# datasets

hub_id: yuvalkirstain/pexel_images_lots_with_generated_captions
license: []
language: []
config_name: default
column_names: ["image","text","generated_caption"]
features:
[{"name":"image","dtype":"image"},{"name":"text","dtype":"string"},{"name":"generated_caption","dtype":"string"}]


hub_id: james-burton/textual-explanations
license: []
language: []
config_name: default
column_names:
["model_name","predicted_class","task_name","narration","values","sign","narrative_id","unique_id","classes_dict","narrative_questions","feature_nums","ft_num2name","old2new_ft_nums","old2new_classes","predicted_class_label","class2name"]

features:
[{"name":"model_name","dtype":"string"},{"name":"predicted_class","dtype":"string"},{"name":"task_name","dtype":"string"},{"name":"narration","dtype":"string"},{"name":"values","sequence":"string"},{"name":"sign","sequence":"string"},{"name":"narrative_id","dtype":"int32"},{"name":"unique_id","dtype":"int32"},{"name":"classes_dict","dtype":"string"},{"name":"narrative_questions","sequence":"string"},{"name":"feature_nums","sequence":"string"},{"name":"ft_num2name","dtype":"string"},{"name":"old2new_ft_nums","dtype":"string"},{"name":"old2new_classes","dtype":"string"},{"name":"predicted_class_label","dtype":"string"},{"name":"class2name","dtype":"string"}]


hub_id: james-burton/text-exp-qa-hard
license: []
language: []
config_name: default
column_names:
["predicted_class","classes_dict","feature_nums","sign","values","question","answer","id","question_id"]

features:
[{"name":"predicted_class","dtype":"string"},{"name":"classes_dict","dtype":"string"},{"name":"feature_nums","sequence":"string"},{"name":"sign","sequence":"string"},{"name":"values","sequence":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"id","dtype":"int32"},{"name":"question_id","dtype":"int32"}]


hub_id: photonsquid/coins-euro
license: ["mit"]
language: []
config_name: default
column_names: ["image","labels"]
tags:
["license:mit","size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"labels","struct":[{"name":"value","dtype":"string"},{"name":"country","dtype":"string"},{"name":"edition","dtype":"string"},{"name":"variant","dtype":"string"}]}]


hub_id: reshinthadith/2048_has_code_filtered_base_code_review_python_based_on_property
license: []
language: []
config_name: default
column_names: ["body","comments","meta_data","question_id","yield","answers"]
features:
[{"name":"body","dtype":"string"},{"name":"comments","list":[{"name":"ContentLicense","dtype":"string"},{"name":"CreationDate","dtype":"string"},{"name":"Id","dtype":"string"},{"name":"Score","dtype":"string"},{"name":"body","dtype":"string"}]},{"name":"meta_data","struct":[{"name":"AcceptedAnswerId","dtype":"string"},{"name":"CommentCount","dtype":"string"},{"name":"ContentLicense","dtype":"string"},{"name":"CreationDate","dtype":"string"},{"name":"Id","dtype":"string"},{"name":"Score","dtype":"string"},{"name":"Tags","sequence":"string"},{"name":"Title","dtype":"string"}]},{"name":"question_id","dtype":"string"},{"name":"yield","dtype":"string"},{"name":"answers","list":[{"name":"body","dtype":"string"},{"name":"comments","list":[{"name":"ContentLicense","dtype":"string"},{"name":"CreationDate","dtype":"string"},{"name":"Id","dtype":"string"},{"name":"Score","dtype":"string"},{"name":"body","dtype":"string"}]},{"name":"meta_data","struct":[{"name":"CommentCount","dtype":"string"},{"name":"ContentLicense","dtype":"string"},{"name":"CreationDate","dtype":"string"},{"name":"Id","dtype":"string"},{"name":"ParentId","dtype":"string"},{"name":"Score","dtype":"string"}]}]}]


hub_id: zpn/GRCh38
tags: ["license:mit","size_categories:100K<n<1M","text","datasets","mlcroissant","region:us","croissant"]
license: ["mit"]
language: []
config_name: default
column_names: ["chr","description","seq","split"]
features:
[{"name":"chr","dtype":"string"},{"name":"description","dtype":"string"},{"name":"seq","dtype":"string"},{"name":"split","dtype":"string"}]


hub_id: kubota/defamation-japanese-twitter
license: ["cc-by-4.0"]
language: ["ja"]
config_name: default
column_names: ["id","target","label","user_id_list"]
tags:
["task_categories:text-classification","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:ja","license:cc-by-4.0","size_categories:1K<n<10K","text","datasets","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"target","sequence":"string"},{"name":"label","sequence":"string"},{"name":"user_id_list","sequence":"int32"}]


hub_id: roa7n/patched_1000_test_p_100_m2_predictions
license: []
language: []
config_name: default
column_names: ["id","sequence_str","label","features","m2_preds"]
tags:
["size_categories:100K<n<1M","parquet","tabular","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"sequence_str","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"features","sequence":"float64"},{"name":"m2_preds","dtype":"float32"}]


hub_id: huggingface-projects/auto-retrain-input-dataset
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"ADONIS","1":"AFRICAN GIANT SWALLOWTAIL","2":"AMERICAN SNOOT"}}}}]


hub_id: ivelin/rico_sca_refexp_synthetic_flat
license: []
language: []
config_name: default
column_names: ["image","image_id","prompt","target_bounding_box"]
features:
[{"name":"image","dtype":"image"},{"name":"image_id","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"target_bounding_box","struct":[{"name":"xmax","dtype":"float64"},{"name":"xmin","dtype":"float64"},{"name":"ymax","dtype":"float64"},{"name":"ymin","dtype":"float64"}]}]


hub_id: jonathan-roberts1/NWPU-RESISC45
license: ["other"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["task_categories:image-classification","task_categories:zero-shot-image-classification","license:other","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":"airplane","1":"airport","2":"baseball diamond","3":"basketball court","4":"beach","5":"bridge","6":"chaparral","7":"church","8":"circular farmland","9":"cloud","10":"commercial area","11":"dense residential","12":"desert","13":"forest","14":"freeway","15":"golf course","16":"ground track field","17":"harbor","18":"industrial area","19":"intersection","20":"island","21":"lake","22":"meadow","23":"medium residential","24":"mobile home park","25":"mountain","26":"overpass","27":"palace","28":"parking lot","29":"railway","30":"railway station","31":"rectangular farmland","32":"river","33":"roundabout","34":"runway","35":"sea ice","36":"ship","37":"snowberg","38":"sparse residential","39":"stadium","40":"storage tank","41":"tennis court","42":"terrace","43":"thermal power station","44":"wetland"}}}}]


hub_id: jonathan-roberts1/SIRI-WHU
license: ["other"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["task_categories:image-classification","task_categories:zero-shot-image-classification","license:other","size_categories:1K<n<10K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"agriculture","1":"commercial","2":"harbor","3":"idle_land","4":"industrial","5":"meadow","6":"overpass","7":"park","8":"pond","9":"residential","10":"river","11":"water"}}}}]


hub_id: ivelin/rico_refexp_combined
license: ["cc"]
language: ["en"]
config_name: default
column_names: ["image","image_id","prompt","target_bounding_box"]
tags:
["task_categories:question-answering","language:en","license:cc","size_categories:100K<n<1M","parquet","image","text","datasets","dask","mlcroissant","region:us","ui refexp","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"image_id","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"target_bounding_box","struct":[{"name":"xmax","dtype":"float64"},{"name":"xmin","dtype":"float64"},{"name":"ymax","dtype":"float64"},{"name":"ymin","dtype":"float64"}]}]


hub_id: Norod78/jojo-stone-ocean-blip-captions-512
license: ["cc-by-nc-sa-4.0"]
language: ["en"]
config_name: default
column_names: ["image","text"]
features: [{"name":"image","dtype":"image"},{"name":"text","dtype":"string"}]
tags:
["language:en","license:cc-by-nc-sa-4.0","size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","region:us","text-to-image","croissant"]


hub_id: j-chim/pii-pile-chunk3-0-50000-tagged
license: []
language: []
config_name: default
column_names: ["texts","meta","scores","avg_score","num_sents","tagged_pii_results"]
features:
[{"name":"texts","sequence":"string"},{"name":"meta","struct":[{"name":"pile_set_name","dtype":"string"}]},{"name":"scores","sequence":"float64"},{"name":"avg_score","dtype":"float64"},{"name":"num_sents","dtype":"int64"},{"name":"tagged_pii_results","list":[{"name":"analysis_explanation","dtype":"null"},{"name":"end","dtype":"int64"},{"name":"entity_type","dtype":"string"},{"name":"recognition_metadata","struct":[{"name":"recognizer_identifier","dtype":"string"},{"name":"recognizer_name","dtype":"string"}]},{"name":"score","dtype":"float64"},{"name":"start","dtype":"int64"}]}]


hub_id: roa7n/patched_1000_test_p_150_m2_embeddings
license: []
language: []
config_name: default
column_names: ["id","sequence_str","label","features"]
features:
[{"name":"id","dtype":"string"},{"name":"sequence_str","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"features","sequence":"float64"}]


hub_id: MohammedNasri/private_common_voice
tags: ["size_categories:10K<n<100K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input_features","input_length","labels"]
features:
[{"name":"input_features","sequence":{"sequence":"float32"}},{"name":"input_length","dtype":"float64"},{"name":"labels","sequence":"int64"}]


hub_id: yhavinga/imdb_dutch
license: ["other"]
language: ["nl","en"]
config_name: plain_text
column_names: ["text","text_en","label"]
tags:
["task_categories:text-classification","task_ids:sentiment-classification","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:multilingual","source_datasets:original","language:nl","language:en","license:other","size_categories:10K<n<100K","text","datasets","mlcroissant","region:us","croissant"]

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


hub_id: KTH/hungarian-single-speaker-tts
license: ["cc0-1.0"]
language: ["hu"]
config_name: default
column_names: ["id","audio","original_text","text","duration"]
tags:
["task_categories:text-to-speech","task_categories:other","annotations_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:hu","license:cc0-1.0","size_categories:1K<n<10K","parquet","audio","text","datasets","dask","mlcroissant","arxiv:1903.11269","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":22050}}},{"name":"original_text","dtype":"string"},{"name":"text","dtype":"string"},{"name":"duration","dtype":"float64"}]


hub_id: dangrebenkin/voxforge-ru-dataset
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["transcription","audio"]
tags:
["license:apache-2.0","size_categories:1K<n<10K","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]

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


hub_id: tasksource/logical-entailment
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["A","B","E","H1","H2","H3","label"]
tags:
["license:apache-2.0","size_categories:100K<n<1M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"A","dtype":"string"},{"name":"B","dtype":"string"},{"name":"E","dtype":"int64"},{"name":"H1","dtype":"int64"},{"name":"H2","dtype":"int64"},{"name":"H3","dtype":"int64"},{"name":"label","dtype":"string"}]


hub_id: p1atdev/pvc
license: ["cc0-1.0"]
language: ["en","ja"]
config_name: tokyofigure
tags:
["language:en","language:ja","license:cc0-1.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["original","title","character","price_value","details","price_unit","id","image_urls","description"]

features:
[{"name":"original","dtype":"string"},{"name":"title","dtype":"string"},{"name":"character","dtype":"string"},{"name":"price_value","dtype":"string"},{"name":"details","struct":[{"name":"JAN\u30b3\u30fc\u30c9","dtype":"string"},{"name":"\u30b5\u30a4\u30ba","dtype":"string"},{"name":"\u30b7\u30ea\u30fc\u30ba","dtype":"string"},{"name":"\u30b9\u30b1\u30fc\u30eb","dtype":"string"},{"name":"\u4f01\u753b\u5354\u529b","dtype":"string"},{"name":"\u4f5c\u5bb6","dtype":"string"},{"name":"\u5236\u4f5c\u5354\u529b","dtype":"string"},{"name":"\u539f\u578b\u5236\u4f5c","dtype":"string"},{"name":"\u5546\u54c1\u30ab\u30c6\u30b4\u30ea","dtype":"string"},{"name":"\u5f69\u8272","dtype":"string"},{"name":"\u767a\u58f2\u5143","dtype":"string"},{"name":"\u767a\u58f2\u6642\u671f","dtype":"string"},{"name":"\u7d20\u6750","dtype":"string"},{"name":"\u8ca9\u58f2\u5143","dtype":"string"}]},{"name":"price_unit","dtype":"string"},{"name":"id","dtype":"string"},{"name":"image_urls","sequence":"string"},{"name":"description","dtype":"string"}]


hub_id: anjalyjayakrishnan/test
license: []
language: ["hi","bgc","kfs","dgo","bhd","gbk","xnr","kfx","mjl","kfo","bfz"]
config_name: bgc
column_names: ["Unnamed","sentence","path"]
tags:
["task_categories:automatic-speech-recognition","multilinguality:multilingual","source_datasets:Snow Mountain","language:hi","language:bgc","language:kfs","language:dgo","language:bhd","language:gbk","language:xnr","language:kfx","language:mjl","language:kfo","language:bfz","size_categories:1K<n<10K","audio","text","datasets","mlcroissant","arxiv:2206.01205","region:us","croissant"]

features:
[{"name":"Unnamed","dtype":"int64"},{"name":"sentence","dtype":"string"},{"name":"path","dtype":"string"}]


hub_id: jbarat/plant_species
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["image","label"]
tags:
["task_categories:image-classification","language:en","license:unknown","size_categories:100K<n<1M","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"aechmea_fasciata","1":"agave_americana","2":"agave_attenuata","3":"agave_tequilana","4":"aglaonema_commutatum","5":"albuca_spiralis","6":"allium_cepa","7":"allium_sativum"}}}}]


hub_id: jrahn/yolochess_deepblue
license: ["gpl-3.0"]
language: []
config_name: default
column_names: ["fen","move","result","eco"]
tags:
["task_categories:text-classification","task_categories:reinforcement-learning","license:gpl-3.0","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","chess","croissant"]

features:
[{"name":"fen","dtype":"string"},{"name":"move","dtype":"string"},{"name":"result","dtype":"string"},{"name":"eco","dtype":"string"}]


hub_id: arefm/third_experiment_data
license: []
language: []
config_name: default
column_names:
["audio","id","texts","noisy_audio_0","noisy_audio_10","noisy_audio_20","noisy_audio_30","noisy_audio_40"]

features:
[{"name":"audio","dtype":"audio"},{"name":"id","dtype":"string"},{"name":"texts","dtype":"string"},{"name":"noisy_audio_0","dtype":"audio"},{"name":"noisy_audio_10","dtype":"audio"},{"name":"noisy_audio_20","dtype":"audio"},{"name":"noisy_audio_30","dtype":"audio"},{"name":"noisy_audio_40","dtype":"audio"}]


hub_id: roa7n/patched_1000_test_p_100_m1_predictions
license: []
language: []
config_name: default
column_names: ["id","sequence_str","label","m1_preds"]
features:
[{"name":"id","dtype":"string"},{"name":"sequence_str","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"m1_preds","dtype":"float32"}]


hub_id: Multimodal-Fatima/Hatefulmemes_train
license: []
language: []
config_name: default
column_names:
["image","text","label","id","clip_tags_ViT_L_14","blip_caption","LLM_Description_gpt3_downstream_tasks_ViT_L_14","clip_tags_LAION_ViT_H_14_2B","blip_caption_beam_5","LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14","LLM_Description_gpt3_downstream_tasks_visual_genome_LAION-ViT-H-14-2B","DETA_detections_deta_swin_large_o365_coco_classes","Attributes_ViT_L_14_descriptors_text_davinci_003_full","Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full"]

features:
[{"name":"image","dtype":"image"},{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"not-hateful","1":"hateful"}}}},{"name":"id","dtype":"int64"},{"name":"clip_tags_ViT_L_14","sequence":"string"},{"name":"blip_caption","dtype":"string"},{"name":"LLM_Description_gpt3_downstream_tasks_ViT_L_14","sequence":"string"},{"name":"clip_tags_LAION_ViT_H_14_2B","sequence":"string"},{"name":"blip_caption_beam_5","dtype":"string"},{"name":"LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14","sequence":"string"},{"name":"LLM_Description_gpt3_downstream_tasks_visual_genome_LAION-ViT-H-14-2B","sequence":"string"},{"name":"DETA_detections_deta_swin_large_o365_coco_classes","list":[{"name":"attribute","dtype":"string"},{"name":"box","sequence":"float32"},{"name":"label","dtype":"string"},{"name":"location","dtype":"string"},{"name":"ratio","dtype":"float32"},{"name":"size","dtype":"string"},{"name":"tag","dtype":"string"}]},{"name":"Attributes_ViT_L_14_descriptors_text_davinci_003_full","sequence":"string"},{"name":"Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full","sequence":"string"}]


