# datasets

hub_id: Uchenna/Testdataset
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["product","description","advert","ad"]
tags:
["language:en","license:mit","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"product","dtype":"string"},{"name":"description","dtype":"string"},{"name":"advert","dtype":"string"},{"name":"ad","dtype":"string"}]


hub_id: RamWithAPlan/preprocessed_yelp_for_bert
license: []
language: []
config_name: default
column_names: ["label","text","input_ids","token_type_ids","attention_mask"]
features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"1 star","1":"2 star","2":"3 stars","3":"4 stars","4":"5 stars"}}}},{"name":"text","dtype":"string"},{"name":"input_ids","sequence":"int32"},{"name":"token_type_ids","sequence":"int8"},{"name":"attention_mask","sequence":"int8"}]


hub_id: llm-book/aio-passages
license: ["cc-by-sa-3.0","gfdl"]
language: ["ja"]
config_name: default
column_names: ["id","pageid","revid","text","section","title"]
tags:
["language:ja","license:cc-by-sa-3.0","license:gfdl","size_categories:1M<n<10M","tabular","text","datasets","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"int32"},{"name":"pageid","dtype":"int32"},{"name":"revid","dtype":"int32"},{"name":"text","dtype":"string"},{"name":"section","dtype":"string"},{"name":"title","dtype":"string"}]


hub_id: c4lliope/us-congress
license: []
language: []
config_name: default
column_names:
["key","title","summaries","plaintext","sponsor","actions","amendments","committees","cosponsors","index","relatedbills","subjects","text","titles"]

features:
[{"name":"key","dtype":"string"},{"name":"title","dtype":"string"},{"name":"summaries","struct":[{"name":"pagination","struct":[{"name":"count","dtype":"int64"}]},{"name":"request","struct":[{"name":"billNumber","dtype":"string"},{"name":"billType","dtype":"string"},{"name":"billUrl","dtype":"string"},{"name":"congress","dtype":"string"},{"name":"contentType","dtype":"string"},{"name":"format","dtype":"string"}]},{"name":"summaries","list":[{"name":"actionDate","dtype":"string"},{"name":"actionDesc","dtype":"string"},{"name":"text","dtype":"string"},{"name":"updateDate","dtype":"string"},{"name":"versionCode","dtype":"string"}]}]},{"name":"plaintext","dtype":"string"},{"name":"sponsor","dtype":"string"},{"name":"actions","struct":[{"name":"actions","list":[{"name":"actionCode","dtype":"string"},{"name":"actionDate","dtype":"string"},{"name":"actionTime","dtype":"string"},{"name":"calendarNumber","struct":[{"name":"calendar","dtype":"string"},{"name":"number","dtype":"string"}]},{"name":"committees","list":[{"name":"name","dtype":"string"},{"name":"systemCode","dtype":"string"},{"name":"url","dtype":"string"}]},{"name":"recordedVotes","list":[{"name":"chamber","dtype":"string"},{"name":"congress","dtype":"int64"},{"name":"date","dtype":"string"},{"name":"rollNumber","dtype":"int64"},{"name":"sessionNumber","dtype":"int64"},{"name":"url","dtype":"string"}]},{"name":"sourceSystem","struct":[{"name":"code","dtype":"int64"},{"name":"name","dtype":"string"}]},{"name":"text","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"pagination","struct":[{"name":"count","dtype":"int64"}]},{"name":"request","struct":[{"name":"billNumber","dtype":"string"},{"name":"billType","dtype":"string"},{"name":"billUrl","dtype":"string"},{"name":"congress","dtype":"string"},{"name":"contentType","dtype":"string"},{"name":"format","dtype":"string"}]}]},{"name":"amendments","struct":[{"name":"amendments","list":[{"name":"congress","dtype":"int64"},{"name":"description","dtype":"string"},{"name":"latestAction","struct":[{"name":"actionDate","dtype":"string"},{"name":"actionTime","dtype":"string"},{"name":"text","dtype":"string"}]},{"name":"number","dtype":"string"},{"name":"purpose","dtype":"string"},{"name":"type","dtype":"string"},{"name":"updateDate","dtype":"string"},{"name":"url","dtype":"string"}]},{"name":"pagination","struct":[{"name":"count","dtype":"int64"}]},{"name":"request","struct":[{"name":"billNumber","dtype":"string"},{"name":"billType","dtype":"string"},{"name":"billUrl","dtype":"string"},{"name":"congress","dtype":"string"},{"name":"contentType","dtype":"string"},{"name":"format","dtype":"string"}]}]},{"name":"committees","struct":[{"name":"committees","list":[{"name":"activities","list":[{"name":"date","dtype":"string"},{"name":"name","dtype":"string"}]},{"name":"chamber","dtype":"string"},{"name":"name","dtype":"string"},{"name":"subcommittees","list":[{"name":"activities","list":[{"name":"date","dtype":"string"},{"name":"name","dtype":"string"}]},{"name":"name","dtype":"string"},{"name":"systemCode","dtype":"string"},{"name":"url","dtype":"string"}]},{"name":"systemCode","dtype":"string"},{"name":"type","dtype":"string"},{"name":"url","dtype":"string"}]},{"name":"request","struct":[{"name":"billNumber","dtype":"string"},{"name":"billType","dtype":"string"},{"name":"billUrl","dtype":"string"},{"name":"congress","dtype":"string"},{"name":"contentType","dtype":"string"},{"name":"format","dtype":"string"}]}]},{"name":"cosponsors","struct":[{"name":"cosponsors","list":[{"name":"bioguideId","dtype":"string"},{"name":"district","dtype":"int64"},{"name":"firstName","dtype":"string"},{"name":"fullName","dtype":"string"},{"name":"isOriginalCosponsor","dtype":"bool"},{"name":"lastName","dtype":"string"},{"name":"middleName","dtype":"string"},{"name":"party","dtype":"string"},{"name":"sponsorshipDate","dtype":"string"},{"name":"sponsorshipWithdrawnDate","dtype":"string"},{"name":"state","dtype":"string"},{"name":"url","dtype":"string"}]},{"name":"pagination","struct":[{"name":"count","dtype":"int64"},{"name":"countIncludingWithdrawnCosponsors","dtype":"int64"},{"name":"prev","dtype":"string"}]},{"name":"request","struct":[{"name":"billNumber","dtype":"string"},{"name":"billType","dtype":"string"},{"name":"billUrl","dtype":"string"},{"name":"congress","dtype":"string"},{"name":"contentType","dtype":"string"},{"name":"format","dtype":"string"}]}]},{"name":"index","struct":[{"name":"bill","struct":[{"name":"actions","struct":[{"name":"count","dtype":"int64"},{"name":"url","dtype":"string"}]},{"name":"amendments","struct":[{"name":"count","dtype":"int64"},{"name":"url","dtype":"string"}]},{"name":"cboCostEstimates","list":[{"name":"description","dtype":"string"},{"name":"pubDate","dtype":"string"},{"name":"title","dtype":"string"},{"name":"url","dtype":"string"}]},{"name":"committeeReports","list":[{"name":"citation","dtype":"string"},{"name":"url","dtype":"string"}]},{"name":"committees","struct":[{"name":"count","dtype":"int64"},{"name":"url","dtype":"string"}]},{"name":"congress","dtype":"int64"},{"name":"constitutionalAuthorityStatementText","dtype":"string"},{"name":"cosponsors","struct":[{"name":"count","dtype":"int64"},{"name":"countIncludingWithdrawnCosponsors","dtype":"int64"},{"name":"url","dtype":"string"}]},{"name":"introducedDate","dtype":"string"},{"name":"latestAction","struct":[{"name":"actionDate","dtype":"string"},{"name":"actionTime","dtype":"string"},{"name":"text","dtype":"string"}]},{"name":"laws","list":[{"name":"number","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"number","dtype":"string"},{"name":"originChamber","dtype":"string"},{"name":"policyArea","struct":[{"name":"name","dtype":"string"}]},{"name":"relatedBills","struct":[{"name":"count","dtype":"int64"},{"name":"url","dtype":"string"}]},{"name":"sponsors","list":[{"name":"bioguideId","dtype":"string"},{"name":"district","dtype":"int64"},{"name":"firstName","dtype":"string"},{"name":"fullName","dtype":"string"},{"name":"isByRequest","dtype":"string"},{"name":"lastName","dtype":"string"},{"name":"middleName","dtype":"string"},{"name":"party","dtype":"string"},{"name":"state","dtype":"string"},{"name":"url","dtype":"string"}]},{"name":"subjects","struct":[{"name":"count","dtype":"int64"},{"name":"url","dtype":"string"}]},{"name":"summaries","struct":[{"name":"count","dtype":"int64"},{"name":"url","dtype":"string"}]},{"name":"textVersions","struct":[{"name":"count","dtype":"int64"},{"name":"url","dtype":"string"}]},{"name":"title","dtype":"string"},{"name":"titles","struct":[{"name":"count","dtype":"int64"},{"name":"url","dtype":"string"}]},{"name":"type","dtype":"string"},{"name":"updateDate","dtype":"string"},{"name":"updateDateIncludingText","dtype":"string"}]},{"name":"request","struct":[{"name":"billNumber","dtype":"string"},{"name":"billType","dtype":"string"},{"name":"congress","dtype":"string"},{"name":"contentType","dtype":"string"},{"name":"format","dtype":"string"}]}]},{"name":"relatedbills","struct":[{"name":"pagination","struct":[{"name":"count","dtype":"int64"}]},{"name":"relatedBills","list":[{"name":"congress","dtype":"int64"},{"name":"latestAction","struct":[{"name":"actionDate","dtype":"string"},{"name":"actionTime","dtype":"string"},{"name":"text","dtype":"string"}]},{"name":"number","dtype":"int64"},{"name":"relationshipDetails","list":[{"name":"identifiedBy","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"title","dtype":"string"},{"name":"type","dtype":"string"},{"name":"url","dtype":"string"}]},{"name":"request","struct":[{"name":"billNumber","dtype":"string"},{"name":"billType","dtype":"string"},{"name":"billUrl","dtype":"string"},{"name":"congress","dtype":"string"},{"name":"contentType","dtype":"string"},{"name":"format","dtype":"string"}]}]},{"name":"subjects","struct":[{"name":"pagination","struct":[{"name":"count","dtype":"int64"}]},{"name":"request","struct":[{"name":"billNumber","dtype":"string"},{"name":"billType","dtype":"string"},{"name":"billUrl","dtype":"string"},{"name":"congress","dtype":"string"},{"name":"contentType","dtype":"string"},{"name":"format","dtype":"string"}]},{"name":"subjects","struct":[{"name":"legislativeSubjects","list":[{"name":"name","dtype":"string"}]},{"name":"policyArea","struct":[{"name":"name","dtype":"string"}]}]}]},{"name":"text","struct":[{"name":"pagination","struct":[{"name":"count","dtype":"int64"}]},{"name":"request","struct":[{"name":"billNumber","dtype":"string"},{"name":"billType","dtype":"string"},{"name":"billUrl","dtype":"string"},{"name":"congress","dtype":"string"},{"name":"contentType","dtype":"string"},{"name":"format","dtype":"string"}]},{"name":"textVersions","list":[{"name":"date","dtype":"string"},{"name":"formats","list":[{"name":"type","dtype":"string"},{"name":"url","dtype":"string"}]},{"name":"type","dtype":"string"}]}]},{"name":"titles","struct":[{"name":"pagination","struct":[{"name":"count","dtype":"int64"}]},{"name":"request","struct":[{"name":"billNumber","dtype":"string"},{"name":"billType","dtype":"string"},{"name":"billUrl","dtype":"string"},{"name":"congress","dtype":"string"},{"name":"contentType","dtype":"string"},{"name":"format","dtype":"string"}]},{"name":"titles","list":[{"name":"billTextVersionCode","dtype":"string"},{"name":"billTextVersionName","dtype":"string"},{"name":"chamberCode","dtype":"string"},{"name":"chamberName","dtype":"string"},{"name":"title","dtype":"string"},{"name":"titleType","dtype":"string"}]}]}]


hub_id: Multimodal-Fatima/Sample_vqa_test
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","DETA_detections_deta_swin_large_o365_coco_classes","LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14","DETA_detections_deta_swin_large_o365_coco_classes_ViT_L_14","DETA_detections_deta_swin_large_o365_clip_ViT_L_14","DETA_detections_deta_swin_large_o365_clip_ViT_L_14_blip_caption","new_info_captions3","DETA_detections_deta_swin_large_o365_clip_ViT_L_14_blip_caption_caption_module","DETA_detections_deta_swin_large_o365_clip_ViT_L_14_blip_caption_caption_module_without_filtering","clip_tags_LAION_ViT_H_14_2B","LLM_Description_gpt3_downstream_tasks_visual_genome_LAION-ViT-H-14-2B","DETA_detections_deta_swin_large_o365_clip_ViT_L_14_blip_caption_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_beam_5_Salesforce_blip2_flan_t5_xxl","DETA_detections_deta_swin_large_o365_coco_classes_caption_all_patches_Salesforce_blip_image_captioning_large_","DETA_detections_deta_swin_large_o365_coco_classes_caption_all_patches_Salesforce_blip_image_captioning_large_clean","blip_caption_topk_50_Salesforce_blip_image_captioning_base_multiple","DETA_detections_deta_swin_large_o365_clip_caption_all_patches_Salesforce_blip_image_captioning_large__ViT_L_14"]

