# datasets

hub_id: lhallee/dl_binary_reg
license: []
language: []
config_name: default
column_names: ["seqs", "labels"]
features: "[{'name': 'seqs', 'dtype': 'string'}, {'name': 'labels', 'dtype': 'int64'}]"
tags:
["size_categories:1K<n<10K", "parquet", "text", "datasets", "pandas", "mlcroissant", "region:us", "croissant"]


hub_id: lhallee/dl_ten_reg
license: []
language: []
config_name: default
column_names: ["seqs", "labels"]
features: "[{'name': 'seqs', 'dtype': 'string'}, {'name': 'labels', 'dtype': 'int64'}]"
tags:
["size_categories:10K<n<100K", "parquet", "text", "datasets", "pandas", "mlcroissant", "region:us", "croissant"]


hub_id: patrickcleeve/autolamella
license: ["mit"]
language: []
config_name: waffle
column_names: ["image", "annotation"]
features: "[{'name': 'image', 'dtype': 'image'}, {'name': 'annotation', 'dtype': 'image'}]"
tags:
["license:mit", "size_categories:1K<n<10K", "parquet", "image", "datasets", "dask", "mlcroissant", "region:us", "croissant"]


hub_id: pszemraj/inception-trailer-480p
license: ["odc-by"]
language: []
config_name: preds-swinv2-base-p4-w12to24-192to384-22kto1k-film-shot-types
column_names: ["image", "id", "label", "score"]
tags:
["task_categories:image-classification", "license:odc-by", "size_categories:n<1K", "parquet", "image", "text", "datasets", "pandas", "mlcroissant", "region:us", "croissant"]

features:
"[{'name': 'image', 'dtype': 'image'}, {'name': 'id', 'dtype': 'int64'}, {'name': 'label', 'dtype': 'string'}, {'name': 'score', 'dtype': 'float64'}]"


hub_id: fal-ai/imgsys-results
license: ["cc-by-sa-4.0"]
language: []
config_name: default
column_names: ["model_a", "model_b", "preference", "prompt"]
tags:
["task_categories:image-classification", "license:cc-by-sa-4.0", "size_categories:10M<n<100M", "parquet", "text", "datasets", "pandas", "mlcroissant", "region:us", "art", "croissant"]

features:
"[{'name': 'model_a', 'dtype': 'string'}, {'name': 'model_b', 'dtype': 'string'}, {'name': 'preference', 'dtype': 'float64'}, {'name': 'prompt', 'dtype': 'string'}]"


hub_id: Hexamind/spider-clean-text-to-sql
license: []
language: ["en"]
config_name: default
column_names: ["db_id", "query", "question", "schema"]
tags:
["task_categories:text2text-generation", "language:en", "size_categories:1K<n<10K", "parquet", "text", "datasets", "pandas", "mlcroissant", "region:us", "text-to-sql", "sql", "spider", "croissant"]

features:
"[{'name': 'db_id', 'dtype': 'string'}, {'name': 'query', 'dtype': 'string'}, {'name': 'question', 'dtype': 'string'}, {'name': 'schema', 'dtype': 'string'}]"


hub_id: Alan-health/msdmanual_patients
license: []
language: []
config_name: default
column_names: ["id", "url", "section", "title", "text_raw", "text", "__index_level_0__"]
features:
"[{'name': 'id', 'dtype': 'string'}, {'name': 'url', 'dtype': 'string'}, {'name': 'section', 'dtype': 'string'}, {'name': 'title', 'dtype': 'string'}, {'name': 'text_raw', 'dtype': 'string'}, {'name': 'text', 'dtype': 'string'}, {'name': '__index_level_0__', 'dtype': 'int64'}]"


hub_id: OmBayus/turkgpt_dataset
license: []
language: ["tr", "en"]
config_name: data99
column_names: ["id", "text", "meta"]
tags:
["language:tr", "language:en", "size_categories:100M<n<1B", "parquet", "text", "datasets", "pandas", "mlcroissant", "region:us", "turkgpt", "croissant"]

features:
"[{'name': 'id', 'dtype': 'int64'}, {'name': 'text', 'dtype': 'string'}, {'name': 'meta', 'struct': [{'name': 'annotations', 'sequence': 'string'}, {'name': 'identification', 'struct': [{'name': 'label', 'dtype': 'string'}, {'name': 'prob', 'dtype': 'float64'}]}, {'name': 'line_identifications', 'list': [{'name': 'label', 'dtype': 'string'}, {'name': 'prob', 'dtype': 'float64'}]}, {'name': 'warc_headers', 'struct': [{'name': 'content-length', 'dtype': 'int64'}, {'name': 'content-type', 'dtype': 'string'}, {'name': 'warc-block-digest', 'dtype': 'string'}, {'name': 'warc-date', 'dtype': 'string'}, {'name': 'warc-identified-content-language', 'dtype': 'string'}, {'name': 'warc-record-id', 'dtype': 'string'}, {'name': 'warc-refers-to', 'dtype': 'string'}, {'name': 'warc-target-uri', 'dtype': 'string'}, {'name': 'warc-type', 'dtype': 'string'}]}]}]"


hub_id: bczhou/CityVQA-v0.2
license: []
language: []
config_name: default
column_names: ["choices", "view", "question", "answer", "rationale", "pil_image"]
tags:
["size_categories:100K<n<1M", "parquet", "image", "text", "datasets", "dask", "mlcroissant", "region:us", "croissant"]

features:
"[{'name': 'choices', 'sequence': 'string'}, {'name': 'view', 'dtype': 'string'}, {'name': 'question', 'dtype': 'string'}, {'name': 'answer', 'dtype': 'string'}, {'name': 'rationale', 'dtype': 'string'}, {'name': 'pil_image', 'dtype': 'image'}]"


hub_id: OmBayus/Turk-GPT-Dataset-tr-1
license: []
language: []
config_name: default
column_names: ["id", "text", "meta"]
tags:
["size_categories:100K<n<1M", "parquet", "text", "datasets", "dask", "mlcroissant", "region:us", "croissant"]

features:
"[{'name': 'id', 'dtype': 'int64'}, {'name': 'text', 'dtype': 'string'}, {'name': 'meta', 'struct': [{'name': 'annotations', 'sequence': 'string'}, {'name': 'identification', 'struct': [{'name': 'label', 'dtype': 'string'}, {'name': 'prob', 'dtype': 'float64'}]}, {'name': 'line_identifications', 'list': [{'name': 'label', 'dtype': 'string'}, {'name': 'prob', 'dtype': 'float64'}]}, {'name': 'warc_headers', 'struct': [{'name': 'content-length', 'dtype': 'int64'}, {'name': 'content-type', 'dtype': 'string'}, {'name': 'warc-block-digest', 'dtype': 'string'}, {'name': 'warc-date', 'dtype': 'string'}, {'name': 'warc-identified-content-language', 'dtype': 'string'}, {'name': 'warc-record-id', 'dtype': 'string'}, {'name': 'warc-refers-to', 'dtype': 'string'}, {'name': 'warc-target-uri', 'dtype': 'string'}, {'name': 'warc-type', 'dtype': 'string'}]}]}]"


hub_id: Saibo-creator/synthie-LLM-generation
license: []
language: []
config_name: default
column_names: ["id", "input", "output", "prompt", "label"]
features:
"[{'name': 'id', 'dtype': 'int64'}, {'name': 'input', 'dtype': 'string'}, {'name': 'output', 'dtype': 'string'}, {'name': 'prompt', 'dtype': 'string'}, {'name': 'label', 'dtype': 'string'}]"


hub_id: Saibo-creator/ptb-LLM-generation
license: []
language: []
config_name: default
column_names: ["id", "input", "output", "prompt", "label"]
features:
"[{'name': 'id', 'dtype': 'int64'}, {'name': 'input', 'dtype': 'string'}, {'name': 'output', 'dtype': 'string'}, {'name': 'prompt', 'dtype': 'null'}, {'name': 'label', 'dtype': 'string'}]"


hub_id: JJhooww/system_chat_ptbr
license: []
language: []
config_name: default
column_names: ["conversations"]
features:
"[{'name': 'conversations', 'list': [{'name': 'from', 'dtype': 'string'}, {'name': 'value', 'dtype': 'string'}]}]"


hub_id: Howard881010/Climate-dataset
license: []
language: []
config_name: default
column_names: ["input", "output", "instruction"]
tags:
["size_categories:n<1K", "parquet", "text", "datasets", "pandas", "mlcroissant", "region:us", "croissant"]

features:
"[{'name': 'input', 'dtype': 'string'}, {'name': 'output', 'dtype': 'string'}, {'name': 'instruction', 'dtype': 'string'}]"


hub_id: LinguaLift/IndicMMLU-Pro
license: []
language: []
config_name: default
tags:
["size_categories:100K<n<1M", "parquet", "tabular", "text", "datasets", "pandas", "mlcroissant", "region:us", "croissant"]

column_names:
["question_id", "question", "options", "answer", "answer_index", "cot_content", "category", "src", "language", "split"]

features:
"[{'name': 'question_id', 'dtype': 'int64'}, {'name': 'question', 'dtype': 'string'}, {'name': 'options', 'sequence': 'string'}, {'name': 'answer', 'dtype': 'string'}, {'name': 'answer_index', 'dtype': 'int64'}, {'name': 'cot_content', 'dtype': 'string'}, {'name': 'category', 'dtype': 'string'}, {'name': 'src', 'dtype': 'string'}, {'name': 'language', 'dtype': 'string'}, {'name': 'split', 'dtype': 'string'}]"


hub_id: Stable-Diffusion-PT/image-transformation
license: []
language: []
config_name: default
column_names: ["pre_edit", "post_edit", "prompt"]
tags:
["size_categories:n<1K", "parquet", "image", "text", "datasets", "pandas", "mlcroissant", "region:us", "croissant"]

features:
"[{'name': 'pre_edit', 'dtype': 'image'}, {'name': 'post_edit', 'dtype': 'image'}, {'name': 'prompt', 'dtype': 'string'}]"


hub_id: 0x7o/the-data-2024-22-ru-sample
license: []
language: []
config_name: default
column_names: ["text", "url", "date"]
features:
"[{'name': 'text', 'dtype': 'string'}, {'name': 'url', 'dtype': 'string'}, {'name': 'date', 'dtype': 'string'}]"


hub_id: Jungsooooo/mp2-item-llama3-dataset
license: ["mit"]
language: []
config_name: default
tags:
["license:mit", "size_categories:n<1K", "parquet", "tabular", "text", "datasets", "pandas", "mlcroissant", "region:us", "croissant"]

column_names:
["gamename", "kind", "name", "type", "rarity", "damage", "defense", "attributes", "strength", "agility", "durability", "weight", "description"]

features:
"[{'name': 'gamename', 'dtype': 'string'}, {'name': 'kind', 'dtype': 'string'}, {'name': 'name', 'dtype': 'string'}, {'name': 'type', 'dtype': 'string'}, {'name': 'rarity', 'dtype': 'string'}, {'name': 'damage', 'dtype': 'float64'}, {'name': 'defense', 'dtype': 'float64'}, {'name': 'attributes', 'dtype': 'float64'}, {'name': 'strength', 'dtype': 'float64'}, {'name': 'agility', 'dtype': 'float64'}, {'name': 'durability', 'dtype': 'float64'}, {'name': 'weight', 'dtype': 'float64'}, {'name': 'description', 'dtype': 'string'}]"


hub_id: lhallee/CLEAN
license: []
language: []
config_name: default
column_names: ["Entry", "EC number", "Sequence"]
tags:
["size_categories:100K<n<1M", "parquet", "text", "datasets", "pandas", "mlcroissant", "region:us", "croissant"]

features:
"[{'name': 'Entry', 'dtype': 'string'}, {'name': 'EC number', 'dtype': 'string'}, {'name': 'Sequence', 'dtype': 'string'}]"


hub_id: proguidemc/personas-info-dataset
license: []
language: []
config_name: default
column_names: ["input_ids", "attention_mask", "start_positions", "end_positions"]
tags:
["size_categories:10K<n<100K", "parquet", "tabular", "datasets", "pandas", "mlcroissant", "region:us", "croissant"]

features:
"[{'name': 'input_ids', 'sequence': 'int32'}, {'name': 'attention_mask', 'sequence': 'int8'}, {'name': 'start_positions', 'dtype': 'int64'}, {'name': 'end_positions', 'dtype': 'int64'}]"


hub_id: wannaphong/chat11_dataset
license: []
language: []
config_name: default
column_names: ["messages", "source"]
tags:
["size_categories:1M<n<10M", "parquet", "text", "datasets", "dask", "mlcroissant", "region:us", "croissant"]

features:
"[{'name': 'messages', 'list': [{'name': 'content', 'dtype': 'string'}, {'name': 'role', 'dtype': 'string'}]}, {'name': 'source', 'dtype': 'string'}]"


hub_id: Howard881010/financial-dataset-summary
license: []
language: []
config_name: default
column_names: ["input", "output", "instruction", "__index_level_0__"]
features:
"[{'name': 'input', 'dtype': 'string'}, {'name': 'output', 'dtype': 'string'}, {'name': 'instruction', 'dtype': 'string'}, {'name': '__index_level_0__', 'dtype': 'int64'}]"


hub_id: lhallee/pinui_yeast_set
license: []
language: []
config_name: default
column_names: ["SeqA", "SeqB", "labels"]
tags:
["size_categories:100K<n<1M", "parquet", "text", "datasets", "pandas", "mlcroissant", "region:us", "croissant"]

features:
"[{'name': 'SeqA', 'dtype': 'string'}, {'name': 'SeqB', 'dtype': 'string'}, {'name': 'labels', 'dtype': 'int64'}]"


hub_id: CashClubCorporation/furniture-inpaint-set1
license: []
language: []
config_name: default
column_names: ["prompt", "image", "mask_0", "mask_1", "mask_2"]
tags:
["size_categories:n<1K", "parquet", "image", "text", "datasets", "pandas", "mlcroissant", "region:us", "croissant"]

features:
"[{'name': 'prompt', 'dtype': 'string'}, {'name': 'image', 'dtype': 'image'}, {'name': 'mask_0', 'dtype': 'image'}, {'name': 'mask_1', 'dtype': 'image'}, {'name': 'mask_2', 'dtype': 'image'}]"


hub_id: Howard881010/financial-dataset-numerical
license: ["mit"]
language: []
config_name: default
column_names: ["input", "output", "instruction", "__index_level_0__"]
tags:
["license:mit", "size_categories:1K<n<10K", "parquet", "text", "datasets", "pandas", "mlcroissant", "region:us", "croissant"]

features:
"[{'name': 'input', 'dtype': 'string'}, {'name': 'output', 'dtype': 'string'}, {'name': 'instruction', 'dtype': 'string'}, {'name': '__index_level_0__', 'dtype': 'int64'}]"


hub_id: proguidemc/diligencias-127-dataset-test
license: []
language: []
config_name: default
column_names: ["input_ids", "token_type_ids", "attention_mask", "start_positions", "end_positions"]
tags:
["size_categories:1K<n<10K", "parquet", "tabular", "datasets", "pandas", "mlcroissant", "region:us", "croissant"]

features:
"[{'name': 'input_ids', 'sequence': 'int32'}, {'name': 'token_type_ids', 'sequence': 'int8'}, {'name': 'attention_mask', 'sequence': 'int8'}, {'name': 'start_positions', 'dtype': 'int64'}, {'name': 'end_positions', 'dtype': 'int64'}]"


hub_id: EagleOfSpades/small-prokaryote-CDS
license: []
language: []
config_name: default
column_names: ["Header", "Protein", "AA", "Codon", "Protein_id", "Organism Name", "Lineage"]
tags:
["size_categories:n<1K", "parquet", "text", "datasets", "pandas", "mlcroissant", "region:us", "croissant"]

features:
"[{'name': 'Header', 'dtype': 'string'}, {'name': 'Protein', 'dtype': 'string'}, {'name': 'AA', 'dtype': 'string'}, {'name': 'Codon', 'dtype': 'string'}, {'name': 'Protein_id', 'dtype': 'string'}, {'name': 'Organism Name', 'dtype': 'string'}, {'name': 'Lineage', 'dtype': 'string'}]"


hub_id: dddraxxx/grit_64k
license: []
language: []
config_name: default
tags:
["size_categories:10K<n<100K", "parquet", "image", "text", "datasets", "dask", "mlcroissant", "region:us", "croissant"]

column_names:
["key", "clip_similarity_vitb32", "clip_similarity_vitl14", "id", "url", "caption", "width", "height", "noun_chunks", "ref_exps", "image"]

features:
"[{'name': 'key', 'dtype': 'string'}, {'name': 'clip_similarity_vitb32', 'dtype': 'float64'}, {'name': 'clip_similarity_vitl14', 'dtype': 'float64'}, {'name': 'id', 'dtype': 'int64'}, {'name': 'url', 'dtype': 'string'}, {'name': 'caption', 'dtype': 'string'}, {'name': 'width', 'dtype': 'int64'}, {'name': 'height', 'dtype': 'int64'}, {'name': 'noun_chunks', 'sequence': {'sequence': 'float64'}}, {'name': 'ref_exps', 'sequence': {'sequence': 'float64'}}, {'name': 'image', 'dtype': 'image'}]"


hub_id: proguidemc/personas-info-dataset-dev
license: []
language: []
config_name: default
column_names: ["context", "question", "answers"]
features:
"[{'name': 'context', 'dtype': 'string'}, {'name': 'question', 'dtype': 'string'}, {'name': 'answers', 'sequence': [{'name': 'text', 'dtype': 'string'}, {'name': 'answer_start', 'dtype': 'int32'}]}]"


hub_id: lim142857/iem_coco_s1
license: []
language: []
config_name: default
column_names: ["image", "mask", "masked_image", "src_info"]
features:
"[{'name': 'image', 'dtype': 'image'}, {'name': 'mask', 'dtype': 'image'}, {'name': 'masked_image', 'dtype': 'image'}, {'name': 'src_info', 'dtype': 'string'}]"


hub_id: toramaru-u/tmp-cc-100-ja-nsp
license: []
language: []
config_name: default
column_names: ["idx", "next_sentence_label", "sentence_a", "sentence_b"]
tags:
["size_categories:100M<n<1B", "parquet", "tabular", "text", "datasets", "dask", "mlcroissant", "region:us", "croissant"]

features:
"[{'name': 'idx', 'dtype': 'int64'}, {'name': 'next_sentence_label', 'dtype': 'int64'}, {'name': 'sentence_a', 'dtype': 'string'}, {'name': 'sentence_b', 'dtype': 'string'}]"


hub_id: Mollel/SwahiliNewsClassfication
license: []
language: []
config_name: default
column_names: ["content", "category", "label"]
features:
"[{'name': 'content', 'dtype': 'string'}, {'name': 'category', 'dtype': 'string'}, {'name': 'label', 'dtype': 'int64'}]"


hub_id: Tinsae/Fish-01
license: []
language: []
config_name: default
column_names: ["image", "filename", "length", "split"]
tags:
["size_categories:10K<n<100K", "parquet", "image", "text", "datasets", "dask", "mlcroissant", "region:us", "croissant"]

features:
"[{'name': 'image', 'dtype': 'image'}, {'name': 'filename', 'dtype': 'string'}, {'name': 'length', 'dtype': 'float32'}, {'name': 'split', 'dtype': 'string'}]"


hub_id: marceloslo/2016
license: []
language: []
config_name: default
column_names: ["timestamp","url","content"]
tags:
["size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"timestamp","dtype":"timestamp[s]"},{"name":"url","dtype":"string"},{"name":"content","dtype":"string"}]


hub_id: HODACHI/synthetic_data_llama-3-8b-instruct-sppo-iter1_score
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["chosen","rejected","chosen_probs","chosen_probs_win","chosen_probs_lose"]
features:
[{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"chosen_probs","dtype":"float64"},{"name":"chosen_probs_win","dtype":"float64"},{"name":"chosen_probs_lose","dtype":"float64"}]


hub_id: kojongmo/user_unzip
license: []
language: []
config_name: default
column_names: ["file"]
tags:
["size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"file","struct":[{"name":"filename","dtype":"string"},{"name":"filepath","dtype":"string"}]}]


hub_id: isopxl/ControlNetFocusSemanticMap
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["image","condition","prompt"]
tags:
["license:apache-2.0","size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"condition","dtype":"image"},{"name":"prompt","dtype":"string"}]


hub_id: anhdungitvn/ese_vi
license: []
language: []
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["size_categories:100M<n<1B","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: Sofoklis/rna_black_1024
license: []
language: []
config_name: default
column_names: ["image","caption","name","sequence"]
tags:
["size_categories:n<1K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"caption","dtype":"string"},{"name":"name","dtype":"string"},{"name":"sequence","dtype":"string"}]


hub_id: Sofoklis/RF00002
license: []
language: []
config_name: default
column_names: ["number","name","sequence","spaced_sequence","array","image"]
tags:
["size_categories:1K<n<10K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"number","dtype":"int64"},{"name":"name","dtype":"string"},{"name":"sequence","dtype":"string"},{"name":"spaced_sequence","dtype":"string"},{"name":"array","sequence":{"sequence":"float64"}},{"name":"image","dtype":"image"}]


hub_id: jbrinkma/tinystories-v2-clean-tokenized
license: ["cdla-sharing-1.0"]
language: []
config_name: default
column_names: ["tokens"]
features: [{"name":"tokens","sequence":"int64"}]
tags:
["license:cdla-sharing-1.0","size_categories:1M<n<10M","parquet","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: Rubilax/goat
license: ["mit"]
language: ["ru"]
config_name: matching_literature
column_names: ["input","answer"]
features: [{"name":"input","dtype":"string"},{"name":"answer","dtype":"string"}]
tags:
["task_categories:question-answering","language:ru","license:mit","size_categories:1K<n<10K","csv","text","datasets","pandas","mlcroissant","region:us","sociology","croissant"]


hub_id: apollo-research/sae-skeskinen-TinyStories-hf-tokenizer-gpt2_play
license: []
language: []
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: anhdungitvn/vmlu_v1.5
license: []
language: []
config_name: default
column_names: ["id","question","choices","answer","prompt"]
tags:
["size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"choices","sequence":"string"},{"name":"answer","dtype":"string"},{"name":"prompt","dtype":"string"}]


hub_id: Sketched33/Cities_Geographic_Historic_Cultural_Data
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["city_name","latitude","longitude","data_type","data"]
tags:
["license:apache-2.0","size_categories:n<1K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"city_name","dtype":"string"},{"name":"latitude","dtype":"float64"},{"name":"longitude","dtype":"float64"},{"name":"data_type","dtype":"string"},{"name":"data","dtype":"string"}]


hub_id: confit/audioset-demo
license: []
language: []
config_name: default
column_names: ["audio","sound","label"]
tags:
["task_categories:audio-classification","size_categories:10K<n<100K","parquet","audio","text","datasets","dask","mlcroissant","region:us","multilabel","large-scale","croissant"]

features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":32000}}},{"name":"sound","sequence":"string"},{"name":"label","sequence":{"class_label":{"names":{"0":"Power windows, electric windows","1":"Swing music","2":"Male speech, man speaking","3":"Keyboard (musical)","4":"Video game music","5":"Thunderstorm","6":"Fire engine, fire truck (siren)","7":"Fixed-wing aircraft, airplane","8":"Female singing","9":"Applause","10":"Train whistle","11":"Chicken, rooster","12":"Clapping","13":"Harmonica","14":"Blues","15":"Pig","16":"Timpani","17":"Smoke detector, smoke alarm","18":"Music","19":"Traffic noise, roadway noise","20":"Pink noise","21":"Jackhammer","22":"Clarinet","23":"Bus","24":"Ding","25":"Traditional music","26":"Sigh","27":"Bell","28":"Sine wave","29":"Buzzer","30":"Independent music","31":"Clang","32":"Sitar","33":"Train wheels squealing","34":"Cash register","35":"Turkey","36":"Frying (food)","37":"Telephone dialing, DTMF","38":"Pop music","39":"Exciting music","40":"Chorus effect","41":"Ratchet, pawl","42":"Roll","43":"Squeal","44":"Drum kit","45":"Electronic music","46":"Children playing","47":"Howl","48":"Mechanisms","49":"Rimshot","50":"Music of Africa","51":"Whir","52":"Conversation","53":"Microwave oven","54":"Change ringing (campanology)","55":"Bicycle bell","56":"Punk rock","57":"Gunshot, gunfire","58":"Clicking","59":"Train horn","60":"Ambient music","61":"Splinter","62":"Tubular bells","63":"Baby cry, infant cry","64":"Vocal music","65":"Carnatic music","66":"Air horn, truck horn","67":"Eruption","68":"Rain","69":"Ding-dong","70":"Glass","71":"Toilet flush","72":"Trombone","73":"Artillery fire","74":"Electronic organ","75":"Neigh, whinny","76":"Bouncing","77":"Reggae","78":"Rapping","79":"Battle cry","80":"New-age music","81":"Wedding music","82":"Waterfall","83":"Beatboxing","84":"Ringtone","85":"Scratching (performance technique)","86":"Jingle (music)","87":"Singing bowl","88":"Moo","89":"Mouse","90":"Typewriter","91":"Screaming","92":"Bathtub (filling or washing)","93":"Race car, auto racing","94":"Crackle","95":"Child speech, kid speaking","96":"Flute","97":"Whimper","98":"Heavy metal","99":"Inside, public space","100":"Ambulance (siren)","101":"Smash, crash","102":"Music for children","103":"Squeak","104":"Electronic dance music","105":"Cheering","106":"Aircraft","107":"Car","108":"Cacophony","109":"Shout","110":"Electric piano","111":"Heart murmur","112":"Crowd","113":"Roaring cats (lions, tigers)","114":"Frog","115":"Brass instrument","116":"Orchestra","117":"Light engine (high frequency)","118":"Whimper (dog)","119":"Cricket","120":"Rock music","121":"Speech synthesizer","122":"Sheep","123":"Crow","124":"Tearing","125":"A capella","126":"Walk, footsteps","127":"Pulleys","128":"Train","129":"Single-lens reflex camera","130":"Fowl","131":"Zither","132":"Motorcycle","133":"Theremin","134":"Squawk","135":"Shatter","136":"Chirp, tweet","137":"Coo","138":"Car alarm","139":"Livestock, farm animals, working animals","140":"Pant","141":"Splash, splatter","142":"Crunch","143":"Chant","144":"Creak","145":"Scratch","146":"Police car (siren)","147":"Hands","148":"Wild animals","149":"Tambourine","150":"Dance music","151":"Chink, clink","152":"Whoop","153":"Motor vehicle (road)","154":"Heavy engine (low frequency)","155":"Drum roll","156":"Chuckle, chortle","157":"Emergency vehicle","158":"Sampler","159":"Country","160":"Rustling leaves","161":"Drum","162":"Electric toothbrush","163":"Arrow","164":"Dial tone","165":"Lullaby","166":"Zing","167":"Reversing beeps","168":"Raindrop","169":"Electric shaver, electric razor","170":"Pulse","171":"Background music","172":"Mandolin","173":"Babbling","174":"Oink","175":"Jingle, tinkle","176":"Boat, Water vehicle","177":"Purr","178":"Coin (dropping)","179":"Bird vocalization, bird call, bird song","180":"Computer keyboard","181":"Power tool","182":"Fly, housefly","183":"Stir","184":"Sneeze","185":"Meow","186":"White noise","187":"Sawing","188":"Quack","189":"Goat","190":"Snoring","191":"Progressive rock","192":"Squish","193":"Plop","194":"Skidding","195":"Caw","196":"Gospel music","197":"Chirp tone","198":"Percussion","199":"Folk music","200":"Hip hop music","201":"Chainsaw","202":"Wood block","203":"Saxophone","204":"Hair dryer","205":"Drawer open or close","206":"Sonar","207":"Marimba, xylophone","208":"Speech","209":"Cap gun","210":"Sound effect","211":"Burst, pop","212":"Knock","213":"Writing","214":"Machine gun","215":"Tabla","216":"Snare drum","217":"Bark","218":"Crowing, cock-a-doodle-doo","219":"Giggle","220":"Gargling","221":"Gush","222":"Fireworks","223":"Goose","224":"Throbbing","225":"Snake","226":"Vehicle","227":"Distortion","228":"Boiling","229":"Keys jangling","230":"Spray","231":"Angry music","232":"Shofar","233":"Propeller, airscrew","234":"Grunt","235":"Breathing","236":"Inside, large room or hall","237":"Beep, bleep","238":"Boom","239":"Mallet percussion","240":"Sewing machine","241":"Bow-wow","242":"Gobble","243":"Rub","244":"Waves, surf","245":"Plucked string instrument","246":"Dog","247":"Opera","248":"Whale vocalization","249":"Steelpan","250":"Bass guitar","251":"Chime","252":"Subway, metro, underground","253":"Rodents, rats, mice","254":"Harmonic","255":"Clickety-clack","256":"Cello","257":"Bee, wasp, etc.","258":"Wood","259":"Acoustic guitar","260":"Biting","261":"Rowboat, canoe, kayak","262":"Wail, moan","263":"Humming","264":"Buzz","265":"Growling","266":"Mains hum","267":"Female speech, woman speaking","268":"Cluck","269":"Cowbell","270":"Bluegrass","271":"Whispering","272":"Insect","273":"Inside, small room","274":"Slap, smack","275":"Afrobeat","276":"Siren","277":"String section","278":"Tick-tock","279":"Clip-clop","280":"Yip","281":"Mechanical fan","282":"Wind instrument, woodwind instrument","283":"Roar","284":"Guitar","285":"Chewing, mastication","286":"Heart sounds, heartbeat","287":"Croak","288":"Violin, fiddle","289":"Sniff","290":"Whoosh, swoosh, swish","291":"Wind chime","292":"Ship","293":"Vehicle horn, car horn, honking","294":"Church bell","295":"Tap","296":"Scissors","297":"Breaking","298":"Soundtrack music","299":"Music of Bollywood","300":"Cutlery, silverware","301":"Sailboat, sailing ship","302":"Strum","303":"Clock","304":"Child singing","305":"Hiccup","306":"Run","307":"Steam","308":"Harpsichord","309":"Electronica","310":"Flap","311":"Accelerating, revving, vroom","312":"Boing","313":"Alarm clock","314":"Christian music","315":"Alarm","316":"Electric guitar","317":"Hammer","318":"Medium engine (mid frequency)","319":"Tender music","320":"Cat","321":"Funk","322":"Bellow","323":"Bird","324":"Field recording","325":"Car passing by","326":"Noise","327":"Psychedelic rock","328":"Pour","329":"Ocean","330":"Shuffle","331":"Soul music","332":"Air conditioning","333":"Lawn mower","334":"Narration, monologue","335":"Toot","336":"Throat clearing","337":"Chatter","338":"Synthesizer","339":"Water","340":"Bird flight, flapping wings","341":"Chopping (food)","342":"Crying, sobbing","343":"Hammond organ","344":"Fill (with liquid)","345":"Fusillade","346":"French horn","347":"Vacuum cleaner","348":"Stomach rumble","349":"Jazz","350":"Gears","351":"Music of Latin America","352":"Sliding door","353":"Cymbal","354":"House music","355":"Railroad car, train wagon","356":"Bass drum","357":"Double bass","358":"Hiss","359":"Mosquito","360":"Christmas music","361":"Synthetic singing","362":"Trumpet","363":"Gong","364":"Jet engine","365":"Yell","366":"Cupboard open or close","367":"Snort","368":"Effects unit","369":"Rain on surface","370":"Thunk","371":"Gurgling","372":"Idling","373":"Liquid","374":"Accordion","375":"Ukulele","376":"Foghorn","377":"Singing","378":"Baby laughter","379":"Rumble","380":"Hum","381":"Pump (liquid)","382":"Door","383":"Caterwaul","384":"Firecracker","385":"Tapping (guitar technique)","386":"Whistle","387":"Canidae, dogs, wolves","388":"Basketball bounce","389":"Pigeon, dove","390":"Maraca","391":"Chop","392":"Dental drill, dentist's drill","393":"Classical music","394":"Hi-hat","395":"Vibraphone","396":"Vibration","397":"Electronic tuner","398":"Rhythm and blues","399":"Thump, thud","400":"Glockenspiel","401":"Helicopter","402":"Fire alarm","403":"Rock and roll","404":"Animal","405":"Rustle","406":"Finger snapping","407":"Whip","408":"Television","409":"Telephone","410":"Outside, rural or natural","411":"Tire squeal","412":"Children shouting","413":"Middle Eastern music","414":"Banjo","415":"Drum and bass","416":"Honk","417":"Explosion","418":"Bowed string instrument","419":"Sad music","420":"Thunder","421":"Water tap, faucet","422":"Tick","423":"Sidetone","424":"Tuning fork","425":"Gasp","426":"Rattle (instrument)","427":"Stream","428":"Hubbub, speech noise, speech babble","429":"Drip","430":"Doorbell","431":"Bang","432":"Civil defense siren","433":"Salsa music","434":"Rail transport","435":"Bagpipes","436":"Musical instrument","437":"Crushing","438":"Steam whistle","439":"Choir","440":"Organ","441":"Whistling","442":"Piano","443":"Dubstep","444":"Bleat","445":"Sink (filling or washing)","446":"Snicker","447":"Duck","448":"Theme music","449":"Laughter","450":"Dishes, pots, and pans","451":"Drill","452":"Typing","453":"Reverberation","454":"Drum machine","455":"Patter","456":"Happy music","457":"Music of Asia","458":"Ska","459":"Flamenco","460":"Hoot","461":"Didgeridoo","462":"Camera","463":"Telephone bell ringing","464":"Busy signal","465":"Sizzle","466":"Owl","467":"Outside, urban or manmade","468":"Horse","469":"Sanding","470":"Jingle bell","471":"Male singing","472":"Skateboard","473":"Slam","474":"Zipper (clothing)","475":"Crumpling, crinkling","476":"Clatter","477":"Techno","478":"Funny music","479":"Static","480":"Crack","481":"Radio","482":"Environmental noise","483":"Motorboat, speedboat","484":"Shuffling cards","485":"Aircraft engine","486":"Ice cream truck, ice cream van","487":"Trickle, dribble","488":"Scrape","489":"Scary music","490":"Disco","491":"Yodeling","492":"Toothbrush","493":"Burping, eructation","494":"Wind noise (microphone)","495":"Trance music","496":"Engine","497":"Printer","498":"Mantra","499":"Echo","500":"Fart","501":"Bicycle","502":"Grunge","503":"Pizzicato","504":"Groan","505":"Harp","506":"Wheeze","507":"Blender","508":"Cattle, bovinae","509":"Engine starting","510":"Ping","511":"Tools","512":"Cough","513":"Fire","514":"Domestic animals, pets","515":"Silence","516":"Slosh","517":"Song","518":"Air brake","519":"Truck","520":"Wind","521":"Engine knocking","522":"Steel guitar, slide guitar","523":"Belly laugh","524":"Filing (rasp)","525":"Whack, thwack","526":"Rattle"}}}}]


hub_id: gusevvan/kontur_sobes
license: []
language: []
config_name: default
column_names: ["image","label"]
tags:
["size_categories:1K<n<10K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"-1","1":"0","2":"1"}}}}]


hub_id: wisenut-nlp-team/finetune
license: []
language: []
config_name: default
column_names: ["id","title","question","context","answer","original_answer","similar_contexts"]
tags:
["size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"question","dtype":"string"},{"name":"context","sequence":"string"},{"name":"answer","sequence":"string"},{"name":"original_answer","sequence":"string"},{"name":"similar_contexts","sequence":"string"}]


hub_id: KnightHardik/temp-astro-full-text
license: []
language: []
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: Wouter01/re10ksmalltrainn
license: []
language: []
config_name: train
column_names: ["conditioning_image","ground_truth_image","prompt"]
features:
[{"name":"conditioning_image","dtype":"image"},{"name":"ground_truth_image","dtype":"image"},{"name":"prompt","dtype":"string"}]


hub_id: mbodiai/utokyo_xarm_pick_and_place_chat_ml
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["user","assistant","images","metadata"]
tags:
["license:apache-2.0","size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"user","struct":[{"name":"role","dtype":"string"},{"name":"content","list":"string"}]},{"name":"assistant","struct":[{"name":"role","dtype":"string"},{"name":"content","list":"string"}]},{"name":"images","list":"image"},{"name":"metadata","struct":[{"name":"dataset_name","dtype":"string"},{"name":"first_person","dtype":"bool"}]}]


hub_id: mbodiai/utokyo_xarm_pick_and_place
license: ["mit"]
language: []
config_name: default
column_names: ["past_images","past_actions","future_actions","sample_idx","instruction"]
tags:
["license:mit","size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"past_images","list":"image"},{"name":"past_actions","dtype":{"array2_d":{"shape":[1,7],"dtype":"float32"}}},{"name":"future_actions","dtype":{"array2_d":{"shape":[4,7],"dtype":"float32"}}},{"name":"sample_idx","dtype":"int32"},{"name":"instruction","dtype":"string"}]


hub_id: mbodiai/utokyo_pick_place_5p6f
license: ["mit"]
language: []
config_name: default
column_names: ["past_images","past_actions","future_actions","sample_idx","instruction"]
tags:
["license:mit","size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"past_images","list":"image"},{"name":"past_actions","dtype":{"array2_d":{"shape":[5,7],"dtype":"float32"}}},{"name":"future_actions","dtype":{"array2_d":{"shape":[6,7],"dtype":"float32"}}},{"name":"sample_idx","dtype":"int32"},{"name":"instruction","dtype":"string"}]


hub_id: mattyamonaca/line2line10000
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["image","conditioning","caption"]
tags:
["license:apache-2.0","size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"conditioning","dtype":"image"},{"name":"caption","dtype":"string"}]


hub_id: shyp/test
license: []
language: []
config_name: default
column_names: ["question","prompts","answer"]
tags:
["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","datadreamer","datadreamer-0.28.0","synthetic","gpt-3.5-turbo","croissant"]

features:
[{"name":"question","dtype":"string"},{"name":"prompts","dtype":"string"},{"name":"answer","dtype":"string"}]


hub_id: Karzan/asr_ckb
license: []
language: []
config_name: default
column_names: ["audio","sentence"]
features: [{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"sentence","dtype":"string"}]
tags:
["size_categories:10K<n<100K","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: nadsoft/Faseeh_dataset_v2
license: []
language: []
config_name: default
column_names: ["ar_text","dialect","translation"]
tags:
["size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"ar_text","dtype":"string"},{"name":"dialect","dtype":"string"},{"name":"translation","dtype":"string"}]


hub_id: thinhlpg/8PgXE4pwxrCuvabcxyz
license: []
language: []
config_name: default
column_names: ["channel","text","audio"]
tags:
["size_categories:100M<n<1B","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"channel","dtype":"string"},{"name":"text","dtype":"string"},{"name":"audio","dtype":"audio"}]


hub_id: gyulukeyi/KRMAIL-instruct-pilot
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["idx","messages"]
features:
[{"name":"idx","dtype":"string"},{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: HANTIFARAH/JAWDA_dataset_cleaned
license: []
language: []
config_name: default
column_names: ["text","source","metadata"]
tags:
["size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"source","dtype":"string"},{"name":"metadata","dtype":"string"}]


hub_id: abezguzov/cord_100_samples
license: []
language: []
config_name: default
column_names: ["id","tokens","bboxes","ner_tags","image"]
features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"bboxes","sequence":{"sequence":"int64"}},{"name":"ner_tags","sequence":"string"},{"name":"image","dtype":"image"}]


hub_id: abideen/identity
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["instruction","input","output"]
features:
[{"name":"instruction","dtype":"string"},{"name":"input","dtype":"string"},{"name":"output","dtype":"string"}]


hub_id: BroDeadlines/EVAL.raptor.IR_evaluation
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["question","answer","url","group","doc_id","evaluation","metadata"]
features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"url","dtype":"string"},{"name":"group","dtype":"string"},{"name":"doc_id","dtype":"string"},{"name":"evaluation","list":[{"name":"content","dtype":"string"},{"name":"doc_id","dtype":"string"},{"name":"score","dtype":"float64"}]},{"name":"metadata","dtype":"string"}]


hub_id: mwkldeveloper/TW-Kai_2_MLingWaiPHK_all_128
license: []
language: []
config_name: default
column_names: ["char","unicode","images","target_images","stroke","strokes_sequence","components"]
tags:
["size_categories:10K<n<100K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"char","dtype":"string"},{"name":"unicode","dtype":"string"},{"name":"images","dtype":"image"},{"name":"target_images","dtype":"image"},{"name":"stroke","dtype":"int32"},{"name":"strokes_sequence","sequence":"int32"},{"name":"components","sequence":"int32"}]


hub_id: mii-llm/text-moderation-translated-it
license: []
language: []
config_name: default
column_names: ["translated","text","result"]
tags:
["size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"translated","dtype":"string"},{"name":"text","dtype":"string"},{"name":"result","struct":[{"name":"categories","struct":[{"name":"harassment","dtype":"bool"},{"name":"harassment-threatening","dtype":"bool"},{"name":"hate","dtype":"bool"},{"name":"hate-threatening","dtype":"bool"},{"name":"self-harm","dtype":"bool"},{"name":"self-harm-instructions","dtype":"bool"},{"name":"self-harm-intent","dtype":"bool"},{"name":"sexual","dtype":"bool"},{"name":"sexual-minors","dtype":"bool"},{"name":"violence","dtype":"bool"},{"name":"violence-graphic","dtype":"bool"}]},{"name":"category_scores","struct":[{"name":"harassment","dtype":"float64"},{"name":"harassment-threatening","dtype":"float64"},{"name":"hate","dtype":"float64"},{"name":"hate-threatening","dtype":"float64"},{"name":"self-harm","dtype":"float64"},{"name":"self-harm-instructions","dtype":"float64"},{"name":"self-harm-intent","dtype":"float64"},{"name":"sexual","dtype":"float64"},{"name":"sexual-minors","dtype":"float64"},{"name":"violence","dtype":"float64"},{"name":"violence-graphic","dtype":"float64"}]},{"name":"flagged","dtype":"bool"}]}]


hub_id: YurtsAI/named_entity_recognition_document_context
license: []
language: []
config_name: default
column_names: ["document_id","sentence_id","tokens","ner_tags"]
tags:
["size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"document_id","dtype":"int32"},{"name":"sentence_id","dtype":"int32"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-art-broadcastprogram","2":"I-art-broadcastprogram","3":"B-art-film","4":"I-art-film","5":"B-art-music","6":"I-art-music","7":"B-art-other","8":"I-art-other","9":"B-art-painting","10":"I-art-painting","11":"B-art-writtenart","12":"I-art-writtenart","13":"B-building-airport","14":"I-building-airport","15":"B-building-hospital","16":"I-building-hospital","17":"B-building-hotel","18":"I-building-hotel","19":"B-building-library","20":"I-building-library","21":"B-building-other","22":"I-building-other","23":"B-building-restaurant","24":"I-building-restaurant","25":"B-building-sportsfacility","26":"I-building-sportsfacility","27":"B-building-theater","28":"I-building-theater","29":"B-event-attack/battle/war/militaryconflict","30":"I-event-attack/battle/war/militaryconflict","31":"B-event-disaster","32":"I-event-disaster","33":"B-event-election","34":"I-event-election","35":"B-event-other","36":"I-event-other","37":"B-event-protest","38":"I-event-protest","39":"B-event-sportsevent","40":"I-event-sportsevent","41":"B-location-gpe","42":"I-location-gpe","43":"B-location-bodiesofwater","44":"I-location-bodiesofwater","45":"B-location-island","46":"I-location-island","47":"B-location-mountain","48":"I-location-mountain","49":"B-location-other","50":"I-location-other","51":"B-location-park","52":"I-location-park","53":"B-location-road/railway/highway/transit","54":"I-location-road/railway/highway/transit","55":"B-organization-company","56":"I-organization-company","57":"B-organization-education","58":"I-organization-education","59":"B-organization-government/governmentagency","60":"I-organization-government/governmentagency","61":"B-organization-media/newspaper","62":"I-organization-media/newspaper","63":"B-organization-other","64":"I-organization-other","65":"B-organization-politicalparty","66":"I-organization-politicalparty","67":"B-organization-religion","68":"I-organization-religion","69":"B-organization-showorganization","70":"I-organization-showorganization","71":"B-organization-sportsleague","72":"I-organization-sportsleague","73":"B-organization-sportsteam","74":"I-organization-sportsteam","75":"B-other-astronomything","76":"I-other-astronomything","77":"B-other-award","78":"I-other-award","79":"B-other-biologything","80":"I-other-biologything","81":"B-other-chemicalthing","82":"I-other-chemicalthing","83":"B-other-currency","84":"I-other-currency","85":"B-other-disease","86":"I-other-disease","87":"B-other-educationaldegree","88":"I-other-educationaldegree","89":"B-other-god","90":"I-other-god","91":"B-other-language","92":"I-other-language","93":"B-other-law","94":"I-other-law","95":"B-other-livingthing","96":"I-other-livingthing","97":"B-other-medical","98":"I-other-medical","99":"B-person-actor","100":"I-person-actor","101":"B-person-artist/author","102":"I-person-artist/author","103":"B-person-athlete","104":"I-person-athlete","105":"B-person-director","106":"I-person-director","107":"B-person-other","108":"I-person-other","109":"B-person-politician","110":"I-person-politician","111":"B-person-scholar","112":"I-person-scholar","113":"B-person-soldier","114":"I-person-soldier","115":"B-product-airplane","116":"I-product-airplane","117":"B-product-car","118":"I-product-car","119":"B-product-food","120":"I-product-food","121":"B-product-game","122":"I-product-game","123":"B-product-other","124":"I-product-other","125":"B-product-ship","126":"I-product-ship","127":"B-product-software","128":"I-product-software","129":"B-product-train","130":"I-product-train","131":"B-product-weapon","132":"I-product-weapon","133":"B-datetime-absolute","134":"I-datetime-absolute","135":"B-datetime-relative","136":"I-datetime-relative","137":"B-datetime-range","138":"I-datetime-range","139":"B-datetime-authored","140":"I-datetime-authored"}}}}]


hub_id: GGmorello/FLAMES_results
license: []
language: []
config_name: default
column_names: ["comment","input","label","original_idx","predicate","len","results"]
tags:
["size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"comment","dtype":"string"},{"name":"input","dtype":"string"},{"name":"label","dtype":"string"},{"name":"original_idx","dtype":"int64"},{"name":"predicate","dtype":"string"},{"name":"len","dtype":"int64"},{"name":"results","dtype":"string"}]


hub_id: openpecha/MT_v1.0.2
license: []
language: []
config_name: default
column_names: ["Source","Target","File_Name","Machine Aligned"]
tags:
["size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"Source","dtype":"string"},{"name":"Target","dtype":"string"},{"name":"File_Name","dtype":"string"},{"name":"Machine Aligned","dtype":"bool"}]


hub_id: abideen/identity-dpo
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["prompt","choosen","rejected"]
features:
[{"name":"prompt","dtype":"string"},{"name":"choosen","dtype":"string"},{"name":"rejected","dtype":"string"}]


hub_id: anhdungitvn/ko-lima-vicuna
license: []
language: []
config_name: default
column_names: ["id","conversations"]
features:
[{"name":"id","dtype":"string"},{"name":"conversations","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]}]


hub_id: anhdungitvn/KOREAN-WEBTEXT
license: []
language: []
config_name: default
column_names: ["text","source","token_count","__index_level_0__"]
tags:
["size_categories:1M<n<10M","parquet","tabular","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"source","dtype":"string"},{"name":"token_count","dtype":"int64"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: Chrisneverdie/OnlySports
license: ["mit"]
language: []
config_name: default
column_names: ["text","url","token_count"]
tags:
["license:mit","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"url","dtype":"string"},{"name":"token_count","dtype":"int64"}]