hub_id: Multimodal-Fatima/Hatefulmemes_test
license: []
language: []
config_name: default
column_names:
["image","text","label","id","clip_tags_ViT_L_14","LLM_Description_gpt3_downstream_tasks_ViT_L_14","blip_caption","clip_tags_LAION_ViT_H_14_2B","blip_caption_beam_5","LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14","LLM_Description_gpt3_downstream_tasks_visual_genome_LAION-ViT-H-14-2B","DETA_detections_deta_swin_large_o365_coco_classes","DETA_detections_deta_swin_large_o365_coco_classes_caption_module_random","Attributes_ViT_L_14_descriptors_text_davinci_003_full","Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full","clip_tags_ViT_L_14_with_openai","clip_tags_LAION_ViT_H_14_2B_with_openai","blip_caption_topk_50_Salesforce_blip_image_captioning_large_multiple","DETA_detections_deta_swin_large_o365_coco_classes_caption_all_patches_Salesforce_blip_image_captioning_large_","blip_caption_beam_5_Salesforce_blip_image_captioning_large","clip_tags_LAION_ViT_H_14_2B_with_openai_wordnet","blip_caption_5_Salesforce_blip_image_captioning_large_hf","blip_caption_5_Salesforce_blip_image_captioning_large_hf_a meme of","blip_caption_5_Salesforce_blip_image_captioning_large_max_length_30_hf","blip_caption_5_Salesforce_blip_image_captioning_large_max_length_200_hf","blip_caption_5_Salesforce_blip_image_captioning_large_max_length_200_hf_a meme of","blip_caption_False_beams_5_Salesforce_blip_image_captioning_large_max_length_30_hf","blip_caption_beam_False_5_source","blip_caption_False_beams_5_base_capfilt_large_max_length_30_source_a pitcure of ","blip_caption_False_beams_5_base_capfilt_large_max_length_100_source_a pitcure of ","clip_tags_LAION_ViT_H_14_2B_simple_specific","clip_tags_ViT_L_14_simple_specific","clip_tags_LAION_ViT_H_14_2B_laion.pt"]

features:
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hub_id: roa7n/patched_1000_test_p_150_m1_predictions
license: []
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config_name: default
column_names: ["id","sequence_str","label","m1_preds"]
tags:
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hub_id: jlbaker361/mnist_dijkstra_v0.0
license: []
language: []
config_name: default
column_names: ["label","sequence","occurence","split"]
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hub_id: heinrichreimer/health-questions
tags: ["language:en","size_categories:1M<n<10M","region:us","Health","Question Answering"]
license: []
language: ["en"]
config_name: golden
column_names: ["id","text","health_related_label","medical_label"]
features:
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hub_id: bartelds/gos-demo
license: ["cc-by-4.0"]
language: ["gos"]
config_name: default
column_names: ["audio","text"]
features: [{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"text","dtype":"string"}]
tags:
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hub_id: fathyshalab/atis_intents
license: []
language: []
config_name: default
column_names: ["label text","text","label"]
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hub_id: juancopi81/academia
license: []
language: []
config_name: default
column_names: ["CHANNEL_NAME","URL","TITLE","DESCRIPTION","TRANSCRIPTION","SEGMENTS"]
tags:
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hub_id: Rami/utd_reddit.json
tags: ["size_categories:n<1K","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["j52edo"]
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hub_id: SDbiaseval/dataset-identities-v-1.4-colorfulness
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hub_id: indonlp/NusaX-senti
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hub_id: TREC-AToMiC/AToMiC-Qrels-v0.2
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hub_id: juancopi81/yannic_ada_embeddings
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hub_id: marmal88/skin_cancer
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hub_id: Rami/utd_reddit
tags: ["size_categories:n<1K","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]
license: []
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hub_id: indonlp/NusaX-MT
license: ["cc-by-sa-4.0"]
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config_name: default
column_names: ["id","text_1","text_2","text_1_lang","text_2_lang"]
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hub_id: pysentimiento/es_hate_speech
license: []
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config_name: default
column_names: ["id","text","HS","TR","AG"]
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hub_id: pysentimiento/es_sentiment
license: []
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hub_id: yuvalkirstain/PickaPic-ft-ranked
license: []
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config_name: default
column_names: ["image","text","width","height","url"]
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hub_id: Isamu136/oxford_pets_with_l14_emb
license: []
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config_name: default
column_names: ["path","label","dog","image","embeddings"]
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hub_id: WillHeld/blimp
license: []
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config_name: default
column_names:
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hub_id: Oshan/Uniref90_large_temp
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config_name: default
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hub_id: Jsevisal/gesture_pred
license: []
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config_name: default
column_names: ["id","tokens","gestures","label"]
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hub_id: competitions/aiornot
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hub_id: jonathan-roberts1/WHU-RS19
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hub_id: michelecafagna26/hl
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: []
features: []
tags:
["task_categories:image-to-text","task_categories:question-answering","task_categories:zero-shot-classification","task_ids:text-scoring","annotations_creators:crowdsourced","multilinguality:monolingual","language:en","license:apache-2.0","size_categories:10K<n<100K","arxiv:1405.0312","arxiv:2302.12189","region:us"]


hub_id: jonathan-roberts1/RSSCN7
license: ["other"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["task_categories:image-classification","task_categories:zero-shot-image-classification","license:other","size_categories:1K<n<10K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"field","1":"forest","2":"grass","3":"industry","4":"parking","5":"resident","6":"river or lake"}}}}]


hub_id: LIDIA-HESSEN/vencortex-BusinessNewsDataset
license: []
language: []
config_name: default
column_names: ["title","image","text","url","type","context_id","source","date"]
features:
[{"name":"title","dtype":"string"},{"name":"image","dtype":"string"},{"name":"text","dtype":"string"},{"name":"url","dtype":"string"},{"name":"type","dtype":"string"},{"name":"context_id","dtype":"string"},{"name":"source","dtype":"string"},{"name":"date","dtype":"string"}]


hub_id: Rami/FAQ_student_accesiblity_for_UTD
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Question","Answering","URL","Label"]
features:
[{"name":"Question","dtype":"string"},{"name":"Answering","dtype":"string"},{"name":"URL","dtype":"string"},{"name":"Label","dtype":"string"}]


hub_id: IlyaGusev/rulm
license: []
language: ["ru"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["task_categories:text-generation","language:ru","size_categories:1M<n<10M","text","datasets","mlcroissant","region:us","croissant"]


hub_id: WillHeld/demszky_pairs
license: []
language: []
config_name: default
column_names: ["phrase_ID","feature","sentence","feature_present"]
features:
[{"name":"phrase_ID","dtype":"int64"},{"name":"feature","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"feature_present","dtype":"int64"}]


hub_id: svjack/bloom-dialogue-generate-ds-en
license: []
language: []
config_name: default
column_names: ["question","dialogue_text","dialogue","repo","embeddings"]
features:
[{"name":"question","dtype":"string"},{"name":"dialogue_text","dtype":"string"},{"name":"dialogue","sequence":"string"},{"name":"repo","dtype":"string"},{"name":"embeddings","sequence":"float32"}]


hub_id: Multimodal-Fatima/OxfordPets_test_text_davinci_002_Visclues_ns_10
license: []
language: []
config_name: default
column_names: ["id","image","prompt","true_label","raw_prediction","prediction"]
features:
[{"name":"id","dtype":"int64"},{"name":"image","dtype":"image"},{"name":"prompt","dtype":"string"},{"name":"true_label","dtype":"string"},{"name":"raw_prediction","dtype":"string"},{"name":"prediction","dtype":"string"}]


hub_id: chaeso/food_asia_2017
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"100","1":"101","2":"102","3":"103","4":"104","5":"105","6":"106","7":"107","8":"108","9":"109","10":"110","11":"111","12":"112","13":"113","14":"114","15":"115","16":"116","17":"117","18":"118","19":"119","20":"12","21":"120","22":"121","23":"122","24":"123","25":"124","26":"125","27":"126","28":"127","29":"128","30":"129","31":"13","32":"130","33":"131","34":"132","35":"133","36":"134","37":"135","38":"136","39":"137","40":"138","41":"139","42":"14","43":"140","44":"141","45":"142","46":"143","47":"144","48":"145","49":"146","50":"147","51":"148","52":"149","53":"15","54":"150","55":"151","56":"152","57":"153","58":"154","59":"155","60":"156","61":"157","62":"158","63":"159","64":"16","65":"160","66":"161","67":"162","68":"163","69":"164","70":"165","71":"166","72":"167","73":"168","74":"169","75":"17","76":"170","77":"171","78":"172","79":"173","80":"174","81":"175","82":"176","83":"177","84":"178","85":"179","86":"18","87":"180","88":"181","89":"182","90":"183","91":"184","92":"185","93":"186","94":"187","95":"188","96":"189","97":"19","98":"190","99":"191","100":"192","101":"193","102":"194","103":"195","104":"196","105":"197","106":"198","107":"199","108":"20","109":"200","110":"201","111":"202","112":"203","113":"204","114":"205","115":"206","116":"207","117":"208","118":"209","119":"21","120":"210","121":"211","122":"212","123":"213","124":"214","125":"215","126":"216","127":"217","128":"218","129":"219","130":"22","131":"220","132":"221","133":"222","134":"223","135":"224","136":"225","137":"226","138":"227","139":"228","140":"229","141":"23","142":"230","143":"231","144":"232","145":"233","146":"234","147":"235","148":"236","149":"237","150":"238","151":"239","152":"24","153":"240","154":"241","155":"242","156":"243","157":"244","158":"245","159":"246","160":"247","161":"248","162":"249","163":"25","164":"250","165":"251","166":"252","167":"253","168":"254","169":"255","170":"256","171":"26","172":"27","173":"28","174":"29","175":"3","176":"30","177":"31","178":"32","179":"33","180":"34","181":"35","182":"36","183":"37","184":"38","185":"39","186":"4","187":"40","188":"41","189":"42","190":"43","191":"44","192":"45","193":"46","194":"47","195":"48","196":"49","197":"50","198":"51","199":"52","200":"53","201":"54","202":"55","203":"56","204":"57","205":"58","206":"59","207":"60","208":"61","209":"62","210":"63","211":"64","212":"65","213":"66","214":"67","215":"68","216":"69","217":"70","218":"71","219":"72","220":"73","221":"74","222":"75","223":"76","224":"77","225":"78","226":"79","227":"8","228":"80","229":"81","230":"82","231":"83","232":"84","233":"85","234":"86","235":"87","236":"88","237":"89","238":"9","239":"90","240":"91","241":"92","242":"93","243":"94","244":"95","245":"96","246":"97","247":"98","248":"99","249":"beef_currie","250":"bibimbob","251":"donburi","252":"grilled_eel","253":"rice","254":"sushi","255":"tendong"}}}}]


hub_id: tasksource/naturallogic
license: ["apache-2.0"]
language: ["en"]
config_name: default
tags:
["task_categories:text-classification","language:en","license:apache-2.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["original_id "," sent1 "," sent2 "," keyword_before "," relation 1to2 "," pattern "," original_label "," original_genre "," consistent "," formula "," start_ends "," new_label "]

features:
[{"name":"original_id ","dtype":"int64"},{"name":" sent1 ","dtype":"string"},{"name":" sent2 ","dtype":"string"},{"name":" keyword_before ","dtype":"string"},{"name":" relation 1to2 ","dtype":"string"},{"name":" pattern ","dtype":"string"},{"name":" original_label ","dtype":"string"},{"name":" original_genre ","dtype":"string"},{"name":" consistent ","dtype":"bool"},{"name":" formula ","dtype":"string"},{"name":" start_ends ","dtype":"string"},{"name":" new_label ","dtype":"string"}]


hub_id: sanchit-gandhi/concatenated_librispeech
license: []
language: []
config_name: default
column_names: ["audio"]
features: [{"name":"audio","dtype":"audio"}]
tags:
["size_categories:n<1K","parquet","audio","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: jonathan-roberts1/USTC_SmokeRS
license: ["other"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["license:other","size_categories:1K<n<10K","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"cloud","1":"dust","2":"haze","3":"land","4":"seaside","5":"smoke"}}}}]


hub_id: reciprocate/hh_eval_ilql
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["prompt","ilql_hh_125M","ilql_hh_1B","ilql_hh_6B","ilql_hh_20B"]
features:
[{"name":"prompt","dtype":"string"},{"name":"ilql_hh_125M","dtype":"string"},{"name":"ilql_hh_1B","dtype":"string"},{"name":"ilql_hh_6B","dtype":"string"},{"name":"ilql_hh_20B","dtype":"string"}]


hub_id: reciprocate/summarize_eval_ilql
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["prompt","ilql_summarize_125M","ilql_summarize_1B","ilql_summarize_6B","ilql_summarize_20B"]
features:
[{"name":"prompt","dtype":"string"},{"name":"ilql_summarize_125M","dtype":"string"},{"name":"ilql_summarize_1B","dtype":"string"},{"name":"ilql_summarize_6B","dtype":"string"},{"name":"ilql_summarize_20B","dtype":"string"}]


hub_id: Ramos-Ramos/nllb-eng-tgl-12k
license: []
language: []
config_name: default
column_names:
["translation","laser_score","source_sentence_lid","target_sentence_lid","source_sentence_source","source_sentence_url","target_sentence_source","target_sentence_url"]

features:
[{"name":"translation","dtype":{"translation":{"languages":["eng_Latn","tgl_Latn"]}}},{"name":"laser_score","dtype":"float32"},{"name":"source_sentence_lid","dtype":"float32"},{"name":"target_sentence_lid","dtype":"float32"},{"name":"source_sentence_source","dtype":"string"},{"name":"source_sentence_url","dtype":"string"},{"name":"target_sentence_source","dtype":"string"},{"name":"target_sentence_url","dtype":"string"}]


hub_id: connorhoehn/trading_card_display_classification_1_5k_v3
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"grid","1":"solo","2":"spread","3":"stack"}}}}]


hub_id: jonathan-roberts1/PatternNet
license: ["other"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["task_categories:image-classification","task_categories:zero-shot-image-classification","license:other","size_categories:10K<n<100K","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"airplane","1":"baseball field","2":"basketball court","3":"beach","4":"bridge","5":"cemetery","6":"chaparral","7":"christmas tree farm","8":"closed road","9":"coastal mansion","10":"crosswalk","11":"dense residential","12":"ferry terminal","13":"football field","14":"forest","15":"freeway","16":"golf course","17":"harbor","18":"intersection","19":"mobile home park","20":"nursing home","21":"oil gas field","22":"oil well","23":"overpass","24":"parking lot","25":"parking space","26":"railway","27":"river","28":"runway","29":"runway marking","30":"shipping yard","31":"solar panel","32":"sparse residential","33":"storage tank","34":"swimming pool","35":"tennis court","36":"transformer station","37":"wastewater treatment plant"}}}}]


hub_id: Jedalc/imdb_mlm_downsampled
tags: ["size_categories:10K<n<100K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input_ids","attention_mask","word_ids","labels"]
features:
[{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"},{"name":"word_ids","sequence":"int64"},{"name":"labels","sequence":"int64"}]


hub_id: dousey/culture_bleuet
license: ["bsd-3-clause"]
language: []
config_name: default
column_names: ["image","label"]
features: [{"name":"image","dtype":"image"},{"name":"label","dtype":"image"}]
tags:
["license:bsd-3-clause","size_categories:1K<n<10K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: dipesh/Intent-Classification-small
license: []
language: []
config_name: default
column_names: ["text","intent","input_ids","attention_mask","label"]
features:
[{"name":"text","dtype":"string"},{"name":"intent","dtype":"string"},{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"},{"name":"label","dtype":{"class_label":{"names":{"0":"goodbye","1":"volume control","2":"play games","3":"covid cases","4":"open website","5":"tell me joke","6":"play on youtube","7":"places near me","8":"greet and hello hi kind of things, general check in","9":"asking time","10":"asking date","11":"tell me news","12":"asking weather","13":"download youtube video","14":"what can you do","15":"take screenshot","16":"send email","17":"i am bored","18":"click photo","19":"tell me about","20":"send whatsapp message"}}}}]


