# datasets

hub_id: srija616/IV-R
license: ["cc-by-4.0"]
language: []
config_name: default
tags:
["license:cc-by-4.0","size_categories:10K<n<100K","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["text","lang","samples","verbatim","normalized","speaker_id","scenario","task_name","gender","age_group","job_type","qualification","area","district","state","occupation","audio","utterance_pitch_mean","utterance_pitch_std","snr","c50","speaking_rate","cer","duration"]

features:
[{"name":"text","dtype":"string"},{"name":"lang","dtype":"string"},{"name":"samples","dtype":"int64"},{"name":"verbatim","dtype":"string"},{"name":"normalized","dtype":"string"},{"name":"speaker_id","dtype":"string"},{"name":"scenario","dtype":"string"},{"name":"task_name","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"age_group","dtype":"string"},{"name":"job_type","dtype":"string"},{"name":"qualification","dtype":"string"},{"name":"area","dtype":"string"},{"name":"district","dtype":"string"},{"name":"state","dtype":"string"},{"name":"occupation","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":48000}}},{"name":"utterance_pitch_mean","dtype":"float64"},{"name":"utterance_pitch_std","dtype":"float64"},{"name":"snr","dtype":"float64"},{"name":"c50","dtype":"float64"},{"name":"speaking_rate","dtype":"float64"},{"name":"cer","dtype":"string"},{"name":"duration","dtype":"float64"}]


hub_id: glouriousgautam/openhermes116k_balanced
license: []
language: []
config_name: default
column_names: ["source","conversations"]
features:
[{"name":"source","dtype":"string"},{"name":"conversations","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"},{"name":"weight","dtype":"null"}]}]


hub_id: PKU-Alignment/ProgressGym-TimelessQA
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: []
features: []
tags:
["task_categories:question-answering","source_datasets:tatsu-lab/alpaca","source_datasets:databricks/databricks-dolly-15k","source_datasets:GAIR/lima","language:en","license:cc-by-4.0","size_categories:1K<n<10K","image","region:us"]


hub_id: andyai01/function_calling_sharegpt_new_data_v2
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["function_description","system_message","conversations"]
features:
[{"name":"function_description","dtype":"string"},{"name":"system_message","dtype":"string"},{"name":"conversations","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]}]


hub_id: Dolphin42/TryBench2
license: ["cc"]
language: ["en"]
config_name: default
tags:
["task_categories:visual-question-answering","language:en","license:cc","size_categories:n<1K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["pid","question","image","short description","description","metadata_over","metadata_human","metadata_child","metadata_syn","metadata_ocr","metadata_harm"]

features:
[{"name":"pid","dtype":"string"},{"name":"question","dtype":"string"},{"name":"image","dtype":"image"},{"name":"short description","dtype":"string"},{"name":"description","dtype":"string"},{"name":"metadata_over","dtype":"bool"},{"name":"metadata_human","dtype":"bool"},{"name":"metadata_child","dtype":"bool"},{"name":"metadata_syn","dtype":"bool"},{"name":"metadata_ocr","dtype":"bool"},{"name":"metadata_harm","dtype":"string"}]


hub_id: budzianowski/sim_synth
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["observation.images.grip_r","observation.images.head","observation.state","action","episode_index","frame_index","timestamp","next.done","index"]

features:
[{"name":"observation.images.grip_r","dtype":"video_frame"},{"name":"observation.images.head","dtype":"video_frame"},{"name":"observation.state","sequence":"float32","length":10},{"name":"action","sequence":"float32","length":10},{"name":"episode_index","dtype":"int64"},{"name":"frame_index","dtype":"int64"},{"name":"timestamp","dtype":"float32"},{"name":"next.done","dtype":"bool"},{"name":"index","dtype":"int64"}]


hub_id: Magpie-Align/Llama-3-Magpie-Pro-1M-v0.1
license: []
language: []
config_name: default
tags:
["size_categories:1M<n<10M","parquet","tabular","text","datasets","dask","mlcroissant","arxiv:2406.08464","region:us","croissant"]

column_names:
["uuid","model","gen_input_config","input","output","conversations","task_category","difficulty","intent","knowledge","input_quality","quality_explanation","llama_guard_2","reward_model","instruct_reward","base_output","base_reward","reward_difference","min_neighbor_distance","repeat_count","min_similar_uuid","input_length","output_length"]

features:
[{"name":"uuid","dtype":"string"},{"name":"model","dtype":"string"},{"name":"gen_input_config","struct":[{"name":"temperature","dtype":"float64"},{"name":"top_p","dtype":"float64"}]},{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"conversations","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]},{"name":"task_category","dtype":"string"},{"name":"difficulty","dtype":"string"},{"name":"intent","dtype":"string"},{"name":"knowledge","dtype":"string"},{"name":"input_quality","dtype":"string"},{"name":"quality_explanation","dtype":"string"},{"name":"llama_guard_2","dtype":"string"},{"name":"reward_model","dtype":"string"},{"name":"instruct_reward","dtype":"float64"},{"name":"base_output","dtype":"string"},{"name":"base_reward","dtype":"float64"},{"name":"reward_difference","dtype":"float64"},{"name":"min_neighbor_distance","dtype":"float64"},{"name":"repeat_count","dtype":"int64"},{"name":"min_similar_uuid","dtype":"string"},{"name":"input_length","dtype":"int64"},{"name":"output_length","dtype":"int64"}]


hub_id: ohsuz/tiny-code-textbooks-edu
license: []
language: []
config_name: default
column_names: ["text","score","int_score"]
features:
[{"name":"text","dtype":"string"},{"name":"score","dtype":"float64"},{"name":"int_score","dtype":"int64"}]


hub_id: AGundawar/LLM_Uncertainty
license: []
language: []
config_name: default
column_names: ["image","query","output","uncertainty","backprompt"]
features:
[{"name":"image","dtype":"image"},{"name":"query","dtype":"string"},{"name":"output","dtype":"string"},{"name":"uncertainty","dtype":"bool"},{"name":"backprompt","dtype":"string"}]


hub_id: berquetR/mcqa_dataset
license: []
language: []
config_name: default
column_names: ["subject","question","answer","__index_level_0__"]
features:
[{"name":"subject","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: TheMabrouk/TTS-DATASET-DIALECTSPLIT
license: []
language: []
config_name: default
column_names: ["audio","Speaker","Dialect","speaker_id","text","dialect_id"]
features:
[{"name":"audio","dtype":"audio"},{"name":"Speaker","dtype":"string"},{"name":"Dialect","dtype":"string"},{"name":"speaker_id","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"dialect_id","dtype":"int64"}]


hub_id: sbintuitions/japanion_qa_attributes
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Attribute","Personas","Distributions","Year","Topic","Question Type","Url"]
features:
[{"name":"Attribute","dtype":"string"},{"name":"Personas","sequence":"string"},{"name":"Distributions","sequence":"float64"},{"name":"Year","dtype":"string"},{"name":"Topic","dtype":"string"},{"name":"Question Type","dtype":"string"},{"name":"Url","dtype":"string"}]


hub_id: oxschaos/esd_dataset
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["id","style","transcription","transcription_normalised","audio"]
features:
[{"name":"id","dtype":"string"},{"name":"style","dtype":"string"},{"name":"transcription","dtype":"string"},{"name":"transcription_normalised","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":48000}}}]


hub_id: sbintuitions/japanion_qa
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["Id","Context Information","Parent Question","Heading","Question","Question Number","Choices","Distributions","Year","Topic","Question Type","Question Class","Url"]

features:
[{"name":"Id","dtype":"int64"},{"name":"Context Information","dtype":"string"},{"name":"Parent Question","dtype":"string"},{"name":"Heading","dtype":"string"},{"name":"Question","dtype":"string"},{"name":"Question Number","dtype":"string"},{"name":"Choices","sequence":"string"},{"name":"Distributions","sequence":"float64"},{"name":"Year","dtype":"string"},{"name":"Topic","dtype":"string"},{"name":"Question Type","dtype":"string"},{"name":"Question Class","dtype":"string"},{"name":"Url","dtype":"string"}]


hub_id: kotoba-speech/reazonspeech_v2_0_stage2_tokenized_trans-en-overfit
license: []
language: []
config_name: default
column_names:
["audio_tokens","spk_embed","text_tokens","dataset_id","key","duration","lang","ratio","text_en_gpt3.5_tokens","audio_tokens_bpe"]

features:
[{"name":"audio_tokens","sequence":{"sequence":"int64"}},{"name":"spk_embed","sequence":"float64"},{"name":"text_tokens","sequence":"int64"},{"name":"dataset_id","dtype":"string"},{"name":"key","dtype":"string"},{"name":"duration","dtype":"float64"},{"name":"lang","dtype":"null"},{"name":"ratio","dtype":"float64"},{"name":"text_en_gpt3.5_tokens","sequence":"int64"},{"name":"audio_tokens_bpe","sequence":"int64"}]


hub_id: callmesan/ADIMA
license: []
language: ["ta","bn","gu","hi","or","ml","kn","pa"]
config_name: default
column_names: ["path_to_audio","abuse","language"]
tags:
["task_categories:audio-classification","language:ta","language:bn","language:gu","language:hi","language:or","language:ml","language:kn","language:pa","size_categories:10K<n<100K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","audio-abuse","croissant"]

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


hub_id: Magpie-Align/Magpie-Pro-300K-Filtered
license: []
language: []
config_name: default
column_names: ["conversations","uuid"]
tags:
["size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","arxiv:2406.08464","region:us","croissant"]

features:
[{"name":"conversations","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]},{"name":"uuid","dtype":"string"}]


hub_id: mohammad2928git/gpt4all_dataset_instruction_format
license: []
language: []
config_name: default
column_names: ["prompt","response","source","instruction","input","output"]
features:
[{"name":"prompt","dtype":"string"},{"name":"response","dtype":"string"},{"name":"source","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"input","dtype":"string"},{"name":"output","dtype":"string"}]


hub_id: HU-Berlin-ML-Internal/toxicity-dataset
license: []
language: []
config_name: default
column_names: ["text","label"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"non-toxic","1":"toxic"}}}}]


hub_id: Larbz-7/patches-chest-xray
license: []
language: []
config_name: default
column_names:
["image_path","label","follow-up","patient-id","patient-age","patient-gender","viewposition","width","height","pixelspacingx","pixelspacingy","image","x","y","w","h"]

features:
[{"name":"image_path","dtype":"string"},{"name":"label","dtype":"string"},{"name":"follow-up","dtype":"int32"},{"name":"patient-id","dtype":"int32"},{"name":"patient-age","dtype":"int32"},{"name":"patient-gender","dtype":"string"},{"name":"viewposition","dtype":"string"},{"name":"width","dtype":"int32"},{"name":"height","dtype":"int32"},{"name":"pixelspacingx","dtype":"float32"},{"name":"pixelspacingy","dtype":"float32"},{"name":"image","dtype":"image"},{"name":"x","dtype":"float64"},{"name":"y","dtype":"float64"},{"name":"w","dtype":"float64"},{"name":"h","dtype":"float64"}]


hub_id: bushali/PVLM_Instruct_dataset
license: []
language: []
config_name: default
column_names: ["id","classes","images","instruct"]
features:
[{"name":"id","dtype":"string"},{"name":"classes","dtype":"string"},{"name":"images","dtype":"image"},{"name":"instruct","dtype":"string"}]


hub_id: thesven/AetherCode-v1
license: ["other"]
language: ["en"]
config_name: default
column_names: ["instruct","user","assistant","feedbacks","scores"]
tags:
["task_categories:text-generation","language:en","license:other","size_categories:100M<n<1B","parquet","text","datasets","dask","mlcroissant","region:us","code","croissant"]

features:
[{"name":"instruct","dtype":"string"},{"name":"user","dtype":"string"},{"name":"assistant","dtype":"string"},{"name":"feedbacks","dtype":"string"},{"name":"scores","dtype":"int64"}]


hub_id: DLI-Lab/COFFEE-Test-New
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["input_format","metadata","user_id","description","generated_test_cases","correct_code","wrong_code","test_cases","problem_id","output_format"]

features:
[{"name":"input_format","dtype":"string"},{"name":"metadata","struct":[{"name":"\ub9de\ud78c \uc0ac\ub78c","dtype":"string"},{"name":"\uba54\ubaa8\ub9ac \uc81c\ud55c","dtype":"string"},{"name":"\uc2dc\uac04 \uc81c\ud55c","dtype":"string"},{"name":"\uc815\ub2f5","dtype":"string"},{"name":"\uc815\ub2f5 \ube44\uc728","dtype":"string"},{"name":"\uc81c\ucd9c","dtype":"string"}]},{"name":"user_id","dtype":"string"},{"name":"description","dtype":"string"},{"name":"generated_test_cases","list":[{"name":"input","dtype":"string"},{"name":"output","dtype":"string"}]},{"name":"correct_code","dtype":"string"},{"name":"wrong_code","dtype":"string"},{"name":"test_cases","list":[{"name":"input","dtype":"string"},{"name":"output","dtype":"string"}]},{"name":"problem_id","dtype":"string"},{"name":"output_format","dtype":"string"}]


hub_id: ylacombe/mls-eng-10k-descriptions-10k-v5
license: []
language: []
config_name: default
column_names:
["original_path","begin_time","end_time","original_text","audio_duration","speaker_id","book_id","snr","c50","speech_duration","speaking_rate","phonemes","stoi","si-sdr","pesq","gender","utterance_pitch_mean","utterance_pitch_std","pitch","noise","reverberation","speech_monotony","sdr_noise","pesq_speech_quality","accent","text","text_description"]

features:
[{"name":"original_path","dtype":"string"},{"name":"begin_time","dtype":"float64"},{"name":"end_time","dtype":"float64"},{"name":"original_text","dtype":"string"},{"name":"audio_duration","dtype":"float64"},{"name":"speaker_id","dtype":"string"},{"name":"book_id","dtype":"string"},{"name":"snr","dtype":"float32"},{"name":"c50","dtype":"float32"},{"name":"speech_duration","dtype":"float64"},{"name":"speaking_rate","dtype":"string"},{"name":"phonemes","dtype":"string"},{"name":"stoi","dtype":"float64"},{"name":"si-sdr","dtype":"float64"},{"name":"pesq","dtype":"float64"},{"name":"gender","dtype":"string"},{"name":"utterance_pitch_mean","dtype":"float64"},{"name":"utterance_pitch_std","dtype":"float64"},{"name":"pitch","dtype":"string"},{"name":"noise","dtype":"string"},{"name":"reverberation","dtype":"string"},{"name":"speech_monotony","dtype":"string"},{"name":"sdr_noise","dtype":"string"},{"name":"pesq_speech_quality","dtype":"string"},{"name":"accent","dtype":"string"},{"name":"text","dtype":"string"},{"name":"text_description","dtype":"string"}]


hub_id: Sourabh2/freeze_dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Question","Answer","New Question","New Answer","instruction","output"]
features:
[{"name":"Question","dtype":"string"},{"name":"Answer","dtype":"string"},{"name":"New Question","dtype":"string"},{"name":"New Answer","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"output","dtype":"string"}]


hub_id: bigcode/bigcodebench-elo
license: []
language: []
config_name: default
column_names: ["model","lower","rating","upper","error_y","error_y_minus","rating_rounded"]
tags:
["size_categories:n<1K","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:2406.15877","region:us","croissant"]

features:
[{"name":"model","dtype":"string"},{"name":"lower","dtype":"float64"},{"name":"rating","dtype":"float64"},{"name":"upper","dtype":"float64"},{"name":"error_y","dtype":"float64"},{"name":"error_y_minus","dtype":"float64"},{"name":"rating_rounded","dtype":"float64"}]


hub_id: proxectonos/truthfulqa_gl
license: ["apache-2.0"]
language: ["gl"]
config_name: multiple_choice
column_names: ["question","mc1_targets","mc2_targets"]
tags:
["task_categories:multiple-choice","task_categories:text-generation","task_categories:question-answering","task_ids:multiple-choice-qa","task_ids:language-modeling","task_ids:open-domain-qa","language:gl","license:apache-2.0","size_categories:1K<n<10K","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: hpprc/auto-wiki-qa-rels
license: ["cc-by-sa-4.0"]
language: ["ja"]
config_name: default
tags:
["language:ja","license:cc-by-sa-4.0","size_categories:1M<n<10M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["passage_id","anc","pos_ids","neg_ids.me5-large","neg_ids.bm25","id","pos_rel","neg_rel.me5-large","neg_rel.bm25"]

features:
[{"name":"passage_id","dtype":"int64"},{"name":"anc","dtype":"string"},{"name":"pos_ids","sequence":"int64"},{"name":"neg_ids.me5-large","sequence":"int64"},{"name":"neg_ids.bm25","sequence":"int64"},{"name":"id","dtype":"int64"},{"name":"pos_rel","sequence":"float64"},{"name":"neg_rel.me5-large","sequence":"float64"},{"name":"neg_rel.bm25","sequence":"float64"}]


hub_id: zhangshuoming/leetcode_100
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Problem Description","python","c","x86"]
features:
[{"name":"Problem Description","dtype":"string"},{"name":"python","dtype":"string"},{"name":"c","dtype":"string"},{"name":"x86","dtype":"string"}]


hub_id: allenpoe/atcosim_dataset_for_finetune_whisper_small
license: []
language: []
config_name: default
column_names: ["audio","text","input_features","text_converted","labels"]
features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"text","dtype":"string"},{"name":"input_features","sequence":{"sequence":"float32"}},{"name":"text_converted","dtype":"string"},{"name":"labels","sequence":"int64"}]


hub_id: tatsuMura/styleganfacedata
license: ["cc-by-nc-4.0"]
language: []
config_name: default
column_names: ["image"]
features: [{"name":"image","dtype":"image"}]
tags:
["license:cc-by-nc-4.0","size_categories:1K<n<10K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: badrabdullah/emoji-dataset
license: []
language: []
config_name: default
column_names: ["char","desc","hex_code"]
features:
[{"name":"char","dtype":"string"},{"name":"desc","dtype":"string"},{"name":"hex_code","dtype":"string"}]


hub_id: davanstrien/abstract-wiki-raw
license: []
language: []
config_name: default
column_names: ["id","section","len","label","generations"]
features:
[{"name":"id","dtype":"string"},{"name":"section","dtype":"string"},{"name":"len","dtype":"int64"},{"name":"label","dtype":"string"},{"name":"generations","dtype":"string"}]


hub_id: haixuantao/right_hand
tags: ["region:us"]
license: []
language: []
config_name: default
features:
[{"name":"observation.images.cam_trunk","dtype":"video_frame"},{"name":"observation.state","sequence":"float32","length":11},{"name":"action","sequence":"float32","length":11},{"name":"episode_index","dtype":"int64"},{"name":"frame_index","dtype":"int64"},{"name":"timestamp","dtype":"float32"},{"name":"next.done","dtype":"bool"},{"name":"index","dtype":"int64"}]


hub_id: davanstrien/abstract-wiki
license: ["cc0-1.0"]
language: ["en"]
config_name: default
column_names: ["anchor","positive","negative"]
tags:
["task_categories:sentence-similarity","language:en","license:cc0-1.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","sentence-transformers","synthetic","croissant"]


hub_id: pL-Community/EduScorerGerman
license: []
language: ["de"]
config_name: default
column_names: ["text","target"]
features: [{"name":"text","dtype":"string"},{"name":"target","dtype":"string"}]
tags:
["task_categories:text-classification","task_categories:text-generation","language:de","size_categories:10M<n<100M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: mNLP-project/sciq_mcqa
license: []
language: []
config_name: default
column_names: ["title","answers.text","answers.score","question","answer"]
features:
[{"name":"title","dtype":"string"},{"name":"answers.text","sequence":"string"},{"name":"answers.score","sequence":"int32"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"}]


hub_id: lightshifted/icd_data_samples
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["code_title","ICD-10-CM Full Description","Exclude 1 Notes","full_text","__index_level_0__"]
features:
[{"name":"code_title","dtype":"string"},{"name":"ICD-10-CM Full Description","dtype":"string"},{"name":"Exclude 1 Notes","dtype":"string"},{"name":"full_text","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: lightshifted/cpt_data_samples
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["code_title","Descriptor","Summary","Additional info","Clinical Responsibility","Terminology","Coding Tips","full_text","__index_level_0__"]

features:
[{"name":"code_title","dtype":"string"},{"name":"Descriptor","dtype":"string"},{"name":"Summary","dtype":"string"},{"name":"Additional info","dtype":"null"},{"name":"Clinical Responsibility","dtype":"string"},{"name":"Terminology","dtype":"string"},{"name":"Coding Tips","dtype":"string"},{"name":"full_text","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: iknow-lab/dialogsum_cluster10
license: []
language: []
config_name: default
column_names: ["id","dialogue","summary","topic","cluster_id","embedding"]
features:
[{"name":"id","dtype":"string"},{"name":"dialogue","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"topic","dtype":"string"},{"name":"cluster_id","dtype":"int32"},{"name":"embedding","sequence":"float64"}]


hub_id: asahi417/seamless-align-enA-viA.speaker-embedding.xlsr-2b
license: []
language: []
config_name: subset_99
column_names:
["line_no","enA.id","enA.laser_score","viA.id","viA.laser_score","enA.audio.speaker_embedding","enA.audio.speaker_embedding.full","viA.audio.speaker_embedding","viA.audio.speaker_embedding.full"]

features:
[{"name":"line_no","dtype":"int64"},{"name":"enA.id","dtype":"string"},{"name":"enA.laser_score","dtype":"float64"},{"name":"viA.id","dtype":"string"},{"name":"viA.laser_score","dtype":"float64"},{"name":"enA.audio.speaker_embedding","sequence":"float32"},{"name":"enA.audio.speaker_embedding.full","sequence":{"sequence":"float32"}},{"name":"viA.audio.speaker_embedding","sequence":"float32"},{"name":"viA.audio.speaker_embedding.full","sequence":{"sequence":"float32"}}]


hub_id: asahi417/seamless-align-enA-zhA.speaker-embedding.w2vbert-600m
license: []
language: []
config_name: subset_99
column_names:
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hub_id: jiho283/dialsim-friends
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hub_id: sunitha-ravi/mistral-original-financebench
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language: []
config_name: default
column_names: ["Sentences","Targets","Outputs"]
features:
[{"name":"Sentences","dtype":"string"},{"name":"Targets","dtype":"string"},{"name":"Outputs","dtype":"string"}]


hub_id: Elbonec1337/anime-dataset-made-in-abyss
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"train_A","1":"train_B"}}}}]


hub_id: magnifi/parser_user_v5
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Query_id","Query","Elastic_search","Parser_output"]
features:
[{"name":"Query_id","dtype":"int64"},{"name":"Query","dtype":"string"},{"name":"Elastic_search","dtype":"binary"},{"name":"Parser_output","dtype":"string"}]


hub_id: Joctor/bokete_oogiri_caption
license: []
language: []
config_name: matching
column_names: ["image","boke_url","caption_choices","label"]
features:
[{"name":"image","dtype":"image"},{"name":"boke_url","dtype":"string"},{"name":"caption_choices","sequence":"string"},{"name":"label","dtype":"string"}]


hub_id: vinesmsuic/SwissProtCLAP
license: []
language: []
config_name: default
column_names: ["UniProt ID","Protein Sequence","Functional Description"]
features:
[{"name":"UniProt ID","dtype":"string"},{"name":"Protein Sequence","dtype":"string"},{"name":"Functional Description","dtype":"string"}]


hub_id: Saturdays/legal-refugiados-es-instruct-llama
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input","model_name","instructions"]
features:
[{"name":"input","dtype":"string"},{"name":"model_name","dtype":"string"},{"name":"instructions","sequence":"string"}]


hub_id: Trelis/touch-rugby-triplets-basic
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["question","related_chunk","unrelated_chunk"]
features:
[{"name":"question","dtype":"string"},{"name":"related_chunk","dtype":"string"},{"name":"unrelated_chunk","dtype":"string"}]


hub_id: finkztah/youtube_trailer_comment_sentiment
license: []
language: []
config_name: default
column_names: ["comment","title","video_id","labels","__index_level_0__"]
features:
[{"name":"comment","dtype":"string"},{"name":"title","dtype":"string"},{"name":"video_id","dtype":"string"},{"name":"labels","dtype":"int64"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: allenai/coconot
tags: ["task_categories:text-generation","language:en","size_categories:1K<n<10K","region:us"]
license: []
language: ["en"]
config_name: default
column_names:
["id","category","subcategory","prompt","response","chosen","rejected","chosen_model","rejected_model"]

features:
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hub_id: Holmeister/AEB_1_FT
license: []
language: []
config_name: default
column_names: ["instruction","input","output","inst_number","task","__index_level_0__"]
features:
[{"name":"instruction","dtype":"string"},{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"inst_number","dtype":"int64"},{"name":"task","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: MichaelP84/manga-colorization-dataset
license: []
language: []
config_name: default
column_names: ["bw_image","color_image","title","tags"]
features:
[{"name":"bw_image","dtype":"image"},{"name":"color_image","dtype":"image"},{"name":"title","dtype":"string"},{"name":"tags","dtype":"string"}]


hub_id: dddraxxx/refcocom
license: []
language: []
config_name: default
column_names: ["image","mask","sents","img_size","img_path","num_sents","cat","seg_id","mask_path"]
features:
[{"name":"image","dtype":"image"},{"name":"mask","dtype":"image"},{"name":"sents","sequence":"string"},{"name":"img_size","sequence":"int64"},{"name":"img_path","dtype":"string"},{"name":"num_sents","dtype":"int64"},{"name":"cat","dtype":{"class_label":{"names":{"0":"person","1":"bicycle","2":"car","3":"motorcycle","4":"airplane","5":"bus","6":"train","7":"truck","8":"boat","9":"traffic light","10":"fire hydrant","11":"street sign","12":"stop sign","13":"parking meter","14":"bench","15":"bird","16":"cat","17":"dog","18":"horse","19":"sheep","20":"cow","21":"elephant","22":"bear","23":"zebra","24":"giraffe","25":"hat","26":"backpack","27":"umbrella","28":"shoe","29":"eye glasses","30":"handbag","31":"tie","32":"suitcase","33":"frisbee","34":"skis","35":"snowboard","36":"sports ball","37":"kite","38":"baseball bat","39":"baseball glove","40":"skateboard","41":"surfboard","42":"tennis racket","43":"bottle","44":"plate","45":"wine glass","46":"cup","47":"fork","48":"knife","49":"spoon","50":"bowl","51":"banana","52":"apple","53":"sandwich","54":"orange","55":"broccoli","56":"carrot","57":"hot dog","58":"pizza","59":"donut","60":"cake","61":"chair","62":"couch","63":"potted plant","64":"bed","65":"mirror","66":"dining table","67":"window","68":"desk","69":"toilet","70":"door","71":"tv","72":"laptop","73":"mouse","74":"remote","75":"keyboard","76":"cell phone","77":"microwave","78":"oven","79":"toaster","80":"sink","81":"refrigerator","82":"blender","83":"book","84":"clock","85":"vase","86":"scissors","87":"teddy bear","88":"hair drier","89":"toothbrush","90":"hair brush","91":"banner","92":"blanket","93":"branch","94":"bridge","95":"building-other","96":"bush","97":"cabinet","98":"cage","99":"cardboard","100":"carpet","101":"ceiling-other","102":"ceiling-tile","103":"cloth","104":"clothes","105":"clouds","106":"counter","107":"cupboard","108":"curtain","109":"desk-stuff","110":"dirt","111":"door-stuff","112":"fence","113":"floor-marble","114":"floor-other","115":"floor-stone","116":"floor-tile","117":"floor-wood","118":"flower","119":"fog","120":"food-other","121":"fruit","122":"furniture-other","123":"grass","124":"gravel","125":"ground-other","126":"hill","127":"house","128":"leaves","129":"light","130":"mat","131":"metal","132":"mirror-stuff","133":"moss","134":"mountain","135":"mud","136":"napkin","137":"net","138":"paper","139":"pavement","140":"pillow","141":"plant-other","142":"plastic","143":"platform","144":"playingfield","145":"railing","146":"railroad","147":"river","148":"road","149":"rock","150":"roof","151":"rug","152":"salad","153":"sand","154":"sea","155":"shelf","156":"sky-other","157":"skyscraper","158":"snow","159":"solid-other","160":"stairs","161":"stone","162":"straw","163":"structural-other","164":"table","165":"tent","166":"textile-other","167":"towel","168":"tree","169":"vegetable","170":"wall-brick","171":"wall-concrete","172":"wall-other","173":"wall-panel","174":"wall-stone","175":"wall-tile","176":"wall-wood","177":"water-other","178":"waterdrops","179":"window-blind","180":"window-other","181":"wood"}}}},{"name":"seg_id","dtype":"int64"},{"name":"mask_path","dtype":"string"}]


hub_id: ServiceNow/repliqa
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
tags:
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column_names:
["document_id","document_topic","document_path","document_extracted","question_id","question","answer","long_answer"]

features:
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hub_id: cairocode/EMOV_002
license: []
language: []
config_name: default
column_names: ["image","speaker","speakerID","Label"]
features:
[{"name":"image","dtype":"image"},{"name":"speaker","dtype":"string"},{"name":"speakerID","dtype":"int64"},{"name":"Label","dtype":"int64"}]


hub_id: cairocode/OMG_002
license: []
language: []
config_name: default
column_names: ["image","arousal","valence","label","arousal_norm","valence_norm","speakerID"]
features:
[{"name":"image","dtype":"image"},{"name":"arousal","dtype":"float64"},{"name":"valence","dtype":"float64"},{"name":"label","dtype":"int64"},{"name":"arousal_norm","dtype":"float64"},{"name":"valence_norm","dtype":"float64"},{"name":"speakerID","dtype":"int64"}]


hub_id: Magpie-Align/Magpie-Air-MT-300K-v0.1
license: []
language: []
config_name: default
column_names: ["model","gen_input_config","input1","output1","input2","output2","conversations","uuid"]
tags:
["size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","arxiv:2406.08464","region:us","croissant"]

features:
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hub_id: gbenson/wikipedia-page-title-words
license: ["cc-by-sa-3.0","gfdl"]
language: ["en"]
config_name: 20240601.en
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
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hub_id: PolarisEvals/trainingcriteria_fct_iter2_fctO16_all_3K_unique_prompts_filtering_debug
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["query","id_prompt","messages","gpt-4-0613_outputs"]
features:
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hub_id: sroecker/datikz-v2-moondream-labels
license: []
language: []
config_name: default
column_names: ["caption","orig_caption","image","__index_level_0__"]
features:
[{"name":"caption","dtype":"string"},{"name":"orig_caption","dtype":"string"},{"name":"image","dtype":"image"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: EugeneDenteh/1
license: ["cc"]
language: ["en"]
config_name: default
column_names: ["image","image_directory","caption"]
tags:
["task_categories:text-generation","language:en","license:cc","size_categories:n<1K","imagefolder","image","datasets","mlcroissant","region:us","croissant"]