hub_id: enpaiva/proto-demographic-paraguay
license: ["other"]
language: ["es"]
config_name: default
column_names: ["id","texto","datos","topic","web","idioma","pais"]
tags:
["language:es","license:other","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"texto","dtype":"string"},{"name":"datos","dtype":"string"},{"name":"topic","dtype":"string"},{"name":"web","dtype":"string"},{"name":"idioma","dtype":"string"},{"name":"pais","dtype":"string"}]


hub_id: SalmaMohamed100/wazuh1
license: []
language: []
config_name: default
column_names: ["conversations"]
features:
[{"name":"conversations","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: anomaly-mask-distilled-libri-one-sec-cv12/chunk_0
license: []
language: []
config_name: default
column_names: ["audio","logits"]
features: [{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"logits","sequence":"float32"}]
tags:
["size_categories:1K<n<10K","parquet","audio","timeseries","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: anhdungitvn/vi-vtv
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["url","url_md5","title","title_md5","category","sub_category","description","description_md5","content","content_md5","date","date_md5","time","time_md5","date_created"]

features:
[{"name":"url","dtype":"string"},{"name":"url_md5","dtype":"string"},{"name":"title","dtype":"string"},{"name":"title_md5","dtype":"string"},{"name":"category","dtype":"string"},{"name":"sub_category","dtype":"string"},{"name":"description","dtype":"string"},{"name":"description_md5","dtype":"string"},{"name":"content","dtype":"string"},{"name":"content_md5","dtype":"string"},{"name":"date","dtype":"string"},{"name":"date_md5","dtype":"string"},{"name":"time","dtype":"string"},{"name":"time_md5","dtype":"string"},{"name":"date_created","dtype":"string"}]


hub_id: Aring88/blue_audit_dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["instruction","input","output","text"]
features:
[{"name":"instruction","dtype":"string"},{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: DewiBrynJones/commonvoice_18_0_en_cy
license: []
language: []
config_name: default
column_names: ["sentence","language","audio"]
tags:
["size_categories:100K<n<1M","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"sentence","dtype":"string"},{"name":"language","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}}]


hub_id: HyperbeeAI/YoutubeScrape_1k
license: []
language: []
config_name: default
column_names: ["audio","caption"]
tags:
["size_categories:n<1K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"audio","dtype":"audio"},{"name":"caption","struct":[{"name":"text","sequence":"string"}]}]


hub_id: GreenNode/GreenNode_Table_v0.3
license: ["apache-2.0"]
language: []
config_name: queries
column_names: ["_id","text"]
features: [{"name":"_id","dtype":"string"},{"name":"text","dtype":"string"}]
tags:
["license:apache-2.0","size_categories:100K<n<1M","json","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: cairocode/EMOV_IEMO_OMG_MSP_CREMA_005_CROPPED
license: []
language: []
config_name: default
tags:
["size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["speaker","speakerID","label","dataset","valence","arousal","domination","arousal_norm","valence_norm","crop_window","image"]

features:
[{"name":"speaker","dtype":"string"},{"name":"speakerID","dtype":"int64"},{"name":"label","dtype":"int64"},{"name":"dataset","dtype":"string"},{"name":"valence","dtype":"float64"},{"name":"arousal","dtype":"float64"},{"name":"domination","dtype":"float64"},{"name":"arousal_norm","dtype":"float64"},{"name":"valence_norm","dtype":"float64"},{"name":"crop_window","dtype":"string"},{"name":"image","dtype":"binary"}]


hub_id: maniro-ai/2024_06_20_rod_single_pink_berry
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["observation.camera_2","observation.camera_1","observation.camera_0","observation.state","action","episode_index","frame_index","timestamp","index"]

features:
[{"name":"observation.camera_2","dtype":"video_frame"},{"name":"observation.camera_1","dtype":"video_frame"},{"name":"observation.camera_0","dtype":"video_frame"},{"name":"observation.state","sequence":"float32","length":7},{"name":"action","sequence":"float32","length":7},{"name":"episode_index","dtype":"int64"},{"name":"frame_index","dtype":"int64"},{"name":"timestamp","dtype":"float32"},{"name":"index","dtype":"int64"}]


hub_id: rahulgaikwad007/Tensorflow-youtube-sentiment-dataset-custom
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Comment","Sentiment","__index_level_0__"]
features:
[{"name":"Comment","dtype":"string"},{"name":"Sentiment","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: jacobcd52/physics-arxiv
license: []
language: []
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["size_categories:10K<n<100K","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: strickvl/isafpressreleases_with_preds
license: []
language: []
config_name: default
tags:
["size_categories:1K<n<10K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["name","text","predictions","start_date","province","target_group","event_type","min_killed","min_captured","killq","captureq","killcaptureraid","airstrike","noshotsfired","min_leaders_killed","min_leaders_captured"]

features:
[{"name":"name","dtype":"string"},{"name":"text","dtype":"string"},{"name":"predictions","struct":[{"name":"gpt-3.5-turbo","dtype":"string"},{"name":"gpt-4-turbo","dtype":"string"},{"name":"gpt-4o","dtype":"string"}]},{"name":"start_date","dtype":"date32"},{"name":"province","sequence":"string"},{"name":"target_group","sequence":"string"},{"name":"event_type","sequence":"string"},{"name":"min_killed","dtype":"int64"},{"name":"min_captured","dtype":"int64"},{"name":"killq","dtype":"bool"},{"name":"captureq","dtype":"bool"},{"name":"killcaptureraid","dtype":"bool"},{"name":"airstrike","dtype":"bool"},{"name":"noshotsfired","dtype":"bool"},{"name":"min_leaders_killed","dtype":"int64"},{"name":"min_leaders_captured","dtype":"int64"}]


hub_id: hafizalfaza/dataset_ed7b59b8-f609-4efc-a8a0-4cfa44152f75
license: []
language: []
config_name: default
column_names: ["image"]
features: [{"name":"image","dtype":"image"}]
tags:
["size_categories:n<1K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: toramaru-u/cc100-ja-nsp-45
license: []
language: []
config_name: default
column_names: ["idx","next_sentence_label","sentence_a","sentence_b"]
tags:
["size_categories:100M<n<1B","parquet","tabular","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"idx","dtype":"int64"},{"name":"next_sentence_label","dtype":"int64"},{"name":"sentence_a","dtype":"string"},{"name":"sentence_b","dtype":"string"}]


hub_id: wannaphong/chat14_dataset
license: []
language: []
config_name: default
column_names: ["messages","source"]
tags:
["size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"source","dtype":"string"}]


hub_id: strickvl/isafpressreleases_with_preds_2
license: []
language: []
config_name: default
tags:
["size_categories:n<1K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["name","text","predictions","start_date","province","target_group","event_type","min_killed","min_captured","killq","captureq","killcaptureraid","airstrike","noshotsfired","min_leaders_killed","min_leaders_captured"]

features:
[{"name":"name","dtype":"string"},{"name":"text","dtype":"string"},{"name":"predictions","struct":[{"name":"gpt-3.5-turbo","dtype":"string"},{"name":"gpt-4-turbo","dtype":"string"},{"name":"gpt-4o","dtype":"string"},{"name":"tinyllama-sharegpt","dtype":"string"},{"name":"tinyllama-templatefree","dtype":"string"}]},{"name":"start_date","dtype":"date32"},{"name":"province","sequence":"string"},{"name":"target_group","sequence":"string"},{"name":"event_type","sequence":"string"},{"name":"min_killed","dtype":"int64"},{"name":"min_captured","dtype":"int64"},{"name":"killq","dtype":"bool"},{"name":"captureq","dtype":"bool"},{"name":"killcaptureraid","dtype":"bool"},{"name":"airstrike","dtype":"bool"},{"name":"noshotsfired","dtype":"bool"},{"name":"min_leaders_killed","dtype":"int64"},{"name":"min_leaders_captured","dtype":"int64"}]


hub_id: fanaf91318/recommendation-system-384
license: []
language: []
config_name: default
column_names: ["image","label"]
tags:
["size_categories:10K<n<100K","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"165 gts monutorlar toshkentda","1":"27 dyuymli monitorlar toshkentda","2":"2e noutbuk sumkalari toshkentda","3":"2e toshkentda","4":"2k monitorlar toshkentda","5":"2si 1da multistaylerlari toshkentda","6":"32 dyuymli monitorlar toshkentda","7":"4k monitorlar toshkentda","8":"60 gts monitorlar toshkentda","9":"75 gts monitorlar toshkentda","10":"a4tech klaviatura va sichqoncha toshkentda","11":"a4tech toshkentda","12":"acer noutbuk sumkalari toshkentda","13":"acer noutbuklari toshkentda","14":"adapter toshkentda","15":"akva changyutgich toshkentda","16":"apple magic klaviatura toshkentda","17":"apple monobloklar toshkentda","18":"arg konditsioneri toshkentda","19":"artel changyutgichlari toshkentda","20":"artel dazmollari toshkentda","21":"artel fen mashinasi toshkentda","22":"artel havo namlagichlari toshkentda","23":"artel konditsionerlari toshkentda","24":"artel pol tarozilari toshkentda","25":"artel televizorlari toshkentda","26":"asboblar to'plami toshkentda","27":"asus noutbuklari toshkentda","28":"asus wi-fi routerlari toshkentda","29":"atech monobloklari toshkentda","30":"aux kabellar toshkentda","31":"aux konditsionerlari toshkentda","32":"avalon changyutgichlari toshkentda","33":"avalon konditsionerlari toshkentda","34":"avt stabilizatorlar toshkentda","35":"avtech monitorlari toshkentda","36":"azdome toshkentda","37":"azdome videoregistratorlar toshkentda","38":"barcha changyutgichlar toshkentda","39":"barcha kir yuvish mashinalari brendi toshkentda","40":"barcha kondisionerlar toshkentdakonditsioner quvvatini hisoblash","41":"barcha noutbuklar toshkentda","42":"barcha robot changyutgichlar toshkentda","43":"batareyalar toshkentda","44":"benzinli maysazorlar toshkentda","45":"birinchi darajali televizorlar toshkentda","46":"blenderlar toshkentda","47":"bog' uchun chim kesuvchi toshkentda","48":"bolalar uchun shishiriladigan basseynlar toshkentda","49":"bona suv sovutgichilar toshkentda","50":"bosimli yuvish mashinalari huter toshkentda","51":"bq dazmollari toshkentda","52":"bq namlagichlari toshkentda","53":"braun bug' generatorlari toshkentda","54":"braun dazmollari toshkentda","55":"braun elektro ustara toshkentda","56":"braun epilyatorlar toshkentda","57":"braun soch kesgich toshkentda","58":"braun trimmerlar toshkentda","59":"bug'da pishirgichlar toshkentda","60":"bug'li dazmollar toshkentda","61":"bukuvchi dazmollar toshkentda","62":"burchak silliqlash mashinasi toshkentda","63":"burun va quloq trimmerlari toshkentda","64":"chashka va krujkalar toshkentda","65":"choynak toshkentda","66":"corona dazmol taxtalari toshkentda","67":"d-sub kirishli monitorlar toshkentda","68":"dastali piyola toshkentda","69":"dazmollar blackton toshkentda","70":"dazmollash tizimi toshkentda","71":"dell noutbuk sumkalari toshkentda","72":"devor-polga o'rnatiladigan ventilyatorlar toshkentda","73":"diskli arra toshkentda","74":"dispenserlar bona toshkentda","75":"dispenserlar femas toshkentda","76":"dispenserlar selva toshkentda","77":"displayport kirishli monitorlar toshkentda","78":"dreame robot changyutgich toshkentda","79":"dreame simsiz changyutgichlar toshkentda","80":"drel va shurup buragichlar toshkentda","81":"drellar toshkentda","82":"dyson soch quritgichlarini toshkentda","83":"dyson tekislovchi dazmol toshkentda","84":"dyson toshkentda","85":"edifier toshkentda","86":"egilgan monitorlar toshkentda","87":"electrolux isitgichlar toshkentda","88":"elektr arralar toshkentda","89":"elektr choyqaynatgichlar toshkentda","90":"elektr isitgichlar toshkentda","91":"elektr lobzik toshkentda","92":"elektr radiatorli isitgich toshkentda","93":"elektr tish cho'tkasi toshkentda","94":"erkaklar uchun toshkentda","95":"filtrlar toshkentda","96":"fitnes soati toshkentda","97":"flesh xotira hoco toshkentda","98":"flesh xotira kingston toshkentda","99":"flesh xotira netac toshkentda","100":"flesh xotira sandisk toshkentda","101":"frityurlar toshkentda","102":"full hd monitorlar toshkentda","103":"g'ilof toshkentda","104":"gazer televizorlari toshkentda","105":"go'sht maydalagichlar toshkentda","106":"gorenje soch quritgichlarini toshkentda","107":"gps videoregistratorlari toshkentda","108":"gril va barbekyu toshkentda","109":"gril-tovoqlar toshkentda","110":"haier kir yuvish mashinalari toshkentda","111":"haier konditsionerlari toshkentda","112":"haier televizorlari toshkentda","113":"hansa kir yuvish mashinalari toshkentda","114":"havo tozalagichlar philips toshkentda","115":"hdmi kirishli monitorlar toshkentda","116":"himoya oynasi toshkentda","117":"hisense kir yuvish mashinalari toshkentda","118":"hisense televizorlari toshkentda","119":"honor noutbuklari toshkentda","120":"honor planshetlari toshkentda","121":"honor smartfonlari toshkentda","122":"hp noutbuklari toshkentda","123":"huawei noutbuklari toshkentda","124":"huawei planshetlar toshkentda","125":"huawei smartfonlari toshkentda","126":"huawei wi-fi routerlar toshkentda","127":"hub elektr uzaytirgich toshkentda","128":"idish yuvish mashinalari toshkentda","129":"idish yuvish mashinalari uchun toshkentda","130":"idish-tovoq to'plamlari toshkentda","131":"idishlar toshkentda","132":"infinix smartfonlari toshkentda","133":"infraqizil isitgich toshkentda","134":"integro toshkentda","135":"intex suv hovuzlari toshkentda","136":"iphone toshkentda","137":"ips matritsali monitorlar toshkentda","138":"issiqlikka chidamli idishlar toshkentda","139":"javob vaqti 1 ms monitorlar toshkentda","140":"javob vaqti 5 ms monitorlar toshkentda","141":"jbl toshkentda","142":"kapsulalar toshkentda","143":"karcher bug ' tozalagichlari toshkentda","144":"karcher changyutgichlari toshkentda","145":"karcher toshkentda","146":"kartrij va ishlatish materiallari toshkentda","147":"kastryullar toshkentda","148":"keykaplar toshkentda","149":"kfq toshkentda","150":"kir yuvish kukuni toshkentda","151":"kirlar uchun savat toshkentda","152":"kiyim quritgichlar corona toshkentda","153":"kiyim quritgichlar harbinger toshkentda","154":"kiyim quritgichlar millennium toshkentda","155":"kiyim quritgichlar nika toshkentda","156":"klaviatura va sichqoncha to'plamlari toshkentda","157":"klaviatura va sichqoncha toshkentda","158":"ko'za va grafinlar toshkentda","159":"kompyuter kolonkalari logitech toshkentda","160":"kompyuter kolonkalari microlab toshkentda","161":"kompyuter mebellari toshkentda","162":"kompyuter sichqonchalari toshkentda","163":"konteynerlar va tushlik qutilari toshkentda","164":"konvektorli isitgichlar toshkentda","165":"kronshteynlar toshkentda","166":"kuchli ventilyatorlar toshkentda","167":"lenovo monobloklari toshkentda","168":"lenovo noutbuklari toshkentda","169":"lg changyutgichlari toshkentda","170":"lg kir yuvish mashinalari toshkentda","171":"lg konditsionerlari toshkentda","172":"lg robot changyutgich toshkentda","173":"lg simsiz changyutgich toshkentda","174":"lg simsiz kolonkalar toshkentda","175":"lg televizorlari toshkentda","176":"likopcha va salat idishlari toshkentda","177":"logitech dinamiklari toshkentda","178":"logitech klaviatura toshkentda","179":"logitech rul va pedallar toshkentda","180":"masofadan boshqarish pultiga ega fanatlar toshkentda","181":"mato geli toshkentda","182":"mato kondisioneri toshkentda","183":"maxwell kiyim tozalagichini toshkentda","184":"maydalagichlar toshkentda","185":"mdv konditsioneri toshkentda","186":"mercusys wi-fi toshkentda","187":"mikrofon toshkentda","188":"mikroto'lqinli pechlar toshkentda","189":"mikserlar toshkentda","190":"millennium dazmol taxtalari toshkentda","191":"mini-pechlar toshkentda","192":"mix buragichi toshkentda","193":"monobloklar apple toshkentda","194":"monobloklar lenovo toshkentda","195":"moyli isitgich toshkentda","196":"multipishirgichlar toshkentda","197":"muzlatgichlar toshkentda","198":"muzlatish kameralari toshkentda","199":"napilnik to'plamalari toshkentda","200":"nasos toshkentda","201":"navien suv isitgichlar toshkentda","202":"neoline toshkentda","203":"neoline videoregistratorlar toshkentda","204":"nika dazmol taxtalari toshkentda","205":"nothing phone smartfonlari toshkentda","206":"noutbuk monitorlari toshkentda","207":"noutbuklar uchun sumkalar toshkentda","208":"nozulli multistaylerlari toshkentda","209":"nozulli soch kesish mashinalari toshkentda","210":"nozulli soch olish mashinalari toshkentda","211":"o'lchov asboblari toshkentda","212":"o'yin aksessuarlari toshkentda","213":"o'yin monitorlari toshkentda","214":"o'zgartiriladigan suv filtri toshkentda","215":"oppo smartfonlari toshkentda","216":"oshxona anjomlari toshkentda","217":"oshxona kombaynlari toshkentda","218":"oshxona pechkalari toshkentda","219":"oshxona servisi toshkentda","220":"oshxona tarozisi toshkentda","221":"oshxona to'plamlari toshkentda","222":"overloklar toshkentda","223":"oyna videoregistratorlari toshkentda","224":"panasonic trimmerlari toshkentda","225":"payvandlash qurulmasi toshkentda","226":"pechlar toshkentda","227":"perforator toshkentda","228":"perilla dazmol taxtalari toshkentda","229":"philips bug' generatorlari toshkentda","230":"philips changyutgichlari toshkentda","231":"philips dazmollari toshkentda","232":"philips elektr ustaralari toshkentda","233":"philips epilatorlari toshkentda","234":"philips namlagichlari toshkentda","235":"philips simsiz bug' mashinasi toshkentda","236":"philips simsiz changyutgichlar toshkentda","237":"philips soch kesish mashinasini toshkentda","238":"philips soch qisqichlari toshkentda","239":"philips soch to'g'rilovchi toshkentda","240":"philips sochlarini fen mashinasi toshkentda","241":"philips trimmerlari toshkentda","242":"philips vertikal bug' mashinasi toshkentda","243":"pichoqlar va pichoq to'plamlari toshkentda","244":"pishirish panellari toshkentda","245":"pishirish uchun qoliplar toshkentda","246":"pistonli arralar toshkentda","247":"pol ventilyatorlari toshkentda","248":"polaris multistaylerlarini toshkentda","249":"polaris namlagichlari toshkentda","250":"polaris soch kesish mashinalari toshkentda","251":"polaris soch qisqichlari toshkentda","252":"polaris tekislovchi dazmol toshkentda","253":"polaris vertikal bug' mashinasi toshkentda","254":"portativ klonkalar toshkentda","255":"premier kir yuvish mashinalari toshkentda","256":"premier konditsionerlar toshkentda","257":"printerlar toshkentda","258":"ps4 va ps5 monitorlari toshkentda","259":"puflanadigan basseynlar toshkentda","260":"qahva tayyorlash toshkentda","261":"qozonlar toshkentda","262":"quloqchinlar toshkentda","263":"quvvatlash qurilmalari toshkentda","264":"quymoq tayyorlaydigan tovalar toshkentda","265":"radio aloqa toshkentda","266":"radiotelefonlar toshkentda","267":"razer klaviaturalar toshkentda","268":"remax toshkentda","269":"remington epilatorlari toshkentda","270":"remington soch qisqichlari toshkentda","271":"remington soch quritgichlari toshkentda","272":"remington tekislovchi dazmol toshkentda","273":"rivacase noutbuk sumkalari toshkentda","274":"rowenta epilyatorlari toshkentda","275":"rowenta multistaylerlar toshkentda","276":"rowenta soch kesgich toshkentda","277":"rowenta soch qisqichlari toshkentda","278":"rowenta soch quritgichlarini toshkentda","279":"rowenta tekislovchi dazmol toshkentda","280":"rowenta trimmerlar toshkentda","281":"royal suv isitgichlar toshkentda","282":"ryukzaklar toshkentda","283":"samsung changyutgichlari toshkentda","284":"samsung kir yuvish mashinalari toshkentda","285":"samsung monitorlari toshkentda","286":"samsung planshetlar toshkentda","287":"samsung robot changyutgich toshkentda","288":"samsung smartfonlari toshkentda","289":"samsung televizorlari toshkentda","290":"sandvich tayyorlagichlar toshkentda","291":"sarayli dazmol taxtalari toshkentda","292":"sayohat dazmollari toshkentda","293":"selfi monopodlari toshkentda","294":"selva suv sovutgichilar toshkentda","295":"sencor soch qisqichlari toshkentda","296":"sharbat chiqargichlar toshkentda","297":"shivaki dazmollari toshkentda","298":"shivaki soch quritgichlarini toshkentda","299":"shivaki tarozilar toshkentda","300":"shivaki televizorlari toshkentda","301":"sichqoncha gilamchalari toshkentda","302":"silliqlash uskunalari toshkentda","303":"silverstone toshkentda","304":"simli dazmollar toshkentda","305":"simsiz changyutgichlar karcher toshkentda","306":"simsiz sichqoncha toshkentda","307":"simsiz trimmerlar toshkentda","308":"slim toshkentda","309":"smart soatlar toshkentda","310":"smart tarozi toshkentda","311":"smartfonlar uchun ushlagichlar toshkentda","312":"soch multistaylerlari toshkentda","313":"soch olish mashinalari toshkentda","314":"soch quritgich cho'tkalari toshkentda","315":"soch quritgichlari toshkentda","316":"soch tekislovchilar toshkentda","317":"soch turmaklash uchun quritgich toshkentda","318":"soch uchun dazmollar toshkentda","319":"soqol olish mashinalari toshkentda","320":"soqol olish uchun trimmerlar toshkentda","321":"sozlanish kalitlar toshkentda","322":"stakan va sharob stakanlari toshkentda","323":"suv filtri toshkentda","324":"suv qoldiqlariga qarshi vosita toshkentda","325":"suv stakanlari toshkentda","326":"tarozi polaris toshkentda","327":"tashqi qattiq disklar apacer toshkentda","328":"tashqi qattiq disklar netac toshkentda","329":"tashqi qattiq disklar seagate toshkentda","330":"taymerli ventilyatorlar toshkentda","331":"tcl televizorlari toshkentda","332":"tefal bug 'tizimlari toshkentda","333":"tefal bug' generatorlari toshkentda","334":"tefal dazmollari toshkentda","335":"tefal havo namlagichlari toshkentda","336":"tefal havo tozalagichlari toshkentda","337":"tefal robot changyutgich toshkentda","338":"tefal simsiz bug' mashinasi toshkentda","339":"tefal simsiz changyutgich toshkentda","340":"tefal tarozilar toshkentda","341":"tefal toshkentda","342":"tefal vertikal bug' mashinasi toshkentda","343":"televizor antennalari toshkentda","344":"televizor pultlari toshkentda","345":"televizor ramkalari toshkentda","346":"televizor tyunerlari toshkentda","347":"tenda wi-fi routerlar toshkentda","348":"tikuv mashina to'plamlari toshkentda","349":"tikuv mashinalari aurora toshkentda","350":"tikuv mashinalari chayka toshkentda","351":"tikuv mashinalari janome toshkentda","352":"tikuv mashinalari shunfa toshkentda","353":"tomonlari baland tovalar toshkentda","354":"tornavidalar to'plami toshkentda","355":"toshiba televizorlari toshkentda","356":"tosterlar toshkentda","357":"tovalar toshkentda","358":"tp-link wi-fi routerlar toshkentda","359":"tugmali telefonlar toshkentda","360":"tutqichli tova toshkentda","361":"tutun tortgichlar toshkentda","362":"universal ventilyatorlar toshkentda","363":"uy ventilyatorlari toshkentda","364":"va matritsali monitorlar toshkentda","365":"vafli pishirgichlar toshkentda","366":"veb kameralar toshkentda","367":"vertikal simsiz changyutgichlar toshkentda","368":"vidvie toshkentda","369":"virtual haqiqat ko'zoynaklari toshkentda","370":"vital suv sovutgichilar toshkentda","371":"vitech suv isitgichlari toshkentda","372":"vitek dazmollari toshkentda","373":"vitek namlagichlari toshkentda","374":"vitek trimmerlari toshkentda","375":"vivo smartfonlari toshkentda","376":"voltage stabilizatorlar toshkentda","377":"wi-fi router toshkentda","378":"wok-tovalar toshkentda","379":"xiaomi elektr ustara sotib toshkentda","380":"xiaomi havo namlagichlari toshkentda","381":"xiaomi isitgichlari toshkentda","382":"xiaomi massajorlar toshkentda","383":"xiaomi planshetlar toshkentda","384":"xiaomi robot changyutgich toshkentda","385":"xiaomi simsiz kolonkalar toshkentda","386":"xiaomi smartfonlari toshkentda","387":"xiaomi soch kesish mashinasi toshkentda","388":"xiaomi soch quritgichlarini toshkentda","389":"xiaomi tarozilar toshkentda","390":"xiaomi televizorlari toshkentda","391":"xiaomi wi-fi routerlar toshkentda","392":"xotira kartalari toshkentda","393":"yarim avtomat kir yuvish mashinalari toshkentda","394":"yuvish changyutgichlari toshkentda","395":"zaryadlanuvchi toshkentda","396":"znc toshkentda"}}}}]