hub_id: Multimodal-Fatima/Caltech101_with_background_train
license: []
language: []
config_name: default
column_names:
["image","label","id","clip_tags_ViT_L_14","LLM_Description_opt175b_downstream_tasks_ViT_L_14","LLM_Description_gpt3_downstream_tasks_ViT_L_14","blip_caption","LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14","Attributes_ViT_L_14_text_davinci_003_full","Attributes_ViT_L_14_text_davinci_003_caltech101","clip_tags_ViT_L_14_with_openai_classes","clip_tags_ViT_L_14_wo_openai_classes","clip_tags_ViT_L_14_simple_specific","clip_tags_ViT_B_16_simple_specific","clip_tags_ViT_B_16_ensemble_specific","clip_tags_ViT_B_32_simple_specific","clip_tags_ViT_B_32_ensemble_specific","Attributes_ViT_B_16_descriptors_text_davinci_003_full","Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full","clip_tags_LAION_ViT_H_14_2B_simple_specific","clip_tags_LAION_ViT_H_14_2B_ensemble_specific"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"accordion","1":"airplanes","2":"anchor","3":"ant","4":"background google","5":"barrel","6":"bass","7":"beaver","8":"binocular","9":"bonsai","10":"brain","11":"brontosaurus","12":"buddha","13":"butterfly","14":"camera","15":"cannon","16":"car side","17":"ceiling fan","18":"cellphone","19":"chair","20":"chandelier","21":"cougar body","22":"cougar face","23":"crab","24":"crayfish","25":"crocodile","26":"crocodile head","27":"cup","28":"dalmatian","29":"dollar bill","30":"dolphin","31":"dragonfly","32":"electric guitar","33":"elephant","34":"emu","35":"euphonium","36":"ewer","37":"faces","38":"faces easy","39":"ferry","40":"flamingo","41":"flamingo head","42":"garfield","43":"gerenuk","44":"gramophone","45":"grand piano","46":"hawksbill","47":"headphone","48":"hedgehog","49":"helicopter","50":"ibis","51":"inline skate","52":"joshua tree","53":"kangaroo","54":"ketch","55":"lamp","56":"laptop","57":"leopards","58":"llama","59":"lobster","60":"lotus","61":"mandolin","62":"mayfly","63":"menorah","64":"metronome","65":"minaret","66":"motorbikes","67":"nautilus","68":"octopus","69":"okapi","70":"pagoda","71":"panda","72":"pigeon","73":"pizza","74":"platypus","75":"pyramid","76":"revolver","77":"rhino","78":"rooster","79":"saxophone","80":"schooner","81":"scissors","82":"scorpion","83":"sea horse","84":"snoopy","85":"soccer ball","86":"stapler","87":"starfish","88":"stegosaurus","89":"stop sign","90":"strawberry","91":"sunflower","92":"tick","93":"trilobite","94":"umbrella","95":"watch","96":"water lilly","97":"wheelchair","98":"wild cat","99":"windsor chair","100":"wrench","101":"yin yang"}}}},{"name":"id","dtype":"int64"},{"name":"clip_tags_ViT_L_14","sequence":"string"},{"name":"LLM_Description_opt175b_downstream_tasks_ViT_L_14","sequence":"string"},{"name":"LLM_Description_gpt3_downstream_tasks_ViT_L_14","sequence":"string"},{"name":"blip_caption","dtype":"string"},{"name":"LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14","sequence":"string"},{"name":"Attributes_ViT_L_14_text_davinci_003_full","sequence":"string"},{"name":"Attributes_ViT_L_14_text_davinci_003_caltech101","sequence":"string"},{"name":"clip_tags_ViT_L_14_with_openai_classes","sequence":"string"},{"name":"clip_tags_ViT_L_14_wo_openai_classes","sequence":"string"},{"name":"clip_tags_ViT_L_14_simple_specific","dtype":"string"},{"name":"clip_tags_ViT_B_16_simple_specific","dtype":"string"},{"name":"clip_tags_ViT_B_16_ensemble_specific","dtype":"string"},{"name":"clip_tags_ViT_B_32_simple_specific","dtype":"string"},{"name":"clip_tags_ViT_B_32_ensemble_specific","dtype":"string"},{"name":"Attributes_ViT_B_16_descriptors_text_davinci_003_full","sequence":"string"},{"name":"Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full","sequence":"string"},{"name":"clip_tags_LAION_ViT_H_14_2B_simple_specific","dtype":"string"},{"name":"clip_tags_LAION_ViT_H_14_2B_ensemble_specific","dtype":"string"}]


hub_id: Multimodal-Fatima/StanfordCars_train
license: []
language: []
config_name: default
column_names:
["image","label","id","clip_tags_ViT_L_14","LLM_Description_gpt3_downstream_tasks_ViT_L_14","LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14","blip_caption_beam_5","Attributes_ViT_L_14_text_davinci_003_full","Attributes_ViT_L_14_text_davinci_003_stanfordcars","clip_tags_ViT_L_14_with_openai_classes","clip_tags_ViT_L_14_wo_openai_classes","clip_tags_ViT_L_14_simple_specific","clip_tags_ViT_L_14_ensemble_specific","clip_tags_ViT_B_16_simple_specific","clip_tags_ViT_B_16_ensemble_specific","clip_tags_ViT_B_32_ensemble_specific","Attributes_ViT_B_16_descriptors_text_davinci_003_full","Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full","clip_tags_LAION_ViT_H_14_2B_simple_specific","clip_tags_LAION_ViT_H_14_2B_ensemble_specific","Attributes_ViT_L_14_descriptors_text_davinci_003_full"]

features:
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hub_id: Multimodal-Fatima/FGVC_Aircraft_test
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hub_id: navjordj/VG_summarization
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hub_id: yuvalkirstain/PickaPic-ft-pairs
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hub_id: yuvalkirstain/PickaPic-ft-pairwise
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hub_id: juletxara/xstory_cloze
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hub_id: galsenai/waxal_dataset
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hub_id: martino-canavate/50-pythonclean-dataset
license: []
language: []
config_name: default
column_names:
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hub_id: mholi/github-issues
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language: []
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hub_id: will33am/test
license: []
language: []
config_name: default
column_names:
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hub_id: Hack90/virus_ref_dna
license: ["unknown"]
language: []
config_name: default
column_names: ["id","sequence","name","description","features","seq_length"]
tags:
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features:
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hub_id: Ramos-Ramos/nllb-eng-tgl-600k
license: []
language: []
config_name: default
column_names:
["translation","laser_score","source_sentence_lid","target_sentence_lid","source_sentence_source","source_sentence_url","target_sentence_source","target_sentence_url"]

features:
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hub_id: JuanJoseMV/MIMMICIII-tokenized_notes_train
tags: ["size_categories:1M<n<10M","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["HADMID","input_ids","attention_mask"]
features:
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hub_id: imvladikon/he_cnn_dailymail
license: []
language: ["he"]
config_name: default
column_names: ["id","article","highlights","article_en","highlights_en"]
tags:
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features:
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hub_id: qwertyforce/scenery_watermarks
license: ["cc-by-nc-4.0"]
language: []
config_name: default
column_names: ["image","label"]
tags:
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features:
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hub_id: qwedsacf/story-generation
license: []
language: ["en"]
config_name: default
column_names: ["summary","story","source"]
tags:
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features:
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hub_id: nlpproject2023/Sentences_old
license: []
language: []
config_name: default
column_names: ["id","question","facts"]
features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"facts","sequence":"string"}]


hub_id: Gabef/production-samples-17
license: []
language: []
config_name: default
column_names: ["features","labels"]
features: [{"name":"features","sequence":"float32"},{"name":"labels","dtype":"string"}]
tags:
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hub_id: zirui3/cuad-instructions
license: ["cc-by-4.0"]
language: []
config_name: default
column_names: ["id","title","context","question","answers","instruction"]
tags:
["license:cc-by-4.0","size_categories:10K<n<100K","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
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hub_id: biu-nlp/alsqa
license: ["apache-2.0"]
language: ["en"]
config_name: alsqa
column_names: ["id","title","context","question","answers"]
tags:
["task_categories:question-answering","task_categories:text-classification","task_ids:open-domain-qa","task_ids:extractive-qa","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:apache-2.0","size_categories:n<1K","text","datasets","mlcroissant","arxiv:2210.12673","region:us","croissant"]


hub_id: ecoue/wmt19_de-en_tokenized
license: ["mit"]
language: []
config_name: default
column_names: ["de","en"]
features: [{"name":"de","sequence":"uint16"},{"name":"en","sequence":"uint16"}]
tags:
["license:mit","size_categories:1M<n<10M","parquet","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: epts/kanji-serif
license: ["openrail"]
language: []
config_name: default
column_names: ["image","text"]
features: [{"name":"image","dtype":"image"},{"name":"text","dtype":"string"}]
tags:
["license:openrail","size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: BelalElhossany/mgb2_audios_transcriptions
license: []
language: []
config_name: default
column_names: ["path","audio","sentence"]
features:
[{"name":"path","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"sentence","dtype":"string"}]


hub_id: intronhealth/afrispeech-200
license: ["cc-by-nc-sa-4.0"]
language: ["en"]
config_name: default
column_names: ["user_id","path","audio","transcript"]
tags:
["task_categories:automatic-speech-recognition","annotations_creators:expert-generated","language_creators:crowdsourced","language_creators:expert-generated","multilinguality:monolingual","size_categories:10K<n<100K","source_datasets:original","language:en","license:cc-by-nc-sa-4.0","region:us"]

features:
[{"name":"user_id","dtype":"string"},{"name":"path","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":44100}}},{"name":"transcript","dtype":"string"}]


hub_id: AMead10/wake_word_dataset
license: []
language: []
config_name: default
column_names: ["audio","label"]
features: [{"name":"audio","sequence":"float32"},{"name":"label","dtype":"int64"}]
tags:
["size_categories:1K<n<10K","parquet","timeseries","datasets","pandas","mlcroissant","region:us","croissant"]


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


hub_id: calvegh/diffusion_db_10k_processed
license: []
language: []
config_name: default
column_names: ["text","label","label_txt","topic_keywords"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"label_txt","dtype":"string"},{"name":"topic_keywords","dtype":"string"}]


hub_id: mvoisin/TinyCOCO
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["image_id","image_url","objects"]
features:
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hub_id: nlpproject2023/Paragraphs
license: []
language: []
config_name: default
column_names: ["id","question","context"]
features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"context","struct":[{"name":"sentences","sequence":{"sequence":"string"}},{"name":"title","sequence":"string"}]}]


hub_id: navjordj/SNL_summarization
license: []
language: ["no","nb"]
config_name: default
column_names: ["id","url","date_scraped","headline","category","ingress","article"]
tags:
["task_categories:summarization","task_categories:text2text-generation","language:no","language:nb","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
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hub_id: SDbiaseval/identities
license: []
language: []
config_name: default
column_names: ["ethnicity","gender","no","image_path","image","model"]
features:
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hub_id: datablations/c4-filter
license: []
language: []
config_name: default
column_names:
["text","timestamp","url","perplexity_score","text_length","domain","dup_ratio","pairs","repetitions","included_in_dedup","cluster"]

features:
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hub_id: jeffboudier/argilla-news-summary
license: ["cc-by-nc-4.0"]
language: ["en"]
config_name: default
tags:
["task_categories:summarization","task_ids:news-articles-summarization","source_datasets:original","language:en","license:cc-by-nc-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["text","prediction","prediction_agent","annotation","annotation_agent","id","metadata","status","event_timestamp","metrics","vectors"]

features:
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hub_id: HuggingFaceM4/simple-imagenet-1k-Sample
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["image","label","lexicon"]
features:
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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 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 monkey","381":"spider monkey, Ateles geoffroyi","382":"squirrel monkey, Saimiri sciureus","383":"Madagascar cat, ring-tailed lemur, Lemur catta","384":"indri, indris, Indri indri, Indri brevicaudatus","385":"Indian elephant, Elephas maximus","386":"African elephant, Loxodonta africana","387":"lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens","388":"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca","389":"barracouta, snoek","390":"eel","391":"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch","392":"rock beauty, Holocanthus tricolor","393":"anemone fish","394":"sturgeon","395":"gar, garfish, garpike, billfish, Lepisosteus osseus","396":"lionfish","397":"puffer, pufferfish, blowfish, globefish","398":"abacus","399":"abaya","400":"academic gown, academic robe, judge's robe","401":"accordion, piano accordion, squeeze box","402":"acoustic guitar","403":"aircraft carrier, carrier, flattop, attack aircraft 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 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hub_id: bridgeconn/snow-mountain
license: ["cc-by-sa-4.0"]
language: ["hi","bgc","kfs","dgo","bhd","gbk","xnr","kfx","mjl","kfo","bfz"]
config_name: bgc
column_names: ["Unnamed","sentence","path"]
tags:
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features:
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hub_id: EddieChen372/devign_with_vul_lines
license: []
language: []
config_name: default
column_names: ["id","func","target","project","commit_id","func_clean","vul_lines","normalized_func"]
features:
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hub_id: datablations/oscar-filter
license: []
language: []
config_name: default
column_names:
["id","text","meta","perplexity_score","text_length","url","domain","dup_ratio","pairs","repetitions","included_in_dedup","cluster"]

features:
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hub_id: jkorsvik/nowiki_abstract_urls_20230120
license: []
language: []
config_name: default
column_names: ["title","url","abstract","id"]
features:
[{"name":"title","dtype":"string"},{"name":"url","dtype":"string"},{"name":"abstract","dtype":"string"},{"name":"id","dtype":"int64"}]


hub_id: AhBotNLP/ahbot_wakeword
license: []
language: []
config_name: default
column_names: ["audio","label"]
tags:
["task_categories:audio-classification","size_categories:1K<n<10K","parquet","audio","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"audio","dtype":"audio"},{"name":"label","dtype":{"class_label":{"names":{"0":"ahbot","1":"ahbot_close","2":"background_noise"}}}}]


hub_id: apapa/mogumogu_dataset
license: []
language: []
config_name: default
column_names:
["audio","text (string)","phonetic_detail (json)","word_detail (json)","dialect_region (string)","sentence_type (string)","speaker_id (string)","id (string)","Unnamed: 8"]

features:
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hub_id: bggmyfuture-ai/serviall_multiclass
license: []
language: []
config_name: default
column_names: ["text","label","SubFamilia"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"SubFamilia","dtype":"string"}]


hub_id: WillHeld/JamPatoisNLI
license: []
language: []
config_name: default
column_names: ["Number","premise","hypothesis","label"]
tags:
["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","arxiv:2212.03419","region:us","croissant"]

features:
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hub_id: lukaemon/mmlu
tags: ["region:us"]
license: []
language: []
config_name: world_religions
column_names: ["input","A","B","C","D","target"]
features:
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hub_id: nc33/MultiSpan_SQUAD
license: ["mit"]
language: []
config_name: default
column_names: ["id","title","context","question","answers","num_span","label"]
tags:
["license:mit","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
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hub_id: jkorsvik/nowiki_abstract_second_scrape_20230201
license: []
language: []
config_name: default
column_names: ["url","date_scraped","headline","category","ingress","article","abstract","id"]
features:
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hub_id: nergis/deneme
license: []
language: []
config_name: default
column_names: ["label","sign1","sign2","sign3","review_length","input_ids","attention_mask","labels"]
features:
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hub_id: HuggingFaceH4/instruction-pilot-outputs-greedy
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","source","prompt","outputs"]
features:
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hub_id: amitdanin/s3_spyder
license: ["cc-by-4.0"]
language: ["en"]
config_name: spider
column_names: ["db_id","query","question","query_toks","query_toks_no_value","question_toks"]
tags:
["task_categories:text2text-generation","annotations_creators:expert-generated","language_creators:expert-generated","language_creators:machine-generated","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:1K<n<10K","region:us","text-to-sql"]