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


hub_id: geshijoker/chaosmining
license: ["cc-by-nc-4.0"]
language: []
config_name: vision_SBRP
column_names: ["image","foreground_label","background_label","position_x","position_y"]
tags:
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features:
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hub_id: sunitha-ravi/financebench_perturb_labels
license: []
language: []
config_name: default
column_names: ["messages","LABEL"]
features:
[{"name":"messages","list":[{"name":"role","dtype":"string"},{"name":"content","dtype":"string"}]},{"name":"LABEL","dtype":"string"}]


hub_id: Xuehai/MMWorld
license: ["cc-by-4.0"]
language: []
config_name: default
tags:
["license:cc-by-4.0","size_categories:n<1K","parquet","text","video","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["questions","video_url","captions","correct_answer_label","subdiscipline","video_id","discipline","clip_video_url","duration"]

features:
[{"name":"questions","list":[{"name":"answer","dtype":"string"},{"name":"correct_answer_label","dtype":"string"},{"name":"options","struct":[{"name":")","dtype":"string"},{"name":"a","dtype":"string"},{"name":"b","dtype":"string"},{"name":"c","dtype":"string"},{"name":"d","dtype":"string"}]},{"name":"question","dtype":"string"},{"name":"question_only","dtype":"bool"},{"name":"requires_audio","dtype":"bool"},{"name":"requires_domain_knowledge","dtype":"bool"},{"name":"requires_visual","dtype":"bool"},{"name":"type","dtype":"string"}]},{"name":"video_url","dtype":"string"},{"name":"captions","sequence":"string"},{"name":"correct_answer_label","dtype":"string"},{"name":"subdiscipline","dtype":"string"},{"name":"video_id","dtype":"string"},{"name":"discipline","dtype":"string"},{"name":"clip_video_url","dtype":"string"},{"name":"duration","dtype":"string"}]


license: []
language: []
config_name: default
column_names: ["query","id_prompt","response","unit_tests"]
hub_id:
PolarisEvals/trainingcriteria_fct_iter2_fctO16_all_3K_unique_prompts_completeness_2stage_unittest_response

features:
[{"name":"query","dtype":"string"},{"name":"id_prompt","dtype":"int64"},{"name":"response","dtype":"string"},{"name":"unit_tests","sequence":"string"}]


hub_id: sunitha-ravi/llama-3-8b-financebench-answer-perturb
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["messages","LABEL","generated_text","reasoning","score"]
features:
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hub_id: PolarisEvals/shikib_dataset_completeness_2stage_unittest_debug
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["query","id_prompt","response","unit_tests","messages","gpt-4-0613_outputs"]
features:
[{"name":"query","dtype":"string"},{"name":"id_prompt","dtype":"int64"},{"name":"response","dtype":"string"},{"name":"unit_tests","sequence":"string"},{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"gpt-4-0613_outputs","struct":[{"name":"examples","list":[{"name":"justification","dtype":"string"},{"name":"score","dtype":"float64"},{"name":"unit_test","dtype":"string"}]}]}]


hub_id: appier-ai-research/StreamBench
license: []
language: []
config_name: toolbench
column_names: ["query","api_name","api_desc","api_input"]
features:
[{"name":"query","dtype":"string"},{"name":"api_name","dtype":"string"},{"name":"api_desc","dtype":"string"},{"name":"api_input","dtype":"string"}]


hub_id: staturus/fashion1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["image","id","gender","articleType","baseColour","productDisplayName","link"]
features:
[{"name":"image","struct":[{"name":"bytes","dtype":"binary"},{"name":"path","dtype":"string"}]},{"name":"id","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"articleType","dtype":"string"},{"name":"baseColour","dtype":"string"},{"name":"productDisplayName","dtype":"string"},{"name":"link","dtype":"string"}]


hub_id: cairocode/EMOV_IEMO_OMG_MSP_CREMA_003
license: []
language: []
config_name: default
column_names:
["image","speaker","speakerID","label","dataset","valence","arousal","domination","arousal_norm","valence_norm"]

features:
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hub_id: cairocode/EMOV_003
license: []
language: []
config_name: default
column_names: ["image","speaker","speakerID","label"]
features:
[{"name":"image","dtype":"image"},{"name":"speaker","dtype":"string"},{"name":"speakerID","dtype":"int64"},{"name":"label","dtype":"int64"}]


hub_id: vinhtran2611/lmsys-chat-1m_filtered_formated
license: []
language: []
config_name: default
column_names: ["text","source","type"]
features:
[{"name":"text","dtype":"string"},{"name":"source","dtype":"string"},{"name":"type","dtype":"string"}]


hub_id: vinhtran2611/FuseChat-Mixture_filtered
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","dataset","conversations","model"]
features:
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hub_id: ContextualAI/ultrabin_clean_max_chosen_min_rejected_rationalized_instruction_following
license: []
language: []
config_name: default
column_names:
["source","prompt","chosen","chosen-avg-rating","chosen-rating","chosen-model","chosen-rationale","rejected","rejected-avg-rating","rejected-rating","rejected-model","rejected-rationale","ranking-attribute"]

features:
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hub_id: yuchenlin/zero-eval
license: []
language: []
config_name: mmlu-redux
column_names: ["id","question","choices","correct_answer","source","config","task_type"]
features:
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hub_id: Fizzarolli/wattpad2
license: []
language: []
config_name: default
column_names:
["title","description","tags","chapter_names","chapter_contents","language","language_confidence","overall_nsfw_score","chapter_nsfw_scores","overall_ai_score","chapter_ai_scores"]

features:
[{"name":"title","dtype":"string"},{"name":"description","dtype":"string"},{"name":"tags","sequence":"string"},{"name":"chapter_names","sequence":"string"},{"name":"chapter_contents","sequence":"string"},{"name":"language","dtype":"string"},{"name":"language_confidence","dtype":"float64"},{"name":"overall_nsfw_score","dtype":"float64"},{"name":"chapter_nsfw_scores","sequence":"float64"},{"name":"overall_ai_score","dtype":"float64"},{"name":"chapter_ai_scores","sequence":"float64"}]


hub_id: ContextualAI/ultrabin_clean_max_chosen_rand_rejected_rationalized
license: []
language: []
config_name: default
column_names:
["source","prompt","chosen","chosen-rating","chosen-model","chosen-annotations","rejected","rejected-rating","rejected-model","rejected-annotations"]

features:
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hub_id: MikeGreen2710/image_data_residential_merged
license: []
language: []
config_name: default
column_names: ["id","images","row_no","__index_level_0__"]
features:
[{"name":"id","dtype":"string"},{"name":"images","sequence":"string"},{"name":"row_no","dtype":"int64"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: allenai/SciRIFF-train-mix
license: ["odc-by"]
language: ["en"]
config_name: default
column_names: ["dataset","id","messages"]
tags:
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hub_id: vinhtran2611/Buzz_filtered
license: []
language: []
config_name: default
column_names: ["conversations","source","stack"]
features:
[{"name":"conversations","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]},{"name":"source","dtype":"string"},{"name":"stack","dtype":"string"}]


hub_id: vinhtran2611/Buzz_filtered_formated
license: []
language: []
config_name: default
column_names: ["source","text","type"]
features:
[{"name":"source","dtype":"string"},{"name":"text","dtype":"string"},{"name":"type","dtype":"string"}]


hub_id: vinhtran2611/semiconductor_only_v2_formated_filtered_formated
license: []
language: []
config_name: default
column_names: ["source","input","instruction","output","text","type"]
features:
[{"name":"source","dtype":"string"},{"name":"input","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"output","dtype":"string"},{"name":"text","dtype":"string"},{"name":"type","dtype":"string"}]


hub_id: vinhtran2611/OpenOrca_filtered_formated
license: []
language: []
config_name: default
column_names: ["text","instruction","input","output","type","source"]
features:
[{"name":"text","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"type","dtype":"string"},{"name":"source","dtype":"string"}]


hub_id: vinhtran2611/semiconductor_only_v3_filtered_formated
license: []
language: []
config_name: default
column_names: ["source","input","instruction","output","text","type","conversations"]
features:
[{"name":"source","dtype":"string"},{"name":"input","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"output","dtype":"string"},{"name":"text","dtype":"string"},{"name":"type","dtype":"string"},{"name":"conversations","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: aksj/audio-test-dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["audio","input_prompt","output_prompt"]
features:
[{"name":"audio","struct":[{"name":"bytes","dtype":"binary"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"input_prompt","dtype":"string"},{"name":"output_prompt","dtype":"string"}]


hub_id: laputaseed2/dsfkjshdfk
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["text","label","place"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":"string"},{"name":"place","dtype":"string"}]


hub_id: glee4810/TrustSQL
license: ["cc-by-4.0"]
language: []
config_name: default
column_names: ["question","query","template","val_dict","db_id","type","note","id"]
features:
[{"name":"question","dtype":"string"},{"name":"query","dtype":"string"},{"name":"template","dtype":"string"},{"name":"val_dict","dtype":"string"},{"name":"db_id","dtype":"string"},{"name":"type","dtype":"string"},{"name":"note","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: ycfNTU/usb_promptasp_sum
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","domain","summ_idx","topic_name","text","output","summary"]
features:
[{"name":"id","dtype":"string"},{"name":"domain","dtype":"string"},{"name":"summ_idx","dtype":"int32"},{"name":"topic_name","dtype":"string"},{"name":"text","dtype":"string"},{"name":"output","dtype":"string"},{"name":"summary","dtype":"string"}]


hub_id: iknow-lab/dialogsum_cluster10_aug0612
license: []
language: []
config_name: default
column_names: ["id","dialogue","summary","topic","cluster_id","embedding","round_idx","augmented_idx"]
features:
[{"name":"id","dtype":"string"},{"name":"dialogue","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"topic","dtype":"string"},{"name":"cluster_id","dtype":"int64"},{"name":"embedding","sequence":"float64"},{"name":"round_idx","dtype":"float64"},{"name":"augmented_idx","dtype":"float64"}]


hub_id: tyson0420/cleaned_stack_exchange_python_eval
license: []
language: []
config_name: default
column_names: ["qid","question","date","metadata","response_j","response_k","__index_level_0__"]
features:
[{"name":"qid","dtype":"int64"},{"name":"question","dtype":"string"},{"name":"date","dtype":"string"},{"name":"metadata","sequence":"string"},{"name":"response_j","dtype":"string"},{"name":"response_k","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: j5ng/doctor-closing-ko
license: []
language: []
config_name: default
column_names: ["sentence","label","__index_level_0__"]
features:
[{"name":"sentence","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: AdithyaSK/Arxiv_AI_Research_Papers
license: []
language: []
config_name: default
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":"versions","list":[{"name":"version","dtype":"string"},{"name":"created","dtype":"string"}]},{"name":"update_date","dtype":"int64"},{"name":"authors_parsed","sequence":{"sequence":"string"}}]


hub_id: asahi417/seamless-align-enA-jaA.speaker-embedding.hubert-xl
license: []
language: []
config_name: subset_99
column_names:
["line_no","enA.id","enA.laser_score","jaA.id","jaA.laser_score","jaA.audio.speaker_embedding","jaA.audio.speaker_embedding.full","enA.audio.speaker_embedding","enA.audio.speaker_embedding.full"]

features:
[{"name":"line_no","dtype":"int64"},{"name":"enA.id","dtype":"string"},{"name":"enA.laser_score","dtype":"float64"},{"name":"jaA.id","dtype":"string"},{"name":"jaA.laser_score","dtype":"float64"},{"name":"jaA.audio.speaker_embedding","sequence":"float32"},{"name":"jaA.audio.speaker_embedding.full","sequence":{"sequence":"float32"}},{"name":"enA.audio.speaker_embedding","sequence":"float32"},{"name":"enA.audio.speaker_embedding.full","sequence":{"sequence":"float32"}}]


hub_id: meghak15/synthetic_embed_chat01.csv
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["customer_input","response","train"]
features:
[{"name":"customer_input","dtype":"string"},{"name":"response","dtype":"string"},{"name":"train","num_bytes":279569,"num_examples":512}]


hub_id: Priyansh4320/sales-conversation-dataset-via-autogen
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["complete_conversation","shopkeeper_dialoughes","customer_dialouges","sales_product"]
features:
[{"name":"complete_conversation","sequence":"string"},{"name":"shopkeeper_dialoughes","sequence":"string"},{"name":"customer_dialouges","sequence":"string"},{"name":"sales_product","dtype":"string"}]


hub_id: jclian91/autotrain-wider-face
license: ["bsd"]
language: []
config_name: default
column_names: ["image","objects"]
tags:
["license:bsd","size_categories:10K<n<100K","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"objects","sequence":[{"name":"bbox","sequence":"float32","length":4},{"name":"category","dtype":{"class_label":{"names":{"0":"Human Face"}}}}]}]


hub_id: Sohaib9920/cyber_ds
license: []
language: []
config_name: default
column_names: ["Tweet_Content","Cyberbullying Y/N","hidden_state"]
features:
[{"name":"Tweet_Content","dtype":"string"},{"name":"Cyberbullying Y/N","dtype":"string"},{"name":"hidden_state","sequence":"float32"}]


hub_id: Sohaib9920/sentiment_ds
license: []
language: []
config_name: default
column_names: ["Tweet_Content","Sentiment analysis","hidden_state"]
features:
[{"name":"Tweet_Content","dtype":"string"},{"name":"Sentiment analysis","dtype":"string"},{"name":"hidden_state","sequence":"float32"}]


hub_id: minhthong/goodstock_data
license: ["mit"]
language: []
config_name: default
column_names:
["M\u00e3","Gi\u00e1 m\u1ee5c ti\u00eau","Gi\u00e1 hi\u1ec7n t\u1ea1i","K\u1ef3 v\u1ecdng","Khuy\u1ebfn ngh\u1ecb"]

features:
[{"name":"M\u00e3","dtype":"string"},{"name":"Gi\u00e1 m\u1ee5c ti\u00eau","dtype":"string"},{"name":"Gi\u00e1 hi\u1ec7n t\u1ea1i","dtype":"string"},{"name":"K\u1ef3 v\u1ecdng","dtype":"string"},{"name":"Khuy\u1ebfn ngh\u1ecb","dtype":"string"}]


hub_id: LocalDoc/azerbaijani-ner-dataset
license: ["cc-by-nc-4.0"]
language: ["az"]
config_name: default
column_names: ["index","tokens","ner_tags"]
tags:
["task_categories:token-classification","task_categories:text-classification","language:az","license:cc-by-nc-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","doi:10.57967/hf/2484","region:us","ner","croissant"]

features:
[{"name":"index","dtype":"string"},{"name":"tokens","dtype":"string"},{"name":"ner_tags","dtype":"string"}]


hub_id: shanearora/CaLMQA
license: ["mit"]
config_name: default
column_names: ["language","question_type","question","question_english","answer"]
tags:
["multilinguality:multilingual","language:aa","language:ar","language:bal","language:de","language:en","language:es","language:fj","language:fo","language:he","language:hi","language:hil","language:hu","language:ja","language:ko","language:ru","language:rn","language:pap","language:ps","language:sm","language:to","language:tn","language:wo","language:zh","license:mit","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","doi:10.57967/hf/2525","region:us","croissant"]

language:
["aa","ar","bal","de","en","es","fj","fo","he","hi","hil","hu","ja","ko","ru","rn","pap","ps","sm","to","tn","wo","zh"]

features:
[{"name":"language","dtype":{"class_label":{"names":{"0":"Afar","1":"Arabic","2":"Balochi","3":"Chinese","4":"English","5":"Faroese","6":"Fijian","7":"German","8":"Hebrew","9":"Hiligaynon","10":"Hindi","11":"Hungarian","12":"Japanese","13":"Kirundi","14":"Korean","15":"Papiamento","16":"Pashto","17":"Russian","18":"Samoan","19":"Spanish","20":"Tongan","21":"Tswana","22":"Wolof"}}}},{"name":"question_type","dtype":{"class_label":{"names":{"0":"culturally agnostic","1":"culturally specific"}}}},{"name":"question","dtype":"string"},{"name":"question_english","dtype":"string"},{"name":"answer","dtype":"string"}]


hub_id: nhyha/ORPO-DPO
license: []
language: []
config_name: default
column_names: ["main_source","original_source","system","prompt","chosen","rejected","__index_level_0__"]
features:
[{"name":"main_source","dtype":"string"},{"name":"original_source","dtype":"string"},{"name":"system","dtype":"string"},{"name":"prompt","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":"__index_level_0__","dtype":"int64"}]


hub_id: ylacombe/mls-eng-tags-v4
license: []
language: []
config_name: default
column_names:
["original_path","begin_time","end_time","original_text","audio_duration","speaker_id","book_id","snr","c50","speech_duration","speaking_rate","phonemes","stoi","si-sdr","pesq","text","utterance_pitch_mean","utterance_pitch_std","gender"]

features:
[{"name":"original_path","dtype":"string"},{"name":"begin_time","dtype":"float64"},{"name":"end_time","dtype":"float64"},{"name":"original_text","dtype":"string"},{"name":"audio_duration","dtype":"float64"},{"name":"speaker_id","dtype":"string"},{"name":"book_id","dtype":"string"},{"name":"snr","dtype":"float32"},{"name":"c50","dtype":"float32"},{"name":"speech_duration","dtype":"float64"},{"name":"speaking_rate","dtype":"float64"},{"name":"phonemes","dtype":"string"},{"name":"stoi","dtype":"float64"},{"name":"si-sdr","dtype":"float64"},{"name":"pesq","dtype":"float64"},{"name":"text","dtype":"string"},{"name":"utterance_pitch_mean","dtype":"float64"},{"name":"utterance_pitch_std","dtype":"float64"},{"name":"gender","dtype":"string"}]


hub_id: nhyha/ORPO
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Unnamed: 0","main_source","original_source","system","prompt","chosen","rejected"]
features:
[{"name":"Unnamed: 0","dtype":"int64"},{"name":"main_source","dtype":"string"},{"name":"original_source","dtype":"string"},{"name":"system","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"chosen","dtype":"string"},{"name":"rejected","dtype":"string"}]


hub_id: wskhanh/manipulation-mfc-bench
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["manipulation type","manipulate","caption","image_path","id"]
tags:
["license:apache-2.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","doi:10.57967/hf/2492","region:us","croissant"]

features:
[{"name":"manipulation type","dtype":"string"},{"name":"manipulate","dtype":"int64"},{"name":"caption","dtype":"string"},{"name":"image_path","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: ylacombe/mls-eng-text-tags-v4
license: []
language: []
config_name: default
column_names:
["original_path","begin_time","end_time","original_text","audio_duration","speaker_id","book_id","snr","c50","speech_duration","speaking_rate","phonemes","stoi","si-sdr","pesq","text","utterance_pitch_mean","utterance_pitch_std","gender","pitch","noise","reverberation","speech_monotony","sdr_noise","pesq_speech_quality"]

features:
[{"name":"original_path","dtype":"string"},{"name":"begin_time","dtype":"float64"},{"name":"end_time","dtype":"float64"},{"name":"original_text","dtype":"string"},{"name":"audio_duration","dtype":"float64"},{"name":"speaker_id","dtype":"string"},{"name":"book_id","dtype":"string"},{"name":"snr","dtype":"float32"},{"name":"c50","dtype":"float32"},{"name":"speech_duration","dtype":"float64"},{"name":"speaking_rate","dtype":"string"},{"name":"phonemes","dtype":"string"},{"name":"stoi","dtype":"float64"},{"name":"si-sdr","dtype":"float64"},{"name":"pesq","dtype":"float64"},{"name":"text","dtype":"string"},{"name":"utterance_pitch_mean","dtype":"float64"},{"name":"utterance_pitch_std","dtype":"float64"},{"name":"gender","dtype":"string"},{"name":"pitch","dtype":"string"},{"name":"noise","dtype":"string"},{"name":"reverberation","dtype":"string"},{"name":"speech_monotony","dtype":"string"},{"name":"sdr_noise","dtype":"string"},{"name":"pesq_speech_quality","dtype":"string"}]


hub_id: davanstrien/YouTube-Commons-en-sample
license: []
language: []
config_name: default
column_names:
["video_id","video_link","title","text","channel","channel_id","date","license","original_language","language_id_method","transcription_language","word_count","character_count"]

features:
[{"name":"video_id","dtype":"large_string"},{"name":"video_link","dtype":"large_string"},{"name":"title","dtype":"large_string"},{"name":"text","dtype":"large_string"},{"name":"channel","dtype":"large_string"},{"name":"channel_id","dtype":"large_string"},{"name":"date","dtype":"large_string"},{"name":"license","dtype":"large_string"},{"name":"original_language","dtype":"large_string"},{"name":"language_id_method","dtype":"large_string"},{"name":"transcription_language","dtype":"large_string"},{"name":"word_count","dtype":"int64"},{"name":"character_count","dtype":"int64"}]


hub_id: asahi417/seamless-align-enA-zhA.speaker-embedding.hubert-xl
license: []
language: []
config_name: subset_99
column_names:
["line_no","enA.id","enA.laser_score","zhA.id","zhA.laser_score","enA.audio.speaker_embedding","enA.audio.speaker_embedding.full","zhA.audio.speaker_embedding","zhA.audio.speaker_embedding.full"]

features:
[{"name":"line_no","dtype":"int64"},{"name":"enA.id","dtype":"string"},{"name":"enA.laser_score","dtype":"float64"},{"name":"zhA.id","dtype":"string"},{"name":"zhA.laser_score","dtype":"float64"},{"name":"enA.audio.speaker_embedding","sequence":"float32"},{"name":"enA.audio.speaker_embedding.full","sequence":{"sequence":"float32"}},{"name":"zhA.audio.speaker_embedding","sequence":"float32"},{"name":"zhA.audio.speaker_embedding.full","sequence":{"sequence":"float32"}}]


hub_id: jordiclive/test-shades
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: iamnguyen/athena
license: []
language: []
config_name: ultrachat-format
column_names: ["idx","category","messages"]
features:
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hub_id: nhyha/ORPO_DPO_2
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["Unnamed: 0","main_source_x","original_source_x","system_x","prompt","chosen_x","rejected_x","main_source_y","original_source_y","system_y","chosen_y","rejected_y"]

features:
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hub_id: mehdie/fine_tune_dataset_STER_ids
license: []
language: []
config_name: default
column_names: ["ids","text","labels"]
features:
[{"name":"ids","dtype":"string"},{"name":"text","dtype":"string"},{"name":"labels","dtype":"int64"}]


hub_id: MikeGreen2710/12-jun-id-address-hn
license: []
language: []
config_name: default
column_names: ["id","address","row_no"]
features:
[{"name":"id","dtype":"string"},{"name":"address","dtype":"string"},{"name":"row_no","dtype":"int64"}]


hub_id: meghak15/transformed_huggingface.csv
license: []
language: []
config_name: default
column_names:
["instruction","customer_input","response","Unnamed: 3","Unnamed: 4","Unnamed: 5","Unnamed: 6","Unnamed: 7","Unnamed: 8","Unnamed: 9","Unnamed: 10","Unnamed: 11","Unnamed: 12","Unnamed: 13","Unnamed: 14","Unnamed: 15","Unnamed: 16","Unnamed: 17","Unnamed: 18","Unnamed: 19","Unnamed: 20","Unnamed: 21","Unnamed: 22","Unnamed: 23","Unnamed: 24","Unnamed: 25","Unnamed: 26","Unnamed: 27","text"]

features:
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hub_id: jkanishkha0305/royal-touche-dataset
license: []
language: []
config_name: default
column_names:
["image","Product_Name","Price","Description","Characteristics","Thickness","Anti Bacterial","Product Size","Anti Scratch","Product Finish","UV Colour Fastness"]