hub_id: fanaf91318/recommendation-system-1105
license: []
language: []
config_name: default
column_names: ["image","label"]
tags:
["size_categories:10K<n<100K","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"2e_16_cbn9198bk_qora_noutbuk_sumkasi","1":"2e_17_cbn417bk_qora_noutbuk_sumkasi","2":"2e_17_cbn617bk_qora_noutbuk_sumkasi","3":"2e_kt100wb_klaviaturasi","4":"2e_mf211_wl_grey_simsiz_sichqoncha","5":"2e_mf216wb_black_sichqoncha_simsiz","6":"2e_mf240wb_qora_simsiz_sichqoncha","7":"a4tech_bloody_o'yin_klaviaturasi_b120n_black","8":"a4tech_bloody_o'yin_klaviaturasi_b820r_black","9":"a4tech_bloody_o'yin_klaviaturasi_b950_warrior_blue","10":"a4tech_bloody_o'yin_klaviaturasi_s98_aviator","11":"a4tech_bloody_o'yin_o'rindig'i_gc-350_black+red","12":"a4tech_fk10_klaviaturasi","13":"a4tech_kls-7mu_klaviaturasi","14":"a4tech_kls23mu_klaviaturasi","15":"acer_15.6''_np.bag1a.189_noutbuk_sumkasi","16":"adapter_belkin_f2cu014bt_blk_usb_micro_ethernet","17":"adapter_hoco_hb15","18":"adapter_hoco_hb16","19":"adapter_hoco_ls20_kumush","20":"adapter_hoco_ls25_digital_3.5_audio_converter_lighning_silver","21":"adapter_hoco_otg_ua10_micro-usb_a_marvarid_nikel","22":"adapter_olmio_microusb_to_usb-c_038770","23":"adapter_terminator_perehodnik_tt2rp","24":"adapter_terminator_tl35","25":"adapter_terminator_tl_15","26":"adaptor_terminator_tma32su","27":"adaptor_terminator_tma_32r","28":"adaptor_terminator_tma_610","29":"aksessuar_hdmi_4k_3m","30":"aksessuar_hoco_aux_bluetooth_receiver_e53","31":"aksessuar_hoco_aux_bluetooth_receiver_e58","32":"aksessuar_hoco_aux_bluetooth_receiver_e73","33":"aksessuar_mi_adapter_type-c_to_vga_and_ethernet","34":"aksessuar_yesido_aux_bluetooth_yau24","35":"apple_iphone_11_himoya_oynasi","36":"apple_iphone_11_pro_himoya_oynasi","37":"apple_iphone_11_pro_max_himoya_oynasi","38":"apple_iphone_11_pro_max_qoraytirilgan_himoya_oynasi","39":"apple_iphone_11_pro_qoraytirilgan_himoya_oynasi","40":"apple_iphone_11_qoraytirilgan_himoya_oynasi","41":"apple_iphone_12_himoya_oynasi","42":"apple_iphone_12_mini_himoya_oynasi","43":"apple_iphone_12_pro_himoya_oynasi","44":"apple_iphone_12_pro_max_himoya_oynasi","45":"apple_iphone_12_pro_max_qoraytirilgan_himoya_oynasi","46":"apple_iphone_12_qoraytirilgan_himoya_oynasi","47":"apple_iphone_13_himoya_oynasi","48":"apple_type-c_-_lightning_mqgj2zm","49":"aqlli_soat_haylou_smart_watch_2","50":"aqlli_soat_huawei_watch_fit_2_yoda-b09s_55028915_pushti","51":"aqlli_soat_xiaomi_mibro_color","52":"avtomobil_quvvatlash_qurilmasi_awei_c-100","53":"avtomobil_quvvatlash_qurilmasi_belkin_f8j054bt_blk_12w","54":"avtomobil_quvvatlash_qurilmasi_ldnio_c2_ip","55":"avtomobil_quvvatlash_qurilmasi_ldnio_dl-c29_type-c","56":"avtomobil_quvvatlash_qurilmasi_remax_rcc201_2usb","57":"avtomobil_quvvatlash_qurilmasi_remax_rcc321","58":"avtomobil_ushlagich_borofone_bh8","59":"avtomobil_ushlagichi_baseus_horizontal_suyl_hp01","60":"avtomobil_ushlagichi_borofone_bh36","61":"avtomobil_ushlagichi_borofone_bh48","62":"avtomobil_ushlagichi_hoco_ca91","63":"avtomobil_ushlagichi_remax_rm-c31_qizil","64":"avtomobil_ushlagichi_remax_rm-c31_qora","65":"avtomobilda_quvvatlash_qurilmasi_baseus_bs_c16c1","66":"avtomobilda_quvvatlash_qurilmasi_baseus_ccal_as01","67":"avtomobilda_quvvatlash_qurilmasi_baseus_ccall_yt0v","68":"avtomobilda_quvvatlash_qurilmasi_baseus_ccalp_01","69":"avtomobilda_quvvatlash_qurilmasi_baseus_ccjd_a0g","70":"avtomobilda_quvvatlash_qurilmasi_baseus_crdyq_01_black","71":"avtomobilda_quvvatlash_qurilmasi_baseus_tzvchx_0g_suit_30w","72":"avtomobilda_quvvatlash_qurilmasi_ldnio_c1_v8","73":"avtomobilda_quvvatlash_qurilmasi_ldnio_c2_v8","74":"avtomobilda_quvvatlash_qurilmasi_olmio_smart_ic_038718","75":"avtomobilda_quvvatlash_qurilmasi_remax_rcc215","76":"avtomobilda_ushlagich_baseus_suyl_jy01","77":"avtomobilda_ushlagich_baseus_suyl_jy0s_silver","78":"avtomobilda_ushlagich_borofone_bh11","79":"avtomobilda_ushlagich_borofone_bh19","80":"avtomobilda_ushlagich_borofone_bh28","81":"avtomobilda_ushlagich_borofone_bh43","82":"avtomobilda_ushlagich_hoco_ca79","83":"avtomobilda_ushlagich_hoco_ca96","84":"avtomobilda_ushlagichi_hoco_ca35_lite_qora","85":"avtomobilda_ushlagish_hoco_ca95","86":"awei_cl-115l_lightning_usb_kabeli","87":"awei_cl-115l_microusb_kabeli","88":"awei_cl-115l_type-c_usb_kabeli","89":"awei_cl-116l_lightning_aux_kabeli","90":"awei_cl-117t_type-c_","91":"awei_cl-125t_type-c","92":"awei_cl-69_usb_kabeli","93":"awei_cl-71t_type-c","94":"awei_x20_avtomobil_ushlagichi","95":"baseus_cammy_01_micro_usb_kabeli","96":"baseus_camys_a01_2m_micro_usb_kabeli","97":"baseus_catlsw-02_usb_kabeli","98":"baseus_catlys_a01_black_usb_kabeli","99":"baseus_catlys_a02_white_usb_kabeli","100":"baseus_catys_02_white_usb_kabeli","101":"baseus_iphone_11_qoraytirgan_himoya_oynasi","102":"baseus_m30_aux_kabeli","103":"baseus_portativ_akkumulyatori_10000mah_black_ppdml_01","104":"baseus_vchxxu_avtomobilda_quvvatlash_qurilmasi","105":"baseus_wx3in1_b01_simsiz_quvvat_olish_qurilmasi_qora","106":"baseus_wx3in1_b02_simsiz_quvvatlash_qurilmasi_oq","107":"batareya_beshr_power_max_2b_aa","108":"batareya_beshr_power_one_aa_1b","109":"batareya_beshr_power_one_c_2b","110":"batareya_beshr_power_one_d_2b","111":"batareya_duracell_alkaline_aa_2b_aa","112":"batareya_energizer_max_plus_gidroksidi_aa_bl3+1","113":"batareya_varta_long_life_aa_2b","114":"batareya_varta_longlife_max_power_aa","115":"belkin_f3u153bt_1,8m_usb_ksessuari","116":"belkin_f3y116bt2m_qora_aux_kabel","117":"belkin_usb_home_charger_1a_f8j013vf_wht_quvvatlash_qurilmasi","118":"beshr_heavy_duty_2b_aa_batareyasi","119":"bluetooth_garnitura_awei_a700bl_black","120":"bluetooth_garnitura_awei_a960bl_black","121":"bluetooth_garnitura_awei_a990bl_black","122":"bluetooth_garnitura_awei_t3_qora","123":"bluetooth_garnitura_celebrat_a4","124":"bluetooth_garnitura_celebrat_e5","125":"bluetooth_garnitura_remax_pd-be200_black","126":"bluetooth_garnitura_remax_pd-be200_white","127":"bluetooth_garnitura_remax_rb-t15_black","128":"bluetooth_garnitura_remax_rb-t15_silver","129":"bluetooth_garnitura_remax_rb-t3_kumush","130":"bluetooth_garnitura_remax_rb-t7_qora","131":"bluetooth_garnitura_remax_t8_white","132":"bluetooth_garnitura_remax_t9_black","133":"bluetooth_garnitura_xiaomi_bluetooth_neckband","134":"borofone_ba54a_quvvatlash_qurilmasi","135":"borofone_bh10_avtomobilda_ushlagich","136":"borofone_bl10_aux_kabeli","137":"borofone_bl5_aux_kabeli","138":"borofone_bx21_usb_lightning_kabeli","139":"borofone_bx37_type-c_usb_kabeli","140":"borofone_bx41_lightning_usb_kabeli","141":"borofone_bx41_magnit_micro_usb_kabeli","142":"borofone_bx41_micro_usb_kabeli","143":"borofone_bx43_lightning_usb_kabeli","144":"borofone_bx43_micro_usb_kabeli","145":"borofone_bx43_type-c_usb_kabeli","146":"borofone_bx44_type-c_to_type-c_usb_kabeli","147":"borofone_bx51_type-c_usb_kabeli","148":"borofone_bx62_type-c_","149":"borofone_bx66_type-c_usb_kabeli","150":"boshqaruv_dastagi_logitech_driving_force_shifter","151":"camelion_cr_2025_batareyasi","152":"camelion_digi_alkaline_2b_aa_batareyasi","153":"camelion_heavy_duty_9v_batareyasi","154":"camelion_super_heavy_duty_aa_batareyasi","155":"camelion_super_heavy_duty_aaa_batareyasi","156":"cougar_minos_x2_o'yin_sichqonchasi","157":"dell_kb216_klaviaturasi","158":"dell_professional_lite_case_16_460-11738_noutbuk_sumkasi","159":"dinamic_microlab_b22_rgb","160":"earldom_ec_et32_aux_kabeli","161":"ekran_himoyachisi_samsung_a33","162":"elektr_uzaytirgich_2e_u05esm1.8","163":"eramika_himoya_oynasi_samsung_a12","164":"eramika_himoya_oynasi_samsung_a72","165":"fitnas_soat_huawei_band_8_ahsoka-b19_55020anl_pushti","166":"fitnes_bilaguzuk_honor_choice_band_black","167":"fitnes_braslet_xiaomi_smart_band_8_gold","168":"fitnes_soat_amazfit_band_7","169":"fitnes_soat_g-tab_w611","170":"fitnes_soat_honor_choice_band_silver_white","171":"fitnes_soat_huawei_band_4_sakura_pink","172":"fitnes_soat_huawei_band_4e_black","173":"fitnes_soat_huawei_band_4e_pink_coral","174":"fitnes_soat_huawei_band_7_wilderness_green","175":"fitnes_soat_huawei_band_8_qora","176":"fitnes_soat_huawei_band_8_yashil","177":"fitnes_soat_samsung_galaxy_fit3_silver","178":"fitnes_soat_xiaomi_mi_band_6","179":"fitnes_soat_xiaomi_mi_band_7","180":"fitness_soat_xiaomi_band_2_black","181":"g'ilof_anti-fall_iphone_12_mini","182":"g'ilof_anti-fall_iphone_12_pro","183":"g'ilof_apple_12_ch358","184":"g'ilof_apple_12_mini_ch290","185":"g'ilof_apple_12_pro_ch290","186":"g'ilof_apple_12_pro_ch318","187":"g'ilof_apple_12_pro_ch358","188":"g'ilof_apple_12_pro_max_ch273","189":"g'ilof_apple_12_pro_max_ch290","190":"g'ilof_apple_12_pro_max_ch318","191":"g'ilof_iphone_13_pro_max_transparent","192":"g'ilof_iphone_13_pro_transparent","193":"g'ilof_iphone_13_transparent","194":"g'ilof_mi_11_lite_transparent","195":"g'ilof_samsung_a03_core_transparent","196":"g'ilof_samsung_a03_transparent","197":"g'ilof_samsung_a33_transparent","198":"g'ilof_samsung_flip_cover_fold3_ef-ff92pcbegru_black","199":"g'ilof_samsung_s21_fe_silicone_black","200":"g'ilof_samsung_silicone_cover_flip3_ef-pf711tmegru_olive_green","201":"go-des_ct056_lightning_adapteri","202":"green_iphone_13_pro_max_qoraytirilgan_himoya_oynasi","203":"hdmi_4k_5m_kabel_aksessuari","204":"himoya_oynasi_apple_iphone_13_pro","205":"himoya_oynasi_apple_iphone_13_pro_max","206":"himoya_oynasi_blade_pro_samsung_galaxy_a12","207":"himoya_oynasi_blade_pro_samsung_galaxy_a22","208":"himoya_oynasi_blade_pro_samsung_galaxy_a32","209":"himoya_oynasi_blade_pro_xiaomi_redmi_note_10","210":"himoya_oynasi_blade_pro_xiaomi_redmi_note_10_5g","211":"himoya_oynasi_blade_pro_xiaomi_redmi_poco_m3","212":"himoya_oynasi_green_iphone_12","213":"himoya_oynasi_honor_50","214":"himoya_oynasi_honor_50_lite","215":"himoya_oynasi_honor_x7","216":"himoya_oynasi_honor_x7a","217":"himoya_oynasi_honor_x8","218":"himoya_oynasi_honor_x8a","219":"himoya_oynasi_honor_x9","220":"himoya_oynasi_oppo_a15s","221":"himoya_oynasi_oppo_a16","222":"himoya_oynasi_oppo_a54","223":"himoya_oynasi_oppo_a74","224":"himoya_oynasi_oppo_a96","225":"himoya_oynasi_oppo_reno7","226":"himoya_oynasi_samsung_a03","227":"himoya_oynasi_samsung_a10","228":"himoya_oynasi_samsung_a11","229":"himoya_oynasi_samsung_a21","230":"himoya_oynasi_samsung_a31","231":"himoya_oynasi_samsung_a51","232":"himoya_oynasi_samsung_a53","233":"himoya_oynasi_samsung_galaxy_a02","234":"himoya_oynasi_samsung_galaxy_a03","235":"himoya_oynasi_samsung_galaxy_a03_core","236":"himoya_oynasi_samsung_galaxy_a03s","237":"himoya_oynasi_samsung_galaxy_a04","238":"himoya_oynasi_samsung_galaxy_a10s","239":"himoya_oynasi_samsung_galaxy_a14","240":"himoya_oynasi_samsung_galaxy_a21s","241":"himoya_oynasi_samsung_galaxy_a22","242":"himoya_oynasi_samsung_galaxy_a32","243":"himoya_oynasi_samsung_galaxy_a41","244":"himoya_oynasi_samsung_galaxy_a53","245":"himoya_oynasi_samsung_galaxy_a72","246":"himoya_oynasi_samsung_galaxy_a72_tonirovkali","247":"himoya_oynasi_samsung_galaxy_a73","248":"himoya_oynasi_samsung_galaxy_s22","249":"himoya_oynasi_samsung_galaxy_s22+","250":"himoya_oynasi_vivo_v20","251":"himoya_oynasi_vivo_v20se","252":"himoya_oynasi_vivo_v21","253":"himoya_oynasi_vivo_v21e","254":"himoya_oynasi_vivo_v23","255":"himoya_oynasi_vivo_v23e","256":"himoya_oynasi_vivo_y12s","257":"himoya_oynasi_vivo_y15s","258":"himoya_oynasi_vivo_y1s","259":"himoya_oynasi_vivo_y20","260":"himoya_oynasi_vivo_y21","261":"himoya_oynasi_vivo_y31","262":"himoya_oynasi_vivo_y33","263":"himoya_oynasi_vivo_y33s","264":"himoya_oynasi_vivo_y53s","265":"himoya_oynasi_wave_dust_proof_iphone_12","266":"himoya_oynasi_wave_dust_proof_iphone_12_pro_max","267":"himoya_oynasi_wave_samsung_galaxy_a52","268":"himoya_oynasi_wave_samsung_galaxy_a72","269":"himoya_oynasi_wave_xiaomi_mi_11_lite","270":"himoya_oynasi_wave_xiaomi_poco_f3","271":"himoya_oynasi_wave_xiaomi_poco_x3","272":"himoya_oynasi_wave_xiaomi_redmi_note_10_pro","273":"himoya_oynasi_xiaomi_12x","274":"himoya_oynasi_xiaomi_mi_11_lite","275":"himoya_oynasi_xiaomi_poco_m3","276":"himoya_oynasi_xiaomi_poco_x3","277":"himoya_oynasi_xiaomi_redmi_10","278":"himoya_oynasi_xiaomi_redmi_10_2022","279":"himoya_oynasi_xiaomi_redmi_9","280":"himoya_oynasi_xiaomi_redmi_9a","281":"himoya_oynasi_xiaomi_redmi_9t","282":"himoya_oynasi_xiaomi_redmi_note_10","283":"himoya_oynasi_xiaomi_redmi_note_11","284":"himoya_oynasi_xiaomi_redmi_note_11s","285":"himoya_oynasi_xiaomi_redmi_note_11t","286":"himoya_oynasi_xiaomi_redmi_note_9","287":"himoya_oynasi_xiaomi_redmi_note_9_oddiy","288":"himoya_oynasi_xiaomi_redmi_note_9_pro","289":"himoya_oynasi_xiaomi_redmi_note_9s","290":"himoya_oynasi_xiaomi_redmi_note_9t","291":"hoco_256_gb","292":"hoco_c88a_quvvatlash_qurilmasi","293":"hoco_n21_30w","294":"hoco_n3_18","295":"hoco_n8_quvvatlash_qurilmasi","296":"hoco_u40a_lightning_usb_kabeli","297":"hoco_u51_lightning_usb_kabeli","298":"hoco_u73_usb_kabeli","299":"hoco_u91_micro_usb_kabeli","300":"hoco_u91_type-c_usb_kabeli","301":"hoco_ua4_hdmi_adapteri_2m_qizil_aksessuari","302":"hoco_ud8_16_gb_usb_fleshka","303":"hoco_upa02_aux_kabeli","304":"hoco_upa11_aux_kabeli","305":"hoco_upa12_jack_3_5_mm_qora_aux_kabeli","306":"hoco_upa13_aux_kabeli","307":"hoco_upa14_aux_kabeli","308":"hoco_upa15_aux_kabeli","309":"hoco_upa17_aux_kabeli","310":"hoco_upa18_aux_kabeli","311":"hoco_upa19_lighting_aux_kabeli","312":"hoco_upa19_mini_jack_3_5mm_aux_kabeli","313":"hoco_upa19_type-c_aux_kabeli","314":"hoco_x13_for_lightning_usb_kabeli","315":"hoco_x13_type-c_usb_kabeli","316":"hoco_x14_lightning_2m_usb_kabeli","317":"hoco_x14_lightning_usb_kabeli","318":"hoco_x14_type-c","319":"hoco_x1_lightning_usb_kabeli","320":"hoco_x20_micro_usb_kabeli","321":"hoco_x20_type-c_usb_kabeli","322":"hoco_x20_usb_lightning_kabeli","323":"hoco_x21_lightning_qora_oq_usb_kabeli","324":"hoco_x21_miro_black_white_usb_kabeli","325":"hoco_x21_type-c_black_white_usb_kabeli","326":"hoco_x26_lightning_usb_kabeli","327":"hoco_x26_type-c_1m_usb_kabeli","328":"hoco_x27_lightning_usb_kabeli","329":"hoco_x29_micro_usb_kabeli","330":"hoco_x31_usb_lightning_usb_kabeli","331":"hoco_x33_type-c_usb_kabeli","332":"hoco_x37_micro_usb_kabeli","333":"hoco_x41_3_in_1_usb_kabeli","334":"hoco_x48_lightning_usb_kabeli","335":"hoco_x48_micro_usb_kabeli","336":"hoco_x52_lightning_usb_kabeli","337":"hoco_x52_micro_usb_kabeli","338":"hoco_x52_type-c_usb_kabeli","339":"hoco_x53_lightning_usb_kabeli","340":"hoco_x53_type-c_usb_kabeli","341":"hoco_x5_lightning_usb_kabeli","342":"hoco_x5_micro_usb_kabeli","343":"hoco_x61_lightning_usb_kabeli","344":"hoco_x61_micro_usb_kabeli","345":"hoco_x62_type-c_to_type-c_usb_kabeli","346":"hp_15.6_odyssey_sport_(5wk92aa)_ryukzaki","347":"hp_active_moviy","348":"hp_k1500_h3c52aa_black_klaviaturasi","349":"hp_klassik_ryukzak_(1fk05aa)","350":"huawei_matepad_air_plansheti_11_5_lte_8","351":"huawei_noutbuki_matebook_d16_2024_53013wxc_grey","352":"huawei_noutbuki_matebook_d16_2024_53013wxd_grey","353":"huawei_noutbuki_matebook_d_14_2024_53013xfp_grey","354":"huawei_noutbukimatebook_d14_2024_53013xfa_grey","355":"hub_trust_halyx_type-c","356":"hyperx_alloy_mkw100_o'yin_klaviaturasi","357":"hyperx_cloud_earbuds_wireless_o'yin_quloqchinlari","358":"hyperx_cloud_stinger_ii_wireless_o'yin_quloqchinlari","359":"hyperx_haste_oq","360":"hyperx_origins_full_o'yin_klaviaturasi","361":"hyperx_pulsefire_core_o'yin_sichqonchasi_pushti","362":"infinix_hot_30_5g_8","363":"iphone_11_keramik_himoya_oynasi","364":"iphone_12_keramik_himoya_oynasi","365":"iphone_12_pro_keramik_himoya_oynasi","366":"iphone_12_pro_max_keramik_himoya_oynasi","367":"iphone_14_pro_256gb_binafsha_rang","368":"iphone_14_pro_256gb_qora","369":"kabel_aux_yesido_yau36","370":"keramik_himoya_oynasi_iphone_11_pro_max","371":"keramik_himoya_oynasi_iphone_12_mini","372":"keramik_himoya_oynasi_redmi_note_9s","373":"keramika_himoya_oynasi_mi_11_lite","374":"keramika_himoya_oynasi_redmi_9a_shaffof","375":"keramika_himoya_oynasi_redmi_note_9","376":"keramika_himoya_oynasi_samsung_a01_core","377":"keramika_himoya_oynasi_samsung_a02","378":"keramika_himoya_oynasi_samsung_a02s","379":"keramika_himoya_oynasi_samsung_a03s","380":"keramika_himoya_oynasi_samsung_a10s","381":"keramika_himoya_oynasi_samsung_a11","382":"keramika_himoya_oynasi_samsung_a12_paxmoqli","383":"keramika_himoya_oynasi_samsung_a21","384":"keramika_himoya_oynasi_samsung_a22","385":"keramika_himoya_oynasi_samsung_a31","386":"keramika_himoya_oynasi_samsung_a32","387":"keramika_himoya_oynasi_samsung_a41","388":"keramika_himoya_oynasi_samsung_a51","389":"keramika_himoya_oynasi_samsung_a52","390":"keramika_himoya_oynasi_samsung_a71","391":"keramika_himoya_oynasi_vivo_y31_matt","392":"keramika_himoya_oynasi_xiaomi_poco_x3","393":"keykaplar_hyperx_pbt_keycaps_full_key_set_black","394":"keykaplar_hyperx_pbt_keycaps_full_key_set_pink","395":"keykaplar_hyperx_pbt_keycaps_full_key_set_white","396":"klaviatura_2e_ks106ub_black","397":"klaviatura_2e_ks210wb","398":"klaviatura_2e_ks220wl_black","399":"klaviatura_2e_ks220wl_oq","400":"klaviatura_a4tech_kl40","401":"klaviatura_apple_magic_ipad_11pro_2-avlod_mxqt2rs","402":"klaviatura_avtech_kbm-300_iso_9001","403":"klaviatura_logitech_k120_black","404":"klaviatura_va_sichqoncha_2e_mk404ub_black","405":"klaviatura_va_sichqoncha_2e_mk410mwb","406":"klaviatura_va_sichqoncha_a4tech_fb2535c_icy_white","407":"klaviatura_va_sichqoncha_a4tech_fb2535c_smoky_grey","408":"klaviatura_va_sichqoncha_a4tech_fg1012_white","409":"klaviatura_va_sichqoncha_a4tech_fg1112s_white","410":"klaviatura_va_sichqoncha_logitech_mk540_advanced_black","411":"klaviatura_va_sichqoncha_logitech_simsiz_mk235","412":"klaviatura_va_sichqoncha_logitech_simsiz_mk270","413":"kompyuter_karnaylari_logitech_z120_2_0_qora","414":"kompyuter_karnaylari_logitech_z200_midnight_black","415":"kompyuter_karnaylari_logitech_z213","416":"kompyuter_karnaylari_logitech_z313","417":"kompyuter_karnaylari_microlab_t8","418":"kompyuter_quloqchini_a4tech_stereo_headset_h111","419":"kondisioner_lg_b09ts","420":"kondisioner_lg_d09tt2","421":"kondisioner_lg_d12tt","422":"kondisioner_lg_p09ed","423":"kondisioner_lg_p12ed","424":"kondisioner_lg_p18ed","425":"konditsioner_lg_b12ts","426":"konditsioner_lg_b18ts","427":"lenovo_b210_gx40q17225_ryukzagi","428":"lenovo_ideapad_3_15iau7_82rk00kyrk","429":"lenovo_noutbuki_v15_g3_iap_82tt0032ru","430":"lenovo_noutbuki_v15_g3_iap_82tt0036ru","431":"lenovo_t210_gx40q17229_noutbuk_sumkasi","432":"lenovo_v15_82tt003wru","433":"logitech_g105_o'yin_klaviaturasi","434":"logitech_g203_lilac_o'yin_sichqonchasi","435":"logitech_g332_qora_o'yin_quloqchinlari","436":"logitech_g402_o'yin_sichqonchasi","437":"logitech_g432_7.1_qora_o'yin_quloqchinlari","438":"logitech_g502_o'yin_sichqonchasi","439":"logitech_g512_o'yin_klaviaturasi","440":"logitech_g613_o'yin_klaviaturasi","441":"logitech_k270_klaviaturasi","442":"logitech_k360_simsiz_klaviaturasi","443":"logitech_m171_black_simsiz_sichqoncha","444":"logitech_m185_swift_grey_simsiz_sichqoncha","445":"logitech_m330_silent_plus_simsiz_sichqoncha","446":"logitech_wireless_touch_k400_plus_simsiz_klaviaturasi","447":"merkan_kt_168","448":"mi_type-c_white_usb_kabeli","449":"mikrofon_boya_by_m1","450":"mikrofon_hyperx_procast_black","451":"mikrofon_hyperx_quadcast_s_oq","452":"mikrofon_razer_seiren_mini_quartz","453":"mitsubishi_alkaline_5_batareyasi","454":"mobil_telefon_novey_a77_champagne","455":"mobil_telefon_novey_d10_black","456":"mobil_telefon_novey_m050_black","457":"mobil_telefon_novey_m050_grey","458":"mobil_telefon_novey_n880_black","459":"mobil_telefon_novey_n880_silver","460":"mobil_telefon_novey_s70r_ko'k","461":"mobil_telefon_novey_s77_black","462":"mobil_telefon_novey_s77_grey","463":"mobil_telefon_novey_s88_black","464":"mobil_telefon_novey_s88_silver","465":"mobil_telefon_novey_t100_black","466":"mobil_telefon_novey_t200_black","467":"monitor_avtech_m200024d","468":"monitor_samsung_ls24c312eaixci","469":"monitor_samsung_ls27a700nwpxuz","470":"monitor_samsung_ls32ag550epxuz","471":"monoblok_apple_imac_21,5_mmqa2ua","472":"monoblok_atech_hasf24i34g128gb","473":"monoblok_lenovo_ideacentre_aio_3_24iil5_f0fr0083rk","474":"monoblok_lenovo_ideacentre_aio_3_24imb05_f0fr001erk","475":"monolog_lenovo_ideacentre_aio_3_27itl6_f0fw00mxru","476":"netac_1tb_k331_nt05k331n-001t-30bk_tashqi_qattiq_diski","477":"netac_32gb_u352_usb_flesh_xotira","478":"netac_32gb_u782c_usb_flesh_xotira","479":"noblok_lenovo_ideacentre_aio_3_24itl6_f0g0003prk","480":"noutbok_asus_vivobook_go_14_e1404fa-eb045","481":"noutbuk_acer_aspire_3_a315-56_nx.hs5er.02k","482":"noutbuk_acer_aspire_3_a315-59-52x6_nx.k6ter.007","483":"noutbuk_acer_aspire_3_a315-59_slim_(nx.k6ser.001)","484":"noutbuk_acer_aspire_3_a315-59_slim_(nx.k9xer.001)","485":"noutbuk_acer_aspire_3_a315-59_x.k6ser.005","486":"noutbuk_acer_aspire_5_nx.khjer.007","487":"noutbuk_acer_aspire_5_nx.khjer.00b","488":"noutbuk_acer_sf314-511_nx.abler.003","489":"noutbuk_apple_macbook_pro_13_m1_myd82ru","490":"noutbuk_asus_vivobook_15_x1504za-bq322","491":"noutbuk_asus_vivobook_90nb10j2-m00bt0","492":"noutbuk_asus_vivobook_90nb10j2-m00fd0","493":"noutbuk_asus_vivobook_go_15_e1504fa-bq210","494":"noutbuk_asus_vivobook_go_15_e1504fa-bq532","495":"noutbuk_asus_zenbook_90nb0w95-m01100","496":"noutbuk_honor_magicbook_x15_wai9_(i3","497":"noutbuk_hp_250_g10_(85c50ea)","498":"noutbuk_hp_250_g8_3v5m6ea","499":"noutbuk_hp_elitebook_1030_dragonfly_8ml06ea","500":"noutbuk_hp_elitebook_x360_1030_3zh08ea","501":"noutbuk_hp_langkawi_15s-fq3009ur_4j7h6ea","502":"noutbuk_hp_langkawi_15s-fq5003ci_6d9a4ea","503":"noutbuk_hp_langkawi_15s-fq5019ci_6d9b9ea","504":"noutbuk_hp_laptop_(7p514ea)","505":"noutbuk_hp_pavilion_(7p4d8ea)","506":"noutbuk_hp_pavilion_aero_13-be1008ci_6d7n7ea","507":"noutbuk_hp_zbook_firefly_15_g8_313r6ea","508":"noutbuk_huawei_matebook_d14_2023_53013rhl_kulrang","509":"noutbuk_huawei_matebook_d14_mdf-x_53013tcf","510":"noutbuk_huawei_matebook_d16_53013wxa_grey","511":"noutbuk_huawei_matebook_d16_53013wxe_grey","512":"noutbuk_huawei_matebook_d16_53013wxf_grey","513":"noutbuk_lenovo_ideapad_1_15igl7_82v700durk","514":"noutbuk_lenovo_ideapad_3_15iau7_82rk00l0rk","515":"noutbuk_lenovo_ideapad_s300_82x7003krk","516":"noutbuk_lenovo_thinkbook_15_20ve009aen","517":"noutbuk_lenovo_thinkbook_15_g2itl_20ve00g4ru","518":"noutbuk_lenovo_v15_g2itl_82kb00mmru","519":"noutbuk_lenovo_v15_g3_82tt00ftru","520":"noutbuk_lenovo_v15_g4_83a10097ru","521":"noutbuk_sumkasi_lenovo_t210_gx40q17230","522":"noutbuk_sumkasi_rivacase_7931_black_laptop_bag_15_6_","523":"noutbuk_sumkasi_rivacase_8731_diagonal_plus_laptop_bag_15_6__grey","524":"noutbuk_uchun_g'ilof_acer_np_bag1a_293","525":"noutbuk_uchun_ryukzak_rivacase_8461_eco_travel_laptop_backpack_17_3__black","526":"novey_m350_kids_yellow","527":"novey_s80_black","528":"o'rnatadigan_simsiz_quloqchinlar_sountec_anc_earbuds_white","529":"o'rnatiladigan_quloqchinlar_awei_es60ty","530":"o'rnatiladigan_quloqchinlar_borofone_bm54","531":"o'rnatiladigan_quloqchinlar_celebrat_g11","532":"o'rnatiladigan_quloqchinlar_jbl_jblt110wht","533":"o'rnatiladigan_simsiz_quloqchinlar_apple_airpods_pro","534":"o'rnatiladigan_simsiz_quloqchinlar_awei_a960bl_gold","535":"o'rnatiladigan_simsiz_quloqchinlar_awei_g10","536":"o'rnatiladigan_simsiz_quloqchinlar_awei_wt30","537":"o'rnatiladigan_simsiz_quloqchinlar_green_buds_3","538":"o'rnatiladigan_simsiz_quloqchinlar_hoco_es32_tillarang","539":"o'rnatiladigan_simsiz_quloqchinlar_hoco_ew04","540":"o'rnatiladigan_simsiz_quloqchinlar_hoco_s11_qora","541":"o'rnatiladigan_simsiz_quloqchinlar_hoco_s17_qora","542":"o'rnatiladigan_simsiz_quloqchinlar_honor_earbuds_2_lite","543":"o'rnatiladigan_simsiz_quloqchinlar_huawei_freebuds_5","544":"o'rnatiladigan_simsiz_quloqchinlar_huawei_freebuds_5_oq","545":"o'rnatiladigan_simsiz_quloqchinlar_huawei_freebuds_5i_oq","546":"o'rnatiladigan_simsiz_quloqchinlar_huawei_freebuds_5i_qora","547":"o'rnatiladigan_simsiz_quloqchinlar_huawei_freebuds_pro3_green","548":"o'rnatiladigan_simsiz_quloqchinlar_huawei_freebuds_pro3_silver","549":"o'rnatiladigan_simsiz_quloqchinlar_huawei_freebuds_pro_2_kulrang","550":"o'rnatiladigan_simsiz_quloqchinlar_huawei_freebuds_pro_2_oq","551":"o'rnatiladigan_simsiz_quloqchinlar_huawei_freebuds_se_oq","552":"o'rnatiladigan_simsiz_quloqchinlar_huawei_freeclip_dove-t00_black","553":"o'rnatiladigan_simsiz_quloqchinlar_huawei_freeclip_dove-t00_purple","554":"o'rnatiladigan_simsiz_quloqchinlar_jbl_t125bt_oq","555":"o'rnatiladigan_simsiz_quloqchinlar_jbl_wave_beam_black","556":"o'rnatiladigan_simsiz_quloqchinlar_jbl_wave_beam_white","557":"o'rnatiladigan_simsiz_quloqchinlar_jbl_wave_buds_qora","558":"o'rnatiladigan_simsiz_quloqchinlar_jbl_wave_buds_white","559":"o'rnatiladigan_simsiz_quloqchinlar_jbl_wave_flex_black","560":"o'rnatiladigan_simsiz_quloqchinlar_jbl_wave_flex_white","561":"o'rnatiladigan_simsiz_quloqchinlar_lg_hbs-fn4_abrubk","562":"o'rnatiladigan_simsiz_quloqchinlar_lg_hbs-fn4_abruwh","563":"o'rnatiladigan_simsiz_quloqchinlar_lg_hbs-fn6_abruwh","564":"o'rnatiladigan_simsiz_quloqchinlar_mi_earphones_2_basic","565":"o'rnatiladigan_simsiz_quloqchinlar_mi_sports_bluetooth_oq","566":"o'rnatiladigan_simsiz_quloqchinlar_olmio_bte-02_038846","567":"o'rnatiladigan_simsiz_quloqchinlar_remax_pd-bn300_oq","568":"o'rnatiladigan_simsiz_quloqchinlar_remax_pd-bn300_qora","569":"o'rnatiladigan_simsiz_quloqchinlar_remax_rb-s20_qizil","570":"o'rnatiladigan_simsiz_quloqchinlar_remax_rb-s20_yashil","571":"o'rnatiladigan_simsiz_quloqchinlar_remax_rb-s20_yellow","572":"o'rnatiladigan_simsiz_quloqchinlar_remax_s-18_black","573":"o'rnatiladigan_simsiz_quloqchinlar_remax_s-18_oq","574":"o'rnatiladigan_simsiz_quloqchinlar_remax_tws33","575":"o'rnatiladigan_simsiz_quloqchinlar_remax_tws7_white","576":"o'rnatiladigan_simsiz_quloqchinlar_remax_tws_2_qora","577":"o'rnatiladigan_simsiz_quloqchinlar_remax_tws_5_yashil","578":"o'rnatiladigan_simsiz_quloqchinlar_soundtec_wireless_earbuds_3","579":"o'rnatiladigan_simsiz_quloqchinlar_vidvie_bt806_grey","580":"o'rnatiladigan_simsiz_quloqchinlar_vidvie_bt809_black","581":"o'rnatiladigan_simsiz_quloqchinlar_vidvie_bt809_red","582":"o'rnatiladigan_simsiz_quloqchinlar_vidvie_bt812_grey","583":"o'rnatiladigan_simsiz_quloqchinlar_vidvie_bt812_silver","584":"o'rnatiladigan_simsiz_quloqchinlar_xiaomi_mi_bluetooth_headphone_youth(white)","585":"o'rnatiladigan_simsiz_quloqchinlar_xiaomi_mi_earbuds_2_basic","586":"o'rnatiladigan_simsiz_quloqchinlar_xiaomi_mi_true_wireless_earbuds_basic_2s","587":"o'rnatiladigan_simsiz_quloqchinlar_xiaomi_redmi_buds_4_lite_white","588":"o'rnatiladigan_simsiz_quloqchinlar_xo_xo_f90","589":"o'yin_klaviaturasi_2e_kg310ub","590":"o'yin_klaviaturasi_logitech_g213","591":"o'yin_klaviaturasi_logitech_g413","592":"o'yin_klaviaturasi_logitech_g915","593":"o'yin_noutbuki_lenovo_gaming_3_15ach6_82k2002grk","594":"o'yin_noutbuki_lenovo_legion_5_15ith6h_82jh009krk","595":"o'yin_quloqchinlari_hyperx_cloud_alpha","596":"o'yin_quloqchinlari_hyperx_cloud_alpha_s_blackout","597":"o'yin_quloqchinlari_hyperx_cloud_alpha_s_blue","598":"o'yin_quloqchinlari_hyperx_cloud_earbuds","599":"o'yin_quloqchinlari_hyperx_cloud_ii_gun_metal","600":"o'yin_quloqchinlari_hyperx_cloud_ii_red","601":"o'yin_quloqchinlari_hyperx_cloud_ii_wireless_7.1","602":"o'yin_quloqchinlari_logitech_g435_lightspeed_ko'k","603":"o'yin_sichqonchasi_hyperx_pulsefire_core","604":"o'yin_sichqonchasi_hyperx_pulsefire_fps_pro_rgb","605":"o'yin_sichqonchasi_hyperx_pulsefire_haste","606":"o'yin_sichqonchasi_logitech_g102_ko'k","607":"o'yin_sichqonchasi_logitech_g305_lightspeed_oq","608":"o'yin_sichqonchasi_logitech_g305_lightspeed_qora","609":"olmio_038767_magic_2_0_microusb+lightning_usb_kabeli","610":"olmio_3,5_mm_qora_038643_aux_kabeli","611":"olmio_microusb_038650_usb_kabeli","612":"olmio_smart_ic_038735_quvvatlash_qurilmasi","613":"olmio_smart_ic_038739_quvvatlash_qurilmasi","614":"optik_sichqoncha_a4tech_bt570nx","615":"optik_sichqoncha_a4tech_n100","616":"optik_sichqoncha_logitech_m100_grey","617":"optik_sichqoncha_logitech_m90_grey","618":"panasonic_cr2025_batareyasi","619":"philips_cr2025_batareyasi","620":"planshet_galaxy_tab_a9+_8","621":"planshet_honor_pad_x9_11_5_lte_4","622":"planshet_huawei_matepad_11_5__lte_6","623":"planshet_huawei_matepad_se_4","624":"planshet_huawei_matepad_se_ags5_w09_4","625":"planshet_samsung_galaxy_tab_a8_x205_dark_gray","626":"planshet_samsung_galaxy_tab_a9+_x216_4gb","627":"planshet_samsung_galaxy_tab_a9+_x216_grey","628":"planshet_samsung_galaxy_tab_a9+_x216_kulrang","629":"planshet_samsung_galaxy_tab_a9_x115_grey","630":"planshet_samsung_galaxy_tab_a9_x115_kumush_rang","631":"planshet_samsung_galaxy_tab_s8_5g_8","632":"planshet_samsung_galaxy_tab_s9+_12","633":"planshet_samsung_galaxy_tab_s9_8","634":"planshet_samsung_galaxy_tab_s9_fe+_8","635":"planshet_samsung_galaxy_tab_s9_fe_6","636":"planshet_samsung_galaxy_tab_s9_ultra_12","637":"planshet_xiaomi_pad_6_6","638":"planshet_xiaomi_pad_6_8","639":"planshet_xiaomi_pad_6s_pro_8","640":"planshet_xiaomi_redmi_pad_4","641":"planshet_xiaomi_redmi_pad_se_8","642":"qoraytirilgan_himoya_oynasi_samsung_galaxy_a32","643":"quloq_ichidagi_simsiz_minigarnituralar_samsung_buds_2_pro_light_purple","644":"quvvatlash_qurilmasi_apple_usb-c_asia_20","645":"quvvatlash_qurilmasi_apple_usb-c_euro_20","646":"quvvatlash_qurilmasi_baseus_ccall_bh01_3_4a_black","647":"quvvatlash_qurilmasi_baseus_ccall_gj01_qora","648":"quvvatlash_qurilmasi_belkin_f8m890bt04_blk_17w","649":"quvvatlash_qurilmasi_borofone_ba20_white_v8","650":"quvvatlash_qurilmasi_borofone_ba20a_black_v8","651":"quvvatlash_qurilmasi_borofone_ba21a","652":"quvvatlash_qurilmasi_borofone_ba25a_v8_black","653":"quvvatlash_qurilmasi_borofone_ba50a_lighting","654":"quvvatlash_qurilmasi_borofone_bn1_type-c","655":"quvvatlash_qurilmasi_hoco_c72q_micro_qora","656":"quvvatlash_qurilmasi_hoco_c88a_type-c","657":"quvvatlash_qurilmasi_hoco_n13_30w","658":"quvvatlash_qurilmasi_hoco_n14_20w_lighting","659":"quvvatlash_qurilmasi_hoco_n20_20w","660":"quvvatlash_qurilmasi_hoco_n9_lightning","661":"quvvatlash_qurilmasi_hoco_n9_micro","662":"quvvatlash_qurilmasi_hoco_n9_type-c","663":"quvvatlash_qurilmasi_mi_travel_adapter_original","664":"quvvatlash_qurilmasi_mi_travel_adapteri","665":"quvvatlash_qurilmasi_modem_cat_mtc001","666":"quvvatlash_qurilmasi_modem_cat_mtc004","667":"quvvatlash_qurilmasi_olmio_2usb_2_1a_038641","668":"quvvatlash_qurilmasi_olmio_usb_+_lightning_038587","669":"quvvatlash_qurilmasi_olmio_usb_1_2a_038591","670":"quvvatlash_qurilmasi_proda_pd_a28","671":"quvvatlash_qurilmasi_regrsi_ch_47_v8","672":"quvvatlash_qurilmasi_remax_rp_u114","673":"quvvatlash_qurilmasi_travel_adapteri_15w","674":"quvvatlash_qurilmasi_wk_design_wp_u84","675":"quvvatlash_qurilmasi_xiaomi_65w_type-a+_type-c","676":"quvvatlash_qurilmasi_xiaomi_mi_20w_charger_type-c","677":"quvvatlash_qurulmasi_hoco_c72q_type-c_qora","678":"radiotelefon_panasonic_kx-tg2511uam","679":"radiotelefon_panasonic_kx-tg2511uat","680":"radiotelefon_panasonic_kx-tg2512uat","681":"radiotelefon_panasonic_kx-tg6811uab","682":"radiotelefon_panasonic_kx-tg6811uam","683":"radiotelefon_panasonic_kx-tg6812uab","684":"radiotelefon_panasonic_kx-tg6821uab","685":"ratsiya_hytera_tf415","686":"ratsiya_motorola_talkabout_t82","687":"razer_basilisk_v2_usb_rgb_qora_o'yin_sichqonchasi","688":"razer_blackwidow_v3_green_o'yin_klaviaturasi","689":"razer_blackwidow_v3_mini_hyperspeed_green_o'yin_klaviaturasi","690":"razer_blackwidow_v3_tenkeyless_o'yin_klaviaturasi","691":"razer_blackwidow_v3_yellow_o'yin_klaviaturasi","692":"razer_cynosa_lite_o'yin_klaviaturasi","693":"razer_cynosa_rz03_02740600_r3m1_klaviaturasi","694":"razer_gigantus_v2_3xl","695":"razer_huntsman_v2_analog_o'yin_klaviaturasi","696":"razer_naga_pro_o'yin_sichqonchasi","697":"razer_orochi_v2_o'yin_sichqonchasi","698":"razer_viper_8khz_usb_rgb_qora_o'yin_sichqonchasi","699":"redmi_9_keramik_himoya_oynasi","700":"remax_fast_rc129_usb_kabeli","701":"remax_pd_b15_iphone_usb_kabeli","702":"remax_rb_750hb","703":"remax_rc-043m_micro_usb_kabeli","704":"remax_rc-044a_white_usb_kabeli","705":"remax_rc-044m_lightning_usb_kabeli","706":"remax_rc-129i_micro_usb_usb_kabeli","707":"remax_rc044_type-c_usb_kabeli","708":"remax_rc154_lightning_kabeli","709":"remax_rcc107_avtomobilda_quvvatlash_qurilmasi","710":"remax_rcc231_avtomobilda_quvvatlash_qurilmasi","711":"router_tp-link_tl-wr802n","712":"rul_va_pedal_logitech_g923","713":"ryukzak_2e_16_bpn9166nv_ko'k","714":"ryukzak_2e_16_bpn9366bk_qora","715":"ryukzak_2e_16_slant_bpn9086gb_klurang-qora","716":"ryukzak_acer_urban_15.6_abg110_gp.bag11.018","717":"ryukzak_canyon_cns-csz03dgn01_to'q_ko'k","718":"ryukzak_canyon_cns-csz03yw01_sariq","719":"ryukzak_dell_gaming_lite_backpack_17_gm1720pe","720":"ryukzak_dell_pro_slim_backpack_15","721":"ryukzak_hp_15.6_commuter_backpack_5ee91aa","722":"ryukzak_lenovo_15.6_b515_black-row_gx40q75215","723":"ryukzak_lenovo_15.6_backpack_b515_blue-row_gx40q75216","724":"ryukzak_lenovo_b210_gx40q17227","725":"ryukzak_lenovo_ideapad_gaming_15.6-inch_backpack_gx40z24050","726":"ryukzak_mi_city_sling_bag_ch_kulrang","727":"ryukzak_rivacase_erebus_5431_kulrang","728":"ryukzak_rivacase_komodo_8065_qora","729":"ryukzak_rivacase_prater_7562_qora","730":"ryukzak_rivacase_regent_8067_qora","731":"ryukzak_rivacase_regent_8069_qora","732":"ryukzak_xiaomi_mi_commuter_backpack_moviy","733":"ryuzak_hp_17.3_renew_business_3e2u5aa","734":"samsung_25_ep-t2510nbergu_quvvatlash_qurilmasi","735":"samsung_25_ep-t2510nwegru_quvvatlash_qurilmasi","736":"samsung_galaxy_a33_ekran_himoyachisi","737":"samsung_galaxy_s24+_12","738":"sandisk_microsd_256gb_class_10_ultra","739":"sandisk_microsd_32gb_class_10_ultra_xotira_kartasi","740":"sandisk_microsd_64gb_class_10_ultra_xotira_kartasi","741":"sichqoncha_simsiz_2e_mf214_wl_silent_black","742":"simli_klaviatura_a4tech_fx60h","743":"simsiz_klaviatura_2e_ks230_slim_wl_black","744":"simsiz_klaviatura_a4tech_fbx50c","745":"simsiz_o'rnatiladigan_quloqchin_porodo_wireles_earbuds_black","746":"simsiz_o'rnatiladigan_quloqchinlar_apple_airpods_3","747":"simsiz_o'rnatiladigan_quloqchinlar_baseus_encok_ngw07_02_oq","748":"simsiz_o'rnatiladigan_quloqchinlar_borofone_be38","749":"simsiz_o'rnatiladigan_quloqchinlar_copy_airpods_pro_lux","750":"simsiz_o'rnatiladigan_quloqchinlar_hoco_es36_oq","751":"simsiz_o'rnatiladigan_quloqchinlar_inkax_earbuds_3","752":"simsiz_o'rnatiladigan_quloqchinlar_olmio_bte-03_038847","753":"simsiz_o'rnatiladigan_quloqchinlar_samsung_buds_2_black","754":"simsiz_o'rnatiladigan_quloqchinlar_xiaomi_redmi_buds_3","755":"simsiz_o'rnatiladigan_quloqchinlar_xiaomi_redmi_buds_3_lite","756":"simsiz_o'rnatiladigan_quloqchinlar_xiaomi_redmi_buds_4","757":"simsiz_o'rnatiladigan_quloqchinlar_xiaomi_redmi_buds_4_lite_qora","758":"simsiz_quloqchin_porodo_wireles_earbuds_white","759":"simsiz_quloqchin_samsung_buds_fe_kulrang","760":"simsiz_quloqchinlar_(qora)_jbl_tune_520_bt_black","761":"simsiz_quloqchinlar_green_earbuds","762":"simsiz_quloqchinlar_green_earbuds_3","763":"simsiz_quloqchinlar_huawei_freebuds_se_2_oq","764":"simsiz_quloqchinlar_inkax_earbuds","765":"simsiz_quloqchinlar_jbl_t125bt_black","766":"simsiz_quloqchinlar_porodo_wireles_earbudss_pro_white","767":"simsiz_quloqchinlar_proda_pd_be102","768":"simsiz_quloqchinlar_samsung_buds_2_pro","769":"simsiz_quloqchinlar_samsung_buds_2_white","770":"simsiz_quloqchinlar_samsung_buds_fe_oq","771":"simsiz_quloqchinlar_soundtec_wireless_earbuds","772":"simsiz_quloqchinlar_sountec_anc_earbuds_black","773":"simsiz_quloqchinlar_wiwu_airbuds_pro","774":"simsiz_quloqchinlar_yesido_bt10","775":"simsiz_quloqchinlar_yison_b3","776":"simsiz_quloqchinlar_yison_h3","777":"simsiz_quvvat_oluvchi_hoco_ca48_avtomobil_ushlagichi","778":"simsiz_quvvatlash_qurilmasi_baseus_18w_wxjk_02_white","779":"simsiz_quvvatlash_qurilmasi_borofone_bq16_15w","780":"simsiz_quvvatlash_qurilmasi_hoco_cw33_3in1_15w","781":"simsiz_quvvatlash_qurilmasi_hoco_cw_21","782":"simsiz_quvvatlash_qurilmasi_remax_rp_w23_20w","783":"simsiz_sichqoncha_2e_mf2010_rechargeable_qora","784":"simsiz_sichqoncha_2e_mf290_black","785":"simsiz_sichqoncha_acer_omr030_wl_black","786":"simsiz_sichqoncha_acer_omr040_wl_qora","787":"simsiz_sichqoncha_logitech_m170_kulrang","788":"simsiz_sichqoncha_logitech_m190_charcoal","789":"simsiz_sichqoncha_logitech_m220_silent_charcoal_ofl","790":"simsiz_sichqoncha_logitech_m535_grey","791":"simsiz_sichqoncha_logitech_m650_l_graphite","792":"simsiz_tp-link_archer_t2u_ac600_usb-adapter","793":"simsiz_tp-link_tl-wn722n_usb-adapter","794":"simsiz_usb_tenda_u9_adapteri","795":"simsiz_yostiqchali_quloqchinlar_jbl_jr_460_nc_blue","796":"simsiz_yostiqchali_quloqchinlar_proda_pd_bh400","797":"simsiz_yostiqchali_quloqchinlar_proda_pd_bh500","798":"simsiz_yostiqchali_quloqchinlar_remax_rb-620hb","799":"simsiz_yostiqchali_quloqchinlar_remax_rb-700hb","800":"simsiz_yostiqchali_quloqchinlar_vidvie_bt814_white","801":"simsiz_yostiqchali_quloqchinlar_wekome_m8_black","802":"simsiz_yostiqchali_quloqchinlar_yesido_ep01","803":"simsiz_yostiqchali_quloqchinlar_yesido_ep03","804":"simsiz_yostiqchali_quloqchinlar_yison_b4","805":"simsiz_yostiqchali_quloqchinlar_yison_h3_blue","806":"smart_pol_tarozilari_mi_body_composition_smart_scale_white_2","807":"smart_pol_tarozilari_mi_smart_scale_white_2","808":"smart_soat_amazfit_bip_red","809":"smart_soat_amazfit_bip_u_black","810":"smart_soat_amazfit_bip_white_cloud","811":"smart_soat_amazfit_pace_red","812":"smart_soat_apple_series_6_40mm_blue_aluminum","813":"smart_soat_honor_band_6_black","814":"smart_soat_mi_watch_lite_black","815":"smart_soat_samsung_galaxy_watch_4_40_mm_black","816":"smart_soat_samsung_galaxy_watch_4_40_mm_kumush","817":"smart_soat_samsung_galaxy_watch_4_44_mm_black","818":"smart_soat_samsung_galaxy_watch_4_classic_42_mm_qora","819":"smart_soat_samsung_galaxy_watch_4_classic_46_mm_black","820":"smart_soat_samsung_galaxy_watch_4_classic_46_mm_umush","821":"smart_soat_samsung_galaxy_watch_5_44mm_graphite","822":"smart_soat_samsung_galaxy_watch_5_pro_45mm_black_titanium","823":"smart_soat_xiaomi_mibro_air_smart_watch_silver","824":"smart_soat_xiaomi_mibro_watch_x1","825":"smartaon_huawei_nova_y72_8","826":"smartfon_apple_iphone_14_pro_max_128gb_qora","827":"smartfon_apple_iphone_14_pro_max_256gb_qora","828":"smartfon_apple_iphone_15_128_gb_qora","829":"smartfon_apple_iphone_15_256_gb_yashil","830":"smartfon_apple_iphone_15_pro_128gb_blue_titanium","831":"smartfon_apple_iphone_15_pro_128gb_natural_titanium","832":"smartfon_apple_iphone_15_pro_max_256gb_blue_titanium","833":"smartfon_apple_iphone_15_pro_max_256gb_natural_titanium","834":"smartfon_honor_200_lite_8","835":"smartfon_honor_90_12","836":"smartfon_honor_90_lite_8","837":"smartfon_honor_x6a_4","838":"smartfon_honor_x7b_8","839":"smartfon_honor_x8a_6","840":"smartfon_honor_x8b_8","841":"smartfon_honor_x9a_6","842":"smartfon_honor_x9a_8","843":"smartfon_honor_x9b_12","844":"smartfon_honor_x9b_8","845":"smartfon_huawei_nova_10_8","846":"smartfon_huawei_nova_10_se_8","847":"smartfon_huawei_nova_11_8","848":"smartfon_huawei_nova_11i_8","849":"smartfon_huawei_nova_12i_8","850":"smartfon_huawei_nova_12s_8","851":"smartfon_huawei_nova_12se_8","852":"smartfon_huawei_nova_y61_4","853":"smartfon_huawei_nova_y61_6","854":"smartfon_huawei_nova_y70_4","855":"smartfon_huawei_nova_y72_8","856":"smartfon_huawei_nova_y91_8","857":"smartfon_infinix_hot_30_play_8","858":"smartfon_infinix_hot_30i_4","859":"smartfon_infinix_hot_40_8","860":"smartfon_infinix_hot_40i_4","861":"smartfon_infinix_hot_40i_8","862":"smartfon_infinix_note_30_8","863":"smartfon_infinix_note_30_pro_8","864":"smartfon_infinix_note_40_8","865":"smartfon_infinix_note_40_pro_12","866":"smartfon_infinix_smart_8_3","867":"smartfon_infinix_smart_8_4","868":"smartfon_infinix_smart_8_pro_4","869":"smartfon_infinix_zero_30_8","870":"smartfon_nothing_phone_2_12","871":"smartfon_oppo_57s_4","872":"smartfon_oppo_a17_4","873":"smartfon_oppo_a17k_3","874":"smartfon_oppo_a38_4","875":"smartfon_oppo_a55_4","876":"smartfon_oppo_a58_8","877":"smartfon_oppo_a77s_8","878":"smartfon_oppo_reno7_8","879":"smartfon_oppo_reno_11f_5g_8","880":"smartfon_oppo_reno_8t_5g_8","881":"smartfon_oppo_reno_8t_8","882":"smartfon_samsung_galaxy_a04_3","883":"smartfon_samsung_galaxy_a04s_3","884":"smartfon_samsung_galaxy_a04s_4","885":"smartfon_samsung_galaxy_a05_4","886":"smartfon_samsung_galaxy_a05s_4","887":"smartfon_samsung_galaxy_a14_4","888":"smartfon_samsung_galaxy_a15_6","889":"smartfon_samsung_galaxy_a15_8","890":"smartfon_samsung_galaxy_a24_6","891":"smartfon_samsung_galaxy_a25_5g_6","892":"smartfon_samsung_galaxy_a34_8","893":"smartfon_samsung_galaxy_a35_5g_8","894":"smartfon_samsung_galaxy_a55_5g_8","895":"smartfon_samsung_galaxy_s22+_8","896":"smartfon_samsung_galaxy_s22_8","897":"smartfon_samsung_galaxy_s23+_8","898":"smartfon_samsung_galaxy_s23_8","899":"smartfon_samsung_galaxy_s23_fe_8","900":"smartfon_samsung_galaxy_s24+_12","901":"smartfon_samsung_galaxy_s24_8","902":"smartfon_samsung_galaxy_s24_ultra_12","903":"smartfon_samsung_galaxy_s24_ultra_12gb","904":"smartfon_samsung_galaxy_z_flip_4_8","905":"smartfon_samsung_galaxy_z_fold_3_12","906":"smartfon_samsung_galaxy_z_fold_4_12","907":"smartfon_vivo_v27_12","908":"smartfon_vivo_v27e_8","909":"smartfon_vivo_v29_12","910":"smartfon_vivo_v29e_5g_8","911":"smartfon_vivo_v30_12","912":"smartfon_vivo_v30e_8","913":"smartfon_vivo_x100_16","914":"smartfon_vivo_y02_2","915":"smartfon_vivo_y02a_3","916":"smartfon_vivo_y02t_4","917":"smartfon_vivo_y03_4","918":"smartfon_vivo_y100_8","919":"smartfon_vivo_y16_3","920":"smartfon_vivo_y17s_4","921":"smartfon_vivo_y17s_6","922":"smartfon_vivo_y27_6","923":"smartfon_vivo_y27s_8","924":"smartfon_vivo_y28_8","925":"smartfon_vivo_y35_4","926":"smartfon_vivo_y36_8","927":"smartfon_xiaomi_14_ultra_16","928":"smartfon_xiaomi_mi_13_lite_8","929":"smartfon_xiaomi_mi_13t_8","930":"smartfon_xiaomi_poco_c40_3","931":"smartfon_xiaomi_redmi_12_8","932":"smartfon_xiaomi_redmi_13c_8","933":"smartfon_xiaomi_redmi_a3_4","934":"smartfon_xiaomi_redmi_note_12_4","935":"smartfon_xiaomi_redmi_note_12s_8","936":"smartfon_xiaomi_redmi_note_13_8","937":"smartfon_xiaomi_redmi_note_13_pro+_5g_12","938":"smartfon_xiaomi_redmi_note_13_pro+_5g_8","939":"smartfon_xiaomi_redmi_note_13_pro_12","940":"smartfon_xiaomi_redmi_note_13_pro_8","941":"smartrfon_vivo_y03_4","942":"smartrfon_vivo_y27s_8","943":"smartrfon_xiaomi_mi_13_12","944":"smatfon_vivo_y16_3","945":"smratfon_oppo_a78_8","946":"sony_playstation_cuhzvr2_vr_ko'zoynaklar","947":"stabilizator_slim_ukm2000","948":"stabilizator_voltage_sdr-2000_oq","949":"stabilizator_voltage_sdr-2000_qora","950":"stabilizator_voltage_sdr-3000_oq","951":"stabilizator_voltage_sdr-3000_qora","952":"tarmoq_filtri_avtech_es_3.0m_5","953":"tarmoq_filtri_avtech_es_5.0m_5","954":"tarmoq_filtri_brennenstuhl_primera_line_qora_(1509669)","955":"tashqi_akkumulyator_baseus_ppdml_j02_20000_ma","956":"tashqi_akkumulyator_borofone_bj3a_20000mah","957":"tashqi_akkumulyator_hoco_j50_10000_ma","958":"tashqi_akkumulyator_hoco_j68_10000mah","959":"tashqi_akkumulyator_hoco_j75_10000_ma","960":"tashqi_akkumulyator_mi_plm13zm_10000ma","961":"tashqi_akkumulyator_proda_pd_p67_10000ma","962":"tashqi_akkumulyator_proda_pd_p70_20000ma","963":"tashqi_batareya_hoco_j52_10000_ma","964":"tashqi_batareya_mi_plm13zm_10000_ma","965":"tashqi_batareya_olmio_2_1a_10000_ma","966":"tashqi_batareya_proda_pd_p67_10000ma","967":"tashqi_batareya_remax_10000_ma","968":"tashqi_batareya_remax_rpp_167_30000ma","969":"tashqi_qattiq_disk_netac_2tb_k331_nt05k330n-002t-30sl","970":"tashqi_qattiq_disk_seagate_1tb_srd0nf1","971":"televisor_gazer_tv55_us2_smart","972":"televizior_toshiba_43c350le_smart","973":"televizor_artel_a32kh5000","974":"televizor_artel_a32kh5500_smart","975":"televizor_artel_a43kf5000","976":"televizor_artel_a43kf5500_smart","977":"televizor_artel_ua43h3502_smart","978":"televizor_artel_ua50h3301","979":"televizor_gazer_tv32_hs2_smart","980":"televizor_gazer_tv43_fs2_smart","981":"televizor_gazer_tv43_us2_smart","982":"televizor_hisense_32a4k_smart","983":"televizor_hisense_40a4k_smart","984":"televizor_hisense_43a5730fa_smart","985":"televizor_hisense_43a6k_smart","986":"televizor_hisense_50a6k_smart","987":"televizor_hisense_55a6k_smart","988":"televizor_hisense_65a6k_smart","989":"televizor_hisense_70a6k_smart","990":"televizor_premier_32prm700s_smart","991":"televizor_premier_43prm700s_smart","992":"televizor_premier_43prm840usv_smart","993":"televizor_premier_50prm750usv_smart","994":"televizor_samsung_ue32t4500_smart","995":"televizor_samsung_ue43au8000_smart","996":"televizor_samsung_ue43bu8500uxce_smart","997":"televizor_samsung_ue43cu7100uxuz_smart","998":"televizor_samsung_ue43cu8500uxuz_smart","999":"televizor_samsung_ue43t5300auxce_smart","1000":"televizor_samsung_ue50au7500_smart","1001":"televizor_samsung_ue50au8000_smart","1002":"televizor_samsung_ue50au9000_smart","1003":"televizor_samsung_ue50bu8000_smart","1004":"televizor_samsung_ue50bu8500uxce_smart","1005":"televizor_samsung_ue50cu8500uxuz_smart","1006":"televizor_samsung_ue55au7500_smart","1007":"televizor_samsung_ue55bu8000u_smart","1008":"televizor_samsung_ue55bu8500_smart","1009":"televizor_samsung_ue55cu8500uxuz_smart","1010":"televizor_samsung_ue65cu8500uxuz_smart","1011":"televizor_samsung_ue75cu8500uxuz_smart","1012":"televizor_shivaki_us50h3303","1013":"televizor_tcl_50c635_smart","1014":"televizor_tcl_50p635_smart","1015":"televizor_tcl_50p735_smart","1016":"televizor_tcl_55p735_smart","1017":"televizor_tcl_65p735_smart","1018":"televizor_toshiba_32v35me_smart","1019":"televizor_xiaomi_mi_tv_p1_50","1020":"tripod_lovely_stream_led_halqali_chiroq_2m","1021":"tripod_selfi_mj33_led","1022":"tripod_selfi_mj36_led","1023":"trust_zaya_23809_simsiz_sichqoncha","1024":"tugmali_telefon_novey_a11_qora","1025":"tugmali_telefon_novey_m113_black","1026":"tugmali_telefon_novey_senat_sg1_gsm_qora","1027":"tugmali_telefon_novey_t240i_ko'k","1028":"tugmali_telefon_novey_t240i_qora","1029":"ups_avt_650_avr_ea265","1030":"usb_awei_cl-125_type-c_to_lighting","1031":"usb_awei_cl-125_type-c_to_type-c","1032":"usb_borofone_bx42_lighting","1033":"usb_borofone_bx62_type-c_to_lighting","1034":"usb_borofone_bx80_type-c_to_type-c","1035":"usb_borofone_bx84_type-c_to_type-c","1036":"usb_flesh-disk_kingston_dt20_32gb","1037":"usb_flesh-disk_kingston_dt70","1038":"usb_flesh-disk_kingston_dtkn_32gb","1039":"usb_flesh-disk_kingston_dtse9h","1040":"usb_flesh-disk_lexar_64gb_usb_2_0","1041":"usb_flesh_disk_sandisk_sddd3_128gb","1042":"usb_flesh_hotira_kingston_dtduo3c","1043":"usb_flesh_hotira_kingston_dtmc3","1044":"usb_flesh_xotira_kingston_dt70","1045":"usb_flesh_xotira_sandisk_sdcz51_32gb","1046":"usb_hoco_x50_type-c_to_type-c","1047":"usb_kabel_awei_cl-138t_type-c_to_type-c","1048":"usb_kabel_hoco_bx41_type-c","1049":"usb_kabel_hoco_x33_micro","1050":"veb-kamera_logitech_hd_pro_webcam_c920","1051":"veb-kamera_logitech_hd_webcam_c270","1052":"veb-kamera_razer_kiyo","1053":"veb-kamera_razer_kiyo_pro","1054":"vidvie_al1106_black_aux_kabel","1055":"vidvie_cb401_lightning_white_usb_kabeli","1056":"vidvie_cb403_micro_usb_white_usb_kabeli","1057":"vidvie_cb420_silver_usb_kabeli","1058":"wekome_wdc-092i_lighthing_usb_kabeli","1059":"wekome_wdc-092i_usb_kabeli_qora","1060":"wi-fi_router_tenda_ac5","1061":"wi-fi_router_tenda_f9","1062":"wi-fi_router_tp-link_archer_c20","1063":"wi-fi_router_tp-link_archer_c24","1064":"wi-fi_router_tp-link_archer_c50","1065":"wi-fi_router_tp-link_archer_c54","1066":"wi-fi_router_tp-link_archer_c60","1067":"wi-fi_router_tp-link_archer_c6u","1068":"wi-fi_router_tp-link_m5350","1069":"wi-fi_router_tp-link_td-w8901n","1070":"wi-fi_router_tp-link_td-w8960n","1071":"wi-fi_router_tp-link_td-w9960","1072":"wi-fi_router_tp-link_tl-wa801nd","1073":"wi-fi_router_tp-link_tl-wr842n","1074":"wi-fi_router_tp-link_tl-wr940n","1075":"wifi_router_xiaomi_mi_4a_gigabit","1076":"xiaomi_band_1s_pulse_fitnes_soati","1077":"xiaomi_mi_band_7_pro_black","1078":"xiaomi_mi_commuter_backpack_dark_gray","1079":"xiaomi_mibro_air_smart_watch_black_aqlli_soati","1080":"xiaomi_mibro_lite_aqlli_soati","1081":"xiaomi_redmi_9c_keramik_himoya_oynasi","1082":"xiaomi_redmi_9t_m3_keramik_himoya_oynasi","1083":"xiaomi_redmi_buds_3_lite_oq_simsiz_o'rnatiladigan_quloqchinlar","1084":"xiaomi_redmi_note_10_keramik_himoya_oynasi","1085":"xiaomi_redmi_note_9t_keramik_himoya_oynasi","1086":"xiaomi_sjx02zm_micro","1087":"xiaomi_tashqi_akkumulyatori_mi_action_camera_4k_uchun","1088":"xiaomi_zmi_zsh02_type_c_(100_sm)_usb_kabeli","1089":"xotira_kartasi_hoco_128_gb","1090":"xotira_kartasi_hoco_32_gb","1091":"xotira_kartasi_hoco_64_gb","1092":"xotira_kartasi_netac_32gb_c10_nt02p500stn-032g-r","1093":"xotira_kartasi_sandisk_microsd_128_gb_class_10_ultra","1094":"yesido_yau14_aux_kabeli","1095":"yesido_yau20_type-c_aux_kabeli","1096":"yesido_yau30_aux_kabeli","1097":"yostiqchali_quloqchinlar_hoco_gaming_w102","1098":"yostiqchali_quloqchinlar_jbl_quantum_100_black","1099":"yostiqchali_quloqchinlar_jbl_quantum_300_black","1100":"yostiqchali_quloqchinlar_logitech_h340","1101":"yostiqchali_quloqchinlar_logitech_h540","1102":"yostiqchali_quloqchinlar_remax_rm-100h_jigarrang","1103":"yostiqchali_quloqchinlar_remax_rm-910_oq"}}}}]