features:
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hub_id: BelalElhossany/mgb2_audios_transcriptions_prepared
license: []
language: []
config_name: default
column_names: ["path","audio","sentence","input_values","input_length","labels"]
tags:
["size_categories:1K<n<10K","parquet","audio","text","timeseries","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"path","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"sentence","dtype":"string"},{"name":"input_values","sequence":"float32"},{"name":"input_length","dtype":"int64"},{"name":"labels","sequence":"int64"}]


hub_id: davanstrien/autogenerated-dataset-card
license: []
language: []
config_name: default
tags:
["size_categories:n<1K","parquet","image","text","timeseries","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["file","image","label","pub_date","page_seq_num","edition_seq_num","batch","lccn","box","score","ocr","place_of_publication","geographic_coverage","name","publisher","url","page_url"]

features:
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hub_id: ernestum/dataset_playground
license: []
language: []
config_name: default
column_names: ["obs","acts","infos","terminal"]
tags:
["size_categories:n<1K","parquet","video","datasets","pandas","mlcroissant","region:us","croissant"]

features:
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hub_id: stable-bias/identities
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: default
column_names: ["ethnicity","gender","no","image_path","image","model"]
tags:
["language:en","license:cc-by-sa-4.0","size_categories:1K<n<10K","parquet","image","text","datasets","dask","mlcroissant","arxiv:2301.13188","region:us","croissant"]

features:
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hub_id: stable-bias/professions
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: default
column_names: ["adjective","profession","no","image_path","image","model"]
tags:
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features:
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hub_id: tasksource/defeasible-nli
license: ["apache-2.0"]
language: ["en"]
config_name: social
column_names: ["Hypothesis","Update","UpdateType"]
tags:
["task_categories:text-classification","task_ids:natural-language-inference","language:en","license:apache-2.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"Hypothesis","dtype":"string"},{"name":"Update","dtype":"string"},{"name":"UpdateType","dtype":"string"}]


hub_id: cyberagent/crello
license: ["cdla-permissive-2.0"]
language: ["en"]
config_name: default
tags:
["task_categories:unconditional-image-generation","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cdla-permissive-2.0","size_categories:1M<n<10M","parquet","image","text","timeseries","datasets","dask","mlcroissant","arxiv:2108.01249","region:us","graphic design","design templates","croissant"]

column_names:
["id","length","group","format","canvas_width","canvas_height","category","title","type","left","top","width","height","opacity","color","image","text","font","font_size","text_align","angle","capitalize","line_height","letter_spacing","suitability","keywords","industries","preview","cluster_index"]

features:
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hub_id: dangrebenkin/sova_rudevices_audiobooks
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["audio","transcription"]
tags:
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hub_id: davanstrien/model_cards_with_readmes
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config_name: default
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hub_id: mesmalif/amazon-shoe-reviews
license: []
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hub_id: chenghao/quora_questions
license: ["other"]
language: ["en"]
config_name: default
column_names: ["questions"]
features: [{"name":"questions","dtype":"string"}]
tags:
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hub_id: ricardo-filho/test_americanas
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Unnamed: 0","sentence","label"]
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hub_id: Multimodal-Fatima/SNLI-VE_train
license: []
language: []
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column_names:
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hub_id: emozilla/soda_synthetic_dialogue
license: ["mit"]
language: ["en"]
config_name: soda_synthetic_dialogue_dialogue_modeling
column_names: ["conversation"]
features: [{"name":"conversation","dtype":"string"}]
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hub_id: BigTimeCoderSean/pytorch-issues
license: []
language: []
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hub_id: HealthTeam/350k_dataset_health_ar_en_th_tokenized
license: []
language: []
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hub_id: biglam/unsilence_voc
license: ["cc-by-4.0"]
language: ["nl"]
config_name: default
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hub_id: qbaro/ABSA_LCF
license: []
language: []
config_name: default
column_names: ["name_data","sentence","aspect","sentence_label","aspect_label","polarity"]
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hub_id: AlekseyKorshuk/davinci-pairwise-all
license: []
language: []
config_name: default
column_names: ["chosen","rejected","prompt","api_prompt"]
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hub_id: yvs007/movie
license: []
language: []
config_name: default
column_names: ["Title","Genre","PlotSummary","input_ids","token_type_ids","attention_mask","special_tokens_mask"]
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hub_id: scribis/italian-literature-corpus-mini
license: []
language: ["it"]
config_name: default
column_names: ["review","review_length"]
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hub_id: toloka/TolokerGraph
license: ["cc-by-4.0"]
language: []
config_name: default
tags:
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hub_id: Nyaaneet/cord-v2-custom
license: []
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config_name: default
column_names: ["image","original_label","bounding_boxes","receipt_parse"]
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hub_id: kastan/chatbot-comparisons-rlhf
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["Hi, this is an Alexa Prize Social bot! Tonight I'm planning to do some stargazing. It's supposed to be cloudy, but I'm hoping the skies will clear. What's your favorite planet?","I don't think we've met. What's your name?","Hello! How is your day going so far?","Hi, I'm an Alexa Prize Social bot, it's nice to meet you!","How has your day been so far?","Do you have any plans for the weekend?","Do you have any recommendations for things to do/see around here?","What brings you here today?","Have you seen any good movies/shows lately?","What do you do for work/study?","What do you enjoy doing in your free time?","What's something interesting you've learned recently?","What do you like to do in your free time?","What's been the highlight of your day so far?","What do you think about this whole AI revolution that\u2019s happening?"]

features:
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hub_id: Axel578/mydt
license: ["cc-by-nc-nd-4.0"]
language: ["en"]
config_name: samsum
column_names: ["id","dialogue","summary"]
tags:
["task_categories:summarization","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-nc-nd-4.0","size_categories:1K<n<10K","json","text","datasets","mlcroissant","arxiv:1911.12237","region:us","conversations-summarization","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"dialogue","dtype":"string"},{"name":"summary","dtype":"string"}]


hub_id: emozilla/elementary_math-v1
license: []
language: []
config_name: default
column_names: ["text","operation","operands","solution"]
features:
[{"name":"text","dtype":"string"},{"name":"operation","dtype":"string"},{"name":"operands","sequence":"int64"},{"name":"solution","dtype":"int64"}]


hub_id: CaoHaiNam/summarization_wikilingua_vi
license: []
language: []
config_name: default
column_names: ["summary","document","__index_level_0__"]
features:
[{"name":"summary","dtype":"string"},{"name":"document","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: ernie-ai/image-text-examples-ar-cn-latin-notext
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"AR_docs","1":"CN_docs","2":"Latin_docs","3":"non-text"}}}}]


hub_id: j-krzywdziak/test
license: ["mit"]
language: ["pl"]
config_name: config
column_names: ["audio_id","audio","text"]
tags:
["annotations_creators:expert-generated","multilinguality:monolingual","language:pl","license:mit","size_categories:n<1K","audio","text","datasets","mlcroissant","region:us","croissant"]

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


hub_id: playgroundai/blip_clipseg_inpainting_ip2p_data_test
license: []
language: []
config_name: default
column_names: ["text","chosen_item","og_image","mask","output_image"]
features:
[{"name":"text","dtype":"string"},{"name":"chosen_item","dtype":"string"},{"name":"og_image","dtype":"image"},{"name":"mask","dtype":"image"},{"name":"output_image","dtype":"image"}]


hub_id: niv-al/sq-anli_a1
license: []
language: ["sq"]
config_name: default
column_names: ["sentence1","sentence2","labels"]
tags:
["language:sq","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"sentence1","dtype":"string"},{"name":"sentence2","dtype":"string"},{"name":"labels","dtype":{"class_label":{"names":{"0":"entailment","1":"neutral","2":"contradiction"}}}}]


hub_id: derek-thomas/squad-v1.1-t5-question-generation
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["context","questions"]
features: [{"name":"context","dtype":"string"},{"name":"questions","dtype":"string"}]
tags:
["task_categories:text2text-generation","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:extended|squad","language:en","license:cc-by-4.0","size_categories:10K<n<100K","parquet","image","text","datasets","pandas","mlcroissant","arxiv:1606.05250","arxiv:2005.01107","region:us","questiongeneration","question-generation","text2text-generation","croissant"]


hub_id: patrickvonplaten/dummy_image_class_data
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"resize"}}}}]


hub_id: librarian-bots/model_card_dataset_mentions
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["text","label"]
tags:
["task_categories:text-classification","language:en","license:mit","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","model cards","metadata","croissant"]

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


hub_id: HuggingFaceH4/instruction-pilot-outputs-sampling
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","source","prompt","outputs"]
features:
[{"name":"id","dtype":"int64"},{"name":"source","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"outputs","list":[{"name":"model","dtype":"string"},{"name":"outputs","sequence":"string"}]}]


hub_id: Zahra99/IEMOCAP_Text
license: []
language: ["en"]
config_name: default
column_names: ["text","label"]
tags:
["task_categories:text-classification","language:en","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","Emotion recognition","Text classification","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"ang","1":"hap","2":"neu","3":"sad"}}}}]


hub_id: Zahra99/IEMOCAP_Audio
license: []
language: ["en"]
config_name: default
column_names: ["audio","label"]
tags:
["task_categories:audio-classification","language:en","size_categories:1K<n<10K","parquet","audio","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"label","dtype":{"class_label":{"names":{"0":"ang","1":"hap","2":"neu","3":"sad"}}}}]


hub_id: alexandrainst/ddisco
license: ["afl-3.0"]
language: ["da"]
config_name: default
column_names: ["text","domain","rating"]
tags:
["task_categories:text-classification","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","language:da","license:afl-3.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","discourse","coherence","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"domain","dtype":"string"},{"name":"rating","dtype":"int64"}]


hub_id: carlosejimenez/wikipedia-20220301.en-block-size-1024
license: []
language: []
config_name: default
column_names: ["tokens","id","text"]
features:
[{"name":"tokens","sequence":"string"},{"name":"id","dtype":"int64"},{"name":"text","dtype":"string"}]


hub_id: roa7n/knots_AF_no_fragments
license: []
language: []
config_name: default
column_names:
["ID","latestVersion","globalMetricValue","uniprotStart","uniprotEnd","uniprotSequence","Length","Domain_architecture","InterPro","Max_Topology","Max Freq","Knot Core","label","FamilyName"]

features:
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hub_id: tj-solergibert/Europarl-ST
license: ["cc-by-nc-4.0"]
language: ["es","de","en","fr","nl","pl","pt","ro","it"]
config_name: default
column_names: ["original_speech","original_language","audio_path","segment_start","segment_end","transcriptions"]
tags:
["task_categories:translation","task_categories:text-to-speech","language:es","language:de","language:en","language:fr","language:nl","language:pl","language:pt","language:ro","language:it","license:cc-by-nc-4.0","size_categories:100K<n<1M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
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hub_id: nc33/multispan_adversarial_qa
license: ["mit"]
language: []
config_name: default
column_names: ["id","context","question","type","structure","num_span","label"]
tags:
["license:mit","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"context","sequence":"string"},{"name":"question","sequence":"string"},{"name":"type","dtype":"string"},{"name":"structure","dtype":"string"},{"name":"num_span","dtype":"int64"},{"name":"label","sequence":"string"}]


hub_id: nc33/multispan_quoref
license: ["mit"]
language: []
config_name: default
column_names: ["id","question","context","answers","num_span","label","type","structure"]
tags:
["license:mit","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"answers","sequence":[{"name":"answer_start","dtype":"int32"},{"name":"text","dtype":"string"}]},{"name":"num_span","dtype":"int64"},{"name":"label","sequence":"string"},{"name":"type","dtype":"string"},{"name":"structure","dtype":"string"}]


hub_id: jaese/github-issues
license: []
language: []
config_name: default
column_names:
["url","repository_url","labels_url","comments_url","events_url","html_url","id","node_id","number","title","user","labels","state","locked","comments","created_at","updated_at","author_association","body","reactions","timeline_url","draft","pull_request","closed_at","state_reason","assignee","assignees","milestone","is_pull_request"]

features:
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hub_id: Nadav/Hansard
license: []
language: []
config_name: default
column_names: ["sentence_id","text","decade","speechdate","__index_level_0__"]
features:
[{"name":"sentence_id","dtype":"string"},{"name":"text","dtype":"string"},{"name":"decade","dtype":"string"},{"name":"speechdate","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: AlekseyKorshuk/davinci-vs-lit-pairwise
license: []
language: []
config_name: default
column_names: ["davinci","lit","prompt","api_prompt"]
features:
[{"name":"davinci","dtype":"string"},{"name":"lit","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"api_prompt","dtype":"string"}]


hub_id: hieunguyen1053/binhvq-news-corpus
license: []
language: []
config_name: default
column_names: ["title","summary","category","content"]
features:
[{"name":"title","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"category","dtype":"string"},{"name":"content","dtype":"string"}]


hub_id: liuyanchen1015/VALUE_wikitext2_been_done
license: []
language: ["en"]
config_name: default
column_names: ["sentence","idx","score"]
tags:
["language:en","size_categories:1K<n<10K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"sentence","dtype":"string"},{"name":"idx","dtype":"int64"},{"name":"score","dtype":"int64"}]


hub_id: davanstrien/weakly_labelled_dataset_mentions
license: []
language: []
config_name: default
column_names:
["text","inputs","prediction","prediction_agent","annotation","annotation_agent","vectors","multi_label","explanation","id","metadata","status","metrics","label"]

features:
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hub_id: derek-thomas/ScienceQA
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: default
tags:
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column_names:
["image","question","choices","answer","hint","task","grade","subject","topic","category","skill","lecture","solution"]

features:
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hub_id: hugfaceguy0001/stanford_plato
license: []
language: []
config_name: default
column_names: ["shorturl","title","pubinfo","preamble","toc","main_text","bibliography","related_entries"]
features:
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hub_id: olly4/cities-suburbs-small
license: []
language: []
config_name: default
column_names: ["image","Unnamed: 0","description"]
features:
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hub_id: Piro17/dataset-affecthqnet-fer2013
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
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hub_id: Nyaaneet/SynthDog-RU_EN
license: []
language: []
config_name: default
column_names: ["image","ground_truth","lang"]
features:
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hub_id: tj-solergibert/Europarl-ST-processed-mt-en
license: []
language: []
config_name: default
column_names: ["source_text","dest_text","dest_lang"]
features:
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hub_id: niv-al/sq-babi_nli_counting
license: []
language: ["sq"]
config_name: default
column_names: ["sentence1","sentence2","labels"]
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hub_id: Multimodal-Fatima/VQAv2_sample_train
license: []
language: []
config_name: default
column_names:
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hub_id: Multimodal-Fatima/VQAv2_sample_validation
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hub_id: Multimodal-Fatima/VQAv2_sample_testdev
license: []
language: []
config_name: default
column_names:
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hub_id: rexarski/climate_fever_fixed
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["claim_id","claim","evidence","label","category"]
tags:
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hub_id: Multimodal-Fatima/Imagenet1k_sample_train
license: []
language: []
config_name: default
column_names: ["image","label","lexicon","id"]
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hub_id: datablations/oscar-dedup-expanded
license: []
language: []
config_name: default
column_names:
["id","text","meta","perplexity_score","text_length","url","domain","dup_ratio","pairs","repetitions","included_in_dedup","cluster","has_dup_25"]

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hub_id: IlyaGusev/habr
license: []
language: ["ru","en"]
config_name: default
tags:
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hub_id: qwedsacf/grade-school-math-instructions
license: []
language: []
config_name: default
column_names: ["INSTRUCTION","RESPONSE","SOURCE"]
features:
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hub_id: GBaker/MedQA-USMLE-4-options-hf-MiniLM-IR-cs
license: []
language: []
config_name: default
column_names: ["id","sent1","sent2","ending0","ending1","ending2","ending3","label"]
features:
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hub_id: tarteel-ai/quran-tafsir
license: []
language: []
config_name: default
column_names:
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hub_id: jorgeortizfuentes/chilean-spanish-corpus
license: ["cc-by-sa-4.0"]
language: ["es"]
config_name: default
column_names: ["text","source"]
features: [{"name":"text","dtype":"string"},{"name":"source","dtype":"string"}]
tags:
["task_categories:text-generation","task_categories:fill-mask","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","source_datasets:original","language:es","license:cc-by-sa-4.0","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: akadhim-ai/dilbert-comic-dataset
license: ["openrail"]
language: []
config_name: default
column_names: ["image","label","text"]
tags:
["license:openrail","size_categories:n<1K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