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":"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":"LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14","sequence":"string"},{"name":"DETA_detections_deta_swin_large_o365_coco_classes_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","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":"new_info_captions3","list":[{"name":"attribute","dtype":"string"},{"name":"box","sequence":"float64"},{"name":"caption","dtype":"string"},{"name":"captions_module","sequence":{"sequence":"string"}},{"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_caption_module","list":[{"name":"attribute","dtype":"string"},{"name":"box","sequence":"float64"},{"name":"caption","dtype":"string"},{"name":"captions_module","sequence":"string"},{"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_caption_module_without_filtering","list":[{"name":"attribute","dtype":"string"},{"name":"box","sequence":"float64"},{"name":"caption","dtype":"string"},{"name":"captions_module","sequence":"string"},{"name":"label","dtype":"string"},{"name":"location","dtype":"string"},{"name":"ratio","dtype":"float64"},{"name":"size","dtype":"string"},{"name":"tag","dtype":"string"}]},{"name":"clip_tags_LAION_ViT_H_14_2B","sequence":"string"},{"name":"LLM_Description_gpt3_downstream_tasks_visual_genome_LAION-ViT-H-14-2B","sequence":"string"},{"name":"DETA_detections_deta_swin_large_o365_clip_ViT_L_14_blip_caption_caption_module_random","list":[{"name":"attribute","dtype":"string"},{"name":"box","sequence":"float64"},{"name":"caption","dtype":"string"},{"name":"captions_module","sequence":"string"},{"name":"captions_module_filter","sequence":"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":"Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full","sequence":"string"},{"name":"clip_tags_ViT_L_14_with_openai","sequence":"string"},{"name":"clip_tags_LAION_ViT_H_14_2B_with_openai","sequence":"string"},{"name":"blip_caption_beam_5_Salesforce_blip2_flan_t5_xxl","dtype":"string"},{"name":"DETA_detections_deta_swin_large_o365_coco_classes_caption_all_patches_Salesforce_blip_image_captioning_large_","list":[{"name":"attribute","dtype":"string"},{"name":"box","sequence":"float64"},{"name":"captions_all_patches","sequence":"string"},{"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_coco_classes_caption_all_patches_Salesforce_blip_image_captioning_large_clean","list":[{"name":"attribute","dtype":"string"},{"name":"box","sequence":"float64"},{"name":"captions_all_patches","sequence":"string"},{"name":"label","dtype":"string"},{"name":"location","dtype":"string"},{"name":"ratio","dtype":"float64"},{"name":"size","dtype":"string"},{"name":"tag","dtype":"string"}]},{"name":"blip_caption_topk_50_Salesforce_blip_image_captioning_base_multiple","sequence":"string"},{"name":"DETA_detections_deta_swin_large_o365_clip_caption_all_patches_Salesforce_blip_image_captioning_large__ViT_L_14","list":[{"name":"attribute","dtype":"string"},{"name":"box","sequence":"float64"},{"name":"captions_all_patches","sequence":"string"},{"name":"label","dtype":"string"},{"name":"location","dtype":"string"},{"name":"ratio","dtype":"float64"},{"name":"size","dtype":"string"},{"name":"tag","dtype":"string"}]}]


hub_id: will33am/default_test
license: []
language: []
config_name: default
column_names: ["id","image","prompt","true_label","prediction"]
features:
[{"name":"id","dtype":"int64"},{"name":"image","dtype":"image"},{"name":"prompt","dtype":"string"},{"name":"true_label","sequence":"string"},{"name":"prediction","dtype":"string"}]


hub_id: coding-assistant-custom/dummy-dataset-sayak
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["reponame","filepath","content"]
features:
[{"name":"reponame","dtype":"string"},{"name":"filepath","dtype":"string"},{"name":"content","dtype":"string"}]


hub_id: ParsaKgvr/socce_report_analysis
license: []
language: []
config_name: default
column_names:
["Unnamed: 0","sent0","sent1","sent2","sent3","sent4","sent5","sent6","sent7","sent8","sent9","sent10","sent11","sent12","sent13","sent14","sent15","sent16","sent17","sent18","sent19","sent20","sent21","sent22","sent23","sent24","sent25","sent26","sent27","sent28","sent29","sent30","sent31","sent32","sent33","sent34","sent35","sent36","sent37","sent38","sent39","sent40","sent41","sent42","sent43","sent44","sent45","sent46","sent47","sent48","sent49","sent50","sent51","sent52","sent53","sent54","sent55","sent56","sent57","sent58","sent59","sent60","sent61","sent62","sent63","sent64","sent65","sent66","sent67","sent68","sent69","sent70","sent71","sent72","sent73","sent74","sent75","sent76","sent77","sent78","sent79","sent80","sent81","sent82","sent83","sent84","sent85","sent86","sent87","sent88","sent89","sent90","sent91","sent92","sent93","sent94","sent95","sent96","sent97","sent98","sent99","sent100","sent101","sent102","sent103","sent104","sent105","sent106","sent107","sent108","sent109","sent110","sent111","sent112","sent113","sent114","sent115","sent116","sent117","sent118","sent119","sent120","sent121","sent122","sent123","sent124","sent125","sent126","sent127","sent128","sent129","sent130","sent131","sent132","sent133","sent134","sent135","sent136","player0","rating0","player1","rating1","player2","rating2","player3","rating3","player4","rating4","player5","rating5","player6","rating6","player7","rating7","player8","rating8","player9","rating9","player10","rating10","player11","rating11","player12","rating12","player13","rating13","player14","rating14","player15","rating15","player16","rating16","player17","rating17","player18","rating18","player19","rating19","player20","rating20","player21","rating21","player22","rating22","player23","rating23","player24","rating24","player25","rating25","player26","rating26","player27","rating27","player28","rating28","player29","rating29","player30","rating30","player31","rating31","player32","rating32","player33","rating33"]

features:
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hub_id: erberry/github-lll
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config_name: default
column_names: ["Unnamed: 0","fname","text"]
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hub_id: Amselco/ohjeet
license: []
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config_name: default
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hub_id: llm-book/aio-passages-bpr-bert-base-japanese-v3
license: ["cc-by-sa-3.0","gfdl"]
language: ["ja"]
config_name: default
column_names: ["id","pageid","revid","text","section","title","embeddings"]
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hub_id: TrainingDataPro/outdoor_garbage
tags: ["task_categories:image-classification","language:en","license:cc-by-nd-4.0","region:us","code"]
license: ["cc-by-nd-4.0"]
language: ["en"]
config_name: default
column_names: ["image_id","image","annotations"]
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hub_id: blindsubmissions/GH_text2code
license: []
language: ["en"]
config_name: default
tags:
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hub_id: arubenruben/cnn_dailymail_azure_pt_pt
license: []
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config_name: default
column_names: ["document","summary"]
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hub_id: derpyplops/counterfact-lm-neg
license: []
language: []
config_name: default
column_names:
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hub_id: PierreVie/mm_reviews
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
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hub_id: musabg/wikipedia-tr-summarization
license: []
language: ["tr"]
config_name: default
column_names: ["text","summary"]
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hub_id: codeparrot/instructhumaneval
license: []
language: []
config_name: default
column_names:
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hub_id: maneshkarun/nlp
tags: ["license:mit","region:us"]
license: ["mit"]
language: []
config_name: default
column_names: ["text","title","hyperpartisan","url","published_at","bias","word_count"]
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hub_id: zaanind/sinhala_englsih_parrel_corpus
license: ["gpl"]
language: ["si","en"]
config_name: default
column_names: ["english","sinhala"]
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hub_id: AlekseyKorshuk/guanaco-english
license: []
language: []
config_name: default
column_names: ["instruction","input","output","lang"]
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hub_id: maneshkarun/median-3000
license: ["mit"]
language: []
config_name: default
column_names:
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hub_id: Tristan/default_test
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language: []
config_name: default
column_names: ["id","image","prompt","true_label","prediction"]
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hub_id: wellesley-easel/StudentEval
license: ["openrail"]
language: ["en"]
config_name: default
tags:
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hub_id: lgfunderburk/numpy-docs
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hub_id: HuggingFaceM4/flickr30k_support_query_sets
tags: ["region:us"]
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language: []
config_name: default
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hub_id: GePaSud/TROPICAL
license: ["mit"]
language: ["fr"]
config_name: overlapping_subset
column_names: ["id_comment","words","triplets","general_polarity"]
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hub_id: Deojoandco/ah_openai_dialog_v3
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config_name: default
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hub_id: Kamaljp/krea-openprompt
license: ["cc-by-2.0"]
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config_name: default
column_names: ["seq1","seq2","__index_level_0__"]
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hub_id: Deojoandco/reddit_ah_dialog_turns_train
license: []
language: []
config_name: default
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hub_id: Deojoandco/ah_openai_dialog_annotation_v3
license: []
language: []
config_name: default
column_names:
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hub_id: Deojoandco/ah_full_dialog_annotation
license: []
language: []
config_name: default
column_names:
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hub_id: Multimodal-Fatima/Sample_vqa_test_for_colab
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language: []
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hub_id: Tristan/Sample_vqa_test_for_colab
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language: []
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features:
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hub_id: emily49/hateful_memes_test
license: []
language: []
config_name: default
column_names: ["image","id","img","text"]
features:
[{"name":"image","dtype":"image"},{"name":"id","dtype":"int64"},{"name":"img","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: vietgpt-archive/OSCAR-2301
license: []
language: []
config_name: default
column_names: ["id","text","url","date","perplexity"]
features:
[{"name":"id","dtype":"string"},{"name":"text","dtype":"string"},{"name":"url","dtype":"string"},{"name":"date","dtype":"string"},{"name":"perplexity","dtype":"float64"}]


hub_id: csdc-atl/query-document-retrieval-full
license: ["cc-by-sa-4.0"]
language: []
config_name: default
column_names: ["query","positive","negative"]
tags:
["license:cc-by-sa-4.0","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"query","sequence":"string"},{"name":"positive","dtype":"string"},{"name":"negative","sequence":"string"}]


hub_id: Salama1429/tarteel-ai-everyayah-Quran
license: ["mit"]
language: ["ar"]
config_name: default
column_names: ["audio","duration","text","reciter"]
tags:
["task_categories:automatic-speech-recognition","annotations_creators:expert-generated","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:ar","license:mit","size_categories:10K<n<100K","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"audio","dtype":"audio"},{"name":"duration","dtype":"float64"},{"name":"text","dtype":"string"},{"name":"reciter","dtype":"string"}]


hub_id: arbml/Ashaar_tafeelah
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["sequence","tafeelah","meter"]
features:
[{"name":"sequence","dtype":"string"},{"name":"tafeelah","dtype":"string"},{"name":"meter","dtype":"string"}]


hub_id: tasksource/winodict
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
tags:
["language:en","license:cc-by-4.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:2209.12153","region:us","croissant"]

column_names:
["id","lemma","fake_lemma","pos","tag","pronoun","definition","sentence","option1","option2","label"]

features:
[{"name":"id","dtype":"string"},{"name":"lemma","dtype":"string"},{"name":"fake_lemma","dtype":"string"},{"name":"pos","dtype":"string"},{"name":"tag","dtype":"string"},{"name":"pronoun","dtype":"string"},{"name":"definition","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"option1","dtype":"string"},{"name":"option2","dtype":"string"},{"name":"label","dtype":"int64"}]


hub_id: shrinath-suresh/pytorch-discuss-tutorial-346
license: []
language: []
config_name: default
column_names: ["question","answer","context","source"]
features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"context","dtype":"string"},{"name":"source","dtype":"string"}]


hub_id: dvilasuero/comparison-data-falcon
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["instruction","response-1","response-2","choose-best","external_id"]
features:
[{"name":"instruction","dtype":"string","id":"field"},{"name":"response-1","dtype":"string","id":"field"},{"name":"response-2","dtype":"string","id":"field"},{"name":"choose-best","sequence":[{"name":"user_id","dtype":"string"},{"name":"value","dtype":"int32"},{"name":"status","dtype":"string"}],"id":"question"},{"name":"external_id","dtype":"string","id":"external_id"}]


hub_id: CertifiedJoon/Korean-Instruction
license: ["cdla-permissive-2.0"]
language: ["ko"]
config_name: default
column_names: ["Instruction","Response","Source","MetaData"]
tags:
["task_categories:question-answering","language:ko","license:cdla-permissive-2.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"Instruction","dtype":"string"},{"name":"Response","dtype":"string"},{"name":"Source","dtype":"string"},{"name":"MetaData","dtype":"string"}]


hub_id: nicholasKluge/instruct-aira-dataset
license: ["apache-2.0"]
language: ["pt","en","es"]
config_name: default
column_names: ["prompt","completion"]
features: [{"name":"prompt","dtype":"string"},{"name":"completion","dtype":"string"}]
tags:
["task_categories:text-generation","language:pt","language:en","language:es","license:apache-2.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","arxiv:2406.11039","region:us","alignment","instruction","chat","croissant"]


hub_id: JonasGeiping/the_pile_WordPiecex32768_97b8e776baafb99c3892e6572a9f51b3
license: []
language: []
config_name: default
column_names: ["input_ids"]
features: [{"name":"input_ids","sequence":"int32"}]
tags:
["size_categories:10M<n<100M","parquet","datasets","dask","mlcroissant","arxiv:2212.14034","arxiv:2101.00027","arxiv:2201.07311","region:us","croissant"]


hub_id: irow/ClothingControlV2
license: []
language: []
config_name: default
column_names: ["image","text","conditioning_image","detailed_text","instruct_prompt","reverse_instruction"]
features:
[{"name":"image","dtype":"image"},{"name":"text","dtype":"string"},{"name":"conditioning_image","dtype":"image"},{"name":"detailed_text","dtype":"string"},{"name":"instruct_prompt","dtype":"string"},{"name":"reverse_instruction","dtype":"string"}]


hub_id: amitness/maltese-news-nli-random
license: []
language: []
config_name: default
column_names: ["title","text","label"]
features:
[{"name":"title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"not_entailment","1":"entailment"}}}}]


hub_id: nicholasKluge/reward-aira-dataset
license: ["apache-2.0"]
language: ["pt","en"]
config_name: default
column_names: ["instruction","chosen_response","rejected_response"]
tags:
["task_categories:text-classification","language:pt","language:en","license:apache-2.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:2406.11039","region:us","reward model","instruction","alignment","croissant"]

features:
[{"name":"instruction","dtype":"string"},{"name":"chosen_response","dtype":"string"},{"name":"rejected_response","dtype":"string"}]


hub_id: nicholasKluge/toxic-aira-dataset
license: ["apache-2.0"]
language: ["pt","en"]
config_name: default
column_names: ["instruction","chosen_response","rejected_response"]
tags:
["task_categories:text-classification","language:pt","language:en","license:apache-2.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:2406.11039","region:us","toxicity","harm","croissant"]

features:
[{"name":"instruction","dtype":"string"},{"name":"chosen_response","dtype":"string"},{"name":"rejected_response","dtype":"string"}]


hub_id: peterwilli/audio-maister
license: ["openrail"]
language: []
config_name: default
column_names: ["vocals","vocals_LR","effect","effect_aug_LR","vocals_aug_LR","noise_LR"]
tags:
["license:openrail","size_categories:10K<n<100K","parquet","audio","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"vocals","dtype":"audio"},{"name":"vocals_LR","dtype":"audio"},{"name":"effect","dtype":"audio"},{"name":"effect_aug_LR","dtype":"audio"},{"name":"vocals_aug_LR","dtype":"audio"},{"name":"noise_LR","dtype":"audio"}]


hub_id: acmc/beamit-annotated-full-texts-dataset
license: []
language: []
config_name: default
column_names:
["title","pmid","background_abstract","background_abstract_label","methods_abstract","methods_abstract_label","results_abstract","results_abstract_label","conclusions_abstract","conclusions_abstract_label","mesh_descriptor_names","pmcid","background_title","background_text","methods_title","methods_text","results_title","results_text","conclusions_title","conclusions_text","other_sections_titles","other_sections_texts","other_sections_sec_types","all_sections_titles","all_sections_texts","all_sections_sec_types","keywords","whole_article_text","whole_article_abstract","background_conclusion_text","background_conclusion_abstract","whole_article_text_length","whole_article_abstract_length","num_sections","most_frequent_words","keybert_topics","annotated_base_background_abstract_prompt","annotated_base_methods_abstract_prompt","annotated_base_results_abstract_prompt","annotated_base_conclusions_abstract_prompt","annotated_base_whole_article_abstract_prompt","annotated_base_background_conclusion_abstract_prompt","annotated_keywords_background_abstract_prompt","annotated_keywords_methods_abstract_prompt","annotated_keywords_results_abstract_prompt","annotated_keywords_conclusions_abstract_prompt","annotated_keywords_whole_article_abstract_prompt","annotated_keywords_background_conclusion_abstract_prompt","annotated_mesh_background_abstract_prompt","annotated_mesh_methods_abstract_prompt","annotated_mesh_results_abstract_prompt","annotated_mesh_conclusions_abstract_prompt","annotated_mesh_whole_article_abstract_prompt","annotated_mesh_background_conclusion_abstract_prompt","annotated_keybert_background_abstract_prompt","annotated_keybert_methods_abstract_prompt","annotated_keybert_results_abstract_prompt","annotated_keybert_conclusions_abstract_prompt","annotated_keybert_whole_article_abstract_prompt","annotated_keybert_background_conclusion_abstract_prompt","annotated_most_frequent_background_abstract_prompt","annotated_most_frequent_methods_abstract_prompt","annotated_most_frequent_results_abstract_prompt","annotated_most_frequent_conclusions_abstract_prompt","annotated_most_frequent_whole_article_abstract_prompt","annotated_most_frequent_background_conclusion_abstract_prompt","annotated_tf_idf_background_abstract_prompt","annotated_tf_idf_methods_abstract_prompt","annotated_tf_idf_results_abstract_prompt","annotated_tf_idf_conclusions_abstract_prompt","annotated_tf_idf_whole_article_abstract_prompt","annotated_tf_idf_background_conclusion_abstract_prompt","annotated_entity_plan_background_abstract_prompt","annotated_entity_plan_methods_abstract_prompt","annotated_entity_plan_results_abstract_prompt","annotated_entity_plan_conclusions_abstract_prompt","annotated_entity_plan_whole_article_abstract_prompt","annotated_entity_plan_background_conclusion_abstract_prompt"]