hub_id: Howard881010/financial-summary-5days
license: []
language: []
config_name: default
column_names: ["input","output","instruction","__index_level_0__"]
features:
[{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: Howard881010/financial-numerical-5days
license: []
language: []
config_name: default
column_names: ["input","output","instruction","fut_values","hist_values","__index_level_0__"]
features:
[{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"fut_values","dtype":"string"},{"name":"hist_values","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: timpearce/translation-test-dataset-french
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["question","answer","detected_language","detected_language_confidence","translation_question","translation_answer"]

features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"detected_language","dtype":"string"},{"name":"detected_language_confidence","dtype":"float64"},{"name":"translation_question","dtype":"string"},{"name":"translation_answer","dtype":"string"}]


hub_id: yuufong/setfit_ds
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["text","label"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"Business & Finance","1":"Computers & Internet","2":"Education & Reference","3":"Entertainment & Music","4":"Family & Relationships","5":"Medical Domain","6":"Politics & Government","7":"Society & Culture","8":"Sports"}}}}]


hub_id: yuufong/vietmed_ner_v5
license: []
language: []
config_name: default
column_names: ["words","tags","labels"]
features:
[{"name":"words","sequence":"string"},{"name":"tags","sequence":{"class_label":{"names":{"0":"I-ORGAN","1":"B-PREVENTIVEMED","2":"B-DISEASESYMTOM","3":"B-FOODDRINK","4":"B-ORGANIZATION","5":"B-OCCUPATION","6":"B-DRUGCHEMICAL","7":"I-FOODDRINK","8":"I-DISEASESYMTOM","9":"I-UNITCALIBRATOR","10":"I-DATETIME","11":"I-DIAGNOSTICS","12":"B-TRANSPORTATION","13":"B-GENDER","14":"B-AGE","15":"B-DATETIME","16":"B-LOCATION","17":"B-TREATMENT","18":"I-DRUGCHEMICAL","19":"I-PREVENTIVEMED","20":"I-TREATMENT","21":"I-ORGANIZATION","22":"0","23":"B-UNITCALIBRATOR","24":"B-MEDDEVICETECHNIQUE","25":"I-OCCUPATION","26":"B-PERSONALCARE","27":"I-PERSONALCARE","28":"I-GENDER","29":"I-SURGERY","30":"I-AGE","31":"I-LOCATION","32":"B-DIAGNOSTICS","33":"I-MEDDEVICETECHNIQUE","34":"B-ORGAN","35":"B-SURGERY","36":"I-TRANSPORTATION"}}}},{"name":"labels","sequence":"string"}]


hub_id: yuufong/vietmed_asr_v3
license: []
language: []
config_name: default
column_names: ["hyp","id","gt","onehot_gt"]
features:
[{"name":"hyp","sequence":"string"},{"name":"id","dtype":"string"},{"name":"gt","sequence":"string"},{"name":"onehot_gt","sequence":"string"}]


hub_id: sia-vlm/segmentation-SpaceNet4
tags: ["parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["polygons","filename","labels"]
features:
[{"name":"polygons","dtype":"null"},{"name":"filename","dtype":"null"},{"name":"labels","dtype":"null"}]


hub_id: saulgarciahuertes/orpo_ie_dataset
license: []
language: []
config_name: default
column_names: ["context","chosen","rejected","prompt","question"]
features:
[{"name":"context","dtype":"string"},{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"prompt","dtype":"string"},{"name":"question","dtype":"string"}]


hub_id: procit002/testStreetsDatasetNormalized_pos_chunk_ner_added
license: []
language: []
config_name: default
column_names: ["id","tokens","pos_tags","chunk_tags","ner_tags"]
features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"pos_tags","sequence":"int64"},{"name":"chunk_tags","sequence":"int64"},{"name":"ner_tags","sequence":"int64"}]


hub_id: HODACHI/izumi-inst
license: []
language: []
config_name: default
column_names: ["context","instruction","response"]
features:
[{"name":"context","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"response","dtype":"string"}]


hub_id: HODACHI/japanese-crawl-null-80per-sppo
license: []
language: []
config_name: default
column_names: ["context","instruction","response","prompt"]
features:
[{"name":"context","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"response","dtype":"string"},{"name":"prompt","dtype":"string"}]


hub_id: FarmerlineML/dagbani_dataset
license: []
language: []
config_name: default
column_names: ["transcription","audio"]
tags:
["size_categories:1K<n<10K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"transcription","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}}]


hub_id: manna-ai/SWE-bench_Lite_Random
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["repo","instance_id","base_commit","patch","test_patch","problem_statement","hints_text","created_at","version","FAIL_TO_PASS","PASS_TO_PASS","environment_setup_commit"]

features:
[{"name":"repo","dtype":"string"},{"name":"instance_id","dtype":"string"},{"name":"base_commit","dtype":"string"},{"name":"patch","dtype":"string"},{"name":"test_patch","dtype":"string"},{"name":"problem_statement","dtype":"string"},{"name":"hints_text","dtype":"string"},{"name":"created_at","dtype":"string"},{"name":"version","dtype":"string"},{"name":"FAIL_TO_PASS","dtype":"string"},{"name":"PASS_TO_PASS","dtype":"string"},{"name":"environment_setup_commit","dtype":"string"}]


hub_id: minhthong/rawdatapool
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["time","open","high","low","close","volume"]
features:
[{"name":"time","dtype":"timestamp[ns]"},{"name":"open","dtype":"float64"},{"name":"high","dtype":"float64"},{"name":"low","dtype":"float64"},{"name":"close","dtype":"float64"},{"name":"volume","dtype":"int64"}]


hub_id: krishnjatav/biz4group_data
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["<s>[INST] tell me everything about Biz4Group LLC company? [/INST] Biz4Group LLC is US-based software engineering company that aims to help businesses leverage cutting-edge technologies including AI and IoT. Mr. Sanjeev Verma is encouraged CEO with expertise in Artificial Intelligence domain and deliverd 300+ project with 150 experienced employees. </s><s>[INST] How to I reach the HR of Biz4Group? [/INST] You can contact this company via Email: hr@biz4group.com or visit LinkedIn:https://www.linkedin.com/company/biz4group/</s><s>[INST] List out the project delivered by the Biz4Group?[/INS] There are following projects succesfully delivered by Biz4Group. 1. Valinor  2. NextLPC  3.Dr.HR  4.Lazyfy  5.Spectrum9  6.AMxTD  for more details visit portflio: https://www.biz4group.com/portfolio </s>"]

features:
[{"name":"<s>[INST] tell me everything about Biz4Group LLC company? [/INST] Biz4Group LLC is US-based software engineering company that aims to help businesses leverage cutting-edge technologies including AI and IoT. Mr. Sanjeev Verma is encouraged CEO with expertise in Artificial Intelligence domain and deliverd 300+ project with 150 experienced employees. </s><s>[INST] How to I reach the HR of Biz4Group? [/INST] You can contact this company via Email: hr@biz4group.com or visit LinkedIn:https://www.linkedin.com/company/biz4group/</s><s>[INST] List out the project delivered by the Biz4Group?[/INS] There are following projects succesfully delivered by Biz4Group. 1. Valinor  2. NextLPC  3.Dr.HR  4.Lazyfy  5.Spectrum9  6.AMxTD  for more details visit portflio: https://www.biz4group.com/portfolio </s>","dtype":"null"}]


hub_id: amirveyseh/acronym_identification
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["id","tokens","labels"]
tags:
["task_categories:token-classification","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:mit","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:2010.14678","region:us","acronym-identification","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"labels","sequence":{"class_label":{"names":{"0":"B-long","1":"B-short","2":"I-long","3":"I-short","4":"O"}}}}]


hub_id: ade-benchmark-corpus/ade_corpus_v2
license: ["unknown"]
language: ["en"]
config_name: Ade_corpus_v2_drug_dosage_relation
column_names: ["text","drug","dosage","indexes"]
tags:
["task_categories:text-classification","task_categories:token-classification","task_ids:coreference-resolution","task_ids:fact-checking","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"drug","dtype":"string"},{"name":"dosage","dtype":"string"},{"name":"indexes","struct":[{"name":"drug","sequence":[{"name":"start_char","dtype":"int32"},{"name":"end_char","dtype":"int32"}]},{"name":"dosage","sequence":[{"name":"start_char","dtype":"int32"},{"name":"end_char","dtype":"int32"}]}]}]


hub_id: UCLNLP/adversarial_qa
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: droberta
column_names: ["id","title","context","question","answers","metadata"]
tags:
["task_categories:question-answering","task_ids:extractive-qa","task_ids:open-domain-qa","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-sa-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:2002.00293","arxiv:1606.05250","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answers","sequence":[{"name":"text","dtype":"string"},{"name":"answer_start","dtype":"int32"}]},{"name":"metadata","struct":[{"name":"split","dtype":"string"},{"name":"model_in_the_loop","dtype":"string"}]}]


hub_id: Yale-LILY/aeslc
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["email_body","subject_line"]
features: [{"name":"email_body","dtype":"string"},{"name":"subject_line","dtype":"string"}]
tags:
["task_categories:summarization","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:1906.03497","region:us","aspect-based-summarization","conversations-summarization","multi-document-summarization","email-headline-generation","croissant"]


hub_id: nwu-ctext/afrikaans_ner_corpus
license: ["other"]
language: ["af"]
config_name: afrikaans_ner_corpus
column_names: ["id","tokens","ner_tags"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:af","license:other","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"OUT","1":"B-PERS","2":"I-PERS","3":"B-ORG","4":"I-ORG","5":"B-LOC","6":"I-LOC","7":"B-MISC","8":"I-MISC"}}}}]


hub_id: fancyzhx/ag_news
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["text","label"]
tags:
["task_categories:text-classification","task_ids:topic-classification","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:10M<n<100M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"World","1":"Sports","2":"Business","3":"Sci/Tech"}}}}]


hub_id: allenai/ai2_arc
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: ARC-Easy
column_names: ["id","question","choices","answerKey"]
tags:
["task_categories:question-answering","task_ids:open-domain-qa","task_ids:multiple-choice-qa","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-sa-4.0","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","arxiv:1803.05457","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"choices","sequence":[{"name":"text","dtype":"string"},{"name":"label","dtype":"string"}]},{"name":"answerKey","dtype":"string"}]


hub_id: google/air_dialogue
license: ["cc-by-nc-4.0"]
language: ["en"]
config_name: air_dialogue_kb
column_names: ["kb","reservation"]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:conversational","task_ids:dialogue-generation","task_ids:dialogue-modeling","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:crowdsourced","language_creators:machine-generated","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-nc-4.0","size_categories:100M<n<1B","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"kb","list":[{"name":"airline","dtype":"string"},{"name":"class","dtype":"string"},{"name":"departure_airport","dtype":"string"},{"name":"departure_day","dtype":"string"},{"name":"departure_month","dtype":"string"},{"name":"departure_time_num","dtype":"int32"},{"name":"flight_number","dtype":"int32"},{"name":"num_connections","dtype":"int32"},{"name":"price","dtype":"int32"},{"name":"return_airport","dtype":"string"},{"name":"return_day","dtype":"string"},{"name":"return_month","dtype":"string"},{"name":"return_time_num","dtype":"int32"}]},{"name":"reservation","dtype":"int32"}]


hub_id: komari6/ajgt_twitter_ar
license: ["unknown"]
language: ["ar"]
config_name: plain_text
column_names: ["text","label"]
tags:
["task_categories:text-classification","task_ids:sentiment-classification","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:ar","license:unknown","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"Negative","1":"Positive"}}}}]


hub_id: legacy-datasets/allegro_reviews
license: ["cc-by-sa-4.0"]
language: ["pl"]
config_name: default
column_names: ["text","rating"]
features: [{"name":"text","dtype":"string"},{"name":"rating","dtype":"float32"}]
tags:
["task_categories:text-classification","task_ids:sentiment-scoring","task_ids:text-scoring","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:pl","license:cc-by-sa-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: tblard/allocine
license: ["mit"]
language: ["fr"]
config_name: allocine
column_names: ["review","label"]
tags:
["task_categories:text-classification","task_ids:sentiment-classification","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","source_datasets:original","language:fr","license:mit","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"review","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"neg","1":"pos"}}}}]


hub_id: mutiyama/alt
license: ["cc-by-4.0"]
language: ["bn","en","fil","hi","id","ja","km","lo","ms","my","th","vi","zh"]
config_name: alt-parallel
column_names: ["SNT.URLID","SNT.URLID.SNTID","url","translation"]
tags:
["task_categories:translation","task_categories:token-classification","task_ids:parsing","annotations_creators:expert-generated","language_creators:crowdsourced","multilinguality:multilingual","multilinguality:translation","source_datasets:original","language:bn","language:en","language:fil","language:hi","language:id","language:ja","language:km","language:lo","language:ms","language:my","language:th","language:vi","language:zh","license:cc-by-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"SNT.URLID","dtype":"string"},{"name":"SNT.URLID.SNTID","dtype":"string"},{"name":"url","dtype":"string"},{"name":"translation","dtype":{"translation":{"languages":["bg","en","en_tok","fil","hi","id","ja","khm","lo","ms","my","th","vi","zh"]}}}]


hub_id: fancyzhx/amazon_polarity
license: ["apache-2.0"]
language: ["en"]
config_name: amazon_polarity
column_names: ["label","title","content"]
tags:
["task_categories:text-classification","task_ids:sentiment-classification","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:apache-2.0","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","arxiv:1509.01626","region:us","croissant"]

features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"negative","1":"positive"}}}},{"name":"title","dtype":"string"},{"name":"content","dtype":"string"}]


hub_id: defunct-datasets/amazon_reviews_multi
license: ["other"]
language: ["de","en","es","fr","ja","zh"]
config_name: zh
tags:
["task_categories:summarization","task_categories:text-generation","task_categories:fill-mask","task_categories:text-classification","task_ids:text-scoring","task_ids:language-modeling","task_ids:masked-language-modeling","task_ids:sentiment-classification","task_ids:sentiment-scoring","task_ids:topic-classification","annotations_creators:found","language_creators:found","multilinguality:monolingual","multilinguality:multilingual","source_datasets:original","language:de","language:en","language:es","language:fr","language:ja","language:zh","license:other","size_categories:100K<n<1M","arxiv:2010.02573","region:us"]

column_names:
["review_id","product_id","reviewer_id","stars","review_body","review_title","language","product_category"]

features:
[{"name":"review_id","dtype":"string"},{"name":"product_id","dtype":"string"},{"name":"reviewer_id","dtype":"string"},{"name":"stars","dtype":"int32"},{"name":"review_body","dtype":"string"},{"name":"review_title","dtype":"string"},{"name":"language","dtype":"string"},{"name":"product_category","dtype":"string"}]


hub_id: defunct-datasets/amazon_us_reviews
license: ["other"]
language: ["en"]
config_name: Digital_Ebook_Purchase_v1_00
tags:
["task_categories:summarization","task_categories:text-generation","task_categories:fill-mask","task_categories:text-classification","task_ids:text-scoring","task_ids:language-modeling","task_ids:masked-language-modeling","task_ids:sentiment-classification","task_ids:sentiment-scoring","task_ids:topic-classification","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","size_categories:100M<n<1B","source_datasets:original","language:en","license:other","region:us"]

column_names:
["marketplace","customer_id","review_id","product_id","product_parent","product_title","product_category","star_rating","helpful_votes","total_votes","vine","verified_purchase","review_headline","review_body","review_date"]

features:
[{"name":"marketplace","dtype":"string"},{"name":"customer_id","dtype":"string"},{"name":"review_id","dtype":"string"},{"name":"product_id","dtype":"string"},{"name":"product_parent","dtype":"string"},{"name":"product_title","dtype":"string"},{"name":"product_category","dtype":"string"},{"name":"star_rating","dtype":"int32"},{"name":"helpful_votes","dtype":"int32"},{"name":"total_votes","dtype":"int32"},{"name":"vine","dtype":{"class_label":{"names":{"0":"N","1":"Y"}}}},{"name":"verified_purchase","dtype":{"class_label":{"names":{"0":"N","1":"Y"}}}},{"name":"review_headline","dtype":"string"},{"name":"review_body","dtype":"string"},{"name":"review_date","dtype":"string"}]


hub_id: sewon/ambig_qa
license: ["cc-by-sa-3.0"]
language: ["en"]
config_name: light
column_names: ["id","question","annotations"]
tags:
["task_categories:question-answering","task_ids:open-domain-qa","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:extended|natural_questions","source_datasets:original","language:en","license:cc-by-sa-3.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:2004.10645","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"annotations","sequence":[{"name":"type","dtype":"string"},{"name":"answer","sequence":"string"},{"name":"qaPairs","sequence":[{"name":"question","dtype":"string"},{"name":"answer","sequence":"string"}]}]}]


hub_id: nala-cub/americas_nli
license: ["cc-by-sa-4.0"]
language: ["ay","bzd","cni","gn","hch","nah","oto","qu","shp","tar"]
config_name: tar
column_names: ["premise","hypothesis","label"]
tags:
["task_categories:text-classification","task_ids:natural-language-inference","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:multilingual","multilinguality:translation","source_datasets:extended|xnli","language:ay","language:bzd","language:cni","language:gn","language:hch","language:nah","language:oto","language:qu","language:shp","language:tar","license:cc-by-sa-4.0","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","arxiv:2104.08726","region:us","croissant"]

features:
[{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"entailment","1":"neutral","2":"contradiction"}}}}]


hub_id: legacy-datasets/ami
license: ["cc-by-4.0"]
language: ["en"]
config_name: headset-multi
tags:
["task_categories:automatic-speech-recognition","annotations_creators:expert-generated","language_creators:crowdsourced","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:100K<n<1M","region:us"]

column_names:
["word_ids","word_start_times","word_end_times","word_speakers","segment_ids","segment_start_times","segment_end_times","segment_speakers","words","channels","file-0","file-1","file-2","file-3"]

features:
[{"name":"word_ids","sequence":"string"},{"name":"word_start_times","sequence":"float32"},{"name":"word_end_times","sequence":"float32"},{"name":"word_speakers","sequence":"string"},{"name":"segment_ids","sequence":"string"},{"name":"segment_start_times","sequence":"float32"},{"name":"segment_end_times","sequence":"float32"},{"name":"segment_speakers","sequence":"string"},{"name":"words","sequence":"string"},{"name":"channels","sequence":"string"},{"name":"file-0","dtype":"string"},{"name":"file-1","dtype":"string"},{"name":"file-2","dtype":"string"},{"name":"file-3","dtype":"string"}]


hub_id: gavinxing/amttl
license: ["mit"]
language: ["zh"]
config_name: amttl
column_names: ["id","tokens","tags"]
tags:
["task_categories:token-classification","task_ids:parsing","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:zh","license:mit","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"tags","sequence":{"class_label":{"names":{"0":"B","1":"I","2":"E","3":"S"}}}}]


hub_id: facebook/anli
license: ["cc-by-nc-4.0"]
language: ["en"]
config_name: plain_text
column_names: ["uid","premise","hypothesis","label","reason"]
tags:
["task_categories:text-classification","task_ids:natural-language-inference","task_ids:multi-input-text-classification","annotations_creators:crowdsourced","annotations_creators:machine-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","source_datasets:extended|hotpot_qa","language:en","license:cc-by-nc-4.0","size_categories:10M<n<100M","parquet","text","datasets","pandas","mlcroissant","arxiv:1910.14599","region:us","croissant"]

features:
[{"name":"uid","dtype":"string"},{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"entailment","1":"neutral","2":"contradiction"}}}},{"name":"reason","dtype":"string"}]


hub_id: sealuzh/app_reviews
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["package_name","review","date","star"]
tags:
["task_categories:text-classification","task_ids:text-scoring","task_ids:sentiment-scoring","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:10M<n<100M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"package_name","dtype":"string"},{"name":"review","dtype":"string"},{"name":"date","dtype":"string"},{"name":"star","dtype":"int8"}]


hub_id: deepmind/aqua_rat
license: ["apache-2.0"]
language: ["en"]
config_name: tokenized
column_names: ["question","options","rationale","correct"]
tags:
["task_categories:question-answering","task_ids:multiple-choice-qa","annotations_creators:crowdsourced","language_creators:crowdsourced","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:en","license:apache-2.0","size_categories:10M<n<100M","parquet","text","datasets","pandas","mlcroissant","arxiv:1705.04146","region:us","croissant"]

features:
[{"name":"question","dtype":"string"},{"name":"options","sequence":"string"},{"name":"rationale","dtype":"string"},{"name":"correct","dtype":"string"}]


hub_id: google-research-datasets/aquamuse
license: ["unknown"]
language: ["en"]
config_name: extractive
column_names: ["query","input_urls","target"]
tags:
["task_categories:other","task_categories:question-answering","task_categories:text2text-generation","task_ids:abstractive-qa","task_ids:extractive-qa","annotations_creators:crowdsourced","annotations_creators:expert-generated","language_creators:crowdsourced","language_creators:expert-generated","multilinguality:monolingual","source_datasets:extended|natural_questions","source_datasets:extended|other-Common-Crawl","source_datasets:original","language:en","license:unknown","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","arxiv:2010.12694","region:us","query-based-multi-document-summarization","croissant"]

features:
[{"name":"query","dtype":"string"},{"name":"input_urls","sequence":"string"},{"name":"target","dtype":"string"}]


hub_id: bigIR/ar_cov19
license: []
language: ["ar"]
config_name: ar_cov19
column_names: ["tweetID"]
features: [{"name":"tweetID","dtype":"string"}]
tags:
["task_categories:other","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","source_datasets:original","language:ar","size_categories:1M<n<10M","text","datasets","mlcroissant","arxiv:2004.05861","region:us","data-mining","croissant"]


hub_id: hadyelsahar/ar_res_reviews
license: ["unknown"]
language: ["ar"]
config_name: default
column_names: ["polarity","text","restaurant_id","user_id"]
tags:
["task_categories:text-classification","task_ids:sentiment-classification","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:ar","license:unknown","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"polarity","dtype":{"class_label":{"names":{"0":"negative","1":"positive"}}}},{"name":"text","dtype":"string"},{"name":"restaurant_id","dtype":"string"},{"name":"user_id","dtype":"string"}]


hub_id: iabufarha/ar_sarcasm
license: ["mit"]
language: ["ar"]
config_name: default
column_names: ["dialect","sarcasm","sentiment","original_sentiment","tweet","source"]
tags:
["task_categories:text-classification","task_ids:sentiment-classification","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","source_datasets:extended|other-semeval_2017","source_datasets:extended|other-astd","language:ar","license:mit","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","sarcasm-detection","croissant"]

features:
[{"name":"dialect","dtype":{"class_label":{"names":{"0":"egypt","1":"gulf","2":"levant","3":"magreb","4":"msa"}}}},{"name":"sarcasm","dtype":{"class_label":{"names":{"0":"non-sarcastic","1":"sarcastic"}}}},{"name":"sentiment","dtype":{"class_label":{"names":{"0":"negative","1":"neutral","2":"positive"}}}},{"name":"original_sentiment","dtype":{"class_label":{"names":{"0":"negative","1":"neutral","2":"positive"}}}},{"name":"tweet","dtype":"string"},{"name":"source","dtype":"string"}]


hub_id: abuelkhair-corpus/arabic_billion_words
license: ["unknown"]
language: ["ar"]
config_name: Youm7
column_names: ["url","head_line","date","text"]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:found","language_creators:found","multilinguality:monolingual","size_categories:100K<n<1M","size_categories:10K<n<100K","size_categories:1M<n<10M","source_datasets:original","language:ar","license:unknown","arxiv:1611.04033","region:us"]

features:
[{"name":"url","dtype":"string"},{"name":"head_line","dtype":"string"},{"name":"date","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: QCRI/arabic_pos_dialect
license: ["apache-2.0"]
language: ["ar"]
config_name: mgr
column_names: ["fold","subfold","words","segments","pos_tags"]
tags:
["task_categories:token-classification","task_ids:part-of-speech","annotations_creators:expert-generated","language_creators:found","multilinguality:multilingual","source_datasets:extended","language:ar","license:apache-2.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","arxiv:1708.05891","region:us","croissant"]

features:
[{"name":"fold","dtype":"int32"},{"name":"subfold","dtype":"string"},{"name":"words","sequence":"string"},{"name":"segments","sequence":"string"},{"name":"pos_tags","sequence":"string"}]


hub_id: halabi2016/arabic_speech_corpus
license: ["cc-by-4.0"]
language: ["ar"]
config_name: clean
column_names: ["file","text","audio","phonetic","orthographic"]
tags:
["task_categories:automatic-speech-recognition","annotations_creators:expert-generated","language_creators:crowdsourced","multilinguality:monolingual","size_categories:1K<n<10K","source_datasets:original","language:ar","license:cc-by-4.0","region:us"]

features:
[{"name":"file","dtype":"string"},{"name":"text","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":48000}}},{"name":"phonetic","dtype":"string"},{"name":"orthographic","dtype":"string"}]


hub_id: hsseinmz/arcd
license: ["mit"]
language: ["ar"]
config_name: plain_text
column_names: ["id","title","context","question","answers"]
tags:
["task_categories:question-answering","task_ids:extractive-qa","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:ar","license:mit","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answers","sequence":[{"name":"text","dtype":"string"},{"name":"answer_start","dtype":"int32"}]}]


hub_id: ramybaly/arsentd_lev
license: ["other"]
language: ["apc","ajp"]
config_name: default
column_names: ["Tweet","Country","Topic","Sentiment","Sentiment_Expression","Sentiment_Target"]
tags:
["task_categories:text-classification","task_ids:sentiment-classification","task_ids:topic-classification","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:apc","language:ajp","license:other","size_categories:1K<n<10K","arxiv:1906.01830","region:us"]

features:
[{"name":"Tweet","dtype":"string"},{"name":"Country","dtype":{"class_label":{"names":{"0":"jordan","1":"lebanon","2":"syria","3":"palestine"}}}},{"name":"Topic","dtype":"string"},{"name":"Sentiment","dtype":{"class_label":{"names":{"0":"negative","1":"neutral","2":"positive","3":"very_negative","4":"very_positive"}}}},{"name":"Sentiment_Expression","dtype":{"class_label":{"names":{"0":"explicit","1":"implicit","2":"none"}}}},{"name":"Sentiment_Target","dtype":"string"}]


hub_id: allenai/art
license: ["unknown"]
language: ["en"]
config_name: anli
column_names: ["observation_1","observation_2","hypothesis_1","hypothesis_2","label"]
tags:
["task_categories:multiple-choice","task_categories:text-classification","task_ids:natural-language-inference","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","arxiv:1908.05739","region:us","abductive-natural-language-inference","croissant"]

features:
[{"name":"observation_1","dtype":"string"},{"name":"observation_2","dtype":"string"},{"name":"hypothesis_1","dtype":"string"},{"name":"hypothesis_2","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"1","2":"2"}}}}]


hub_id: arxiv-community/arxiv_dataset
license: ["cc0-1.0"]
language: ["en"]
config_name: default
tags:
["task_categories:translation","task_categories:summarization","task_categories:text-retrieval","task_ids:document-retrieval","task_ids:entity-linking-retrieval","task_ids:explanation-generation","task_ids:fact-checking-retrieval","task_ids:text-simplification","annotations_creators:no-annotation","language_creators:expert-generated","multilinguality:monolingual","size_categories:1M<n<10M","source_datasets:original","language:en","license:cc0-1.0","arxiv:1905.00075","region:us"]

column_names:
["id","submitter","authors","title","comments","journal-ref","doi","report-no","categories","license","abstract","update_date"]

features:
[{"name":"id","dtype":"string"},{"name":"submitter","dtype":"string"},{"name":"authors","dtype":"string"},{"name":"title","dtype":"string"},{"name":"comments","dtype":"string"},{"name":"journal-ref","dtype":"string"},{"name":"doi","dtype":"string"},{"name":"report-no","dtype":"string"},{"name":"categories","dtype":"string"},{"name":"license","dtype":"string"},{"name":"abstract","dtype":"string"},{"name":"update_date","dtype":"string"}]


hub_id: tuanphong/ascent_kb
license: ["cc-by-4.0"]
language: ["en"]
config_name: open
column_names: ["subject","predicate","object","support","facets","source_sentences"]
tags:
["task_categories:other","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","arxiv:2011.00905","region:us","knowledge-base","croissant"]

features:
[{"name":"subject","dtype":"string"},{"name":"predicate","dtype":"string"},{"name":"object","dtype":"string"},{"name":"support","dtype":"int64"},{"name":"facets","list":[{"name":"value","dtype":"string"},{"name":"type","dtype":"string"},{"name":"support","dtype":"int64"}]},{"name":"source_sentences","list":[{"name":"text","dtype":"string"},{"name":"source","dtype":"string"}]}]


hub_id: achrafothman/aslg_pc12
license: ["cc-by-nc-4.0"]
language: ["ase","en"]
config_name: default
column_names: ["gloss","text"]
features: [{"name":"gloss","dtype":"string"},{"name":"text","dtype":"string"}]
tags:
["task_categories:translation","annotations_creators:crowdsourced","annotations_creators:expert-generated","language_creators:found","multilinguality:translation","source_datasets:original","language:ase","language:en","license:cc-by-nc-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: AmazonScience/asnq
license: ["cc-by-nc-sa-3.0"]
language: ["en"]
config_name: default
column_names: ["question","sentence","label","sentence_in_long_answer","short_answer_in_sentence"]
tags:
["task_categories:multiple-choice","task_ids:multiple-choice-qa","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:extended|natural_questions","language:en","license:cc-by-nc-sa-3.0","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","arxiv:1911.04118","region:us","croissant"]

features:
[{"name":"question","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"neg","1":"pos"}}}},{"name":"sentence_in_long_answer","dtype":"bool"},{"name":"short_answer_in_sentence","dtype":"bool"}]


hub_id: facebook/asset
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: simplification
column_names: ["original","simplifications"]
features: [{"name":"original","dtype":"string"},{"name":"simplifications","sequence":"string"}]
tags:
["task_categories:text-classification","task_categories:text2text-generation","task_ids:text-simplification","annotations_creators:machine-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","source_datasets:extended|other-turkcorpus","language:en","license:cc-by-sa-4.0","size_categories:1K<n<10K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","simplification-evaluation","croissant"]


hub_id: nilc-nlp/assin
license: ["unknown"]
language: ["pt"]
config_name: ptpt
column_names: ["sentence_pair_id","premise","hypothesis","relatedness_score","entailment_judgment"]
tags:
["task_categories:text-classification","task_ids:text-scoring","task_ids:natural-language-inference","task_ids:semantic-similarity-scoring","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:pt","license:unknown","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"sentence_pair_id","dtype":"int64"},{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"relatedness_score","dtype":"float32"},{"name":"entailment_judgment","dtype":{"class_label":{"names":{"0":"NONE","1":"ENTAILMENT","2":"PARAPHRASE"}}}}]


hub_id: nilc-nlp/assin2
license: ["unknown"]
language: ["pt"]
config_name: default
column_names: ["sentence_pair_id","premise","hypothesis","relatedness_score","entailment_judgment"]
tags:
["task_categories:text-classification","task_ids:text-scoring","task_ids:natural-language-inference","task_ids:semantic-similarity-scoring","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:pt","license:unknown","size_categories:1K<n<10K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"sentence_pair_id","dtype":"int64"},{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"relatedness_score","dtype":"float32"},{"name":"entailment_judgment","dtype":{"class_label":{"names":{"0":"NONE","1":"ENTAILMENT"}}}}]


hub_id: allenai/atomic
license: ["cc-by-4.0"]
language: ["en"]
config_name: atomic
tags:
["task_categories:text2text-generation","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","size_categories:100K<n<1M","source_datasets:original","language:en","license:cc-by-4.0","common-sense-if-then-reasoning","region:us"]

column_names:
["event","oEffect","oReact","oWant","xAttr","xEffect","xIntent","xNeed","xReact","xWant","prefix","split"]

features:
[{"name":"event","dtype":"string"},{"name":"oEffect","sequence":"string"},{"name":"oReact","sequence":"string"},{"name":"oWant","sequence":"string"},{"name":"xAttr","sequence":"string"},{"name":"xEffect","sequence":"string"},{"name":"xIntent","sequence":"string"},{"name":"xNeed","sequence":"string"},{"name":"xReact","sequence":"string"},{"name":"xWant","sequence":"string"},{"name":"prefix","sequence":"string"},{"name":"split","dtype":"string"}]


hub_id: nwu-ctext/autshumato
license: ["cc-by-2.5"]
language: ["en","tn","ts","zu"]
config_name: autshumato-ts
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["task_categories:translation","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:multilingual","size_categories:100K<n<1M","size_categories:10K<n<100K","source_datasets:original","language:en","language:tn","language:ts","language:zu","license:cc-by-2.5","region:us"]


hub_id: facebook/babi_qa
license: ["cc-by-3.0"]
language: ["en"]
config_name: shuffled-10k-qa20
column_names: ["story"]
tags:
["task_categories:question-answering","annotations_creators:machine-generated","language_creators:machine-generated","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-3.0","size_categories:10K<n<100K","text","datasets","mlcroissant","arxiv:1502.05698","arxiv:1511.06931","region:us","chained-qa","croissant"]

features:
[{"name":"story","sequence":[{"name":"id","dtype":"string"},{"name":"type","dtype":{"class_label":{"names":{"0":"context","1":"question"}}}},{"name":"text","dtype":"string"},{"name":"supporting_ids","sequence":"string"},{"name":"answer","dtype":"string"}]}]


hub_id: legacy-datasets/banking77
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["text","label"]
tags:
["task_categories:text-classification","task_ids:intent-classification","task_ids:multi-class-classification","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","arxiv:2003.04807","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"activate_my_card","1":"age_limit","2":"apple_pay_or_google_pay","3":"atm_support","4":"automatic_top_up","5":"balance_not_updated_after_bank_transfer","6":"balance_not_updated_after_cheque_or_cash_deposit","7":"beneficiary_not_allowed","8":"cancel_transfer","9":"card_about_to_expire","10":"card_acceptance","11":"card_arrival","12":"card_delivery_estimate","13":"card_linking","14":"card_not_working","15":"card_payment_fee_charged","16":"card_payment_not_recognised","17":"card_payment_wrong_exchange_rate","18":"card_swallowed","19":"cash_withdrawal_charge","20":"cash_withdrawal_not_recognised","21":"change_pin","22":"compromised_card","23":"contactless_not_working","24":"country_support","25":"declined_card_payment","26":"declined_cash_withdrawal","27":"declined_transfer","28":"direct_debit_payment_not_recognised","29":"disposable_card_limits","30":"edit_personal_details","31":"exchange_charge","32":"exchange_rate","33":"exchange_via_app","34":"extra_charge_on_statement","35":"failed_transfer","36":"fiat_currency_support","37":"get_disposable_virtual_card","38":"get_physical_card","39":"getting_spare_card","40":"getting_virtual_card","41":"lost_or_stolen_card","42":"lost_or_stolen_phone","43":"order_physical_card","44":"passcode_forgotten","45":"pending_card_payment","46":"pending_cash_withdrawal","47":"pending_top_up","48":"pending_transfer","49":"pin_blocked","50":"receiving_money","51":"Refund_not_showing_up","52":"request_refund","53":"reverted_card_payment?","54":"supported_cards_and_currencies","55":"terminate_account","56":"top_up_by_bank_transfer_charge","57":"top_up_by_card_charge","58":"top_up_by_cash_or_cheque","59":"top_up_failed","60":"top_up_limits","61":"top_up_reverted","62":"topping_up_by_card","63":"transaction_charged_twice","64":"transfer_fee_charged","65":"transfer_into_account","66":"transfer_not_received_by_recipient","67":"transfer_timing","68":"unable_to_verify_identity","69":"verify_my_identity","70":"verify_source_of_funds","71":"verify_top_up","72":"virtual_card_not_working","73":"visa_or_mastercard","74":"why_verify_identity","75":"wrong_amount_of_cash_received","76":"wrong_exchange_rate_for_cash_withdrawal"}}}}]


hub_id: phiwi/bbaw_egyptian
license: ["cc-by-sa-4.0"]
language: ["egy","de","en"]
config_name: default
column_names: ["transcription","translation","hieroglyphs"]
tags:
["task_categories:translation","annotations_creators:expert-generated","language_creators:found","multilinguality:multilingual","source_datasets:extended|wikipedia","language:egy","language:de","language:en","license:cc-by-sa-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"transcription","dtype":"string"},{"name":"translation","dtype":"string"},{"name":"hieroglyphs","dtype":"string"}]


hub_id: midas/bbc_hindi_nli
license: ["mit"]
language: ["hi"]
config_name: bbc hindi nli
column_names: ["premise","hypothesis","label","topic"]
tags:
["task_categories:text-classification","task_ids:natural-language-inference","annotations_creators:machine-generated","language_creators:found","multilinguality:monolingual","source_datasets:extended|bbc__hindi_news_classification","language:hi","license:mit","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"not-entailment","1":"entailment"}}}},{"name":"topic","dtype":{"class_label":{"names":{"0":"india","1":"news","2":"international","3":"entertainment","4":"sport","5":"science"}}}}]


hub_id: spyysalo/bc2gm_corpus
license: ["unknown"]
language: ["en"]
config_name: bc2gm_corpus
column_names: ["id","tokens","ner_tags"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-GENE","2":"I-GENE"}}}}]


hub_id: AI-Lab-Makerere/beans
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["image_file_path","image","labels"]
tags:
["task_categories:image-classification","task_ids:multi-class-image-classification","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:en","license:mit","size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image_file_path","dtype":"string"},{"name":"image","dtype":"image"},{"name":"labels","dtype":{"class_label":{"names":{"0":"angular_leaf_spot","1":"bean_rust","2":"healthy"}}}}]


hub_id: nectec/best2009
license: ["cc-by-nc-sa-3.0"]
language: ["th"]
config_name: best2009
column_names: ["fname","char","char_type","is_beginning"]
tags:
["task_categories:token-classification","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:th","license:cc-by-nc-sa-3.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","word-tokenization","croissant"]

features:
[{"name":"fname","dtype":"string"},{"name":"char","sequence":"string"},{"name":"char_type","sequence":{"class_label":{"names":{"0":"b_e","1":"c","2":"d","3":"n","4":"o","5":"p","6":"q","7":"s","8":"s_e","9":"t","10":"v","11":"w"}}}},{"name":"is_beginning","sequence":{"class_label":{"names":{"0":"neg","1":"pos"}}}}]


hub_id: Helsinki-NLP/bianet
license: ["cc-by-sa-4.0"]
language: ["en","ku","tr"]
config_name: ku-tr
column_names: ["id","translation"]
tags:
["task_categories:translation","annotations_creators:found","language_creators:found","multilinguality:translation","source_datasets:original","language:en","language:ku","language:tr","license:cc-by-sa-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:1805.05095","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"translation","dtype":{"translation":{"languages":["ku","tr"]}}}]


hub_id: Helsinki-NLP/bible_para
license: ["cc0-1.0"]
config_name: en-hi
column_names: ["id","translation"]
tags:
["task_categories:translation","annotations_creators:found","language_creators:found","multilinguality:multilingual","source_datasets:original","language:acu","language:af","language:agr","language:ake","language:am","language:amu","language:ar","language:bg","language:bsn","language:cak","language:ceb","language:ch","language:chq","language:chr","language:cjp","language:cni","language:cop","language:crp","language:cs","language:da","language:de","language:dik","language:dje","language:djk","language:dop","language:ee","language:el","language:en","language:eo","language:es","language:et","language:eu","language:fi","language:fr","language:gbi","language:gd","language:gu","language:gv","language:he","language:hi","language:hr","language:hu","language:hy","language:id","language:is","language:it","language:ja","language:jak","language:jiv","language:kab","language:kbh","language:kek","language:kn","language:ko","language:la","language:lt","language:lv","language:mam","language:mi","language:ml","language:mr","language:my","language:ne","language:nhg","language:nl","language:no","language:ojb","language:pck","language:pes","language:pl","language:plt","language:pot","language:ppk","language:pt","language:quc","language:quw","language:ro","language:rom","language:ru","language:shi","language:sk","language:sl","language:sn","language:so","language:sq","language:sr","language:ss","language:sv","language:syr","language:te","language:th","language:tl","language:tmh","language:tr","language:uk","language:usp","language:vi","language:wal","language:wo","language:xh","language:zh","language:zu","license:cc0-1.0","size_categories:10K<n<100K","region:us"]

language:
["acu","af","agr","ake","am","amu","ar","bg","bsn","cak","ceb","ch","chq","chr","cjp","cni","cop","crp","cs","da","de","dik","dje","djk","dop","ee","el","en","eo","es","et","eu","fi","fr","gbi","gd","gu","gv","he","hi","hr","hu","hy","id","is","it","ja","jak","jiv","kab","kbh","kek","kn","ko","la","lt","lv","mam","mi","ml","mr","my","ne","nhg","nl","no","ojb","pck","pes","pl","plt","pot","ppk","pt","quc","quw","ro","rom","ru","shi","sk","sl","sn","so","sq","sr","ss","sv","syr","te","th","tl","tmh","tr","uk","usp","vi","wal","wo","xh","zh","zu"]

features:
[{"name":"id","dtype":"string"},{"name":"translation","dtype":{"translation":{"languages":["en","hi"]}}}]


hub_id: NortheasternUniversity/big_patent
license: ["cc-by-4.0"]
language: ["en"]
config_name: y
column_names: ["description","abstract"]
features: [{"name":"description","dtype":"string"},{"name":"abstract","dtype":"string"}]
tags:
["task_categories:summarization","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","size_categories:100K<n<1M","size_categories:10K<n<100K","size_categories:1M<n<10M","source_datasets:original","language:en","license:cc-by-4.0","patent-summarization","arxiv:1906.03741","region:us"]


hub_id: FiscalNote/billsum
license: ["cc0-1.0"]
language: ["en"]
config_name: default
column_names: ["text","summary","title"]
tags:
["task_categories:summarization","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc0-1.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:1910.00523","region:us","bills-summarization","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"title","dtype":"string"}]


hub_id: microsoft/bing_coronavirus_query_set
license: ["other"]
language: ["en"]
config_name: country_2020-09-01_2020-09-30
column_names: ["id","Date","Query","IsImplicitIntent","Country","PopularityScore"]
tags:
["task_categories:text-classification","task_ids:intent-classification","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:other","size_categories:100K<n<1M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"int32"},{"name":"Date","dtype":"string"},{"name":"Query","dtype":"string"},{"name":"IsImplicitIntent","dtype":"string"},{"name":"Country","dtype":"string"},{"name":"PopularityScore","dtype":"int32"}]


hub_id: nlpaueb/biomrc
tags: ["language:en","region:us"]
license: []
language: ["en"]
config_name: biomrc_tiny_B
column_names: ["abstract","title","entities_list","answer"]
features:
[{"name":"abstract","dtype":"string"},{"name":"title","dtype":"string"},{"name":"entities_list","sequence":"string"},{"name":"answer","dtype":"string"}]


hub_id: tabilab/biosses
license: ["gpl-3.0"]
language: ["en"]
config_name: default
column_names: ["sentence1","sentence2","score"]
tags:
["task_categories:text-classification","task_ids:text-scoring","task_ids:semantic-similarity-scoring","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:gpl-3.0","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"sentence1","dtype":"string"},{"name":"sentence2","dtype":"string"},{"name":"score","dtype":"float32"}]


hub_id: TheBritishLibrary/blbooks
license: ["cc0-1.0"]
language: ["de","en","es","fr","it","nl"]
config_name: 1700_1799
tags:
["task_categories:text-generation","task_categories:fill-mask","task_categories:other","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:no-annotation","language_creators:machine-generated","multilinguality:multilingual","source_datasets:original","language:de","language:en","language:es","language:fr","language:it","language:nl","license:cc0-1.0","size_categories:100K<n<1M","tabular","text","datasets","mlcroissant","region:us","digital-humanities-research","croissant"]

column_names:
["record_id","date","raw_date","title","place","empty_pg","text","pg","mean_wc_ocr","std_wc_ocr","name","all_names","Publisher","Country of publication 1","all Countries of publication","Physical description","Language_1","Language_2","Language_3","Language_4","multi_language"]

features:
[{"name":"record_id","dtype":"string"},{"name":"date","dtype":"timestamp[s]"},{"name":"raw_date","dtype":"string"},{"name":"title","dtype":"string"},{"name":"place","dtype":"string"},{"name":"empty_pg","dtype":"bool"},{"name":"text","dtype":"string"},{"name":"pg","dtype":"int32"},{"name":"mean_wc_ocr","dtype":"float32"},{"name":"std_wc_ocr","dtype":"float64"},{"name":"name","dtype":"string"},{"name":"all_names","dtype":"string"},{"name":"Publisher","dtype":"string"},{"name":"Country of publication 1","dtype":"string"},{"name":"all Countries of publication","dtype":"string"},{"name":"Physical description","dtype":"string"},{"name":"Language_1","dtype":"string"},{"name":"Language_2","dtype":"string"},{"name":"Language_3","dtype":"string"},{"name":"Language_4","dtype":"string"},{"name":"multi_language","dtype":"bool"}]


hub_id: TheBritishLibrary/blbooksgenre
license: ["cc0-1.0"]
language: ["de","en","fr","nl"]
config_name: raw
tags:
["task_categories:text-classification","task_categories:text-generation","task_categories:fill-mask","task_ids:topic-classification","task_ids:multi-label-classification","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:expert-generated","language_creators:crowdsourced","language_creators:expert-generated","multilinguality:multilingual","source_datasets:original","language:de","language:en","language:fr","language:nl","license:cc0-1.0","size_categories:10K<n<100K","text","datasets","mlcroissant","region:us","croissant"]

column_names:
["BL record ID","Name","Dates associated with name","Type of name","Role","All names","Title","Variant titles","Series title","Number within series","Country of publication","Place of publication","Publisher","Date of publication","Edition","Physical description","Dewey classification","BL shelfmark","Topics","Genre","Languages","Notes","BL record ID for physical resource","classification_id","user_id","subject_ids","annotator_date_pub","annotator_normalised_date_pub","annotator_edition_statement","annotator_FAST_genre_terms","annotator_FAST_subject_terms","annotator_comments","annotator_main_language","annotator_other_languages_summaries","annotator_summaries_language","annotator_translation","annotator_original_language","annotator_publisher","annotator_place_pub","annotator_country","annotator_title","Link to digitised book","annotated","Type of resource","created_at","annotator_genre"]

features:
[{"name":"BL record ID","dtype":"string"},{"name":"Name","dtype":"string"},{"name":"Dates associated with name","dtype":"string"},{"name":"Type of name","dtype":"string"},{"name":"Role","dtype":"string"},{"name":"All names","sequence":"string"},{"name":"Title","dtype":"string"},{"name":"Variant titles","dtype":"string"},{"name":"Series title","dtype":"string"},{"name":"Number within series","dtype":"string"},{"name":"Country of publication","sequence":"string"},{"name":"Place of publication","sequence":"string"},{"name":"Publisher","dtype":"string"},{"name":"Date of publication","dtype":"string"},{"name":"Edition","dtype":"string"},{"name":"Physical description","dtype":"string"},{"name":"Dewey classification","dtype":"string"},{"name":"BL shelfmark","dtype":"string"},{"name":"Topics","dtype":"string"},{"name":"Genre","dtype":"string"},{"name":"Languages","sequence":"string"},{"name":"Notes","dtype":"string"},{"name":"BL record ID for physical resource","dtype":"string"},{"name":"classification_id","dtype":"string"},{"name":"user_id","dtype":"string"},{"name":"subject_ids","dtype":"string"},{"name":"annotator_date_pub","dtype":"string"},{"name":"annotator_normalised_date_pub","dtype":"string"},{"name":"annotator_edition_statement","dtype":"string"},{"name":"annotator_FAST_genre_terms","dtype":"string"},{"name":"annotator_FAST_subject_terms","dtype":"string"},{"name":"annotator_comments","dtype":"string"},{"name":"annotator_main_language","dtype":"string"},{"name":"annotator_other_languages_summaries","dtype":"string"},{"name":"annotator_summaries_language","dtype":"string"},{"name":"annotator_translation","dtype":"string"},{"name":"annotator_original_language","dtype":"string"},{"name":"annotator_publisher","dtype":"string"},{"name":"annotator_place_pub","dtype":"string"},{"name":"annotator_country","dtype":"string"},{"name":"annotator_title","dtype":"string"},{"name":"Link to digitised book","dtype":"string"},{"name":"annotated","dtype":"bool"},{"name":"Type of resource","dtype":{"class_label":{"names":{"0":"Monograph","1":"Serial","2":"Monographic component part"}}}},{"name":"created_at","dtype":"string"},{"name":"annotator_genre","dtype":"string"}]