features:
[{"name":"image","dtype":"image"},{"name":"Product_Name","dtype":"string"},{"name":"Price","dtype":"string"},{"name":"Description","dtype":"string"},{"name":"Characteristics","dtype":"string"},{"name":"Thickness","dtype":"string"},{"name":"Anti Bacterial","dtype":"string"},{"name":"Product Size","dtype":"string"},{"name":"Anti Scratch","dtype":"string"},{"name":"Product Finish","dtype":"string"},{"name":"UV Colour Fastness","dtype":"string"}]


hub_id: CoIR-Retrieval/codetrans-dl-queries-corpus
license: []
language: []
config_name: default
column_names: ["_id","partition","text","language","meta_information","title"]
features:
[{"name":"_id","dtype":"string"},{"name":"partition","dtype":"string"},{"name":"text","dtype":"string"},{"name":"language","dtype":"string"},{"name":"meta_information","struct":[{"name":"framework","dtype":"string"}]},{"name":"title","dtype":"string"}]


hub_id: CoIR-Retrieval/codetrans-dl-qrels
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["query_id","corpus_id","score"]
features:
[{"name":"query_id","dtype":"string"},{"name":"corpus_id","dtype":"string"},{"name":"score","dtype":"int64"}]


hub_id: malteos/translation_test
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["dataset","prompt","chosen","rejected","translated_prompt","translated_chosen","translated_rejected"]

features:
[{"name":"dataset","dtype":"string"},{"name":"prompt","list":[{"name":"content","dtype":"string"},{"name":"role","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":"translated_prompt","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"translated_chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"translated_rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: CoIR-Retrieval/cosqa-queries-corpus
license: []
language: []
config_name: default
column_names: ["_id","partition","text","title","language","meta_information"]
features:
[{"name":"_id","dtype":"string"},{"name":"partition","dtype":"string"},{"name":"text","dtype":"string"},{"name":"title","dtype":"string"},{"name":"language","dtype":"string"},{"name":"meta_information","struct":[{"name":"dummy_field","dtype":"string"}]}]


hub_id: DynamicSuperb/AudioSpatialDistancePrediction
license: ["cc-by-4.0"]
language: []
config_name: default
column_names: ["audio","file","instruction","value"]
tags:
["license:cc-by-4.0","size_categories:n<1K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"audio","dtype":"audio"},{"name":"file","dtype":"int64"},{"name":"instruction","dtype":"string"},{"name":"value","dtype":"float64"}]


hub_id: mnm373/SFT_dataset_with_hallucination_before_formatted
license: []
language: []
config_name: default
column_names: ["index","instruction","input","output"]
features:
[{"name":"index","dtype":"int64"},{"name":"instruction","dtype":"string"},{"name":"input","dtype":"string"},{"name":"output","dtype":"string"}]


hub_id: jkanishkha0305/royal-touche-test-dataset
license: []
language: []
config_name: default
column_names:
["image","application_photo","Product_Name","Price","Description","Characteristics","Thickness","Anti Bacterial","Product Size","Anti Scratch","Product Finish","UV Colour Fastness"]

features:
[{"name":"image","dtype":"image"},{"name":"application_photo","dtype":"string"},{"name":"Product_Name","dtype":"string"},{"name":"Price","dtype":"string"},{"name":"Description","dtype":"string"},{"name":"Characteristics","dtype":"string"},{"name":"Thickness","dtype":"string"},{"name":"Anti Bacterial","dtype":"string"},{"name":"Product Size","dtype":"string"},{"name":"Anti Scratch","dtype":"string"},{"name":"Product Finish","dtype":"string"},{"name":"UV Colour Fastness","dtype":"string"}]


hub_id: DynamicSuperb/ProfanityDetection_TAPAD
license: ["cc-by-nc-sa-4.0"]
language: []
config_name: default
column_names: ["audio","file","instruction","label","language","word"]
tags:
["license:cc-by-nc-sa-4.0","size_categories:10K<n<100K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"audio","dtype":"audio"},{"name":"file","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"label","dtype":"string"},{"name":"language","dtype":"string"},{"name":"word","dtype":"string"}]


hub_id: DynamicSuperb/GenderVoiceRecognition
license: ["cc0-1.0"]
language: []
config_name: default
column_names: ["audio","file","instruction","label"]
tags:
["license:cc0-1.0","size_categories:n<1K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: rohit901/VANE-Bench
license: ["cc-by-nc-sa-4.0"]
language: ["en"]
config_name: default
tags:
["task_categories:question-answering","task_categories:visual-question-answering","language:en","license:cc-by-nc-sa-4.0","size_categories:100K<n<1M","parquet","image","text","datasets","dask","mlcroissant","arxiv:2406.10326","doi:10.57967/hf/2504","region:us","croissant"]

column_names:
["frame_0","frame_1","frame_2","frame_3","frame_4","frame_5","frame_6","frame_7","frame_8","frame_9","category","sub_category","video_folder","question","answer"]

features:
[{"name":"frame_0","dtype":"image"},{"name":"frame_1","dtype":"image"},{"name":"frame_2","dtype":"image"},{"name":"frame_3","dtype":"image"},{"name":"frame_4","dtype":"image"},{"name":"frame_5","dtype":"image"},{"name":"frame_6","dtype":"image"},{"name":"frame_7","dtype":"image"},{"name":"frame_8","dtype":"image"},{"name":"frame_9","dtype":"image"},{"name":"category","dtype":"string"},{"name":"sub_category","dtype":"string"},{"name":"video_folder","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"}]


hub_id: JuDDGES/en-court-raw
license: []
language: ["en"]
config_name: default
tags:
["language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","region:us","england","wales","appeal court","criminal court","judgements","croissant"]

column_names:
["_id","citation","signature","date","publicationDate","type","excerpt","content","judges","caseNumbers","citation_references","legislation","file_name","appeal_type","appeal_outcome","xml_uri","uri"]

features:
[{"name":"_id","dtype":"string"},{"name":"citation","dtype":"string"},{"name":"signature","dtype":"string"},{"name":"date","dtype":"null"},{"name":"publicationDate","dtype":"timestamp[s]"},{"name":"type","dtype":"string"},{"name":"excerpt","dtype":"string"},{"name":"content","dtype":"string"},{"name":"judges","sequence":"string"},{"name":"caseNumbers","sequence":"string"},{"name":"citation_references","sequence":"string"},{"name":"legislation","sequence":"string"},{"name":"file_name","dtype":"string"},{"name":"appeal_type","dtype":"string"},{"name":"appeal_outcome","dtype":"string"},{"name":"xml_uri","dtype":"string"},{"name":"uri","dtype":"string"}]


hub_id: ncbi/MedCalc-Bench
license: ["cc-by-sa-4.0"]
language: []
config_name: default
tags:
["license:cc-by-sa-4.0","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["Row Number","Calculator ID","Calculator Name","Category","Output Type","Note ID","Note Type","Patient Note","Question","Relevant Entities","Ground Truth Answer","Lower Limit","Upper Limit","Ground Truth Explanation"]

features:
[{"name":"Row Number","dtype":"int64"},{"name":"Calculator ID","dtype":"int64"},{"name":"Calculator Name","dtype":"string"},{"name":"Category","dtype":"string"},{"name":"Output Type","dtype":"string"},{"name":"Note ID","dtype":"string"},{"name":"Note Type","dtype":"string"},{"name":"Patient Note","dtype":"string"},{"name":"Question","dtype":"string"},{"name":"Relevant Entities","dtype":"string"},{"name":"Ground Truth Answer","dtype":"string"},{"name":"Lower Limit","dtype":"string"},{"name":"Upper Limit","dtype":"string"},{"name":"Ground Truth Explanation","dtype":"string"}]


hub_id: Albertmade/into-the-unknown
license: []
language: []
config_name: default
column_names: ["prompt","classes","answer_index","round"]
features:
[{"name":"prompt","dtype":"string"},{"name":"classes","sequence":"string"},{"name":"answer_index","dtype":"int32"},{"name":"round","dtype":"int32"}]


hub_id: gabrielmbmb/testing-vllm
license: []
language: []
config_name: text_generation_1
column_names: ["instruction","completion","generation","distilabel_metadata","model_name"]
features:
[{"name":"instruction","dtype":"string"},{"name":"completion","dtype":"string"},{"name":"generation","dtype":"string"},{"name":"distilabel_metadata","struct":[{"name":"raw_output_text_generation_1","dtype":"string"}]},{"name":"model_name","dtype":"string"}]


hub_id: DynamicSuperb/Emotional_Voice_Conversion_Dataset
license: ["mit"]
language: []
config_name: default
column_names: ["audio","file","instruction","label_audio","wrong_audio1","wrong_audio2","wrong_audio3"]
features:
[{"name":"audio","dtype":"audio"},{"name":"file","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"label_audio","dtype":"string"},{"name":"wrong_audio1","dtype":"string"},{"name":"wrong_audio2","dtype":"string"},{"name":"wrong_audio3","dtype":"string"}]


hub_id: unigram/LogicNLI-reimpl
license: []
language: []
config_name: default
column_names:
["premise","hypothesis","label","premise_tptp","hypothesis_tptp","proof_inputs","proof","rule_concentration"]

features:
[{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":"string"},{"name":"premise_tptp","dtype":"string"},{"name":"hypothesis_tptp","dtype":"string"},{"name":"proof_inputs","sequence":"string"},{"name":"proof","dtype":"string"},{"name":"rule_concentration","dtype":"int64"}]


hub_id: yubo2333/MMLongBench-Doc
license: []
language: []
config_name: default
column_names: ["doc_id","doc_type","question","answer","evidence_pages","evidence_sources","answer_format"]
features:
[{"name":"doc_id","dtype":"string"},{"name":"doc_type","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"evidence_pages","dtype":"string"},{"name":"evidence_sources","dtype":"string"},{"name":"answer_format","dtype":"string"}]


hub_id: CoIR-Retrieval/codefeedback-st-queries-corpus
license: []
language: []
config_name: default
column_names: ["_id","partition","text","title","language","meta_information"]
features:
[{"name":"_id","dtype":"string"},{"name":"partition","dtype":"string"},{"name":"text","dtype":"string"},{"name":"title","dtype":"string"},{"name":"language","dtype":"string"},{"name":"meta_information","struct":[{"name":"resource","dtype":"string"}]}]


hub_id: gabrielmbmb/vllm-structured-generation
license: []
language: []
config_name: text_generation_0
column_names: ["instruction","structured_output","generation","model_name"]
features:
[{"name":"instruction","dtype":"string"},{"name":"structured_output","struct":[{"name":"format","dtype":"string"},{"name":"schema","struct":[{"name":"properties","struct":[{"name":"description","struct":[{"name":"title","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"diet","struct":[{"name":"title","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"habitat","struct":[{"name":"title","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"name","struct":[{"name":"title","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"role","struct":[{"name":"title","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"species","struct":[{"name":"title","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"weapon","struct":[{"name":"title","dtype":"string"},{"name":"type","dtype":"string"}]}]},{"name":"required","sequence":"string"},{"name":"title","dtype":"string"},{"name":"type","dtype":"string"}]}]},{"name":"generation","dtype":"null"},{"name":"model_name","dtype":"null"}]


hub_id: FilipiGaspar/2024-05-31-QeA-MMGD-OriginaisSite
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["T\u00f3pico","Pergunta original do site","output","input","instruction"]
features:
[{"name":"T\u00f3pico","dtype":"string"},{"name":"Pergunta original do site","dtype":"string"},{"name":"output","dtype":"string"},{"name":"input","dtype":"string"},{"name":"instruction","dtype":"string"}]


hub_id: livebench/model_answer
license: []
language: []
config_name: default
column_names: ["question_id","answer_id","model_id","choices","tstamp","category","task"]
features:
[{"name":"question_id","dtype":"string"},{"name":"answer_id","dtype":"string"},{"name":"model_id","dtype":"string"},{"name":"choices","list":[{"name":"index","dtype":"int64"},{"name":"turns","sequence":"string"}]},{"name":"tstamp","dtype":"float64"},{"name":"category","dtype":"string"},{"name":"task","dtype":"string"}]


hub_id: livebench/model_judgment
license: []
language: []
config_name: default
column_names: ["question_id","category","model","score","turn","tstamp","task"]
features:
[{"name":"question_id","dtype":"string"},{"name":"category","dtype":"string"},{"name":"model","dtype":"string"},{"name":"score","dtype":"float64"},{"name":"turn","dtype":"int64"},{"name":"tstamp","dtype":"float64"},{"name":"task","dtype":"string"}]


hub_id: ErfanMoosaviMonazzah/persian-instructions
license: []
language: ["fa"]
config_name: default
column_names: ["id","input","output"]
tags:
["task_categories:text-generation","task_categories:text2text-generation","language:fa","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","Instructions","Farsi","Persian","Persian Instruction Fine-tuning","croissant"]


hub_id: ycfNTU/wikiasp_animal_promptasp_sum
license: []
language: []
config_name: default
column_names: ["exid","topic","domain","text","output","summary"]
features:
[{"name":"exid","dtype":"string"},{"name":"topic","dtype":"string"},{"name":"domain","dtype":"string"},{"name":"text","dtype":"string"},{"name":"output","dtype":"string"},{"name":"summary","dtype":"string"}]


hub_id: cm93/eurosat
license: ["mit"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["task_categories:image-classification","license:mit","size_categories:10K<n<100K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"Forest","1":"River","2":"Highway","3":"AnnualCrop","4":"SeaLake","5":"HerbaceousVegetation","6":"Industrial","7":"Residential","8":"PermanentCrop","9":"Pasture"}}}}]


hub_id: Baprick/metaset1
license: []
language: []
config_name: default
column_names: ["prompt","input","output","path","instruction"]
features:
[{"name":"prompt","dtype":"string"},{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"path","dtype":"string"},{"name":"instruction","dtype":"string"}]


hub_id: NuclearAi/Nuke-Python-Verse
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["conversations"]
tags:
["task_categories:question-answering","task_categories:text-generation","task_categories:text2text-generation","language:en","license:apache-2.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","python","synthetic","coding","synthetic code dataset","croissant"]


hub_id: danjacobellis/imagenet_hq_feat
tags: ["size_categories:10K<n<100K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["label","bytes","shape","codes","codes_shape","cls_tokens","pooled"]
features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"tench, Tinca tinca","1":"goldfish, Carassius auratus","2":"great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias","3":"tiger shark, Galeocerdo cuvieri","4":"hammerhead, hammerhead shark","5":"electric ray, crampfish, numbfish, torpedo","6":"stingray","7":"cock","8":"hen","9":"ostrich, Struthio camelus","10":"brambling, Fringilla montifringilla","11":"goldfinch, Carduelis carduelis","12":"house finch, linnet, Carpodacus mexicanus","13":"junco, snowbird","14":"indigo bunting, indigo finch, indigo bird, Passerina cyanea","15":"robin, American robin, Turdus migratorius","16":"bulbul","17":"jay","18":"magpie","19":"chickadee","20":"water ouzel, dipper","21":"kite","22":"bald eagle, American eagle, Haliaeetus leucocephalus","23":"vulture","24":"great grey owl, great gray owl, Strix nebulosa","25":"European fire salamander, Salamandra salamandra","26":"common newt, Triturus vulgaris","27":"eft","28":"spotted salamander, Ambystoma maculatum","29":"axolotl, mud puppy, Ambystoma mexicanum","30":"bullfrog, Rana catesbeiana","31":"tree frog, tree-frog","32":"tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui","33":"loggerhead, loggerhead turtle, Caretta caretta","34":"leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea","35":"mud turtle","36":"terrapin","37":"box turtle, box tortoise","38":"banded gecko","39":"common iguana, iguana, Iguana iguana","40":"American chameleon, anole, Anolis carolinensis","41":"whiptail, whiptail lizard","42":"agama","43":"frilled lizard, Chlamydosaurus kingi","44":"alligator lizard","45":"Gila monster, Heloderma suspectum","46":"green lizard, Lacerta viridis","47":"African chameleon, Chamaeleo chamaeleon","48":"Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis","49":"African crocodile, Nile crocodile, Crocodylus niloticus","50":"American alligator, Alligator mississipiensis","51":"triceratops","52":"thunder snake, worm snake, Carphophis amoenus","53":"ringneck snake, ring-necked snake, ring snake","54":"hognose snake, puff adder, sand viper","55":"green snake, grass snake","56":"king snake, kingsnake","57":"garter snake, grass snake","58":"water snake","59":"vine snake","60":"night snake, Hypsiglena torquata","61":"boa constrictor, Constrictor constrictor","62":"rock python, rock snake, Python sebae","63":"Indian cobra, Naja naja","64":"green mamba","65":"sea snake","66":"horned viper, cerastes, sand viper, horned asp, Cerastes cornutus","67":"diamondback, diamondback rattlesnake, Crotalus adamanteus","68":"sidewinder, horned rattlesnake, Crotalus cerastes","69":"trilobite","70":"harvestman, daddy longlegs, Phalangium opilio","71":"scorpion","72":"black and gold garden spider, Argiope aurantia","73":"barn spider, Araneus cavaticus","74":"garden spider, Aranea diademata","75":"black widow, Latrodectus mactans","76":"tarantula","77":"wolf spider, hunting spider","78":"tick","79":"centipede","80":"black grouse","81":"ptarmigan","82":"ruffed grouse, partridge, Bonasa umbellus","83":"prairie chicken, prairie grouse, prairie fowl","84":"peacock","85":"quail","86":"partridge","87":"African grey, African gray, Psittacus erithacus","88":"macaw","89":"sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita","90":"lorikeet","91":"coucal","92":"bee eater","93":"hornbill","94":"hummingbird","95":"jacamar","96":"toucan","97":"drake","98":"red-breasted merganser, Mergus serrator","99":"goose","100":"black swan, Cygnus atratus","101":"tusker","102":"echidna, spiny anteater, anteater","103":"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus","104":"wallaby, brush kangaroo","105":"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus","106":"wombat","107":"jellyfish","108":"sea anemone, anemone","109":"brain coral","110":"flatworm, platyhelminth","111":"nematode, nematode worm, roundworm","112":"conch","113":"snail","114":"slug","115":"sea slug, nudibranch","116":"chiton, coat-of-mail shell, sea cradle, polyplacophore","117":"chambered nautilus, pearly nautilus, nautilus","118":"Dungeness crab, Cancer magister","119":"rock crab, Cancer irroratus","120":"fiddler crab","121":"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica","122":"American lobster, Northern lobster, Maine lobster, Homarus americanus","123":"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish","124":"crayfish, crawfish, crawdad, crawdaddy","125":"hermit crab","126":"isopod","127":"white stork, Ciconia ciconia","128":"black stork, Ciconia nigra","129":"spoonbill","130":"flamingo","131":"little blue heron, Egretta caerulea","132":"American egret, great white heron, Egretta albus","133":"bittern","134":"crane","135":"limpkin, Aramus pictus","136":"European gallinule, Porphyrio porphyrio","137":"American coot, marsh hen, mud hen, water hen, Fulica americana","138":"bustard","139":"ruddy turnstone, Arenaria interpres","140":"red-backed sandpiper, dunlin, Erolia alpina","141":"redshank, Tringa totanus","142":"dowitcher","143":"oystercatcher, oyster catcher","144":"pelican","145":"king penguin, Aptenodytes patagonica","146":"albatross, mollymawk","147":"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus","148":"killer whale, killer, orca, grampus, sea wolf, Orcinus orca","149":"dugong, Dugong dugon","150":"sea lion","151":"Chihuahua","152":"Japanese spaniel","153":"Maltese dog, Maltese terrier, Maltese","154":"Pekinese, Pekingese, Peke","155":"Shih-Tzu","156":"Blenheim spaniel","157":"papillon","158":"toy terrier","159":"Rhodesian ridgeback","160":"Afghan hound, Afghan","161":"basset, basset hound","162":"beagle","163":"bloodhound, sleuthhound","164":"bluetick","165":"black-and-tan coonhound","166":"Walker hound, Walker foxhound","167":"English foxhound","168":"redbone","169":"borzoi, Russian wolfhound","170":"Irish wolfhound","171":"Italian greyhound","172":"whippet","173":"Ibizan hound, Ibizan Podenco","174":"Norwegian elkhound, elkhound","175":"otterhound, otter hound","176":"Saluki, gazelle hound","177":"Scottish deerhound, deerhound","178":"Weimaraner","179":"Staffordshire bullterrier, Staffordshire bull terrier","180":"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier","181":"Bedlington terrier","182":"Border terrier","183":"Kerry blue terrier","184":"Irish terrier","185":"Norfolk terrier","186":"Norwich terrier","187":"Yorkshire terrier","188":"wire-haired fox terrier","189":"Lakeland terrier","190":"Sealyham terrier, Sealyham","191":"Airedale, Airedale terrier","192":"cairn, cairn terrier","193":"Australian terrier","194":"Dandie Dinmont, Dandie Dinmont terrier","195":"Boston bull, Boston terrier","196":"miniature schnauzer","197":"giant schnauzer","198":"standard schnauzer","199":"Scotch terrier, Scottish terrier, Scottie","200":"Tibetan terrier, chrysanthemum dog","201":"silky terrier, Sydney silky","202":"soft-coated wheaten terrier","203":"West Highland white terrier","204":"Lhasa, Lhasa apso","205":"flat-coated retriever","206":"curly-coated retriever","207":"golden retriever","208":"Labrador retriever","209":"Chesapeake Bay retriever","210":"German short-haired pointer","211":"vizsla, Hungarian pointer","212":"English setter","213":"Irish setter, red setter","214":"Gordon setter","215":"Brittany spaniel","216":"clumber, clumber spaniel","217":"English springer, English springer spaniel","218":"Welsh springer spaniel","219":"cocker spaniel, English cocker spaniel, cocker","220":"Sussex spaniel","221":"Irish water spaniel","222":"kuvasz","223":"schipperke","224":"groenendael","225":"malinois","226":"briard","227":"kelpie","228":"komondor","229":"Old English sheepdog, bobtail","230":"Shetland sheepdog, Shetland sheep dog, Shetland","231":"collie","232":"Border collie","233":"Bouvier des Flandres, Bouviers des Flandres","234":"Rottweiler","235":"German shepherd, German shepherd dog, German police dog, alsatian","236":"Doberman, Doberman pinscher","237":"miniature pinscher","238":"Greater Swiss Mountain dog","239":"Bernese mountain dog","240":"Appenzeller","241":"EntleBucher","242":"boxer","243":"bull mastiff","244":"Tibetan mastiff","245":"French bulldog","246":"Great Dane","247":"Saint Bernard, St Bernard","248":"Eskimo dog, husky","249":"malamute, malemute, Alaskan malamute","250":"Siberian husky","251":"dalmatian, coach dog, carriage dog","252":"affenpinscher, monkey pinscher, monkey dog","253":"basenji","254":"pug, pug-dog","255":"Leonberg","256":"Newfoundland, Newfoundland dog","257":"Great Pyrenees","258":"Samoyed, Samoyede","259":"Pomeranian","260":"chow, chow chow","261":"keeshond","262":"Brabancon griffon","263":"Pembroke, Pembroke Welsh corgi","264":"Cardigan, Cardigan Welsh corgi","265":"toy poodle","266":"miniature poodle","267":"standard 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hub_id: minhthong/intraday_buysell_signal
license: []
language: []
config_name: default
column_names:
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hub_id: saifhmb/social-network-ads
license: []
language: []
config_name: default
column_names: ["Age","EstimatedSalary","Purchased"]
features:
[{"name":"Age","dtype":"int64"},{"name":"EstimatedSalary","dtype":"int64"},{"name":"Purchased","dtype":"int64"}]


hub_id: mamamiya405/finred2
license: []
language: []
config_name: default
column_names: ["input","output","instruction","inference","text"]
features:
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hub_id: henilp105/InstructIR
license: ["mit"]
language: ["en"]
config_name: queries
column_names: ["_id","text"]
features: [{"name":"_id","dtype":"string"},{"name":"text","dtype":"string"}]
tags:
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hub_id: the-french-artist/repetitive_sums_benchmark_20_models_results
license: ["apache-2.0"]
language: []
config_name: default
column_names:
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features:
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hub_id: the-french-artist/repetitive_sums_benchmark_leaderboard
license: ["apache-2.0"]
language: []
config_name: default
column_names:
["model_name","avg_accuracy","error_mean","error_median","error_std","error_min","error_max","parsing_failure_count"]

features:
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hub_id: Isuru0x01/tensorflow-issues
license: []
language: []
config_name: default
features:
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hub_id: malteos/translation_test2
license: []
language: []
config_name: default
column_names:
["source","prompt","chosen","chosen-rating","chosen-model","rejected","rejected-rating","rejected-model","translated_prompt","translated_chosen","translated_rejected"]

features:
[{"name":"source","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"chosen-rating","dtype":"float64"},{"name":"chosen-model","dtype":"string"},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected-rating","dtype":"float64"},{"name":"rejected-model","dtype":"string"},{"name":"translated_prompt","dtype":"string"},{"name":"translated_chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"translated_rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: PKU-Alignment/ProgressGym-MoralEvals
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: []
features: []
tags:
["task_categories:question-answering","source_datasets:ninoscherrer/moralchoice","source_datasets:Moral Foundations Questionnaire","source_datasets:Integrated Worldview Framework","language:en","license:cc-by-4.0","size_categories:1K<n<10K","image","region:us"]


hub_id: AutoLab-Westlake/BioKGBench-Dataset
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["kgcheck","kgqa","scv","bioKG"]
tags:
["task_categories:question-answering","task_categories:text-retrieval","task_categories:other","task_ids:fact-checking","task_ids:closed-domain-qa","task_ids:fact-checking-retrieval","annotations_creators:expert-generated","annotations_creators:machine-generated","language:en","license:mit","size_categories:n<1K","text","region:us","agent","medical"]

features:
[{"name":"kgcheck","dtype":"string"},{"name":"kgqa","dtype":"string"},{"name":"scv","dtype":"string"},{"name":"bioKG","dtype":"string"}]


hub_id: Manu1507/cnn_dailymail-llama2-1k
license: []
language: []
config_name: default
column_names: ["article","highlights","id","text"]
features:
[{"name":"article","dtype":"string"},{"name":"highlights","dtype":"string"},{"name":"id","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: youdahua/navcon_image
license: ["mit"]
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"1","2":"10","3":"11","4":"12","5":"13","6":"14","7":"15","8":"16","9":"17","10":"18","11":"19","12":"2","13":"20","14":"3","15":"4","16":"5","17":"6","18":"7","19":"8","20":"9"}}}}]


hub_id: nuprl-staging/VLM-Glyph
license: []
language: []
config_name: default
column_names: ["file_name","prompt","answer","images"]
features:
[{"name":"file_name","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"images","dtype":"image"}]


hub_id: vidore/syntheticDocQA_energy_test_tesseract
license: []
language: []
config_name: default
column_names: ["image","image_filename","query","text_description"]
features:
[{"name":"image","dtype":"image"},{"name":"image_filename","dtype":"string"},{"name":"query","dtype":"string"},{"name":"text_description","dtype":"string"}]