features:
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hub_id: ejschwartz/oo-method-test
license: ["bsd"]
language: []
config_name: ejschwartz--oo-method-test
column_names: ["Binary","Addr","Name","Type","Disassembly"]
tags:
["task_categories:text-classification","license:bsd","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"Binary","dtype":"string"},{"name":"Addr","dtype":"string"},{"name":"Name","dtype":"string"},{"name":"Type","dtype":{"class_label":{"names":{"0":"func","1":"method"}}}},{"name":"Disassembly","dtype":"string"}]


hub_id: akufeldt/fr-gec-dataset
license: []
language: []
config_name: default
column_names: ["lang","sentence","modified","transformation","sec_transformation","__index_level_0__"]
features:
[{"name":"lang","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"modified","dtype":"string"},{"name":"transformation","dtype":"string"},{"name":"sec_transformation","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: gagan3012/areta_v3
license: []
language: []
config_name: default
column_names: ["text","detect_tags","correct_tags","len_text","len_detect_tags","len_correct_tags"]
features:
[{"name":"text","sequence":"string"},{"name":"detect_tags","sequence":"string"},{"name":"correct_tags","sequence":"string"},{"name":"len_text","dtype":"int64"},{"name":"len_detect_tags","dtype":"int64"},{"name":"len_correct_tags","dtype":"int64"}]


hub_id: htriedman/wikidb
license: []
language: []
config_name: default
column_names: ["title","description","query","extra_info","wikidb"]
features:
[{"name":"title","dtype":"string"},{"name":"description","dtype":"string"},{"name":"query","dtype":"string"},{"name":"extra_info","dtype":"string"},{"name":"wikidb","dtype":"string"}]


hub_id: gagan3012/areta_v4
license: []
language: []
config_name: default
column_names:
["text","detect_tags","correct_tags","error_tags","len_text","len_detect_tags","len_correct_tags","binary_tags","7_tags"]

features:
[{"name":"text","sequence":"string"},{"name":"detect_tags","sequence":"string"},{"name":"correct_tags","sequence":"string"},{"name":"error_tags","sequence":"string"},{"name":"len_text","dtype":"int64"},{"name":"len_detect_tags","dtype":"int64"},{"name":"len_correct_tags","dtype":"int64"},{"name":"binary_tags","sequence":"string"},{"name":"7_tags","sequence":"string"}]


hub_id: tjaffri/wikisql-generate
license: ["bsd-3-clause"]
language: []
config_name: default
column_names: ["input","table_info","sql_cmd"]
tags:
["license:bsd-3-clause","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"input","dtype":"string"},{"name":"table_info","dtype":"string"},{"name":"sql_cmd","dtype":"string"}]


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


hub_id: griffin/seahorse
license: []
language: []
config_name: default
column_names:
["gem_id","worker_lang","summary","model","comprehensible","repetition","grammar","attribution","main_ideas","conciseness","source"]

features:
[{"name":"gem_id","dtype":"string"},{"name":"worker_lang","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"model","dtype":"string"},{"name":"comprehensible","dtype":"int64"},{"name":"repetition","dtype":"int64"},{"name":"grammar","dtype":"int64"},{"name":"attribution","dtype":"int64"},{"name":"main_ideas","dtype":"int64"},{"name":"conciseness","dtype":"int64"},{"name":"source","dtype":"string"}]


hub_id: steviebarot/ph_er_dataset
license: []
language: []
config_name: default
column_names: ["audio","label"]
features:
[{"name":"audio","dtype":"audio"},{"name":"label","dtype":{"class_label":{"names":{"0":"angry","1":"sad","2":"well"}}}}]


hub_id: Multimodal-Fatima/VQAv2_minival_validation
license: []
language: []
config_name: default
column_names:
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features:
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alesforce_blip_image_captioning_base_intensive","sequence":"string"}]


hub_id: BAAI/COIG-PC
license: ["unknown"]
language: ["zh"]
config_name: default
column_names: ["instruction","input","output","split","task_name_in_eng","task_type","domain","other","filename"]
tags:
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features:
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hub_id: tasksource/scone
license: ["cc0-1.0"]
language: []
config_name: default
column_names: ["sentence1_edited","sentence2_edited","gold_label_edited"]
tags:
["task_categories:text-classification","task_ids:natural-language-inference","license:cc0-1.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:2305.19426","region:us","croissant"]

features:
[{"name":"sentence1_edited","dtype":"string"},{"name":"sentence2_edited","dtype":"string"},{"name":"gold_label_edited","dtype":"string"}]


hub_id: msamogh/sgd-indirect-utterances
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["train","val","test"]
features:
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hub_id: steviebarot/ph_er_dataset_binary
license: []
language: []
config_name: default
column_names: ["audio","label"]
features:
[{"name":"audio","dtype":"audio"},{"name":"label","dtype":{"class_label":{"names":{"0":"unwell","1":"well"}}}}]


hub_id: 0x7o/GCRL-flibusta
license: []
language: []
config_name: default
column_names: ["url","title","text"]
features:
[{"name":"url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: vietgpt/prm800k_en
license: []
language: []
config_name: default
column_names: ["problem","solution","answer","subject","level","unique_id"]
features:
[{"name":"problem","dtype":"string"},{"name":"solution","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"subject","dtype":"string"},{"name":"level","dtype":"int64"},{"name":"unique_id","dtype":"string"}]


hub_id: SupawitMarayat/bccd-raw
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"1","2":"2","3":"3","4":"4","5":"5"}}}}]


hub_id: polinaeterna/delays_class
license: []
language: []
config_name: default
column_names:
["vehicle_type","direction","weekday","temp","windspeed_max","windspeed_avg","precipitation","dew_point","humidity","hour","dayminute","delay","string_col","class_col"]

features:
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hub_id: Deojoandco/ah_openai_dialog_val_test
license: []
language: []
config_name: default
column_names:
["url","id","num_comments","name","title","body","score","upvote_ratio","distinguished","over_18","created_utc","comments","best_num_comments","query","dialog"]

features:
[{"name":"url","dtype":"string"},{"name":"id","dtype":"string"},{"name":"num_comments","dtype":"int64"},{"name":"name","dtype":"string"},{"name":"title","dtype":"string"},{"name":"body","dtype":"string"},{"name":"score","dtype":"int64"},{"name":"upvote_ratio","dtype":"float64"},{"name":"distinguished","dtype":"string"},{"name":"over_18","dtype":"bool"},{"name":"created_utc","dtype":"int64"},{"name":"comments","list":[{"name":"body","dtype":"string"},{"name":"created_utc","dtype":"float64"},{"name":"distinguished","dtype":"string"},{"name":"id","dtype":"string"},{"name":"permalink","dtype":"string"},{"name":"score","dtype":"int64"}]},{"name":"best_num_comments","dtype":"int64"},{"name":"query","dtype":"string"},{"name":"dialog","dtype":"string"}]


license: []
language: []
config_name: default
column_names: ["id","prompt","question","true_label","prediction"]
hub_id:
CVasNLPExperiments/VQAv2_minival_validation_google_flan_t5_xxl_mode_D_PNP_GENERIC_CM_Q_rices_ns_25994


hub_id: emily49/hateful_memes_train_dev
license: []
language: []
config_name: default
column_names: ["image","id","img","label","text"]
features:
[{"name":"image","dtype":"image"},{"name":"id","dtype":"int64"},{"name":"img","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"text","dtype":"string"}]


hub_id: ScottQu/Instruction_filtered_set
license: []
language: []
config_name: default
column_names: ["id","conversations","instruction","is_english"]
features:
[{"name":"id","dtype":"string"},{"name":"conversations","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]},{"name":"instruction","dtype":"string"},{"name":"is_english","dtype":"bool"}]


hub_id: ranWang/books_paragraph
license: []
language: []
config_name: default
column_names: ["raw_text","output_text","file_name","is_hard_linebreak"]
features:
[{"name":"raw_text","dtype":"string"},{"name":"output_text","dtype":"string"},{"name":"file_name","dtype":"string"},{"name":"is_hard_linebreak","sequence":"bool"}]


license: []
language: []
config_name: default
column_names: ["id","prompt","question","true_label","prediction"]
hub_id:
CVasNLPExperiments/VQAv2_minival_validation_google_flan_t5_xxl_mode_CM_D_PNP_GENERIC_Q_rices_ns_25994


hub_id: Cubpaw/voxelgym_5c_critic_42x42_50000
license: []
language: []
config_name: default
column_names: ["image","astar_path","pred_path"]
features:
[{"name":"image","dtype":"image"},{"name":"astar_path","dtype":"image"},{"name":"pred_path","dtype":"image"}]


hub_id: Liuyu/sentiment-classification
license: ["openrail"]
language: []
config_name: default
column_names: ["text","label"]
features: [{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"}]
tags:
["license:openrail","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: amay01/llm-sgd-dst8-training-data
license: []
language: []
config_name: default
column_names: ["output","input","instruction"]
features:
[{"name":"output","dtype":"string"},{"name":"input","dtype":"string"},{"name":"instruction","dtype":"string"}]


hub_id: ahishamm/ph2_vit_db
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"benign","1":"malignant"}}}}]


hub_id: guyhadad01/dataset
license: []
language: []
config_name: default
column_names: ["Column1","q_txt","attr_val"]
features:
[{"name":"Column1","dtype":"float64"},{"name":"q_txt","dtype":"string"},{"name":"attr_val","dtype":"float64"}]


hub_id: griffin/seahorse_zeroshot
license: []
language: []
config_name: default
column_names: ["gem_id","prompt","completion"]
features:
[{"name":"gem_id","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"completion","dtype":"string"}]


hub_id: datadrivenscience/movie-genre-prediction
license: []
language: []
config_name: default
column_names: ["id","movie_name","synopsis","genre"]
features:
[{"name":"id","dtype":"int64"},{"name":"movie_name","dtype":"string"},{"name":"synopsis","dtype":"string"},{"name":"genre","dtype":"string"}]


hub_id: maneshkarun/median3k_10000s
license: ["mit"]
language: []
config_name: default
tags:
["license:mit","size_categories:10K<n<100K","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["text","title","hyperpartisan","url","published_at","bias","word_count","cleaned_data","pos_tagged"]

features:
[{"name":"text","dtype":"string"},{"name":"title","dtype":"string"},{"name":"hyperpartisan","dtype":"bool"},{"name":"url","dtype":"string"},{"name":"published_at","dtype":"string"},{"name":"bias","dtype":{"class_label":{"names":{"0":"right","1":"right-center","2":"least","3":"left-center","4":"left"}}}},{"name":"word_count","dtype":"int64"},{"name":"cleaned_data","dtype":"string"},{"name":"pos_tagged","dtype":"string"}]


hub_id: HuggingFaceM4/VisDial
license: []
language: []
config_name: default
column_names: ["caption","dialog","image_path","global_image_id","anns_id","image"]
features:
[{"name":"caption","dtype":"string"},{"name":"dialog","sequence":{"sequence":"string"}},{"name":"image_path","dtype":"string"},{"name":"global_image_id","dtype":"string"},{"name":"anns_id","dtype":"string"},{"name":"image","dtype":"image"}]


hub_id: KShivendu/wikipedia-1k-cohere-openai-embeddings
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["id","title","text","url","wiki_id","views","paragraph_id","langs","cohere","openai"]
tags:
["language:en","license:mit","size_categories:1K<n<10K","parquet","tabular","text","timeseries","datasets","pandas","mlcroissant","region:us","openai","cohere","wikipedia","croissant"]

features:
[{"name":"id","dtype":"int32"},{"name":"title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"url","dtype":"string"},{"name":"wiki_id","dtype":"int32"},{"name":"views","dtype":"float32"},{"name":"paragraph_id","dtype":"int32"},{"name":"langs","dtype":"int32"},{"name":"cohere","sequence":"float32"},{"name":"openai","sequence":"float64"}]


hub_id: Weni/LLM-base-1.0.1
license: []
language: ["pt"]
config_name: default
column_names: ["id","question","resposta","context","correct_ans"]
tags:
["task_categories:question-answering","language:pt","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"int64"},{"name":"question","dtype":"string"},{"name":"resposta","dtype":"string"},{"name":"context","dtype":"string"},{"name":"correct_ans","dtype":"int64"}]


hub_id: theodor1289/wit_tiny
license: []
language: []
config_name: default
column_names:
["image_url","image","text","context_page_description","context_section_description","caption_alt_text_description"]

features:
[{"name":"image_url","dtype":"string"},{"name":"image","dtype":"image"},{"name":"text","dtype":"string"},{"name":"context_page_description","dtype":"string"},{"name":"context_section_description","dtype":"string"},{"name":"caption_alt_text_description","dtype":"string"}]


hub_id: hf-internal-testing/instructpix2pix-10-samples
license: []
language: []
config_name: default
column_names: ["input_image","edited_image","edit_prompt"]
features:
[{"name":"input_image","dtype":"image"},{"name":"edited_image","dtype":"image"},{"name":"edit_prompt","dtype":"string"}]


hub_id: hztang/GPTSummaryV2
license: []
language: []
config_name: default
column_names: ["text","summary","pmcid"]
features:
[{"name":"text","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"pmcid","dtype":"string"}]


hub_id: eduagarcia/portuguese_benchmark
license: []
language: ["pt"]
config_name: rrip
column_names: ["idx","sentence","label"]
tags:
["language:pt","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:2109.00904","region:us","croissant"]

features:
[{"name":"idx","dtype":"int32"},{"name":"sentence","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"1","1":"2","2":"3","3":"4","4":"5","5":"6","6":"7","7":"8"}}}}]


hub_id: zzzzhhh/test_data
license: ["unknown"]
language: ["en"]
config_name: axg
column_names: ["premise","hypothesis","idx","label"]
tags:
["task_categories:text-classification","task_categories:token-classification","task_categories:question-answering","task_ids:natural-language-inference","task_ids:word-sense-disambiguation","task_ids:coreference-resolution","task_ids:extractive-qa","annotations_creators:expert-generated","language_creators:other","multilinguality:monolingual","source_datasets:extended|other","language:en","license:unknown","size_categories:n<1K","json","text","datasets","dask","mlcroissant","region:us","superglue","NLU","natural language understanding","croissant"]