hub_id: ParlAI/blended_skill_talk
license: ["unknown"]
language: ["en"]
config_name: default
tags:
["task_ids:dialogue-generation","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","arxiv:2004.08449","region:us","croissant"]

column_names:
["personas","additional_context","previous_utterance","context","free_messages","guided_messages","suggestions","guided_chosen_suggestions","label_candidates"]

features:
[{"name":"personas","sequence":"string"},{"name":"additional_context","dtype":"string"},{"name":"previous_utterance","sequence":"string"},{"name":"context","dtype":"string"},{"name":"free_messages","sequence":"string"},{"name":"guided_messages","sequence":"string"},{"name":"suggestions","sequence":[{"name":"convai2","dtype":"string"},{"name":"empathetic_dialogues","dtype":"string"},{"name":"wizard_of_wikipedia","dtype":"string"}]},{"name":"guided_chosen_suggestions","sequence":"string"},{"name":"label_candidates","sequence":{"sequence":"string"}}]


hub_id: nyu-mll/blimp
license: ["cc-by-4.0"]
language: ["en"]
config_name: wh_vs_that_with_gap_long_distance
tags:
["task_categories:text-classification","task_ids:acceptability-classification","annotations_creators:crowdsourced","language_creators:machine-generated","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:10M<n<100M","parquet","text","datasets","pandas","mlcroissant","arxiv:1912.00582","region:us","croissant"]

column_names:
["sentence_good","sentence_bad","field","linguistics_term","UID","simple_LM_method","one_prefix_method","two_prefix_method","lexically_identical","pair_id"]

features:
[{"name":"sentence_good","dtype":"string"},{"name":"sentence_bad","dtype":"string"},{"name":"field","dtype":"string"},{"name":"linguistics_term","dtype":"string"},{"name":"UID","dtype":"string"},{"name":"simple_LM_method","dtype":"bool"},{"name":"one_prefix_method","dtype":"bool"},{"name":"two_prefix_method","dtype":"bool"},{"name":"lexically_identical","dtype":"bool"},{"name":"pair_id","dtype":"int32"}]


hub_id: barilan/blog_authorship_corpus
license: ["unknown"]
language: ["en"]
config_name: blog_authorship_corpus
column_names: ["text","date","gender","age","horoscope","job"]
tags:
["task_categories:text-classification","task_ids:multi-class-classification","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","size_categories:10K<n<100K","source_datasets:original","language:en","license:unknown","region:us"]

features:
[{"name":"text","dtype":"string"},{"name":"date","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"age","dtype":"int32"},{"name":"horoscope","dtype":"string"},{"name":"job","dtype":"string"}]


hub_id: rezacsedu/bn_hate_speech
license: ["mit"]
language: ["bn"]
config_name: default
column_names: ["text","label"]
tags:
["task_categories:text-classification","annotations_creators:crowdsourced","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:bn","license:mit","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:2004.07807","region:us","hate-speech-topic-classification","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"Personal","1":"Political","2":"Religious","3":"Geopolitical","4":"Gender abusive"}}}}]


hub_id: bnl-data/bnl_newspapers
license: ["cc0-1.0"]
language: ["ar","da","de","fi","fr","lb","nl","pt"]
config_name: processed
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:no-annotation","language_creators:found","multilinguality:multilingual","source_datasets:original","language:ar","language:da","language:de","language:fi","language:fr","language:lb","language:nl","language:pt","license:cc0-1.0","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["id","source","url","title","ispartof","text","pub_date","publisher","language","article_type","extent"]

features:
[{"name":"id","dtype":"string"},{"name":"source","dtype":"string"},{"name":"url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"ispartof","dtype":"string"},{"name":"text","dtype":"string"},{"name":"pub_date","dtype":"timestamp[s]"},{"name":"publisher","dtype":"string"},{"name":"language","dtype":"string"},{"name":"article_type","dtype":{"class_label":{"names":{"0":"ADVERTISEMENT_SECTION","1":"BIBLIOGRAPHY","2":"CHAPTER","3":"INDEX","4":"CONTRIBUTION","5":"TABLE_OF_CONTENTS","6":"WEATHER","7":"SHIPPING","8":"SECTION","9":"ARTICLE","10":"TITLE_SECTION","11":"DEATH_NOTICE","12":"SUPPLEMENT","13":"TABLE","14":"ADVERTISEMENT","15":"CHART_DIAGRAM","16":"ILLUSTRATION","17":"ISSUE"}}}},{"name":"extent","dtype":"int32"}]


hub_id: bookcorpus/bookcorpus
license: ["unknown"]
language: ["en"]
config_name: plain_text
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","size_categories:10M<n<100M","source_datasets:original","language:en","license:unknown","arxiv:2105.05241","region:us"]


hub_id: defunct-datasets/bookcorpusopen
license: ["unknown"]
language: ["en"]
config_name: plain_text
column_names: ["title","text"]
features: [{"name":"title","dtype":"string"},{"name":"text","dtype":"string"}]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:10K<n<100K","arxiv:2105.05241","region:us"]


hub_id: google/boolq
license: ["cc-by-sa-3.0"]
language: ["en"]
config_name: default
column_names: ["question","answer","passage"]
tags:
["task_categories:text-classification","task_ids:natural-language-inference","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-sa-3.0","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","arxiv:1905.10044","region:us","croissant"]

features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"bool"},{"name":"passage","dtype":"string"}]


hub_id: clarin-pl/bprec
license: ["unknown"]
language: ["pl"]
config_name: banking
column_names: ["id","category","text","ner"]
tags:
["task_categories:text-retrieval","task_ids:entity-linking-retrieval","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:pl","license:unknown","size_categories:1K<n<10K","region:us"]

features:
[{"name":"id","dtype":"int32"},{"name":"category","dtype":"string"},{"name":"text","dtype":"string"},{"name":"ner","sequence":[{"name":"source","struct":[{"name":"from","dtype":"int32"},{"name":"text","dtype":"string"},{"name":"to","dtype":"int32"},{"name":"type","dtype":{"class_label":{"names":{"0":"PRODUCT_NAME","1":"PRODUCT_NAME_IMP","2":"PRODUCT_NO_BRAND","3":"BRAND_NAME","4":"BRAND_NAME_IMP","5":"VERSION","6":"PRODUCT_ADJ","7":"BRAND_ADJ","8":"LOCATION","9":"LOCATION_IMP"}}}}]},{"name":"target","struct":[{"name":"from","dtype":"int32"},{"name":"text","dtype":"string"},{"name":"to","dtype":"int32"},{"name":"type","dtype":{"class_label":{"names":{"0":"PRODUCT_NAME","1":"PRODUCT_NAME_IMP","2":"PRODUCT_NO_BRAND","3":"BRAND_NAME","4":"BRAND_NAME_IMP","5":"VERSION","6":"PRODUCT_ADJ","7":"BRAND_ADJ","8":"LOCATION","9":"LOCATION_IMP"}}}}]}]}]


hub_id: allenai/break_data
license: ["unknown"]
language: ["en"]
config_name: logical-forms
column_names: ["question_id","question_text","decomposition","operators","split","program"]
tags:
["task_categories:text2text-generation","task_ids:open-domain-abstractive-qa","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"question_id","dtype":"string"},{"name":"question_text","dtype":"string"},{"name":"decomposition","dtype":"string"},{"name":"operators","dtype":"string"},{"name":"split","dtype":"string"},{"name":"program","dtype":"string"}]


hub_id: UFRGS/brwac
license: ["unknown"]
language: ["pt"]
config_name: default
column_names: ["doc_id","title","uri","text"]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","size_categories:1M<n<10M","source_datasets:original","language:pt","license:unknown","region:us"]

features:
[{"name":"doc_id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"uri","dtype":"string"},{"name":"text","sequence":[{"name":"paragraphs","sequence":"string"}]}]


hub_id: ryo0634/bsd_ja_en
license: ["cc-by-nc-sa-4.0"]
language: ["en","ja"]
config_name: default
column_names: ["id","tag","title","original_language","no","en_speaker","ja_speaker","en_sentence","ja_sentence"]
tags:
["task_categories:translation","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:translation","source_datasets:original","language:en","language:ja","license:cc-by-nc-sa-4.0","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","region:us","business-conversations-translation","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"tag","dtype":"string"},{"name":"title","dtype":"string"},{"name":"original_language","dtype":"string"},{"name":"no","dtype":"int32"},{"name":"en_speaker","dtype":"string"},{"name":"ja_speaker","dtype":"string"},{"name":"en_sentence","dtype":"string"},{"name":"ja_sentence","dtype":"string"}]


hub_id: community-datasets/bswac
license: ["cc-by-sa-3.0"]
language: ["bs"]
config_name: bswac
column_names: ["sentence"]
features: [{"name":"sentence","dtype":"string"}]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","source_datasets:original","language:bs","license:cc-by-sa-3.0","size_categories:100M<n<1B","region:us"]


hub_id: dataset-org/c3
license: ["other"]
language: ["zh"]
config_name: mixed
column_names: ["documents","document_id","questions"]
tags:
["task_categories:question-answering","task_ids:multiple-choice-qa","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:zh","license:other","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:1904.09679","region:us","croissant"]

features:
[{"name":"documents","sequence":"string"},{"name":"document_id","dtype":"string"},{"name":"questions","sequence":[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"choice","sequence":"string"}]}]


hub_id: legacy-datasets/c4
license: ["odc-by"]
language: ["en"]
config_name: en.noclean
column_names: ["text","timestamp","url"]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:no-annotation","language_creators:found","multilinguality:multilingual","source_datasets:original","language:en","license:odc-by","size_categories:100M<n<1B","arxiv:1910.10683","region:us"]

features:
[{"name":"text","dtype":"string"},{"name":"timestamp","dtype":"string"},{"name":"url","dtype":"string"}]


hub_id: china-ai-law-challenge/cail2018
license: ["unknown"]
language: ["zh"]
config_name: default
tags:
["task_categories:other","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:zh","license:unknown","size_categories:100M<n<1B","parquet","tabular","text","datasets","dask","mlcroissant","arxiv:1807.02478","region:us","judgement-prediction","croissant"]

column_names:
["fact","relevant_articles","accusation","punish_of_money","criminals","death_penalty","imprisonment","life_imprisonment"]

features:
[{"name":"fact","dtype":"string"},{"name":"relevant_articles","sequence":"int32"},{"name":"accusation","sequence":"string"},{"name":"punish_of_money","dtype":"float32"},{"name":"criminals","sequence":"string"},{"name":"death_penalty","dtype":"bool"},{"name":"imprisonment","dtype":"float32"},{"name":"life_imprisonment","dtype":"bool"}]


hub_id: community-datasets/caner
license: ["unknown"]
language: ["ar"]
config_name: default
column_names: ["token","ner_tag"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:ar","license:unknown","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"token","dtype":"string"},{"name":"ner_tag","dtype":{"class_label":{"names":{"0":"Allah","1":"Book","2":"Clan","3":"Crime","4":"Date","5":"Day","6":"Hell","7":"Loc","8":"Meas","9":"Mon","10":"Month","11":"NatOb","12":"Number","13":"O","14":"Org","15":"Para","16":"Pers","17":"Prophet","18":"Rlig","19":"Sect","20":"Time"}}}}]


hub_id: soarescmsa/capes
license: ["unknown"]
language: ["en","pt"]
config_name: en-pt
column_names: ["translation"]
features: [{"name":"translation","dtype":{"translation":{"languages":["en","pt"]}}}]
tags:
["task_categories:translation","annotations_creators:found","language_creators:found","multilinguality:multilingual","source_datasets:original","language:en","language:pt","license:unknown","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","arxiv:1905.01715","region:us","dissertation-abstracts-translation","theses-translation","croissant"]


hub_id: kchawla123/casino
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["chat_logs","participant_info","annotations"]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:dialogue-modeling","annotations_creators:expert-generated","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"chat_logs","list":[{"name":"text","dtype":"string"},{"name":"task_data","struct":[{"name":"data","dtype":"string"},{"name":"issue2youget","struct":[{"name":"Firewood","dtype":"string"},{"name":"Water","dtype":"string"},{"name":"Food","dtype":"string"}]},{"name":"issue2theyget","struct":[{"name":"Firewood","dtype":"string"},{"name":"Water","dtype":"string"},{"name":"Food","dtype":"string"}]}]},{"name":"id","dtype":"string"}]},{"name":"participant_info","struct":[{"name":"mturk_agent_1","struct":[{"name":"value2issue","struct":[{"name":"Low","dtype":"string"},{"name":"Medium","dtype":"string"},{"name":"High","dtype":"string"}]},{"name":"value2reason","struct":[{"name":"Low","dtype":"string"},{"name":"Medium","dtype":"string"},{"name":"High","dtype":"string"}]},{"name":"outcomes","struct":[{"name":"points_scored","dtype":"int32"},{"name":"satisfaction","dtype":"string"},{"name":"opponent_likeness","dtype":"string"}]},{"name":"demographics","struct":[{"name":"age","dtype":"int32"},{"name":"gender","dtype":"string"},{"name":"ethnicity","dtype":"string"},{"name":"education","dtype":"string"}]},{"name":"personality","struct":[{"name":"svo","dtype":"string"},{"name":"big-five","struct":[{"name":"extraversion","dtype":"float32"},{"name":"agreeableness","dtype":"float32"},{"name":"conscientiousness","dtype":"float32"},{"name":"emotional-stability","dtype":"float32"},{"name":"openness-to-experiences","dtype":"float32"}]}]}]},{"name":"mturk_agent_2","struct":[{"name":"value2issue","struct":[{"name":"Low","dtype":"string"},{"name":"Medium","dtype":"string"},{"name":"High","dtype":"string"}]},{"name":"value2reason","struct":[{"name":"Low","dtype":"string"},{"name":"Medium","dtype":"string"},{"name":"High","dtype":"string"}]},{"name":"outcomes","struct":[{"name":"points_scored","dtype":"int32"},{"name":"satisfaction","dtype":"string"},{"name":"opponent_likeness","dtype":"string"}]},{"name":"demographics","struct":[{"name":"age","dtype":"int32"},{"name":"gender","dtype":"string"},{"name":"ethnicity","dtype":"string"},{"name":"education","dtype":"string"}]},{"name":"personality","struct":[{"name":"svo","dtype":"string"},{"name":"big-five","struct":[{"name":"extraversion","dtype":"float32"},{"name":"agreeableness","dtype":"float32"},{"name":"conscientiousness","dtype":"float32"},{"name":"emotional-stability","dtype":"float32"},{"name":"openness-to-experiences","dtype":"float32"}]}]}]}]},{"name":"annotations","list":{"list":"string"}}]


hub_id: community-datasets/catalonia_independence
license: ["cc-by-nc-sa-4.0"]
language: ["ca","es"]
config_name: spanish
column_names: ["id_str","TWEET","LABEL"]
tags:
["task_categories:text-classification","annotations_creators:expert-generated","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:ca","language:es","license:cc-by-nc-sa-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","stance-detection","croissant"]

features:
[{"name":"id_str","dtype":"string"},{"name":"TWEET","dtype":"string"},{"name":"LABEL","dtype":{"class_label":{"names":{"0":"AGAINST","1":"FAVOR","2":"NEUTRAL"}}}}]


hub_id: microsoft/cats_vs_dogs
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["image","labels"]
tags:
["task_categories:image-classification","task_ids:multi-class-image-classification","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","size_categories:10K<n<100K","source_datasets:original","language:en","license:unknown","region:us"]

features:
[{"name":"image","dtype":"image"},{"name":"labels","dtype":{"class_label":{"names":{"0":"cat","1":"dog"}}}}]


hub_id: community-datasets/cawac
license: ["cc-by-sa-3.0"]
language: ["ca"]
config_name: default
column_names: ["sentence"]
features: [{"name":"sentence","dtype":"string"}]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","source_datasets:original","language:ca","license:cc-by-sa-3.0","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: cam-cst/cbt
license: ["gfdl"]
language: ["en"]
config_name: raw
column_names: ["title","content"]
features: [{"name":"title","dtype":"string"},{"name":"content","dtype":"string"}]
tags:
["task_categories:other","task_categories:question-answering","task_ids:multiple-choice-qa","annotations_creators:machine-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:gfdl","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","arxiv:1511.02301","region:us","croissant"]


hub_id: statmt/cc100
license: ["unknown"]
config_name: ka
column_names: ["id","text"]
features: [{"name":"id","dtype":"string"},{"name":"text","dtype":"string"}]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:no-annotation","language_creators:found","multilinguality:multilingual","size_categories:10M<n<100M","size_categories:1M<n<10M","source_datasets:original","language:af","language:am","language:ar","language:as","language:az","language:be","language:bg","language:bn","language:br","language:bs","language:ca","language:cs","language:cy","language:da","language:de","language:el","language:en","language:eo","language:es","language:et","language:eu","language:fa","language:ff","language:fi","language:fr","language:fy","language:ga","language:gd","language:gl","language:gn","language:gu","language:ha","language:he","language:hi","language:hr","language:ht","language:hu","language:hy","language:id","language:ig","language:is","language:it","language:ja","language:jv","language:ka","language:kk","language:km","language:kn","language:ko","language:ku","language:ky","language:la","language:lg","language:li","language:ln","language:lo","language:lt","language:lv","language:mg","language:mk","language:ml","language:mn","language:mr","language:ms","language:my","language:ne","language:nl","language:no","language:ns","language:om","language:or","language:pa","language:pl","language:ps","language:pt","language:qu","language:rm","language:ro","language:ru","language:sa","language:sc","language:sd","language:si","language:sk","language:sl","language:so","language:sq","language:sr","language:ss","language:su","language:sv","language:sw","language:ta","language:te","language:th","language:tl","language:tn","language:tr","language:ug","language:uk","language:ur","language:uz","language:vi","language:wo","language:xh","language:yi","language:yo","language:zh","language:zu","license:unknown","arxiv:1911.02116","arxiv:1911.00359","region:us"]

language:
["af","am","ar","as","az","be","bg","bn","br","bs","ca","cs","cy","da","de","el","en","eo","es","et","eu","fa","ff","fi","fr","fy","ga","gd","gl","gn","gu","ha","he","hi","hr","ht","hu","hy","id","ig","is","it","ja","jv","ka","kk","km","kn","ko","ku","ky","la","lg","li","ln","lo","lt","lv","mg","mk","ml","mn","mr","ms","my","ne","nl","no","ns","om","or","pa","pl","ps","pt","qu","rm","ro","ru","sa","sc","sd","si","sk","sl","so","sq","sr","ss","su","sv","sw","ta","te","th","tl","tn","tr","ug","uk","ur","uz","vi","wo","xh","yi","yo","zh","zu"]


hub_id: vblagoje/cc_news
license: ["unknown"]
language: ["en"]
config_name: plain_text
column_names: ["title","text","domain","date","description","url","image_url"]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"domain","dtype":"string"},{"name":"date","dtype":"string"},{"name":"description","dtype":"string"},{"name":"url","dtype":"string"},{"name":"image_url","dtype":"string"}]


hub_id: ahelk/ccaligned_multilingual
license: ["unknown"]
config_name: sentences-ak_GH
column_names: ["translation","LASER_similarity"]
tags:
["task_categories:other","annotations_creators:no-annotation","language_creators:found","multilinguality:translation","source_datasets:original","language:af","language:ak","language:am","language:ar","language:as","language:ay","language:az","language:be","language:bg","language:bm","language:bn","language:br","language:bs","language:ca","language:ceb","language:ckb","language:cs","language:cy","language:de","language:dv","language:el","language:eo","language:es","language:fa","language:ff","language:fi","language:fo","language:fr","language:fy","language:ga","language:gl","language:gn","language:gu","language:he","language:hi","language:hr","language:hu","language:id","language:ig","language:is","language:it","language:iu","language:ja","language:ka","language:kac","language:kg","language:kk","language:km","language:kn","language:ko","language:ku","language:ky","language:la","language:lg","language:li","language:ln","language:lo","language:lt","language:lv","language:mg","language:mi","language:mk","language:ml","language:mn","language:mr","language:ms","language:mt","language:my","language:ne","language:nl","language:no","language:nso","language:ny","language:om","language:or","language:pa","language:pl","language:ps","language:pt","language:rm","language:ro","language:ru","language:rw","language:sc","language:sd","language:se","language:shn","language:si","language:sk","language:sl","language:sn","language:so","language:sq","language:sr","language:ss","language:st","language:su","language:sv","language:sw","language:syc","language:szl","language:ta","language:te","language:tg","language:th","language:ti","language:tl","language:tn","language:tr","language:ts","language:tt","language:ug","language:uk","language:ur","language:uz","language:ve","language:vi","language:war","language:wo","language:xh","language:yi","language:yo","language:zgh","language:zh","language:zu","language:zza","license:unknown","size_categories:n<1K","region:us"]

language:
["af","ak","am","ar","as","ay","az","be","bg","bm","bn","br","bs","ca","ceb","ckb","cs","cy","de","dv","el","eo","es","fa","ff","fi","fo","fr","fy","ga","gl","gn","gu","he","hi","hr","hu","id","ig","is","it","iu","ja","ka","kac","kg","kk","km","kn","ko","ku","ky","la","lg","li","ln","lo","lt","lv","mg","mi","mk","ml","mn","mr","ms","mt","my","ne","nl","no","nso","ny","om","or","pa","pl","ps","pt","rm","ro","ru","rw","sc","sd","se","shn","si","sk","sl","sn","so","sq","sr","ss","st","su","sv","sw","syc","szl","ta","te","tg","th","ti","tl","tn","tr","ts","tt","ug","uk","ur","uz","ve","vi","war","wo","xh","yi","yo","zgh","zh","zu","zza"]

features:
[{"name":"translation","dtype":{"translation":{"languages":["en_XX","ak_GH"]}}},{"name":"LASER_similarity","dtype":"float32"}]


hub_id: community-datasets/cdsc
license: ["cc-by-nc-sa-4.0"]
language: ["pl"]
config_name: cdsc-r
column_names: ["pair_ID","sentence_A","sentence_B","relatedness_score"]
tags:
["task_categories:other","annotations_creators:expert-generated","language_creators:other","multilinguality:monolingual","source_datasets:original","language:pl","license:cc-by-nc-sa-4.0","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","sentences entailment and relatedness","croissant"]

features:
[{"name":"pair_ID","dtype":"int32"},{"name":"sentence_A","dtype":"string"},{"name":"sentence_B","dtype":"string"},{"name":"relatedness_score","dtype":"float32"}]


hub_id: ptaszynski/cdt
license: ["bsd-3-clause"]
language: ["pl"]
config_name: default
column_names: ["sentence","target"]
tags:
["task_categories:text-classification","task_ids:sentiment-classification","annotations_creators:expert-generated","language_creators:other","multilinguality:monolingual","source_datasets:original","language:pl","license:bsd-3-clause","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"sentence","dtype":"string"},{"name":"target","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}}]


hub_id: sagteam/cedr_v1
license: ["apache-2.0"]
language: ["ru"]
config_name: main
column_names: ["text","labels","source"]
tags:
["task_categories:text-classification","task_ids:sentiment-classification","task_ids:multi-label-classification","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:ru","license:apache-2.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","emotion-classification","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"labels","sequence":{"class_label":{"names":{"0":"joy","1":"sadness","2":"surprise","3":"fear","4":"anger"}}}},{"name":"source","dtype":"string"}]


hub_id: google-research-datasets/cfq
license: ["cc-by-4.0"]
language: ["en"]
config_name: random_split
column_names: ["question","query"]
features: [{"name":"question","dtype":"string"},{"name":"query","dtype":"string"}]
tags:
["task_categories:question-answering","task_categories:other","task_ids:open-domain-qa","task_ids:closed-domain-qa","annotations_creators:no-annotation","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","arxiv:1912.09713","region:us","compositionality","croissant"]


hub_id: shiyue/chr_en
license: ["other"]
language: ["chr","en"]
config_name: parallel_raw
column_names: ["line_number","sentence_pair","text_title","speaker","date","type","dialect"]
tags:
["task_categories:fill-mask","task_categories:text-generation","task_categories:translation","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:expert-generated","annotations_creators:found","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","multilinguality:multilingual","multilinguality:translation","source_datasets:original","language:chr","language:en","license:other","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","arxiv:2010.04791","region:us","croissant"]

features:
[{"name":"line_number","dtype":"string"},{"name":"sentence_pair","dtype":{"translation":{"languages":["en","chr"]}}},{"name":"text_title","dtype":"string"},{"name":"speaker","dtype":"string"},{"name":"date","dtype":"int32"},{"name":"type","dtype":"string"},{"name":"dialect","dtype":"string"}]


hub_id: uoft-cs/cifar10
license: ["unknown"]
language: ["en"]
config_name: plain_text
column_names: ["img","label"]
tags:
["task_categories:image-classification","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:extended|other-80-Million-Tiny-Images","language:en","license:unknown","size_categories:10M<n<100M","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"img","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"airplane","1":"automobile","2":"bird","3":"cat","4":"deer","5":"dog","6":"frog","7":"horse","8":"ship","9":"truck"}}}}]


hub_id: uoft-cs/cifar100
license: ["unknown"]
language: ["en"]
config_name: cifar100
column_names: ["img","fine_label","coarse_label"]
tags:
["task_categories:image-classification","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:extended|other-80-Million-Tiny-Images","language:en","license:unknown","size_categories:10M<n<100M","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"img","dtype":"image"},{"name":"fine_label","dtype":{"class_label":{"names":{"0":"apple","1":"aquarium_fish","2":"baby","3":"bear","4":"beaver","5":"bed","6":"bee","7":"beetle","8":"bicycle","9":"bottle","10":"bowl","11":"boy","12":"bridge","13":"bus","14":"butterfly","15":"camel","16":"can","17":"castle","18":"caterpillar","19":"cattle","20":"chair","21":"chimpanzee","22":"clock","23":"cloud","24":"cockroach","25":"couch","26":"cra","27":"crocodile","28":"cup","29":"dinosaur","30":"dolphin","31":"elephant","32":"flatfish","33":"forest","34":"fox","35":"girl","36":"hamster","37":"house","38":"kangaroo","39":"keyboard","40":"lamp","41":"lawn_mower","42":"leopard","43":"lion","44":"lizard","45":"lobster","46":"man","47":"maple_tree","48":"motorcycle","49":"mountain","50":"mouse","51":"mushroom","52":"oak_tree","53":"orange","54":"orchid","55":"otter","56":"palm_tree","57":"pear","58":"pickup_truck","59":"pine_tree","60":"plain","61":"plate","62":"poppy","63":"porcupine","64":"possum","65":"rabbit","66":"raccoon","67":"ray","68":"road","69":"rocket","70":"rose","71":"sea","72":"seal","73":"shark","74":"shrew","75":"skunk","76":"skyscraper","77":"snail","78":"snake","79":"spider","80":"squirrel","81":"streetcar","82":"sunflower","83":"sweet_pepper","84":"table","85":"tank","86":"telephone","87":"television","88":"tiger","89":"tractor","90":"train","91":"trout","92":"tulip","93":"turtle","94":"wardrobe","95":"whale","96":"willow_tree","97":"wolf","98":"woman","99":"worm"}}}},{"name":"coarse_label","dtype":{"class_label":{"names":{"0":"aquatic_mammals","1":"fish","2":"flowers","3":"food_containers","4":"fruit_and_vegetables","5":"household_electrical_devices","6":"household_furniture","7":"insects","8":"large_carnivores","9":"large_man-made_outdoor_things","10":"large_natural_outdoor_scenes","11":"large_omnivores_and_herbivores","12":"medium_mammals","13":"non-insect_invertebrates","14":"people","15":"reptiles","16":"small_mammals","17":"trees","18":"vehicles_1","19":"vehicles_2"}}}}]


hub_id: google-research-datasets/circa
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["context","question-X","canquestion-X","answer-Y","judgements","goldstandard1","goldstandard2"]
tags:
["task_categories:text-classification","task_ids:multi-class-classification","annotations_creators:expert-generated","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:2010.03450","region:us","question-answer-pair-classification","croissant"]

features:
[{"name":"context","dtype":"string"},{"name":"question-X","dtype":"string"},{"name":"canquestion-X","dtype":"string"},{"name":"answer-Y","dtype":"string"},{"name":"judgements","dtype":"string"},{"name":"goldstandard1","dtype":{"class_label":{"names":{"0":"Yes","1":"No","2":"In the middle, neither yes nor no","3":"Probably yes / sometimes yes","4":"Probably no","5":"Yes, subject to some conditions","6":"Other","7":"I am not sure how X will interpret Y\u2019s answer"}}}},{"name":"goldstandard2","dtype":{"class_label":{"names":{"0":"Yes","1":"No","2":"In the middle, neither yes nor no","3":"Yes, subject to some conditions","4":"Other"}}}}]


hub_id: google/civil_comments
license: ["cc0-1.0"]
language: ["en"]
config_name: default
tags:
["task_categories:text-classification","task_ids:multi-label-classification","language:en","license:cc0-1.0","size_categories:100M<n<1B","parquet","tabular","text","datasets","dask","mlcroissant","arxiv:1903.04561","region:us","toxic-comment-classification","croissant"]

column_names:
["text","toxicity","severe_toxicity","obscene","threat","insult","identity_attack","sexual_explicit"]

features:
[{"name":"text","dtype":"string"},{"name":"toxicity","dtype":"float32"},{"name":"severe_toxicity","dtype":"float32"},{"name":"obscene","dtype":"float32"},{"name":"threat","dtype":"float32"},{"name":"insult","dtype":"float32"},{"name":"identity_attack","dtype":"float32"},{"name":"sexual_explicit","dtype":"float32"}]


hub_id: community-datasets/clickbait_news_bg
license: ["unknown"]
language: ["bg"]
config_name: default
tags:
["task_categories:text-classification","task_ids:fact-checking","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:bg","license:unknown","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["fake_news_score","click_bait_score","content_title","content_url","content_published_time","content"]

features:
[{"name":"fake_news_score","dtype":{"class_label":{"names":{"0":"legitimate","1":"fake"}}}},{"name":"click_bait_score","dtype":{"class_label":{"names":{"0":"normal","1":"clickbait"}}}},{"name":"content_title","dtype":"string"},{"name":"content_url","dtype":"string"},{"name":"content_published_time","dtype":"string"},{"name":"content","dtype":"string"}]


hub_id: tdiggelm/climate_fever
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["claim_id","claim","claim_label","evidences"]
tags:
["task_categories:text-classification","task_categories:text-retrieval","task_ids:text-scoring","task_ids:fact-checking","task_ids:fact-checking-retrieval","task_ids:semantic-similarity-scoring","task_ids:multi-input-text-classification","annotations_creators:crowdsourced","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:extended|wikipedia","source_datasets:original","language:en","license:unknown","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:2012.00614","region:us","croissant"]

features:
[{"name":"claim_id","dtype":"string"},{"name":"claim","dtype":"string"},{"name":"claim_label","dtype":{"class_label":{"names":{"0":"SUPPORTS","1":"REFUTES","2":"NOT_ENOUGH_INFO","3":"DISPUTED"}}}},{"name":"evidences","list":[{"name":"evidence_id","dtype":"string"},{"name":"evidence_label","dtype":{"class_label":{"names":{"0":"SUPPORTS","1":"REFUTES","2":"NOT_ENOUGH_INFO"}}}},{"name":"article","dtype":"string"},{"name":"evidence","dtype":"string"},{"name":"entropy","dtype":"float32"},{"name":"votes","list":"string"}]}]


hub_id: clinc/clinc_oos
license: ["cc-by-3.0"]
language: ["en"]
config_name: small
column_names: ["text","intent"]
tags:
["task_categories:text-classification","task_ids:intent-classification","annotations_creators:expert-generated","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-3.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"intent","dtype":{"class_label":{"names":{"0":"restaurant_reviews","1":"nutrition_info","2":"account_blocked","3":"oil_change_how","4":"time","5":"weather","6":"redeem_rewards","7":"interest_rate","8":"gas_type","9":"accept_reservations","10":"smart_home","11":"user_name","12":"report_lost_card","13":"repeat","14":"whisper_mode","15":"what_are_your_hobbies","16":"order","17":"jump_start","18":"schedule_meeting","19":"meeting_schedule","20":"freeze_account","21":"what_song","22":"meaning_of_life","23":"restaurant_reservation","24":"traffic","25":"make_call","26":"text","27":"bill_balance","28":"improve_credit_score","29":"change_language","30":"no","31":"measurement_conversion","32":"timer","33":"flip_coin","34":"do_you_have_pets","35":"balance","36":"tell_joke","37":"last_maintenance","38":"exchange_rate","39":"uber","40":"car_rental","41":"credit_limit","42":"oos","43":"shopping_list","44":"expiration_date","45":"routing","46":"meal_suggestion","47":"tire_change","48":"todo_list","49":"card_declined","50":"rewards_balance","51":"change_accent","52":"vaccines","53":"reminder_update","54":"food_last","55":"change_ai_name","56":"bill_due","57":"who_do_you_work_for","58":"share_location","59":"international_visa","60":"calendar","61":"translate","62":"carry_on","63":"book_flight","64":"insurance_change","65":"todo_list_update","66":"timezone","67":"cancel_reservation","68":"transactions","69":"credit_score","70":"report_fraud","71":"spending_history","72":"directions","73":"spelling","74":"insurance","75":"what_is_your_name","76":"reminder","77":"where_are_you_from","78":"distance","79":"payday","80":"flight_status","81":"find_phone","82":"greeting","83":"alarm","84":"order_status","85":"confirm_reservation","86":"cook_time","87":"damaged_card","88":"reset_settings","89":"pin_change","90":"replacement_card_duration","91":"new_card","92":"roll_dice","93":"income","94":"taxes","95":"date","96":"who_made_you","97":"pto_request","98":"tire_pressure","99":"how_old_are_you","100":"rollover_401k","101":"pto_request_status","102":"how_busy","103":"application_status","104":"recipe","105":"calendar_update","106":"play_music","107":"yes","108":"direct_deposit","109":"credit_limit_change","110":"gas","111":"pay_bill","112":"ingredients_list","113":"lost_luggage","114":"goodbye","115":"what_can_i_ask_you","116":"book_hotel","117":"are_you_a_bot","118":"next_song","119":"change_speed","120":"plug_type","121":"maybe","122":"w2","123":"oil_change_when","124":"thank_you","125":"shopping_list_update","126":"pto_balance","127":"order_checks","128":"travel_alert","129":"fun_fact","130":"sync_device","131":"schedule_maintenance","132":"apr","133":"transfer","134":"ingredient_substitution","135":"calories","136":"current_location","137":"international_fees","138":"calculator","139":"definition","140":"next_holiday","141":"update_playlist","142":"mpg","143":"min_payment","144":"change_user_name","145":"restaurant_suggestion","146":"travel_notification","147":"cancel","148":"pto_used","149":"travel_suggestion","150":"change_volume"}}}}]


hub_id: clue/clue
license: ["unknown"]
language: ["zh"]
config_name: tnews
column_names: ["sentence","label","idx"]
tags:
["task_categories:text-classification","task_categories:multiple-choice","task_ids:topic-classification","task_ids:semantic-similarity-scoring","task_ids:natural-language-inference","task_ids:multiple-choice-qa","annotations_creators:other","language_creators:other","multilinguality:monolingual","source_datasets:original","language:zh","license:unknown","size_categories:100M<n<1B","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:2004.05986","region:us","coreference-nli","qa-nli","croissant"]

features:
[{"name":"sentence","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"100","1":"101","2":"102","3":"103","4":"104","5":"106","6":"107","7":"108","8":"109","9":"110","10":"112","11":"113","12":"114","13":"115","14":"116"}}}},{"name":"idx","dtype":"int32"}]


hub_id: hfl/cmrc2018
license: ["cc-by-sa-4.0"]
language: ["zh"]
config_name: default
column_names: ["id","context","question","answers"]
tags:
["task_categories:question-answering","task_ids:extractive-qa","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","size_categories:10K<n<100K","source_datasets:original","language:zh","license:cc-by-sa-4.0","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answers","sequence":[{"name":"text","dtype":"string"},{"name":"answer_start","dtype":"int32"}]}]


hub_id: festvox/cmu_hinglish_dog
license: ["cc-by-sa-3.0","gfdl"]
language: ["en","hi"]
config_name: default
tags:
["task_categories:translation","annotations_creators:machine-generated","language_creators:crowdsourced","multilinguality:multilingual","multilinguality:translation","source_datasets:original","language:en","language:hi","license:cc-by-sa-3.0","license:gfdl","size_categories:1M<n<10M","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:1809.07358","region:us","croissant"]

column_names:
["date","docIdx","translation","uid","utcTimestamp","rating","status","uid1LogInTime","uid1LogOutTime","uid1response","uid2response","user2_id","whoSawDoc","wikiDocumentIdx"]

features:
[{"name":"date","dtype":"string"},{"name":"docIdx","dtype":"int64"},{"name":"translation","dtype":{"translation":{"languages":["en","hi_en"]}}},{"name":"uid","dtype":"string"},{"name":"utcTimestamp","dtype":"string"},{"name":"rating","dtype":"int64"},{"name":"status","dtype":"int64"},{"name":"uid1LogInTime","dtype":"string"},{"name":"uid1LogOutTime","dtype":"string"},{"name":"uid1response","struct":[{"name":"response","sequence":"int64"},{"name":"type","dtype":"string"}]},{"name":"uid2response","struct":[{"name":"response","sequence":"int64"},{"name":"type","dtype":"string"}]},{"name":"user2_id","dtype":"string"},{"name":"whoSawDoc","sequence":"string"},{"name":"wikiDocumentIdx","dtype":"int64"}]


hub_id: abisee/cnn_dailymail
license: ["apache-2.0"]
language: ["en"]
config_name: 3.0.0
column_names: ["article","highlights","id"]
tags:
["task_categories:summarization","task_ids:news-articles-summarization","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:apache-2.0","size_categories:100M<n<1B","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"article","dtype":"string"},{"name":"highlights","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: google-research-datasets/coached_conv_pref
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: coached_conv_pref
column_names: ["conversationId","utterances"]
tags:
["task_categories:other","task_categories:text-generation","task_categories:fill-mask","task_categories:token-classification","task_ids:dialogue-modeling","task_ids:parsing","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-sa-4.0","size_categories:n<1K","region:us","Conversational Recommendation"]

features:
[{"name":"conversationId","dtype":"string"},{"name":"utterances","sequence":[{"name":"index","dtype":"int32"},{"name":"speaker","dtype":{"class_label":{"names":{"0":"USER","1":"ASSISTANT"}}}},{"name":"text","dtype":"string"},{"name":"segments","sequence":[{"name":"startIndex","dtype":"int32"},{"name":"endIndex","dtype":"int32"},{"name":"text","dtype":"string"},{"name":"annotations","sequence":[{"name":"annotationType","dtype":{"class_label":{"names":{"0":"ENTITY_NAME","1":"ENTITY_PREFERENCE","2":"ENTITY_DESCRIPTION","3":"ENTITY_OTHER"}}}},{"name":"entityType","dtype":{"class_label":{"names":{"0":"MOVIE_GENRE_OR_CATEGORY","1":"MOVIE_OR_SERIES","2":"PERSON","3":"SOMETHING_ELSE"}}}}]}]}]}]


hub_id: google-research-datasets/coarse_discourse
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
tags:
["task_categories:text-classification","task_ids:multi-class-classification","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["title","is_self_post","subreddit","url","majority_link","is_first_post","majority_type","id_post","post_depth","in_reply_to","annotations"]

features:
[{"name":"title","dtype":"string"},{"name":"is_self_post","dtype":"bool"},{"name":"subreddit","dtype":"string"},{"name":"url","dtype":"string"},{"name":"majority_link","dtype":"string"},{"name":"is_first_post","dtype":"bool"},{"name":"majority_type","dtype":"string"},{"name":"id_post","dtype":"string"},{"name":"post_depth","dtype":"int32"},{"name":"in_reply_to","dtype":"string"},{"name":"annotations","sequence":[{"name":"annotator","dtype":"string"},{"name":"link_to_post","dtype":"string"},{"name":"main_type","dtype":"string"}]}]


hub_id: jaredfern/codah
license: ["odc-by"]
language: ["en"]
config_name: fold_4
column_names: ["id","question_category","question_propmt","candidate_answers","correct_answer_idx"]
tags:
["task_categories:question-answering","task_ids:multiple-choice-qa","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:odc-by","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:1904.04365","region:us","croissant"]

features:
[{"name":"id","dtype":"int32"},{"name":"question_category","dtype":{"class_label":{"names":{"0":"Idioms","1":"Reference","2":"Polysemy","3":"Negation","4":"Quantitative","5":"Others"}}}},{"name":"question_propmt","dtype":"string"},{"name":"candidate_answers","sequence":"string"},{"name":"correct_answer_idx","dtype":"int32"}]


hub_id: code-search-net/code_search_net
license: ["other"]
language: ["code"]
config_name: php
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:no-annotation","language_creators:machine-generated","multilinguality:multilingual","size_categories:100K<n<1M","size_categories:10K<n<100K","size_categories:1M<n<10M","source_datasets:original","language:code","license:other","arxiv:1909.09436","region:us"]

column_names:
["repository_name","func_path_in_repository","func_name","whole_func_string","language","func_code_string","func_code_tokens","func_documentation_string","func_documentation_tokens","split_name","func_code_url"]

features:
[{"name":"repository_name","dtype":"string"},{"name":"func_path_in_repository","dtype":"string"},{"name":"func_name","dtype":"string"},{"name":"whole_func_string","dtype":"string"},{"name":"language","dtype":"string"},{"name":"func_code_string","dtype":"string"},{"name":"func_code_tokens","sequence":"string"},{"name":"func_documentation_string","dtype":"string"},{"name":"func_documentation_tokens","sequence":"string"},{"name":"split_name","dtype":"string"},{"name":"func_code_url","dtype":"string"}]


hub_id: google/code_x_glue_cc_clone_detection_big_clone_bench
license: ["c-uda"]
language: ["code"]
config_name: default
column_names: ["id","id1","id2","func1","func2","label"]
tags:
["task_categories:text-classification","task_ids:semantic-similarity-classification","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:code","license:c-uda","size_categories:100M<n<1B","parquet","tabular","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"int32"},{"name":"id1","dtype":"int32"},{"name":"id2","dtype":"int32"},{"name":"func1","dtype":"string"},{"name":"func2","dtype":"string"},{"name":"label","dtype":"bool"}]


hub_id: google/code_x_glue_cc_clone_detection_poj104
license: ["c-uda"]
language: ["code"]
config_name: default
column_names: ["id","code","label"]
features: [{"name":"id","dtype":"int32"},{"name":"code","dtype":"string"},{"name":"label","dtype":"string"}]
tags:
["task_categories:text-retrieval","task_ids:document-retrieval","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:code","license:c-uda","size_categories:10M<n<100M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: google/code_x_glue_cc_cloze_testing_all
license: ["c-uda"]
language: ["code"]
config_name: ruby
column_names: ["id","idx","nl_tokens","pl_tokens"]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:slot-filling","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:code","license:c-uda","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"int32"},{"name":"idx","dtype":"string"},{"name":"nl_tokens","sequence":"string"},{"name":"pl_tokens","sequence":"string"}]


hub_id: google/code_x_glue_cc_cloze_testing_maxmin
license: ["c-uda"]
language: ["code"]
config_name: ruby
column_names: ["id","idx","nl_tokens","pl_tokens"]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:slot-filling","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:code","license:c-uda","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"int32"},{"name":"idx","dtype":"string"},{"name":"nl_tokens","sequence":"string"},{"name":"pl_tokens","sequence":"string"}]


hub_id: google/code_x_glue_cc_code_completion_line
license: ["c-uda"]
language: ["code"]
config_name: python
column_names: ["id","input","gt"]
features: [{"name":"id","dtype":"int32"},{"name":"input","dtype":"string"},{"name":"gt","dtype":"string"}]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:slot-filling","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:code","license:c-uda","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: google/code_x_glue_cc_code_completion_token
license: ["c-uda"]
language: ["code"]
config_name: python
column_names: ["id","path","code"]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:code","license:c-uda","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"int32"},{"name":"path","dtype":"string"},{"name":"code","sequence":"string"}]


hub_id: google/code_x_glue_cc_code_refinement
license: ["c-uda"]
language: ["code"]
config_name: small
column_names: ["id","buggy","fixed"]
features: [{"name":"id","dtype":"int32"},{"name":"buggy","dtype":"string"},{"name":"fixed","dtype":"string"}]
tags:
["task_categories:text2text-generation","annotations_creators:expert-generated","language_creators:found","multilinguality:other-programming-languages","source_datasets:original","language:code","license:c-uda","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","arxiv:2102.04664","arxiv:1812.08693","region:us","debugging","croissant"]


hub_id: google/code_x_glue_cc_code_to_code_trans
license: ["c-uda"]
language: ["code"]
config_name: default
column_names: ["id","java","cs"]
features: [{"name":"id","dtype":"int32"},{"name":"java","dtype":"string"},{"name":"cs","dtype":"string"}]
tags:
["task_categories:translation","annotations_creators:expert-generated","language_creators:found","multilinguality:other-programming-languages","source_datasets:original","language:code","license:c-uda","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","arxiv:2102.04664","region:us","code-to-code","croissant"]


hub_id: google/code_x_glue_cc_defect_detection
license: ["c-uda"]
language: ["code"]
config_name: default
column_names: ["id","func","target","project","commit_id"]
tags:
["task_categories:text-classification","task_ids:multi-class-classification","annotations_creators:found","language_creators:found","multilinguality:other-programming-languages","source_datasets:original","language:code","license:c-uda","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"int32"},{"name":"func","dtype":"string"},{"name":"target","dtype":"bool"},{"name":"project","dtype":"string"},{"name":"commit_id","dtype":"string"}]


hub_id: google/code_x_glue_ct_code_to_text
license: ["c-uda"]
language: ["code","en"]
config_name: ruby
tags:
["task_categories:translation","annotations_creators:found","language_creators:found","multilinguality:other-programming-languages","source_datasets:original","language:code","language:en","license:c-uda","size_categories:100M<n<1B","parquet","text","datasets","dask","mlcroissant","region:us","code-to-text","croissant"]

column_names:
["id","repo","path","func_name","original_string","language","code","code_tokens","docstring","docstring_tokens","sha","url"]

features:
[{"name":"id","dtype":"int32"},{"name":"repo","dtype":"string"},{"name":"path","dtype":"string"},{"name":"func_name","dtype":"string"},{"name":"original_string","dtype":"string"},{"name":"language","dtype":"string"},{"name":"code","dtype":"string"},{"name":"code_tokens","sequence":"string"},{"name":"docstring","dtype":"string"},{"name":"docstring_tokens","sequence":"string"},{"name":"sha","dtype":"string"},{"name":"url","dtype":"string"}]


hub_id: google/code_x_glue_tc_nl_code_search_adv
license: ["c-uda"]
language: ["code","en"]
config_name: default
tags:
["task_categories:text-retrieval","task_ids:document-retrieval","annotations_creators:found","language_creators:found","multilinguality:other-programming-languages","source_datasets:original","language:code","language:en","license:c-uda","size_categories:10M<n<100M","parquet","tabular","text","datasets","dask","mlcroissant","arxiv:2102.04664","region:us","croissant"]