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


hub_id: achang/render_text
license: []
language: []
config_name: default
column_names: ["review_body","image","section","section_text","pos_section_txt"]
features:
[{"name":"review_body","dtype":"string"},{"name":"image","dtype":"image"},{"name":"section","dtype":"image"},{"name":"section_text","dtype":"string"},{"name":"pos_section_txt","dtype":"string"}]


hub_id: afmck/peanuts-opt-6.7b
license: ["other"]
language: ["en"]
config_name: default
column_names: ["image","panel_name","characters","themes","color","year","caption"]
tags:
["task_categories:text-to-image","language:en","license:other","size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"panel_name","dtype":"string"},{"name":"characters","sequence":"string"},{"name":"themes","sequence":"string"},{"name":"color","dtype":"string"},{"name":"year","dtype":"int64"},{"name":"caption","dtype":"string"}]


hub_id: thmk/java_0
license: []
language: []
config_name: default
column_names: ["code","repo_name","path","language","license","size"]
features:
[{"name":"code","dtype":"string"},{"name":"repo_name","dtype":"string"},{"name":"path","dtype":"string"},{"name":"language","dtype":"string"},{"name":"license","dtype":"string"},{"name":"size","dtype":"int64"}]


hub_id: LFBMS/class_dataset2
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"bilanz_datev","1":"bilanz_lexware","2":"guv","3":"other"}}}}]


hub_id: LFBMS/class_dataset_donut2
license: []
language: []
config_name: default
column_names: ["image","label","ground_truth"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"bilanz_datev","1":"bilanz_lexware","2":"guv","3":"other"}}}},{"name":"ground_truth","dtype":"string"}]


hub_id: lishuyang/recipepairs
license: ["gpl-3.0"]
language: ["en"]
config_name: 1.5.0
column_names: []
features: []
tags:
["task_categories:text-generation","multilinguality:monolingual","source_datasets:original","language:en","license:gpl-3.0","size_categories:1M<n<10M","region:us"]


hub_id: Isamu136/big-animal-dataset-with-embedding
license: ["mit"]
language: []
config_name: default
tags:
["license:mit","size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["image","caption","l14_embeddings","moco_vitb_imagenet_embeddings","moco_vitb_imagenet_embeddings_without_last_layer"]

features:
[{"name":"image","dtype":"image"},{"name":"caption","dtype":"string"},{"name":"l14_embeddings","sequence":"float32"},{"name":"moco_vitb_imagenet_embeddings","sequence":"float32"},{"name":"moco_vitb_imagenet_embeddings_without_last_layer","sequence":"float32"}]


hub_id: taldarim/pc_380
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["text","Results interpretation","Frameworks usage","Algorithms design","Algorithms implementation","Launching problem","Performance issue","Feasibility of application development","Application availability","Device usage","Input data usage"]

features:
[{"name":"text","dtype":"string"},{"name":"Results interpretation","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"Frameworks usage","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"Algorithms design","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"Algorithms implementation","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"Launching problem","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"Performance issue","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"Feasibility of application development","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"Application availability","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"Device usage","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"Input data usage","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}}]


hub_id: jeveuxaider/jva-missions-report-raw
license: []
language: []
config_name: default
column_names: ["label","idx","text"]
features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"Valid\u00e9e","1":"Signal\u00e9e"}}}},{"name":"idx","dtype":"int64"},{"name":"text","dtype":"string"}]


hub_id: andstor/output
license: ["mit"]
language: ["en"]
config_name: openai.gpt-4-0613
column_names: ["id","part","prompt","reference","prediction","ended","meta"]
tags:
["task_categories:text-generation","language:en","license:mit","size_categories:10K<n<100K","text","datasets","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"part","sequence":"int32"},{"name":"prompt","dtype":"string"},{"name":"reference","dtype":"string"},{"name":"prediction","dtype":"string"},{"name":"ended","dtype":"bool"},{"name":"meta","struct":[{"name":"subset","dtype":"string"}]}]


hub_id: Nadav/historical_texts
license: []
language: []
config_name: default
column_names: ["text","file","__index_level_0__"]
features:
[{"name":"text","dtype":"string"},{"name":"file","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: IlyaGusev/ru_stackoverflow
license: ["other"]
language: ["ru"]
config_name: default
tags:
["task_categories:text-generation","task_categories:question-answering","language:ru","license:other","size_categories:100K<n<1M","tabular","text","datasets","mlcroissant","region:us","croissant"]

column_names:
["question_id","url","answer_count","text_html","text_markdown","score","title","tags","views","author","timestamp","comments","answers"]

features:
[{"name":"question_id","dtype":"uint32"},{"name":"url","dtype":"string"},{"name":"answer_count","dtype":"uint32"},{"name":"text_html","dtype":"string"},{"name":"text_markdown","dtype":"string"},{"name":"score","dtype":"int32"},{"name":"title","dtype":"string"},{"name":"tags","sequence":"string"},{"name":"views","dtype":"uint64"},{"name":"author","dtype":"string"},{"name":"timestamp","dtype":"uint64"},{"name":"comments","sequence":[{"name":"text","dtype":"string"},{"name":"author","dtype":"string"},{"name":"comment_id","dtype":"uint32"},{"name":"score","dtype":"int32"},{"name":"timestamp","dtype":"uint64"}]},{"name":"answers","sequence":[{"name":"answer_id","dtype":"uint32"},{"name":"is_accepted","dtype":"uint8"},{"name":"text_html","dtype":"string"},{"name":"text_markdown","dtype":"string"},{"name":"score","dtype":"int32"},{"name":"author","dtype":"string"},{"name":"timestamp","dtype":"uint64"},{"name":"comments","sequence":[{"name":"text","dtype":"string"},{"name":"author","dtype":"string"},{"name":"comment_id","dtype":"uint32"},{"name":"score","dtype":"int32"},{"name":"timestamp","dtype":"uint64"}]}]}]


hub_id: Nyaaneet/SynthDog-RU_EN-prepared
license: []
language: []
config_name: default
column_names: ["image","ground_truth","lang","text"]
features:
[{"name":"image","dtype":"image"},{"name":"ground_truth","dtype":"string"},{"name":"lang","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: cvcio/mediawatch-2302
license: ["gpl-3.0"]
language: ["el"]
config_name: default
column_names: ["id","text","createdAt","source","link"]
tags:
["language:el","license:gpl-3.0","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","doi:10.57967/hf/0369","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"text","dtype":"string"},{"name":"createdAt","dtype":"string"},{"name":"source","dtype":"string"},{"name":"link","dtype":"string"}]


hub_id: HiTZ/euscrawl
license: ["cc"]
language: ["eu"]
config_name: default
column_names: ["id","title","text","source","license","url"]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","source_datasets:original","language:eu","license:cc","size_categories:1M<n<10M","tabular","text","datasets","mlcroissant","arxiv:2203.08111","region:us","high-quality","scraping","croissant"]

features:
[{"name":"id","dtype":"int32"},{"name":"title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"source","dtype":"string"},{"name":"license","dtype":"string"},{"name":"url","dtype":"string"}]


hub_id: Multimodal-Fatima/VQAv2_train
license: []
language: []
config_name: default
column_names:
["question_type","multiple_choice_answer","answers","answers_original","id_image","answer_type","question_id","question","image","id","clip_tags_ViT_L_14","blip_caption","LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14","DETA_detections_deta_swin_large_o365_coco_classes","DETA_detections_deta_swin_large_o365_clip_ViT_L_14","DETA_detections_deta_swin_large_o365_clip_ViT_L_14_blip_caption","Attributes_ViT_L_14_descriptors_text_davinci_003_full","clip_tags_ViT_L_14_wo_openai","clip_tags_ViT_L_14_with_openai","clip_tags_LAION_ViT_H_14_2B_wo_openai","clip_tags_LAION_ViT_H_14_2B_with_openai","clip_tags_LAION_ViT_bigG_14_2B_wo_openai","clip_tags_LAION_ViT_bigG_14_2B_with_openai","Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full","Attributes_LAION_ViT_bigG_14_2B_descriptors_text_davinci_003_full"]

features:
[{"name":"question_type","dtype":"string"},{"name":"multiple_choice_answer","dtype":"string"},{"name":"answers","sequence":"string"},{"name":"answers_original","list":[{"name":"answer","dtype":"string"},{"name":"answer_confidence","dtype":"string"},{"name":"answer_id","dtype":"int64"}]},{"name":"id_image","dtype":"int64"},{"name":"answer_type","dtype":"string"},{"name":"question_id","dtype":"int64"},{"name":"question","dtype":"string"},{"name":"image","dtype":"image"},{"name":"id","dtype":"int64"},{"name":"clip_tags_ViT_L_14","sequence":"string"},{"name":"blip_caption","dtype":"string"},{"name":"LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14","sequence":"string"},{"name":"DETA_detections_deta_swin_large_o365_coco_classes","list":[{"name":"attribute","dtype":"string"},{"name":"box","sequence":"float32"},{"name":"label","dtype":"string"},{"name":"location","dtype":"string"},{"name":"ratio","dtype":"float32"},{"name":"size","dtype":"string"},{"name":"tag","dtype":"string"}]},{"name":"DETA_detections_deta_swin_large_o365_clip_ViT_L_14","list":[{"name":"attribute","dtype":"string"},{"name":"box","sequence":"float64"},{"name":"label","dtype":"string"},{"name":"location","dtype":"string"},{"name":"ratio","dtype":"float64"},{"name":"size","dtype":"string"},{"name":"tag","dtype":"string"}]},{"name":"DETA_detections_deta_swin_large_o365_clip_ViT_L_14_blip_caption","list":[{"name":"attribute","dtype":"string"},{"name":"box","sequence":"float64"},{"name":"caption","dtype":"string"},{"name":"label","dtype":"string"},{"name":"location","dtype":"string"},{"name":"ratio","dtype":"float64"},{"name":"size","dtype":"string"},{"name":"tag","dtype":"string"}]},{"name":"Attributes_ViT_L_14_descriptors_text_davinci_003_full","sequence":"string"},{"name":"clip_tags_ViT_L_14_wo_openai","sequence":"string"},{"name":"clip_tags_ViT_L_14_with_openai","sequence":"string"},{"name":"clip_tags_LAION_ViT_H_14_2B_wo_openai","sequence":"string"},{"name":"clip_tags_LAION_ViT_H_14_2B_with_openai","sequence":"string"},{"name":"clip_tags_LAION_ViT_bigG_14_2B_wo_openai","sequence":"string"},{"name":"clip_tags_LAION_ViT_bigG_14_2B_with_openai","sequence":"string"},{"name":"Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full","sequence":"string"},{"name":"Attributes_LAION_ViT_bigG_14_2B_descriptors_text_davinci_003_full","sequence":"string"}]


hub_id: DReAMy-lib/DreamBank-dreams-en
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["series","description","dreams","gender","year"]
tags:
["language:en","license:apache-2.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"series","dtype":"string"},{"name":"description","dtype":"string"},{"name":"dreams","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"year","dtype":"string"}]


hub_id: LRGB/coco_superpixels_edge_wt_only_coord_10
license: ["cc-by-4.0"]
language: []
config_name: default
column_names: ["x","edge_index","edge_attr","y"]
tags:
["task_categories:graph-ml","license:cc-by-4.0","size_categories:100K<n<1M","parquet","tabular","datasets","pandas","mlcroissant","region:us","lrgb","croissant"]

features:
[{"name":"x","dtype":"int64"},{"name":"edge_index","dtype":"int64"},{"name":"edge_attr","dtype":"int64"},{"name":"y","dtype":"int64"}]


hub_id: isaacrehg/poetry-detailed-analysis
license: []
language: []
config_name: default
column_names: ["_id","title","author","url","stanza_index","stanza_header","content","analysis"]
features:
[{"name":"_id","dtype":"int64"},{"name":"title","dtype":"string"},{"name":"author","dtype":"string"},{"name":"url","dtype":"string"},{"name":"stanza_index","dtype":"int64"},{"name":"stanza_header","dtype":"string"},{"name":"content","dtype":"string"},{"name":"analysis","dtype":"string"}]


hub_id: isaacrehg/poetry-summary
license: []
language: []
config_name: default
column_names: ["_id","title","author","url","summary"]
features:
[{"name":"_id","dtype":"int64"},{"name":"title","dtype":"string"},{"name":"author","dtype":"string"},{"name":"url","dtype":"string"},{"name":"summary","dtype":"string"}]


hub_id: lsb/simplewiki2023-all-minilm-l6-v2-embedding
license: []
language: []
config_name: default
column_names: ["id","url","title","text","embedding","id_int"]
features:
[{"name":"id","dtype":"string"},{"name":"url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"embedding","sequence":"float32"},{"name":"id_int","dtype":"int64"}]


hub_id: jonathan-roberts1/Million-AID
license: ["other"]
language: []
config_name: default
column_names: ["image","label_1","label_2","label_3"]
tags:
["task_categories:image-classification","task_categories:zero-shot-image-classification","license:other","size_categories:10K<n<100K","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label_1","dtype":{"class_label":{"names":{"0":"unutilized land","1":"commercial land","2":"public service land","3":"transportation land","4":"industrial land","5":"water area","6":"residential land","7":"agriculture land"}}}},{"name":"label_2","dtype":{"class_label":{"names":{"0":"dam","1":"religious land","2":"rock land","3":"sparse shrub land","4":"arable land","5":"factory area","6":"detached house","7":"desert","8":"lake","9":"power station","10":"beach","11":"ice land","12":"bare land","13":"island","14":"woodland","15":"mobile home park","16":"railway area","17":"river","18":"grassland","19":"apartment","20":"special land","21":"port area","22":"commercial area","23":"highway area","24":"mining area","25":"sports land","26":"airport area","27":"leisure land"}}}},{"name":"label_3","dtype":{"class_label":{"names":{"0":"dam","1":"parking lot","2":"greenhouse","3":"pier","4":"bridge","5":"mine","6":"rock land","7":"baseball field","8":"apron","9":"tennis court","10":"sparse shrub land","11":"works","12":"oil field","13":"meadow","14":"ground track field","15":"detached house","16":"golf course","17":"forest","18":"desert","19":"lake","20":"beach","21":"paddy field","22":"ice land","23":"bare land","24":"storage tank","25":"basketball court","26":"island","27":"substation","28":"mobile home park","29":"cemetery","30":"quarry","31":"solar power plant","32":"helipad","33":"roundabout","34":"runway","35":"wastewater plant","36":"river","37":"apartment","38":"dry field","39":"intersection","40":"swimming pool","41":"commercial area","42":"church","43":"road","44":"orchard","45":"terraced field","46":"stadium","47":"train station","48":"railway","49":"viaduct","50":"wind turbine"}}}}]


hub_id: Maiia/skillspan_job_ner
tags: ["size_categories:10K<n<100K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input_ids","labels"]
features:
[{"name":"input_ids","sequence":"int64"},{"name":"labels","sequence":{"class_label":{"names":{"0":"B-Skill I-Knowledge","1":"I-Skill B-Knowledge","2":"B-Knowledge","3":"I-Skill I-Knowledge","4":"I-Skill","5":"B-Skill","6":"I-Knowledge","7":"O","8":-100}}}}]


hub_id: Multimodal-Fatima/VQAv2_sample_validation_facebook_opt_350m_VQAv2_visclues_ns_8
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","prompt","question","true_label","prediction","scores"]
features:
[{"name":"id","dtype":"int64"},{"name":"prompt","dtype":"string"},{"name":"question","dtype":"string"},{"name":"true_label","sequence":"string"},{"name":"prediction","dtype":"string"},{"name":"scores","sequence":"float64"}]