hub_id: shipWr3ck/narrativeqa_cleaned
license: []
language: []
config_name: default
column_names: ["id","context","qa"]
features:
[{"name":"id","dtype":"string"},{"name":"context","dtype":"string"},{"name":"qa","list":[{"name":"answers","sequence":"string"},{"name":"question","dtype":"string"}]}]


hub_id: saifhmb/CreditCardRisk
license: []
language: []
config_name: default
column_names:
["ID","AGE","INCOME","GENDER","MARITAL","NUMKIDS","NUMCARDS","HOWPAID","MORTGAGE","STORECAR","LOANS","RISK"]

features:
[{"name":"ID","dtype":"int64"},{"name":"AGE","dtype":"int64"},{"name":"INCOME","dtype":"int64"},{"name":"GENDER","dtype":"string"},{"name":"MARITAL","dtype":"string"},{"name":"NUMKIDS","dtype":"int64"},{"name":"NUMCARDS","dtype":"int64"},{"name":"HOWPAID","dtype":"string"},{"name":"MORTGAGE","dtype":"string"},{"name":"STORECAR","dtype":"int64"},{"name":"LOANS","dtype":"int64"},{"name":"RISK","dtype":"string"}]


hub_id: JonathanGarza/legal-mx-instruction-dataset-0-6-inst-ft-prompts
license: []
language: []
config_name: default
column_names: ["instruction","output","context","text"]
features:
[{"name":"instruction","dtype":"string"},{"name":"output","dtype":"string"},{"name":"context","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: Sovenok-Hacker/zigcode-1000
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["text","url"]
features: [{"name":"text","dtype":"string"},{"name":"url","dtype":"string"}]
tags:
["task_categories:text-generation","language:en","license:apache-2.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","code","croissant"]


hub_id: ImageEditing/IP2P_new1
license: []
language: []
config_name: default
column_names: ["original_image","edit_prompt","edited_image_1","edited_image_2","edited_image_3"]
features:
[{"name":"original_image","dtype":"image"},{"name":"edit_prompt","dtype":"string"},{"name":"edited_image_1","dtype":"image"},{"name":"edited_image_2","dtype":"image"},{"name":"edited_image_3","dtype":"image"}]


hub_id: Altterra/personalization-state-mini-experiment
license: ["apache-2.0"]
language: ["ru"]
config_name: default
column_names: ["personalization_state","output"]
features: [{"name":"personalization_state","dtype":"string"},{"name":"output","dtype":"string"}]
tags:
["task_categories:text-generation","language:ru","license:apache-2.0","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: kenhktsui/edu-value-annotation-difference-hf-edu-score-le2-tbq-v2-score-ge1
license: []
language: []
config_name: default
column_names:
["text","hf_score","fasttext_score_v2","dolma_score","v2_prompt","hf_prompt","reprompted_hf_score","reprompted_v2_score"]

features:
[{"name":"text","dtype":"string"},{"name":"hf_score","dtype":"int64"},{"name":"fasttext_score_v2","dtype":"float64"},{"name":"dolma_score","dtype":"float64"},{"name":"v2_prompt","dtype":"string"},{"name":"hf_prompt","dtype":"string"},{"name":"reprompted_hf_score","dtype":"int64"},{"name":"reprompted_v2_score","dtype":"string"}]


hub_id: namkoong-lab/PersonalLLM
license: []
language: []
config_name: default
tags:
["size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","doi:10.57967/hf/2509","region:us","croissant"]

column_names:
["prompt","subset","prompt_id","response_1","response_1_model","response_2","response_2_model","response_3","response_3_model","response_4","response_4_model","response_5","response_5_model","response_6","response_6_model","response_7","response_7_model","response_8","response_8_model","response_1_gemma_2b","response_2_gemma_2b","response_3_gemma_2b","response_4_gemma_2b","response_5_gemma_2b","response_6_gemma_2b","response_7_gemma_2b","response_8_gemma_2b","response_1_gemma_7b","response_2_gemma_7b","response_3_gemma_7b","response_4_gemma_7b","response_5_gemma_7b","response_6_gemma_7b","response_7_gemma_7b","response_8_gemma_7b","response_1_mistral_raft","response_2_mistral_raft","response_3_mistral_raft","response_4_mistral_raft","response_5_mistral_raft","response_6_mistral_raft","response_7_mistral_raft","response_8_mistral_raft","response_1_mistral_ray","response_2_mistral_ray","response_3_mistral_ray","response_4_mistral_ray","response_5_mistral_ray","response_6_mistral_ray","response_7_mistral_ray","response_8_mistral_ray","response_1_mistral_weqweasdas","response_2_mistral_weqweasdas","response_3_mistral_weqweasdas","response_4_mistral_weqweasdas","response_5_mistral_weqweasdas","response_6_mistral_weqweasdas","response_7_mistral_weqweasdas","response_8_mistral_weqweasdas","response_1_llama3_sfairx","response_2_llama3_sfairx","response_3_llama3_sfairx","response_4_llama3_sfairx","response_5_llama3_sfairx","response_6_llama3_sfairx","response_7_llama3_sfairx","response_8_llama3_sfairx","response_1_oasst_deberta_v3","response_2_oasst_deberta_v3","response_3_oasst_deberta_v3","response_4_oasst_deberta_v3","response_5_oasst_deberta_v3","response_6_oasst_deberta_v3","response_7_oasst_deberta_v3","response_8_oasst_deberta_v3","response_1_beaver_7b","response_2_beaver_7b","response_3_beaver_7b","response_4_beaver_7b","response_5_beaver_7b","response_6_beaver_7b","response_7_beaver_7b","response_8_beaver_7b","response_1_oasst_pythia_7b","response_2_oasst_pythia_7b","response_3_oasst_pythia_7b","response_4_oasst_pythia_7b","response_5_oasst_pythia_7b","response_6_oasst_pythia_7b","response_7_oasst_pythia_7b","response_8_oasst_pythia_7b","response_1_oasst_pythia_1b","response_2_oasst_pythia_1b","response_3_oasst_pythia_1b","response_4_oasst_pythia_1b","response_5_oasst_pythia_1b","response_6_oasst_pythia_1b","response_7_oasst_pythia_1b","response_8_oasst_pythia_1b","id"]

features:
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hub_id: Priyansh4320/sales-conversation-dataset-via-autogen-better
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["complete_conversation","salesman_dialoughes","customer_dialouges","sales_product"]
features:
[{"name":"complete_conversation","sequence":"string"},{"name":"salesman_dialoughes","sequence":"string"},{"name":"customer_dialouges","sequence":"string"},{"name":"sales_product","dtype":"string"}]


hub_id: raftrsf/sfr_concise_iter4_k32_with_rewards
license: []
language: []
config_name: default
column_names: ["responses","prompt","rewards"]
features:
[{"name":"responses","sequence":"string"},{"name":"prompt","dtype":"string"},{"name":"rewards","sequence":"float64"}]


hub_id: Nano1337/scores-natural-agreed
license: []
language: []
config_name: default
column_names:
["uid","image","caption","CLIPscore","VQAscore","CLIPscore_percentile","VQAscore_percentile","percentile_difference"]

features:
[{"name":"uid","dtype":"string"},{"name":"image","dtype":"image"},{"name":"caption","dtype":"string"},{"name":"CLIPscore","dtype":"float64"},{"name":"VQAscore","dtype":"float64"},{"name":"CLIPscore_percentile","dtype":"float64"},{"name":"VQAscore_percentile","dtype":"float64"},{"name":"percentile_difference","dtype":"float64"}]


hub_id: LanguageShades/BiasShadesBaseEval
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["index","subset","bias_type","stereotype_origin_langs","stereotype_valid_langs","stereotype_valid_regions","stereotyped_group","ar_biased_sentence","ar_biased_template","ar_is_expression","ar_comments","ar_tokens_bigscience_bloom-7b1","ar_logprob_bigscience_bloom-7b1","bn_biased_sentence","bn_biased_template","bn_is_expression","bn_comments","bn_tokens_bigscience_bloom-7b1","bn_logprob_bigscience_bloom-7b1","pt_br_biased_sentence","pt_br_biased_template","pt_br_is_expression","pt_br_comments","pt_br_tokens_bigscience_bloom-7b1","pt_br_logprob_bigscience_bloom-7b1","zh_biased_sentence","zh_biased_template","zh_is_expression","zh_comments","zh_tokens_bigscience_bloom-7b1","zh_logprob_bigscience_bloom-7b1","zh_hant_biased_sentence","zh_hant_biased_template","zh_hant_is_expression","zh_hant_comments","zh_hant_tokens_bigscience_bloom-7b1","zh_hant_logprob_bigscience_bloom-7b1","nl_biased_sentence","nl_biased_template","nl_is_expression","nl_comments","nl_tokens_bigscience_bloom-7b1","nl_logprob_bigscience_bloom-7b1","en_biased_sentence","en_biased_template","en_is_expression","en_comments","en_tokens_bigscience_bloom-7b1","en_logprob_bigscience_bloom-7b1","fr_biased_sentence","fr_biased_template","fr_is_expression","fr_comments","fr_tokens_bigscience_bloom-7b1","fr_logprob_bigscience_bloom-7b1","de_biased_sentence","de_biased_template","de_is_expression","de_comments","de_tokens_bigscience_bloom-7b1","de_logprob_bigscience_bloom-7b1","hi_biased_sentence","hi_biased_template","hi_is_expression","hi_comments","hi_tokens_bigscience_bloom-7b1","hi_logprob_bigscience_bloom-7b1","it_biased_sentence","it_biased_template","it_is_expression","it_comments","it_tokens_bigscience_bloom-7b1","it_logprob_bigscience_bloom-7b1","mr_biased_sentence","mr_biased_template","mr_is_expression","mr_comments","mr_tokens_bigscience_bloom-7b1","mr_logprob_bigscience_bloom-7b1","pl_biased_sentence","pl_biased_template","pl_is_expression","pl_comments","pl_tokens_bigscience_bloom-7b1","pl_logprob_bigscience_bloom-7b1","ro_biased_sentence","ro_biased_template","ro_is_expression","ro_comments","ro_tokens_bigscience_bloom-7b1","ro_logprob_bigscience_bloom-7b1","ru_biased_sentence","ru_biased_template","ru_is_expression","ru_comments","ru_tokens_bigscience_bloom-7b1","ru_logprob_bigscience_bloom-7b1","es_biased_sentence","es_biased_template","es_is_expression","es_comments","es_tokens_bigscience_bloom-7b1","es_logprob_bigscience_bloom-7b1"]

features:
[{"name":"index","dtype":"float64"},{"name":"subset","dtype":"string"},{"name":"bias_type","dtype":"string"},{"name":"stereotype_origin_langs","sequence":"string"},{"name":"stereotype_valid_langs","sequence":"string"},{"name":"stereotype_valid_regions","sequence":"string"},{"name":"stereotyped_group","dtype":"string"},{"name":"ar_biased_sentence","dtype":"string"},{"name":"ar_biased_template","dtype":"null"},{"name":"ar_is_expression","dtype":"string"},{"name":"ar_comments","dtype":"string"},{"name":"ar_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"ar_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"bn_biased_sentence","dtype":"string"},{"name":"bn_biased_template","dtype":"null"},{"name":"bn_is_expression","dtype":"string"},{"name":"bn_comments","dtype":"null"},{"name":"bn_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"bn_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"pt_br_biased_sentence","dtype":"string"},{"name":"pt_br_biased_template","dtype":"string"},{"name":"pt_br_is_expression","dtype":"string"},{"name":"pt_br_comments","dtype":"string"},{"name":"pt_br_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"pt_br_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"zh_biased_sentence","dtype":"string"},{"name":"zh_biased_template","dtype":"null"},{"name":"zh_is_expression","dtype":"string"},{"name":"zh_comments","dtype":"string"},{"name":"zh_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"zh_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"zh_hant_biased_sentence","dtype":"string"},{"name":"zh_hant_biased_template","dtype":"null"},{"name":"zh_hant_is_expression","dtype":"string"},{"name":"zh_hant_comments","dtype":"string"},{"name":"zh_hant_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"zh_hant_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"nl_biased_sentence","dtype":"string"},{"name":"nl_biased_template","dtype":"string"},{"name":"nl_is_expression","dtype":"string"},{"name":"nl_comments","dtype":"string"},{"name":"nl_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"nl_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"en_biased_sentence","dtype":"string"},{"name":"en_biased_template","dtype":"string"},{"name":"en_is_expression","dtype":"string"},{"name":"en_comments","dtype":"string"},{"name":"en_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"en_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"fr_biased_sentence","dtype":"string"},{"name":"fr_biased_template","dtype":"string"},{"name":"fr_is_expression","dtype":"null"},{"name":"fr_comments","dtype":"string"},{"name":"fr_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"fr_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"de_biased_sentence","dtype":"string"},{"name":"de_biased_template","dtype":"string"},{"name":"de_is_expression","dtype":"string"},{"name":"de_comments","dtype":"string"},{"name":"de_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"de_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"hi_biased_sentence","dtype":"string"},{"name":"hi_biased_template","dtype":"string"},{"name":"hi_is_expression","dtype":"string"},{"name":"hi_comments","dtype":"string"},{"name":"hi_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"hi_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"it_biased_sentence","dtype":"string"},{"name":"it_biased_template","dtype":"string"},{"name":"it_is_expression","dtype":"null"},{"name":"it_comments","dtype":"null"},{"name":"it_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"it_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"mr_biased_sentence","dtype":"string"},{"name":"mr_biased_template","dtype":"string"},{"name":"mr_is_expression","dtype":"null"},{"name":"mr_comments","dtype":"null"},{"name":"mr_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"mr_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"pl_biased_sentence","dtype":"string"},{"name":"pl_biased_template","dtype":"string"},{"name":"pl_is_expression","dtype":"string"},{"name":"pl_comments","dtype":"null"},{"name":"pl_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"pl_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"ro_biased_sentence","dtype":"string"},{"name":"ro_biased_template","dtype":"string"},{"name":"ro_is_expression","dtype":"null"},{"name":"ro_comments","dtype":"string"},{"name":"ro_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"ro_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"ru_biased_sentence","dtype":"string"},{"name":"ru_biased_template","dtype":"string"},{"name":"ru_is_expression","dtype":"string"},{"name":"ru_comments","dtype":"string"},{"name":"ru_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"ru_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"es_biased_sentence","dtype":"string"},{"name":"es_biased_template","dtype":"string"},{"name":"es_is_expression","dtype":"null"},{"name":"es_comments","dtype":"string"},{"name":"es_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"es_logprob_bigscience_bloom-7b1","sequence":"float64"}]


hub_id: stylebreeder/stylebreeder
license: ["cc0-1.0"]
language: ["en"]
config_name: default
tags:
["task_categories:text-to-image","task_categories:image-to-text","task_ids:image-captioning","annotations_creators:no-annotation","language_creators:found","multilinguality:multilingual","source_datasets:original","language:en","license:cc0-1.0","size_categories:1M<n<10M","parquet","image","text","datasets","dask","mlcroissant","arxiv:2406.14599","region:us","stable diffusion","prompt engineering","prompts","research paper","croissant"]

column_names:
["image_id","image_key","prompt","creator_id","created_at","modelName","toxicity","severe_toxicity","obscene","identity_attack","insult","threat","sexual_explicit","image_nsfw","cluster_id","artists","image"]

features:
[{"name":"image_id","dtype":"int64"},{"name":"image_key","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"creator_id","dtype":"int64"},{"name":"created_at","dtype":"timestamp[s]"},{"name":"modelName","dtype":"string"},{"name":"toxicity","dtype":"float64"},{"name":"severe_toxicity","dtype":"float64"},{"name":"obscene","dtype":"float64"},{"name":"identity_attack","dtype":"float64"},{"name":"insult","dtype":"float64"},{"name":"threat","dtype":"float64"},{"name":"sexual_explicit","dtype":"float64"},{"name":"image_nsfw","dtype":"float64"},{"name":"cluster_id","dtype":"int64"},{"name":"artists","dtype":"string"},{"name":"image","dtype":"image"}]


hub_id: LanguageShades/BiasShadesBaseEvalDebug
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["index","subset","bias_type","stereotype_origin_langs","stereotype_valid_langs","stereotype_valid_regions","stereotyped_group","ar_biased_sentence","ar_biased_template","ar_is_expression","ar_comments","ar_tokens_bigscience_bloom-7b1","ar_logprob_bigscience_bloom-7b1","bn_biased_sentence","bn_biased_template","bn_is_expression","bn_comments","bn_tokens_bigscience_bloom-7b1","bn_logprob_bigscience_bloom-7b1","pt_br_biased_sentence","pt_br_biased_template","pt_br_is_expression","pt_br_comments","pt_br_tokens_bigscience_bloom-7b1","pt_br_logprob_bigscience_bloom-7b1","zh_biased_sentence","zh_biased_template","zh_is_expression","zh_comments","zh_tokens_bigscience_bloom-7b1","zh_logprob_bigscience_bloom-7b1","zh_hant_biased_sentence","zh_hant_biased_template","zh_hant_is_expression","zh_hant_comments","zh_hant_tokens_bigscience_bloom-7b1","zh_hant_logprob_bigscience_bloom-7b1","nl_biased_sentence","nl_biased_template","nl_is_expression","nl_comments","nl_tokens_bigscience_bloom-7b1","nl_logprob_bigscience_bloom-7b1","en_biased_sentence","en_biased_template","en_is_expression","en_comments","en_tokens_bigscience_bloom-7b1","en_logprob_bigscience_bloom-7b1","fr_biased_sentence","fr_biased_template","fr_is_expression","fr_comments","fr_tokens_bigscience_bloom-7b1","fr_logprob_bigscience_bloom-7b1","de_biased_sentence","de_biased_template","de_is_expression","de_comments","de_tokens_bigscience_bloom-7b1","de_logprob_bigscience_bloom-7b1","hi_biased_sentence","hi_biased_template","hi_is_expression","hi_comments","hi_tokens_bigscience_bloom-7b1","hi_logprob_bigscience_bloom-7b1","it_biased_sentence","it_biased_template","it_is_expression","it_comments","it_tokens_bigscience_bloom-7b1","it_logprob_bigscience_bloom-7b1","mr_biased_sentence","mr_biased_template","mr_is_expression","mr_comments","mr_tokens_bigscience_bloom-7b1","mr_logprob_bigscience_bloom-7b1","pl_biased_sentence","pl_biased_template","pl_is_expression","pl_comments","pl_tokens_bigscience_bloom-7b1","pl_logprob_bigscience_bloom-7b1","ro_biased_sentence","ro_biased_template","ro_is_expression","ro_comments","ro_tokens_bigscience_bloom-7b1","ro_logprob_bigscience_bloom-7b1","ru_biased_sentence","ru_biased_template","ru_is_expression","ru_comments","ru_tokens_bigscience_bloom-7b1","ru_logprob_bigscience_bloom-7b1","es_biased_sentence","es_biased_template","es_is_expression","es_comments","es_tokens_bigscience_bloom-7b1","es_logprob_bigscience_bloom-7b1"]

features:
[{"name":"index","dtype":"float64"},{"name":"subset","dtype":"string"},{"name":"bias_type","dtype":"string"},{"name":"stereotype_origin_langs","sequence":"string"},{"name":"stereotype_valid_langs","sequence":"string"},{"name":"stereotype_valid_regions","sequence":"string"},{"name":"stereotyped_group","dtype":"string"},{"name":"ar_biased_sentence","dtype":"string"},{"name":"ar_biased_template","dtype":"null"},{"name":"ar_is_expression","dtype":"null"},{"name":"ar_comments","dtype":"string"},{"name":"ar_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"ar_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"bn_biased_sentence","dtype":"string"},{"name":"bn_biased_template","dtype":"null"},{"name":"bn_is_expression","dtype":"string"},{"name":"bn_comments","dtype":"null"},{"name":"bn_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"bn_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"pt_br_biased_sentence","dtype":"string"},{"name":"pt_br_biased_template","dtype":"string"},{"name":"pt_br_is_expression","dtype":"string"},{"name":"pt_br_comments","dtype":"string"},{"name":"pt_br_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"pt_br_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"zh_biased_sentence","dtype":"string"},{"name":"zh_biased_template","dtype":"null"},{"name":"zh_is_expression","dtype":"string"},{"name":"zh_comments","dtype":"string"},{"name":"zh_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"zh_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"zh_hant_biased_sentence","dtype":"string"},{"name":"zh_hant_biased_template","dtype":"null"},{"name":"zh_hant_is_expression","dtype":"string"},{"name":"zh_hant_comments","dtype":"string"},{"name":"zh_hant_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"zh_hant_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"nl_biased_sentence","dtype":"string"},{"name":"nl_biased_template","dtype":"string"},{"name":"nl_is_expression","dtype":"string"},{"name":"nl_comments","dtype":"string"},{"name":"nl_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"nl_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"en_biased_sentence","dtype":"string"},{"name":"en_biased_template","dtype":"string"},{"name":"en_is_expression","dtype":"string"},{"name":"en_comments","dtype":"string"},{"name":"en_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"en_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"fr_biased_sentence","dtype":"string"},{"name":"fr_biased_template","dtype":"string"},{"name":"fr_is_expression","dtype":"null"},{"name":"fr_comments","dtype":"string"},{"name":"fr_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"fr_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"de_biased_sentence","dtype":"string"},{"name":"de_biased_template","dtype":"string"},{"name":"de_is_expression","dtype":"null"},{"name":"de_comments","dtype":"null"},{"name":"de_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"de_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"hi_biased_sentence","dtype":"string"},{"name":"hi_biased_template","dtype":"string"},{"name":"hi_is_expression","dtype":"null"},{"name":"hi_comments","dtype":"string"},{"name":"hi_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"hi_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"it_biased_sentence","dtype":"string"},{"name":"it_biased_template","dtype":"string"},{"name":"it_is_expression","dtype":"null"},{"name":"it_comments","dtype":"null"},{"name":"it_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"it_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"mr_biased_sentence","dtype":"string"},{"name":"mr_biased_template","dtype":"string"},{"name":"mr_is_expression","dtype":"null"},{"name":"mr_comments","dtype":"null"},{"name":"mr_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"mr_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"pl_biased_sentence","dtype":"string"},{"name":"pl_biased_template","dtype":"string"},{"name":"pl_is_expression","dtype":"null"},{"name":"pl_comments","dtype":"null"},{"name":"pl_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"pl_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"ro_biased_sentence","dtype":"string"},{"name":"ro_biased_template","dtype":"string"},{"name":"ro_is_expression","dtype":"null"},{"name":"ro_comments","dtype":"string"},{"name":"ro_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"ro_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"ru_biased_sentence","dtype":"string"},{"name":"ru_biased_template","dtype":"string"},{"name":"ru_is_expression","dtype":"null"},{"name":"ru_comments","dtype":"string"},{"name":"ru_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"ru_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"es_biased_sentence","dtype":"string"},{"name":"es_biased_template","dtype":"string"},{"name":"es_is_expression","dtype":"null"},{"name":"es_comments","dtype":"string"},{"name":"es_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"es_logprob_bigscience_bloom-7b1","sequence":"float64"}]


hub_id: maomlab/AggregatorAdvisor
license: ["mit"]
language: ["en"]
config_name: AggregatorAdvisor
column_names: ["new SMILES","substance_id","aggref_index","logP","reference"]
tags:
["language:en","license:mit","size_categories:10K<n<100K","csv","tabular","text","datasets","pandas","mlcroissant","region:us","chemistry","medicinal chemistry","croissant"]

features:
[{"name":"new SMILES","dtype":"string"},{"name":"substance_id","dtype":"string"},{"name":"aggref_index","dtype":"int64"},{"name":"logP","dtype":"float64"},{"name":"reference","dtype":"string"}]


hub_id: UCSC-VLAA/Recap-COCO-30K
license: ["cc-by-4.0"]
language: []
config_name: default
column_names: ["image_id","coco_url","image","caption","recaption"]
tags:
["task_categories:text-to-image","license:cc-by-4.0","size_categories:1M<n<10M","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image_id","dtype":"int64"},{"name":"coco_url","dtype":"string"},{"name":"image","dtype":"Image"},{"name":"caption","dtype":"string"},{"name":"recaption","dtype":"string"}]


hub_id: worldboss/ewe_bible_v2_tts
license: ["apache-2.0"]
language: ["ee"]
config_name: default
column_names: ["file_ids","Audio","Transcript"]
tags:
["task_categories:automatic-speech-recognition","task_categories:text-to-speech","task_categories:text-to-audio","task_categories:translation","language:ee","license:apache-2.0","size_categories:1K<n<10K","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant","ewe","language"]

features:
[{"name":"file_ids","dtype":"string"},{"name":"Audio","dtype":"audio"},{"name":"Transcript","dtype":"string"}]


hub_id: worldboss/twi_bible_v2_tts
license: ["apache-2.0"]
language: ["tw","ak"]
config_name: default
column_names: ["file_ids","Audio","Transcript"]
tags:
["task_categories:automatic-speech-recognition","task_categories:text-to-speech","task_categories:text-to-audio","language:tw","language:ak","license:apache-2.0","size_categories:1K<n<10K","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"file_ids","dtype":"string"},{"name":"Audio","dtype":"audio"},{"name":"Transcript","dtype":"string"}]


hub_id: madhabpaul/assamese_tts_dataset
license: []
language: ["as"]
config_name: default
column_names: ["audio","transcription"]
features: [{"name":"audio","dtype":"audio"},{"name":"transcription","dtype":"string"}]
tags:
["language:as","size_categories:1K<n<10K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: sky1ove/Leash_03M
tags: ["size_categories:100K<n<1M","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","mask","label"]
features:
[{"name":"id","sequence":"int64"},{"name":"mask","sequence":"int64"},{"name":"label","sequence":"int8"}]


hub_id: Hack90/five_d
license: []
language: []
config_name: default
column_names: ["id","sequence","name","description","features","seq_length","tensors"]
features:
[{"name":"id","dtype":"string"},{"name":"sequence","dtype":"string"},{"name":"name","dtype":"string"},{"name":"description","dtype":"string"},{"name":"features","dtype":"int64"},{"name":"seq_length","dtype":"int64"},{"name":"tensors","sequence":{"sequence":{"sequence":"float32"}}}]


hub_id: BatsResearch/planetarium
license: ["cc-by-4.0"]
language: []
config_name: default
tags:
["license:cc-by-4.0","size_categories:100K<n<1M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["id","name","domain","init","goal","num_objects","problem_pddl","natural_language","init_is_abstract","init_num_propositions","goal_is_abstract","goal_num_propositions","is_placeholder","split"]

features:
[{"name":"id","dtype":"int64"},{"name":"name","dtype":"string"},{"name":"domain","dtype":"string"},{"name":"init","dtype":"string"},{"name":"goal","dtype":"string"},{"name":"num_objects","dtype":"int64"},{"name":"problem_pddl","dtype":"string"},{"name":"natural_language","dtype":"string"},{"name":"init_is_abstract","dtype":"int64"},{"name":"init_num_propositions","dtype":"int64"},{"name":"goal_is_abstract","dtype":"int64"},{"name":"goal_num_propositions","dtype":"int64"},{"name":"is_placeholder","dtype":"int64"},{"name":"split","dtype":"int64"}]