column_names:
["id","repo","path","func_name","original_string","language","code","code_tokens","docstring","docstring_tokens","sha","url","docstring_summary","parameters","return_statement","argument_list","identifier","nwo","score"]

features:
[{"name":"id","dtype":"int32"},{"name":"repo","dtype":"string"},{"name":"path","dtype":"string"},{"name":"func_name","dtype":"string"},{"name":"original_string","dtype":"string"},{"name":"language","dtype":"string"},{"name":"code","dtype":"string"},{"name":"code_tokens","sequence":"string"},{"name":"docstring","dtype":"string"},{"name":"docstring_tokens","sequence":"string"},{"name":"sha","dtype":"string"},{"name":"url","dtype":"string"},{"name":"docstring_summary","dtype":"string"},{"name":"parameters","dtype":"string"},{"name":"return_statement","dtype":"string"},{"name":"argument_list","dtype":"string"},{"name":"identifier","dtype":"string"},{"name":"nwo","dtype":"string"},{"name":"score","dtype":"float32"}]


hub_id: google/code_x_glue_tc_text_to_code
license: ["c-uda"]
language: ["code","en"]
config_name: default
column_names: ["id","nl","code"]
features: [{"name":"id","dtype":"int32"},{"name":"nl","dtype":"string"},{"name":"code","dtype":"string"}]
tags:
["task_categories:translation","annotations_creators:found","language_creators:found","multilinguality:other-programming-languages","source_datasets:original","language:code","language:en","license:c-uda","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","text-to-code","croissant"]


hub_id: google/code_x_glue_tt_text_to_text
license: ["c-uda"]
language: ["da","en","lv","nb","zh"]
config_name: zh_en
column_names: ["id","source","target"]
tags:
["task_categories:translation","annotations_creators:found","language_creators:found","multilinguality:multilingual","source_datasets:original","language:da","language:en","language:lv","language:nb","language:zh","license:c-uda","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","arxiv:2102.04664","region:us","code-documentation-translation","croissant"]

features:
[{"name":"id","dtype":"int32"},{"name":"source","dtype":"string"},{"name":"target","dtype":"string"}]


hub_id: iamrishiraj/com_qa
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["cluster_id","questions","answers"]
tags:
["task_categories:question-answering","language:en","license:unknown","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:1809.09528","region:us","croissant"]

features:
[{"name":"cluster_id","dtype":"string"},{"name":"questions","sequence":"string"},{"name":"answers","sequence":"string"}]


hub_id: allenai/common_gen
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["concept_set_idx","concepts","target"]
tags:
["task_categories:text2text-generation","annotations_creators:crowdsourced","language_creators:found","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:mit","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:1911.03705","region:us","concepts-to-text","croissant"]

features:
[{"name":"concept_set_idx","dtype":"int32"},{"name":"concepts","sequence":"string"},{"name":"target","dtype":"string"}]


hub_id: speechbrain/common_language
license: ["cc-by-4.0"]
config_name: full
column_names: ["client_id","path","sentence","age","gender","language"]
tags:
["task_categories:audio-classification","task_ids:speaker-identification","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:multilingual","size_categories:100K<n<1M","source_datasets:extended|common_voice","language:ar","language:br","language:ca","language:cnh","language:cs","language:cv","language:cy","language:de","language:dv","language:el","language:en","language:eo","language:es","language:et","language:eu","language:fa","language:fr","language:fy","language:ia","language:id","language:it","language:ja","language:ka","language:kab","language:ky","language:lv","language:mn","language:mt","language:nl","language:pl","language:pt","language:rm","language:ro","language:ru","language:rw","language:sah","language:sl","language:sv","language:ta","language:tr","language:tt","language:uk","language:zh","license:cc-by-4.0","region:us"]

language:
["ar","br","ca","cnh","cs","cv","cy","de","dv","el","en","eo","es","et","eu","fa","fr","fy","ia","id","it","ja","ka","kab","ky","lv","mn","mt","nl","pl","pt","rm","ro","ru","rw","sah","sl","sv","ta","tr","tt","uk","zh"]

features:
[{"name":"client_id","dtype":"string"},{"name":"path","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"age","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"language","dtype":{"class_label":{"names":{"0":"Arabic","1":"Basque","2":"Breton","3":"Catalan","4":"Chinese_China","5":"Chinese_Hongkong","6":"Chinese_Taiwan","7":"Chuvash","8":"Czech","9":"Dhivehi","10":"Dutch","11":"English","12":"Esperanto","13":"Estonian","14":"French","15":"Frisian","16":"Georgian","17":"German","18":"Greek","19":"Hakha_Chin","20":"Indonesian","21":"Interlingua","22":"Italian","23":"Japanese","24":"Kabyle","25":"Kinyarwanda","26":"Kyrgyz","27":"Latvian","28":"Maltese","29":"Mangolian","30":"Persian","31":"Polish","32":"Portuguese","33":"Romanian","34":"Romansh_Sursilvan","35":"Russian","36":"Sakha","37":"Slovenian","38":"Spanish","39":"Swedish","40":"Tamil","41":"Tatar","42":"Turkish","43":"Ukranian","44":"Welsh"}}}}]


hub_id: legacy-datasets/common_voice
license: ["cc0-1.0"]
config_name: zh-TW
tags:
["task_categories:automatic-speech-recognition","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:multilingual","size_categories:100K<n<1M","size_categories:10K<n<100K","size_categories:1K<n<10K","size_categories:n<1K","source_datasets:extended|common_voice","language:ab","language:ar","language:as","language:br","language:ca","language:cnh","language:cs","language:cv","language:cy","language:de","language:dv","language:el","language:en","language:eo","language:es","language:et","language:eu","language:fa","language:fi","language:fr","language:fy","language:ga","language:hi","language:hsb","language:hu","language:ia","language:id","language:it","language:ja","language:ka","language:kab","language:ky","language:lg","language:lt","language:lv","language:mn","language:mt","language:nl","language:or","language:pa","language:pl","language:pt","language:rm","language:ro","language:ru","language:rw","language:sah","language:sl","language:sv","language:ta","language:th","language:tr","language:tt","language:uk","language:vi","language:vot","language:zh","license:cc0-1.0","region:us"]

language:
["ab","ar","as","br","ca","cnh","cs","cv","cy","de","dv","el","en","eo","es","et","eu","fa","fi","fr","fy","ga","hi","hsb","hu","ia","id","it","ja","ka","kab","ky","lg","lt","lv","mn","mt","nl","or","pa","pl","pt","rm","ro","ru","rw","sah","sl","sv","ta","th","tr","tt","uk","vi","vot","zh"]

column_names:
["client_id","path","audio","sentence","up_votes","down_votes","age","gender","accent","locale","segment"]

features:
[{"name":"client_id","dtype":"string"},{"name":"path","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":48000}}},{"name":"sentence","dtype":"string"},{"name":"up_votes","dtype":"int64"},{"name":"down_votes","dtype":"int64"},{"name":"age","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"accent","dtype":"string"},{"name":"locale","dtype":"string"},{"name":"segment","dtype":"string"}]


hub_id: tau/commonsense_qa
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["id","question","question_concept","choices","answerKey"]
tags:
["task_categories:question-answering","task_ids:open-domain-qa","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:mit","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","arxiv:1811.00937","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"question_concept","dtype":"string"},{"name":"choices","sequence":[{"name":"label","dtype":"string"},{"name":"text","dtype":"string"}]},{"name":"answerKey","dtype":"string"}]


hub_id: hendrycks/competition_math
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["problem","level","type","solution"]
tags:
["task_categories:text2text-generation","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","size_categories:10K<n<100K","source_datasets:original","language:en","license:mit","explanation-generation","arxiv:2103.03874","region:us"]

features:
[{"name":"problem","dtype":"string"},{"name":"level","dtype":"string"},{"name":"type","dtype":"string"},{"name":"solution","dtype":"string"}]


hub_id: asuglia/compguesswhat
license: ["unknown"]
language: ["en"]
config_name: compguesswhat-zero_shot
column_names: ["id","target_id","status","image","objects"]
tags:
["task_categories:visual-question-answering","task_ids:visual-question-answering","annotations_creators:machine-generated","language_creators:found","multilinguality:monolingual","source_datasets:extended|other-guesswhat","language:en","license:unknown","size_categories:100K<n<1M","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:2006.02174","region:us","croissant"]

features:
[{"name":"id","dtype":"int32"},{"name":"target_id","dtype":"string"},{"name":"status","dtype":"string"},{"name":"image","struct":[{"name":"id","dtype":"int32"},{"name":"file_name","dtype":"string"},{"name":"coco_url","dtype":"string"},{"name":"height","dtype":"int32"},{"name":"width","dtype":"int32"},{"name":"license","dtype":"int32"},{"name":"open_images_id","dtype":"string"},{"name":"date_captured","dtype":"string"}]},{"name":"objects","sequence":[{"name":"id","dtype":"string"},{"name":"bbox","sequence":"float32","length":4},{"name":"category","dtype":"string"},{"name":"area","dtype":"float32"},{"name":"category_id","dtype":"int32"},{"name":"IsOccluded","dtype":"int32"},{"name":"IsTruncated","dtype":"int32"},{"name":"segment","sequence":[{"name":"MaskPath","dtype":"string"},{"name":"LabelName","dtype":"string"},{"name":"BoxID","dtype":"string"},{"name":"BoxXMin","dtype":"string"},{"name":"BoxXMax","dtype":"string"},{"name":"BoxYMin","dtype":"string"},{"name":"BoxYMax","dtype":"string"},{"name":"PredictedIoU","dtype":"string"},{"name":"Clicks","dtype":"string"}]}]}]


hub_id: conceptnet5/conceptnet5
license: ["cc-by-4.0"]
language: ["de","en","es","fr","it","ja","nl","pt","ru","zh"]
config_name: omcs_sentences_more
column_names: ["sentence","raw_data","lang"]
tags:
["task_categories:text-classification","task_ids:multi-class-classification","annotations_creators:crowdsourced","language_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:de","language:en","language:es","language:fr","language:it","language:ja","language:nl","language:pt","language:ru","language:zh","license:cc-by-4.0","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","arxiv:1612.03975","region:us","croissant"]

features:
[{"name":"sentence","dtype":"string"},{"name":"raw_data","dtype":"string"},{"name":"lang","dtype":"string"}]


hub_id: eriktks/conll2000
tags: ["language:en","region:us"]
license: []
language: ["en"]
config_name: default
column_names: ["id","tokens","pos_tags","chunk_tags"]
features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"pos_tags","sequence":{"class_label":{"names":{"0":"''","1":"#","2":"$","3":"(","4":")","5":",","6":".","7":":","8":"``","9":"CC","10":"CD","11":"DT","12":"EX","13":"FW","14":"IN","15":"JJ","16":"JJR","17":"JJS","18":"MD","19":"NN","20":"NNP","21":"NNPS","22":"NNS","23":"PDT","24":"POS","25":"PRP","26":"PRP$","27":"RB","28":"RBR","29":"RBS","30":"RP","31":"SYM","32":"TO","33":"UH","34":"VB","35":"VBD","36":"VBG","37":"VBN","38":"VBP","39":"VBZ","40":"WDT","41":"WP","42":"WP$","43":"WRB"}}}},{"name":"chunk_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-ADJP","2":"I-ADJP","3":"B-ADVP","4":"I-ADVP","5":"B-CONJP","6":"I-CONJP","7":"B-INTJ","8":"I-INTJ","9":"B-LST","10":"I-LST","11":"B-NP","12":"I-NP","13":"B-PP","14":"I-PP","15":"B-PRT","16":"I-PRT","17":"B-SBAR","18":"I-SBAR","19":"B-UCP","20":"I-UCP","21":"B-VP","22":"I-VP"}}}}]


hub_id: eriktks/conll2002
license: ["unknown"]
language: ["es","nl"]
config_name: nl
column_names: ["id","tokens","pos_tags","ner_tags"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","task_ids:part-of-speech","annotations_creators:crowdsourced","language_creators:found","multilinguality:multilingual","size_categories:10K<n<100K","source_datasets:original","language:es","language:nl","license:unknown","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"pos_tags","sequence":{"class_label":{"names":{"0":"Adj","1":"Adv","2":"Art","3":"Conj","4":"Int","5":"Misc","6":"N","7":"Num","8":"Prep","9":"Pron","10":"Punc","11":"V"}}}},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-PER","2":"I-PER","3":"B-ORG","4":"I-ORG","5":"B-LOC","6":"I-LOC","7":"B-MISC","8":"I-MISC"}}}}]


hub_id: eriktks/conll2003
license: ["other"]
language: ["en"]
config_name: conll2003
column_names: ["id","tokens","pos_tags","chunk_tags","ner_tags"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","task_ids:part-of-speech","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","size_categories:10K<n<100K","source_datasets:extended|other-reuters-corpus","language:en","license:other","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"pos_tags","sequence":{"class_label":{"names":{"0":"\"","1":"''","2":"#","3":"$","4":"(","5":")","6":",","7":".","8":":","9":"``","10":"CC","11":"CD","12":"DT","13":"EX","14":"FW","15":"IN","16":"JJ","17":"JJR","18":"JJS","19":"LS","20":"MD","21":"NN","22":"NNP","23":"NNPS","24":"NNS","25":"NN|SYM","26":"PDT","27":"POS","28":"PRP","29":"PRP$","30":"RB","31":"RBR","32":"RBS","33":"RP","34":"SYM","35":"TO","36":"UH","37":"VB","38":"VBD","39":"VBG","40":"VBN","41":"VBP","42":"VBZ","43":"WDT","44":"WP","45":"WP$","46":"WRB"}}}},{"name":"chunk_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-ADJP","2":"I-ADJP","3":"B-ADVP","4":"I-ADVP","5":"B-CONJP","6":"I-CONJP","7":"B-INTJ","8":"I-INTJ","9":"B-LST","10":"I-LST","11":"B-NP","12":"I-NP","13":"B-PP","14":"I-PP","15":"B-PRT","16":"I-PRT","17":"B-SBAR","18":"I-SBAR","19":"B-UCP","20":"I-UCP","21":"B-VP","22":"I-VP"}}}},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-PER","2":"I-PER","3":"B-ORG","4":"I-ORG","5":"B-LOC","6":"I-LOC","7":"B-MISC","8":"I-MISC"}}}}]


hub_id: ZihanWangKi/conllpp
license: ["unknown"]
language: ["en"]
config_name: conllpp
column_names: ["id","tokens","pos_tags","chunk_tags","ner_tags"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:extended|conll2003","language:en","license:unknown","size_categories:10K<n<100K","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"pos_tags","sequence":{"class_label":{"names":{"0":"\"","1":"''","2":"#","3":"$","4":"(","5":")","6":",","7":".","8":":","9":"``","10":"CC","11":"CD","12":"DT","13":"EX","14":"FW","15":"IN","16":"JJ","17":"JJR","18":"JJS","19":"LS","20":"MD","21":"NN","22":"NNP","23":"NNPS","24":"NNS","25":"NN|SYM","26":"PDT","27":"POS","28":"PRP","29":"PRP$","30":"RB","31":"RBR","32":"RBS","33":"RP","34":"SYM","35":"TO","36":"UH","37":"VB","38":"VBD","39":"VBG","40":"VBN","41":"VBP","42":"VBZ","43":"WDT","44":"WP","45":"WP$","46":"WRB"}}}},{"name":"chunk_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-ADJP","2":"I-ADJP","3":"B-ADVP","4":"I-ADVP","5":"B-CONJP","6":"I-CONJP","7":"B-INTJ","8":"I-INTJ","9":"B-LST","10":"I-LST","11":"B-NP","12":"I-NP","13":"B-PP","14":"I-PP","15":"B-PRT","16":"I-PRT","17":"B-SBAR","18":"I-SBAR","19":"B-UCP","20":"I-UCP","21":"B-VP","22":"I-VP"}}}},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-PER","2":"I-PER","3":"B-ORG","4":"I-ORG","5":"B-LOC","6":"I-LOC","7":"B-MISC","8":"I-MISC"}}}}]


hub_id: CFPB/consumer-finance-complaints
license: ["cc0-1.0"]
language: ["en"]
config_name: default
tags:
["task_categories:text-classification","task_ids:topic-classification","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:cc0-1.0","size_categories:1M<n<10M","region:us"]

column_names:
["Date Received","Product","Sub Product","Issue","Sub Issue","Complaint Text","Company Public Response","Company","State","Zip Code","Tags","Consumer Consent Provided","Submitted via","Date Sent To Company","Company Response To Consumer","Timely Response","Consumer Disputed","Complaint ID"]

features:
[{"name":"Date Received","dtype":"timestamp[s]"},{"name":"Product","dtype":{"class_label":{"names":{"0":"Credit reporting, credit repair services, or other personal consumer reports","1":"Debt collection","2":"Mortgage","3":"Credit card or prepaid card","4":"Checking or savings account","5":"Credit reporting","6":"Student loan","7":"Money transfer, virtual currency, or money service","8":"Credit card","9":"Vehicle loan or lease","10":"Bank account or service","11":"Payday loan, title loan, or personal loan","12":"Consumer Loan","13":"Payday loan","14":"Money transfers","15":"Prepaid card","16":"Other financial service","17":"Virtual currency"}}}},{"name":"Sub Product","dtype":{"class_label":{"names":{"0":"Credit reporting","1":"General-purpose credit card or charge card","2":"Checking account","3":"Other debt","4":"Second mortgage","5":"Conventional home mortgage","6":"I do not know","7":"Credit card debt","8":"Medical debt","9":"Federal student loan servicing","10":"FHA mortgage","11":"Conventional fixed mortgage","12":"Loan","13":"Other (i.e. phone, health club, etc.)","14":"Store credit card","15":"Installment loan","16":"Credit card","17":"Medical","18":"Mobile or digital wallet","19":"Private student loan","20":"Non-federal student loan","21":"Domestic (US) money transfer","22":"VA mortgage","23":"Vehicle loan","24":"Auto debt","25":"Payday loan","26":"Conventional adjustable mortgage (ARM)","27":"Other personal consumer report","28":"Payday loan debt","29":"Savings account","30":"Virtual currency","31":"Other bank product/service","32":"Other type of mortgage","33":"Other banking product or service","34":"Other mortgage","35":"International money transfer","36":"Lease","37":"General-purpose prepaid card","38":"Home equity loan or line of credit (HELOC)","39":"Government benefit card","40":"Mortgage debt","41":"Personal line of credit","42":"Home equity loan or line of credit","43":"Federal student loan debt","44":"Private student loan debt","45":"Credit repair services","46":"Title loan","47":"Auto","48":"Vehicle lease","49":"Mortgage","50":"Reverse mortgage","51":"General purpose card","52":"CD (Certificate of Deposit)","53":"Federal student loan","54":"Payroll card","55":"Debt settlement","56":"Check cashing service","57":"Traveler's check or cashier's check","58":"Gift card","59":"(CD) Certificate of deposit","60":"Money order","61":"Foreign currency exchange","62":"Refund anticipation check","63":"Gift or merchant card","64":"Cashing a check without an account","65":"ID prepaid card","66":"Mobile wallet","67":"Government benefit payment card","68":"Pawn loan","69":"Other special purpose card","70":"Check cashing","71":"Credit repair","72":"Traveler\u2019s/Cashier\u2019s checks","73":"Transit card","74":"Student prepaid card","75":"Electronic Benefit Transfer / EBT card","76":""}}}},{"name":"Issue","dtype":"string"},{"name":"Sub Issue","dtype":"string"},{"name":"Complaint Text","dtype":"string"},{"name":"Company Public Response","dtype":"string"},{"name":"Company","dtype":"string"},{"name":"State","dtype":"string"},{"name":"Zip Code","dtype":"string"},{"name":"Tags","dtype":{"class_label":{"names":{"0":"Servicemember","1":"Older American","2":"Older American, Servicemember","3":""}}}},{"name":"Consumer Consent Provided","dtype":"string"},{"name":"Submitted via","dtype":"string"},{"name":"Date Sent To Company","dtype":"string"},{"name":"Company Response To Consumer","dtype":"string"},{"name":"Timely Response","dtype":"string"},{"name":"Consumer Disputed","dtype":"string"},{"name":"Complaint ID","dtype":"string"}]


hub_id: convai-challenge/conv_ai
license: ["unknown"]
language: ["en"]
config_name: conv_ai
column_names: ["id","dialogId","context","users","evaluation","thread"]
tags:
["task_categories:text-classification","task_ids:text-scoring","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:1K<n<10K","region:us","evaluating-dialogue-systems"]

features:
[{"name":"id","dtype":"int32"},{"name":"dialogId","dtype":"int32"},{"name":"context","dtype":"string"},{"name":"users","list":[{"name":"userType","dtype":"string"},{"name":"id","dtype":"string"}]},{"name":"evaluation","list":[{"name":"breadth","dtype":"int32"},{"name":"userId","dtype":"string"},{"name":"quality","dtype":"int32"},{"name":"engagement","dtype":"int32"}]},{"name":"thread","list":[{"name":"evaluation","dtype":"int32"},{"name":"text","dtype":"string"},{"name":"userId","dtype":"string"},{"name":"time","dtype":"int32"}]}]


hub_id: convai-challenge/conv_ai_2
license: ["unknown"]
language: ["en"]
config_name: conv_ai_2
column_names: ["id","dialog_id","dialog","bot_profile","user_profile","eval_score","profile_match"]
tags:
["task_categories:text-classification","task_ids:text-scoring","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","size_categories:1K<n<10K","source_datasets:original","language:en","license:unknown","evaluating-dialogue-systems","arxiv:1902.00098","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"dialog_id","dtype":"string"},{"name":"dialog","list":[{"name":"id","dtype":"int32"},{"name":"sender","dtype":"string"},{"name":"text","dtype":"string"},{"name":"sender_class","dtype":"string"}]},{"name":"bot_profile","sequence":{"list":"string"}},{"name":"user_profile","sequence":{"list":"string"}},{"name":"eval_score","dtype":"int32"},{"name":"profile_match","dtype":"int32"}]


hub_id: convai-challenge/conv_ai_3
license: ["unknown"]
language: ["en"]
config_name: conv_ai_3
tags:
["task_categories:text-classification","task_ids:text-scoring","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:10K<n<100K","arxiv:2009.11352","region:us","evaluating-dialogue-systems"]

column_names:
["topic_id","initial_request","topic_desc","clarification_need","facet_id","facet_desc","question_id","question","answer"]

features:
[{"name":"topic_id","dtype":"int32"},{"name":"initial_request","dtype":"string"},{"name":"topic_desc","dtype":"string"},{"name":"clarification_need","dtype":"int32"},{"name":"facet_id","dtype":"string"},{"name":"facet_desc","dtype":"string"},{"name":"question_id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"}]


hub_id: pchristm/conv_questions
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["domain","seed_entity","seed_entity_text","questions","answers","answer_texts"]
tags:
["task_categories:question-answering","task_categories:text-generation","task_categories:fill-mask","task_ids:open-domain-qa","task_ids:dialogue-modeling","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:10K<n<100K","arxiv:1910.03262","region:us"]

features:
[{"name":"domain","dtype":"string"},{"name":"seed_entity","dtype":"string"},{"name":"seed_entity_text","dtype":"string"},{"name":"questions","sequence":"string"},{"name":"answers","sequence":{"sequence":"string"}},{"name":"answer_texts","sequence":"string"}]


hub_id: stanfordnlp/coqa
license: ["other"]
language: ["en"]
config_name: default
column_names: ["source","story","questions","answers"]
tags:
["task_categories:question-answering","task_ids:extractive-qa","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:extended|race","source_datasets:extended|cnn_dailymail","source_datasets:extended|wikipedia","source_datasets:extended|other","language:en","license:other","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","arxiv:1808.07042","arxiv:1704.04683","arxiv:1506.03340","region:us","conversational-qa","croissant"]

features:
[{"name":"source","dtype":"string"},{"name":"story","dtype":"string"},{"name":"questions","sequence":"string"},{"name":"answers","sequence":[{"name":"input_text","dtype":"string"},{"name":"answer_start","dtype":"int32"},{"name":"answer_end","dtype":"int32"}]}]


hub_id: allenai/cord19
license: ["cc-by-nd-4.0","cc-by-sa-4.0","other"]
language: ["en"]
config_name: embeddings
tags:
["task_categories:other","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-nd-4.0","license:cc-by-sa-4.0","license:other","size_categories:100K<n<1M","arxiv:2004.07180","region:us"]

column_names:
["cord_uid","sha","source_x","title","doi","abstract","publish_time","authors","journal","url","doc_embeddings"]

features:
[{"name":"cord_uid","dtype":"string"},{"name":"sha","dtype":"string"},{"name":"source_x","dtype":"string"},{"name":"title","dtype":"string"},{"name":"doi","dtype":"string"},{"name":"abstract","dtype":"string"},{"name":"publish_time","dtype":"string"},{"name":"authors","dtype":"string"},{"name":"journal","dtype":"string"},{"name":"url","dtype":"string"},{"name":"doc_embeddings","sequence":"float64"}]


hub_id: cornell-movie-dialog/cornell_movie_dialog
tags: ["language:en","region:us"]
license: []
language: ["en"]
config_name: default
column_names:
["movieID","movieTitle","movieYear","movieIMDBRating","movieNoIMDBVotes","movieGenres","characterID1","characterID2","characterName1","characterName2","utterance"]

features:
[{"name":"movieID","dtype":"string"},{"name":"movieTitle","dtype":"string"},{"name":"movieYear","dtype":"string"},{"name":"movieIMDBRating","dtype":"string"},{"name":"movieNoIMDBVotes","dtype":"string"},{"name":"movieGenres","sequence":"string"},{"name":"characterID1","dtype":"string"},{"name":"characterID2","dtype":"string"},{"name":"characterName1","dtype":"string"},{"name":"characterName2","dtype":"string"},{"name":"utterance","sequence":[{"name":"text","dtype":"string"},{"name":"LineID","dtype":"string"}]}]


hub_id: Salesforce/cos_e
license: ["unknown"]
language: ["en"]
config_name: v1.11
column_names: ["id","question","choices","answer","abstractive_explanation","extractive_explanation"]
tags:
["task_categories:question-answering","task_ids:open-domain-qa","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:extended|commonsense_qa","language:en","license:unknown","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:1906.02361","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"choices","sequence":"string"},{"name":"answer","dtype":"string"},{"name":"abstractive_explanation","dtype":"string"},{"name":"extractive_explanation","dtype":"string"}]


hub_id: allenai/cosmos_qa
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["id","context","question","answer0","answer1","answer2","answer3","label"]
tags:
["task_categories:multiple-choice","task_ids:multiple-choice-qa","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:10K<n<100K","arxiv:1909.00277","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer0","dtype":"string"},{"name":"answer1","dtype":"string"},{"name":"answer2","dtype":"string"},{"name":"answer3","dtype":"string"},{"name":"label","dtype":"int32"}]


hub_id: ucrelnlp/counter
license: ["cc-by-nc-sa-4.0"]
language: ["ur"]
config_name: default
column_names: ["source","derived"]
tags:
["task_categories:text-classification","task_ids:text-scoring","task_ids:semantic-similarity-scoring","task_ids:topic-classification","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:ur","license:cc-by-nc-sa-4.0","size_categories:n<1K","region:us"]

features:
[{"name":"source","struct":[{"name":"filename","dtype":"string"},{"name":"headline","dtype":"string"},{"name":"body","dtype":"string"},{"name":"total_number_of_words","dtype":"int64"},{"name":"total_number_of_sentences","dtype":"int64"},{"name":"number_of_words_with_swr","dtype":"int64"},{"name":"newspaper","dtype":"string"},{"name":"newsdate","dtype":"string"},{"name":"domain","dtype":{"class_label":{"names":{"0":"business","1":"sports","2":"national","3":"foreign","4":"showbiz"}}}},{"name":"classification","dtype":{"class_label":{"names":{"0":"wholly_derived","1":"partially_derived","2":"not_derived"}}}}]},{"name":"derived","struct":[{"name":"filename","dtype":"string"},{"name":"headline","dtype":"string"},{"name":"body","dtype":"string"},{"name":"total_number_of_words","dtype":"int64"},{"name":"total_number_of_sentences","dtype":"int64"},{"name":"number_of_words_with_swr","dtype":"int64"},{"name":"newspaper","dtype":"string"},{"name":"newsdate","dtype":"string"},{"name":"domain","dtype":{"class_label":{"names":{"0":"business","1":"sports","2":"national","3":"foreign","4":"showbiz"}}}},{"name":"classification","dtype":{"class_label":{"names":{"0":"wholly_derived","1":"partially_derived","2":"not_derived"}}}}]}]


hub_id: castorini/covid_qa_castorini
license: ["apache-2.0"]
language: ["en"]
config_name: covid_qa_castorini
column_names: ["category_name","question_query","keyword_query","answers"]
tags:
["task_categories:question-answering","task_ids:open-domain-qa","task_ids:extractive-qa","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:apache-2.0","size_categories:1K<n<10K","arxiv:2004.11339","region:us"]

features:
[{"name":"category_name","dtype":"string"},{"name":"question_query","dtype":"string"},{"name":"keyword_query","dtype":"string"},{"name":"answers","sequence":[{"name":"id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"exact_answer","dtype":"string"}]}]


hub_id: deepset/covid_qa_deepset
license: ["apache-2.0"]
language: ["en"]
config_name: covid_qa_deepset
column_names: ["document_id","context","question","is_impossible","id","answers"]
tags:
["task_categories:question-answering","task_ids:closed-domain-qa","task_ids:extractive-qa","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:apache-2.0","size_categories:1K<n<10K","region:us"]

features:
[{"name":"document_id","dtype":"int32"},{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"is_impossible","dtype":"bool"},{"name":"id","dtype":"int32"},{"name":"answers","sequence":[{"name":"text","dtype":"string"},{"name":"answer_start","dtype":"int32"}]}]


hub_id: UCSD-AI4H/covid_qa_ucsd
license: ["unknown"]
language: ["en","zh"]
config_name: zh
column_names: ["dialogue_id","dialogue_url","dialogue_turns"]
tags:
["task_categories:question-answering","task_ids:closed-domain-qa","annotations_creators:found","language_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","language:zh","license:unknown","size_categories:1K<n<10K","arxiv:2005.05442","region:us"]

features:
[{"name":"dialogue_id","dtype":"int32"},{"name":"dialogue_url","dtype":"string"},{"name":"dialogue_turns","sequence":[{"name":"speaker","dtype":{"class_label":{"names":{"0":"\u75c5\u4eba","1":"\u533b\u751f"}}}},{"name":"utterance","dtype":"string"}]}]


hub_id: community-datasets/covid_tweets_japanese
license: ["cc-by-nd-4.0"]
language: ["ja"]
config_name: default
column_names: ["tweet_id","assessment_option_id"]
tags:
["task_categories:text-classification","task_ids:fact-checking","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:ja","license:cc-by-nd-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"tweet_id","dtype":"string"},{"name":"assessment_option_id","dtype":{"class_label":{"names":{"0":"63","1":"64","2":"65","3":"66","4":"67","5":"68"}}}}]


hub_id: facebook/covost2
license: ["cc-by-nc-4.0"]
config_name: cy_en
column_names: ["client_id","file","sentence","translation","id"]
tags:
["task_categories:automatic-speech-recognition","annotations_creators:expert-generated","language_creators:crowdsourced","language_creators:expert-generated","multilinguality:multilingual","size_categories:100K<n<1M","source_datasets:extended|other-common-voice","language:ar","language:ca","language:cy","language:de","language:es","language:et","language:fa","language:fr","language:id","language:it","language:ja","language:lv","language:mn","language:nl","language:pt","language:ru","language:sl","language:sv","language:ta","language:tr","language:zh","license:cc-by-nc-4.0","arxiv:2007.10310","region:us"]

language:
["ar","ca","cy","de","es","et","fa","fr","id","it","ja","lv","mn","nl","pt","ru","sl","sv","ta","tr","zh"]

features:
[{"name":"client_id","dtype":"string"},{"name":"file","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"translation","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: rishitdagli/cppe-5
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["image_id","image","width","height","objects"]
tags:
["task_categories:object-detection","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:100K<n<1M","parquet","image","datasets","pandas","mlcroissant","arxiv:2112.09569","region:us","medical-personal-protective-equipment-detection","croissant"]

features:
[{"name":"image_id","dtype":"int64"},{"name":"image","dtype":"image"},{"name":"width","dtype":"int32"},{"name":"height","dtype":"int32"},{"name":"objects","sequence":[{"name":"id","dtype":"int64"},{"name":"area","dtype":"int64"},{"name":"bbox","sequence":"float32","length":4},{"name":"category","dtype":{"class_label":{"names":{"0":"Coverall","1":"Face_Shield","2":"Gloves","3":"Goggles","4":"Mask"}}}}]}]


hub_id: stanfordnlp/craigslist_bargains
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["agent_info","agent_turn","dialogue_acts","utterance","items"]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:dialogue-modeling","annotations_creators:machine-generated","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:1K<n<10K","arxiv:1808.09637","region:us"]

features:
[{"name":"agent_info","sequence":[{"name":"Bottomline","dtype":"string"},{"name":"Role","dtype":"string"},{"name":"Target","dtype":"float32"}]},{"name":"agent_turn","sequence":"int32"},{"name":"dialogue_acts","sequence":[{"name":"intent","dtype":"string"},{"name":"price","dtype":"float32"}]},{"name":"utterance","sequence":"string"},{"name":"items","sequence":[{"name":"Category","dtype":"string"},{"name":"Images","dtype":"string"},{"name":"Price","dtype":"float32"},{"name":"Description","dtype":"string"},{"name":"Title","dtype":"string"}]}]


hub_id: google-research-datasets/crawl_domain
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["example"]
features: [{"name":"example","dtype":"string"}]
tags:
["task_categories:other","annotations_creators:expert-generated","language_creators:crowdsourced","language_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:extended|other-Common-Crawl","source_datasets:original","language:en","license:mit","size_categories:10K<n<100K","arxiv:2011.03138","region:us","web-search","text-to-speech"]


hub_id: microsoft/crd3
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: default
column_names: ["chunk","chunk_id","turn_start","turn_end","alignment_score","turns"]
tags:
["task_categories:summarization","task_categories:text-generation","task_categories:fill-mask","task_ids:dialogue-modeling","annotations_creators:no-annotation","language_creators:crowdsourced","multilinguality:monolingual","size_categories:10K<n<100K","source_datasets:original","language:en","license:cc-by-sa-4.0","region:us"]

features:
[{"name":"chunk","dtype":"string"},{"name":"chunk_id","dtype":"int32"},{"name":"turn_start","dtype":"int32"},{"name":"turn_end","dtype":"int32"},{"name":"alignment_score","dtype":"float32"},{"name":"turns","list":[{"name":"names","sequence":"string"},{"name":"utterances","sequence":"string"},{"name":"number","dtype":"int32"}]}]


hub_id: community-datasets/crime_and_punish
license: []
language: ["en"]
config_name: default
column_names: ["line"]
features: [{"name":"line","dtype":"string"}]
tags:
["language:en","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: nyu-mll/crows_pairs
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: crows_pairs
tags:
["task_categories:text-classification","task_ids:text-scoring","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-sa-4.0","size_categories:1K<n<10K","region:us","bias-evaluation"]

column_names:
["id","sent_more","sent_less","stereo_antistereo","bias_type","annotations","anon_writer","anon_annotators"]

features:
[{"name":"id","dtype":"int32"},{"name":"sent_more","dtype":"string"},{"name":"sent_less","dtype":"string"},{"name":"stereo_antistereo","dtype":{"class_label":{"names":{"0":"stereo","1":"antistereo"}}}},{"name":"bias_type","dtype":{"class_label":{"names":{"0":"race-color","1":"socioeconomic","2":"gender","3":"disability","4":"nationality","5":"sexual-orientation","6":"physical-appearance","7":"religion","8":"age"}}}},{"name":"annotations","sequence":{"sequence":{"class_label":{"names":{"0":"race-color","1":"socioeconomic","2":"gender","3":"disability","4":"nationality","5":"sexual-orientation","6":"physical-appearance","7":"religion","8":"age"}}}}},{"name":"anon_writer","dtype":"string"},{"name":"anon_annotators","sequence":"string"}]


hub_id: aviaefrat/cryptonite
license: ["cc-by-nc-4.0"]
language: ["en"]
config_name: cryptonite
column_names: ["clue","answer","enumeration","publisher","date","quick","id"]
tags:
["task_categories:question-answering","task_ids:open-domain-qa","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","size_categories:100K<n<1M","size_categories:1K<n<10K","source_datasets:original","language:en","license:cc-by-nc-4.0","arxiv:2103.01242","region:us"]

features:
[{"name":"clue","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"enumeration","dtype":"string"},{"name":"publisher","dtype":"string"},{"name":"date","dtype":"int64"},{"name":"quick","dtype":"bool"},{"name":"id","dtype":"string"}]


hub_id: community-datasets/cs_restaurants
license: ["cc-by-4.0"]
language: ["cs"]
config_name: CSRestaurants
column_names: ["da","delex_da","text","delex_text"]
tags:
["task_categories:text2text-generation","task_categories:text-generation","task_categories:fill-mask","task_ids:dialogue-modeling","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:found","language_creators:expert-generated","language_creators:machine-generated","multilinguality:monolingual","source_datasets:extended|other-san-francisco-restaurants","language:cs","license:cc-by-4.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:1910.05298","region:us","intent-to-text","croissant"]

features:
[{"name":"da","dtype":"string"},{"name":"delex_da","dtype":"string"},{"name":"text","dtype":"string"},{"name":"delex_text","dtype":"string"}]


hub_id: theatticusproject/cuad-qa
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["id","title","context","question","answers"]
tags:
["task_categories:question-answering","task_ids:closed-domain-qa","task_ids:extractive-qa","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","size_categories:10K<n<100K","source_datasets:original","language:en","license:cc-by-4.0","arxiv:2103.06268","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answers","sequence":[{"name":"text","dtype":"string"},{"name":"answer_start","dtype":"int32"}]}]


hub_id: facebook/curiosity_dialogs
license: ["cc-by-nc-4.0"]
language: ["en"]
config_name: curiosity_dialogs
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:dialogue-modeling","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","size_categories:10K<n<100K","source_datasets:original","language:en","license:cc-by-nc-4.0","conversational-curiosity","region:us"]

column_names:
["messages","known_entities","focus_entity","dialog_id","inferred_steps","created_time","aspects","first_aspect","second_aspect","shuffle_facts","related_entities","tag","user_id","assistant_id","is_annotated","user_dialog_rating","user_other_agent_rating","assistant_dialog_rating","assistant_other_agent_rating","reported","annotated"]

features:
[{"name":"messages","sequence":[{"name":"message","dtype":"string"},{"name":"liked","dtype":{"class_label":{"names":{"0":"False","1":"True"}}}},{"name":"sender","dtype":{"class_label":{"names":{"0":"user","1":"assistant"}}}},{"name":"facts","sequence":[{"name":"fid","dtype":"int32"},{"name":"used","dtype":{"class_label":{"names":{"0":"False","1":"True"}}}},{"name":"source","dtype":{"class_label":{"names":{"0":"section","1":"known","2":"random"}}}}]},{"name":"message_id","dtype":"string"},{"name":"dialog_acts","sequence":"string"}]},{"name":"known_entities","sequence":"string"},{"name":"focus_entity","dtype":"string"},{"name":"dialog_id","dtype":"int32"},{"name":"inferred_steps","dtype":{"class_label":{"names":{"0":"False","1":"True"}}}},{"name":"created_time","dtype":"int64"},{"name":"aspects","sequence":"string"},{"name":"first_aspect","dtype":"string"},{"name":"second_aspect","dtype":"string"},{"name":"shuffle_facts","dtype":{"class_label":{"names":{"0":"False","1":"True"}}}},{"name":"related_entities","sequence":"string"},{"name":"tag","dtype":"string"},{"name":"user_id","dtype":"int32"},{"name":"assistant_id","dtype":"int32"},{"name":"is_annotated","dtype":{"class_label":{"names":{"0":"False","1":"True"}}}},{"name":"user_dialog_rating","dtype":"int32"},{"name":"user_other_agent_rating","dtype":"int32"},{"name":"assistant_dialog_rating","dtype":"int32"},{"name":"assistant_other_agent_rating","dtype":"int32"},{"name":"reported","dtype":{"class_label":{"names":{"0":"False","1":"True"}}}},{"name":"annotated","dtype":{"class_label":{"names":{"0":"False","1":"True"}}}}]


hub_id: li2017dailydialog/daily_dialog
license: ["cc-by-nc-sa-4.0"]
language: ["en"]
config_name: default
column_names: ["dialog","act","emotion"]
tags:
["task_categories:text-classification","task_ids:multi-label-classification","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","size_categories:10K<n<100K","source_datasets:original","language:en","license:cc-by-nc-sa-4.0","emotion-classification","dialog-act-classification","region:us"]

features:
[{"name":"dialog","sequence":"string"},{"name":"act","sequence":{"class_label":{"names":{"0":"__dummy__","1":"inform","2":"question","3":"directive","4":"commissive"}}}},{"name":"emotion","sequence":{"class_label":{"names":{"0":"no emotion","1":"anger","2":"disgust","3":"fear","4":"happiness","5":"sadness","6":"surprise"}}}}]


hub_id: alexandrainst/dane
license: ["cc-by-sa-4.0"]
language: ["da"]
config_name: default
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","task_ids:part-of-speech","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:extended|other-Danish-Universal-Dependencies-treebank","language:da","license:cc-by-sa-4.0","size_categories:1K<n<10K","region:us"]

column_names:
["sent_id","text","tok_ids","tokens","lemmas","pos_tags","morph_tags","dep_ids","dep_labels","ner_tags"]

features:
[{"name":"sent_id","dtype":"string"},{"name":"text","dtype":"string"},{"name":"tok_ids","sequence":"int64"},{"name":"tokens","sequence":"string"},{"name":"lemmas","sequence":"string"},{"name":"pos_tags","sequence":{"class_label":{"names":{"0":"NUM","1":"CCONJ","2":"PRON","3":"VERB","4":"INTJ","5":"AUX","6":"ADJ","7":"PROPN","8":"PART","9":"ADV","10":"PUNCT","11":"ADP","12":"NOUN","13":"X","14":"DET","15":"SYM","16":"SCONJ"}}}},{"name":"morph_tags","sequence":"string"},{"name":"dep_ids","sequence":"int64"},{"name":"dep_labels","sequence":{"class_label":{"names":{"0":"parataxis","1":"mark","2":"nummod","3":"discourse","4":"compound:prt","5":"reparandum","6":"vocative","7":"list","8":"obj","9":"dep","10":"det","11":"obl:loc","12":"flat","13":"iobj","14":"cop","15":"expl","16":"obl","17":"conj","18":"nmod","19":"root","20":"acl:relcl","21":"goeswith","22":"appos","23":"fixed","24":"obl:tmod","25":"xcomp","26":"advmod","27":"nmod:poss","28":"aux","29":"ccomp","30":"amod","31":"cc","32":"advcl","33":"nsubj","34":"punct","35":"case"}}}},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-PER","2":"I-PER","3":"B-ORG","4":"I-ORG","5":"B-LOC","6":"I-LOC","7":"B-MISC","8":"I-MISC"}}}}]


hub_id: community-datasets/danish_political_comments
license: ["unknown"]
language: ["da"]
config_name: default
column_names: ["id","sentence","target"]
tags:
["task_categories:text-classification","task_ids:multi-class-classification","annotations_creators:expert-generated","language_creators:other","multilinguality:monolingual","source_datasets:original","language:da","license:unknown","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"target","dtype":{"class_label":{"names":{"0":"2","1":"1","2":"0","3":"-1","4":"-2"}}}}]


hub_id: Yale-LILY/dart
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["tripleset","subtree_was_extended","annotations"]
tags:
["task_categories:tabular-to-text","task_ids:rdf-to-text","annotations_creators:crowdsourced","annotations_creators:machine-generated","language_creators:crowdsourced","language_creators:machine-generated","multilinguality:monolingual","source_datasets:extended|wikitable_questions","source_datasets:extended|wikisql","source_datasets:extended|web_nlg","source_datasets:extended|cleaned_e2e","language:en","license:mit","size_categories:10K<n<100K","arxiv:2007.02871","region:us"]

features:
[{"name":"tripleset","sequence":{"sequence":"string"}},{"name":"subtree_was_extended","dtype":"bool"},{"name":"annotations","sequence":[{"name":"source","dtype":"string"},{"name":"text","dtype":"string"}]}]


hub_id: datacommonsorg/datacommons_factcheck
license: ["cc-by-nc-4.0"]
language: ["en"]
config_name: weekly_standard
tags:
["task_categories:text-classification","task_ids:fact-checking","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-nc-4.0","size_categories:1K<n<10K","region:us"]

column_names:
["reviewer_name","claim_text","review_date","review_url","review_rating","claim_author_name","claim_date"]

features:
[{"name":"reviewer_name","dtype":"string"},{"name":"claim_text","dtype":"string"},{"name":"review_date","dtype":"string"},{"name":"review_url","dtype":"string"},{"name":"review_rating","dtype":"string"},{"name":"claim_author_name","dtype":"string"},{"name":"claim_date","dtype":"string"}]


hub_id: fancyzhx/dbpedia_14
license: ["cc-by-sa-3.0"]
language: ["en"]
config_name: dbpedia_14
column_names: ["label","title","content"]
tags:
["task_categories:text-classification","task_ids:topic-classification","annotations_creators:machine-generated","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-sa-3.0","size_categories:100M<n<1B","parquet","text","datasets","pandas","mlcroissant","arxiv:1509.01626","region:us","croissant"]

features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"Company","1":"EducationalInstitution","2":"Artist","3":"Athlete","4":"OfficeHolder","5":"MeanOfTransportation","6":"Building","7":"NaturalPlace","8":"Village","9":"Animal","10":"Plant","11":"Album","12":"Film","13":"WrittenWork"}}}},{"name":"title","dtype":"string"},{"name":"content","dtype":"string"}]


hub_id: benjaminvdb/dbrd
license: ["cc-by-nc-sa-4.0"]
language: ["nl"]
config_name: plain_text
column_names: ["text","label"]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_categories:text-classification","task_ids:language-modeling","task_ids:masked-language-modeling","task_ids:sentiment-classification","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:nl","license:cc-by-nc-sa-4.0","size_categories:100K<n<1M","arxiv:1910.00896","region:us"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"neg","1":"pos"}}}}]


hub_id: mikelewis0/deal_or_no_dialog
license: ["cc-by-4.0"]
language: ["en"]
config_name: self_play
column_names: ["input"]
features: [{"name":"input","sequence":[{"name":"count","dtype":"int32"},{"name":"value","dtype":"int32"}]}]
tags:
["annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:10K<n<100K","arxiv:1706.05125","region:us"]


hub_id: community-datasets/definite_pronoun_resolution
license: ["unknown"]
language: ["en"]
config_name: plain_text
column_names: ["sentence","pronoun","candidates","label"]
tags:
["task_categories:token-classification","task_ids:word-sense-disambiguation","annotations_creators:expert-generated","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"sentence","dtype":"string"},{"name":"pronoun","dtype":"string"},{"name":"candidates","sequence":"string","length":2},{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}}]


hub_id: jcblaise/dengue_filipino
license: ["unknown"]
language: ["tl"]
config_name: default
column_names: ["text","absent","dengue","health","mosquito","sick"]
tags:
["task_categories:text-classification","task_ids:multi-class-classification","annotations_creators:crowdsourced","annotations_creators:machine-generated","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:tl","license:unknown","size_categories:1K<n<10K","region:us"]

features:
[{"name":"text","dtype":"string"},{"name":"absent","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"dengue","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"health","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"mosquito","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"sick","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}}]