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


hub_id: Kamaljp/earnings_3000
license: []
language: []
config_name: default
column_names:
["symbol","date","id","fiscal_end","consensus_eps_forecast","high_eps_forecast","low_eps_forecast","no_of_estimates","up","down"]

features:
[{"name":"symbol","dtype":"string"},{"name":"date","dtype":"string"},{"name":"id","dtype":"int64"},{"name":"fiscal_end","dtype":"string"},{"name":"consensus_eps_forecast","dtype":"float64"},{"name":"high_eps_forecast","dtype":"float64"},{"name":"low_eps_forecast","dtype":"float64"},{"name":"no_of_estimates","dtype":"int64"},{"name":"up","dtype":"int64"},{"name":"down","dtype":"int64"}]


hub_id: WelfCrozzo/kupalinka
license: ["mit"]
language: ["be","en","ru"]
config_name: default
column_names: ["input","output","input_lang","output_lang"]
tags:
["task_categories:translation","language:be","language:en","language:ru","license:mit","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"input_lang","dtype":"string"},{"name":"output_lang","dtype":"string"}]


hub_id: ziq/ingredient_prompt_to_sugar_level
license: []
language: []
config_name: default
column_names: ["src","ingredients","sugar","prompt"]
features:
[{"name":"src","dtype":"string"},{"name":"ingredients","dtype":"string"},{"name":"sugar","dtype":"float64"},{"name":"prompt","dtype":"string"}]


hub_id: MohamedExperio/ICDAR2019
license: []
language: []
config_name: default
column_names: ["image","ground_truth"]
features:
[{"name":"image","dtype":"image"},{"name":"ground_truth","struct":[{"name":"gt_parses","sequence":"string"}]}]


hub_id: eunsxx/pokemon_image
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
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hub_id: tasksource/stepgame
license: ["mit"]
language: []
config_name: default
column_names: ["story","question","label","config"]
tags:
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features:
[{"name":"story","dtype":"string"},{"name":"question","dtype":"string"},{"name":"label","dtype":"string"},{"name":"config","dtype":"string"}]


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


hub_id: jenrajaseharan/job_and_cover_letter_dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["company","position","location","description","cover_letter"]
features:
[{"name":"company","dtype":"string"},{"name":"position","dtype":"string"},{"name":"location","dtype":"string"},{"name":"description","dtype":"string"},{"name":"cover_letter","dtype":"string"}]


hub_id: graelo/wikipedia
license: ["cc-by-sa-3.0","gfdl"]
config_name: 20230601.et
column_names: ["id","url","title","text"]
tags:
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hub_id: killah-t-cell/multi_controlnet_dataset
license: []
language: []
config_name: default
column_names: ["image","conditioning_image","caption"]
features:
[{"name":"image","dtype":"image"},{"name":"conditioning_image","dtype":"image"},{"name":"caption","dtype":"string"}]


hub_id: shellypeng/cartoon-captioned-datasets-salesforce-blip
license: []
language: []
config_name: default
column_names: ["image","text"]
features: [{"name":"image","dtype":"image"},{"name":"text","dtype":"string"}]
tags:
["size_categories:1K<n<10K","parquet","image","text","datasets","dask","mlcroissant","region:us","code","croissant"]


hub_id: nbtpj/td_qfs
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["cluster","documents","query_summ"]
features:
[{"name":"cluster","dtype":"string"},{"name":"documents","sequence":"string"},{"name":"query_summ","list":[{"name":"query","dtype":"string"},{"name":"summ","dtype":"string"}]}]


hub_id: tathagataraha/ficle
license: ["gpl-3.0"]
language: ["en"]
config_name: default
tags:
["task_categories:token-classification","task_categories:text-classification","task_categories:text-generation","language:en","license:gpl-3.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:2306.08872","region:us","span","explanation","croissant"]

column_names:
["Claim","Context","Source","Source Indices","Relation","Relation Indices","Target","Target Indices","Inconsistent Claim Component","Inconsistent Context-Span","Inconsistent Context-Span Indices","Inconsistency Type","Fine-grained Inconsistent Entity-Type","Coarse Inconsistent Entity-Type"]

features:
[{"name":"Claim","dtype":"string"},{"name":"Context","dtype":"string"},{"name":"Source","dtype":"string"},{"name":"Source Indices","dtype":"string"},{"name":"Relation","dtype":"string"},{"name":"Relation Indices","dtype":"string"},{"name":"Target","dtype":"string"},{"name":"Target Indices","dtype":"string"},{"name":"Inconsistent Claim Component","dtype":"string"},{"name":"Inconsistent Context-Span","dtype":"string"},{"name":"Inconsistent Context-Span Indices","dtype":"string"},{"name":"Inconsistency Type","dtype":"string"},{"name":"Fine-grained Inconsistent Entity-Type","dtype":"string"},{"name":"Coarse Inconsistent Entity-Type","dtype":"string"}]


hub_id: dnjdsxor21/sample
tags: ["size_categories:100K<n<1M","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input_ids","attention_mask","special_tokens_mask","ner_map"]
features:
[{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"},{"name":"special_tokens_mask","sequence":"int8"},{"name":"ner_map","sequence":"int64"}]


hub_id: ahazeemi/opus-medical-en-de
license: []
language: ["en","de"]
config_name: default
column_names: ["de","en"]
features: [{"name":"de","dtype":"string"},{"name":"en","dtype":"string"}]
tags:
["task_categories:translation","language:en","language:de","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","medical","croissant"]


hub_id: felixsaaro/test
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["image","name","frameType"]
tags:
["task_categories:text-to-image","language:en","license:apache-2.0","size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

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


hub_id: scholarly360/salestech_sales_qualification_framework_bant
license: []
language: []
config_name: default
column_names: ["text","label"]
features: [{"name":"text","dtype":"string"},{"name":"label","dtype":"string"}]
tags:
["size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","salestech","sales","croissant"]


hub_id: AlekseyScorpi/docs_on_several_languages
license: ["mit"]
language: ["az","be","en","et","fi","ka","ja","ko","kk","lv","lt","mn","no","pl","ru","uk","zh"]
config_name: default
column_names: ["image","label"]
tags:
["task_categories:text-classification","task_categories:translation","task_categories:feature-extraction","language:az","language:be","language:en","language:et","language:fi","language:ka","language:ja","language:ko","language:kk","language:lv","language:lt","language:mn","language:no","language:pl","language:ru","language:uk","language:zh","license:mit","size_categories:1K<n<10K","parquet","image","datasets","dask","mlcroissant","region:us","code","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"az","1":"by","2":"cn","3":"en","4":"es","5":"fn","6":"gr","7":"jp","8":"ko","9":"kz","10":"la","11":"li","12":"mo","13":"no","14":"pl","15":"ru","16":"ua"}}}}]


hub_id: Deojoandco/ah_openai_dialog_annotation_val_test
license: []
language: []
config_name: default
column_names:
["url","id","num_comments","name","title","body","score","upvote_ratio","distinguished","over_18","created_utc","comments","best_num_comments","query","dialog","annotation_error","annotation","__index_level_0__"]

features:
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hub_id: bjoernp/oscar2023_de_deduped
license: []
language: ["de"]
config_name: default
column_names: ["id","text","meta"]
tags:
["task_categories:text-generation","language:de","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","arxiv:2212.10440","region:us","croissant"]

features:
[{"name":"id","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"meta","struct":[{"name":"warc_headers","struct":[{"name":"warc-record-id","dtype":"string"},{"name":"warc-date","dtype":"string"},{"name":"content-type","dtype":"string"},{"name":"content-length","dtype":"int32"},{"name":"warc-type","dtype":"string"},{"name":"warc-identified-content-language","dtype":"string"},{"name":"warc-refers-to","dtype":"string"},{"name":"warc-target-uri","dtype":"string"},{"name":"warc-block-digest","dtype":"string"}]},{"name":"identification","struct":[{"name":"label","dtype":"string"},{"name":"prob","dtype":"float32"}]},{"name":"harmful_pp","dtype":"float32"},{"name":"tlsh","dtype":"string"},{"name":"quality_warnings","sequence":"string"},{"name":"categories","sequence":"string"},{"name":"sentence_identifications","list":[{"name":"label","dtype":"string"},{"name":"prob","dtype":"float32"}]}]}]


hub_id: text-machine-lab/constrained_language
license: []
language: []
config_name: default
column_names: ["TEXT"]
features: [{"name":"TEXT","dtype":"string"}]
tags:
["size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","arxiv:2305.17266","arxiv:1910.10683","arxiv:1511.02301","region:us","croissant"]


hub_id: bjoernp/the_stack_repo_languages
license: []
language: []
config_name: default
column_names: ["text_lang","confidence","repo_name"]
features:
[{"name":"text_lang","dtype":"string"},{"name":"confidence","dtype":"float64"},{"name":"repo_name","dtype":"string"}]


hub_id: bjoernp/the-stack-dedup-markdown-deu_Latn
license: []
language: []
config_name: default
column_names:
["hexsha","size","ext","lang","max_stars_repo_path","max_stars_repo_name","max_stars_repo_head_hexsha","max_stars_repo_licenses","max_stars_count","max_stars_repo_stars_event_min_datetime","max_stars_repo_stars_event_max_datetime","max_issues_repo_path","max_issues_repo_name","max_issues_repo_head_hexsha","max_issues_repo_licenses","max_issues_count","max_issues_repo_issues_event_min_datetime","max_issues_repo_issues_event_max_datetime","max_forks_repo_path","max_forks_repo_name","max_forks_repo_head_hexsha","max_forks_repo_licenses","max_forks_count","max_forks_repo_forks_event_min_datetime","max_forks_repo_forks_event_max_datetime","content","avg_line_length","max_line_length","alphanum_fraction","text_lang","confidence"]

features:
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hub_id: killah-t-cell/multi_controlnet_dataset_test
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"conditioning","1":"images"}}}}]


hub_id: Kamaljp/article_w_table
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["title","text","url","authors","timestamp","tags","tabled_format"]
features:
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hub_id: theodor1289/wit
license: []
language: []
config_name: default
column_names:
["image_url","image","text","context_page_description","context_section_description","caption_alt_text_description"]

features:
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hub_id: skeskinen/books3_basic_paragraphs
license: []
language: []
config_name: default
column_names: ["text","book","pos","smog_index"]
features:
[{"name":"text","dtype":"string"},{"name":"book","dtype":"string"},{"name":"pos","dtype":"float64"},{"name":"smog_index","dtype":"float64"}]


hub_id: maren-hugg/sustainability_ner
license: []
language: []
config_name: default
column_names: ["ner_tags","tokens"]
features:
[{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-PER","2":"I-PER","3":"B-ORG","4":"I-ORG","5":"B-LOC","6":"I-LOC"}}}},{"name":"tokens","sequence":"string"}]


hub_id: Deojoandco/reddit-ah-dialogturns-annotations
license: []
language: []
config_name: default
column_names: ["id","speaker","text","annotation"]
features:
[{"name":"id","dtype":"string"},{"name":"speaker","dtype":"string"},{"name":"text","dtype":"string"},{"name":"annotation","dtype":"string"}]


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


hub_id: hongboyang/OCNLI_instruction1
license: []
language: []
config_name: default
column_names: ["INPUT","OPTIONS","TARGET"]
features:
[{"name":"INPUT","dtype":"string"},{"name":"OPTIONS","sequence":"string"},{"name":"TARGET","dtype":"string"}]


hub_id: skeskinen/books3_basic_sentenses_paraphrased
license: []
language: []
config_name: default
column_names: ["text","book","pos","smog_index","paraphrase"]
features:
[{"name":"text","dtype":"string"},{"name":"book","dtype":"string"},{"name":"pos","dtype":"float64"},{"name":"smog_index","dtype":"float64"},{"name":"paraphrase","dtype":"string"}]


hub_id: TrainingDataPro/helmet_detection
tags: ["task_categories:image-classification","language:en","license:cc-by-nc-nd-4.0","region:us","code"]
license: ["cc-by-nc-nd-4.0"]
language: ["en"]
config_name: default
column_names: ["id","image","mask","bboxes"]
features:
[{"name":"id","dtype":"string"},{"name":"image","dtype":"image"},{"name":"mask","dtype":"image"},{"name":"bboxes","dtype":"string"}]


hub_id: truehealth/medicationqa
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Question","Focus (Drug)","Question Type","Answer","Section Title","URL"]
features:
[{"name":"Question","dtype":"string"},{"name":"Focus (Drug)","dtype":"string"},{"name":"Question Type","dtype":"string"},{"name":"Answer","dtype":"string"},{"name":"Section Title","dtype":"string"},{"name":"URL","dtype":"string"}]


hub_id: quocanh34/mental_health_dataset_1
license: []
language: []
config_name: default
column_names:
["author","body","created_utc","id","num_comments","score","subreddit","title","upvote_ratio","url"]

features:
[{"name":"author","dtype":"string"},{"name":"body","dtype":"string"},{"name":"created_utc","dtype":"string"},{"name":"id","dtype":"string"},{"name":"num_comments","dtype":"int64"},{"name":"score","dtype":"int64"},{"name":"subreddit","dtype":"string"},{"name":"title","dtype":"string"},{"name":"upvote_ratio","dtype":"float64"},{"name":"url","dtype":"string"}]


hub_id: Gae8J/modeling_v1
license: []
language: []
config_name: default
column_names: ["file","audio","label","is_unknown","youtube_id","youtube_url"]
features:
[{"name":"file","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"label","dtype":{"class_label":{"names":{"0":"howl","1":"growling","2":"bark","3":"panting","4":"whimper"}}}},{"name":"is_unknown","dtype":"bool"},{"name":"youtube_id","dtype":"string"},{"name":"youtube_url","dtype":"string"}]


hub_id: truehealth/liveqa
license: []
language: []
config_name: default
column_names: ["questionid","subject","message","focus","type","answerid","pairid","answer"]
features:
[{"name":"questionid","dtype":"string"},{"name":"subject","dtype":"string"},{"name":"message","dtype":"string"},{"name":"focus","dtype":"string"},{"name":"type","dtype":"string"},{"name":"answerid","dtype":"string"},{"name":"pairid","dtype":"string"},{"name":"answer","dtype":"string"}]


hub_id: deetsadi/processed_dwi
license: []
language: []
config_name: default
column_names: ["image","text","conditioning_image"]
features:
[{"name":"image","dtype":"image"},{"name":"text","dtype":"string"},{"name":"conditioning_image","dtype":"image"}]


hub_id: Ali-C137/Arabic_guanaco_oasst1
license: ["apache-2.0"]
language: ["ar"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["language:ar","license:apache-2.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: d0rj/curation-corpus
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["title","summary","url","date","article_content"]
tags:
["task_categories:summarization","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","news","summarization","croissant"]