hub_id: roman-bushuiev/MassSpecGym
license: ["mit"]
language: []
config_name: main
column_names: []
features: []
tags:
["license:mit","size_categories:100K<n<1M","csv","tabular","text","datasets","pandas","mlcroissant","region:us","chemistry","croissant"]


hub_id: rntc/inst-pubmed-llama3
license: []
language: []
config_name: default
column_names: ["input","output","offset"]
features:
[{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"offset","dtype":"int64"}]


hub_id: PolarisEvals/llm_dataset_completness_2stage
license: []
language: []
config_name: default
column_names: ["id_query","id_response","query","response","score","justification","unit_test"]
features:
[{"name":"id_query","dtype":"int64"},{"name":"id_response","dtype":"int64"},{"name":"query","dtype":"string"},{"name":"response","dtype":"string"},{"name":"score","dtype":"float64"},{"name":"justification","dtype":"string"},{"name":"unit_test","dtype":"string"}]


hub_id: HC-85/flood-prediction
license: []
language: []
config_name: openfe
column_names:
["MonsoonIntensity","TopographyDrainage","RiverManagement","Deforestation","Urbanization","ClimateChange","DamsQuality","Siltation","AgriculturalPractices","Encroachments","IneffectiveDisasterPreparedness","DrainageSystems","CoastalVulnerability","Landslides","Watersheds","DeterioratingInfrastructure","PopulationScore","WetlandLoss","InadequatePlanning","PoliticalFactors","autoFE_f_0","autoFE_f_1","autoFE_f_2","autoFE_f_3","autoFE_f_4","autoFE_f_5","autoFE_f_6","autoFE_f_7","autoFE_f_8","autoFE_f_9","autoFE_f_10","autoFE_f_11","autoFE_f_12","autoFE_f_13","autoFE_f_14","autoFE_f_15","autoFE_f_16","autoFE_f_17","autoFE_f_18","autoFE_f_19","autoFE_f_20","autoFE_f_21","autoFE_f_22","autoFE_f_23","autoFE_f_24","autoFE_f_25","autoFE_f_26","autoFE_f_27","autoFE_f_28","autoFE_f_29","autoFE_f_30","autoFE_f_31","autoFE_f_32","autoFE_f_33","autoFE_f_34","autoFE_f_35","autoFE_f_36","autoFE_f_37","autoFE_f_38","autoFE_f_39","autoFE_f_40","autoFE_f_41","autoFE_f_42","autoFE_f_43","autoFE_f_44","autoFE_f_45","autoFE_f_46","autoFE_f_47","autoFE_f_48","autoFE_f_49","autoFE_f_50","autoFE_f_51","autoFE_f_52","autoFE_f_53","autoFE_f_54","autoFE_f_55","autoFE_f_56","autoFE_f_57","autoFE_f_58","autoFE_f_59","autoFE_f_60","autoFE_f_61","autoFE_f_62","autoFE_f_63","autoFE_f_64","autoFE_f_65","autoFE_f_66","autoFE_f_67","autoFE_f_68","autoFE_f_69","autoFE_f_70","autoFE_f_71","autoFE_f_72","autoFE_f_73","autoFE_f_74","autoFE_f_75","autoFE_f_76","autoFE_f_77","autoFE_f_78","autoFE_f_79","autoFE_f_80","autoFE_f_81","autoFE_f_82","autoFE_f_83","autoFE_f_84","autoFE_f_85","autoFE_f_86","autoFE_f_87","autoFE_f_88","autoFE_f_89","autoFE_f_90","autoFE_f_91","autoFE_f_92","autoFE_f_93","autoFE_f_94","autoFE_f_95","autoFE_f_96","autoFE_f_97","autoFE_f_98","autoFE_f_99","autoFE_f_100","autoFE_f_101","autoFE_f_102","autoFE_f_103","autoFE_f_104","autoFE_f_105","autoFE_f_106","autoFE_f_107","autoFE_f_108","autoFE_f_109","autoFE_f_110","autoFE_f_111","autoFE_f_112","autoFE_f_113","autoFE_f_114","autoFE_f_115","autoFE_f_116","autoFE_f_117","autoFE_f_118","autoFE_f_119","autoFE_f_120","autoFE_f_121","autoFE_f_122","autoFE_f_123","autoFE_f_124","autoFE_f_125","autoFE_f_126","autoFE_f_127","autoFE_f_128","autoFE_f_129","autoFE_f_130","autoFE_f_131","autoFE_f_132","autoFE_f_133","autoFE_f_134","autoFE_f_135","autoFE_f_136","autoFE_f_137","autoFE_f_138","autoFE_f_139","autoFE_f_140","autoFE_f_141","autoFE_f_142","autoFE_f_143","autoFE_f_144","autoFE_f_145","autoFE_f_146","autoFE_f_147","autoFE_f_148","autoFE_f_149","autoFE_f_150","autoFE_f_151","autoFE_f_152","autoFE_f_153","autoFE_f_154","autoFE_f_155","autoFE_f_156","autoFE_f_157","autoFE_f_158","autoFE_f_159","autoFE_f_160","autoFE_f_161","autoFE_f_162","autoFE_f_163","autoFE_f_164","autoFE_f_165","autoFE_f_166","autoFE_f_167","autoFE_f_168","autoFE_f_169","autoFE_f_170","autoFE_f_171","autoFE_f_172","autoFE_f_173","autoFE_f_174","autoFE_f_175","autoFE_f_176","autoFE_f_177","autoFE_f_178","autoFE_f_179","autoFE_f_180","autoFE_f_181","autoFE_f_182","autoFE_f_183","autoFE_f_184","autoFE_f_185","autoFE_f_186","autoFE_f_187","autoFE_f_188","autoFE_f_189","autoFE_f_190","autoFE_f_191","autoFE_f_192","autoFE_f_193","autoFE_f_194","autoFE_f_195","autoFE_f_196","autoFE_f_197","autoFE_f_198","autoFE_f_199","autoFE_f_200","autoFE_f_201","autoFE_f_202","autoFE_f_203","autoFE_f_204","autoFE_f_205","autoFE_f_206","autoFE_f_207","autoFE_f_208","autoFE_f_209","autoFE_f_210","autoFE_f_211","autoFE_f_212","autoFE_f_213","autoFE_f_214","autoFE_f_215","autoFE_f_216","autoFE_f_217","autoFE_f_218","autoFE_f_219","autoFE_f_220","autoFE_f_221","autoFE_f_222","autoFE_f_223","autoFE_f_224","autoFE_f_225","autoFE_f_226","autoFE_f_227","autoFE_f_228","autoFE_f_229","autoFE_f_230","autoFE_f_231","autoFE_f_232","autoFE_f_233","autoFE_f_234","autoFE_f_235","autoFE_f_236","autoFE_f_237","autoFE_f_238","autoFE_f_239","autoFE_f_240","autoFE_f_241","autoFE_f_242","autoFE_f_243","autoFE_f_244","autoFE_f_245","autoFE_f_246","autoFE_f_247","autoFE_f_248","autoFE_f_249","autoFE_f_250","autoFE_f_251","autoFE_f_252","autoFE_f_253","autoFE_f_254","autoFE_f_255","autoFE_f_256","autoFE_f_257","autoFE_f_258","autoFE_f_259","autoFE_f_260","autoFE_f_261","autoFE_f_262","autoFE_f_263","autoFE_f_264","autoFE_f_265","autoFE_f_266","autoFE_f_267","autoFE_f_268","autoFE_f_269","autoFE_f_270","autoFE_f_271","autoFE_f_272","autoFE_f_273","autoFE_f_274","autoFE_f_275","autoFE_f_276","autoFE_f_277","autoFE_f_278","autoFE_f_279","autoFE_f_280","autoFE_f_281","autoFE_f_282","autoFE_f_283","autoFE_f_284","autoFE_f_285","autoFE_f_286","autoFE_f_287","autoFE_f_288","autoFE_f_289","autoFE_f_290","autoFE_f_291","autoFE_f_292","autoFE_f_293","autoFE_f_294","autoFE_f_295","autoFE_f_296","autoFE_f_297","autoFE_f_298","autoFE_f_299","autoFE_f_300","autoFE_f_301","autoFE_f_302","autoFE_f_303","autoFE_f_304","autoFE_f_305","autoFE_f_306","autoFE_f_307","autoFE_f_308","autoFE_f_309","autoFE_f_310","autoFE_f_311","autoFE_f_312","autoFE_f_313","autoFE_f_314","autoFE_f_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features:
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hub_id: Alignment-Lab-AI/StampyAI-alignment-data
license: ["mit"]
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config_name: all
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hub_id: PolarisEvals/llm_dataset_completness_2stage_justification_score
license: []
language: []
config_name: default
column_names: ["query","response","score","justification","unit_test","input","output","system"]
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hub_id: lmg-anon/VNTL-Chat
license: []
language: []
config_name: default
column_names: ["japanese","english","messages"]
features:
[{"name":"japanese","dtype":"string"},{"name":"english","dtype":"string"},{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: sebdg/ontologies_train_dataset
license: []
language: []
config_name: default
column_names: ["instruction","input","output","ontology","model","__index_level_0__"]
features:
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hub_id: nauticaljack/ideficsjackson
license: ["mit"]
language: []
config_name: default
column_names: ["id","image","query","answer","__index_level_0__"]
features:
[{"name":"id","dtype":"string"},{"name":"image","dtype":"string"},{"name":"query","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: imirandam/TROHN-Text
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["image_id","caption","negative_caption"]
tags:
["language:en","license:mit","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","arxiv:2406.09952","region:us","croissant"]

features:
[{"name":"image_id","dtype":"string"},{"name":"caption","dtype":"string"},{"name":"negative_caption","dtype":"string"}]


hub_id: imirandam/TROHN-Img
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["image_id","caption","negative_caption","negative_image"]
tags:
["language:en","license:mit","size_categories:100K<n<1M","parquet","image","text","datasets","dask","mlcroissant","arxiv:2406.09952","region:us","croissant"]

features:
[{"name":"image_id","dtype":"string"},{"name":"caption","dtype":"string"},{"name":"negative_caption","dtype":"string"},{"name":"negative_image","dtype":"image"}]


hub_id: Ayushnangia/FUGseg
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["image","label","id","classes_on_image"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":"image"},{"name":"id","dtype":"string"},{"name":"classes_on_image","sequence":"int64"}]


hub_id: kreimanlab/HumorDB
license: ["cc-by-4.0"]
language: []
config_name: default
column_names: ["image","range_ratings_mean","comparison_ratings","binary_rating","words"]
tags:
["license:cc-by-4.0","size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"range_ratings_mean","dtype":"float64"},{"name":"comparison_ratings","struct":[{"name":"M319.jpg","dtype":"float64"},{"name":"M37.jpg","dtype":"float64"},{"name":"O1058.jpg","dtype":"float64"},{"name":"M637.jpg","dtype":"float64"},{"name":"O1709.jpg","dtype":"float64"},{"name":"O1360.jpg","dtype":"float64"},{"name":"O1748.jpg","dtype":"float64"},{"name":"O8.jpg","dtype":"float64"}]},{"name":"binary_rating","dtype":"int64"},{"name":"words","sequence":"string"}]


hub_id: alexshengzhili/0606_output_processed_final
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Unnamed: 0","input","output","instruction"]
features:
[{"name":"Unnamed: 0","dtype":"int64"},{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"instruction","dtype":"string"}]


hub_id: ServiceNow-AI/M2Lingual
license: ["cc-by-nc-sa-4.0"]
config_name: full_data
column_names: []
features: []
tags:
["language:zh","language:ne","language:uk","language:ja","language:zu","language:ku","language:ig","language:mg","language:fi","language:si","language:id","language:sw","language:ar","language:sv","language:ru","language:yo","language:en","language:ht","language:kn","language:ta","language:te","language:sq","language:mr","language:am","language:wo","language:it","language:tr","language:ha","language:pl","language:el","language:lt","language:ms","language:jv","language:sn","language:ml","language:ps","language:ky","language:es","language:ga","language:gu","language:ko","language:vi","language:sd","language:fa","language:nl","language:hu","language:so","language:pa","language:bn","language:pt","language:da","language:hi","language:eu","language:de","language:ur","language:su","language:xh","language:fr","license:cc-by-nc-sa-4.0","size_categories:100K<n<1M","parquet","image","tabular","text","datasets","pandas","mlcroissant","arxiv:2406.16783","region:us","croissant"]

language:
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hub_id: Fizzarolli/wattpad2_text
license: []
language: []
config_name: default
column_names:
["title","description","tags","chapter_names","chapter_contents","language","language_confidence","overall_nsfw_score","chapter_nsfw_scores","chapter_text"]

features:
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hub_id: CoIR-Retrieval/codefeedback-mt-queries-corpus
license: []
language: []
config_name: default
column_names: ["_id","partition","text","title"]
features:
[{"name":"_id","dtype":"string"},{"name":"partition","dtype":"string"},{"name":"text","dtype":"string"},{"name":"title","dtype":"string"}]


hub_id: ymoslem/EUbookshop-Speech-Irish
license: ["eupl-1.1"]
language: ["ga","en"]
config_name: default
column_names: ["audio","text_ga","text_en"]
tags:
["task_categories:automatic-speech-recognition","task_categories:text-to-speech","task_categories:translation","language:ga","language:en","license:eupl-1.1","size_categories:10K<n<100K","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"audio","dtype":"audio"},{"name":"text_ga","dtype":"string"},{"name":"text_en","dtype":"string"}]


hub_id: siacus/cap_pe
license: []
language: []
config_name: default
column_names: ["text","idCoding","idOrig","macro","macroCode","plaintext"]
features:
[{"name":"text","dtype":"string"},{"name":"idCoding","dtype":"int64"},{"name":"idOrig","dtype":"string"},{"name":"macro","dtype":"string"},{"name":"macroCode","dtype":"int64"},{"name":"plaintext","dtype":"string"}]


hub_id: Wasue/presidential_debates
license: []
language: []
config_name: default
column_names: ["speaker","category","text","next_speaker","next_category","next_text"]
features:
[{"name":"speaker","dtype":"string"},{"name":"category","dtype":"string"},{"name":"text","dtype":"string"},{"name":"next_speaker","dtype":"string"},{"name":"next_category","dtype":"string"},{"name":"next_text","dtype":"string"}]


hub_id: codingninja/punjabi_filtered_asr_dataset_v2
license: []
language: []
config_name: default
column_names: ["text","audio","duration"]
features:
[{"name":"text","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"duration","dtype":"float64"}]


hub_id: growth-cadet/Newmod_signals-deparment_split-newv1v2v3-4k
license: []
language: []
config_name: default
column_names:
["prompt","context","answer","department","mod_dep_raw","gpt-4-turbo_cost","mod_dep_obj","mod_answer","mod_inferred_raw","gpt-3.5-turbo_cost","mod_rep_raw","mod_p&t_mod_answer_raw","new_p&t_answer","prompt_pt"]

features:
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hub_id: Anonymous-2024/ooc-mfc-bench
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["caption","image_path","image_id","id","Matched"]
features:
[{"name":"caption","dtype":"string"},{"name":"image_path","dtype":"string"},{"name":"image_id","dtype":"int64"},{"name":"id","dtype":"int64"},{"name":"Matched","dtype":"bool"}]


hub_id: Anonymous-2024/veracity-mfc-bench
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["image_path","RELEVANCY","TOPIC","DOCUMENT#","evidence_id","claim"]
features:
[{"name":"image_path","dtype":"string"},{"name":"RELEVANCY","dtype":"int64"},{"name":"TOPIC","dtype":"int64"},{"name":"DOCUMENT#","dtype":"string"},{"name":"evidence_id","dtype":"string"},{"name":"claim","dtype":"string"}]


hub_id: Anonymous-2024/manipulation-mfc-bench
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["caption","manipulate","manipulation type","id","image_path"]
features:
[{"name":"caption","dtype":"string"},{"name":"manipulate","dtype":"int64"},{"name":"manipulation type","dtype":"string"},{"name":"id","dtype":"string"},{"name":"image_path","dtype":"string"}]


hub_id: lodestones/Recap-DataComp-1B
license: ["cc-by-4.0"]
language: []
config_name: default
tags:
["task_categories:zero-shot-classification","task_categories:text-retrieval","task_categories:image-to-text","task_categories:text-to-image","license:cc-by-4.0","arxiv:2406.08478","region:us"]

column_names:
["url","re_caption","org_caption","sha256","key","re_clip_score","org_clip_score","re_length","org_length","re_gpt4v_score","org_gpt4v_score"]

features:
[{"name":"url","dtype":"string"},{"name":"re_caption","dtype":"string"},{"name":"org_caption","dtype":"string"},{"name":"sha256","dtype":"string"},{"name":"key","dtype":"string"},{"name":"re_clip_score","dtype":"float64"},{"name":"org_clip_score","dtype":"float64"},{"name":"re_length","dtype":"int64"},{"name":"org_length","dtype":"int64"},{"name":"re_gpt4v_score","dtype":"int64"},{"name":"org_gpt4v_score","dtype":"int64"}]


hub_id: VLMaug/VLMaug
license: ["cc-by-nc-sa-4.0"]
language: ["en"]
config_name: default
column_names: ["question_id","source","img_1_data","img_2_data","question","answer"]
tags:
["language:en","license:cc-by-nc-sa-4.0","size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"question_id","dtype":"string"},{"name":"source","dtype":"string"},{"name":"img_1_data","dtype":"image"},{"name":"img_2_data","dtype":"image"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"}]


hub_id: minhthong/flashdeal_data_ACB_historical_signal
license: []
language: []
config_name: default
column_names:
["time","Buy","BottomFishing","Sell","Short","Cover","Sideway","MA10","MA30","MA50","MA15V","RSI14","T\u00edn hi\u1ec7u","__index_level_0__"]

features:
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hub_id: growth-cadet/Newmod_signals-deparment_split-newv1v2v3-2k
license: []
language: []
config_name: default
column_names:
["ats","context","sys5_obj","eval_crit","eval_values","uuid","mod_sys5_obj","gpt-3.5-turbo_cost","prompt","raw_output","deparment_obj","gpt-4-turbo_cost","sysdep_obj","prompt_dep","raw_output_inf_dep","mod_sysdep_obj","mod_mod_sysdep_obj_raw","department","mod_dep_raw","mod_answer","mod_p&t_mod_answer_raw","mod_p&t_mod_answer_full"]

features:
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hub_id: PatronusAI/drop-test-200-samples
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["messages","LABEL","_id"]
features:
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hub_id: allenpoe/atco2_test_dictation_by_whisper_finetuned
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["file","whisper_text","correct_text"]
features:
[{"name":"file","dtype":"string"},{"name":"whisper_text","dtype":"string"},{"name":"correct_text","dtype":"string"}]


hub_id: sunitha-ravi/drop-new-prompt-perturb
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["_id","generated_text","score","reasoning"]
features:
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hub_id: helpotcreator/kaggle_carprice_train
license: []
language: []
config_name: default
column_names:
["model","year","motor_type","running","wheel","color","type","status","motor_volume","price","__index_level_0__"]

features:
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hub_id: helpotcreator/kaggle_carprice_test
license: []
language: []
config_name: default
column_names: ["model","year","motor_type","running","wheel","color","type","status","motor_volume","Id"]
features:
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hub_id: MultimodalUniverse/legacysurvey
license: []
language: []
config_name: dr10_south_21
column_names:
["image","model_image","object_mask","catalog","EBV","FLUX_G","FLUX_R","FLUX_I","FLUX_Z","FLUX_W1","FLUX_W2","FLUX_W3","FLUX_W4","object_id"]

features:
[{"name":"image","sequence":[{"name":"band","dtype":"string"},{"name":"array","dtype":{"array2_d":{"shape":[160,160],"dtype":"float32"}}},{"name":"bit_mask","dtype":{"array2_d":{"shape":[160,160],"dtype":"bool"}}},{"name":"ivar","dtype":{"array2_d":{"shape":[160,160],"dtype":"float32"}}},{"name":"psf_fwhm","dtype":"float32"},{"name":"scale","dtype":"float32"}]},{"name":"model_image","dtype":"image"},{"name":"object_mask","dtype":"image"},{"name":"catalog","sequence":[{"name":"FLUX_G","dtype":"float32"},{"name":"FLUX_R","dtype":"float32"},{"name":"FLUX_I","dtype":"float32"},{"name":"FLUX_Z","dtype":"float32"},{"name":"FLUX_IVAR_G","dtype":"float32"},{"name":"FLUX_IVAR_R","dtype":"float32"},{"name":"FLUX_IVAR_I","dtype":"float32"},{"name":"FLUX_IVAR_Z","dtype":"float32"}]},{"name":"EBV","dtype":"float32"},{"name":"FLUX_G","dtype":"float32"},{"name":"FLUX_R","dtype":"float32"},{"name":"FLUX_I","dtype":"float32"},{"name":"FLUX_Z","dtype":"float32"},{"name":"FLUX_W1","dtype":"float32"},{"name":"FLUX_W2","dtype":"float32"},{"name":"FLUX_W3","dtype":"float32"},{"name":"FLUX_W4","dtype":"float32"},{"name":"object_id","dtype":"string"}]


hub_id: ChartMimic/ChartMimic
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["image1","image2"]
features: [{"name":"image1","dtype":"image"},{"name":"image2","dtype":"image"}]
tags:
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hub_id: nebrelbug/math-problems
license: ["mit"]
language: []
config_name: default
column_names: ["infix","postfix","result","type","items"]
tags:
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features:
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hub_id: CoIR-Retrieval/synthetic-text2sql-queries-corpus
license: []
language: []
config_name: default
column_names: ["_id","partition","text","context","language","title","meta_information"]
features:
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hub_id: Joctor/newyorker_oogiri_caption
license: []
language: []
config_name: matching
column_names: ["image","contest_number","caption_choices","label"]
features:
[{"name":"image","dtype":"image"},{"name":"contest_number","dtype":"int64"},{"name":"caption_choices","sequence":"string"},{"name":"label","dtype":"string"}]


hub_id: dmrau/kilt-128
license: []
language: []
config_name: default
column_names: ["content","next_text","id"]
features:
[{"name":"content","dtype":"string"},{"name":"next_text","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: CoIR-Retrieval/stackoverflow-qa-queries-corpus
license: []
language: []
config_name: default
column_names: ["_id","partition","text","language","title"]
features:
[{"name":"_id","dtype":"string"},{"name":"partition","dtype":"string"},{"name":"text","dtype":"string"},{"name":"language","dtype":"string"},{"name":"title","dtype":"string"}]


hub_id: vinhtran2611/Mini-Physics-Instruct-1k_filtered_formated
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["instruction","output","input","system","history"]
features:
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hub_id: saifkhichi96/sid
license: ["cc-by-nc-4.0"]
language: ["en"]
config_name: default
column_names: ["scan","scenario","objects","instructions","conversation"]
tags:
["task_categories:question-answering","task_categories:text-generation","task_categories:summarization","task_categories:text2text-generation","language:en","license:cc-by-nc-4.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
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hub_id: plaguss/vllm-structured-generation
license: []
language: []
config_name: default
column_names: ["instruction","structured_output","generation_model","generation","distilabel_metadata"]
features:
[{"name":"instruction","dtype":"string"},{"name":"structured_output","struct":[{"name":"format","dtype":"string"},{"name":"schema","struct":[{"name":"properties","struct":[{"name":"description","struct":[{"name":"title","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"diet","struct":[{"name":"title","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"habitat","struct":[{"name":"title","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"name","struct":[{"name":"title","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"role","struct":[{"name":"title","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"species","struct":[{"name":"title","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"weapon","struct":[{"name":"title","dtype":"string"},{"name":"type","dtype":"string"}]}]},{"name":"required","sequence":"string"},{"name":"title","dtype":"string"},{"name":"type","dtype":"string"}]}]},{"name":"generation_model","dtype":"string"},{"name":"generation","dtype":"string"},{"name":"distilabel_metadata","struct":[{"name":"raw_output_task","dtype":"string"}]}]


hub_id: tomg-group-umd/GenQA_raw
license: []
language: []
config_name: writing
column_names: ["user","assistant","user2","assistant2","prompt","template","idx"]
features:
[{"name":"user","dtype":"string"},{"name":"assistant","dtype":"string"},{"name":"user2","dtype":"string"},{"name":"assistant2","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"template","dtype":"string"},{"name":"idx","dtype":"int64"}]


hub_id: CoIR-Retrieval/apps-queries-corpus
license: []
language: []
config_name: default
column_names: ["_id","partition","text","language","meta_information","title"]
features:
[{"name":"_id","dtype":"string"},{"name":"partition","dtype":"string"},{"name":"text","dtype":"string"},{"name":"language","dtype":"string"},{"name":"meta_information","struct":[{"name":"starter_code","dtype":"string"},{"name":"url","dtype":"string"}]},{"name":"title","dtype":"string"}]


hub_id: DynamicSuperb/Coswara
license: ["cc-by-4.0"]
language: []
config_name: default
column_names: ["audio","label"]
tags:
["license:cc-by-4.0","size_categories:n<1K","parquet","audio","datasets","dask","mlcroissant","region:us","croissant"]

features:
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hub_id: Jujeong/LLM_data
license: []
language: []
config_name: default
column_names: ["data"]
features:
[{"name":"data","struct":[{"name":"Answer","dtype":"string"},{"name":"Context","dtype":"string"},{"name":"Question","dtype":"string"}]}]


hub_id: MikeGreen2710/12-jun-id-description-hn
license: []
language: []
config_name: default
column_names: ["id","description","row_no","__index_level_0__"]
features:
[{"name":"id","dtype":"string"},{"name":"description","dtype":"string"},{"name":"row_no","dtype":"int64"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: maxseats/aihub-464-preprocessed-680GB-set-0
license: []
language: []
config_name: default
column_names: ["audio","transcripts","input_features","labels"]
features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"transcripts","dtype":"string"},{"name":"input_features","sequence":{"sequence":"float32"}},{"name":"labels","sequence":"int64"}]


hub_id: tomg-group-umd/GenQA
license: []
language: []
config_name: default
column_names: ["text","prompt","template","idx","category"]
tags:
["size_categories:10M<n<100M","parquet","image","text","datasets","dask","mlcroissant","arxiv:2406.10323","region:us","croissant"]

features:
[{"name":"text","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"prompt","dtype":"string"},{"name":"template","dtype":"string"},{"name":"idx","dtype":"int64"},{"name":"category","dtype":"string"}]


hub_id: flydust/MathInstruct_ShareGPT
license: []
language: []
config_name: default
column_names: ["source","output","instruction","conversations"]
features:
[{"name":"source","dtype":"string"},{"name":"output","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"conversations","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]}]


hub_id: tlpss/open-coffee-handle
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["tcp_pose_rotvec","wrench","fingertips","accelerometer","frame_index","episode_index","index","timestamp","next.done","next.success","action","observation.images.wrist.rgb","observation.images.wrist.depth","observation.images.base.rgb","observation.images.base.depth","observation.state"]

features:
[{"name":"tcp_pose_rotvec","sequence":"float32","length":6},{"name":"wrench","sequence":"float32","length":6},{"name":"fingertips","sequence":"float32","length":32},{"name":"accelerometer","dtype":"float32"},{"name":"frame_index","dtype":"int64"},{"name":"episode_index","dtype":"int64"},{"name":"index","dtype":"int64"},{"name":"timestamp","dtype":"float32"},{"name":"next.done","dtype":"bool"},{"name":"next.success","dtype":"bool"},{"name":"action","sequence":"float32","length":7},{"name":"observation.images.wrist.rgb","dtype":"video_frame"},{"name":"observation.images.wrist.depth","dtype":"video_frame"},{"name":"observation.images.base.rgb","dtype":"video_frame"},{"name":"observation.images.base.depth","dtype":"video_frame"},{"name":"observation.state","sequence":"float32","length":40}]


hub_id: rifkiaputri/id-csqa
license: ["cc-by-nc-sa-4.0"]
language: ["id"]
config_name: llm_gen
column_names: ["id","category","question_concept","question","choices","answer_creator"]
tags:
["task_categories:question-answering","language:id","license:cc-by-nc-sa-4.0","size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","arxiv:2402.17302","region:us","croissant"]