hub_id: bigcode/jupyter-code-text-pairs
license: []
language: []
config_name: default
column_names: ["markdown","code","output","license","path","repo_name"]
features:
[{"name":"markdown","dtype":"string"},{"name":"code","dtype":"string"},{"name":"output","dtype":"string"},{"name":"license","dtype":"string"},{"name":"path","dtype":"string"},{"name":"repo_name","dtype":"string"}]


hub_id: jonathan-roberts1/NaSC-TG2
license: ["cc-by-nc-sa-4.0"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["license:cc-by-nc-sa-4.0","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":"beach","1":"circular farmland","2":"cloud","3":"desert","4":"forest","5":"mountain","6":"rectangular farmland","7":"residential","8":"river","9":"snowberg"}}}}]


hub_id: samitizerxu/mini-algae-wirs
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"1","1":"2","2":"3","3":"4","4":"5","5":"test"}}}}]


hub_id: jonathan-roberts1/RS_C11
license: ["other"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["task_categories:image-classification","task_categories:zero-shot-image-classification","license:other","size_categories:1K<n<10K","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"dense forest","1":"grassland","2":"harbor","3":"high buildings","4":"low buildings","5":"overpass","6":"railway","7":"residential area","8":"roads","9":"sparse forest","10":"storage tanks"}}}}]


hub_id: jonathan-roberts1/Brazilian_Coffee_Scenes
license: ["other"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["task_categories:image-classification","license:other","size_categories:1K<n<10K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"coffee","1":"no coffee"}}}}]


hub_id: jonathan-roberts1/Brazilian_Cerrado-Savanna_Scenes
license: ["other"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["task_categories:zero-shot-image-classification","task_categories:image-classification","license:other","size_categories:1K<n<10K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"agriculture","1":"arboreal vegetation","2":"herbaceous vegetation","3":"shrubby vegetation"}}}}]


hub_id: bstds/age_dataset
license: []
language: []
config_name: default
column_names:
["entity_id","name","short_description","gender","country","occupation","birth_year","manner_of_death","age_of_death"]

features:
[{"name":"entity_id","dtype":"int32"},{"name":"name","dtype":"string"},{"name":"short_description","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"country","dtype":"string"},{"name":"occupation","dtype":"string"},{"name":"birth_year","dtype":"string"},{"name":"manner_of_death","dtype":"string"},{"name":"age_of_death","dtype":"string"}]


hub_id: jonathan-roberts1/RSI-CB256
license: ["other"]
language: []
config_name: default
column_names: ["label_1","label_2","image"]
tags:
["task_categories:image-classification","task_categories:zero-shot-image-classification","license:other","size_categories:10K<n<100K","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"label_1","dtype":{"class_label":{"names":{"0":"transportation","1":"other objects","2":"woodland","3":"water area","4":"other land","5":"cultivated land","6":"construction land"}}}},{"name":"label_2","dtype":{"class_label":{"names":{"0":"parking lot","1":"avenue","2":"highway","3":"bridge","4":"marina","5":"crossroads","6":"airport runway","7":"pipeline","8":"town","9":"airplane","10":"forest","11":"mangrove","12":"artificial grassland","13":"river protection forest","14":"shrubwood","15":"sapling","16":"sparse forest","17":"lakeshore","18":"river","19":"stream","20":"coastline","21":"hirst","22":"dam","23":"sea","24":"snow mountain","25":"sandbeach","26":"mountain","27":"desert","28":"dry farm","29":"green farmland","30":"bare land","31":"city building","32":"residents","33":"container","34":"storage room"}}}},{"name":"image","dtype":"image"}]


hub_id: bstds/geonames
license: []
language: []
config_name: default
column_names:
["geonameid","name","asciiname","alternatenames","latitude","longitude","feature_class","feature_code","country_code","cc2","admin1_code","admin2_code","admin3_code","admin4_code","population","elevation","dem","timezone","modification_date"]

features:
[{"name":"geonameid","dtype":"int64"},{"name":"name","dtype":"string"},{"name":"asciiname","dtype":"string"},{"name":"alternatenames","dtype":"string"},{"name":"latitude","dtype":"float64"},{"name":"longitude","dtype":"float64"},{"name":"feature_class","dtype":"string"},{"name":"feature_code","dtype":"string"},{"name":"country_code","dtype":"string"},{"name":"cc2","dtype":"string"},{"name":"admin1_code","dtype":"string"},{"name":"admin2_code","dtype":"string"},{"name":"admin3_code","dtype":"string"},{"name":"admin4_code","dtype":"string"},{"name":"population","dtype":"int64"},{"name":"elevation","dtype":"float64"},{"name":"dem","dtype":"int64"},{"name":"timezone","dtype":"string"},{"name":"modification_date","dtype":"string"}]


hub_id: rohitp1/SmallNoisyCommonSpeechEN
license: []
language: []
config_name: default
column_names: ["audio","sentence"]
features:
[{"name":"audio","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"null"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"sentence","dtype":"string"}]


hub_id: bstds/us_patent
license: []
language: []
config_name: default
column_names: ["id","anchor","target","context","score"]
features:
[{"name":"id","dtype":"string"},{"name":"anchor","dtype":"string"},{"name":"target","dtype":"string"},{"name":"context","dtype":"string"},{"name":"score","dtype":"float32"}]


hub_id: liuyanchen1015/wikitext2_VALUE
license: []
language: []
config_name: default
column_names:
["sentence-glue","sentence-glue-html","sentence","sentence-ass","sentence-been_done","sentence-dey_it","sentence-drop_aux","sentence-got","sentence-lexical","sentence-negative_concord","sentence-negative_inversion","sentence-null_genetive","sentence-null_relcl","sentence-total","sentence-uninflect"]

features:
[{"name":"sentence-glue","dtype":"string"},{"name":"sentence-glue-html","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"sentence-ass","dtype":"int64"},{"name":"sentence-been_done","dtype":"int64"},{"name":"sentence-dey_it","dtype":"int64"},{"name":"sentence-drop_aux","dtype":"int64"},{"name":"sentence-got","dtype":"int64"},{"name":"sentence-lexical","dtype":"int64"},{"name":"sentence-negative_concord","dtype":"int64"},{"name":"sentence-negative_inversion","dtype":"int64"},{"name":"sentence-null_genetive","dtype":"int64"},{"name":"sentence-null_relcl","dtype":"int64"},{"name":"sentence-total","dtype":"int64"},{"name":"sentence-uninflect","dtype":"int64"}]


hub_id: comet-team/iris
license: []
language: []
config_name: default
column_names: ["Id","SepalLengthCm","SepalWidthCm","PetalLengthCm","PetalWidthCm","Species"]
features:
[{"name":"Id","dtype":"int64"},{"name":"SepalLengthCm","dtype":"float64"},{"name":"SepalWidthCm","dtype":"float64"},{"name":"PetalLengthCm","dtype":"float64"},{"name":"PetalWidthCm","dtype":"float64"},{"name":"Species","dtype":"string"}]


hub_id: niceblueman/icons_dataset
license: ["apache-2.0"]
language: ["en"]
config_name: svg_icons
column_names: ["word","icon"]
features: [{"name":"word","dtype":"string"},{"name":"icon","dtype":"string"}]
tags:
["language:en","license:apache-2.0","size_categories:100M<n<1B","doi:10.57967/hf/0375","region:us","icons","svgs"]


hub_id: mrm8488/CHISTES_spanish_jokes
license: []
language: ["es"]
config_name: default
column_names: ["id","text","keywords","funny","category"]
tags:
["task_categories:text-classification","task_categories:text-generation","language:es","size_categories:100K<n<1M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"keywords","dtype":"string"},{"name":"funny","dtype":"int64"},{"name":"category","dtype":"string"}]


hub_id: HuggingFaceH4/helpful-anthropic-raw
license: ["mit"]
language: []
config_name: default
column_names: ["instruction","demonstration"]
features: [{"name":"instruction","dtype":"string"},{"name":"demonstration","dtype":"string"}]
tags:
["license:mit","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","human-feedback","croissant"]


hub_id: tj-solergibert/t5-Europarl-en
tags: ["size_categories:100K<n<1M","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["dest_lang","input_ids","attention_mask","labels"]
features:
[{"name":"dest_lang","dtype":{"class_label":{"names":{"0":"de","1":"en","2":"es","3":"fr","4":"it","5":"nl","6":"pl","7":"pt","8":"ro"}}}},{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"},{"name":"labels","sequence":"int64"}]


hub_id: HighCWu/fill50k
license: ["openrail"]
language: ["en"]
config_name: default
column_names: ["image","guide","text"]
tags:
["language:en","license:openrail","size_categories:10K<n<100K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"guide","dtype":"image"},{"name":"text","dtype":"string"}]


hub_id: justinian336/salvadoran-news-edh
license: []
language: []
config_name: default
column_names: ["image_src","title","content","category","link"]
features:
[{"name":"image_src","dtype":"string"},{"name":"title","dtype":"string"},{"name":"content","dtype":"string"},{"name":"category","dtype":{"class_label":{"names":{"0":"deportes","1":"opinion/caricaturas","2":"noticias","3":"opinion","4":"videos","5":"entretenimiento","6":"deportes/zona-mundialista","7":null,"8":"fotogalerias","9":"vida"}}}},{"name":"link","dtype":"string"}]


hub_id: justinian336/salvadoran-news-elmundo
license: []
language: []
config_name: default
column_names: ["image_src","title","content","category","date","link"]
features:
[{"name":"image_src","dtype":"string"},{"name":"title","dtype":"string"},{"name":"content","dtype":"string"},{"name":"category","dtype":{"class_label":{"names":{"0":"Editorial","1":"Confidencial","2":"Nacionales","3":"El Mundo","4":"Politica","5":"Guia Mundialista","6":"Economia","7":"Tecnomundo"}}}},{"name":"date","dtype":"string"},{"name":"link","dtype":"string"}]


hub_id: j-krzywdziak/test2
license: ["mit"]
language: ["pl"]
config_name: config
column_names: ["audio_id","audio","text"]
tags:
["annotations_creators:expert-generated","multilinguality:monolingual","language:pl","license:mit","audio","text","datasets","mlcroissant","region:us","croissant"]

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


hub_id: Piro17/fer2013test
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"angry","1":"disgust","2":"fear","3":"happy","4":"neutral","5":"sad","6":"surprise"}}}}]


hub_id: davanstrien/model_cards_with_readmes_sections
license: []
language: []
config_name: default
column_names: ["license","tags","is_nc","readme_section","hash"]
features:
[{"name":"license","dtype":"string"},{"name":"tags","dtype":"string"},{"name":"is_nc","dtype":"bool"},{"name":"readme_section","dtype":"string"},{"name":"hash","dtype":"string"}]


hub_id: HuggingFaceH4/helpful-self-instruct-raw
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["instruction","demonstration"]
features: [{"name":"instruction","dtype":"string"},{"name":"demonstration","dtype":"string"}]
tags:
["license:apache-2.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","human-feedback","croissant"]


hub_id: jonathan-roberts1/GID
license: ["other"]
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"arbor woodland","1":"artificial grassland","2":"dry cropland","3":"garden plot","4":"industrial land","5":"irrigated land","6":"lake","7":"natural grassland","8":"paddy field","9":"pond","10":"river","11":"rural residential","12":"shrub land","13":"traffic land","14":"urban residential"}}}}]


hub_id: jonathan-roberts1/CLRS
license: ["other"]
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"airport","1":"bare land","2":"beach","3":"bridge","4":"commercial","5":"desert","6":"farmland","7":"forest","8":"golf course","9":"highway","10":"industrial","11":"meadow","12":"mountain","13":"overpass","14":"park","15":"parking","16":"playground","17":"port","18":"railway","19":"railway station","20":"residential","21":"river","22":"runway","23":"stadium","24":"storage tank"}}}}]


hub_id: comet-team/mastodon-instances
license: []
language: []
config_name: default
column_names:
["name","title","short_description","description","uptime","up","https_score","https_rank","ipv6","openRegistrations","users","statuses","connections"]

features:
[{"name":"name","dtype":"string"},{"name":"title","dtype":"string"},{"name":"short_description","dtype":"string"},{"name":"description","dtype":"string"},{"name":"uptime","dtype":"float64"},{"name":"up","dtype":"bool"},{"name":"https_score","dtype":"int64"},{"name":"https_rank","dtype":"string"},{"name":"ipv6","dtype":"bool"},{"name":"openRegistrations","dtype":"bool"},{"name":"users","dtype":"int64"},{"name":"statuses","dtype":"string"},{"name":"connections","dtype":"int64"}]


hub_id: civility-lab/incivility-arizona-daily-star-comments
license: ["apache-2.0"]
language: ["en"]
config_name: default
tags:
["task_categories:text-classification","task_ids:multi-label-classification","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:apache-2.0","size_categories:1K<n<10K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","social media","incivility","aspersion","hyperbole","lying","namecalling","noncooperation","pejorative","sarcasm","vulgarity","croissant"]

column_names:
["text","aspersion","hyperbole","lying","namecalling","noncooperation","offtopic","other_incivility","pejorative","sarcasm","vulgarity","__index_level_0__"]

features:
[{"name":"text","dtype":"string"},{"name":"aspersion","dtype":"int64"},{"name":"hyperbole","dtype":"int64"},{"name":"lying","dtype":"int64"},{"name":"namecalling","dtype":"int64"},{"name":"noncooperation","dtype":"int64"},{"name":"offtopic","dtype":"int64"},{"name":"other_incivility","dtype":"int64"},{"name":"pejorative","dtype":"int64"},{"name":"sarcasm","dtype":"int64"},{"name":"vulgarity","dtype":"int64"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: joweyel/munzels
license: ["unknown"]
language: []
config_name: default
column_names: ["image"]
features: [{"name":"image","dtype":"image"}]
tags:
["license:unknown","size_categories:n<1K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: Aniemore/resd_annotated
license: ["mit"]
language: ["ru"]
config_name: default
column_names: ["name","path","speech","text","emotion"]
tags:
["task_categories:audio-classification","language:ru","license:mit","size_categories:1K<n<10K","parquet","audio","text","datasets","pandas","mlcroissant","doi:10.57967/hf/1272","region:us","voice","emotions","annotated","classification","croissant"]

features:
[{"name":"name","dtype":"string"},{"name":"path","dtype":"string"},{"name":"speech","dtype":"audio"},{"name":"text","dtype":"string"},{"name":"emotion","dtype":"string"}]


hub_id: HuggingFaceH4/pmp-se-test-dataset
license: ["cc-by-sa-4.0"]
language: []
config_name: default
column_names: ["qid","question","answers","date","metadata"]
tags:
["license:cc-by-sa-4.0","size_categories:10K<n<100K","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"qid","dtype":"int64"},{"name":"question","dtype":"string"},{"name":"answers","list":[{"name":"AnswerID","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"pm_score","dtype":"int64"},{"name":"selected","dtype":"bool"},{"name":"Author","dtype":"string"},{"name":"AuthorID","dtype":"int64"},{"name":"AuthorProfile","dtype":"string"}]},{"name":"date","dtype":"string"},{"name":"metadata","dtype":"string"}]


hub_id: brianarbuckle/cocktail_recipes
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["title","ingredients","directions","misc","source","ner"]
tags:
["task_categories:text2text-generation","task_categories:text-generation","task_categories:fill-mask","task_categories:text-retrieval","task_categories:summarization","task_ids:document-retrieval","task_ids:entity-linking-retrieval","task_ids:explanation-generation","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"title","dtype":"string"},{"name":"ingredients","sequence":"string"},{"name":"directions","sequence":"string"},{"name":"misc","sequence":"string"},{"name":"source","dtype":"string"},{"name":"ner","sequence":"string"}]


hub_id: sugam11/french-snli
license: []
language: []
config_name: default
column_names: ["premise","hypothesis","label","translated_premise","translated_hypothesis"]
features:
[{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"entailment","1":"neutral","2":"contradiction"}}}},{"name":"translated_premise","dtype":"string"},{"name":"translated_hypothesis","dtype":"string"}]


hub_id: maximedb/sick_nl
license: ["mit"]
language: ["nl"]
config_name: default
tags:
["task_categories:text-classification","language:nl","license:mit","size_categories:1K<n<10K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["pair_ID","sentence_A","sentence_B","entailment_label","relatedness_score","entailment_AB","entailment_BA","sentence_A_original","sentence_B_original","sentence_A_dataset","sentence_B_dataset","SemEval_set","label","label_seq2seq"]