features:
[{"name":"title","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"url","dtype":"string"},{"name":"date","dtype":"string"},{"name":"article_content","dtype":"string"}]


hub_id: vietgpt/c4_vi
license: []
language: []
config_name: default
column_names: ["text","timestamp","url","id","perplexity"]
features:
[{"name":"text","dtype":"string"},{"name":"timestamp","dtype":"string"},{"name":"url","dtype":"string"},{"name":"id","dtype":"string"},{"name":"perplexity","dtype":"float64"}]


hub_id: d0rj/curation-corpus-ru
license: ["cc-by-4.0"]
language: ["ru"]
config_name: default
column_names: ["title","summary","url","date","article_content"]
tags:
["task_categories:summarization","language_creators:translated","multilinguality:monolingual","source_datasets:d0rj/curation-corpus","language:ru","license:cc-by-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","news","summarization","croissant"]

features:
[{"name":"title","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"url","dtype":"string"},{"name":"date","dtype":"string"},{"name":"article_content","dtype":"string"}]


hub_id: Deojoandco/reddit-ah-dialog-annotations
license: []
language: []
config_name: default
column_names:
["url","id","num_comments","name","title","body","score","upvote_ratio","distinguished","over_18","created_utc","comments","best_num_comments","query","dialog","annotation_success","annotation_text"]

features:
[{"name":"url","dtype":"string"},{"name":"id","dtype":"string"},{"name":"num_comments","dtype":"int64"},{"name":"name","dtype":"string"},{"name":"title","dtype":"string"},{"name":"body","dtype":"string"},{"name":"score","dtype":"int64"},{"name":"upvote_ratio","dtype":"float64"},{"name":"distinguished","dtype":"string"},{"name":"over_18","dtype":"bool"},{"name":"created_utc","dtype":"int64"},{"name":"comments","list":[{"name":"body","dtype":"string"},{"name":"created_utc","dtype":"float64"},{"name":"distinguished","dtype":"string"},{"name":"id","dtype":"string"},{"name":"permalink","dtype":"string"},{"name":"score","dtype":"int64"}]},{"name":"best_num_comments","dtype":"int64"},{"name":"query","dtype":"string"},{"name":"dialog","dtype":"string"},{"name":"annotation_success","dtype":"bool"},{"name":"annotation_text","dtype":"string"}]


hub_id: AlekseyKorshuk/chai-experiment-v0-chatml
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["source","conversation"]
features:
[{"name":"source","dtype":"string"},{"name":"conversation","list":[{"name":"content","dtype":"string"},{"name":"do_train","dtype":"bool"},{"name":"role","dtype":"string"}]}]


hub_id: adhamelarabawy/islamic_art
license: []
language: []
config_name: default
column_names: ["caption","url","id","similarity","img"]
features:
[{"name":"caption","dtype":"string"},{"name":"url","dtype":"string"},{"name":"id","dtype":"int64"},{"name":"similarity","dtype":"float64"},{"name":"img","dtype":"image"}]


hub_id: dltdojo/ecommerce-faq-chatbot-dataset
license: []
language: []
config_name: default
column_names: ["a_hant","answer","question","q_hant"]
features:
[{"name":"a_hant","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"question","dtype":"string"},{"name":"q_hant","dtype":"string"}]


hub_id: Sunbird/Synthetic-Salt-Luganda-13-6-23
license: []
language: []
config_name: default
column_names: ["audio","sample_rate","transcription"]
features:
[{"name":"audio","sequence":{"sequence":"float32"}},{"name":"sample_rate","dtype":"int64"},{"name":"transcription","dtype":"string"}]


hub_id: Nadav/pixel_glue_mnli
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"1","2":"2"}}}}]


hub_id: zhili1990/KS_Ashare_announce_NER
license: []
language: []
config_name: default
column_names: ["text","entity_list","kstext"]
features:
[{"name":"text","dtype":"string"},{"name":"entity_list","list":[{"name":"type","sequence":"string"},{"name":"argument","dtype":"string"},{"name":"start","dtype":"int64"},{"name":"end","dtype":"int64"}]},{"name":"kstext","dtype":"string"}]


hub_id: RikRaes/common_voice_13_0_validated
license: []
language: []
config_name: default
column_names:
["client_id","path","sentence","up_votes","down_votes","age","gender","accents","variant","locale","segment"]

features:
[{"name":"client_id","dtype":"string"},{"name":"path","dtype":{"audio":{"sampling_rate":16000}}},{"name":"sentence","dtype":"string"},{"name":"up_votes","dtype":"int64"},{"name":"down_votes","dtype":"int64"},{"name":"age","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"accents","dtype":"string"},{"name":"variant","dtype":"string"},{"name":"locale","dtype":"string"},{"name":"segment","dtype":"string"}]


hub_id: xbgoose/dusha_extra_data
license: []
language: []
config_name: default
column_names: ["audio","emotion","duration","speaker_id"]
features:
[{"name":"audio","dtype":"audio"},{"name":"emotion","dtype":"string"},{"name":"duration","dtype":"float64"},{"name":"speaker_id","dtype":"string"}]


hub_id: lumenwrites/gdquest
license: []
language: []
config_name: default
column_names: ["path","sentence","audio"]
features:
[{"name":"path","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"audio","dtype":"audio"}]


hub_id: HuggingFaceM4/VizWiz-Sample
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["id","image","filename","question","answers","answers_original","answer_type","answerable"]
features:
[{"name":"id","dtype":"int32"},{"name":"image","dtype":"image"},{"name":"filename","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answers","sequence":"string"},{"name":"answers_original","list":[{"name":"answer","dtype":"string"},{"name":"answer_confidence","dtype":"string"}]},{"name":"answer_type","dtype":"string"},{"name":"answerable","dtype":"int32"}]


hub_id: DaryaCsu/cows
license: ["other"]
language: []
config_name: default
column_names: ["image"," weight"]
features: [{"name":"image","dtype":"image"},{"name":" weight","dtype":"int64"}]
tags:
["license:other","size_categories:n<1K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: nielsr/datacomp-small-10-rows
license: []
language: []
config_name: default
column_names:
["uid","url","text","original_width","original_height","clip_b32_similarity_score","clip_l14_similarity_score","face_bboxes","sha256"]

features:
[{"name":"uid","dtype":"string"},{"name":"url","dtype":"string"},{"name":"text","dtype":"string"},{"name":"original_width","dtype":"int64"},{"name":"original_height","dtype":"int64"},{"name":"clip_b32_similarity_score","dtype":"float32"},{"name":"clip_l14_similarity_score","dtype":"float32"},{"name":"face_bboxes","sequence":{"sequence":"float64"}},{"name":"sha256","dtype":"string"}]


hub_id: Abzu/RedPajama-Data-1T-arxiv-filtered
license: []
language: []
config_name: default
column_names: ["text","meta","red_pajama_subset"]
features:
[{"name":"text","dtype":"string"},{"name":"meta","dtype":"string"},{"name":"red_pajama_subset","dtype":"string"}]


hub_id: pvduy/rm_oa_hh
license: []
language: []
config_name: default
column_names: ["prompt","selected","rejected","source"]
features:
[{"name":"prompt","dtype":"string"},{"name":"selected","dtype":"string"},{"name":"rejected","dtype":"string"},{"name":"source","dtype":"string"}]


hub_id: stable-bias/professions-v2
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: default
column_names: ["profession","model","no","seed","image"]
tags:
["language:en","license:cc-by-sa-4.0","size_categories:100K<n<1M","parquet","image","text","datasets","dask","mlcroissant","arxiv:2301.13188","region:us","croissant"]

features:
[{"name":"profession","dtype":"string"},{"name":"model","dtype":"string"},{"name":"no","dtype":"int32"},{"name":"seed","dtype":"int32"},{"name":"image","dtype":"image"}]


hub_id: Babelscape/REDFM
license: ["cc-by-sa-4.0"]
language: ["ar","de","en","es","it","fr","zh"]
config_name: all_languages
column_names: ["docid","title","uri","lan","text","entities","relations"]
tags:
["task_categories:token-classification","language:ar","language:de","language:en","language:es","language:it","language:fr","language:zh","license:cc-by-sa-4.0","size_categories:10K<n<100K","text","datasets","mlcroissant","arxiv:2306.09802","region:us","croissant"]

features:
[{"name":"docid","dtype":"string"},{"name":"title","dtype":"string"},{"name":"uri","dtype":"string"},{"name":"lan","dtype":"string"},{"name":"text","dtype":"string"},{"name":"entities","list":[{"name":"uri","dtype":"string"},{"name":"surfaceform","dtype":"string"},{"name":"type","dtype":"string"},{"name":"start","dtype":"int32"},{"name":"end","dtype":"int32"}]},{"name":"relations","list":[{"name":"subject","struct":[{"name":"uri","dtype":"string"},{"name":"surfaceform","dtype":"string"},{"name":"type","dtype":"string"},{"name":"start","dtype":"int32"},{"name":"end","dtype":"int32"}]},{"name":"predicate","dtype":{"class_label":{"names":{"0":"country","1":"place of birth","2":"spouse","3":"country of citizenship","4":"instance of","5":"capital","6":"child","7":"shares border with","8":"author","9":"director","10":"occupation","11":"founded by","12":"league","13":"owned by","14":"genre","15":"named after","16":"follows","17":"headquarters location","18":"cast member","19":"manufacturer","20":"located in or next to body of water","21":"location","22":"part of","23":"mouth of the watercourse","24":"member of","25":"sport","26":"characters","27":"participant","28":"notable work","29":"replaces","30":"sibling","31":"inception"}}}},{"name":"object","struct":[{"name":"uri","dtype":"string"},{"name":"surfaceform","dtype":"string"},{"name":"type","dtype":"string"},{"name":"start","dtype":"int32"},{"name":"end","dtype":"int32"}]}]}]


hub_id: HuggingFaceM4/VisDial_modif
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["caption","dialog","image_path","global_image_id","anns_id","image","question","answer","context"]
features:
[{"name":"caption","dtype":"string"},{"name":"dialog","sequence":{"sequence":"string"}},{"name":"image_path","dtype":"string"},{"name":"global_image_id","dtype":"string"},{"name":"anns_id","dtype":"string"},{"name":"image","dtype":"image"},{"name":"question","dtype":"string"},{"name":"answer","sequence":"string"},{"name":"context","dtype":"string"}]


hub_id: Babelscape/SREDFM
license: ["cc-by-sa-4.0"]
language: ["ar","ca","de","el","en","es","fr","hi","it","ja","ko","nl","pl","pt","ru","sv","vi","zh"]
config_name: all_languages
column_names: ["docid","title","uri","lan","text","entities","relations"]
tags:
["task_categories:token-classification","language:ar","language:ca","language:de","language:el","language:en","language:es","language:fr","language:hi","language:it","language:ja","language:ko","language:nl","language:pl","language:pt","language:ru","language:sv","language:vi","language:zh","license:cc-by-sa-4.0","size_categories:10M<n<100M","text","datasets","mlcroissant","arxiv:2306.09802","region:us","croissant"]

features:
[{"name":"docid","dtype":"string"},{"name":"title","dtype":"string"},{"name":"uri","dtype":"string"},{"name":"lan","dtype":"string"},{"name":"text","dtype":"string"},{"name":"entities","list":[{"name":"uri","dtype":"string"},{"name":"surfaceform","dtype":"string"},{"name":"type","dtype":"string"},{"name":"start","dtype":"int32"},{"name":"end","dtype":"int32"}]},{"name":"relations","list":[{"name":"subject","dtype":"int32"},{"name":"predicate","dtype":"string"},{"name":"object","dtype":"int32"}]}]


hub_id: 9wimu9/translated_eli5_dataset_sin_v2
license: []
language: []
config_name: default
column_names: ["question","gold_answer","contexts","id"]
features:
[{"name":"question","dtype":"string"},{"name":"gold_answer","dtype":"string"},{"name":"contexts","sequence":"string"},{"name":"id","dtype":"string"}]


hub_id: Ar4ikov/civitai_sd_337_prompts
license: []
language: []
config_name: default
column_names: ["prompt","negativePrompt","full_prompt"]
features:
[{"name":"prompt","dtype":"string"},{"name":"negativePrompt","dtype":"string"},{"name":"full_prompt","dtype":"string"}]


hub_id: sdmattpotter/sdcctest
license: []
language: []
config_name: default
column_names:
["ITEMNO.","O","00000","Motion/Second","Recorder","action","drescpt","Meeting Type","Roll Call","Attendance","DateTimeDate","__index_level_0__"]

features:
[{"name":"ITEMNO.","dtype":"string"},{"name":"O","dtype":"string"},{"name":"00000","dtype":"float64"},{"name":"Motion/Second","dtype":"string"},{"name":"Recorder","dtype":"string"},{"name":"action","dtype":"string"},{"name":"drescpt","dtype":"string"},{"name":"Meeting Type","dtype":"string"},{"name":"Roll Call","dtype":"string"},{"name":"Attendance","dtype":"string"},{"name":"DateTimeDate","dtype":"timestamp[ns]"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: andersonbcdefg/anthropic-hh-rlhf-conversations-with-toxicities
license: []
language: []
config_name: default
column_names: ["messages","length","toxicity"]
features:
[{"name":"messages","sequence":"string"},{"name":"length","dtype":"int64"},{"name":"toxicity","dtype":"float64"}]


hub_id: osunlp/MagicBrush
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["img_id","turn_index","source_img","mask_img","instruction","target_img"]
tags:
["task_categories:text-to-image","task_categories:image-to-image","language:en","license:cc-by-4.0","size_categories:100K<n<1M","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"img_id","dtype":"string"},{"name":"turn_index","dtype":"int32"},{"name":"source_img","dtype":"image"},{"name":"mask_img","dtype":"image"},{"name":"instruction","dtype":"string"},{"name":"target_img","dtype":"image"}]


hub_id: vvtq/toy
license: []
language: []
config_name: default
column_names: ["image","noised","image_caption"]
features:
[{"name":"image","dtype":"image"},{"name":"noised","dtype":"image"},{"name":"image_caption","dtype":"string"}]


hub_id: ziq/ingredient_to_good_or_bad
license: []
language: []
config_name: default
column_names: ["src","ingredients","Good"]
features:
[{"name":"src","dtype":"string"},{"name":"ingredients","dtype":"string"},{"name":"Good","dtype":"bool"}]


hub_id: bdsaglam/musique
tags: ["arxiv:2108.00573","arxiv:1606.05250","arxiv:1910.07475","arxiv:1706.04115","region:us"]
license: []
language: []
config_name: full
column_names: ["id","paragraphs","question","question_decomposition","answer","answerable"]
features:
[{"name":"id","dtype":"string"},{"name":"paragraphs","sequence":[{"name":"idx","dtype":"int32"},{"name":"title","dtype":"string"},{"name":"paragraph_text","dtype":"string"},{"name":"is_supporting","dtype":"bool"}]},{"name":"question","dtype":"string"},{"name":"question_decomposition","sequence":[{"name":"id","dtype":"int32"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"paragraph_support_idx","dtype":"int32"}]},{"name":"answer","dtype":"string"},{"name":"answerable","dtype":"bool"}]