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


hub_id: sjyuxyz/MMLU-Pro-with-subset
tags: ["license:mit","size_categories:10K<n<100K","tabular","text","region:us"]
license: ["mit"]
language: []
config_name: psychology
column_names:
["question_id","question","options","answer","answer_index","cot_content","category","src","__index_level_0__"]

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":"__index_level_0__","dtype":"int64"}]


hub_id: seanfu112/test
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["Image Binary","Image Id","Prompt","Rewritten Question"]
features:
[{"name":"Image Binary","dtype":"image"},{"name":"Image Id","dtype":"string"},{"name":"Prompt","dtype":"string"},{"name":"Rewritten Question","dtype":"string"}]


hub_id: DynamicSuperb/Multiple_Singing_Dataset
license: []
language: []
config_name: default
column_names:
["audio","file","separated_audio1","separated_audio2","separated_audio3","separated_audio4","separated_audio5","separated_audio6","instruction","label"]

features:
[{"name":"audio","dtype":"audio"},{"name":"file","dtype":"string"},{"name":"separated_audio1","dtype":"audio"},{"name":"separated_audio2","dtype":"audio"},{"name":"separated_audio3","dtype":"audio"},{"name":"separated_audio4","dtype":"audio"},{"name":"separated_audio5","dtype":"audio"},{"name":"separated_audio6","dtype":"audio"},{"name":"instruction","dtype":"string"},{"name":"label","dtype":"int64"}]


hub_id: LeoKuo49/Amitabha
license: []
language: []
config_name: default
features:
[{"name":"client_id","dtype":"string"},{"name":"path","dtype":"string"},{"name":"audio","dtype":"audio"},{"name":"sentence","dtype":"string"},{"name":"up_votes","dtype":"string"},{"name":"down_votes","dtype":"string"},{"name":"age","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"accent","dtype":"string"},{"name":"locale","dtype":"string"},{"name":"segment","dtype":"string"},{"name":"variant","dtype":"string"}]


hub_id: binhnx8/vivos_telex
license: []
language: []
config_name: default
column_names: ["audio","transcription","telex"]
features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"transcription","dtype":"string"},{"name":"telex","dtype":"string"}]


hub_id: rifkiaputri/su-csqa
license: ["cc-by-nc-sa-4.0"]
language: ["su"]
config_name: llm_gen
column_names: ["id","category","question_concept","question","choices","answer_creator"]
tags:
["task_categories:question-answering","language:su","license:cc-by-nc-sa-4.0","size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","arxiv:2402.17302","region:us","croissant"]

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


hub_id: amrshbaitah98/Socially
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["image","description","enhanced_image"]
features:
[{"name":"image","dtype":"string"},{"name":"description","dtype":"string"},{"name":"enhanced_image","dtype":"string"}]


hub_id: erbacher/rag-and-roll-hagrid-deduplicated
license: []
language: []
config_name: default
column_names: ["Unnamed: 0","query","answer","messages","__index_level_0__"]
features:
[{"name":"Unnamed: 0","dtype":"int64"},{"name":"query","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: VatsalPatel18/Open-Weather-ChatBot-Intent
license: ["cc-by-nc-sa-4.0"]
language: []
config_name: default
column_names: ["conversations"]
tags:
["license:cc-by-nc-sa-4.0","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"conversations","struct":[{"name":"intent_extraction","struct":[{"name":"entities","struct":[{"name":"city","dtype":"string"},{"name":"date","dtype":"string"},{"name":"time_of_day","dtype":"string"}]},{"name":"intent","dtype":"string"}]},{"name":"user_input","dtype":"string"}]}]


hub_id: VatsalPatel18/Open-Weather-ChatBot-Response
license: ["cc-by-nc-sa-4.0"]
language: []
config_name: default
column_names: ["conversations"]
features:
[{"name":"conversations","struct":[{"name":"api_response","struct":[{"name":"date","dtype":"string"},{"name":"description","dtype":"string"},{"name":"humidity","dtype":"int64"},{"name":"location","dtype":"string"},{"name":"temperature","dtype":"float64"},{"name":"wind_speed","dtype":"float64"}]},{"name":"assistant_response","dtype":"string"},{"name":"user_input","dtype":"string"}]}]


hub_id: berquetR/dataset_dlab_backward_move
license: []
language: []
config_name: default
column_names: ["source","target","current_page","visited_pages","next_page","previous_page","action"]
features:
[{"name":"source","dtype":"string"},{"name":"target","dtype":"string"},{"name":"current_page","dtype":"string"},{"name":"visited_pages","sequence":"string"},{"name":"next_page","dtype":"string"},{"name":"previous_page","dtype":"string"},{"name":"action","dtype":"string"}]


hub_id: plaguss/argilla_sdk_docs_raw_unstructured
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["filename","chunks","repo_name"]
features:
[{"name":"filename","dtype":"string"},{"name":"chunks","dtype":"string"},{"name":"repo_name","dtype":"string"}]


hub_id: AcademicEval/AcademicEval
license: ["cc-by-4.0"]
language: ["en"]
config_name: intro_8K
tags:
["task_categories:summarization","task_categories:text-generation","language:en","license:cc-by-4.0","size_categories:1K<n<10K","json","image","text","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["url","published","title","abstract","gt","primary_cat","paper_cat","updated","main_content","authors","label","cats"]

features:
[{"name":"url","dtype":"string"},{"name":"published","dtype":"string"},{"name":"title","dtype":"string"},{"name":"abstract","dtype":"string"},{"name":"gt","dtype":"string"},{"name":"primary_cat","dtype":"string"},{"name":"paper_cat","dtype":"string"},{"name":"updated","dtype":"string"},{"name":"main_content","dtype":"string"},{"name":"authors","dtype":"string"},{"name":"label","dtype":"string"},{"name":"cats","sequence":"string"}]


hub_id: hieunguyen1053/wikipedia_envi
license: []
language: []
config_name: default
column_names: ["id","url","title","text","__index_level_0__"]
features:
[{"name":"id","dtype":"int64"},{"name":"url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: hgissbkh/ALMA-SFT
license: []
language: []
config_name: default
column_names: ["data_source","lp","src","tgt"]
features:
[{"name":"data_source","dtype":"string"},{"name":"lp","dtype":"string"},{"name":"src","dtype":"string"},{"name":"tgt","dtype":"string"}]


hub_id: erbacher/rag-n-roll-webgpt-deduplicated
license: []
language: []
config_name: default
column_names: ["index","question","quotes_0","answer_0","score_0","sentences_0","messages","__index_level_0__"]
features:
[{"name":"index","dtype":"int64"},{"name":"question","struct":[{"name":"dataset","dtype":"string"},{"name":"full_text","dtype":"string"},{"name":"id","dtype":"string"}]},{"name":"quotes_0","struct":[{"name":"extract","sequence":"string"},{"name":"title","sequence":"string"}]},{"name":"answer_0","dtype":"string"},{"name":"score_0","dtype":"float64"},{"name":"sentences_0","list":[{"name":"citations","sequence":"int64"},{"name":"subqueries","sequence":"string"},{"name":"text","dtype":"string"}]},{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: sqrk/mixat-tri
license: []
language: []
config_name: default
column_names: ["audio","transcript","transliteration","translation","language","duration_ms"]
features:
[{"name":"audio","dtype":"audio"},{"name":"transcript","dtype":"string"},{"name":"transliteration","dtype":"string"},{"name":"translation","dtype":"string"},{"name":"language","dtype":"string"},{"name":"duration_ms","dtype":"int64"}]


hub_id: AcademicEval/AcademicEval_Full
license: ["cc-by-4.0"]
language: ["en"]
config_name: intro_8K
tags:
["task_categories:summarization","task_categories:text-generation","language:en","license:cc-by-4.0","size_categories:10K<n<100K","region:us","croissant"]

column_names:
["url","published","title","abstract","gt","primary_cat","paper_cat","updated","main_content","authors","label","cats"]

features:
[{"name":"url","dtype":"string"},{"name":"published","dtype":"string"},{"name":"title","dtype":"string"},{"name":"abstract","dtype":"string"},{"name":"gt","dtype":"string"},{"name":"primary_cat","dtype":"string"},{"name":"paper_cat","dtype":"string"},{"name":"updated","dtype":"string"},{"name":"main_content","dtype":"string"},{"name":"authors","dtype":"string"},{"name":"label","dtype":"string"},{"name":"cats","sequence":"string"}]


hub_id: ylacombe/mls-eng-descriptions-v4
license: []
language: []
config_name: default
column_names:
["original_path","begin_time","end_time","original_text","audio_duration","speaker_id","book_id","snr","c50","speech_duration","speaking_rate","phonemes","stoi","si-sdr","pesq","text","utterance_pitch_mean","utterance_pitch_std","gender","pitch","noise","reverberation","speech_monotony","sdr_noise","pesq_speech_quality","text_description"]

features:
[{"name":"original_path","dtype":"string"},{"name":"begin_time","dtype":"float64"},{"name":"end_time","dtype":"float64"},{"name":"original_text","dtype":"string"},{"name":"audio_duration","dtype":"float64"},{"name":"speaker_id","dtype":"string"},{"name":"book_id","dtype":"string"},{"name":"snr","dtype":"float32"},{"name":"c50","dtype":"float32"},{"name":"speech_duration","dtype":"float64"},{"name":"speaking_rate","dtype":"string"},{"name":"phonemes","dtype":"string"},{"name":"stoi","dtype":"float64"},{"name":"si-sdr","dtype":"float64"},{"name":"pesq","dtype":"float64"},{"name":"text","dtype":"string"},{"name":"utterance_pitch_mean","dtype":"float64"},{"name":"utterance_pitch_std","dtype":"float64"},{"name":"gender","dtype":"string"},{"name":"pitch","dtype":"string"},{"name":"noise","dtype":"string"},{"name":"reverberation","dtype":"string"},{"name":"speech_monotony","dtype":"string"},{"name":"sdr_noise","dtype":"string"},{"name":"pesq_speech_quality","dtype":"string"},{"name":"text_description","dtype":"string"}]


hub_id: lamm-mit/logic_and_reasoning-vision_V5
license: []
language: []
config_name: default
column_names:
["image","image_thumbnail","query","answer","answer_expanded","orig_caption","image_url","image_url_thumbnail","context","url"]

features:
[{"name":"image","dtype":"image"},{"name":"image_thumbnail","dtype":"image"},{"name":"query","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"answer_expanded","dtype":"string"},{"name":"orig_caption","dtype":"string"},{"name":"image_url","dtype":"string"},{"name":"image_url_thumbnail","dtype":"string"},{"name":"context","dtype":"string"},{"name":"url","dtype":"string"}]


hub_id: LanguageShades/FormattedBiasShades
license: []
language: []
config_name: default
column_names:
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hub_id: Binaryy/transaction_ds
license: []
language: []
config_name: default
column_names:
["User","Card","Year","Month","Day","Time","Amount","Use Chip","Merchant Name","Merchant City","Merchant State","Zip","MCC","Errors?","Is Fraud?","Category","Acct","Amt","Desc","Avail Bal","Date","Transaction Details"]

features:
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hub_id: Cheremy/truthful-qa-nl-gen
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["type","category","question","best_answer","correct_answers","incorrect_answers","source"]
features:
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hub_id: danjacobellis/imagenet_hq_LLIC_512_14bit
tags: ["size_categories:10K<n<100K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["label","latent","codes"]
features:
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salamander, Ambystoma maculatum","29":"axolotl, mud puppy, Ambystoma mexicanum","30":"bullfrog, Rana catesbeiana","31":"tree frog, tree-frog","32":"tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui","33":"loggerhead, loggerhead turtle, Caretta caretta","34":"leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea","35":"mud turtle","36":"terrapin","37":"box turtle, box tortoise","38":"banded gecko","39":"common iguana, iguana, Iguana iguana","40":"American chameleon, anole, Anolis carolinensis","41":"whiptail, whiptail lizard","42":"agama","43":"frilled lizard, Chlamydosaurus kingi","44":"alligator lizard","45":"Gila monster, Heloderma suspectum","46":"green lizard, Lacerta viridis","47":"African chameleon, Chamaeleo chamaeleon","48":"Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis","49":"African crocodile, Nile crocodile, Crocodylus niloticus","50":"American alligator, Alligator 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spider, hunting spider","78":"tick","79":"centipede","80":"black grouse","81":"ptarmigan","82":"ruffed grouse, partridge, Bonasa umbellus","83":"prairie chicken, prairie grouse, prairie fowl","84":"peacock","85":"quail","86":"partridge","87":"African grey, African gray, Psittacus erithacus","88":"macaw","89":"sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita","90":"lorikeet","91":"coucal","92":"bee eater","93":"hornbill","94":"hummingbird","95":"jacamar","96":"toucan","97":"drake","98":"red-breasted merganser, Mergus serrator","99":"goose","100":"black swan, Cygnus atratus","101":"tusker","102":"echidna, spiny anteater, anteater","103":"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus","104":"wallaby, brush kangaroo","105":"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus","106":"wombat","107":"jellyfish","108":"sea anemone, anemone","109":"brain coral","110":"flatworm, platyhelminth","111":"nematode, nematode worm, roundworm","112":"conch","113":"snail","114":"slug","115":"sea slug, nudibranch","116":"chiton, coat-of-mail shell, sea cradle, polyplacophore","117":"chambered nautilus, pearly nautilus, nautilus","118":"Dungeness crab, Cancer magister","119":"rock crab, Cancer irroratus","120":"fiddler crab","121":"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica","122":"American lobster, Northern lobster, Maine lobster, Homarus americanus","123":"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish","124":"crayfish, crawfish, crawdad, crawdaddy","125":"hermit crab","126":"isopod","127":"white stork, Ciconia ciconia","128":"black stork, Ciconia nigra","129":"spoonbill","130":"flamingo","131":"little blue heron, Egretta caerulea","132":"American egret, great white heron, Egretta albus","133":"bittern","134":"crane","135":"limpkin, Aramus pictus","136":"European gallinule, Porphyrio porphyrio","137":"American coot, marsh hen, mud hen, water hen, Fulica americana","138":"bustard","139":"ruddy turnstone, Arenaria interpres","140":"red-backed sandpiper, dunlin, Erolia alpina","141":"redshank, Tringa totanus","142":"dowitcher","143":"oystercatcher, oyster catcher","144":"pelican","145":"king penguin, Aptenodytes patagonica","146":"albatross, mollymawk","147":"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus","148":"killer whale, killer, orca, grampus, sea wolf, Orcinus orca","149":"dugong, Dugong dugon","150":"sea lion","151":"Chihuahua","152":"Japanese spaniel","153":"Maltese dog, Maltese terrier, Maltese","154":"Pekinese, Pekingese, Peke","155":"Shih-Tzu","156":"Blenheim spaniel","157":"papillon","158":"toy terrier","159":"Rhodesian ridgeback","160":"Afghan hound, Afghan","161":"basset, basset hound","162":"beagle","163":"bloodhound, sleuthhound","164":"bluetick","165":"black-and-tan coonhound","166":"Walker hound, Walker foxhound","167":"English foxhound","168":"redbone","169":"borzoi, Russian wolfhound","170":"Irish wolfhound","171":"Italian greyhound","172":"whippet","173":"Ibizan hound, Ibizan Podenco","174":"Norwegian elkhound, elkhound","175":"otterhound, otter hound","176":"Saluki, gazelle hound","177":"Scottish deerhound, deerhound","178":"Weimaraner","179":"Staffordshire bullterrier, Staffordshire bull terrier","180":"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier","181":"Bedlington terrier","182":"Border terrier","183":"Kerry blue terrier","184":"Irish terrier","185":"Norfolk terrier","186":"Norwich terrier","187":"Yorkshire terrier","188":"wire-haired fox terrier","189":"Lakeland terrier","190":"Sealyham terrier, Sealyham","191":"Airedale, Airedale terrier","192":"cairn, cairn terrier","193":"Australian terrier","194":"Dandie Dinmont, Dandie Dinmont terrier","195":"Boston bull, Boston terrier","196":"miniature schnauzer","197":"giant schnauzer","198":"standard schnauzer","199":"Scotch terrier, Scottish terrier, Scottie","200":"Tibetan terrier, chrysanthemum dog","201":"silky terrier, Sydney silky","202":"soft-coated wheaten terrier","203":"West Highland white terrier","204":"Lhasa, Lhasa apso","205":"flat-coated retriever","206":"curly-coated retriever","207":"golden retriever","208":"Labrador retriever","209":"Chesapeake Bay retriever","210":"German short-haired pointer","211":"vizsla, Hungarian pointer","212":"English setter","213":"Irish setter, red setter","214":"Gordon setter","215":"Brittany spaniel","216":"clumber, clumber spaniel","217":"English springer, English springer spaniel","218":"Welsh springer spaniel","219":"cocker spaniel, English cocker spaniel, cocker","220":"Sussex spaniel","221":"Irish water spaniel","222":"kuvasz","223":"schipperke","224":"groenendael","225":"malinois","226":"briard","227":"kelpie","228":"komondor","229":"Old English sheepdog, bobtail","230":"Shetland sheepdog, Shetland sheep dog, Shetland","231":"collie","232":"Border collie","233":"Bouvier des Flandres, Bouviers des Flandres","234":"Rottweiler","235":"German shepherd, German shepherd dog, German police dog, alsatian","236":"Doberman, Doberman pinscher","237":"miniature pinscher","238":"Greater Swiss Mountain dog","239":"Bernese mountain dog","240":"Appenzeller","241":"EntleBucher","242":"boxer","243":"bull mastiff","244":"Tibetan mastiff","245":"French bulldog","246":"Great Dane","247":"Saint Bernard, St Bernard","248":"Eskimo dog, husky","249":"malamute, malemute, Alaskan malamute","250":"Siberian husky","251":"dalmatian, coach dog, carriage dog","252":"affenpinscher, monkey pinscher, monkey dog","253":"basenji","254":"pug, pug-dog","255":"Leonberg","256":"Newfoundland, Newfoundland dog","257":"Great Pyrenees","258":"Samoyed, Samoyede","259":"Pomeranian","260":"chow, chow chow","261":"keeshond","262":"Brabancon griffon","263":"Pembroke, Pembroke Welsh corgi","264":"Cardigan, Cardigan Welsh corgi","265":"toy poodle","266":"miniature poodle","267":"standard poodle","268":"Mexican hairless","269":"timber wolf, grey wolf, gray wolf, Canis lupus","270":"white wolf, Arctic wolf, Canis lupus tundrarum","271":"red wolf, maned wolf, Canis rufus, Canis niger","272":"coyote, prairie wolf, brush wolf, Canis latrans","273":"dingo, warrigal, warragal, Canis dingo","274":"dhole, Cuon alpinus","275":"African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus","276":"hyena, hyaena","277":"red fox, Vulpes vulpes","278":"kit fox, Vulpes macrotis","279":"Arctic fox, white fox, Alopex lagopus","280":"grey fox, gray fox, Urocyon cinereoargenteus","281":"tabby, tabby cat","282":"tiger cat","283":"Persian cat","284":"Siamese cat, Siamese","285":"Egyptian cat","286":"cougar, puma, catamount, mountain lion, painter, panther, Felis concolor","287":"lynx, catamount","288":"leopard, Panthera pardus","289":"snow leopard, ounce, Panthera uncia","290":"jaguar, panther, Panthera onca, Felis onca","291":"lion, king of beasts, Panthera leo","292":"tiger, Panthera tigris","293":"cheetah, chetah, Acinonyx jubatus","294":"brown bear, bruin, Ursus arctos","295":"American black bear, black bear, Ursus americanus, Euarctos americanus","296":"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus","297":"sloth bear, Melursus ursinus, Ursus ursinus","298":"mongoose","299":"meerkat, mierkat","300":"tiger beetle","301":"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle","302":"ground beetle, carabid beetle","303":"long-horned beetle, longicorn, longicorn beetle","304":"leaf beetle, chrysomelid","305":"dung beetle","306":"rhinoceros beetle","307":"weevil","308":"fly","309":"bee","310":"ant, emmet, pismire","311":"grasshopper, hopper","312":"cricket","313":"walking stick, walkingstick, stick insect","314":"cockroach, roach","315":"mantis, mantid","316":"cicada, cicala","317":"leafhopper","318":"lacewing, lacewing fly","319":"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk","320":"damselfly","321":"admiral","322":"ringlet, ringlet butterfly","323":"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus","324":"cabbage butterfly","325":"sulphur butterfly, sulfur butterfly","326":"lycaenid, lycaenid butterfly","327":"starfish, sea star","328":"sea urchin","329":"sea cucumber, holothurian","330":"wood rabbit, cottontail, cottontail rabbit","331":"hare","332":"Angora, Angora rabbit","333":"hamster","334":"porcupine, hedgehog","335":"fox squirrel, eastern fox squirrel, Sciurus niger","336":"marmot","337":"beaver","338":"guinea pig, Cavia cobaya","339":"sorrel","340":"zebra","341":"hog, pig, grunter, squealer, Sus scrofa","342":"wild boar, boar, Sus scrofa","343":"warthog","344":"hippopotamus, hippo, river horse, Hippopotamus amphibius","345":"ox","346":"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis","347":"bison","348":"ram, tup","349":"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis","350":"ibex, Capra ibex","351":"hartebeest","352":"impala, Aepyceros melampus","353":"gazelle","354":"Arabian camel, dromedary, Camelus dromedarius","355":"llama","356":"weasel","357":"mink","358":"polecat, fitch, foulmart, foumart, Mustela putorius","359":"black-footed ferret, ferret, Mustela nigripes","360":"otter","361":"skunk, polecat, wood pussy","362":"badger","363":"armadillo","364":"three-toed sloth, ai, Bradypus tridactylus","365":"orangutan, orang, orangutang, Pongo pygmaeus","366":"gorilla, Gorilla gorilla","367":"chimpanzee, chimp, Pan troglodytes","368":"gibbon, Hylobates lar","369":"siamang, Hylobates syndactylus, Symphalangus syndactylus","370":"guenon, guenon monkey","371":"patas, hussar monkey, Erythrocebus patas","372":"baboon","373":"macaque","374":"langur","375":"colobus, colobus monkey","376":"proboscis monkey, Nasalis larvatus","377":"marmoset","378":"capuchin, ringtail, Cebus capucinus","379":"howler monkey, howler","380":"titi, titi 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carrier","404":"airliner","405":"airship, dirigible","406":"altar","407":"ambulance","408":"amphibian, amphibious vehicle","409":"analog clock","410":"apiary, bee house","411":"apron","412":"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin","413":"assault rifle, assault gun","414":"backpack, back pack, knapsack, packsack, rucksack, haversack","415":"bakery, bakeshop, bakehouse","416":"balance beam, beam","417":"balloon","418":"ballpoint, ballpoint pen, ballpen, Biro","419":"Band Aid","420":"banjo","421":"bannister, banister, balustrade, balusters, handrail","422":"barbell","423":"barber chair","424":"barbershop","425":"barn","426":"barometer","427":"barrel, cask","428":"barrow, garden cart, lawn cart, wheelbarrow","429":"baseball","430":"basketball","431":"bassinet","432":"bassoon","433":"bathing cap, swimming cap","434":"bath towel","435":"bathtub, bathing tub, bath, tub","436":"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon","437":"beacon, lighthouse, beacon light, pharos","438":"beaker","439":"bearskin, busby, shako","440":"beer bottle","441":"beer glass","442":"bell cote, bell cot","443":"bib","444":"bicycle-built-for-two, tandem bicycle, tandem","445":"bikini, two-piece","446":"binder, ring-binder","447":"binoculars, field glasses, opera glasses","448":"birdhouse","449":"boathouse","450":"bobsled, bobsleigh, bob","451":"bolo tie, bolo, bola tie, bola","452":"bonnet, poke bonnet","453":"bookcase","454":"bookshop, bookstore, bookstall","455":"bottlecap","456":"bow","457":"bow tie, bow-tie, bowtie","458":"brass, memorial tablet, plaque","459":"brassiere, bra, bandeau","460":"breakwater, groin, groyne, mole, bulwark, seawall, jetty","461":"breastplate, aegis, egis","462":"broom","463":"bucket, pail","464":"buckle","465":"bulletproof vest","466":"bullet train, bullet","467":"butcher shop, meat market","468":"cab, hack, taxi, taxicab","469":"caldron, cauldron","470":"candle, taper, wax light","471":"cannon","472":"canoe","473":"can opener, tin opener","474":"cardigan","475":"car mirror","476":"carousel, carrousel, merry-go-round, roundabout, whirligig","477":"carpenter's kit, tool kit","478":"carton","479":"car wheel","480":"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM","481":"cassette","482":"cassette player","483":"castle","484":"catamaran","485":"CD player","486":"cello, violoncello","487":"cellular telephone, cellular phone, cellphone, cell, mobile phone","488":"chain","489":"chainlink fence","490":"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour","491":"chain saw, chainsaw","492":"chest","493":"chiffonier, commode","494":"chime, bell, gong","495":"china cabinet, china closet","496":"Christmas stocking","497":"church, church building","498":"cinema, movie theater, movie theatre, movie house, picture palace","499":"cleaver, meat cleaver, chopper","500":"cliff dwelling","501":"cloak","502":"clog, geta, patten, sabot","503":"cocktail shaker","504":"coffee mug","505":"coffeepot","506":"coil, spiral, volute, whorl, helix","507":"combination lock","508":"computer keyboard, keypad","509":"confectionery, confectionary, candy store","510":"container ship, containership, container vessel","511":"convertible","512":"corkscrew, bottle screw","513":"cornet, horn, trumpet, trump","514":"cowboy boot","515":"cowboy hat, ten-gallon hat","516":"cradle","517":"crane2","518":"crash helmet","519":"crate","520":"crib, cot","521":"Crock Pot","522":"croquet ball","523":"crutch","524":"cuirass","525":"dam, dike, dyke","526":"desk","527":"desktop computer","528":"dial telephone, dial phone","529":"diaper, nappy, napkin","530":"digital clock","531":"digital watch","532":"dining table, board","533":"dishrag, dishcloth","534":"dishwasher, dish washer, dishwashing machine","535":"disk brake, disc brake","536":"dock, dockage, docking facility","537":"dogsled, dog sled, dog sleigh","538":"dome","539":"doormat, welcome mat","540":"drilling platform, offshore rig","541":"drum, membranophone, tympan","542":"drumstick","543":"dumbbell","544":"Dutch oven","545":"electric fan, blower","546":"electric guitar","547":"electric locomotive","548":"entertainment center","549":"envelope","550":"espresso maker","551":"face powder","552":"feather boa, boa","553":"file, file cabinet, filing cabinet","554":"fireboat","555":"fire engine, fire truck","556":"fire screen, fireguard","557":"flagpole, flagstaff","558":"flute, transverse flute","559":"folding chair","560":"football helmet","561":"forklift","562":"fountain","563":"fountain pen","564":"four-poster","565":"freight car","566":"French horn, horn","567":"frying pan, frypan, skillet","568":"fur coat","569":"garbage truck, dustcart","570":"gasmask, respirator, gas helmet","571":"gas pump, gasoline pump, petrol pump, island dispenser","572":"goblet","573":"go-kart","574":"golf ball","575":"golfcart, golf cart","576":"gondola","577":"gong, tam-tam","578":"gown","579":"grand piano, grand","580":"greenhouse, nursery, glasshouse","581":"grille, radiator grille","582":"grocery store, grocery, food market, market","583":"guillotine","584":"hair slide","585":"hair spray","586":"half track","587":"hammer","588":"hamper","589":"hand blower, blow dryer, blow drier, hair dryer, hair drier","590":"hand-held computer, hand-held microcomputer","591":"handkerchief, hankie, hanky, hankey","592":"hard disc, hard disk, fixed disk","593":"harmonica, mouth organ, harp, mouth harp","594":"harp","595":"harvester, reaper","596":"hatchet","597":"holster","598":"home theater, home theatre","599":"honeycomb","600":"hook, claw","601":"hoopskirt, crinoline","602":"horizontal bar, high bar","603":"horse cart, horse-cart","604":"hourglass","605":"iPod","606":"iron, smoothing iron","607":"jack-o'-lantern","608":"jean, blue jean, denim","609":"jeep, landrover","610":"jersey, T-shirt, tee shirt","611":"jigsaw puzzle","612":"jinrikisha, ricksha, rickshaw","613":"joystick","614":"kimono","615":"knee pad","616":"knot","617":"lab coat, laboratory coat","618":"ladle","619":"lampshade, lamp shade","620":"laptop, laptop computer","621":"lawn mower, mower","622":"lens cap, lens cover","623":"letter opener, paper knife, paperknife","624":"library","625":"lifeboat","626":"lighter, light, igniter, ignitor","627":"limousine, limo","628":"liner, ocean liner","629":"lipstick, lip rouge","630":"Loafer","631":"lotion","632":"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system","633":"loupe, jeweler's loupe","634":"lumbermill, sawmill","635":"magnetic compass","636":"mailbag, postbag","637":"mailbox, letter box","638":"maillot","639":"maillot, tank suit","640":"manhole cover","641":"maraca","642":"marimba, xylophone","643":"mask","644":"matchstick","645":"maypole","646":"maze, labyrinth","647":"measuring cup","648":"medicine chest, medicine cabinet","649":"megalith, megalithic structure","650":"microphone, mike","651":"microwave, microwave oven","652":"military uniform","653":"milk can","654":"minibus","655":"miniskirt, mini","656":"minivan","657":"missile","658":"mitten","659":"mixing bowl","660":"mobile home, manufactured home","661":"Model T","662":"modem","663":"monastery","664":"monitor","665":"moped","666":"mortar","667":"mortarboard","668":"mosque","669":"mosquito net","670":"motor scooter, scooter","671":"mountain bike, all-terrain bike, off-roader","672":"mountain tent","673":"mouse, computer mouse","674":"mousetrap","675":"moving van","676":"muzzle","677":"nail","678":"neck brace","679":"necklace","680":"nipple","681":"notebook, notebook computer","682":"obelisk","683":"oboe, hautboy, hautbois","684":"ocarina, sweet potato","685":"odometer, hodometer, mileometer, milometer","686":"oil filter","687":"organ, pipe organ","688":"oscilloscope, scope, cathode-ray oscilloscope, CRO","689":"overskirt","690":"oxcart","691":"oxygen mask","692":"packet","693":"paddle, boat paddle","694":"paddlewheel, paddle wheel","695":"padlock","696":"paintbrush","697":"pajama, pyjama, pj's, jammies","698":"palace","699":"panpipe, pandean pipe, syrinx","700":"paper towel","701":"parachute, chute","702":"parallel bars, bars","703":"park bench","704":"parking meter","705":"passenger car, coach, carriage","706":"patio, terrace","707":"pay-phone, pay-station","708":"pedestal, plinth, footstall","709":"pencil box, pencil case","710":"pencil sharpener","711":"perfume, essence","712":"Petri dish","713":"photocopier","714":"pick, plectrum, plectron","715":"pickelhaube","716":"picket fence, paling","717":"pickup, pickup truck","718":"pier","719":"piggy bank, penny bank","720":"pill bottle","721":"pillow","722":"ping-pong ball","723":"pinwheel","724":"pirate, pirate ship","725":"pitcher, ewer","726":"plane, carpenter's plane, woodworking plane","727":"planetarium","728":"plastic bag","729":"plate rack","730":"plow, plough","731":"plunger, plumber's helper","732":"Polaroid camera, Polaroid Land camera","733":"pole","734":"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria","735":"poncho","736":"pool table, billiard table, snooker table","737":"pop bottle, soda bottle","738":"pot, flowerpot","739":"potter's wheel","740":"power drill","741":"prayer rug, prayer mat","742":"printer","743":"prison, prison house","744":"projectile, missile","745":"projector","746":"puck, hockey puck","747":"punching bag, punch bag, punching ball, punchball","748":"purse","749":"quill, quill pen","750":"quilt, comforter, comfort, puff","751":"racer, race car, racing car","752":"racket, racquet","753":"radiator","754":"radio, wireless","755":"radio telescope, radio reflector","756":"rain barrel","757":"recreational vehicle, RV, R.V.","758":"reel","759":"reflex camera","760":"refrigerator, icebox","761":"remote control, remote","762":"restaurant, eating house, eating place, eatery","763":"revolver, six-gun, six-shooter","764":"rifle","765":"rocking chair, rocker","766":"rotisserie","767":"rubber eraser, rubber, pencil eraser","768":"rugby ball","769":"rule, ruler","770":"running shoe","771":"safe","772":"safety pin","773":"saltshaker, salt shaker","774":"sandal","775":"sarong","776":"sax, saxophone","777":"scabbard","778":"scale, weighing machine","779":"school bus","780":"schooner","781":"scoreboard","782":"screen, CRT screen","783":"screw","784":"screwdriver","785":"seat belt, seatbelt","786":"sewing machine","787":"shield, buckler","788":"shoe shop, shoe-shop, shoe store","789":"shoji","790":"shopping basket","791":"shopping cart","792":"shovel","793":"shower cap","794":"shower curtain","795":"ski","796":"ski mask","797":"sleeping bag","798":"slide rule, slipstick","799":"sliding door","800":"slot, one-armed bandit","801":"snorkel","802":"snowmobile","803":"snowplow, snowplough","804":"soap dispenser","805":"soccer ball","806":"sock","807":"solar dish, solar collector, solar furnace","808":"sombrero","809":"soup bowl","810":"space bar","811":"space heater","812":"space shuttle","813":"spatula","814":"speedboat","815":"spider web, spider's web","816":"spindle","817":"sports car, sport car","818":"spotlight, spot","819":"stage","820":"steam locomotive","821":"steel arch bridge","822":"steel drum","823":"stethoscope","824":"stole","825":"stone wall","826":"stopwatch, stop watch","827":"stove","828":"strainer","829":"streetcar, tram, tramcar, trolley, trolley car","830":"stretcher","831":"studio couch, day bed","832":"stupa, tope","833":"submarine, pigboat, sub, U-boat","834":"suit, suit of clothes","835":"sundial","836":"sunglass","837":"sunglasses, dark glasses, shades","838":"sunscreen, sunblock, sun blocker","839":"suspension bridge","840":"swab, swob, mop","841":"sweatshirt","842":"swimming trunks, bathing trunks","843":"swing","844":"switch, electric switch, electrical switch","845":"syringe","846":"table lamp","847":"tank, army tank, armored combat vehicle, armoured combat vehicle","848":"tape player","849":"teapot","850":"teddy, teddy bear","851":"television, television system","852":"tennis ball","853":"thatch, thatched roof","854":"theater curtain, theatre curtain","855":"thimble","856":"thresher, thrasher, threshing machine","857":"throne","858":"tile roof","859":"toaster","860":"tobacco shop, tobacconist shop, tobacconist","861":"toilet seat","862":"torch","863":"totem pole","864":"tow truck, tow car, wrecker","865":"toyshop","866":"tractor","867":"trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi","868":"tray","869":"trench coat","870":"tricycle, trike, velocipede","871":"trimaran","872":"tripod","873":"triumphal arch","874":"trolleybus, trolley coach, trackless trolley","875":"trombone","876":"tub, vat","877":"turnstile","878":"typewriter keyboard","879":"umbrella","880":"unicycle, monocycle","881":"upright, upright piano","882":"vacuum, vacuum cleaner","883":"vase","884":"vault","885":"velvet","886":"vending machine","887":"vestment","888":"viaduct","889":"violin, fiddle","890":"volleyball","891":"waffle iron","892":"wall clock","893":"wallet, billfold, notecase, pocketbook","894":"wardrobe, closet, press","895":"warplane, military plane","896":"washbasin, handbasin, washbowl, lavabo, wash-hand basin","897":"washer, automatic washer, washing machine","898":"water bottle","899":"water jug","900":"water tower","901":"whiskey jug","902":"whistle","903":"wig","904":"window screen","905":"window shade","906":"Windsor tie","907":"wine bottle","908":"wing","909":"wok","910":"wooden spoon","911":"wool, woolen, woollen","912":"worm fence, snake fence, snake-rail fence, Virginia fence","913":"wreck","914":"yawl","915":"yurt","916":"web site, website, internet site, site","917":"comic book","918":"crossword puzzle, crossword","919":"street sign","920":"traffic light, traffic signal, stoplight","921":"book jacket, dust cover, dust jacket, dust wrapper","922":"menu","923":"plate","924":"guacamole","925":"consomme","926":"hot pot, hotpot","927":"trifle","928":"ice cream, icecream","929":"ice lolly, lolly, lollipop, popsicle","930":"French loaf","931":"bagel, beigel","932":"pretzel","933":"cheeseburger","934":"hotdog, hot dog, red hot","935":"mashed potato","936":"head cabbage","937":"broccoli","938":"cauliflower","939":"zucchini, courgette","940":"spaghetti squash","941":"acorn squash","942":"butternut squash","943":"cucumber, cuke","944":"artichoke, globe artichoke","945":"bell pepper","946":"cardoon","947":"mushroom","948":"Granny Smith","949":"strawberry","950":"orange","951":"lemon","952":"fig","953":"pineapple, ananas","954":"banana","955":"jackfruit, jak, jack","956":"custard apple","957":"pomegranate","958":"hay","959":"carbonara","960":"chocolate sauce, chocolate syrup","961":"dough","962":"meat loaf, meatloaf","963":"pizza, pizza pie","964":"potpie","965":"burrito","966":"red wine","967":"espresso","968":"cup","969":"eggnog","970":"alp","971":"bubble","972":"cliff, drop, drop-off","973":"coral reef","974":"geyser","975":"lakeside, lakeshore","976":"promontory, headland, head, foreland","977":"sandbar, sand bar","978":"seashore, coast, seacoast, sea-coast","979":"valley, vale","980":"volcano","981":"ballplayer, baseball player","982":"groom, bridegroom","983":"scuba diver","984":"rapeseed","985":"daisy","986":"yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum","987":"corn","988":"acorn","989":"hip, rose hip, rosehip","990":"buckeye, horse chestnut, conker","991":"coral fungus","992":"agaric","993":"gyromitra","994":"stinkhorn, carrion fungus","995":"earthstar","996":"hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa","997":"bolete","998":"ear, spike, capitulum","999":"toilet tissue, toilet paper, bathroom tissue"}}}},{"name":"latent","sequence":{"sequence":{"sequence":{"sequence":"int8"}}}},{"name":"codes","sequence":{"sequence":{"sequence":"uint16"}}}]