features:
[{"name":"pair_ID","dtype":"int64"},{"name":"sentence_A","dtype":"string"},{"name":"sentence_B","dtype":"string"},{"name":"entailment_label","dtype":"string"},{"name":"relatedness_score","dtype":"float64"},{"name":"entailment_AB","dtype":"string"},{"name":"entailment_BA","dtype":"string"},{"name":"sentence_A_original","dtype":"string"},{"name":"sentence_B_original","dtype":"string"},{"name":"sentence_A_dataset","dtype":"string"},{"name":"sentence_B_dataset","dtype":"string"},{"name":"SemEval_set","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"label_seq2seq","dtype":"string"}]


hub_id: tiro-is/ismus
license: []
language: []
config_name: default
column_names: ["audio_id","audio","normalized_text"]
features:
[{"name":"audio_id","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"normalized_text","dtype":"string"}]


hub_id: HighCWu/diffusiondb_2m_first_5k_canny
license: ["openrail"]
language: ["en"]
config_name: default
column_names: ["image","guide","text"]
tags:
["task_categories:text-to-image","language:en","license:openrail","size_categories:1K<n<10K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"guide","dtype":"image"},{"name":"text","dtype":"string"}]


hub_id: emergentorder/StarTrekMemoryAlpha20230216
license: ["cc-by-nc-4.0"]
language: ["en"]
config_name: default
column_names: ["id","url","title","text"]
tags:
["task_categories:fill-mask","task_ids:masked-language-modeling","language_creators:found","multilinguality:monolingual","language:en","license:cc-by-nc-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","star trek","memory alpha","croissant"]


hub_id: bstds/home_depot
license: []
language: []
config_name: default
column_names: ["id","entity_id","name","query","relevance","description"]
features:
[{"name":"id","dtype":"int64"},{"name":"entity_id","dtype":"int64"},{"name":"name","dtype":"string"},{"name":"query","dtype":"string"},{"name":"relevance","dtype":"float64"},{"name":"description","dtype":"string"}]


hub_id: samitizerxu/large-algae-wirs
license: []
language: []
config_name: default
column_names: ["image","label","uid"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"1","1":"2","2":"3","3":"4","4":"5","5":"test"}}}},{"name":"uid","dtype":"string"}]


hub_id: LFBMS/class_dataset_real
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"bilanz_h","1":"bilanz_v","2":"guv","3":"kontennachweis_bilanz","4":"kontennachweis_guv","5":"other","6":"text"}}}}]


hub_id: LFBMS/class_dataset_real2
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"bilanz_h","1":"bilanz_v","2":"guv","3":"kontennachweis_bilanz","4":"kontennachweis_guv","5":"other"}}}}]


hub_id: LFBMS/class_dataset_real3
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"bilanz","1":"guv","2":"kontennachweis_bilanz","3":"kontennachweis_guv","4":"other"}}}}]


hub_id: lsb/pile
license: []
language: []
config_name: default
column_names: ["text","meta"]
features:
[{"name":"text","dtype":"string"},{"name":"meta","struct":[{"name":"pile_set_name","dtype":"string"}]}]


hub_id: LFBMS/class_dataset_real_donut
license: []
language: []
config_name: default
column_names: ["image","label","ground_truth"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"bilanz_h","1":"bilanz_v","2":"guv","3":"kontennachweis_bilanz","4":"kontennachweis_guv","5":"other","6":"text"}}}},{"name":"ground_truth","dtype":"string"}]


hub_id: LFBMS/class_dataset_real2_donut
license: []
language: []
config_name: default
column_names: ["image","label","ground_truth"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"bilanz_h","1":"bilanz_v","2":"guv","3":"kontennachweis_bilanz","4":"kontennachweis_guv","5":"other"}}}},{"name":"ground_truth","dtype":"string"}]


hub_id: LFBMS/class_dataset_real3_donut
license: []
language: []
config_name: default
column_names: ["image","label","ground_truth"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"bilanz","1":"guv","2":"kontennachweis_bilanz","3":"kontennachweis_guv","4":"other"}}}},{"name":"ground_truth","dtype":"string"}]


hub_id: HighCWu/mpii_100_openpose
license: ["bsd"]
language: ["en"]
config_name: default
column_names: ["image","guide","text"]
tags:
["task_categories:text-to-image","language:en","license:bsd","size_categories:n<1K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"guide","dtype":"image"},{"name":"text","dtype":"string"}]


hub_id: LucasThil/miniwobplusplus_train
license: []
language: []
config_name: default
column_names: ["episodes","actions","refs"]
features:
[{"name":"episodes","dtype":"string"},{"name":"actions","dtype":"string"},{"name":"refs","dtype":"int64"}]


hub_id: justinian336/salvadoran-news-elsalvadorgram
license: []
language: []
config_name: default
column_names: ["image_src","title","content","category","link"]
features:
[{"name":"image_src","dtype":"string"},{"name":"title","dtype":"string"},{"name":"content","dtype":"string"},{"name":"category","dtype":{"class_label":{"names":{"0":"Internacional","1":"Nacional","2":"Arte y Cultura","3":"Espect\u00e1culos","4":"Trends","5":"Econom\u00eda","6":"Negocios","7":"Tips","8":"Deportes","9":"Pol\u00edtica","10":"Cine y TV","11":"Turismo"}}}},{"name":"link","dtype":"string"}]


hub_id: bigcode/santacoder-token-usage
license: []
language: []
config_name: default
column_names: ["token","Java","JavaScript","Python"]
tags:
["size_categories:10K<n<100K","parquet","tabular","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"token","dtype":"int64"},{"name":"Java","dtype":"int64"},{"name":"JavaScript","dtype":"int64"},{"name":"Python","dtype":"int64"}]


hub_id: jonathan-roberts1/RSD46-WHU
license: ["other"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["license:other","size_categories:10K<n<100K","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"airplane","1":"airport","2":"artificial dense forest land","3":"artificial sparse forest land","4":"bare land","5":"basketball court","6":"blue structured factory building","7":"building","8":"construction site","9":"cross river bridge","10":"crossroads","11":"dense tall building","12":"dock","13":"fish pond","14":"footbridge","15":"graff","16":"grassland","17":"irregular farmland","18":"low scattered building","19":"medium density scattered building","20":"medium density structured building","21":"natural dense forest land","22":"natural sparse forest land","23":"oil tank","24":"overpass","25":"parking lot","26":"plastic greenhouse","27":"playground","28":"railway","29":"red structured factory building","30":"refinery","31":"regular farmland","32":"scattered blue roof factory building","33":"scattered red roof factory building","34":"sewage plant-type-one","35":"sewage plant-type-two","36":"ship","37":"solar power station","38":"sparse residential area","39":"square","40":"steelworks","41":"storage land","42":"tennis court","43":"thermal power plant","44":"vegetable plot","45":"water"}}}}]


hub_id: jonathan-roberts1/Optimal-31
license: ["other"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["task_categories:image-classification","task_categories:zero-shot-image-classification","license:other","size_categories:1K<n<10K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"airplane","1":"airport","2":"baseball diamond","3":"basketball court","4":"beach","5":"bridge","6":"chaparral","7":"church","8":"circular farmland","9":"commercial area","10":"dense residential","11":"desert","12":"forest","13":"freeway","14":"golf course","15":"ground track field","16":"harbor","17":"industrial area","18":"intersection","19":"island","20":"lake","21":"meadow","22":"medium residential","23":"mobile home park","24":"mountain","25":"overpass","26":"parking lot","27":"railway","28":"rectangular farmland","29":"roundabout","30":"runway"}}}}]


hub_id: jonathan-roberts1/Airbus-Wind-Turbines-Patches
license: ["other"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["license:other","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":"no wind turbine","1":"wind turbine"}}}}]


hub_id: tj-solergibert/SRV-Europarl-ST-processed-mt-es
license: []
language: []
config_name: default
column_names: ["source_text","dest_text","dest_lang"]
features:
[{"name":"source_text","dtype":"string"},{"name":"dest_text","dtype":"string"},{"name":"dest_lang","dtype":"string"}]


hub_id: jonathan-roberts1/Ships-In-Satellite-Imagery
license: ["cc-by-sa-4.0"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["license:cc-by-sa-4.0","size_categories:1K<n<10K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"an entire ship","1":"no ship or part of a ship"}}}}]


hub_id: jonathan-roberts1/Satellite-Images-of-Hurricane-Damage
license: ["cc-by-4.0"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["license:cc-by-4.0","size_categories:1M<n<10M","parquet","image","datasets","pandas","mlcroissant","arxiv:1807.01688","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"flooded or damaged buildings","1":"undamaged buildings"}}}}]


hub_id: tj-solergibert/SRV-T5-Europarl-mt-es
license: []
language: []
config_name: default
column_names: ["source_text","dest_text","dest_lang","input_ids","attention_mask","labels"]
features:
[{"name":"source_text","dtype":"string"},{"name":"dest_text","dtype":"string"},{"name":"dest_lang","dtype":"string"},{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"},{"name":"labels","sequence":"int64"}]


hub_id: biglam/early_printed_books_with_multiple_font_groups
license: ["cc-by-nc-4.0"]
language: []
config_name: default
column_names: ["image","main_font","other_fonts"]
tags:
["task_categories:image-classification","license:cc-by-nc-4.0","size_categories:10K<n<100K","region:us","lam ","books","font-detection"]

features:
[{"name":"image","dtype":"image"},{"name":"main_font","dtype":{"class_label":{"names":{"0":0,"1":1,"2":2,"3":3,"4":4,"5":5,"6":6,"7":7,"8":8,"9":9,"10":10,"11":11,"12":12,"13":"greek","14":"schwabacher","15":"hebrew","16":"textura","17":"italic","18":"other_font","19":"antiqua","20":"not_a_font","21":"gotico_antiqua","22":"fraktur","23":"rotunda","24":"bastarda"}}}},{"name":"other_fonts","sequence":"string"}]


hub_id: Finnish-NLP/Reddit_fi_2006_2022
license: ["apache-2.0"]
language: ["fi"]
config_name: default
tags:
["task_categories:text-generation","language:fi","license:apache-2.0","size_categories:1M<n<10M","parquet","tabular","text","datasets","dask","mlcroissant","region:us","social","reddit","Finnish","croissant"]

column_names:
["subreddit","created_utc","score","body","predicted_language","probability","year","day","month","time","label_identity_attack","label_insult","label_obscene","label_severe_toxicity","label_threat","label_toxicity","__index_level_0__"]

features:
[{"name":"subreddit","dtype":"string"},{"name":"created_utc","dtype":"int64"},{"name":"score","dtype":"int32"},{"name":"body","dtype":"string"},{"name":"predicted_language","dtype":"string"},{"name":"probability","dtype":"float64"},{"name":"year","dtype":"float64"},{"name":"day","dtype":"float64"},{"name":"month","dtype":"float64"},{"name":"time","dtype":"string"},{"name":"label_identity_attack","dtype":"float64"},{"name":"label_insult","dtype":"float64"},{"name":"label_obscene","dtype":"float64"},{"name":"label_severe_toxicity","dtype":"float64"},{"name":"label_threat","dtype":"float64"},{"name":"label_toxicity","dtype":"float64"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: nuprl/MultiPL-E-synthetic-solutions
license: ["openrail"]
language: ["en"]
config_name: default
column_names: ["name","language","prompt","solution"]
tags:
["language:en","license:openrail","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"name","dtype":"string"},{"name":"language","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"solution","dtype":"string"}]


hub_id: thercyl/ADBE
license: []
language: []
config_name: default
column_names: ["Unnamed: 0","Ticker","Year","Text","Embedding"]
features:
[{"name":"Unnamed: 0","dtype":"float64"},{"name":"Ticker","dtype":"string"},{"name":"Year","dtype":"string"},{"name":"Text","dtype":"string"},{"name":"Embedding","dtype":"string"}]


hub_id: davidberenstein1957/ray-summit-classy
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["text","label"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"BUSINESS","1":"SCI/TECH","2":"SPORTS","3":"WORLD"}}}}]


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

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


hub_id: shahules786/prosocial_augmented
license: []
language: ["en"]
config_name: default
tags:
["task_categories:text-classification","language:en","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["Human","Assistant","episode_done","task_description","min_harmlessness_score_transcript","task_descripton_harmlessness_score","safety_label","confidence","rots"]

features:
[{"name":"Human","dtype":"string"},{"name":"Assistant","dtype":"string"},{"name":"episode_done","dtype":"bool"},{"name":"task_description","dtype":"string"},{"name":"min_harmlessness_score_transcript","dtype":"float64"},{"name":"task_descripton_harmlessness_score","dtype":"float64"},{"name":"safety_label","dtype":"string"},{"name":"confidence","dtype":"float64"},{"name":"rots","sequence":"string"}]


hub_id: spacerini/gpt2-outputs
license: []
language: []
config_name: default
column_names: ["id","text","length","ended","source"]
features:
[{"name":"id","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"length","dtype":"int64"},{"name":"ended","dtype":"bool"},{"name":"source","dtype":"string"}]


hub_id: jhonparra18/alvarouribevel-tweets
license: []
language: []
config_name: default
column_names: ["Date","User","Tweet"]
features:
[{"name":"Date","dtype":"string"},{"name":"User","dtype":"string"},{"name":"Tweet","dtype":"string"}]


hub_id: jlbaker361/asdf
license: []
language: []
config_name: default
column_names: ["image","src","split"]
features:
[{"name":"image","dtype":"image"},{"name":"src","dtype":"string"},{"name":"split","dtype":"string"}]


hub_id: DylanonWic/common_voice_10_1_th_augmented_pitch
license: []
language: []
config_name: default
column_names: ["sentence","input_ids","input_values"]
tags:
["size_categories:10K<n<100K","parquet","text","timeseries","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"sentence","dtype":"string"},{"name":"input_ids","sequence":"int32"},{"name":"input_values","sequence":"float32"}]


hub_id: AigizK/bashkir-russian-parallel-corpora
license: ["cc-by-4.0"]
language: ["ba","ru"]
config_name: default
column_names: ["ba","ru","corpus"]
features: [{"name":"ba","dtype":"string"},{"name":"ru","dtype":"string"},{"name":"corpus","dtype":"string"}]
tags:
["task_categories:translation","language:ba","language:ru","license:cc-by-4.0","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: LucasThil/miniwob_actions_onhot
license: []
language: []
config_name: default
column_names: ["episodes","refs","click","dblclick","keydown","keypress","keyup","mousedown","mouseup","scroll"]
features:
[{"name":"episodes","dtype":"string"},{"name":"refs","dtype":"int64"},{"name":"click","dtype":"int64"},{"name":"dblclick","dtype":"int64"},{"name":"keydown","dtype":"int64"},{"name":"keypress","dtype":"int64"},{"name":"keyup","dtype":"int64"},{"name":"mousedown","dtype":"int64"},{"name":"mouseup","dtype":"int64"},{"name":"scroll","dtype":"int64"}]


hub_id: vietgpt/news_summarization_vi
license: []
language: ["vi"]
config_name: default
column_names: ["content","summary"]
features: [{"name":"content","dtype":"string"},{"name":"summary","dtype":"string"}]
tags:
["task_categories:summarization","language:vi","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","LM","croissant"]


hub_id: davanstrien/model_cards_with_readmes_with_duplicates
license: []
language: []
config_name: default
column_names:
["repo_id","author","model_type","files_per_repo","downloads_30d","library","likes","pipeline","pytorch","tensorflow","jax","license","languages","datasets","co2","prs_count","prs_open","prs_merged","prs_closed","discussions_count","discussions_open","discussions_closed","tags","has_model_index","has_metadata","has_text","text_length","readme"]