hub_id: ashnrk/cifar10_lt_r10_text
license: []
language: []
config_name: default
column_names: ["img","label","text_label"]
features:
[{"name":"img","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"airplane","1":"automobile","2":"bird","3":"cat","4":"deer","5":"dog","6":"frog","7":"horse","8":"ship","9":"truck"}}}},{"name":"text_label","dtype":"string"}]


hub_id: soddokayo/kmou-2016klp
license: []
language: []
config_name: default
column_names: ["sentence","tokens","ner_tags"]
features:
[{"name":"sentence","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":"int64"}]


hub_id: ademax/ocr_scan_vi_01
license: []
language: ["vi"]
config_name: default
column_names: ["image","text"]
features: [{"name":"image","dtype":"image"},{"name":"text","dtype":"string"}]
tags:
["language:vi","size_categories:1M<n<10M","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: tasksource/Boardgame-QA
license: ["cc-by-4.0"]
language: []
config_name: default
column_names: ["proof","example","label","rules","preferences","theory","goal","facts","config"]
tags:
["license:cc-by-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:2306.07934","region:us","croissant"]

features:
[{"name":"proof","dtype":"string"},{"name":"example","dtype":"string"},{"name":"label","dtype":"string"},{"name":"rules","dtype":"string"},{"name":"preferences","dtype":"string"},{"name":"theory","dtype":"string"},{"name":"goal","dtype":"string"},{"name":"facts","dtype":"string"},{"name":"config","dtype":"string"}]


hub_id: renumics/mnist-outlier
license: ["mit"]
language: ["en"]
config_name: default
tags:
["task_categories:image-classification","task_ids:multi-class-image-classification","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:extended|other-nist","language:en","license:mit","size_categories:10K<n<100K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["image","label","embedding_foundation","embedding_ft","outlier_score_ft","outlier_score_foundation","nn_image"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"1","2":"2","3":"3","4":"4","5":"5","6":"6","7":"7","8":"8","9":"9"}}}},{"name":"embedding_foundation","sequence":"float32"},{"name":"embedding_ft","sequence":"float32"},{"name":"outlier_score_ft","dtype":"float64"},{"name":"outlier_score_foundation","dtype":"float64"},{"name":"nn_image","struct":[{"name":"bytes","dtype":"binary"},{"name":"path","dtype":"null"}]}]


hub_id: lscpku/VITATECS
license: ["cc-by-4.0"]
language: []
config_name: Type
column_names: ["src_dataset","video_name","caption","counterfactual","aspect"]
tags:
["license:cc-by-4.0","size_categories:10K<n<100K","parquet","text","video","datasets","pandas","mlcroissant","arxiv:2311.17404","region:us","croissant"]

features:
[{"name":"src_dataset","dtype":"string"},{"name":"video_name","dtype":"string"},{"name":"caption","dtype":"string"},{"name":"counterfactual","dtype":"string"},{"name":"aspect","dtype":"string"}]


hub_id: agkphysics/AudioSet
license: ["cc-by-4.0"]
language: ["en"]
config_name: unbalanced
column_names: ["video_id","audio","labels","human_labels"]
tags:
["task_categories:audio-classification","size_categories:10K<n<100K","size_categories:1M<n<10M","source_datasets:original","language:en","license:cc-by-4.0","audio","region:us"]

features:
[{"name":"video_id","dtype":"string"},{"name":"audio","dtype":"audio"},{"name":"labels","sequence":"string"},{"name":"human_labels","sequence":"string"}]


hub_id: Deojoandco/reddit-ah-dialog-annotations_v5
license: []
language: []
config_name: default
column_names:
["url","id","num_comments","name","title","body","score","upvote_ratio","distinguished","over_18","created_utc","comments","best_num_comments","query","dialog","annotation_success","annotation_text","turns_generated"]

features:
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hub_id: TrainingDataPro/basketball_tracking
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hub_id: Deojoandco/dialogturns_not_generated_train
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hub_id: Deojoandco/dialogturns_not_generated_val
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hub_id: hongrui/mammogram_v_1
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hub_id: jlvdoorn/atco2-asr-atcosim
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hub_id: d0rj/full-hh-rlhf-ru
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hub_id: HuggingFaceM4/NoCaps_support_query_sets
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hub_id: marcusy/nlp_ah_dataset
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hub_id: open-source-metrics/preprocessed_pip
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hub_id: renumics/cifar10-outlier
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hub_id: renumics/cifar100-outlier
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hub_id: sdmattpotter/pandassdcctest
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hub_id: divergente/wikitext-ptbr-1
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hub_id: yezhengli9/wmt20
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hub_id: RajkNakka/github-issues-comments
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hub_id: arbml/Ashaar_ardui
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hub_id: dltdojo/park-tinystories-533k-em
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hub_id: v2run/invoices-donut-data-v1
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hub_id: Chaymaa/roi_counters
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hub_id: KimuGenie/KLUE_mrc_negative_train
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hub_id: aquib1011/maize-leaf-disease
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hub_id: Dublikunt/hent
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hub_id: HachiML/databricks-dolly-15k-ja-alpaca-format
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hub_id: gaeunseo/all_data_for_first_finetuning
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hub_id: baylitoo/hello
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hub_id: polinaeterna/delays_nans
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hub_id: tasksource/symbolic-instruction-tuning-sql
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["inputs","targets"]
features: [{"name":"inputs","dtype":"string"},{"name":"targets","dtype":"string"}]
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hub_id: amitness/logits-debug
tags: ["size_categories:10K<n<100K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["input_ids","token_type_ids","attention_mask","labels","teacher_logits","teacher_indices","teacher_mask_indices"]

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hub_id: tasksource/icl-symbol-tuning-instruct
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["task","inputs","targets","symbols"]
tags:
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features:
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hub_id: hs-knowledge/hatecheck-enriched
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: tomekkorbak/hh-rlhf_with_features
license: []
language: []
config_name: default
column_names:
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hub_id: sdmattpotter/dftest61523
license: ["mit"]
language: []
config_name: default
tags:
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column_names:
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hub_id: BrianWan221/trial
tags: ["size_categories:n<1K","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
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hub_id: project-sloth/captcha-images
license: ["wtfpl"]
language: []
config_name: default
column_names: ["image","solution"]
features: [{"name":"image","dtype":"image"},{"name":"solution","dtype":"string"}]
tags:
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hub_id: hs-knowledge/sbf-enriched
license: []
language: []
config_name: default
column_names:
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hub_id: AlekseyKorshuk/chai-experiment-v1-no-eos-mix-lmgym
license: []
language: []
config_name: default
column_names: ["message_id","input_text","response","output_text","user_id"]
features:
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hub_id: dltdojo/cpark-song-relax
license: []
language: []
config_name: default
column_names: ["story","summary","source","prompt","words","features","e5smallv2","lyrics"]
features:
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hub_id: arunboss/test
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["image","label","masterID"]
tags:
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hub_id: Akshita15/cubelelo_data
license: []
language: []
config_name: default
features:
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hub_id: alvarodt/falcon
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: tasksource/tydi-as2-balanced
license: []
language: []
config_name: default
column_names: ["Question","Title","Sentence","Label","config"]
features:
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hub_id: HausaNLP/HausaVG
license: ["cc-by-nc-sa-4.0"]
language: ["ha"]
config_name: default
column_names: ["image","X","Y","Width","Height","en_text","ha_text"]
tags:
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features:
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hub_id: HausaNLP/HausaVQA
license: ["cc-by-sa-4.0"]
language: []
config_name: default
column_names: ["image","qa_id","ques_en","ans_en","ques_ha","ans_ha"]
tags:
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hub_id: FidelOdok/SOFA_DOA_10_deg_meta
license: []
language: []
config_name: default
column_names: ["audio","label","dirx","diry","dirz","phi","theta"]
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hub_id: mcimpoi/alot
license: []
language: ["en"]
config_name: default
column_names: ["image","label"]
tags:
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hub_id: TCleo/3-banana-maturity
license: ["gpl-3.0"]
language: []
config_name: default
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tags:
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hub_id: d0rj/wikisum
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language: ["en"]
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hub_id: cenkersisman/viki_soru_cevap
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language: []
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column_names: ["answer","question","title"]
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hub_id: HuggingFaceM4/VizWiz_support_query_sets
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["image","filename","question","answers","answers_original","answer_type","answerable"]
features:
[{"name":"image","dtype":"image"},{"name":"filename","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answers","sequence":"string"},{"name":"answers_original","list":[{"name":"answer","dtype":"string"},{"name":"answer_confidence","dtype":"string"}]},{"name":"answer_type","dtype":"string"},{"name":"answerable","dtype":"int32"}]


hub_id: fazni/roles-based-on-skills
license: ["mit"]
language: []
config_name: default
column_names: ["Role","text","label","__index_level_0__"]
tags:
["license:mit","size_categories:1M<n<10M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"Role","dtype":"string"},{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: ethz-spylab/hh-harmless-train-with-rewards
license: []
language: []
config_name: default
column_names: ["chosen","rejected","chosen_reward","rejected_reward","correct","difference"]
tags:
["size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:2311.14455","region:us","croissant"]

features:
[{"name":"chosen","dtype":"string"},{"name":"rejected","dtype":"string"},{"name":"chosen_reward","dtype":"float32"},{"name":"rejected_reward","dtype":"float32"},{"name":"correct","dtype":"bool"},{"name":"difference","dtype":"float32"}]


hub_id: d0rj/alpaca-cleaned-ru
license: ["cc-by-4.0"]
language: ["ru"]
config_name: default
column_names: ["input","instruction","output"]
tags:
["task_categories:text-generation","language_creators:translated","multilinguality:monolingual","source_datasets:yahma/alpaca-cleaned","language:ru","license:cc-by-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","instruction-finetuning","croissant"]

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


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


hub_id: LukeSajkowski/products_ecommerce_embeddings
license: []
language: []
config_name: default
column_names: ["id","title","short_description","img_high","supplier","text","embeddings"]
features:
[{"name":"id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"short_description","dtype":"string"},{"name":"img_high","dtype":"string"},{"name":"supplier","dtype":"string"},{"name":"text","dtype":"string"},{"name":"embeddings","sequence":"float32"}]


hub_id: ahishamm/isic_vit_db_cropped
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"benign","1":"keratosis","2":"melanoma"}}}}]


hub_id: carlosejimenez/seq2seq-squad
license: []
language: []
config_name: default
column_names: ["text","label","orig_id"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":"string"},{"name":"orig_id","dtype":"string"}]


hub_id: sid121/initial_chats
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["conversation"]
features:
[{"name":"conversation","list":[{"name":"role","dtype":"string"},{"name":"content","dtype":"string"}]}]


hub_id: d0rj/conala-mined-ru
license: []
language: []
config_name: default
column_names: ["question_id","parent_answer_post_id","prob","snippet","intent","id"]
features:
[{"name":"question_id","dtype":"int64"},{"name":"parent_answer_post_id","dtype":"int64"},{"name":"prob","dtype":"float64"},{"name":"snippet","dtype":"string"},{"name":"intent","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: Sunbird/Experimental-Speech-Salt-Luganda-16k
license: []
language: []
config_name: default
column_names: ["audio","sample_rate","transcription","speaker_id"]
features:
[{"name":"audio","sequence":{"sequence":"float32"}},{"name":"sample_rate","dtype":"int64"},{"name":"transcription","dtype":"string"},{"name":"speaker_id","dtype":"string"}]


hub_id: PNLPhub/snappfood-sentiment-analysis
license: []
language: []
config_name: default
column_names: ["comment","label","label_id"]
tags:
["size_categories:10K<n<100K","csv","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"comment","dtype":"string"},{"name":"label","dtype":"string"},{"name":"label_id","dtype":"float64"}]


hub_id: PNLPhub/digikala-sentiment-analysis
license: []
language: []
config_name: default
column_names: ["Text","Score","Suggestion"]
tags:
["size_categories:1K<n<10K","csv","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"Text","dtype":"string"},{"name":"Score","dtype":"int64"},{"name":"Suggestion","dtype":"int64"}]


hub_id: Dragonoverlord3000/sum_classifier_dataset
license: []
language: []
config_name: default
column_names: ["sum","label","__index_level_0__","input_ids","token_type_ids","attention_mask"]
features:
[{"name":"sum","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"__index_level_0__","dtype":"int64"},{"name":"input_ids","sequence":"int32"},{"name":"token_type_ids","sequence":"int8"},{"name":"attention_mask","sequence":"int8"}]


hub_id: amitness/sentiment-mt
license: []
language: ["mt"]
config_name: default
column_names: ["label","text"]
tags:
["language:mt","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

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


hub_id: LennardZuendorf/openlegaldata-processed
license: ["mit"]
language: ["de"]
config_name: default
column_names: ["id","court","file_number","date","type","content","tenor","facts","reasoning"]
tags:
["task_categories:text-classification","language:de","license:mit","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","legal","croissant"]

features:
[{"name":"id","dtype":"int64"},{"name":"court","struct":[{"name":"id","dtype":"int64"},{"name":"jurisdiction","dtype":"string"},{"name":"level_of_appeal","dtype":"string"},{"name":"name","dtype":"string"},{"name":"state","dtype":"int64"}]},{"name":"file_number","dtype":"string"},{"name":"date","dtype":"timestamp[s]"},{"name":"type","dtype":"string"},{"name":"content","dtype":"string"},{"name":"tenor","dtype":"string"},{"name":"facts","dtype":"string"},{"name":"reasoning","dtype":"string"}]


hub_id: FidelOdok/SOFA_DOA_10_deg_meta_dirxyz
license: []
language: []
config_name: default
column_names: ["audio","label","dirxyz"]
features:
[{"name":"audio","dtype":"audio"},{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"101","2":"106","3":"112","4":"117","5":"122","6":"129","7":"134","8":"137","9":"139","10":"151","11":"156","12":"166","13":"169","14":"171","15":"172","16":"18","17":"182","18":"187","19":"189","20":"190","21":"192","22":"200","23":"205","24":"207","25":"209","26":"211","27":"218","28":"219","29":"221","30":"224","31":"226","32":"227","33":"229","34":"237","35":"239","36":"242","37":"244","38":"257","39":"26","40":"260","41":"262","42":"265","43":"278","44":"281","45":"3","46":"312","47":"317","48":"328","49":"343","50":"351","51":"354","52":"356","53":"358","54":"359","55":"368","56":"369","57":"371","58":"372","59":"373","60":"378","61":"380","62":"383","63":"385","64":"386","65":"391","66":"394","67":"397","68":"4","69":"422","70":"423","71":"424","72":"426","73":"427","74":"428","75":"46","76":"49","77":"5","78":"50","79":"58","80":"6","81":"66","82":"67","83":"69","84":"7","85":"71","86":"73","87":"82","88":"84","89":"86","90":"87","91":"89","92":"96"}}}},{"name":"dirxyz","sequence":"float64"}]


hub_id: climba/image-classification-8class
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"1","2":"2","3":"3","4":"4","5":"5","6":"6","7":"7"}}}}]


hub_id: dominguesm/wikipedia-ptbr-20230601
license: []
language: ["pt"]
config_name: default
column_names: ["id","url","title","text"]
tags:
["language:pt","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