hub_id: brettrenfer/met_csv_test
license: ["cc0-1.0"]
language: ["en"]
config_name: default
tags:
["language:en","license:cc0-1.0","size_categories:100K<n<1M","csv","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["Object Number","Is Highlight","Is Timeline Work","Is Public Domain","Object ID","Gallery Number","Department","AccessionYear","Object Name","Title","Culture","Period","Dynasty","Reign","Portfolio","Constituent ID","Artist Role","Artist Prefix","Artist Display Name","Artist Display Bio","Artist Suffix","Artist Alpha Sort","Artist Nationality","Artist Begin Date","Artist End Date","Artist Gender","Artist ULAN URL","Artist Wikidata URL","Object Date","Object Begin Date","Object End Date","Medium","Dimensions","Credit Line","Geography Type","City","State","County","Country","Region","Subregion","Locale","Locus","Excavation","River","Classification","Rights and Reproduction","Link Resource","Object Wikidata URL","Metadata Date","Repository","Tags","Tags AAT URL","Tags Wikidata URL"]

features:
[{"name":"Object Number","dtype":"string"},{"name":"Is Highlight","dtype":"bool"},{"name":"Is Timeline Work","dtype":"bool"},{"name":"Is Public Domain","dtype":"bool"},{"name":"Object ID","dtype":"int32"},{"name":"Gallery Number","dtype":"string"},{"name":"Department","dtype":"string"},{"name":"AccessionYear","dtype":"string"},{"name":"Object Name","dtype":"string"},{"name":"Title","dtype":"string"},{"name":"Culture","dtype":"string"},{"name":"Period","dtype":"string"},{"name":"Dynasty","dtype":"string"},{"name":"Reign","dtype":"string"},{"name":"Portfolio","dtype":"string"},{"name":"Constituent ID","dtype":"string"},{"name":"Artist Role","dtype":"string"},{"name":"Artist Prefix","dtype":"string"},{"name":"Artist Display Name","dtype":"string"},{"name":"Artist Display Bio","dtype":"string"},{"name":"Artist Suffix","dtype":"string"},{"name":"Artist Alpha Sort","dtype":"string"},{"name":"Artist Nationality","dtype":"string"},{"name":"Artist Begin Date","dtype":"string"},{"name":"Artist End Date","dtype":"string"},{"name":"Artist Gender","dtype":"string"},{"name":"Artist ULAN URL","dtype":"string"},{"name":"Artist Wikidata URL","dtype":"string"},{"name":"Object Date","dtype":"string"},{"name":"Object Begin Date","dtype":"int64"},{"name":"Object End Date","dtype":"int64"},{"name":"Medium","dtype":"string"},{"name":"Dimensions","dtype":"string"},{"name":"Credit Line","dtype":"string"},{"name":"Geography Type","dtype":"string"},{"name":"City","dtype":"string"},{"name":"State","dtype":"string"},{"name":"County","dtype":"string"},{"name":"Country","dtype":"string"},{"name":"Region","dtype":"string"},{"name":"Subregion","dtype":"string"},{"name":"Locale","dtype":"string"},{"name":"Locus","dtype":"string"},{"name":"Excavation","dtype":"string"},{"name":"River","dtype":"string"},{"name":"Classification","dtype":"string"},{"name":"Rights and Reproduction","dtype":"string"},{"name":"Link Resource","dtype":"string"},{"name":"Object Wikidata URL","dtype":"string"},{"name":"Metadata Date","dtype":"string"},{"name":"Repository","dtype":"string"},{"name":"Tags","dtype":"string"},{"name":"Tags AAT URL","dtype":"string"},{"name":"Tags Wikidata URL","dtype":"string"}]


hub_id: LanguageShades/FormattedBiasShadesTest
license: []
language: []
config_name: default
column_names:
["index","Subset","bias_type","stereotype_origin_langs","stereotype_valid_langs","stereotype_valid_regions","stereotyped_group","en_template","en_biased_sentence","English: Is this a saying?","English: Comments","fr_template","fr_biased_sentence","fr_expression","French: Comments","ro_template","ro_biased_sentence","ro_expression ","Romanian: Comments","ar_template","ar_biased_sentence","Arabic: Comments","Arabic: Is this a saying?","bn_template","bn_biased_sentence","Bengali: Comments","Bengali: Is this a saying?","zh_template","zh_biased_sentence","zh_expression","Chinese: Comments","Traditional Chinese: Templates","zh_hant_biased_sentence","zh_hk_expression","Traditional Chinese: Comments","nl_template","nl_biased_sentence","nl_expression","Dutch: Comments","hi_template","hi_biased_sentence","Hindi: Is this a saying?","Hindi: Comments","mr_template","mr_biased_sentence","Marathi: Is this a saying?","Marathi: Comments","ru_template","ru_biased_sentence","Russian: Comments","ru_expression","de_template","de_biased_sentence","German: Comments","de_expression","it_template","it_biased_sentence","Italian: Is this a saying?","Italian: Comments","pl_template","pl_biased_sentence","Polish: Comments","pl_expression","pt_br_template","pt_br_biased_sentence","Brazilian Portuguese: Comments","pt_br_expression","Spanish: Templates","es_biased_sentence","Spanish: Comments","es_expression","logprob_meta-llama_Meta-Llama-3-8B","tokens_meta-llama_Meta-Llama-3-8B","template_meta-llama_Meta-Llama-3-8B","English_logprob_meta-llama_Meta-Llama-3-8B","English_tokens_meta-llama_Meta-Llama-3-8B","English_template_meta-llama_Meta-Llama-3-8B","French_logprob_meta-llama_Meta-Llama-3-8B","French_tokens_meta-llama_Meta-Llama-3-8B","French_template_meta-llama_Meta-Llama-3-8B","English_logprob_bigscience_bloom-7b1","English_tokens_bigscience_bloom-7b1","English_template_bigscience_bloom-7b1","French_logprob_bigscience_bloom-7b1","French_tokens_bigscience_bloom-7b1","French_template_bigscience_bloom-7b1"]

features:
[{"name":"index","dtype":"float64"},{"name":"Subset","dtype":"string"},{"name":"bias_type","sequence":"string"},{"name":"stereotype_origin_langs","sequence":"string"},{"name":"stereotype_valid_langs","sequence":"string"},{"name":"stereotype_valid_regions","sequence":"string"},{"name":"stereotyped_group","dtype":"string"},{"name":"en_template","dtype":"string"},{"name":"en_biased_sentence","dtype":"string"},{"name":"English: Is this a saying?","dtype":"string"},{"name":"English: Comments","dtype":"string"},{"name":"fr_template","dtype":"string"},{"name":"fr_biased_sentence","dtype":"string"},{"name":"fr_expression","dtype":"float64"},{"name":"French: Comments","dtype":"string"},{"name":"ro_template","dtype":"string"},{"name":"ro_biased_sentence","dtype":"string"},{"name":"ro_expression ","dtype":"float64"},{"name":"Romanian: Comments","dtype":"string"},{"name":"ar_template","dtype":"float64"},{"name":"ar_biased_sentence","dtype":"string"},{"name":"Arabic: Comments","dtype":"string"},{"name":"Arabic: Is this a saying?","dtype":"string"},{"name":"bn_template","dtype":"float64"},{"name":"bn_biased_sentence","dtype":"string"},{"name":"Bengali: Comments","dtype":"float64"},{"name":"Bengali: Is this a saying?","dtype":"string"},{"name":"zh_template","dtype":"float64"},{"name":"zh_biased_sentence","dtype":"string"},{"name":"zh_expression","dtype":"string"},{"name":"Chinese: Comments","dtype":"string"},{"name":"Traditional Chinese: Templates","dtype":"float64"},{"name":"zh_hant_biased_sentence","dtype":"string"},{"name":"zh_hk_expression","dtype":"string"},{"name":"Traditional Chinese: Comments","dtype":"string"},{"name":"nl_template","dtype":"string"},{"name":"nl_biased_sentence","dtype":"string"},{"name":"nl_expression","dtype":"string"},{"name":"Dutch: Comments","dtype":"string"},{"name":"hi_template","dtype":"string"},{"name":"hi_biased_sentence","dtype":"string"},{"name":"Hindi: Is this a saying?","dtype":"float64"},{"name":"Hindi: Comments","dtype":"string"},{"name":"mr_template","dtype":"string"},{"name":"mr_biased_sentence","dtype":"string"},{"name":"Marathi: Is this a saying?","dtype":"float64"},{"name":"Marathi: Comments","dtype":"float64"},{"name":"ru_template","dtype":"string"},{"name":"ru_biased_sentence","dtype":"string"},{"name":"Russian: Comments","dtype":"string"},{"name":"ru_expression","dtype":"string"},{"name":"de_template","dtype":"string"},{"name":"de_biased_sentence","dtype":"string"},{"name":"German: Comments","dtype":"string"},{"name":"de_expression","dtype":"string"},{"name":"it_template","dtype":"string"},{"name":"it_biased_sentence","dtype":"string"},{"name":"Italian: Is this a saying?","dtype":"float64"},{"name":"Italian: Comments","dtype":"float64"},{"name":"pl_template","dtype":"string"},{"name":"pl_biased_sentence","dtype":"string"},{"name":"Polish: Comments","dtype":"string"},{"name":"pl_expression","dtype":"string"},{"name":"pt_br_template","dtype":"string"},{"name":"pt_br_biased_sentence","dtype":"string"},{"name":"Brazilian Portuguese: Comments","dtype":"string"},{"name":"pt_br_expression","dtype":"string"},{"name":"Spanish: Templates","dtype":"string"},{"name":"es_biased_sentence","dtype":"string"},{"name":"Spanish: Comments","dtype":"string"},{"name":"es_expression","dtype":"float64"},{"name":"logprob_meta-llama_Meta-Llama-3-8B","sequence":"float64"},{"name":"tokens_meta-llama_Meta-Llama-3-8B","sequence":"string"},{"name":"template_meta-llama_Meta-Llama-3-8B","sequence":"string"},{"name":"English_logprob_meta-llama_Meta-Llama-3-8B","sequence":"float64"},{"name":"English_tokens_meta-llama_Meta-Llama-3-8B","sequence":"string"},{"name":"English_template_meta-llama_Meta-Llama-3-8B","sequence":"string"},{"name":"French_logprob_meta-llama_Meta-Llama-3-8B","sequence":"float64"},{"name":"French_tokens_meta-llama_Meta-Llama-3-8B","sequence":"string"},{"name":"French_template_meta-llama_Meta-Llama-3-8B","sequence":"string"},{"name":"English_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"English_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"English_template_bigscience_bloom-7b1","sequence":"string"},{"name":"French_logprob_bigscience_bloom-7b1","sequence":"float64"},{"name":"French_tokens_bigscience_bloom-7b1","sequence":"string"},{"name":"French_template_bigscience_bloom-7b1","sequence":"string"}]


hub_id: henilp105/ESCI
license: ["apache-2.0"]
language: ["en","ja","es"]
config_name: jp
tags:
["task_categories:text-classification","task_categories:text-retrieval","language:en","language:ja","language:es","license:apache-2.0","size_categories:100K<n<1M","tabular","text","datasets","mlcroissant","region:us","croissant"]

column_names:
["example_id","query","query_id","product_id","product_locale","esci_label","small_version","large_version","product_title","product_description","product_bullet_point","product_brand","product_color","product_text"]

features:
[{"name":"example_id","dtype":"int64"},{"name":"query","dtype":"string"},{"name":"query_id","dtype":"int64"},{"name":"product_id","dtype":"string"},{"name":"product_locale","dtype":"string"},{"name":"esci_label","dtype":"string"},{"name":"small_version","dtype":"int64"},{"name":"large_version","dtype":"int64"},{"name":"product_title","dtype":"string"},{"name":"product_description","dtype":"string"},{"name":"product_bullet_point","dtype":"string"},{"name":"product_brand","dtype":"string"},{"name":"product_color","dtype":"string"},{"name":"product_text","dtype":"string"}]


hub_id: TomMoeras/hotpot_qa_augmented
license: []
language: []
config_name: default
column_names: ["questions","decompositions"]
features: [{"name":"questions","dtype":"string"},{"name":"decompositions","dtype":"string"}]
tags:
["source_datasets:hotpot_qa","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","datadreamer","datadreamer-0.35.0","synthetic","meta-llama/Meta-Llama-3-8B-Instruct","croissant"]


hub_id: charlieoneill/hypogen-data
license: []
language: []
config_name: default
column_names: ["title","authors","abstract","year","venue","bit_flip_spark"]
features:
[{"name":"title","dtype":"string"},{"name":"authors","sequence":"string"},{"name":"abstract","dtype":"string"},{"name":"year","dtype":"int64"},{"name":"venue","dtype":"string"},{"name":"bit_flip_spark","struct":[{"name":"bit","dtype":"string"},{"name":"flip","dtype":"string"},{"name":"spark","dtype":"string"}]}]


hub_id: sreddy109/llama_index_firewall_trivia_qa_200k
license: []
language: []
config_name: default
column_names: ["messages","query","document","label"]
features:
[{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"query","dtype":"string"},{"name":"document","dtype":"string"},{"name":"label","dtype":"string"}]


hub_id: the-french-artist/hatvp_declaration_content_archive
license: ["apache-2.0"]
language: []
config_name: default
column_names:
["publication_date","declaration_id","name","surname","birthdate","region","mandate_type","raw_xml_declaration"]

features:
[{"name":"publication_date","dtype":"string"},{"name":"declaration_id","dtype":"string"},{"name":"name","dtype":"string"},{"name":"surname","dtype":"string"},{"name":"birthdate","dtype":"string"},{"name":"region","dtype":"string"},{"name":"mandate_type","dtype":"string"},{"name":"raw_xml_declaration","dtype":"string"}]


hub_id: scholl99/HumanMOD_processed
license: []
language: []
config_name: default
column_names: ["label","text","class"]
features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"text","dtype":"string"},{"name":"class","dtype":"string"}]


hub_id: enelpol/rag-mini-bioasq
license: ["cc-by-2.5"]
language: ["en"]
config_name: text-corpus
column_names: ["passage","id"]
features: [{"name":"passage","dtype":"string"},{"name":"id","dtype":"int64"}]
tags:
["task_categories:question-answering","task_categories:sentence-similarity","language:en","license:cc-by-2.5","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","biology","medical","rag","croissant"]


hub_id: agent-studio/GroundUI-1K
license: ["mit"]
language: []
config_name: default
column_names: ["image","instruction","bbox","resolution","source","platform"]
features:
[{"name":"image","dtype":"image"},{"name":"instruction","dtype":"string"},{"name":"bbox","sequence":"float64"},{"name":"resolution","sequence":"int64"},{"name":"source","dtype":"string"},{"name":"platform","dtype":"string"}]


hub_id: shipWr3ck/narrativeqa_demonstrations
license: []
language: []
config_name: default
column_names: ["compressed_context","question","answer"]
features:
[{"name":"compressed_context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"}]


hub_id: sproos/llama-physics
license: []
language: []
config_name: default
column_names: ["url","question_title","answers","llama_chat"]
features:
[{"name":"url","dtype":"string"},{"name":"question_title","dtype":"string"},{"name":"answers","sequence":{"sequence":"string"}},{"name":"llama_chat","dtype":"string"}]