hub_id: dataset-org/dialog_re
license: ["other"]
language: ["en"]
config_name: dialog_re
column_names: ["dialog","relation_data"]
tags:
["task_categories:other","task_categories:text-generation","task_categories:fill-mask","task_ids:dialogue-modeling","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:en","license:other","size_categories:1K<n<10K","arxiv:2004.08056","region:us","relation-extraction"]

features:
[{"name":"dialog","sequence":"string"},{"name":"relation_data","sequence":[{"name":"x","dtype":"string"},{"name":"y","dtype":"string"},{"name":"x_type","dtype":"string"},{"name":"y_type","dtype":"string"},{"name":"r","sequence":"string"},{"name":"rid","sequence":"int32"},{"name":"t","sequence":"string"}]}]


hub_id: community-datasets/diplomacy_detection
license: ["unknown"]
language: ["en"]
config_name: default
tags:
["task_categories:text-classification","task_ids:intent-classification","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["messages","sender_labels","receiver_labels","speakers","receivers","absolute_message_index","relative_message_index","seasons","years","game_score","game_score_delta","players","game_id"]

features:
[{"name":"messages","sequence":"string"},{"name":"sender_labels","sequence":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"receiver_labels","sequence":{"class_label":{"names":{"0":"false","1":"true","2":"noannotation"}}}},{"name":"speakers","sequence":{"class_label":{"names":{"0":"italy","1":"turkey","2":"russia","3":"england","4":"austria","5":"germany","6":"france"}}}},{"name":"receivers","sequence":{"class_label":{"names":{"0":"italy","1":"turkey","2":"russia","3":"england","4":"austria","5":"germany","6":"france"}}}},{"name":"absolute_message_index","sequence":"int64"},{"name":"relative_message_index","sequence":"int64"},{"name":"seasons","sequence":{"class_label":{"names":{"0":"spring","1":"fall","2":"winter","3":"Spring","4":"Fall","5":"Winter"}}}},{"name":"years","sequence":{"class_label":{"names":{"0":"1901","1":"1902","2":"1903","3":"1904","4":"1905","5":"1906","6":"1907","7":"1908","8":"1909","9":"1910","10":"1911","11":"1912","12":"1913","13":"1914","14":"1915","15":"1916","16":"1917","17":"1918"}}}},{"name":"game_score","sequence":{"class_label":{"names":{"0":"0","1":"1","2":"2","3":"3","4":"4","5":"5","6":"6","7":"7","8":"8","9":"9","10":"10","11":"11","12":"12","13":"13","14":"14","15":"15","16":"16","17":"17","18":"18"}}}},{"name":"game_score_delta","sequence":{"class_label":{"names":{"0":"0","1":"1","2":"2","3":"3","4":"4","5":"5","6":"6","7":"7","8":"8","9":"9","10":"10","11":"11","12":"12","13":"13","14":"14","15":"15","16":"16","17":"17","18":"18","19":"-1","20":"-2","21":"-3","22":"-4","23":"-5","24":"-6","25":"-7","26":"-8","27":"-9","28":"-10","29":"-11","30":"-12","31":"-13","32":"-14","33":"-15","34":"-16","35":"-17","36":"-18"}}}},{"name":"players","sequence":{"class_label":{"names":{"0":"italy","1":"turkey","2":"russia","3":"england","4":"austria","5":"germany","6":"france"}}}},{"name":"game_id","dtype":"int64"}]


hub_id: community-datasets/disaster_response_messages
license: ["unknown"]
language: ["en","es","fr","ht","ur"]
config_name: default
tags:
["task_categories:text2text-generation","task_categories:text-classification","task_ids:intent-classification","task_ids:sentiment-classification","task_ids:text-simplification","annotations_creators:expert-generated","language_creators:crowdsourced","multilinguality:multilingual","source_datasets:original","language:en","language:es","language:fr","language:ht","language:ur","license:unknown","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["split","message","original","genre","related","PII","request","offer","aid_related","medical_help","medical_products","search_and_rescue","security","military","child_alone","water","food","shelter","clothing","money","missing_people","refugees","death","other_aid","infrastructure_related","transport","buildings","electricity","tools","hospitals","shops","aid_centers","other_infrastructure","weather_related","floods","storm","fire","earthquake","cold","other_weather","direct_report"]

features:
[{"name":"split","dtype":"string"},{"name":"message","dtype":"string"},{"name":"original","dtype":"string"},{"name":"genre","dtype":"string"},{"name":"related","dtype":{"class_label":{"names":{"0":"false","1":"true","2":"maybe"}}}},{"name":"PII","dtype":"int8"},{"name":"request","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"offer","dtype":"int8"},{"name":"aid_related","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"medical_help","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"medical_products","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"search_and_rescue","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"security","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"military","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"child_alone","dtype":"int8"},{"name":"water","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"food","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"shelter","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"clothing","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"money","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"missing_people","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"refugees","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"death","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"other_aid","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"infrastructure_related","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"transport","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"buildings","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"electricity","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"tools","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"hospitals","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"shops","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"aid_centers","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"other_infrastructure","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"weather_related","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"floods","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"storm","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"fire","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"earthquake","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"cold","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"other_weather","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"direct_report","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}}]


hub_id: google-research-datasets/discofuse
license: ["cc-by-sa-3.0"]
language: ["en"]
config_name: discofuse-wikipedia
tags:
["task_categories:text2text-generation","annotations_creators:machine-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-sa-3.0","size_categories:10M<n<100M","parquet","tabular","text","datasets","dask","mlcroissant","arxiv:1902.10526","region:us","sentence-fusion","croissant"]

column_names:
["connective_string","discourse_type","coherent_second_sentence","has_coref_type_pronoun","incoherent_first_sentence","incoherent_second_sentence","has_coref_type_nominal","coherent_first_sentence"]

features:
[{"name":"connective_string","dtype":"string"},{"name":"discourse_type","dtype":"string"},{"name":"coherent_second_sentence","dtype":"string"},{"name":"has_coref_type_pronoun","dtype":"float32"},{"name":"incoherent_first_sentence","dtype":"string"},{"name":"incoherent_second_sentence","dtype":"string"},{"name":"has_coref_type_nominal","dtype":"float32"},{"name":"coherent_first_sentence","dtype":"string"}]


hub_id: sileod/discovery
license: ["apache-2.0"]
language: ["en"]
config_name: discoverysmall
column_names: ["sentence1","sentence2","label","idx"]
tags:
["task_categories:text-classification","annotations_creators:other","language_creators:other","multilinguality:monolingual","source_datasets:original","language:en","license:apache-2.0","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","region:us","discourse-marker-prediction","croissant"]

features:
[{"name":"sentence1","dtype":"string"},{"name":"sentence2","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"[no-conn]","1":"absolutely,","2":"accordingly","3":"actually,","4":"additionally","5":"admittedly,","6":"afterward","7":"again,","8":"already,","9":"also,","10":"alternately,","11":"alternatively","12":"although,","13":"altogether,","14":"amazingly,","15":"and","16":"anyway,","17":"apparently,","18":"arguably,","19":"as_a_result,","20":"basically,","21":"because_of_that","22":"because_of_this","23":"besides,","24":"but","25":"by_comparison,","26":"by_contrast,","27":"by_doing_this,","28":"by_then","29":"certainly,","30":"clearly,","31":"coincidentally,","32":"collectively,","33":"consequently","34":"conversely","35":"curiously,","36":"currently,","37":"elsewhere,","38":"especially,","39":"essentially,","40":"eventually,","41":"evidently,","42":"finally,","43":"first,","44":"firstly,","45":"for_example","46":"for_instance","47":"fortunately,","48":"frankly,","49":"frequently,","50":"further,","51":"furthermore","52":"generally,","53":"gradually,","54":"happily,","55":"hence,","56":"here,","57":"historically,","58":"honestly,","59":"hopefully,","60":"however","61":"ideally,","62":"immediately,","63":"importantly,","64":"in_contrast,","65":"in_fact,","66":"in_other_words","67":"in_particular,","68":"in_short,","69":"in_sum,","70":"in_the_end,","71":"in_the_meantime,","72":"in_turn,","73":"incidentally,","74":"increasingly,","75":"indeed,","76":"inevitably,","77":"initially,","78":"instead,","79":"interestingly,","80":"ironically,","81":"lastly,","82":"lately,","83":"later,","84":"likewise,","85":"locally,","86":"luckily,","87":"maybe,","88":"meaning,","89":"meantime,","90":"meanwhile,","91":"moreover","92":"mostly,","93":"namely,","94":"nationally,","95":"naturally,","96":"nevertheless","97":"next,","98":"nonetheless","99":"normally,","100":"notably,","101":"now,","102":"obviously,","103":"occasionally,","104":"oddly,","105":"often,","106":"on_the_contrary,","107":"on_the_other_hand","108":"once,","109":"only,","110":"optionally,","111":"or,","112":"originally,","113":"otherwise,","114":"overall,","115":"particularly,","116":"perhaps,","117":"personally,","118":"plus,","119":"preferably,","120":"presently,","121":"presumably,","122":"previously,","123":"probably,","124":"rather,","125":"realistically,","126":"really,","127":"recently,","128":"regardless,","129":"remarkably,","130":"sadly,","131":"second,","132":"secondly,","133":"separately,","134":"seriously,","135":"significantly,","136":"similarly,","137":"simultaneously","138":"slowly,","139":"so,","140":"sometimes,","141":"soon,","142":"specifically,","143":"still,","144":"strangely,","145":"subsequently,","146":"suddenly,","147":"supposedly,","148":"surely,","149":"surprisingly,","150":"technically,","151":"thankfully,","152":"then,","153":"theoretically,","154":"thereafter,","155":"thereby,","156":"therefore","157":"third,","158":"thirdly,","159":"this,","160":"though,","161":"thus,","162":"together,","163":"traditionally,","164":"truly,","165":"truthfully,","166":"typically,","167":"ultimately,","168":"undoubtedly,","169":"unfortunately,","170":"unsurprisingly,","171":"usually,","172":"well,","173":"yet,"}}}},{"name":"idx","dtype":"int32"}]


hub_id: google-research-datasets/disfl_qa
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["squad_v2_id","original question","disfluent question","title","context","answers"]
tags:
["task_categories:question-answering","task_ids:extractive-qa","task_ids:open-domain-qa","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:10K<n<100K","arxiv:2106.04016","region:us"]

features:
[{"name":"squad_v2_id","dtype":"string"},{"name":"original question","dtype":"string"},{"name":"disfluent question","dtype":"string"},{"name":"title","dtype":"string"},{"name":"context","dtype":"string"},{"name":"answers","sequence":[{"name":"text","dtype":"string"},{"name":"answer_start","dtype":"int32"}]}]


hub_id: IBM/doc2dial
license: ["cc-by-3.0"]
language: ["en"]
config_name: doc2dial_rc
column_names: ["id","title","context","question","answers","domain"]
tags:
["task_categories:question-answering","task_ids:closed-domain-qa","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-3.0","size_categories:1K<n<10K","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answers","sequence":[{"name":"text","dtype":"string"},{"name":"answer_start","dtype":"int32"}]},{"name":"domain","dtype":"string"}]


hub_id: thunlp/docred
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["title","sents","vertexSet","labels"]
tags:
["task_categories:text-retrieval","task_ids:entity-linking-retrieval","annotations_creators:expert-generated","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:mit","size_categories:100K<n<1M","arxiv:1906.06127","region:us"]

features:
[{"name":"title","dtype":"string"},{"name":"sents","sequence":{"sequence":"string"}},{"name":"vertexSet","list":{"list":[{"name":"name","dtype":"string"},{"name":"sent_id","dtype":"int32"},{"name":"pos","sequence":"int32"},{"name":"type","dtype":"string"}]}},{"name":"labels","sequence":[{"name":"head","dtype":"int32"},{"name":"tail","dtype":"int32"},{"name":"relation_id","dtype":"string"},{"name":"relation_text","dtype":"string"},{"name":"evidence","sequence":"int32"}]}]


hub_id: community-datasets/doqa
tags: ["language:en","arxiv:2005.01328","region:us"]
license: []
language: ["en"]
config_name: travel
column_names: ["title","background","context","question","id","answers","followup","yesno","orig_answer"]
features:
[{"name":"title","dtype":"string"},{"name":"background","dtype":"string"},{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"id","dtype":"string"},{"name":"answers","sequence":[{"name":"text","dtype":"string"},{"name":"answer_start","dtype":"int32"}]},{"name":"followup","dtype":"string"},{"name":"yesno","dtype":"string"},{"name":"orig_answer","sequence":[{"name":"text","dtype":"string"},{"name":"answer_start","dtype":"int32"}]}]


hub_id: dataset-org/dream
license: ["unknown"]
language: ["en"]
config_name: plain_text
column_names: ["id","dialogue_id","dialogue","question","choice","answer"]
tags:
["task_categories:question-answering","task_ids:multiple-choice-qa","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","size_categories:10K<n<100K","source_datasets:original","language:en","license:unknown","region:us"]

features:
[{"name":"id","dtype":"int32"},{"name":"dialogue_id","dtype":"string"},{"name":"dialogue","sequence":"string"},{"name":"question","dtype":"string"},{"name":"choice","sequence":"string"},{"name":"answer","dtype":"string"}]


hub_id: ucinlp/drop
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: default
column_names: ["section_id","query_id","passage","question","answers_spans"]
tags:
["task_categories:question-answering","task_categories:text2text-generation","task_ids:extractive-qa","task_ids:abstractive-qa","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-sa-4.0","size_categories:10M<n<100M","parquet","text","datasets","pandas","mlcroissant","arxiv:1903.00161","region:us","croissant"]

features:
[{"name":"section_id","dtype":"string"},{"name":"query_id","dtype":"string"},{"name":"passage","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answers_spans","sequence":[{"name":"spans","dtype":"string"},{"name":"types","dtype":"string"}]}]


hub_id: ibm/duorc
license: ["mit"]
language: ["en"]
config_name: SelfRC
column_names: ["plot_id","plot","title","question_id","question","answers","no_answer"]
tags:
["task_categories:question-answering","task_categories:text2text-generation","task_ids:abstractive-qa","task_ids:extractive-qa","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:mit","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","arxiv:1804.07927","region:us","croissant"]

features:
[{"name":"plot_id","dtype":"string"},{"name":"plot","dtype":"string"},{"name":"title","dtype":"string"},{"name":"question_id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answers","sequence":"string"},{"name":"no_answer","dtype":"bool"}]


hub_id: corona-tweet/dutch_social
license: ["cc-by-nc-4.0"]
language: ["en","nl"]
config_name: dutch_social
tags:
["task_categories:text-classification","task_ids:sentiment-classification","task_ids:multi-label-classification","annotations_creators:machine-generated","language_creators:crowdsourced","multilinguality:multilingual","source_datasets:original","language:en","language:nl","license:cc-by-nc-4.0","size_categories:100K<n<1M","region:us"]

column_names:
["full_text","text_translation","screen_name","description","desc_translation","location","weekofyear","weekday","month","year","day","point_info","point","latitude","longitude","altitude","province","hisco_standard","hisco_code","industry","sentiment_pattern","subjective_pattern","label"]

features:
[{"name":"full_text","dtype":"string"},{"name":"text_translation","dtype":"string"},{"name":"screen_name","dtype":"string"},{"name":"description","dtype":"string"},{"name":"desc_translation","dtype":"string"},{"name":"location","dtype":"string"},{"name":"weekofyear","dtype":"int64"},{"name":"weekday","dtype":"int64"},{"name":"month","dtype":"int64"},{"name":"year","dtype":"int64"},{"name":"day","dtype":"int64"},{"name":"point_info","dtype":"string"},{"name":"point","dtype":"string"},{"name":"latitude","dtype":"float64"},{"name":"longitude","dtype":"float64"},{"name":"altitude","dtype":"float64"},{"name":"province","dtype":"string"},{"name":"hisco_standard","dtype":"string"},{"name":"hisco_code","dtype":"string"},{"name":"industry","dtype":"bool_"},{"name":"sentiment_pattern","dtype":"float64"},{"name":"subjective_pattern","dtype":"float64"},{"name":"label","dtype":{"class_label":{"names":{"0":"neg","1":"neu","2":"pos"}}}}]


hub_id: community-datasets/dyk
license: ["bsd-3-clause"]
language: ["pl"]
config_name: default
column_names: ["q_id","question","answer","target"]
tags:
["task_categories:question-answering","task_ids:open-domain-qa","annotations_creators:expert-generated","language_creators:other","multilinguality:monolingual","source_datasets:original","language:pl","license:bsd-3-clause","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"q_id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"target","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}}]


hub_id: tuetschek/e2e_nlg
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: default
column_names: ["meaning_representation","human_reference"]
features: [{"name":"meaning_representation","dtype":"string"},{"name":"human_reference","dtype":"string"}]
tags:
["task_categories:text2text-generation","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-sa-4.0","size_categories:10K<n<100K","arxiv:1706.09254","arxiv:1901.11528","region:us","meaning-representation-to-text"]


hub_id: Helsinki-NLP/ecb
license: ["unknown"]
language: ["cs","da","de","el","en","es","et","fi","fr","hu","it","lt","lv","mt","nl","pl","pt","sk","sl"]
config_name: fi-pl
column_names: ["id","translation"]
tags:
["task_categories:translation","annotations_creators:found","language_creators:found","multilinguality:multilingual","source_datasets:original","language:cs","language:da","language:de","language:el","language:en","language:es","language:et","language:fi","language:fr","language:hu","language:it","language:lt","language:lv","language:mt","language:nl","language:pl","language:pt","language:sk","language:sl","license:unknown","size_categories:100K<n<1M","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"translation","dtype":{"translation":{"languages":["fi","pl"]}}}]


hub_id: AUEB-NLP/ecthr_cases
license: ["cc-by-nc-sa-4.0"]
language: ["en"]
config_name: violation-prediction
column_names: ["facts","labels","silver_rationales"]
tags:
["task_categories:text-classification","task_ids:multi-label-classification","annotations_creators:expert-generated","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-nc-sa-4.0","size_categories:10K<n<100K","arxiv:2103.13084","region:us","rationale-extraction","legal-judgment-prediction"]

features:
[{"name":"facts","sequence":"string"},{"name":"labels","sequence":"string"},{"name":"silver_rationales","sequence":"int32"}]


hub_id: tugstugi/eduge
license: ["unknown"]
language: ["mn"]
config_name: default
column_names: ["news","label"]
tags:
["task_categories:text-classification","task_ids:multi-class-classification","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:mn","license:unknown","size_categories:10K<n<100K","region:us"]

features:
[{"name":"news","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"\u0443\u0440\u043b\u0430\u0433 \u0441\u043e\u0451\u043b","1":"\u044d\u0434\u0438\u0439\u043d \u0437\u0430\u0441\u0430\u0433","2":"\u044d\u0440\u04af\u04af\u043b \u043c\u044d\u043d\u0434","3":"\u0445\u0443\u0443\u043b\u044c","4":"\u0443\u043b\u0441 \u0442\u04e9\u0440","5":"\u0441\u043f\u043e\u0440\u0442","6":"\u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438","7":"\u0431\u043e\u043b\u043e\u0432\u0441\u0440\u043e\u043b","8":"\u0431\u0430\u0439\u0433\u0430\u043b \u043e\u0440\u0447\u0438\u043d"}}}}]


hub_id: community-datasets/ehealth_kd
license: ["cc-by-nc-sa-4.0"]
language: ["es"]
config_name: ehealth_kd
column_names: ["sentence","entities","relations"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:es","license:cc-by-nc-sa-4.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","relation-prediction","croissant"]

features:
[{"name":"sentence","dtype":"string"},{"name":"entities","list":[{"name":"ent_id","dtype":"string"},{"name":"ent_text","dtype":"string"},{"name":"ent_label","dtype":{"class_label":{"names":{"0":"Concept","1":"Action","2":"Predicate","3":"Reference"}}}},{"name":"start_character","dtype":"int32"},{"name":"end_character","dtype":"int32"}]},{"name":"relations","list":[{"name":"rel_id","dtype":"string"},{"name":"rel_label","dtype":{"class_label":{"names":{"0":"is-a","1":"same-as","2":"has-property","3":"part-of","4":"causes","5":"entails","6":"in-time","7":"in-place","8":"in-context","9":"subject","10":"target","11":"domain","12":"arg"}}}},{"name":"arg1","dtype":"string"},{"name":"arg2","dtype":"string"}]}]


hub_id: Helsinki-NLP/eitb_parcc
license: ["cc-by-nc-sa-4.0"]
language: ["es","eu"]
config_name: es-eu
column_names: ["translation"]
features: [{"name":"translation","dtype":{"translation":{"languages":["es","eu"]}}}]
tags:
["task_categories:translation","annotations_creators:found","language_creators:found","multilinguality:multilingual","source_datasets:original","language:es","language:eu","license:cc-by-nc-sa-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: tulipa762/electricity_load_diagrams
license: ["unknown"]
language: []
config_name: lstnet
column_names: ["start","target","feat_static_cat","item_id"]
tags:
["task_categories:time-series-forecasting","task_ids:univariate-time-series-forecasting","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","size_categories:1K<n<10K","source_datasets:original","license:unknown","region:us"]

features:
[{"name":"start","dtype":"timestamp[s]"},{"name":"target","sequence":"float32"},{"name":"feat_static_cat","sequence":"uint64"},{"name":"item_id","dtype":"string"}]


hub_id: defunct-datasets/eli5
license: ["unknown"]
language: ["en"]
config_name: LFQA_reddit
tags:
["task_categories:text2text-generation","task_ids:abstractive-qa","task_ids:open-domain-abstractive-qa","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:100K<n<1M","arxiv:1907.09190","arxiv:1904.04047","region:us"]

column_names:
["q_id","title","selftext","document","subreddit","answers","title_urls","selftext_urls","answers_urls"]

features:
[{"name":"q_id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"selftext","dtype":"string"},{"name":"document","dtype":"string"},{"name":"subreddit","dtype":"string"},{"name":"answers","sequence":[{"name":"a_id","dtype":"string"},{"name":"text","dtype":"string"},{"name":"score","dtype":"int32"}]},{"name":"title_urls","sequence":[{"name":"url","dtype":"string"}]},{"name":"selftext_urls","sequence":[{"name":"url","dtype":"string"}]},{"name":"answers_urls","sequence":[{"name":"url","dtype":"string"}]}]


hub_id: rexarski/eli5_category
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["q_id","title","selftext","category","subreddit","answers","title_urls","selftext_urls"]
tags:
["task_categories:text2text-generation","task_ids:abstractive-qa","task_ids:open-domain-abstractive-qa","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:extended|eli5","language:en","license:unknown","size_categories:100K<n<1M","region:us"]

features:
[{"name":"q_id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"selftext","dtype":"string"},{"name":"category","dtype":"string"},{"name":"subreddit","dtype":"string"},{"name":"answers","struct":[{"name":"a_id","sequence":"string"},{"name":"text","sequence":"string"},{"name":"score","sequence":"int32"},{"name":"text_urls","sequence":{"sequence":"string"}}]},{"name":"title_urls","sequence":"string"},{"name":"selftext_urls","sequence":"string"}]


hub_id: Helsinki-NLP/emea
license: ["unknown"]
config_name: es-lt
column_names: ["id","translation"]
tags:
["task_categories:translation","annotations_creators:found","language_creators:found","multilinguality:multilingual","source_datasets:original","language:bg","language:cs","language:da","language:de","language:el","language:en","language:es","language:et","language:fi","language:fr","language:hu","language:it","language:lt","language:lv","language:mt","language:nl","language:pl","language:pt","language:ro","language:sk","language:sl","language:sv","license:unknown","size_categories:1M<n<10M","region:us"]

language:
["bg","cs","da","de","el","en","es","et","fi","fr","hu","it","lt","lv","mt","nl","pl","pt","ro","sk","sl","sv"]

features:
[{"name":"id","dtype":"string"},{"name":"translation","dtype":{"translation":{"languages":["es","lt"]}}}]


hub_id: SemEvalWorkshop/emo
license: ["unknown"]
language: ["en"]
config_name: emo2019
column_names: ["text","label"]
tags:
["task_categories:text-classification","task_ids:sentiment-classification","annotations_creators:expert-generated","language_creators:crowdsourced","multilinguality:monolingual","size_categories:10K<n<100K","source_datasets:original","language:en","license:unknown","region:us"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"others","1":"happy","2":"sad","3":"angry"}}}}]


hub_id: dair-ai/emotion
license: ["other"]
language: ["en"]
config_name: unsplit
column_names: ["text","label"]
tags:
["task_categories:text-classification","task_ids:multi-class-classification","annotations_creators:machine-generated","language_creators:machine-generated","multilinguality:monolingual","source_datasets:original","language:en","license:other","size_categories:100M<n<1B","text","datasets","mlcroissant","region:us","emotion-classification","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"sadness","1":"joy","2":"love","3":"anger","4":"fear","5":"surprise"}}}}]


hub_id: emotone-ar-cicling2017/emotone_ar
license: ["unknown"]
language: ["ar"]
config_name: default
column_names: ["tweet","label"]
tags:
["task_categories:text-classification","task_ids:sentiment-classification","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:ar","license:unknown","size_categories:10K<n<100K","region:us"]

features:
[{"name":"tweet","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"none","1":"anger","2":"joy","3":"sadness","4":"love","5":"sympathy","6":"surprise","7":"fear"}}}}]


hub_id: facebook/empathetic_dialogues
license: ["cc-by-nc-4.0"]
language: ["en"]
config_name: default
column_names: ["conv_id","utterance_idx","context","prompt","speaker_idx","utterance","selfeval","tags"]
tags:
["task_categories:question-answering","task_ids:dialogue-generation","task_ids:open-domain-qa","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","size_categories:10K<n<100K","source_datasets:original","language:en","license:cc-by-nc-4.0","arxiv:1811.00207","region:us"]

features:
[{"name":"conv_id","dtype":"string"},{"name":"utterance_idx","dtype":"int32"},{"name":"context","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"speaker_idx","dtype":"int32"},{"name":"utterance","dtype":"string"},{"name":"selfeval","dtype":"string"},{"name":"tags","dtype":"string"}]


hub_id: ThiagoCF05/enriched_web_nlg
license: ["cc-by-sa-4.0"]
language: ["de","en"]
config_name: de
column_names: ["category","size","eid","original_triple_sets","modified_triple_sets","shape","shape_type","lex"]
tags:
["task_categories:tabular-to-text","task_ids:rdf-to-text","annotations_creators:found","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:extended|other-web-nlg","language:de","language:en","license:cc-by-sa-4.0","size_categories:1K<n<10K","region:us"]

features:
[{"name":"category","dtype":"string"},{"name":"size","dtype":"int32"},{"name":"eid","dtype":"string"},{"name":"original_triple_sets","sequence":[{"name":"otriple_set","sequence":"string"}]},{"name":"modified_triple_sets","sequence":[{"name":"mtriple_set","sequence":"string"}]},{"name":"shape","dtype":"string"},{"name":"shape_type","dtype":"string"},{"name":"lex","sequence":[{"name":"comment","dtype":"string"},{"name":"lid","dtype":"string"},{"name":"text","dtype":"string"},{"name":"template","dtype":"string"},{"name":"sorted_triple_sets","sequence":"string"}]}]


hub_id: CogComp/eraser_multi_rc
license: ["other"]
language: ["en"]
config_name: default
column_names: ["passage","query_and_answer","label","evidences"]
tags:
["task_categories:multiple-choice","task_ids:multiple-choice-qa","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:other","size_categories:10K<n<100K","region:us"]

features:
[{"name":"passage","dtype":"string"},{"name":"query_and_answer","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"False","1":"True"}}}},{"name":"evidences","sequence":"string"}]


hub_id: esnli/esnli
tags: ["language:en","region:us"]
license: []
language: ["en"]
config_name: plain_text
column_names: ["premise","hypothesis","label","explanation_1","explanation_2","explanation_3"]
features:
[{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"entailment","1":"neutral","2":"contradiction"}}}},{"name":"explanation_1","dtype":"string"},{"name":"explanation_2","dtype":"string"},{"name":"explanation_3","dtype":"string"}]


hub_id: google-research-datasets/eth_py150_open
license: ["apache-2.0"]
language: ["en"]
config_name: eth_py150_open
column_names: ["filepath","license"]
features: [{"name":"filepath","dtype":"string"},{"name":"license","dtype":"string"}]
tags:
["task_categories:other","annotations_creators:no-annotation","language_creators:machine-generated","multilinguality:monolingual","source_datasets:original","language:en","license:apache-2.0","size_categories:100K<n<1M","region:us","contextual-embeddings"]


hub_id: iamollas/ethos
license: ["agpl-3.0"]
language: ["en"]
config_name: multilabel
tags:
["task_categories:text-classification","task_ids:multi-label-classification","task_ids:sentiment-classification","annotations_creators:crowdsourced","annotations_creators:expert-generated","language_creators:found","language_creators:other","multilinguality:monolingual","source_datasets:original","language:en","license:agpl-3.0","size_categories:n<1K","arxiv:2006.08328","region:us","Hate Speech Detection"]

column_names:
["text","violence","directed_vs_generalized","gender","race","national_origin","disability","religion","sexual_orientation"]

features:
[{"name":"text","dtype":"string"},{"name":"violence","dtype":{"class_label":{"names":{"0":"not_violent","1":"violent"}}}},{"name":"directed_vs_generalized","dtype":{"class_label":{"names":{"0":"generalied","1":"directed"}}}},{"name":"gender","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"race","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"national_origin","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"disability","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"religion","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}},{"name":"sexual_orientation","dtype":{"class_label":{"names":{"0":"false","1":"true"}}}}]


hub_id: community-datasets/eu_regulatory_ir
license: ["cc-by-nc-sa-4.0"]
language: ["en"]
config_name: uk2eu
column_names: ["document_id","publication_year","text","relevant_documents"]
tags:
["task_categories:text-retrieval","task_ids:document-retrieval","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-nc-sa-4.0","size_categories:10K<n<100K","parquet","text","datasets","dask","mlcroissant","arxiv:2101.10726","region:us","document-to-document-retrieval","croissant"]

features:
[{"name":"document_id","dtype":"string"},{"name":"publication_year","dtype":"string"},{"name":"text","dtype":"string"},{"name":"relevant_documents","sequence":"string"}]


hub_id: NLP-AUEB/eurlex
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: eurlex57k
column_names: ["celex_id","title","text","eurovoc_concepts"]
tags:
["task_categories:text-classification","task_ids:multi-label-classification","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-sa-4.0","size_categories:10K<n<100K","region:us","legal-topic-classification"]

features:
[{"name":"celex_id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"eurovoc_concepts","sequence":"string"}]


hub_id: community-datasets/euronews
license: ["cc0-1.0"]
language: ["de","fr","nl"]
config_name: nl-kb
column_names: ["id","tokens","ner_tags"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","annotations_creators:expert-generated","language_creators:crowdsourced","multilinguality:multilingual","source_datasets:original","language:de","language:fr","language:nl","license:cc0-1.0","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-PER","2":"I-PER","3":"B-ORG","4":"I-ORG","5":"B-LOC","6":"I-LOC"}}}}]


hub_id: community-datasets/europa_eac_tm
license: ["cc-by-4.0"]
config_name: en2tr
column_names: ["translation","sentence_type"]
tags:
["task_categories:translation","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:translation","source_datasets:original","language:bg","language:cs","language:da","language:de","language:el","language:en","language:es","language:et","language:fi","language:fr","language:hr","language:hu","language:is","language:it","language:lt","language:lv","language:mt","language:nl","language:no","language:pl","language:pt","language:ro","language:sk","language:sl","language:sv","language:tr","license:cc-by-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

language:
["bg","cs","da","de","el","en","es","et","fi","fr","hr","hu","is","it","lt","lv","mt","nl","no","pl","pt","ro","sk","sl","sv","tr"]

features:
[{"name":"translation","dtype":{"translation":{"languages":["en","tr"]}}},{"name":"sentence_type","dtype":{"class_label":{"names":{"0":"form_data","1":"sentence_data"}}}}]


hub_id: community-datasets/europa_ecdc_tm
license: ["cc-by-sa-4.0"]
config_name: en2sv
column_names: ["translation"]
features: [{"name":"translation","dtype":{"translation":{"languages":["en","sv"]}}}]
tags:
["task_categories:translation","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:translation","source_datasets:original","language:bg","language:cs","language:da","language:de","language:el","language:en","language:es","language:et","language:fi","language:fr","language:ga","language:hu","language:is","language:it","language:lt","language:lv","language:mt","language:nl","language:no","language:pl","language:pt","language:ro","language:sk","language:sl","language:sv","license:cc-by-sa-4.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

language:
["bg","cs","da","de","el","en","es","et","fi","fr","ga","hu","is","it","lt","lv","mt","nl","no","pl","pt","ro","sk","sl","sv"]


hub_id: Helsinki-NLP/europarl
license: ["unknown"]
config_name: sl-sv
column_names: ["translation"]
features: [{"name":"translation","dtype":{"translation":{"languages":["sl","sv"]}}}]
tags:
["task_categories:translation","annotations_creators:found","language_creators:found","multilinguality:translation","source_datasets:original","language:bg","language:cs","language:da","language:de","language:el","language:en","language:es","language:et","language:fi","language:fr","language:hu","language:it","language:lt","language:lv","language:nl","language:pl","language:pt","language:ro","language:sk","language:sl","language:sv","license:unknown","size_categories:100M<n<1B","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

language:
["bg","cs","da","de","el","en","es","et","fi","fr","hu","it","lt","lv","nl","pl","pt","ro","sk","sl","sv"]


hub_id: uwnlp/event2Mind
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["Source","Event","Xintent","Xemotion","Otheremotion","Xsent","Osent"]
tags:
["task_categories:text2text-generation","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:10K<n<100K","arxiv:1805.06939","region:us","common-sense-inference"]

features:
[{"name":"Source","dtype":"string"},{"name":"Event","dtype":"string"},{"name":"Xintent","dtype":"string"},{"name":"Xemotion","dtype":"string"},{"name":"Otheremotion","dtype":"string"},{"name":"Xsent","dtype":"string"},{"name":"Osent","dtype":"string"}]


hub_id: jaydeyoung/evidence_infer_treatment
license: ["mit"]
language: ["en"]
config_name: 1.1
column_names: ["Text","PMCID","Prompts"]
tags:
["task_categories:text-retrieval","task_ids:fact-checking-retrieval","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:en","license:mit","size_categories:1K<n<10K","arxiv:2005.04177","region:us"]

features:
[{"name":"Text","dtype":"string"},{"name":"PMCID","dtype":"int32"},{"name":"Prompts","sequence":[{"name":"PromptID","dtype":"int32"},{"name":"PMCID","dtype":"int32"},{"name":"Outcome","dtype":"string"},{"name":"Intervention","dtype":"string"},{"name":"Comparator","dtype":"string"},{"name":"Annotations","sequence":[{"name":"UserID","dtype":"int32"},{"name":"PromptID","dtype":"int32"},{"name":"PMCID","dtype":"int32"},{"name":"Valid Label","dtype":"bool"},{"name":"Valid Reasoning","dtype":"bool"},{"name":"Label","dtype":"string"},{"name":"Annotations","dtype":"string"},{"name":"Label Code","dtype":"int32"},{"name":"In Abstract","dtype":"bool"},{"name":"Evidence Start","dtype":"int32"},{"name":"Evidence End","dtype":"int32"}]}]}]


hub_id: mhardalov/exams
license: ["cc-by-sa-4.0"]
language: ["ar","bg","de","es","fr","hr","hu","it","lt","mk","pl","pt","sq","sr","tr","vi"]
config_name: multilingual_with_para
column_names: ["id","question","answerKey","info"]
tags:
["task_categories:question-answering","task_ids:multiple-choice-qa","annotations_creators:found","language_creators:found","multilinguality:monolingual","multilinguality:multilingual","source_datasets:original","language:ar","language:bg","language:de","language:es","language:fr","language:hr","language:hu","language:it","language:lt","language:mk","language:pl","language:pt","language:sq","language:sr","language:tr","language:vi","license:cc-by-sa-4.0","size_categories:10M<n<100M","parquet","text","datasets","pandas","mlcroissant","arxiv:2011.03080","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"question","struct":[{"name":"stem","dtype":"string"},{"name":"choices","sequence":[{"name":"text","dtype":"string"},{"name":"label","dtype":"string"},{"name":"para","dtype":"string"}]}]},{"name":"answerKey","dtype":"string"},{"name":"info","struct":[{"name":"grade","dtype":"int32"},{"name":"subject","dtype":"string"},{"name":"language","dtype":"string"}]}]


hub_id: factckbr/factckbr
license: ["mit"]
language: ["pt"]
config_name: default
column_names: ["url","author","date","claim","review","title","rating","best_rating","label"]
tags:
["task_categories:text-classification","task_ids:fact-checking","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:pt","license:mit","size_categories:1K<n<10K","region:us"]

features:
[{"name":"url","dtype":"string"},{"name":"author","dtype":"string"},{"name":"date","dtype":"string"},{"name":"claim","dtype":"string"},{"name":"review","dtype":"string"},{"name":"title","dtype":"string"},{"name":"rating","dtype":"float32"},{"name":"best_rating","dtype":"float32"},{"name":"label","dtype":{"class_label":{"names":{"0":"falso","1":"distorcido","2":"impreciso","3":"exagerado","4":"insustent\u00e1vel","5":"verdadeiro","6":"outros","7":"subestimado","8":"imposs\u00edvel provar","9":"discut\u00edvel","10":"sem contexto","11":"de olho","12":"verdadeiro, mas","13":"ainda \u00e9 cedo para dizer"}}}}]


hub_id: community-datasets/fake_news_english
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["article_number","url_of_article","fake_or_satire","url_of_rebutting_article"]
tags:
["task_categories:text-classification","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"article_number","dtype":"int32"},{"name":"url_of_article","dtype":"string"},{"name":"fake_or_satire","dtype":{"class_label":{"names":{"0":"Satire","1":"Fake"}}}},{"name":"url_of_rebutting_article","dtype":"string"}]


hub_id: jcblaise/fake_news_filipino
license: ["unknown"]
language: ["tl"]
config_name: default
column_names: ["label","article"]
tags:
["task_categories:text-classification","task_ids:fact-checking","annotations_creators:expert-generated","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:tl","license:unknown","size_categories:1K<n<10K","region:us"]

features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"article","dtype":"string"}]


hub_id: community-datasets/farsi_news
license: ["unknown"]
language: ["fa"]
config_name: default
column_names: ["title","summary","link","tags"]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:fa","license:unknown","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"title","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"link","dtype":"string"},{"name":"tags","sequence":"string"}]


hub_id: zalando-datasets/fashion_mnist
license: ["mit"]
language: ["en"]
config_name: fashion_mnist
column_names: ["image","label"]
tags:
["task_categories:image-classification","task_ids:multi-class-image-classification","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:mit","size_categories:10M<n<100M","image","datasets","mlcroissant","arxiv:1708.07747","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"T - shirt / top","1":"Trouser","2":"Pullover","3":"Dress","4":"Coat","5":"Sandal","6":"Shirt","7":"Sneaker","8":"Bag","9":"Ankle boot"}}}}]


hub_id: fever/fever
license: ["cc-by-sa-3.0","gpl-3.0"]
language: ["en"]
config_name: wiki_pages
column_names: ["id","text","lines"]
features: [{"name":"id","dtype":"string"},{"name":"text","dtype":"string"},{"name":"lines","dtype":"string"}]
tags:
["task_categories:text-classification","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","size_categories:100K<n<1M","source_datasets:extended|wikipedia","language:en","license:cc-by-sa-3.0","license:gpl-3.0","knowledge-verification","region:us"]


hub_id: thunlp/few_rel
license: ["mit"]
language: ["en"]
config_name: pid2name
column_names: ["relation","names"]
features: [{"name":"relation","dtype":"string"},{"name":"names","sequence":"string"}]
tags:
["task_categories:other","annotations_creators:crowdsourced","annotations_creators:machine-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:mit","size_categories:10K<n<100K","arxiv:1810.10147","arxiv:1910.07124","region:us","relation-extraction"]


hub_id: takala/financial_phrasebank
license: ["cc-by-nc-sa-3.0"]
language: ["en"]
config_name: sentences_50agree
column_names: ["sentence","label"]
tags:
["task_categories:text-classification","task_ids:multi-class-classification","task_ids:sentiment-classification","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","size_categories:1K<n<10K","source_datasets:original","language:en","license:cc-by-nc-sa-3.0","finance","arxiv:1307.5336","region:us"]

features:
[{"name":"sentence","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"negative","1":"neutral","2":"positive"}}}}]


hub_id: mpsilfve/finer
license: ["mit"]
language: ["fi"]
config_name: finer
column_names: ["id","tokens","ner_tags","nested_ner_tags"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","annotations_creators:expert-generated","language_creators:other","multilinguality:monolingual","source_datasets:original","language:fi","license:mit","size_categories:10K<n<100K","arxiv:1908.04212","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-DATE","2":"B-EVENT","3":"B-LOC","4":"B-ORG","5":"B-PER","6":"B-PRO","7":"I-DATE","8":"I-EVENT","9":"I-LOC","10":"I-ORG","11":"I-PER","12":"I-PRO"}}}},{"name":"nested_ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-DATE","2":"B-EVENT","3":"B-LOC","4":"B-ORG","5":"B-PER","6":"B-PRO","7":"I-DATE","8":"I-EVENT","9":"I-LOC","10":"I-ORG","11":"I-PER","12":"I-PRO"}}}}]


hub_id: facebook-llama/flores
license: ["cc-by-4.0"]
language: ["en","ne","si"]
config_name: sien
column_names: ["translation"]
features: [{"name":"translation","dtype":{"translation":{"languages":["si","en"]}}}]
tags:
["task_categories:translation","annotations_creators:found","language_creators:found","multilinguality:translation","source_datasets:extended|wikipedia","source_datasets:extended|opus_gnome","source_datasets:extended|opus_ubuntu","source_datasets:extended|open_subtitles","source_datasets:extended|paracrawl","source_datasets:extended|bible_para","source_datasets:extended|kde4","source_datasets:extended|other-global-voices","source_datasets:extended|other-common-crawl","language:en","language:ne","language:si","license:cc-by-4.0","size_categories:1K<n<10K","arxiv:1902.01382","region:us"]


hub_id: GETALP/flue
license: ["unknown"]
language: ["fr"]
config_name: WSD-V
tags:
["task_categories:text-classification","task_ids:intent-classification","task_ids:semantic-similarity-classification","task_ids:sentiment-classification","annotations_creators:crowdsourced","annotations_creators:machine-generated","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:fr","license:unknown","size_categories:10K<n<100K","arxiv:1912.05372","region:us","Word Sense Disambiguation for Verbs"]

column_names:
["sentence","pos_tags","lemmas","fine_pos_tags","disambiguate_tokens_ids","disambiguate_labels","idx"]

features:
[{"name":"sentence","sequence":"string"},{"name":"pos_tags","sequence":"string"},{"name":"lemmas","sequence":"string"},{"name":"fine_pos_tags","sequence":"string"},{"name":"disambiguate_tokens_ids","sequence":"int32"},{"name":"disambiguate_labels","sequence":"string"},{"name":"idx","dtype":"string"}]


hub_id: ethz/food101
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["image","label"]
tags:
["task_categories:image-classification","task_ids:multi-class-image-classification","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:extended|other-foodspotting","language:en","license:unknown","size_categories:10M<n<100M","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"apple_pie","1":"baby_back_ribs","2":"baklava","3":"beef_carpaccio","4":"beef_tartare","5":"beet_salad","6":"beignets","7":"bibimbap","8":"bread_pudding","9":"breakfast_burrito","10":"bruschetta","11":"caesar_salad","12":"cannoli","13":"caprese_salad","14":"carrot_cake","15":"ceviche","16":"cheesecake","17":"cheese_plate","18":"chicken_curry","19":"chicken_quesadilla","20":"chicken_wings","21":"chocolate_cake","22":"chocolate_mousse","23":"churros","24":"clam_chowder","25":"club_sandwich","26":"crab_cakes","27":"creme_brulee","28":"croque_madame","29":"cup_cakes","30":"deviled_eggs","31":"donuts","32":"dumplings","33":"edamame","34":"eggs_benedict","35":"escargots","36":"falafel","37":"filet_mignon","38":"fish_and_chips","39":"foie_gras","40":"french_fries","41":"french_onion_soup","42":"french_toast","43":"fried_calamari","44":"fried_rice","45":"frozen_yogurt","46":"garlic_bread","47":"gnocchi","48":"greek_salad","49":"grilled_cheese_sandwich","50":"grilled_salmon","51":"guacamole","52":"gyoza","53":"hamburger","54":"hot_and_sour_soup","55":"hot_dog","56":"huevos_rancheros","57":"hummus","58":"ice_cream","59":"lasagna","60":"lobster_bisque","61":"lobster_roll_sandwich","62":"macaroni_and_cheese","63":"macarons","64":"miso_soup","65":"mussels","66":"nachos","67":"omelette","68":"onion_rings","69":"oysters","70":"pad_thai","71":"paella","72":"pancakes","73":"panna_cotta","74":"peking_duck","75":"pho","76":"pizza","77":"pork_chop","78":"poutine","79":"prime_rib","80":"pulled_pork_sandwich","81":"ramen","82":"ravioli","83":"red_velvet_cake","84":"risotto","85":"samosa","86":"sashimi","87":"scallops","88":"seaweed_salad","89":"shrimp_and_grits","90":"spaghetti_bolognese","91":"spaghetti_carbonara","92":"spring_rolls","93":"steak","94":"strawberry_shortcake","95":"sushi","96":"tacos","97":"takoyaki","98":"tiramisu","99":"tuna_tartare","100":"waffles"}}}}]


hub_id: illuin/fquad
license: ["cc-by-nc-sa-3.0"]
language: ["fr"]
config_name: default
column_names: ["context","questions","answers"]
tags:
["task_categories:question-answering","task_categories:text-retrieval","task_ids:extractive-qa","task_ids:closed-domain-qa","annotations_creators:crowdsourced","language_creators:crowdsourced","language_creators:found","multilinguality:monolingual","size_categories:1K<n<10K","source_datasets:original","language:fr","license:cc-by-nc-sa-3.0","arxiv:2002.06071","region:us"]

features:
[{"name":"context","dtype":"string"},{"name":"questions","sequence":"string"},{"name":"answers","sequence":[{"name":"texts","dtype":"string"},{"name":"answers_starts","dtype":"int32"}]}]


hub_id: KelvinJiang/freebase_qa
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["Question-ID","RawQuestion","ProcessedQuestion","Parses"]
tags:
["task_categories:question-answering","task_ids:open-domain-qa","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:extended|trivia_qa","language:en","license:unknown","size_categories:10K<n<100K","region:us"]

features:
[{"name":"Question-ID","dtype":"string"},{"name":"RawQuestion","dtype":"string"},{"name":"ProcessedQuestion","dtype":"string"},{"name":"Parses","sequence":[{"name":"Parse-Id","dtype":"string"},{"name":"PotentialTopicEntityMention","dtype":"string"},{"name":"TopicEntityName","dtype":"string"},{"name":"TopicEntityMid","dtype":"string"},{"name":"InferentialChain","dtype":"string"},{"name":"Answers","sequence":[{"name":"AnswersMid","dtype":"string"},{"name":"AnswersName","sequence":"string"}]}]}]


hub_id: google-research-datasets/gap
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["ID","Text","Pronoun","Pronoun-offset","A","A-offset","A-coref","B","B-offset","B-coref","URL"]
tags:
["task_categories:token-classification","task_ids:coreference-resolution","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:1K<n<10K","arxiv:1810.05201","region:us"]

features:
[{"name":"ID","dtype":"string"},{"name":"Text","dtype":"string"},{"name":"Pronoun","dtype":"string"},{"name":"Pronoun-offset","dtype":"int32"},{"name":"A","dtype":"string"},{"name":"A-offset","dtype":"int32"},{"name":"A-coref","dtype":"bool"},{"name":"B","dtype":"string"},{"name":"B-offset","dtype":"int32"},{"name":"B-coref","dtype":"bool"},{"name":"URL","dtype":"string"}]