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

column_names:
["image_file_path","image","labels","embedding_foundation","embedding_ft","outlier_score_ft","outlier_score_foundation","nn_image"]

features:
[{"name":"image_file_path","dtype":"string"},{"name":"image","dtype":"image"},{"name":"labels","dtype":{"class_label":{"names":{"0":"angular_leaf_spot","1":"bean_rust","2":"healthy"}}}},{"name":"embedding_foundation","sequence":"float32"},{"name":"embedding_ft","sequence":"float32"},{"name":"outlier_score_ft","dtype":"float64"},{"name":"outlier_score_foundation","dtype":"float64"},{"name":"nn_image","dtype":"image"}]


hub_id: Tristan/cvasnlp_sample_test_2
license: []
language: []
config_name: default
column_names: ["image","label","id"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"abyssinian","1":"american bulldog","2":"american pit bull terrier","3":"basset hound","4":"beagle","5":"bengal","6":"birman","7":"bombay","8":"boxer","9":"british shorthair","10":"chihuahua","11":"egyptian mau","12":"english cocker spaniel","13":"english setter","14":"german shorthaired","15":"great pyrenees","16":"havanese","17":"japanese chin","18":"keeshond","19":"leonberger","20":"maine coon","21":"miniature pinscher","22":"newfoundland","23":"persian","24":"pomeranian","25":"pug","26":"ragdoll","27":"russian blue","28":"saint bernard","29":"samoyed","30":"scottish terrier","31":"shiba inu","32":"siamese","33":"sphynx","34":"staffordshire bull terrier","35":"wheaten terrier","36":"yorkshire terrier"}}}},{"name":"id","dtype":"int64"}]


hub_id: jorgeortizfuentes/spanish_attitude_conll2003
license: []
language: []
config_name: default
column_names: ["id","tokens","att_tags"]
features:
[{"name":"id","dtype":"int64"},{"name":"tokens","sequence":"string"},{"name":"att_tags","sequence":{"class_label":{"names":{"0":"B-propriety (J3)","1":"I-Affect","2":"B-tenacity (J3)","3":"I-tenacity (J3)","4":"B-capacity (J3)","5":"I-Negative","6":"I-Social Sanction (J2)","7":"B-Social Sanction (J2)","8":"B-Social Esteem (J2)","9":"I-capacity (J3)","10":"I-normality (J3)","11":"B-normality (J3)","12":"B-Judgment (J1)","13":"B-Affect","14":"I-Judgment (J1)","15":"I-Appreciation","16":"B-Appreciation","17":"I-propriety (J3)","18":"I-veracity (J3)","19":"B-Negative","20":"I-Social Esteem (J2)","21":"B-veracity (J3)","22":"O"}}}}]


hub_id: dmayhem93/agieval-aqua-rat
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["query","choices","gold"]
tags:
["license:apache-2.0","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","arxiv:2304.06364","region:us","croissant"]

features:
[{"name":"query","dtype":"string"},{"name":"choices","sequence":"string"},{"name":"gold","sequence":"int64"}]


hub_id: visheratin/laion-coco-nllb
license: ["cc-by-nc-4.0"]
config_name: default
column_names: ["id","url","eng_caption","captions","score"]
tags:
["task_categories:image-to-text","task_categories:translation","language:ace","language:acm","language:acq","language:aeb","language:af","language:ajp","language:ak","language:als","language:am","language:apc","language:ar","language:ars","language:ary","language:arz","language:as","language:ast","language:awa","language:ayr","language:azb","language:azj","language:ba","language:bm","language:ban","language:be","language:bem","language:bn","language:bho","language:bjn","language:bo","language:bs","language:bug","language:bg","language:ca","language:ceb","language:cs","language:cjk","language:ckb","language:crh","language:cy","language:da","language:de","language:dik","language:dyu","language:dz","language:el","language:en","language:eo","language:et","language:eu","language:ee","language:fo","language:fj","language:fi","language:fon","language:fr","language:fur","language:fuv","language:gaz","language:gd","language:ga","language:gl","language:gn","language:gu","language:ht","language:ha","language:he","language:hi","language:hne","language:hr","language:hu","language:hy","language:ig","language:ilo","language:id","language:is","language:it","language:jv","language:ja","language:kab","language:kac","language:kam","language:kn","language:ks","language:ka","language:kk","language:kbp","language:kea","language:khk","language:km","language:ki","language:rw","language:ky","language:kmb","language:kmr","language:knc","language:kg","language:ko","language:lo","language:lij","language:li","language:ln","language:lt","language:lmo","language:ltg","language:lb","language:lua","language:lg","language:luo","language:lus","language:lvs","language:mag","language:mai","language:ml","language:mar","language:min","language:mk","language:mt","language:mni","language:mos","language:mi","language:my","language:nl","language:nn","language:nb","language:npi","language:nso","language:nus","language:ny","language:oc","language:ory","language:pag","language:pa","language:pap","language:pbt","language:pes","language:plt","language:pl","language:pt","language:prs","language:quy","language:ro","language:rn","language:ru","language:sg","language:sa","language:sat","language:scn","language:shn","language:si","language:sk","language:sl","language:sm","language:sn","language:sd","language:so","language:st","language:es","language:sc","language:sr","language:ss","language:su","language:sv","language:swh","language:szl","language:ta","language:taq","language:tt","language:te","language:tg","language:tl","language:th","language:ti","language:tpi","language:tn","language:ts","language:tk","language:tum","language:tr","language:tw","language:tzm","language:ug","language:uk","language:umb","language:ur","language:uzn","language:vec","language:vi","language:war","language:wo","language:xh","language:ydd","language:yo","language:yue","language:zh","language:zsm","language:zu","license:cc-by-nc-4.0","size_categories:100M<n<1B","parquet","text","datasets","dask","mlcroissant","arxiv:2309.01859","doi:10.57967/hf/1006","region:us","croissant"]

language:
["ace","acm","acq","aeb","af","ajp","ak","als","am","apc","ar","ars","ary","arz","as","ast","awa","ayr","azb","azj","ba","bm","ban","be","bem","bn","bho","bjn","bo","bs","bug","bg","ca","ceb","cs","cjk","ckb","crh","cy","da","de","dik","dyu","dz","el","en","eo","et","eu","ee","fo","fj","fi","fon","fr","fur","fuv","gaz","gd","ga","gl","gn","gu","ht","ha","he","hi","hne","hr","hu","hy","ig","ilo","id","is","it","jv","ja","kab","kac","kam","kn","ks","ka","kk","kbp","kea","khk","km","ki","rw","ky","kmb","kmr","knc","kg","ko","lo","lij","li","ln","lt","lmo","ltg","lb","lua","lg","luo","lus","lvs","mag","mai","ml","mar","min","mk","mt","mni","mos","mi","my","nl","nn","nb","npi","nso","nus","ny","oc","ory","pag","pa","pap","pbt","pes","plt","pl","pt","prs","quy","ro","rn","ru","sg","sa","sat","scn","shn","si","sk","sl","sm","sn","sd","so","st","es","sc","sr","ss","su","sv","swh","szl","ta","taq","tt","te","tg","tl","th","ti","tpi","tn","ts","tk","tum","tr","tw","tzm","ug","uk","umb","ur","uzn","vec","vi","war","wo","xh","ydd","yo","yue","zh","zsm","zu"]

features:
[{"name":"id","dtype":"string"},{"name":"url","dtype":"string"},{"name":"eng_caption","dtype":"string"},{"name":"captions","sequence":{"sequence":"string"}},{"name":"score","dtype":"float64"}]


hub_id: mcimpoi/fmd_materials
license: ["cc-by-2.0"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["task_categories:image-classification","license:cc-by-2.0","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":"fabric","1":"foliage","2":"glass","3":"leather","4":"metal","5":"paper","6":"plastic","7":"stone","8":"water","9":"wood"}}}}]


hub_id: gagan3012/areta_v5
license: []
language: []
config_name: default
column_names: ["Unnamed: 0","raw","corrected","tag","raw_morph","raw_d3tok"]
features:
[{"name":"Unnamed: 0","dtype":"int64"},{"name":"raw","sequence":"string"},{"name":"corrected","sequence":"string"},{"name":"tag","sequence":"string"},{"name":"raw_morph","dtype":"string"},{"name":"raw_d3tok","sequence":"string"}]


hub_id: MAPS-research/GEMRec-Roster
license: ["openrail"]
language: ["en"]
config_name: default
tags:
["task_categories:text-to-image","language:en","license:openrail","size_categories:n<1K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","art","diffusers","croissant"]

column_names:
["tag","model_name","model_id","modelVersion_name","modelVersion_id","modelVersion_url","modelVersion_trainedWords","model_download_count","baseModel"]

features:
[{"name":"tag","dtype":"string"},{"name":"model_name","dtype":"string"},{"name":"model_id","dtype":"int64"},{"name":"modelVersion_name","dtype":"string"},{"name":"modelVersion_id","dtype":"int64"},{"name":"modelVersion_url","dtype":"string"},{"name":"modelVersion_trainedWords","dtype":"string"},{"name":"model_download_count","dtype":"int64"},{"name":"baseModel","dtype":"string"}]


hub_id: ChangeIsKey/kubhist2
license: ["cc-by-sa-4.0"]
language: ["sv"]
config_name: all
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["task_categories:text-generation","language:sv","license:cc-by-sa-4.0","size_categories:100M<n<1B","text","datasets","mlcroissant","region:us","newspapers","historical","croissant"]


hub_id: dmayhem93/agieval-gaokao-biology
license: ["mit"]
language: []
config_name: default
column_names: ["query","choices","gold"]
tags:
["license:mit","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","arxiv:2304.06364","region:us","croissant"]

features:
[{"name":"query","dtype":"string"},{"name":"choices","sequence":"string"},{"name":"gold","sequence":"int64"}]


hub_id: dmayhem93/agieval-logiqa-en
license: ["cc-by-nc-sa-4.0"]
language: []
config_name: default
column_names: ["query","choices","gold"]
tags:
["license:cc-by-nc-sa-4.0","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","arxiv:2304.06364","region:us","croissant"]


hub_id: dmayhem93/agieval-lsat-ar
license: []
language: []
config_name: default
column_names: ["query","choices","gold"]
tags:
["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","arxiv:2304.06364","arxiv:2104.06598","region:us","croissant"]


hub_id: dmayhem93/agieval-lsat-lr
license: ["mit"]
language: []
config_name: default
column_names: ["query","choices","gold"]
tags:
["license:mit","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","arxiv:2304.06364","arxiv:2104.06598","region:us","croissant"]


hub_id: Waster3012/fever_augemented
license: ["unknown"]
language: []
config_name: default
column_names: ["claim","evidence_wiki_url","label"]
tags:
["license:unknown","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"claim","dtype":"string"},{"name":"evidence_wiki_url","dtype":"string"},{"name":"label","dtype":"string"}]


hub_id: LennardZuendorf/legalis
license: ["mit"]
language: ["de"]
config_name: default
column_names: ["id","file_number","date","type","content","tenor","facts","reasoning","winner","label"]
tags:
["task_categories:text-classification","language:de","license:mit","size_categories:1K<n<10K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","legal","croissant"]

features:
[{"name":"id","dtype":"int64"},{"name":"file_number","dtype":"string"},{"name":"date","dtype":"timestamp[us]"},{"name":"type","dtype":"string"},{"name":"content","dtype":"string"},{"name":"tenor","dtype":"string"},{"name":"facts","dtype":"string"},{"name":"reasoning","dtype":"string"},{"name":"winner","dtype":"string"},{"name":"label","dtype":"int64"}]


hub_id: msislam/marc-code-mixed-encodings
tags: ["size_categories:10K<n<100K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input_ids","attention_mask","labels"]
features:
[{"name":"input_ids","sequence":"int64"},{"name":"attention_mask","sequence":"int64"},{"name":"labels","sequence":"int64"}]


hub_id: msislam/marc-code-mixed-small
license: []
language: ["de","en","es","fr"]
config_name: default
tags:
["language:de","language:en","language:es","language:fr","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["reviews","labels","languages","review_tokens","token_labels","token_languages","unique_language_count"]

features:
[{"name":"reviews","sequence":"string"},{"name":"labels","sequence":"int64"},{"name":"languages","sequence":"string"},{"name":"review_tokens","sequence":"string"},{"name":"token_labels","sequence":"int64"},{"name":"token_languages","sequence":"string"},{"name":"unique_language_count","dtype":"int64"}]


hub_id: Rami/prompts_eval
license: []
language: []
config_name: default
column_names:
["prompt_generator","chat_gpt_response","instructions","temperature","repetition_penalty","top_p","reference_text"]

features:
[{"name":"prompt_generator","dtype":"string"},{"name":"chat_gpt_response","dtype":"float64"},{"name":"instructions","dtype":"string"},{"name":"temperature","dtype":"float64"},{"name":"repetition_penalty","dtype":"float64"},{"name":"top_p","dtype":"float64"},{"name":"reference_text","dtype":"string"}]


hub_id: karmiq/glove
license: ["pddl"]
language: ["en"]
config_name: default
column_names: ["word","embeddings"]
features: [{"name":"word","dtype":"string"},{"name":"embeddings","sequence":"float64"}]
tags:
["language:en","license:pddl","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: gagan3012/areta_v6
license: []
language: []
config_name: default
column_names:
["Unnamed: 0","raw","corrected","tag","detect_tags","correct_tags","error_tags","merged_detect_tags","merged_correct_tags","merged_error_tags"]

features:
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hub_id: drumwell/generadai-sample
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["item","description","price","sizes","colors","ad"]
features:
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hub_id: recwizard/redial_unicrs
tags: ["size_categories:100K<n<1M","text","datasets","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["messages","rec","recNames"]
features:
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hub_id: ggarcia209/PV03
tags: ["size_categories:1K<n<10K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","sequence":{"sequence":{"sequence":"uint8"}}},{"name":"label","sequence":{"sequence":"uint8"}}]


hub_id: dnjdsxor21/nkiwi
license: []
language: []
config_name: default
column_names: ["title","context","question","id","answers","document_id"]
features:
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hub_id: Cainiao-AI/LaDe-D
license: ["apache-2.0"]
language: []
config_name: default
tags:
["license:apache-2.0","size_categories:1M<n<10M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","Spatial-Temporal","Graph","Logistic","Last-mile Delivery","croissant"]

column_names:
["order_id","region_id","city","courier_id","lng","lat","aoi_id","aoi_type","accept_time","accept_gps_time","accept_gps_lng","accept_gps_lat","delivery_time","delivery_gps_time","delivery_gps_lng","delivery_gps_lat","ds"]

features:
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hub_id: Cainiao-AI/LaDe-P
license: ["apache-2.0"]
language: []
config_name: default
tags:
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column_names:
["order_id","region_id","city","courier_id","accept_time","time_window_start","time_window_end","lng","lat","aoi_id","aoi_type","pickup_time","pickup_gps_time","pickup_gps_lng","pickup_gps_lat","accept_gps_time","accept_gps_lng","accept_gps_lat","ds"]