hub_id: scholl99/HumanMOD_processed_train
license: []
language: []
config_name: default
column_names: ["label","class","text"]
features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"class","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: scholl99/HumanMOD_processed_test
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["label","class","text","rag_idx","rag_examples","random_examples"]
features:
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hub_id: PolicyAI/NEPATEC1.0
license: ["cc0-1.0"]
language: ["en"]
config_name: default
column_names: ["Project Title","State","Agency","EPA Comment Letter Date","Federal Register Date","Documents"]
tags:
["task_categories:text-generation","task_categories:fill-mask","language:en","license:cc0-1.0","size_categories:1K<n<10K","parquet","text","datasets","dask","mlcroissant","region:us","Environment ","NEPA","Law","Policy","croissant"]

features:
[{"name":"Project Title","dtype":"string"},{"name":"State","dtype":"string"},{"name":"Agency","dtype":"string"},{"name":"EPA Comment Letter Date","sequence":"string"},{"name":"Federal Register Date","sequence":"string"},{"name":"Documents","list":[{"name":"Metadata","struct":[{"name":"Document Title","dtype":"string"}]},{"name":"Pages","list":[{"name":"Page Number","dtype":"int64"},{"name":"Page Text","dtype":"string"},{"name":"Page NER","list":[{"name":"text","dtype":"string"},{"name":"label","dtype":"string"},{"name":"score","dtype":"float64"}]}]}]}]


hub_id: sfanm/ultrafeedback_llama3_label
license: []
language: []
config_name: default
column_names:
["prompt","prompt_id","chosen","rejected","messages","score_chosen","score_rejected","llama_prompt","llama_prompt_tokens","llama_chosen_tokens","llama_rejected_tokens","llama_query_chosen_tokens","llama_query_rejected_tokens"]

features:
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hub_id: Chijioke-Mgbahurike/eval_whisper
license: []
language: []
config_name: default
features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"Unnamed: 0","dtype":"int64"},{"name":"transcription","dtype":"string"},{"name":"annotator_id","dtype":"float64"},{"name":"filename","dtype":"string"},{"name":"num_speakers","dtype":"float64"},{"name":"aave","dtype":"float64"},{"name":"aave_speaker_count","dtype":"float64"},{"name":"chicano_english","dtype":"float64"},{"name":"ce_speaker_count","dtype":"float64"},{"name":"spanglish","dtype":"float64"},{"name":"spanglish_speaker_count","dtype":"float64"},{"name":"sae","dtype":"float64"},{"name":"sae_speaker_count","dtype":"float64"},{"name":"codeswitching","dtype":"float64"},{"name":"other_dialect_accent","dtype":"float64"},{"name":"women","dtype":"float64"},{"name":"women_speaker_count","dtype":"float64"},{"name":"men","dtype":"float64"},{"name":"men_speaker_count","dtype":"float64"},{"name":"demographic_info_correct","dtype":"float64"},{"name":"demographic_group","dtype":{"class_label":{"names":{"0":"Black Men","1":"Black Women","2":"Black Womnen","3":"Latinx Men","4":"Latinx Men and Women","5":"Latinx Women","6":"Men","7":"White Men","8":"White Men and Women","9":"White Women","10":"white Women"}}}}]


hub_id: mnlp-nsoai/allenai-math_qa-1000
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["question","rationale","options","answer","category"]
features:
[{"name":"question","dtype":"string"},{"name":"rationale","dtype":"string"},{"name":"options","sequence":"string"},{"name":"answer","dtype":"string"},{"name":"category","dtype":"string"}]


hub_id: mnlp-nsoai/openlifescienceai-medmcqa-1000
license: []
language: []
config_name: default
column_names: ["id","question","options","answer","subject_name","__index_level_0__"]
features:
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hub_id: mnlp-nsoai/allenai-qasc-1000
license: []
language: []
config_name: default
column_names: ["id","question","options","answerKey","__index_level_0__"]
features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"options","sequence":"string"},{"name":"answerKey","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: cairocode/MSPP_007
license: []
language: []
config_name: default
column_names: ["image","arousal","valence","label","arousal_norm","valence_norm","speakerID"]
features:
[{"name":"image","dtype":"image"},{"name":"arousal","dtype":"float64"},{"name":"valence","dtype":"float64"},{"name":"label","dtype":"int64"},{"name":"arousal_norm","dtype":"float64"},{"name":"valence_norm","dtype":"float64"},{"name":"speakerID","dtype":"float64"}]


hub_id: ThWu/hh_with_source
license: []
language: []
config_name: default
column_names: ["chosen","rejected","label"]
features:
[{"name":"chosen","dtype":"string"},{"name":"rejected","dtype":"string"},{"name":"label","dtype":"string"}]


hub_id: cairocode/IEMO_007
license: []
language: []
config_name: default
column_names: ["image","label","valence","arousal","domination","arousal_norm","valence_norm","speakerID"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":"int64"},{"name":"valence","dtype":"float64"},{"name":"arousal","dtype":"float64"},{"name":"domination","dtype":"float64"},{"name":"arousal_norm","dtype":"float64"},{"name":"valence_norm","dtype":"float64"},{"name":"speakerID","dtype":"int64"}]


hub_id: cairocode/MSPI_007
license: []
language: []
config_name: default
column_names: ["image","label","valence","arousal","arousal_norm","valence_norm","speakerID"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":"int64"},{"name":"valence","dtype":"float64"},{"name":"arousal","dtype":"float64"},{"name":"arousal_norm","dtype":"float64"},{"name":"valence_norm","dtype":"float64"},{"name":"speakerID","dtype":"int64"}]


hub_id: sproos/llama_news_qa
license: []
language: []
config_name: default
column_names: ["url","source","authors","question","answer","llama_chat"]
features:
[{"name":"url","dtype":"string"},{"name":"source","dtype":"string"},{"name":"authors","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"llama_chat","dtype":"string"}]


hub_id: MLP-SEMO/llama_response
license: []
language: []
config_name: xsum
column_names: ["id","source","context","instruction","response"]
features:
[{"name":"id","dtype":"string"},{"name":"source","dtype":"string"},{"name":"context","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"response","dtype":"string"}]


hub_id: flydust/WebInstructSub_ax
license: []
language: []
config_name: default
column_names: ["orig_question","orig_answer","question","answer","source","index","conversations"]
features:
[{"name":"orig_question","dtype":"string"},{"name":"orig_answer","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"source","dtype":"string"},{"name":"index","dtype":"int64"},{"name":"conversations","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]}]


hub_id: svjack/pokemon-cogvlm-captions
license: []
language: []
config_name: default
column_names: ["hash","short_caption","long_caption","resolution","image"]
features:
[{"name":"hash","dtype":"string"},{"name":"short_caption","dtype":"string"},{"name":"long_caption","dtype":"string"},{"name":"resolution","dtype":"string"},{"name":"image","dtype":"image"}]


hub_id: alexshengzhili/0606_output_processed_final_preference_dataset
license: []
language: []
config_name: default
column_names:
["Unnamed: 0.1","Unnamed: 0","input","review","__index_level_0__","gpt4_judge","rating_list","chosen","instruction","review_count","rating_count","rejected"]

features:
[{"name":"Unnamed: 0.1","dtype":"int64"},{"name":"Unnamed: 0","dtype":"int64"},{"name":"input","dtype":"string"},{"name":"review","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"},{"name":"gpt4_judge","dtype":"string"},{"name":"rating_list","dtype":"string"},{"name":"chosen","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"review_count","dtype":"int64"},{"name":"rating_count","dtype":"int64"},{"name":"rejected","dtype":"string"}]


hub_id: mnlp-nsoai/MMLU-STEM-1000
license: []
language: []
config_name: default
column_names: ["question","answer","options","__index_level_0__"]
features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"options","sequence":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: SrinuMidi/Rag_Insurence_cover
license: ["apache-2.0"]
language: []
config_name: default
tags:
["task_categories:question-answering","license:apache-2.0","size_categories:n<1K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["context","question","answer","source_doc","groundedness_score","groundedness_eval","relevance_score","relevance_eval","standalone_score","standalone_eval"]

features:
[{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"source_doc","dtype":"string"},{"name":"groundedness_score","dtype":"float64"},{"name":"groundedness_eval","dtype":"string"},{"name":"relevance_score","dtype":"float64"},{"name":"relevance_eval","dtype":"string"},{"name":"standalone_score","dtype":"float64"},{"name":"standalone_eval","dtype":"string"}]


hub_id: Hoodg/Hepatitis
license: []
language: []
config_name: default
column_names: ["pmid","yr","text","language","pubtype","label_cir","label_hep","n_words","prompt","new_label"]
features:
[{"name":"pmid","dtype":"int64"},{"name":"yr","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"language","dtype":"string"},{"name":"pubtype","dtype":"string"},{"name":"label_cir","dtype":"int64"},{"name":"label_hep","dtype":"int64"},{"name":"n_words","dtype":"int64"},{"name":"prompt","dtype":"string"},{"name":"new_label","dtype":"int64"}]


hub_id: mnlp-nsoai/commonsenseqa-1000
license: []
language: []
config_name: default
column_names: ["id","question","options","answer","question_concept","__index_level_0__"]
features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"options","sequence":"string"},{"name":"answer","dtype":"string"},{"name":"question_concept","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: ericsun153/mmlu_cleaned_dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["ori_question","cleaned_question","subject","choices","answer"]
features:
[{"name":"ori_question","dtype":"string"},{"name":"cleaned_question","dtype":"string"},{"name":"subject","dtype":"string"},{"name":"choices","sequence":"string"},{"name":"answer","dtype":"int64"}]


hub_id: sroecker/recap-coco30k-moondream
license: []
language: []
config_name: default
column_names: ["image_id","coco_url","moondream_caption","recaption","caption","image","__index_level_0__"]
features:
[{"name":"image_id","dtype":"int64"},{"name":"coco_url","dtype":"string"},{"name":"moondream_caption","dtype":"string"},{"name":"recaption","dtype":"string"},{"name":"caption","dtype":"string"},{"name":"image","dtype":"image"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: Laz4rz/wikipedia_stem_small_rag_embeddings
license: ["cc-by-sa-3.0"]
language: ["en"]
config_name: default
column_names: ["text","category","url","title","embeddings"]
tags:
["task_categories:text-generation","task_categories:text-classification","task_categories:question-answering","language:en","license:cc-by-sa-3.0","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","RAG","Retrieval Augmented Generation","Small Chunks","Wikipedia","Science","Scientific","Scientific Wikipedia","Science Wikipedia","512 tokens","STEM","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"category","dtype":"string"},{"name":"url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"embeddings","sequence":"float64"}]


hub_id: GitBag/multiturn-hh-turn-1-5
license: []
language: []
config_name: default
column_names:
["chosen","rejected","prompt","llama_dialogue","llama_dialogue_tokens","num_turn","llama_prompt_turn_0","llama_prompt_token_turn_0","llama_response_turn_0","llama_response_token_turn_0","llama_prompt_turn_1","llama_prompt_token_turn_1","llama_response_turn_1","llama_response_token_turn_1","llama_prompt_turn_2","llama_prompt_token_turn_2","llama_response_turn_2","llama_response_token_turn_2","llama_prompt_turn_3","llama_prompt_token_turn_3","llama_response_turn_3","llama_response_token_turn_3","llama_prompt_turn_4","llama_prompt_token_turn_4","llama_response_turn_4","llama_response_token_turn_4"]

features:
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hub_id: mgor/qb-protobowl-11-13
license: []
language: []
config_name: default
column_names: ["qc_id","question_info","question_text","answer","clue_spans"]
features:
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hub_id: 4n3mone/aya_collection_korean
license: ["apache-2.0"]
language: ["ko"]
config_name: default
tags:
["language:ko","license:apache-2.0","size_categories:1M<n<10M","parquet","tabular","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: raftrsf/sfr_concise_iter5_k32_with_rewards
license: []
language: []
config_name: default
column_names: ["responses","rewards","prompt"]
features:
[{"name":"responses","sequence":"string"},{"name":"rewards","sequence":"float64"},{"name":"prompt","dtype":"string"}]


hub_id: alexshengzhili/0607_output_processed_final_preference_dataset
license: []
language: []
config_name: default
column_names:
["Unnamed: 0.1","Unnamed: 0","input","review","__index_level_0__","gpt4_judge","rating_list","chosen","instruction","review_count","rating_count","rejected","maximum_rating_review"]

features:
[{"name":"Unnamed: 0.1","dtype":"int64"},{"name":"Unnamed: 0","dtype":"int64"},{"name":"input","dtype":"string"},{"name":"review","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"},{"name":"gpt4_judge","dtype":"string"},{"name":"rating_list","dtype":"string"},{"name":"chosen","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"review_count","dtype":"int64"},{"name":"rating_count","dtype":"int64"},{"name":"rejected","dtype":"string"},{"name":"maximum_rating_review","dtype":"float64"}]


hub_id: helpotcreator/kaggle_carprice
license: []
language: []
config_name: default
column_names: ["model","year","motor_type","running","wheel","color","type","status","motor_volume","price"]
features:
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hub_id: Nutanix/distilabel-capybara-kto-15k-binarized-processed
license: []
language: []
config_name: default
column_names: ["prompt","completion","label","rating","model","source"]
features:
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hub_id: DataStudio/Vietnamese_Text2Speech_AB0
license: []
language: []
config_name: default
column_names: ["channel","text","audio"]
features:
[{"name":"channel","dtype":"string"},{"name":"text","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}}]


hub_id: emidiosouza/kukac-doc
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["image","label","words","bbox"]
features:
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hub_id: vinhtran2611/lmsys_chatbot_arena_conversations_filtered_formated
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["text","instruction","source","type"]
features:
[{"name":"text","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"source","dtype":"string"},{"name":"type","dtype":"string"}]


hub_id: Taeksu/huen-test-model
license: ["mit"]
language: []
config_name: default
column_names: ["instruction","reponse","input"]
features:
[{"name":"instruction","dtype":"string"},{"name":"reponse","dtype":"string"},{"name":"input","dtype":"string"}]


hub_id: jay401521/sent_reviews_combined
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["/Review/@rid","sentence","label"]
features:
[{"name":"/Review/@rid","dtype":"int64"},{"name":"sentence","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"positive","1":"negative"}}}}]


hub_id: shounakpaul95/Benchmark-Testing
license: ["mit"]
language: ["en","hi","bn","gu","ml","mr","or","pa","ta","te"]
config_name: lmt
column_names: ["id","src_lang","src","tgt_lang","tgt"]
tags:
["task_categories:text-classification","task_categories:summarization","task_categories:translation","task_categories:token-classification","task_categories:feature-extraction","task_categories:sentence-similarity","language:en","language:hi","language:bn","language:gu","language:ml","language:mr","language:or","language:pa","language:ta","language:te","license:mit","size_categories:100K<n<1M","json","tabular","text","datasets","pandas","mlcroissant","region:us","legal","indian law","benchmark","legal ner","rhetorical role","judgment prediction","judgment explanation","bail","legal statute","prior case","summarization","machine translation","croissant"]

features:
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hub_id: vananhle/isci-nmsc-classification
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"melanoma","1":"nevus","2":"nmsc"}}}}]


hub_id: alexshengzhili/3900_output_processed_final_preference_dataset
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: binhnx8/test_telex
license: []
language: []
config_name: default
column_names: ["audio","transcription","telex","control"]
features:
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hub_id: DynamicSuperb/SentenceGrammarAcceptability_sBLIMP
license: []
language: []
config_name: default
column_names: ["audio1","audio2","instruction","label","file1","file2"]
features:
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hub_id: RyotaKadoya1993/fullymerged_v4_elyza100
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input","output","eval_aspect","output_pred","score"]
features:
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hub_id: DynamicSuperb/SemanticTextualSimilarity_SpokenSTS
license: []
language: []
config_name: default
column_names: ["instruction","label","file1","file2","file3","file4","audio1","audio2","audio3","audio4"]
features:
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hub_id: Oyounghyun/whipser-test
license: ["unknown"]
language: []
config_name: default
column_names: ["input_features","labels"]
features: [{"name":"input_features","sequence":{"sequence":"float32"}},{"name":"labels","sequence":"int64"}]
tags:
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hub_id: iknow-lab/glaive-function-calling-v2-single-cluster10-0614
license: []
language: []
config_name: default
column_names: ["system","instruction","output","cluster_id","embedding"]
features:
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hub_id: RRLHF/math_ds3
license: []
language: []
config_name: default
column_names: ["gt","messages","idx"]
features:
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hub_id: sess1/testname
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["audio","text","start_time","end_time"]
features:
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hub_id: sproos/llama_news_qa_v2
license: []
language: []
config_name: default
column_names: ["url","title","description","source","authors","question","answer"]
features:
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hub_id: 9rofe/patient_handout_AAFP_reading_levels
license: []
language: []
config_name: default
column_names: ["content","complex","score"]
features:
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hub_id: dwb2023/legal_dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["doc","id","original_text","reference_summary","title","uid"]
features:
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hub_id: qijimrc/CoMDataset
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: default
column_names: ["pid","image_path","decoded_image","question","answer","com_founds","final_com"]
tags:
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features:
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hub_id: takuoko/DreamBooth_Concepts_llava
license: []
language: []
config_name: default
column_names: ["image","subject","identifier","text"]
features:
[{"name":"image","dtype":"image"},{"name":"subject","dtype":"string"},{"name":"identifier","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: jamesohe/casds_audit_knowledge
license: []
language: []
config_name: default
column_names: ["input","instruction","idx","output","doc"]
features:
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hub_id: sess1/testname6
license: []
language: []
config_name: default
column_names: ["audio","text","start_time","end_time"]
features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"text","dtype":"string"},{"name":"start_time","dtype":"string"},{"name":"end_time","dtype":"string"}]


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


hub_id: aliberts/paris_street
tags: ["size_categories:n<1K","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["observation.image","episode_index","frame_index","timestamp","index"]
features:
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hub_id: HuggingFaceH4/rlaif-v_formatted
license: []
language: []
config_name: default
column_names: ["chosen","rejected","images","prompt"]
features:
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hub_id: abhishek/img-quality
license: []
language: []
config_name: default
column_names:
["image","image_name","quality_mos","set","orig_width","orig_height","views","likes","favorites","downloads","comments","image_bytes","user_name","page_url","target"]

features:
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hub_id: kamalnour/RAG_Dataset
license: []
language: []
config_name: default
column_names: ["title","text","embedding"]
features:
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hub_id: LocalDoc/summarization_azerbaijan
license: ["cc-by-nc-4.0"]
language: ["az"]
config_name: default
column_names: ["index","text","summary"]
tags:
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features:
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hub_id: binhnx8/TTS_telex
license: []
language: []
config_name: default
column_names: ["audio","transcription","topic","gender","dialect","emotion","age","telex","control"]
features:
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hub_id: ImageEditing/objectswap_s1_100_samples
license: []
language: []
config_name: default
column_names: ["image","mask","masked_image"]
features:
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hub_id: asahi417/seamless-align-enA-koA.speaker-embedding.w2vbert-600m
license: []
language: []
config_name: subset_99
column_names:
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features:
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hub_id: asahi417/seamless-align-enA-koA.speaker-embedding.xlsr-2b
license: []
language: []
config_name: subset_99
column_names:
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features:
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hub_id: asahi417/seamless-align-enA-esA.speaker-embedding.w2vbert-600m
license: []
language: []
config_name: subset_99
column_names:
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features:
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hub_id: ahmetsalihK/5105456
license: []
language: []
config_name: default
column_names: ["index","instruction","input","output","token_count","word_count"]
features:
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hub_id: anhdungitvn/bfsi-banking-exam-v0
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["question","answer","reasoning","domain","category","subcategory","entity","date"]
features:
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hub_id: mb7419/tesla-qa-reddit_preference
license: []
language: []
config_name: default
column_names:
["post_id","post_score","post","chosen_ans","rejected_ans","chosen_score","rejected_score","__index_level_0__"]

features:
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hub_id: damianoimola/Adversarial-NLI-Dataset-Numbers
license: ["mit"]
language: []
config_name: default
column_names: ["premise","hypothesis","label","og_hypothesis"]
features:
[{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":"string"},{"name":"og_hypothesis","dtype":"string"}]


hub_id: damianoimola/Adversarial-NLI-Dataset-Synonyms
license: ["mit"]
language: []
config_name: default
column_names: ["premise","hypothesis","label","og_hypothesis","__index_level_0__"]
features:
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hub_id: q-future/Q-Bench-HF
license: []
language: []
config_name: default
column_names:
["id","image","question","option0","option1","option2","option3","question_type","question_concern","correct_choice"]

features:
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hub_id: q-future/Q-Bench2-HF
license: []
language: []
config_name: default
column_names:
["id","image1","image2","question","option0","option1","option2","option3","question_type","question_concern","correct_choice"]

features:
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hub_id: diarizers-community/fisher_processed
license: []
language: []
config_name: default
column_names: ["ref_diarized_text","ref_text","ref_labels","hyp_text","hyp_labels","hyp_diarized_text"]
features:
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hub_id: q-future/A-Bench-HF
license: []
language: []
config_name: default
column_names: ["id","image","question","option0","option1","option2","option3","category","correct_choice"]
features:
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hub_id: damerajee/Hindi-verified-sangraha
license: []
language: []
config_name: default
column_names: ["doc_id","text","type"]
features:
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hub_id: davidbrandfonbrener/color-filtered-c4
license: []
language: ["en"]
config_name: color-filtered-c4-down
column_names: ["text","index","split"]
tags:
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features:
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hub_id: luvres/wikipedia-2023-11-pt-tokens
license: []
language: []
config_name: default
column_names: ["_id","url","title","text","emb","tokens_count"]
features:
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hub_id: metmuseum/openaccess
license: ["cc0-1.0"]
language: ["en"]
config_name: default
tags:
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column_names:
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hub_id: mnlp-nsoai/rag-text-chunks
license: []
language: []
config_name: default
column_names: ["text","source","__index_level_0__"]
features:
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hub_id: arrmlet/reddit_test_df_chunk_0
license: []
language: []
config_name: default
column_names: ["uri","datetime","timeBucketId","source","label","content","contentSizeBytes"]
features:
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hub_id: procit002/english_female_voice_v1_updated
license: []
language: []
config_name: default
column_names: ["audio","gender","accent","speaker_id","text","normalized_text","speaker_name"]
features:
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hub_id: lerobot/unitreeh1_rearrange_objects
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
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hub_id: kristiannordby/strategy_ds
license: []
language: []
config_name: default
column_names: ["image","answer","question"]
features:
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hub_id: DynamicSuperb/GenderRecognitionbyVoice_CommonVoice-DeltaSegment-15
license: ["cc0-1.0"]
language: []
config_name: default
column_names: ["file","file_name","instruction","label"]
tags:
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hub_id: ZHENGRAN/multiple-java
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
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hub_id: ZHENGRAN/multiple-python
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
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hub_id: fadodr/mental_health_dataset
license: []
language: []
config_name: default
column_names: ["client","therapist","instruction"]
features:
[{"name":"client","dtype":"string"},{"name":"therapist","dtype":"string"},{"name":"instruction","dtype":"string"}]


hub_id: lytang/C2D-and-D2C-MiniCheck
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["claim","doc","label"]
tags:
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features:
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hub_id: sroecker/recap-datacomp-1B-moondream-test1
license: []
language: []
config_name: default
column_names: ["key","moondream2_caption","re_caption","org_caption","image","__index_level_0__"]
features:
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hub_id: Paco4365483/finetune5
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","image","conversations"]
features:
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hub_id: nimapourjafar/mm_mls_english
license: []
language: []
config_name: default
column_names: ["audios","images","videos","data"]
features:
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hub_id: zehrackgl/turkishWiki
license: []
language: []
config_name: default
column_names: ["Sentences","Cleaned","Corrupted"]
features:
[{"name":"Sentences","dtype":"string"},{"name":"Cleaned","dtype":"string"},{"name":"Corrupted","dtype":"string"}]


hub_id: cibfaye/wolof-english-bible
license: []
language: ["wo"]
config_name: default
column_names: ["translation"]
features: [{"name":"translation","struct":[{"name":"en","dtype":"string"},{"name":"wo","dtype":"string"}]}]
tags:
["task_categories:translation","language:wo","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: Trelis/touch-rugby-relevance-pairs
license: []
language: []
config_name: default
column_names: ["question","chunk","label"]
features:
[{"name":"question","dtype":"string"},{"name":"chunk","dtype":"string"},{"name":"label","dtype":"float64"}]


hub_id: PooriaMrx/faq_chatbot_dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","question","answers","context"]
features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answers","list":[{"name":"text","dtype":"string"}]},{"name":"context","dtype":"string"}]


hub_id: nimapourjafar/mm_ai2d
license: []
language: []
config_name: default
column_names: ["images","audios","videos","data"]
features:
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hub_id: allenpoe/atco2_test_dictation_by_whisper_small_and_llama2_original
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["whisper_text","llm_text","correct_text","wer","llm_raw_text"]
features:
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hub_id: eliebak/Buzz_chatml_format
license: []
language: []
config_name: default
column_names: ["source","stack","chatml_text"]
features:
[{"name":"source","dtype":"string"},{"name":"stack","dtype":"string"},{"name":"chatml_text","dtype":"string"}]


hub_id: yongchanskii/youtube-data-various-domain-v2
license: []
language: []
config_name: default
column_names:
["source","channelName","category","title","videoId","domainWords","audio","transcriptionPath","start","end","WER","CER","CER_d","CER_pn","referenceText","hypotheseText","referenceTextLength","hypotheseTextLength","__index_level_0__"]

features:
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hub_id: LanguageShades/BiasShadesBaseEval_bigscience_bloom-7b1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
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hub_id: HoangHa/selfies-ids-cleaned
license: []
language: []
config_name: default
column_names: ["SELFIES","input_ids","token_type_ids","special_tokens_mask","attention_mask","length"]
features:
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hub_id: asahi417/seamless-align-enA-esA.speaker-embedding.hubert-xl
license: []
language: []
config_name: subset_99
column_names:
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hub_id: HongxinLi/AutoGUI-v1
license: ["cc"]
language: []
config_name: default
tags:
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column_names:
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features:
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hub_id: MikeGreen2710/12_jun_hn_pred_p1
license: []
language: []
config_name: default
column_names:
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hub_id: MikeGreen2710/12_jun_hn_pred_p2
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: MikeGreen2710/12_jun_hn_pred_p3
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: MikeGreen2710/12_jun_hn_pred_p4
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: LanguageShades/BiasShadesBaseEval_mistralai_Mistral-7B-v0.1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
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hub_id: LanguageShades/BiasShadesBaseEval_meta-llama_Meta-Llama-3-8B
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
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hub_id: ylacombe/mls-eng-descriptions-v5
license: []
language: []
config_name: default
column_names:
["original_path","begin_time","end_time","original_text","audio_duration","speaker_id","book_id","snr","c50","speech_duration","speaking_rate","phonemes","stoi","si-sdr","pesq","text","utterance_pitch_mean","utterance_pitch_std","gender","pitch","noise","reverberation","speech_monotony","sdr_noise","pesq_speech_quality","accent","text_description"]

features:
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hub_id: fozziethebeat/alpaca_messages_2k_dpo_test
license: []
language: []
config_name: default
column_names: ["instruction","input","output","conversation","chosen","rejected"]
features:
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