features:
[{"name":"repo_id","dtype":"string"},{"name":"author","dtype":"string"},{"name":"model_type","dtype":"string"},{"name":"files_per_repo","dtype":"int64"},{"name":"downloads_30d","dtype":"int64"},{"name":"library","dtype":"string"},{"name":"likes","dtype":"int64"},{"name":"pipeline","dtype":"string"},{"name":"pytorch","dtype":"bool"},{"name":"tensorflow","dtype":"bool"},{"name":"jax","dtype":"bool"},{"name":"license","dtype":"string"},{"name":"languages","dtype":"string"},{"name":"datasets","dtype":"string"},{"name":"co2","dtype":"string"},{"name":"prs_count","dtype":"int64"},{"name":"prs_open","dtype":"int64"},{"name":"prs_merged","dtype":"int64"},{"name":"prs_closed","dtype":"int64"},{"name":"discussions_count","dtype":"int64"},{"name":"discussions_open","dtype":"int64"},{"name":"discussions_closed","dtype":"int64"},{"name":"tags","dtype":"string"},{"name":"has_model_index","dtype":"bool"},{"name":"has_metadata","dtype":"bool"},{"name":"has_text","dtype":"bool"},{"name":"text_length","dtype":"int64"},{"name":"readme","dtype":"string"}]


hub_id: emozilla/sat-reading
license: []
language: ["en"]
config_name: default
column_names: ["text","answer","requires_line","id"]
tags:
["language:en","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"requires_line","dtype":"bool"},{"name":"id","dtype":"string"}]


hub_id: CarperAI/github-diffs-deduped
license: ["mit"]
language: []
config_name: default
tags:
["license:mit","size_categories:10M<n<100M","parquet","tabular","text","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["id","text","addition_count","commit_subject","deletion_count","file_extension","lang","license","repo_name"]

features:
[{"name":"id","dtype":"string"},{"name":"text","dtype":"string"},{"name":"addition_count","dtype":"int64"},{"name":"commit_subject","dtype":"string"},{"name":"deletion_count","dtype":"int64"},{"name":"file_extension","dtype":"string"},{"name":"lang","dtype":"string"},{"name":"license","dtype":"string"},{"name":"repo_name","dtype":"string"}]


hub_id: deprem-private/intent_test_v13_anonymized
license: []
language: []
config_name: default
column_names: ["image_url","label","label_confidence","labeler","label_creation_time"]
features:
[{"name":"image_url","dtype":"string"},{"name":"label","sequence":"string"},{"name":"label_confidence","sequence":"float64"},{"name":"labeler","dtype":"string"},{"name":"label_creation_time","dtype":"int64"}]


hub_id: lsb/enwiki20230101-pageid-minilml6v2embeddings
license: []
language: []
config_name: default
column_names: ["id","text","minilml6v2"]
tags:
["size_categories:10M<n<100M","parquet","text","timeseries","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"minilml6v2","sequence":"float32"}]


hub_id: Nadav/CaribbeanScans
license: []
language: []
config_name: default
column_names: ["image","label"]
tags:
["size_categories:1M<n<10M","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

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


hub_id: koutch/stackoverflow_python
license: []
language: ["en"]
config_name: default
tags:
["task_categories:question-answering","language:en","size_categories:100M<n<1B","parquet","tabular","text","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["title","question_id","question_body","question_score","question_date","answer_id","answer_body","answer_score","answer_date","tags"]

features:
[{"name":"title","dtype":"string"},{"name":"question_id","dtype":"int64"},{"name":"question_body","dtype":"string"},{"name":"question_score","dtype":"int64"},{"name":"question_date","dtype":"string"},{"name":"answer_id","dtype":"int64"},{"name":"answer_body","dtype":"string"},{"name":"answer_score","dtype":"int64"},{"name":"answer_date","dtype":"string"},{"name":"tags","sequence":"string"}]


hub_id: voiceintelligenceresearch/MOCKS
license: ["cc-by-4.0","mpl-2.0"]
language: ["en","de","es","fr","it"]
config_name: config
column_names: ["audio_id","audio","text"]
tags:
["annotations_creators:expert-generated","multilinguality:multilingual","language:en","language:de","language:es","language:fr","language:it","license:cc-by-4.0","license:mpl-2.0","region:us"]

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


hub_id: rasgaard/FTRACE-Synth
license: []
language: []
config_name: default
column_names: ["inputs_pretokenized","targets_pretokenized","uuid","proponents"]
features:
[{"name":"inputs_pretokenized","dtype":"string"},{"name":"targets_pretokenized","dtype":"string"},{"name":"uuid","dtype":"string"},{"name":"proponents","sequence":"string"}]


hub_id: christopher/kaggle-kernels-metadata
license: []
language: []
config_name: default
column_names:
["Id","download_link","AuthorUserId","CurrentKernelVersionId","ForkParentKernelVersionId","ForumTopicId","FirstKernelVersionId","CreationDate","EvaluationDate","MadePublicDate","IsProjectLanguageTemplate","CurrentUrlSlug","Medal","MedalAwardDate","TotalViews","TotalComments","TotalVotes","UserName","DisplayName","RegisterDate","PerformanceTier"]

features:
[{"name":"Id","dtype":"int64"},{"name":"download_link","dtype":"string"},{"name":"AuthorUserId","dtype":"int64"},{"name":"CurrentKernelVersionId","dtype":"int64"},{"name":"ForkParentKernelVersionId","dtype":"int64"},{"name":"ForumTopicId","dtype":"int64"},{"name":"FirstKernelVersionId","dtype":"int64"},{"name":"CreationDate","dtype":"string"},{"name":"EvaluationDate","dtype":"string"},{"name":"MadePublicDate","dtype":"string"},{"name":"IsProjectLanguageTemplate","dtype":"bool"},{"name":"CurrentUrlSlug","dtype":"string"},{"name":"Medal","dtype":"int64"},{"name":"MedalAwardDate","dtype":"string"},{"name":"TotalViews","dtype":"int64"},{"name":"TotalComments","dtype":"int64"},{"name":"TotalVotes","dtype":"int64"},{"name":"UserName","dtype":"string"},{"name":"DisplayName","dtype":"string"},{"name":"RegisterDate","dtype":"string"},{"name":"PerformanceTier","dtype":"int64"}]


hub_id: ecoue/nordmann2023
license: ["unknown"]
language: ["de","en"]
config_name: balanced
column_names: ["translation"]
features: [{"name":"translation","dtype":{"translation":{"languages":["de","en"]}}}]
tags:
["task_categories:translation","multilinguality:translation","language:de","language:en","license:unknown","size_categories:1M<n<10M","text","datasets","mlcroissant","doi:10.57967/hf/0386","region:us","europarl","newscommentary","wikititles","ecb","rapid","eesc","ema","europat","books","ted2020","qed","eubookshop","croissant"]


hub_id: navanchauhan/decimer-data-mini
license: ["openrail"]
language: []
config_name: default
column_names: ["image","smiles","selfies"]
tags:
["task_categories:image-to-text","license:openrail","size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"smiles","dtype":"string"},{"name":"selfies","dtype":"string"}]


hub_id: kastan/rlhf-qa-comparisons
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Question","Chosen","Rejected","__index_level_0__"]
features:
[{"name":"Question","dtype":"string"},{"name":"Chosen","dtype":"string"},{"name":"Rejected","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: lsb/enwiki20230101-pageid-minilml6v2embeddingsjson
license: []
language: []
config_name: default
column_names: ["id","text","minilml6v2"]
features:
[{"name":"id","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"minilml6v2","dtype":"string"}]


hub_id: svjack/context-dialogue-generate-ds-zh-v1
license: []
language: []
config_name: default
column_names: ["sent","dialogue","L_emb"]
features:
[{"name":"sent","dtype":"string"},{"name":"dialogue","sequence":"string"},{"name":"L_emb","sequence":"float32"}]


hub_id: Brendan/nlp244_french_snli
license: []
language: []
config_name: default
column_names: ["premise","hypothesis","label","fr_premise","fr_hypothesis"]
features:
[{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"entailment","1":"neutral","2":"contradiction"}}}},{"name":"fr_premise","dtype":"string"},{"name":"fr_hypothesis","dtype":"string"}]


hub_id: sayakpaul/instructpix2pix-demo
license: []
language: []
config_name: default
column_names: ["input","edit","output","image"]
tags:
["size_categories:n<1K","parquet","image","text","datasets","pandas","mlcroissant","arxiv:2211.09800","region:us","croissant"]

features:
[{"name":"input","dtype":"string"},{"name":"edit","dtype":"string"},{"name":"output","dtype":"string"},{"name":"image","dtype":"image"}]


hub_id: fathyshalab/reklambox_filtered
license: []
language: []
config_name: default
column_names: ["text","category","label_name","label","__index_level_0__"]
features:
[{"name":"text","dtype":"string"},{"name":"category","dtype":"string"},{"name":"label_name","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: fathyshalab/reklambox-filtered
license: []
language: []
config_name: default
column_names: ["text","category","label_name","label","__index_level_0__","sentence_length"]
features:
[{"name":"text","dtype":"string"},{"name":"category","dtype":"string"},{"name":"label_name","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"__index_level_0__","dtype":"int64"},{"name":"sentence_length","dtype":"int64"}]


hub_id: Riksarkivet/mini_raw_diachronic_swe
license: ["mit"]
language: ["sv"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["language:sv","license:mit","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","historical","WIP","croissant"]


hub_id: hotfinda/smithsonian_butterflies_subset
license: []
language: []
config_name: default
column_names:
["image_url","image_alt","id","name","scientific_name","gender","taxonomy","region","locality","date","usnm_no","guid","edan_url","source","stage","image","image_hash","sim_score"]

features:
[{"name":"image_url","dtype":"string"},{"name":"image_alt","dtype":"string"},{"name":"id","dtype":"string"},{"name":"name","dtype":"string"},{"name":"scientific_name","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"taxonomy","dtype":"string"},{"name":"region","dtype":"string"},{"name":"locality","dtype":"string"},{"name":"date","dtype":"string"},{"name":"usnm_no","dtype":"string"},{"name":"guid","dtype":"string"},{"name":"edan_url","dtype":"string"},{"name":"source","dtype":"string"},{"name":"stage","dtype":"float64"},{"name":"image","dtype":"image"},{"name":"image_hash","dtype":"string"},{"name":"sim_score","dtype":"float64"}]


hub_id: vietgpt/binhvq_news_vi
license: []
language: ["vi"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["task_categories:text-generation","language:vi","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","region:us","LM","croissant"]


hub_id: vietgpt/wikipedia_vi
license: []
language: ["vi"]
config_name: default
column_names: ["id","revid","url","title","text"]
tags:
["task_categories:text-generation","language:vi","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","LM","croissant"]

features:
[{"name":"id","dtype":"int64"},{"name":"revid","dtype":"string"},{"name":"url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: roa7n/patched_test_p_10_f_SPOUT_v4
license: []
language: []
config_name: default
column_names: ["id","sequence_str","label"]
features:
[{"name":"id","dtype":"string"},{"name":"sequence_str","dtype":"string"},{"name":"label","dtype":"int64"}]


hub_id: vietgpt/wikipedia_en
license: []
language: ["en"]
config_name: default
column_names: ["id","url","title","text"]
tags:
["task_categories:text-generation","language:en","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","LM","croissant"]


hub_id: vietgpt/open_subtitles_envi
license: []
language: ["en","vi"]
config_name: default
column_names: ["en","vi"]
features: [{"name":"en","dtype":"string"},{"name":"vi","dtype":"string"}]
tags:
["task_categories:translation","language:en","language:vi","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","region:us","LM","croissant"]


hub_id: vietgpt/ted_talks_iwslt_en
license: []
language: ["en"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["task_categories:text-generation","language:en","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","LM","croissant"]


hub_id: kastan/rlhf-qa-conditional-generation
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["prompt","completion","__index_level_0__"]
features:
[{"name":"prompt","dtype":"string"},{"name":"completion","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: Hobospider132/Mahiru-Proto
license: ["gpl-3.0"]
language: []
config_name: default
column_names: ["name","line"]
features: [{"name":"name","dtype":"string"},{"name":"line","dtype":"string"}]
tags:
["license:gpl-3.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: lansinuote/nlp.3.reading_for_understanding
license: []
language: []
config_name: default
column_names: ["input_ids","attention_mask","start_positions","end_positions"]
tags:
["size_categories:10K<n<100K","parquet","tabular","datasets","pandas","mlcroissant","region:us","croissant"]

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


hub_id: lansinuote/nlp.5.classification
tags: ["size_categories:10K<n<100K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["label","input_ids","attention_mask"]
features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"unacceptable","1":"acceptable"}}}},{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"}]


hub_id: mazkooleg/0-9up_google_speech_commands_augmented_raw
license: []
language: []
config_name: default
column_names: ["audio","label"]
tags:
["size_categories:1M<n<10M","parquet","audio","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"audio","dtype":"audio"},{"name":"label","dtype":{"class_label":{"names":{"0":"zero","1":"one","2":"two","3":"three","4":"four","5":"five","6":"six","7":"seven","8":"eight","9":"nine","10":"#unk#","11":"#pub#"}}}}]


hub_id: lansinuote/cv.1.image_classification
tags: ["size_categories:1K<n<10K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["labels","pixel_values"]
features:
[{"name":"labels","dtype":{"class_label":{"names":{"0":"angular_leaf_spot","1":"bean_rust","2":"healthy"}}}},{"name":"pixel_values","sequence":{"sequence":{"sequence":"float32"}}}]


hub_id: MartinKu/bookcorpus_stage2_relation_label
license: []
language: []
config_name: default
column_names: ["text","relation_label_list","start_point_list"]
features:
[{"name":"text","dtype":"string"},{"name":"relation_label_list","sequence":"int64"},{"name":"start_point_list","sequence":"int64"}]


hub_id: seokwoni/kr3_train_subset
license: []
language: []
config_name: default
column_names: ["labels","Review","en_review"]
features:
[{"name":"labels","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"Review","dtype":"string"},{"name":"en_review","dtype":"string"}]


hub_id: roszcz/fooset
tags: ["size_categories:n<1K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["pitch","velocity","start","end"]
features:
[{"name":"pitch","sequence":"int64"},{"name":"velocity","sequence":"int64"},{"name":"start","sequence":"float64"},{"name":"end","sequence":"float64"}]


tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","question","true_label","prediction"]
hub_id:
Multimodal-Fatima/VQAv2_sample_validation_facebook_opt_6.7b_mode_VQAv2_visclues_detection_ns_10_open_ended

features:
[{"name":"id","dtype":"int64"},{"name":"question","dtype":"string"},{"name":"true_label","sequence":"string"},{"name":"prediction","dtype":"string"}]


tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","question","true_label","prediction"]
hub_id:
Multimodal-Fatima/VQAv2_sample_validation_facebook_opt_6.7b_mode_VQAv2_visclues_detection_ns_20_open_ended

features:
[{"name":"id","dtype":"int64"},{"name":"question","dtype":"string"},{"name":"true_label","sequence":"string"},{"name":"prediction","dtype":"string"}]


hub_id: Supermaxman/esa-hubble
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
tags:
["task_categories:text-to-image","language:en","license:cc-by-4.0","size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","region:us","space","croissant"]

column_names:
["image","text","id","title","description","credits","url","Id","Type","Release date","Related releases","Size","Name","Distance","Constellation","Category","Position (RA)","Position (Dec)","Field of view","Orientation","width","height","file_size","crop_w","crop_h","cropped","Related science announcements","Related announcements"]

features:
[{"name":"image","dtype":"image"},{"name":"text","dtype":"string"},{"name":"id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"description","dtype":"string"},{"name":"credits","dtype":"string"},{"name":"url","dtype":"string"},{"name":"Id","dtype":"string"},{"name":"Type","dtype":"string"},{"name":"Release date","dtype":"string"},{"name":"Related releases","dtype":"string"},{"name":"Size","dtype":"string"},{"name":"Name","dtype":"string"},{"name":"Distance","dtype":"string"},{"name":"Constellation","dtype":"string"},{"name":"Category","dtype":"string"},{"name":"Position (RA)","dtype":"string"},{"name":"Position (Dec)","dtype":"string"},{"name":"Field of view","dtype":"string"},{"name":"Orientation","dtype":"string"},{"name":"width","dtype":"int64"},{"name":"height","dtype":"int64"},{"name":"file_size","dtype":"int64"},{"name":"crop_w","dtype":"int64"},{"name":"crop_h","dtype":"int64"},{"name":"cropped","dtype":"bool"},{"name":"Related science announcements","dtype":"string"},{"name":"Related announcements","dtype":"string"}]