hub_id: GEM/gem
license: ["other"]
language: ["cs","de","en","es","ru","tr","vi"]
config_name: schema_guided_dialog
tags:
["task_categories:fill-mask","task_categories:summarization","task_categories:table-to-text","task_categories:tabular-to-text","task_categories:text-generation","task_categories:text2text-generation","task_ids:dialogue-modeling","task_ids:rdf-to-text","task_ids:news-articles-summarization","task_ids:text-simplification","annotations_creators:crowdsourced","annotations_creators:found","language_creators:crowdsourced","language_creators:found","language_creators:machine-generated","multilinguality:monolingual","multilinguality:multilingual","source_datasets:extended|other-vision-datasets","source_datasets:original","language:cs","language:de","language:en","language:es","language:ru","language:tr","language:vi","license:other","size_categories:100K<n<1M","arxiv:2102.01672","region:us","intent-to-text","meaning-representation-to-text","concepts-to-text"]

column_names:
["gem_id","gem_parent_id","dialog_acts","context","dialog_id","service","turn_id","prompt","target","references"]

features:
[{"name":"gem_id","dtype":"string"},{"name":"gem_parent_id","dtype":"string"},{"name":"dialog_acts","list":[{"name":"act","dtype":{"class_label":{"names":{"0":"AFFIRM","1":"AFFIRM_INTENT","2":"CONFIRM","3":"GOODBYE","4":"INFORM","5":"INFORM_COUNT","6":"INFORM_INTENT","7":"NEGATE","8":"NEGATE_INTENT","9":"NOTIFY_FAILURE","10":"NOTIFY_SUCCESS","11":"OFFER","12":"OFFER_INTENT","13":"REQUEST","14":"REQUEST_ALTS","15":"REQ_MORE","16":"SELECT","17":"THANK_YOU"}}}},{"name":"slot","dtype":"string"},{"name":"values","list":"string"}]},{"name":"context","list":"string"},{"name":"dialog_id","dtype":"string"},{"name":"service","dtype":"string"},{"name":"turn_id","dtype":"int32"},{"name":"prompt","dtype":"string"},{"name":"target","dtype":"string"},{"name":"references","list":"string"}]


hub_id: airesearch/generated_reviews_enth
license: ["cc-by-sa-4.0"]
language: ["en","th"]
config_name: generated_reviews_enth
column_names: ["translation","review_star","correct"]
tags:
["task_categories:translation","task_categories:text-classification","task_ids:multi-class-classification","task_ids:semantic-similarity-classification","annotations_creators:expert-generated","annotations_creators:machine-generated","language_creators:machine-generated","multilinguality:translation","source_datasets:original","language:en","language:th","license:cc-by-sa-4.0","size_categories:100K<n<1M","arxiv:2007.03541","arxiv:1909.05858","region:us"]

features:
[{"name":"translation","dtype":{"translation":{"languages":["en","th"]}}},{"name":"review_star","dtype":"int32"},{"name":"correct","dtype":{"class_label":{"names":{"0":"neg","1":"pos"}}}}]


hub_id: community-datasets/generics_kb
license: ["cc-by-4.0"]
language: ["en"]
config_name: generics_kb_waterloo
tags:
["task_categories:other","annotations_creators:machine-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","arxiv:2005.00660","region:us","knowledge-base","croissant"]

column_names:
["source_name","sentence","sentences_before","sentences_after","concept_name","quantifiers","id","bert_score"]

features:
[{"name":"source_name","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"sentences_before","sequence":"string"},{"name":"sentences_after","sequence":"string"},{"name":"concept_name","dtype":"string"},{"name":"quantifiers","sequence":"string"},{"name":"id","dtype":"string"},{"name":"bert_score","dtype":"float64"}]


hub_id: elenanereiss/german_legal_entity_recognition
license: ["cc-by-4.0"]
language: ["de"]
config_name: all
column_names: ["id","tokens","ner_tags"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:de","license:cc-by-4.0","size_categories:n<1K","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"B-AN","1":"B-EUN","2":"B-GRT","3":"B-GS","4":"B-INN","5":"B-LD","6":"B-LDS","7":"B-LIT","8":"B-MRK","9":"B-ORG","10":"B-PER","11":"B-RR","12":"B-RS","13":"B-ST","14":"B-STR","15":"B-UN","16":"B-VO","17":"B-VS","18":"B-VT","19":"I-AN","20":"I-EUN","21":"I-GRT","22":"I-GS","23":"I-INN","24":"I-LD","25":"I-LDS","26":"I-LIT","27":"I-MRK","28":"I-ORG","29":"I-PER","30":"I-RR","31":"I-RS","32":"I-ST","33":"I-STR","34":"I-UN","35":"I-VO","36":"I-VS","37":"I-VT","38":"O"}}}}]


hub_id: tudarmstadt-lt/germaner
license: ["apache-2.0"]
language: ["de"]
config_name: default
column_names: ["id","tokens","ner_tags"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:de","license:apache-2.0","size_categories:10K<n<100K","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"B-LOC","1":"B-ORG","2":"B-OTH","3":"B-PER","4":"I-LOC","5":"I-ORG","6":"I-OTH","7":"I-PER","8":"O"}}}}]


hub_id: GermanEval/germeval_14
license: ["cc-by-4.0"]
language: ["de"]
config_name: germeval_14
column_names: ["id","source","tokens","ner_tags","nested_ner_tags"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:de","license:cc-by-4.0","size_categories:100K<n<1M","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"source","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-LOC","2":"I-LOC","3":"B-LOCderiv","4":"I-LOCderiv","5":"B-LOCpart","6":"I-LOCpart","7":"B-ORG","8":"I-ORG","9":"B-ORGderiv","10":"I-ORGderiv","11":"B-ORGpart","12":"I-ORGpart","13":"B-OTH","14":"I-OTH","15":"B-OTHderiv","16":"I-OTHderiv","17":"B-OTHpart","18":"I-OTHpart","19":"B-PER","20":"I-PER","21":"B-PERderiv","22":"I-PERderiv","23":"B-PERpart","24":"I-PERpart"}}}},{"name":"nested_ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-LOC","2":"I-LOC","3":"B-LOCderiv","4":"I-LOCderiv","5":"B-LOCpart","6":"I-LOCpart","7":"B-ORG","8":"I-ORG","9":"B-ORGderiv","10":"I-ORGderiv","11":"B-ORGpart","12":"I-ORGpart","13":"B-OTH","14":"I-OTH","15":"B-OTHderiv","16":"I-OTHderiv","17":"B-OTHpart","18":"I-OTHpart","19":"B-PER","20":"I-PER","21":"B-PERderiv","22":"I-PERderiv","23":"B-PERpart","24":"I-PERpart"}}}}]


hub_id: Helsinki-NLP/giga_fren
license: ["unknown"]
language: ["en","fr"]
config_name: en-fr
column_names: ["id","translation"]
tags:
["task_categories:translation","annotations_creators:found","language_creators:found","multilinguality:multilingual","source_datasets:original","language:en","language:fr","license:unknown","size_categories:10M<n<100M","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"translation","dtype":{"translation":{"languages":["en","fr"]}}}]


hub_id: Harvard/gigaword
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["document","summary"]
features: [{"name":"document","dtype":"string"},{"name":"summary","dtype":"string"}]
tags:
["task_categories:summarization","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:extended|gigaword_2003","language:en","license:mit","size_categories:100K<n<1M","arxiv:1509.00685","region:us","headline-generation"]


hub_id: community-datasets/glucose
license: ["cc-by-4.0"]
language: ["en"]
config_name: glucose
tags:
["task_categories:fill-mask","task_categories:text-generation","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:extended|other-ROC-stories","language:en","license:cc-by-4.0","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:2009.07758","region:us","commonsense-inference","croissant"]

column_names:
["experiment_id","story_id","worker_id","worker_ids","submission_time_normalized","worker_quality_assessment","selected_sentence_index","story","selected_sentence","number_filled_in","1_specificNL","1_specificStructured","1_generalNL","1_generalStructured","2_specificNL","2_specificStructured","2_generalNL","2_generalStructured","3_specificNL","3_specificStructured","3_generalNL","3_generalStructured","4_specificNL","4_specificStructured","4_generalNL","4_generalStructured","5_specificNL","5_specificStructured","5_generalNL","5_generalStructured","6_specificNL","6_specificStructured","6_generalNL","6_generalStructured","7_specificNL","7_specificStructured","7_generalNL","7_generalStructured","8_specificNL","8_specificStructured","8_generalNL","8_generalStructured","9_specificNL","9_specificStructured","9_generalNL","9_generalStructured","10_specificNL","10_specificStructured","10_generalNL","10_generalStructured"]

features:
[{"name":"experiment_id","dtype":"string"},{"name":"story_id","dtype":"string"},{"name":"worker_id","dtype":"int64"},{"name":"worker_ids","dtype":"string"},{"name":"submission_time_normalized","dtype":"string"},{"name":"worker_quality_assessment","dtype":"int64"},{"name":"selected_sentence_index","dtype":"int64"},{"name":"story","dtype":"string"},{"name":"selected_sentence","dtype":"string"},{"name":"number_filled_in","dtype":"int64"},{"name":"1_specificNL","dtype":"string"},{"name":"1_specificStructured","dtype":"string"},{"name":"1_generalNL","dtype":"string"},{"name":"1_generalStructured","dtype":"string"},{"name":"2_specificNL","dtype":"string"},{"name":"2_specificStructured","dtype":"string"},{"name":"2_generalNL","dtype":"string"},{"name":"2_generalStructured","dtype":"string"},{"name":"3_specificNL","dtype":"string"},{"name":"3_specificStructured","dtype":"string"},{"name":"3_generalNL","dtype":"string"},{"name":"3_generalStructured","dtype":"string"},{"name":"4_specificNL","dtype":"string"},{"name":"4_specificStructured","dtype":"string"},{"name":"4_generalNL","dtype":"string"},{"name":"4_generalStructured","dtype":"string"},{"name":"5_specificNL","dtype":"string"},{"name":"5_specificStructured","dtype":"string"},{"name":"5_generalNL","dtype":"string"},{"name":"5_generalStructured","dtype":"string"},{"name":"6_specificNL","dtype":"string"},{"name":"6_specificStructured","dtype":"string"},{"name":"6_generalNL","dtype":"string"},{"name":"6_generalStructured","dtype":"string"},{"name":"7_specificNL","dtype":"string"},{"name":"7_specificStructured","dtype":"string"},{"name":"7_generalNL","dtype":"string"},{"name":"7_generalStructured","dtype":"string"},{"name":"8_specificNL","dtype":"string"},{"name":"8_specificStructured","dtype":"string"},{"name":"8_generalNL","dtype":"string"},{"name":"8_generalStructured","dtype":"string"},{"name":"9_specificNL","dtype":"string"},{"name":"9_specificStructured","dtype":"string"},{"name":"9_generalNL","dtype":"string"},{"name":"9_generalStructured","dtype":"string"},{"name":"10_specificNL","dtype":"string"},{"name":"10_specificStructured","dtype":"string"},{"name":"10_generalNL","dtype":"string"},{"name":"10_generalStructured","dtype":"string"}]


hub_id: nyu-mll/glue
license: ["other"]
language: ["en"]
config_name: wnli
column_names: ["sentence1","sentence2","label","idx"]
tags:
["task_categories:text-classification","task_ids:acceptability-classification","task_ids:natural-language-inference","task_ids:semantic-similarity-scoring","task_ids:sentiment-classification","task_ids:text-scoring","annotations_creators:other","language_creators:other","multilinguality:monolingual","source_datasets:original","language:en","license:other","size_categories:100M<n<1B","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:1804.07461","region:us","qa-nli","coreference-nli","paraphrase-identification","croissant"]

features:
[{"name":"sentence1","dtype":"string"},{"name":"sentence2","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"not_entailment","1":"entailment"}}}},{"name":"idx","dtype":"int32"}]


hub_id: community-datasets/gnad10
license: ["cc-by-nc-sa-4.0"]
language: ["de"]
config_name: default
column_names: ["text","label"]
tags:
["task_categories:text-classification","task_ids:topic-classification","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:extended|other-from-One-Million-Posts-Corpus","language:de","license:cc-by-nc-sa-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"Web","1":"Panorama","2":"International","3":"Wirtschaft","4":"Sport","5":"Inland","6":"Etat","7":"Wissenschaft","8":"Kultur"}}}}]


hub_id: google-research-datasets/go_emotions
license: ["apache-2.0"]
language: ["en"]
config_name: simplified
column_names: ["text","labels","id"]
tags:
["task_categories:text-classification","task_ids:multi-class-classification","task_ids:multi-label-classification","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:apache-2.0","size_categories:10M<n<100M","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:2005.00547","region:us","emotion","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"labels","sequence":{"class_label":{"names":{"0":"admiration","1":"amusement","2":"anger","3":"annoyance","4":"approval","5":"caring","6":"confusion","7":"curiosity","8":"desire","9":"disappointment","10":"disapproval","11":"disgust","12":"embarrassment","13":"excitement","14":"fear","15":"gratitude","16":"grief","17":"joy","18":"love","19":"nervousness","20":"optimism","21":"pride","22":"realization","23":"relief","24":"remorse","25":"sadness","26":"surprise","27":"neutral"}}}},{"name":"id","dtype":"string"}]


hub_id: allenai/gooaq
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["id","question","short_answer","answer","answer_type"]
tags:
["task_categories:question-answering","task_ids:open-domain-qa","annotations_creators:expert-generated","language_creators:machine-generated","multilinguality:monolingual","source_datasets:original","language:en","license:apache-2.0","size_categories:1M<n<10M","arxiv:2104.08727","region:us"]

features:
[{"name":"id","dtype":"int32"},{"name":"question","dtype":"string"},{"name":"short_answer","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"answer_type","dtype":{"class_label":{"names":{"0":"feat_snip","1":"collection","2":"knowledge","3":"unit_conv","4":"time_conv","5":"curr_conv"}}}}]


hub_id: google-research-datasets/google_wellformed_query
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: default
column_names: ["rating","content"]
features: [{"name":"rating","dtype":"float32"},{"name":"content","dtype":"string"}]
tags:
["task_categories:text-classification","task_ids:text-scoring","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","size_categories:10K<n<100K","source_datasets:extended","language:en","license:cc-by-sa-4.0","arxiv:1808.09419","region:us"]


hub_id: dki-lab/grail_qa
license: ["unknown"]
language: ["en"]
config_name: default
tags:
["task_categories:question-answering","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:10K<n<100K","arxiv:2011.07743","region:us","knowledge-base-qa"]

column_names:
["qid","question","answer","function","num_node","num_edge","graph_query","sparql_query","domains","level","s_expression"]

features:
[{"name":"qid","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","sequence":[{"name":"answer_type","dtype":"string"},{"name":"answer_argument","dtype":"string"},{"name":"entity_name","dtype":"string"}]},{"name":"function","dtype":"string"},{"name":"num_node","dtype":"int32"},{"name":"num_edge","dtype":"int32"},{"name":"graph_query","struct":[{"name":"nodes","sequence":[{"name":"nid","dtype":"int32"},{"name":"node_type","dtype":"string"},{"name":"id","dtype":"string"},{"name":"class","dtype":"string"},{"name":"friendly_name","dtype":"string"},{"name":"question_node","dtype":"int32"},{"name":"function","dtype":"string"}]},{"name":"edges","sequence":[{"name":"start","dtype":"int32"},{"name":"end","dtype":"int32"},{"name":"relation","dtype":"string"},{"name":"friendly_name","dtype":"string"}]}]},{"name":"sparql_query","dtype":"string"},{"name":"domains","sequence":"string"},{"name":"level","dtype":"string"},{"name":"s_expression","dtype":"string"}]


hub_id: google-research-datasets/great_code
license: ["cc-by-sa-3.0"]
language: ["en"]
config_name: default
tags:
["task_categories:table-to-text","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-sa-3.0","size_categories:1M<n<10M","region:us"]

column_names:
["id","source_tokens","has_bug","error_location","repair_candidates","bug_kind","bug_kind_name","repair_targets","edges","provenances"]

features:
[{"name":"id","dtype":"int32"},{"name":"source_tokens","sequence":"string"},{"name":"has_bug","dtype":"bool"},{"name":"error_location","dtype":"int32"},{"name":"repair_candidates","sequence":"string"},{"name":"bug_kind","dtype":"int32"},{"name":"bug_kind_name","dtype":"string"},{"name":"repair_targets","sequence":"int32"},{"name":"edges","list":{"list":[{"name":"before_index","dtype":"int32"},{"name":"after_index","dtype":"int32"},{"name":"edge_type","dtype":"int32"},{"name":"edge_type_name","dtype":"string"}]}},{"name":"provenances","list":[{"name":"datasetProvenance","struct":[{"name":"datasetName","dtype":"string"},{"name":"filepath","dtype":"string"},{"name":"license","dtype":"string"},{"name":"note","dtype":"string"}]}]}]


hub_id: AI-team-UoA/greek_legal_code
license: ["cc-by-4.0"]
language: ["el"]
config_name: volume
column_names: ["text","label"]
tags:
["task_categories:text-classification","task_ids:multi-class-classification","task_ids:topic-classification","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:el","license:cc-by-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","arxiv:2109.15298","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"\u039a\u039f\u0399\u039d\u03a9\u039d\u0399\u039a\u0397 \u03a0\u03a1\u039f\u039d\u039f\u0399\u0391","1":"\u0393\u0395\u03a9\u03a1\u0393\u0399\u039a\u0397 \u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391","2":"\u03a1\u0391\u0394\u0399\u039f\u03a6\u03a9\u039d\u0399\u0391 \u039a\u0391\u0399 \u03a4\u03a5\u03a0\u039f\u03a3","3":"\u0392\u0399\u039f\u039c\u0397\u03a7\u0391\u039d\u0399\u039a\u0397 \u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391","4":"\u03a5\u0393\u0395\u0399\u039f\u039d\u039f\u039c\u0399\u039a\u0397 \u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391","5":"\u03a0\u039f\u039b\u0395\u039c\u0399\u039a\u039f \u039d\u0391\u03a5\u03a4\u0399\u039a\u039f","6":"\u03a4\u0391\u03a7\u03a5\u0394\u03a1\u039f\u039c\u0395\u0399\u0391 - \u03a4\u0397\u039b\u0395\u03a0\u0399\u039a\u039f\u0399\u039d\u03a9\u039d\u0399\u0395\u03a3","7":"\u0394\u0391\u03a3\u0397 \u039a\u0391\u0399 \u039a\u03a4\u0397\u039d\u039f\u03a4\u03a1\u039f\u03a6\u0399\u0391","8":"\u0395\u039b\u0395\u0393\u039a\u03a4\u0399\u039a\u039f \u03a3\u03a5\u039d\u0395\u0394\u03a1\u0399\u039f \u039a\u0391\u0399 \u03a3\u03a5\u039d\u03a4\u0391\u039e\u0395\u0399\u03a3","9":"\u03a0\u039f\u039b\u0395\u039c\u0399\u039a\u0397 \u0391\u0395\u03a1\u039f\u03a0\u039f\u03a1\u0399\u0391","10":"\u039d\u039f\u039c\u0399\u039a\u0391 \u03a0\u03a1\u039f\u03a3\u03a9\u03a0\u0391 \u0394\u0397\u039c\u039f\u03a3\u0399\u039f\u03a5 \u0394\u0399\u039a\u0391\u0399\u039f\u03a5","11":"\u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391 \u0391\u039d\u03a9\u039d\u03a5\u039c\u03a9\u039d \u0395\u03a4\u0391\u0399\u03a1\u0395\u0399\u03a9\u039d \u03a4\u03a1\u0391\u03a0\u0395\u0396\u03a9\u039d \u039a\u0391\u0399 \u03a7\u03a1\u0397\u039c\u0391\u03a4\u0399\u03a3\u03a4\u0397\u03a1\u0399\u03a9\u039d","12":"\u03a0\u039f\u039b\u0399\u03a4\u0399\u039a\u0397 \u0391\u0395\u03a1\u039f\u03a0\u039f\u03a1\u0399\u0391","13":"\u0395\u039c\u039c\u0395\u03a3\u0397 \u03a6\u039f\u03a1\u039f\u039b\u039f\u0393\u0399\u0391","14":"\u039a\u039f\u0399\u039d\u03a9\u039d\u0399\u039a\u0395\u03a3 \u0391\u03a3\u03a6\u0391\u039b\u0399\u03a3\u0395\u0399\u03a3","15":"\u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391 \u0394\u0397\u039c\u03a9\u039d \u039a\u0391\u0399 \u039a\u039f\u0399\u039d\u039f\u03a4\u0397\u03a4\u03a9\u039d","16":"\u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391 \u0395\u03a0\u0399\u039c\u0395\u039b\u0397\u03a4\u0397\u03a1\u0399\u03a9\u039d \u03a3\u03a5\u039d\u0395\u03a4\u0391\u0399\u03a1\u0399\u03a3\u039c\u03a9\u039d \u039a\u0391\u0399 \u03a3\u03a9\u039c\u0391\u03a4\u0395\u0399\u03a9\u039d","17":"\u0394\u0397\u039c\u039f\u03a3\u0399\u0391 \u0395\u03a1\u0393\u0391","18":"\u0394\u0399\u039f\u0399\u039a\u0397\u03a3\u0397 \u0394\u0399\u039a\u0391\u0399\u039f\u03a3\u03a5\u039d\u0397\u03a3","19":"\u0391\u03a3\u03a6\u0391\u039b\u0399\u03a3\u03a4\u0399\u039a\u0391 \u03a4\u0391\u039c\u0395\u0399\u0391","20":"\u0395\u039a\u039a\u039b\u0397\u03a3\u0399\u0391\u03a3\u03a4\u0399\u039a\u0397 \u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391","21":"\u0395\u039a\u03a0\u0391\u0399\u0394\u0395\u03a5\u03a4\u0399\u039a\u0397 \u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391","22":"\u0394\u0397\u039c\u039f\u03a3\u0399\u039f \u039b\u039f\u0393\u0399\u03a3\u03a4\u0399\u039a\u039f","23":"\u03a4\u0395\u039b\u03a9\u039d\u0395\u0399\u0391\u039a\u0397 \u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391","24":"\u03a3\u03a5\u0393\u039a\u039f\u0399\u039d\u03a9\u039d\u0399\u0395\u03a3","25":"\u0395\u0398\u039d\u0399\u039a\u0397 \u0391\u039c\u03a5\u039d\u0391","26":"\u03a3\u03a4\u03a1\u0391\u03a4\u039f\u03a3 \u039e\u0397\u03a1\u0391\u03a3","27":"\u0391\u0393\u039f\u03a1\u0391\u039d\u039f\u039c\u0399\u039a\u0397 \u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391","28":"\u0394\u0397\u039c\u039f\u03a3\u0399\u039f\u0399 \u03a5\u03a0\u0391\u039b\u039b\u0397\u039b\u039f\u0399","29":"\u03a0\u0395\u03a1\u0399\u039f\u03a5\u03a3\u0399\u0391 \u0394\u0397\u039c\u039f\u03a3\u0399\u039f\u03a5 \u039a\u0391\u0399 \u039d\u039f\u039c\u0399\u03a3\u039c\u0391","30":"\u039f\u0399\u039a\u039f\u039d\u039f\u039c\u0399\u039a\u0397 \u0394\u0399\u039f\u0399\u039a\u0397\u03a3\u0397","31":"\u039b\u0399\u039c\u0395\u039d\u0399\u039a\u0397 \u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391","32":"\u0391\u03a3\u03a4\u0399\u039a\u0397 \u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391","33":"\u03a0\u039f\u039b\u0399\u03a4\u0399\u039a\u0397 \u0394\u0399\u039a\u039f\u039d\u039f\u039c\u0399\u0391","34":"\u0394\u0399\u03a0\u039b\u03a9\u039c\u0391\u03a4\u0399\u039a\u0397 \u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391","35":"\u0394\u0399\u039f\u0399\u039a\u0397\u03a4\u0399\u039a\u0397 \u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391","36":"\u0391\u039c\u0395\u03a3\u0397 \u03a6\u039f\u03a1\u039f\u039b\u039f\u0393\u0399\u0391","37":"\u03a4\u03a5\u03a0\u039f\u03a3 \u039a\u0391\u0399 \u03a4\u039f\u03a5\u03a1\u0399\u03a3\u039c\u039f\u03a3","38":"\u0395\u0398\u039d\u0399\u039a\u0397 \u039f\u0399\u039a\u039f\u039d\u039f\u039c\u0399\u0391","39":"\u0391\u03a3\u03a4\u03a5\u039d\u039f\u039c\u0399\u039a\u0397 \u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391","40":"\u0391\u0393\u03a1\u039f\u03a4\u0399\u039a\u0397 \u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391","41":"\u0395\u03a1\u0393\u0391\u03a4\u0399\u039a\u0397 \u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391","42":"\u03a0\u039f\u0399\u039d\u0399\u039a\u0397 \u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391","43":"\u0395\u039c\u03a0\u039f\u03a1\u0399\u039a\u0397 \u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391","44":"\u0395\u03a0\u0399\u03a3\u03a4\u0397\u039c\u0395\u03a3 \u039a\u0391\u0399 \u03a4\u0395\u03a7\u039d\u0395\u03a3","45":"\u0395\u039c\u03a0\u039f\u03a1\u0399\u039a\u0397 \u039d\u0391\u03a5\u03a4\u0399\u039b\u0399\u0391","46":"\u03a3\u03a5\u039d\u03a4\u0391\u0393\u039c\u0391\u03a4\u0399\u039a\u0397 \u039d\u039f\u039c\u039f\u0398\u0395\u03a3\u0399\u0391"}}}}]


hub_id: Efstathios/guardian_authorship
license: ["unknown"]
language: ["en"]
config_name: cross_genre_4
column_names: ["author","topic","article"]
tags:
["task_categories:text-classification","task_ids:multi-class-classification","task_ids:topic-classification","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:1K<n<10K","region:us"]

features:
[{"name":"author","dtype":{"class_label":{"names":{"0":"catherinebennett","1":"georgemonbiot","2":"hugoyoung","3":"jonathanfreedland","4":"martinkettle","5":"maryriddell","6":"nickcohen","7":"peterpreston","8":"pollytoynbee","9":"royhattersley","10":"simonhoggart","11":"willhutton","12":"zoewilliams"}}}},{"name":"topic","dtype":{"class_label":{"names":{"0":"Politics","1":"Society","2":"UK","3":"World","4":"Books"}}}},{"name":"article","dtype":"string"}]


hub_id: community-datasets/gutenberg_time
license: ["unknown"]
language: ["en"]
config_name: gutenberg
tags:
["task_categories:text-classification","task_ids:multi-class-classification","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:100K<n<1M","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:2011.04124","region:us","croissant"]

column_names:
["guten_id","hour_reference","time_phrase","is_ambiguous","time_pos_start","time_pos_end","tok_context"]

features:
[{"name":"guten_id","dtype":"string"},{"name":"hour_reference","dtype":"string"},{"name":"time_phrase","dtype":"string"},{"name":"is_ambiguous","dtype":"bool_"},{"name":"time_pos_start","dtype":"int64"},{"name":"time_pos_end","dtype":"int64"},{"name":"tok_context","dtype":"string"}]


hub_id: jhu-cogsci/hans
license: ["unknown"]
language: ["en"]
config_name: plain_text
tags:
["task_categories:text-classification","task_ids:natural-language-inference","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:10K<n<100K","arxiv:1902.01007","region:us"]

column_names:
["premise","hypothesis","label","parse_premise","parse_hypothesis","binary_parse_premise","binary_parse_hypothesis","heuristic","subcase","template"]

features:
[{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"entailment","1":"non-entailment"}}}},{"name":"parse_premise","dtype":"string"},{"name":"parse_hypothesis","dtype":"string"},{"name":"binary_parse_premise","dtype":"string"},{"name":"binary_parse_hypothesis","dtype":"string"},{"name":"heuristic","dtype":"string"},{"name":"subcase","dtype":"string"},{"name":"template","dtype":"string"}]


hub_id: Elnagara/hard
license: ["unknown"]
language: ["ar"]
config_name: plain_text
column_names: ["text","label"]
tags:
["task_categories:text-classification","task_ids:multi-class-classification","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:ar","license:unknown","size_categories:100K<n<1M","region:us"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"1","1":"2","2":"3","3":"4","4":"5"}}}}]


hub_id: Linguateca/harem
license: ["unknown"]
language: ["pt"]
config_name: selective
column_names: ["id","tokens","ner_tags"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:pt","license:unknown","size_categories:n<1K","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-PESSOA","2":"I-PESSOA","3":"B-ORGANIZACAO","4":"I-ORGANIZACAO","5":"B-LOCAL","6":"I-LOCAL","7":"B-TEMPO","8":"I-TEMPO","9":"B-VALOR","10":"I-VALOR"}}}}]


hub_id: community-datasets/has_part
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["arg1","arg2","score","wikipedia_primary_page","synset"]
tags:
["task_categories:text-classification","task_ids:text-scoring","annotations_creators:machine-generated","language_creators:found","multilinguality:monolingual","source_datasets:extended|other-Generics-KB","language:en","license:unknown","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:2006.07510","region:us","Meronym-Prediction","croissant"]

features:
[{"name":"arg1","dtype":"string"},{"name":"arg2","dtype":"string"},{"name":"score","dtype":"float64"},{"name":"wikipedia_primary_page","sequence":"string"},{"name":"synset","sequence":"string"}]


hub_id: legacy-datasets/hate_offensive
license: ["mit"]
language: ["en"]
config_name: default
tags:
["task_categories:text-classification","task_ids:multi-class-classification","annotations_creators:crowdsourced","language_creators:machine-generated","multilinguality:monolingual","source_datasets:original","language:en","license:mit","size_categories:10K<n<100K","arxiv:1905.12516","region:us","hate-speech-detection"]

column_names:
["total_annotation_count","hate_speech_annotations","offensive_language_annotations","neither_annotations","label","tweet"]

features:
[{"name":"total_annotation_count","dtype":"int32"},{"name":"hate_speech_annotations","dtype":"int32"},{"name":"offensive_language_annotations","dtype":"int32"},{"name":"neither_annotations","dtype":"int32"},{"name":"label","dtype":{"class_label":{"names":{"0":"hate-speech","1":"offensive-language","2":"neither"}}}},{"name":"tweet","dtype":"string"}]


hub_id: odegiber/hate_speech18
license: ["cc-by-sa-3.0"]
language: ["en"]
config_name: default
column_names: ["text","user_id","subforum_id","num_contexts","label"]
tags:
["task_categories:text-classification","task_ids:intent-classification","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-sa-3.0","size_categories:10K<n<100K","region:us"]

features:
[{"name":"text","dtype":"string"},{"name":"user_id","dtype":"int64"},{"name":"subforum_id","dtype":"int64"},{"name":"num_contexts","dtype":"int64"},{"name":"label","dtype":{"class_label":{"names":{"0":"noHate","1":"hate","2":"idk/skip","3":"relation"}}}}]


hub_id: hate-speech-filipino/hate_speech_filipino
license: ["unknown"]
language: ["tl"]
config_name: default
column_names: ["text","label"]
tags:
["task_categories:text-classification","task_ids:sentiment-analysis","annotations_creators:machine-generated","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:extended|other-twitter-data-philippine-election","language:tl","license:unknown","size_categories:10K<n<100K","region:us"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}}]


hub_id: tdavidson/hate_speech_offensive
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["count","hate_speech_count","offensive_language_count","neither_count","class","tweet"]
tags:
["task_categories:text-classification","annotations_creators:expert-generated","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:1703.04009","region:us","hate-speech-detection","croissant"]

features:
[{"name":"count","dtype":"int64"},{"name":"hate_speech_count","dtype":"int64"},{"name":"offensive_language_count","dtype":"int64"},{"name":"neither_count","dtype":"int64"},{"name":"class","dtype":{"class_label":{"names":{"0":"hate speech","1":"offensive language","2":"neither"}}}},{"name":"tweet","dtype":"string"}]


hub_id: community-datasets/hate_speech_pl
license: ["cc-by-nc-sa-3.0"]
language: ["pl"]
config_name: default
tags:
["task_categories:text-classification","task_ids:text-scoring","task_ids:multi-class-classification","task_ids:multi-label-classification","task_ids:sentiment-classification","task_ids:sentiment-scoring","task_ids:topic-classification","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:pl","license:cc-by-nc-sa-3.0","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["id","text_id","annotator_id","minority_id","negative_emotions","call_to_action","source_of_knowledge","irony_sarcasm","topic","text","rating"]

features:
[{"name":"id","dtype":"uint16"},{"name":"text_id","dtype":"uint32"},{"name":"annotator_id","dtype":"uint8"},{"name":"minority_id","dtype":"uint8"},{"name":"negative_emotions","dtype":"bool"},{"name":"call_to_action","dtype":"bool"},{"name":"source_of_knowledge","dtype":"uint8"},{"name":"irony_sarcasm","dtype":"bool"},{"name":"topic","dtype":"uint8"},{"name":"text","dtype":"string"},{"name":"rating","dtype":"uint8"}]


hub_id: hate-speech-portuguese/hate_speech_portuguese
license: ["unknown"]
language: ["pt"]
config_name: default
tags:
["task_categories:text-classification","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:pt","license:unknown","size_categories:1K<n<10K","region:us","hate-speech-detection"]

column_names:
["text","label","hatespeech_G1","annotator_G1","hatespeech_G2","annotator_G2","hatespeech_G3","annotator_G3"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"no-hate","1":"hate"}}}},{"name":"hatespeech_G1","dtype":"string"},{"name":"annotator_G1","dtype":"string"},{"name":"hatespeech_G2","dtype":"string"},{"name":"annotator_G2","dtype":"string"},{"name":"hatespeech_G3","dtype":"string"},{"name":"annotator_G3","dtype":"string"}]


hub_id: Hate-speech-CNERG/hatexplain
license: ["cc-by-4.0"]
language: ["en"]
config_name: plain_text
column_names: ["id","annotators","rationales","post_tokens"]
tags:
["task_categories:text-classification","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:10K<n<100K","arxiv:2012.10289","arxiv:1703.04009","arxiv:1908.11049","arxiv:1812.01693","region:us","hate-speech-detection"]

features:
[{"name":"id","dtype":"string"},{"name":"annotators","sequence":[{"name":"label","dtype":{"class_label":{"names":{"0":"hatespeech","1":"normal","2":"offensive"}}}},{"name":"annotator_id","dtype":"int32"},{"name":"target","sequence":"string"}]},{"name":"rationales","sequence":{"sequence":"int32"}},{"name":"post_tokens","sequence":"string"}]


hub_id: UdS-LSV/hausa_voa_ner
license: ["cc-by-4.0"]
language: ["ha"]
config_name: hausa_voa_ner
column_names: ["id","tokens","ner_tags"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:ha","license:cc-by-4.0","size_categories:1K<n<10K","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-PER","2":"I-PER","3":"B-ORG","4":"I-ORG","5":"B-LOC","6":"I-LOC","7":"B-DATE","8":"I-DATE"}}}}]


hub_id: UdS-LSV/hausa_voa_topics
license: ["unknown"]
language: ["ha"]
config_name: default
column_names: ["news_title","label"]
tags:
["task_categories:text-classification","task_ids:topic-classification","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:ha","license:unknown","size_categories:1K<n<10K","region:us"]

features:
[{"name":"news_title","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"Africa","1":"Health","2":"Nigeria","3":"Politics","4":"World"}}}}]


hub_id: NirantK/hda_nli_hindi
license: ["mit"]
language: ["hi"]
config_name: hda nli hindi
column_names: ["premise","hypothesis","label","topic"]
tags:
["task_categories:text-classification","task_ids:natural-language-inference","annotations_creators:machine-generated","language_creators:found","multilinguality:monolingual","source_datasets:extended|hindi_discourse","language:hi","license:mit","size_categories:10K<n<100K","region:us"]

features:
[{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"not-entailment","1":"entailment"}}}},{"name":"topic","dtype":{"class_label":{"names":{"0":"Argumentative","1":"Descriptive","2":"Dialogic","3":"Informative","4":"Narrative"}}}}]


hub_id: dvilares/head_qa
license: ["mit"]
language: ["en","es"]
config_name: en
column_names: ["name","year","category","qid","qtext","ra","image","answers"]
tags:
["task_categories:question-answering","task_ids:multiple-choice-qa","annotations_creators:no-annotation","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:en","language:es","license:mit","size_categories:1K<n<10K","region:us"]

features:
[{"name":"name","dtype":"string"},{"name":"year","dtype":"string"},{"name":"category","dtype":"string"},{"name":"qid","dtype":"int32"},{"name":"qtext","dtype":"string"},{"name":"ra","dtype":"int32"},{"name":"image","dtype":"image"},{"name":"answers","list":[{"name":"aid","dtype":"int32"},{"name":"atext","dtype":"string"}]}]


hub_id: ImperialCollegeLondon/health_fact
license: ["mit"]
language: ["en"]
config_name: default
tags:
["task_categories:text-classification","task_ids:fact-checking","task_ids:multi-class-classification","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:mit","size_categories:10K<n<100K","arxiv:2010.09926","region:us"]

column_names:
["claim_id","claim","date_published","explanation","fact_checkers","main_text","sources","label","subjects"]

features:
[{"name":"claim_id","dtype":"string"},{"name":"claim","dtype":"string"},{"name":"date_published","dtype":"string"},{"name":"explanation","dtype":"string"},{"name":"fact_checkers","dtype":"string"},{"name":"main_text","dtype":"string"},{"name":"sources","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"false","1":"mixture","2":"true","3":"unproven"}}}},{"name":"subjects","dtype":"string"}]


hub_id: projectbenyehuda/hebrew_projectbenyehuda
license: ["mit"]
language: ["he"]
config_name: default
column_names: ["id","url","title","authors","translators","original_language","genre","source_edition","text"]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:he","license:mit","size_categories:10K<n<100K","region:us"]

features:
[{"name":"id","dtype":"int32"},{"name":"url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"authors","dtype":"string"},{"name":"translators","dtype":"string"},{"name":"original_language","dtype":"string"},{"name":"genre","dtype":"string"},{"name":"source_edition","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: omilab/hebrew_sentiment
license: ["mit"]
language: ["he"]
config_name: morph
column_names: ["text","label"]
tags:
["task_categories:text-classification","task_ids:sentiment-classification","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:he","license:mit","size_categories:10K<n<100K","region:us"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"pos","1":"neg","2":"off-topic"}}}}]


hub_id: community-datasets/hebrew_this_world
license: ["agpl-3.0"]
language: ["he"]
config_name: default
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:he","license:agpl-3.0","size_categories:1K<n<10K","parquet","tabular","text","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["issue_num","page_count","date","date_he","year","href","pdf","coverpage","backpage","content","url"]

features:
[{"name":"issue_num","dtype":"int64"},{"name":"page_count","dtype":"int64"},{"name":"date","dtype":"string"},{"name":"date_he","dtype":"string"},{"name":"year","dtype":"string"},{"name":"href","dtype":"string"},{"name":"pdf","dtype":"string"},{"name":"coverpage","dtype":"string"},{"name":"backpage","dtype":"string"},{"name":"content","dtype":"string"},{"name":"url","dtype":"string"}]


hub_id: Rowan/hellaswag
license: []
language: ["en"]
config_name: default
column_names: ["ind","activity_label","ctx_a","ctx_b","ctx","endings","source_id","split","split_type","label"]
tags:
["language:en","size_categories:10M<n<100M","text","datasets","mlcroissant","arxiv:1905.07830","region:us","croissant"]

features:
[{"name":"ind","dtype":"int32"},{"name":"activity_label","dtype":"string"},{"name":"ctx_a","dtype":"string"},{"name":"ctx_b","dtype":"string"},{"name":"ctx","dtype":"string"},{"name":"endings","sequence":"string"},{"name":"source_id","dtype":"string"},{"name":"split","dtype":"string"},{"name":"split_type","dtype":"string"},{"name":"label","dtype":"string"}]


hub_id: cais/mmlu
license: ["mit"]
language: ["en"]
config_name: world_religions
column_names: ["question","subject","choices","answer"]
tags:
["task_categories:question-answering","task_ids:multiple-choice-qa","annotations_creators:no-annotation","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:en","license:mit","size_categories:10M<n<100M","parquet","text","datasets","pandas","mlcroissant","arxiv:2009.03300","arxiv:2005.00700","arxiv:2005.14165","arxiv:2008.02275","region:us","croissant"]

features:
[{"name":"question","dtype":"string"},{"name":"subject","dtype":"string"},{"name":"choices","sequence":"string"},{"name":"answer","dtype":{"class_label":{"names":{"0":"A","1":"B","2":"C","3":"D"}}}}]


hub_id: pary/hind_encorp
license: ["cc-by-nc-sa-3.0"]
language: ["en","hi"]
config_name: default
column_names: ["id","source","alignment_type","alignment_quality","translation"]
tags:
["task_categories:translation","annotations_creators:expert-generated","language_creators:crowdsourced","language_creators:machine-generated","multilinguality:translation","source_datasets:original","language:en","language:hi","license:cc-by-nc-sa-3.0","size_categories:100K<n<1M","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"source","dtype":"string"},{"name":"alignment_type","dtype":"string"},{"name":"alignment_quality","dtype":"string"},{"name":"translation","dtype":{"translation":{"languages":["en","hi"]}}}]


hub_id: midas/hindi_discourse
license: ["other"]
language: ["hi"]
config_name: default
column_names: ["Story_no","Sentence","Discourse Mode"]
tags:
["task_categories:text-classification","task_ids:multi-label-classification","annotations_creators:other","language_creators:found","multilinguality:monolingual","source_datasets:original","language:hi","license:other","size_categories:1K<n<10K","region:us","discourse-analysis"]

features:
[{"name":"Story_no","dtype":"int32"},{"name":"Sentence","dtype":"string"},{"name":"Discourse Mode","dtype":{"class_label":{"names":{"0":"Argumentative","1":"Descriptive","2":"Dialogue","3":"Informative","4":"Narrative","5":"Other"}}}}]


hub_id: allenai/hippocorpus
license: ["other"]
language: ["en"]
config_name: default
tags:
["task_categories:text-classification","task_ids:text-scoring","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:en","license:other","size_categories:1K<n<10K","region:us","narrative-flow"]

column_names:
["AssignmentId","WorkTimeInSeconds","WorkerId","annotatorAge","annotatorGender","annotatorRace","distracted","draining","frequency","importance","logTimeSinceEvent","mainEvent","memType","mostSurprising","openness","recAgnPairId","recImgPairId","similarity","similarityReason","story","stressful","summary","timeSinceEvent"]

features:
[{"name":"AssignmentId","dtype":"string"},{"name":"WorkTimeInSeconds","dtype":"string"},{"name":"WorkerId","dtype":"string"},{"name":"annotatorAge","dtype":"float32"},{"name":"annotatorGender","dtype":"string"},{"name":"annotatorRace","dtype":"string"},{"name":"distracted","dtype":"float32"},{"name":"draining","dtype":"float32"},{"name":"frequency","dtype":"float32"},{"name":"importance","dtype":"float32"},{"name":"logTimeSinceEvent","dtype":"string"},{"name":"mainEvent","dtype":"string"},{"name":"memType","dtype":"string"},{"name":"mostSurprising","dtype":"string"},{"name":"openness","dtype":"string"},{"name":"recAgnPairId","dtype":"string"},{"name":"recImgPairId","dtype":"string"},{"name":"similarity","dtype":"string"},{"name":"similarityReason","dtype":"string"},{"name":"story","dtype":"string"},{"name":"stressful","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"timeSinceEvent","dtype":"string"}]


hub_id: nanyang-technological-university-singapore/hkcancor
license: ["cc-by-4.0"]
language: ["yue"]
config_name: default
column_names: ["conversation_id","speaker","turn_number","tokens","transcriptions","pos_tags_prf","pos_tags_ud"]
tags:
["task_categories:translation","task_categories:text-generation","task_categories:fill-mask","task_ids:dialogue-modeling","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:yue","license:cc-by-4.0","size_categories:10K<n<100K","region:us"]

features:
[{"name":"conversation_id","dtype":"string"},{"name":"speaker","dtype":"string"},{"name":"turn_number","dtype":"int16"},{"name":"tokens","sequence":"string"},{"name":"transcriptions","sequence":"string"},{"name":"pos_tags_prf","sequence":{"class_label":{"names":{"0":"!","1":"\"","2":"#","3":"'","4":",","5":"-","6":".","7":"...","8":"?","9":"A","10":"AD","11":"AG","12":"AIRWAYS0","13":"AN","14":"AND","15":"B","16":"BG","17":"BEAN0","18":"C","19":"CENTRE0","20":"CG","21":"D","22":"D1","23":"DG","24":"E","25":"ECHO0","26":"F","27":"G","28":"G1","29":"G2","30":"H","31":"HILL0","32":"I","33":"IG","34":"J","35":"JB","36":"JM","37":"JN","38":"JNS","39":"JNT","40":"JNZ","41":"K","42":"KONG","43":"L","44":"L1","45":"LG","46":"M","47":"MG","48":"MONTY0","49":"MOUNTAIN0","50":"N","51":"N1","52":"NG","53":"NR","54":"NS","55":"NSG","56":"NT","57":"NX","58":"NZ","59":"O","60":"P","61":"PEPPER0","62":"Q","63":"QG","64":"R","65":"RG","66":"S","67":"SOUND0","68":"T","69":"TELECOM0","70":"TG","71":"TOUCH0","72":"U","73":"UG","74":"U0","75":"V","76":"V1","77":"VD","78":"VG","79":"VK","80":"VN","81":"VU","82":"VUG","83":"W","84":"X","85":"XA","86":"XB","87":"XC","88":"XD","89":"XE","90":"XJ","91":"XJB","92":"XJN","93":"XJNT","94":"XJNZ","95":"XJV","96":"XJA","97":"XL1","98":"XM","99":"XN","100":"XNG","101":"XNR","102":"XNS","103":"XNT","104":"XNX","105":"XNZ","106":"XO","107":"XP","108":"XQ","109":"XR","110":"XS","111":"XT","112":"XV","113":"XVG","114":"XVN","115":"XX","116":"Y","117":"YG","118":"Y1","119":"Z"}}}},{"name":"pos_tags_ud","sequence":{"class_label":{"names":{"0":"DET","1":"PRON","2":"VERB","3":"NOUN","4":"ADJ","5":"PUNCT","6":"INTJ","7":"ADV","8":"V","9":"PART","10":"X","11":"NUM","12":"PROPN","13":"AUX","14":"CCONJ","15":"ADP"}}}}]


hub_id: philippelaban/hlgd
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["timeline_id","headline_a","headline_b","date_a","date_b","url_a","url_b","label"]
tags:
["task_categories:text-classification","annotations_creators:crowdsourced","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:en","license:apache-2.0","size_categories:10K<n<100K","region:us","headline-grouping"]

features:
[{"name":"timeline_id","dtype":{"class_label":{"names":{"0":0,"1":1,"2":2,"3":3,"4":4,"5":5,"6":6,"7":7,"8":8,"9":9}}}},{"name":"headline_a","dtype":"string"},{"name":"headline_b","dtype":"string"},{"name":"date_a","dtype":"string"},{"name":"date_b","dtype":"string"},{"name":"url_a","dtype":"string"},{"name":"url_b","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"same_event","1":"different_event"}}}}]


hub_id: dravidianlangtech/hope_edi
license: ["cc-by-4.0"]
language: ["en","ml","ta"]
config_name: malayalam
column_names: ["text","label"]
tags:
["task_categories:text-classification","annotations_creators:expert-generated","language_creators:crowdsourced","multilinguality:monolingual","multilinguality:multilingual","source_datasets:original","language:en","language:ml","language:ta","license:cc-by-4.0","size_categories:10K<n<100K","region:us","hope-speech-classification"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"Hope_speech","1":"Non_hope_speech","2":"not-malayalam"}}}}]