features:
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hub_id: BramVanroy/dolly-15k-dutch
license: ["cc-by-nc-sa-3.0"]
language: ["nl"]
config_name: default
column_names: ["prompt","prompt_id","messages"]
tags:
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hub_id: DaniFrame/MNLIPerturbed
license: []
language: []
config_name: default
column_names: ["premise","hypothesis","label","idx"]
features:
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hub_id: ilaria-oneofftech/cond_uncond
license: []
language: []
config_name: default
column_names: ["document","alpha3","country","context","labels"]
features:
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hub_id: d0rj/toxic_dvach_detoxified
license: []
language: ["ru"]
config_name: default
column_names: ["comment","toxic","detox"]
tags:
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features:
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hub_id: HuggingFaceM4/NLVR2_support_query_sets
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["identifier","sentence","left_image","right_image","label","directory"]
features:
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hub_id: breadlicker45/MusicCap
license: []
language: []
config_name: default
column_names:
["ytid","start_s","end_s","audioset_positive_labels","aspect_list","caption","author_id","is_balanced_subset","is_audioset_eval","audio","download_status"]

features:
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hub_id: d0rj/rudetoxifier_data
license: ["mit"]
language: ["ru"]
config_name: default
column_names: ["text","toxic"]
features: [{"name":"text","dtype":"string"},{"name":"toxic","dtype":"float64"}]
tags:
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hub_id: Waster3012/fever_lines
license: ["unknown"]
language: []
config_name: default
column_names: ["claim","evidence_wiki_url","label","evidence_sentence_id","relevant","not_relevant"]
tags:
["license:unknown","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
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hub_id: Weni/LLM-base-clean
license: []
language: []
config_name: default
column_names: ["prompt","input_ids","token_type_ids","attention_mask"]
features:
[{"name":"prompt","dtype":"string"},{"name":"input_ids","sequence":"int32"},{"name":"token_type_ids","sequence":"int8"},{"name":"attention_mask","sequence":"int8"}]


hub_id: gjballvn/art-bodies
license: ["artistic-2.0"]
language: []
config_name: default
column_names: ["artist","year","genre","style","is_abstract","is_male","title","filename","description","image"]
tags:
["license:artistic-2.0","size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
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hub_id: AlekseyKorshuk/updated-responses-preview
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["message_id","input_text","response","old_output_text","user_id","output_text"]
features:
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hub_id: Yinxuan/OCTScenes
license: ["cc-by-nc-4.0"]
language: ["en"]
config_name: default
column_names: ["scene_id","frame_id","resolution","image","depth","segment","intrinsic_matrix","camera_pose"]
tags:
["task_categories:image-segmentation","language:en","license:cc-by-nc-4.0","size_categories:10K<n<100K","arxiv:2306.09682","arxiv:2202.07135","region:us","object-centric learning"]

features:
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hub_id: Madronus/bbox_test
license: []
language: []
config_name: default
column_names: ["image_id","image","width","height","objects"]
features:
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hub_id: merlinyx/pose-controlnet
license: ["mit"]
language: []
config_name: default
column_names: ["image","label","caption","gtimage","stimage"]
features:
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hub_id: ServiceNow/PartialBROAD
license: ["cc-by-4.0"]
language: []
config_name: default
column_names: ["image","label","original_filename","original_hash"]
tags:
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hub_id: nakcnx/thai_subtitle
license: []
language: []
config_name: default
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hub_id: ademax/ocr_dataset_v1
license: []
language: []
config_name: default
column_names: ["path","text","image","meta"]
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hub_id: AlekseyKorshuk/DotCHA-100k
license: []
language: []
config_name: default
column_names: ["letter","buckets"]
features:
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hub_id: DecisionOptimizationSystem/ForecastingDataStockDaily
license: []
language: []
config_name: default
column_names: ["date","target","context_id","__index_level_0__"]
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hub_id: seanghay/khmer_mpwt_speech
license: []
language: ["km"]
config_name: default
column_names: ["audio","transcription","raw_transcription"]
tags:
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hub_id: ruiramos/red-badger-blog
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license: []
language: []
config_name: default
column_names: ["title","content","source"]
features:
[{"name":"title","dtype":"string"},{"name":"content","dtype":"string"},{"name":"source","dtype":"string"}]


hub_id: PNLPhub/PEYMA
license: ["apache-2.0"]
language: []
config_name: PEYMA
column_names: ["tokens","tags"]
tags:
["license:apache-2.0","size_categories:1K<n<10K","text","datasets","mlcroissant","region:us","croissant"]

features:
[{"name":"tokens","sequence":"string"},{"name":"tags","sequence":{"class_label":{"names":{"0":"O","1":"B_DAT","2":"B_LOC","3":"B_MON","4":"B_ORG","5":"B_PCT","6":"B_PER","7":"B_TIM","8":"I_DAT","9":"I_LOC","10":"I_MON","11":"I_ORG","12":"I_PCT","13":"I_PER","14":"I_TIM"}}}}]


hub_id: eezy/basic_shapes_1000
tags: ["region:us"]
license: []
language: []
config_name: scer
column_names: ["svg","png","layer_mask","object_mask","segments"]
features:
[{"name":"svg","dtype":"string"},{"name":"png","dtype":"image"},{"name":"layer_mask","dtype":"image"},{"name":"object_mask","dtype":"image"},{"name":"segments","dtype":{"array3_d":{"shape":[-1,512,512],"dtype":"bool"}}}]


hub_id: griffin/progressive_summarization_test
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["article","highlights","id","summarize_prompt","progressive_prompt"]
features:
[{"name":"article","dtype":"string"},{"name":"highlights","dtype":"string"},{"name":"id","dtype":"string"},{"name":"summarize_prompt","dtype":"string"},{"name":"progressive_prompt","dtype":"string"}]


hub_id: griffin/progressive_summarization
license: []
language: []
config_name: default
column_names: ["id","prompt","completion","task"]
features:
[{"name":"id","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"completion","dtype":"string"},{"name":"task","dtype":"string"}]


hub_id: gart-labor/datapoints_monKI
license: []
language: []
config_name: default
column_names:
["Datatype","Beschreibung","Name","Unit","Grundfunktion","ScoreGrundfunktion","ZweiteGrundfunktion","ScoreZweiteGrundfunktion","Komponente","ScoreKomponente","Datenpunkt","ScoreDatenpunkt"]

features:
[{"name":"Datatype","dtype":"string"},{"name":"Beschreibung","dtype":"string"},{"name":"Name","dtype":"string"},{"name":"Unit","dtype":"string"},{"name":"Grundfunktion","dtype":"string"},{"name":"ScoreGrundfunktion","dtype":"float64"},{"name":"ZweiteGrundfunktion","dtype":"string"},{"name":"ScoreZweiteGrundfunktion","dtype":"float64"},{"name":"Komponente","dtype":"string"},{"name":"ScoreKomponente","dtype":"float64"},{"name":"Datenpunkt","dtype":"string"},{"name":"ScoreDatenpunkt","dtype":"float64"}]


hub_id: 9wimu9/wiki_support_docs_en
license: []
language: []
config_name: default
column_names: ["id","question","answer","support_documents"]
features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"support_documents","sequence":"string"}]


hub_id: DecisionOptimizationSystem/ForecastingDataSales
license: []
language: []
config_name: default
column_names: ["context_id","date","target","price"]
features:
[{"name":"context_id","dtype":"string"},{"name":"date","dtype":"string"},{"name":"target","dtype":"float32"},{"name":"price","dtype":"float32"}]


hub_id: eezy/basic_shapes_10k
tags: ["region:us"]
license: []
language: []
config_name: scer
column_names: ["svg","png","layer_mask","object_mask"]
features:
[{"name":"svg","dtype":"string"},{"name":"png","dtype":"image"},{"name":"layer_mask","dtype":"image"},{"name":"object_mask","dtype":"image"}]


hub_id: Reza-Madani/emnli
license: []
language: []
config_name: default
column_names:
["promptID","pairID","premise","premise_binary_parse","premise_parse","hypothesis","hypothesis_binary_parse","hypothesis_parse","genre","label","premise_rationale","hypothesis_rationale"]

features:
[{"name":"promptID","dtype":"int64"},{"name":"pairID","dtype":"string"},{"name":"premise","dtype":"string"},{"name":"premise_binary_parse","dtype":"string"},{"name":"premise_parse","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"hypothesis_binary_parse","dtype":"string"},{"name":"hypothesis_parse","dtype":"string"},{"name":"genre","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"premise_rationale","sequence":"int64"},{"name":"hypothesis_rationale","sequence":"int64"}]


hub_id: AlekseyKorshuk/revised-responses-filtered
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["message_id","input_text","origianl_response","edited_response","user_id","revised_response","bot_id"]

features:
[{"name":"message_id","dtype":"string"},{"name":"input_text","dtype":"string"},{"name":"origianl_response","dtype":"string"},{"name":"edited_response","dtype":"string"},{"name":"user_id","dtype":"string"},{"name":"revised_response","dtype":"string"},{"name":"bot_id","dtype":"string"}]


hub_id: AlekseyKorshuk/revised-responses-filtered-sampled-lmgym
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["message_id","input_text","origianl_response","edited_response","user_id","revised_response","bot_id","output_text"]

features:
[{"name":"message_id","dtype":"string"},{"name":"input_text","dtype":"string"},{"name":"origianl_response","dtype":"string"},{"name":"edited_response","dtype":"string"},{"name":"user_id","dtype":"string"},{"name":"revised_response","dtype":"string"},{"name":"bot_id","dtype":"string"},{"name":"output_text","dtype":"string"}]


hub_id: ztjona/oswaldo-guayasamin-blip-captions-v2
license: []
language: ["en"]
config_name: default
column_names: ["image","text"]
features: [{"name":"image","dtype":"image"},{"name":"text","dtype":"string"}]
tags:
["task_categories:text-to-image","annotations_creators:machine-generated","multilinguality:monolingual","language:en","size_categories:n<1K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: graelo/cancre
license: ["cc-by-sa-3.0"]
language: ["fr"]
config_name: default
column_names: ["phrase1","phrase2","explication"]
tags:
["task_categories:text-generation","task_categories:text-classification","task_ids:language-modeling","annotations_creators:no-annotation","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:fr","license:cc-by-sa-3.0","size_categories:10K<n<100K","json","text","datasets","mlcroissant","region:us","croissant"]

features:
[{"name":"phrase1","dtype":"string"},{"name":"phrase2","dtype":"string"},{"name":"explication","dtype":"string"}]


hub_id: d0rj/rudetoxifier_data_detox
license: ["mit"]
language: ["ru"]
config_name: default
column_names: ["text","toxic","detox"]
tags:
["task_categories:text2text-generation","multilinguality:monolingual","source_datasets:d0rj/rudetoxifier_data","language:ru","license:mit","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","toxicity","style-transfer","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"toxic","dtype":"float64"},{"name":"detox","dtype":"string"}]


hub_id: HuggingFaceM4/ScienceQA_support_query_sets
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["image","question","hint","context","lecture","solution","label"]
features:
[{"name":"image","dtype":"image"},{"name":"question","dtype":"string"},{"name":"hint","dtype":"string"},{"name":"context","dtype":"string"},{"name":"lecture","dtype":"string"},{"name":"solution","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"A","1":"B","2":"C","3":"D","4":"E"}}}}]


hub_id: KShivendu/dbpedia-entities-openai-1M
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["_id","title","text","openai"]
tags:
["task_categories:feature-extraction","language:en","license:mit","size_categories:1M<n<10M","parquet","text","timeseries","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"_id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"openai","sequence":"float32"}]


hub_id: richardr1126/spider-schema
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["db_id","Schema (values (type))","Primary Keys","Foreign Keys"]
tags:
["source_datasets:spider","language:en","license:cc-by-4.0","size_categories:n<1K","json","text","datasets","mlcroissant","region:us","text-to-sql","croissant"]

features:
[{"name":"db_id","dtype":"string"},{"name":"Schema (values (type))","dtype":"string"},{"name":"Primary Keys","dtype":"string"},{"name":"Foreign Keys","dtype":"string"}]


hub_id: richardr1126/spider-context-instruct
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["db_id","text"]
features: [{"name":"db_id","dtype":"string"},{"name":"text","dtype":"string"}]
tags:
["source_datasets:spider","language:en","license:cc-by-4.0","size_categories:1K<n<10K","json","text","datasets","mlcroissant","region:us","text-to-sql","SQL","Spider","fine-tune","croissant"]


hub_id: Gummybear05/Y_pause_changed
license: []
language: []
config_name: default
column_names: ["path","filename","text","quality","city","gender","age","array","sample_rate"]
features:
[{"name":"path","dtype":"string"},{"name":"filename","dtype":"string"},{"name":"text","dtype":"string"},{"name":"quality","dtype":"string"},{"name":"city","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"age","dtype":"string"},{"name":"array","sequence":"float64"},{"name":"sample_rate","dtype":"int64"}]


hub_id: datalama/question_pair
license: ["mit"]
language: []
config_name: default
column_names: ["id","question1","question2","label"]
features:
[{"name":"id","dtype":"int64"},{"name":"question1","dtype":"string"},{"name":"question2","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"\ub2e4\ub978 \uc9c8\ubb38","1":"\uac19\uc740 \uc9c8\ubb38"}}}}]


hub_id: HuggingFaceM4/ScienceQA_support_query_sets_old_setup
license: []
language: []
config_name: default
column_names: ["image","context","solution","question","label"]
features:
[{"name":"image","dtype":"image"},{"name":"context","dtype":"string"},{"name":"solution","dtype":"string"},{"name":"question","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"A","1":"B","2":"C","3":"D","4":"E"}}}}]


hub_id: PNLPhub/parsinlu-multiple-choice
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["answer","candidates","category","question","id"]
tags:
["license:apache-2.0","size_categories:1K<n<10K","text","datasets","mlcroissant","region:us","croissant"]

features:
[{"name":"answer","dtype":"string"},{"name":"candidates","sequence":"string"},{"name":"category","dtype":"string"},{"name":"question","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: llm-book/jawiki-paragraphs-unsup-simcse-bert-base-japanese-v3
license: []
language: []
config_name: default
column_names: ["id","pageid","revid","paragraph_index","title","section","text","html_tag","embeddings"]
features:
[{"name":"id","dtype":"string"},{"name":"pageid","dtype":"int64"},{"name":"revid","dtype":"int64"},{"name":"paragraph_index","dtype":"int64"},{"name":"title","dtype":"string"},{"name":"section","dtype":"string"},{"name":"text","dtype":"string"},{"name":"html_tag","dtype":"string"},{"name":"embeddings","sequence":"float32"}]


hub_id: tasksource/ecqa
license: ["cdla-sharing-1.0"]
language: ["en"]
config_name: default
tags:
["task_categories:question-answering","language:en","license:cdla-sharing-1.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["q_no","q_concept","q_text","q_op1","q_op2","q_op3","q_op4","q_op5","q_ans","taskA_pos","taskA_neg","taskB"]

features:
[{"name":"q_no","dtype":"string"},{"name":"q_concept","dtype":"string"},{"name":"q_text","dtype":"string"},{"name":"q_op1","dtype":"string"},{"name":"q_op2","dtype":"string"},{"name":"q_op3","dtype":"string"},{"name":"q_op4","dtype":"string"},{"name":"q_op5","dtype":"string"},{"name":"q_ans","dtype":"string"},{"name":"taskA_pos","dtype":"string"},{"name":"taskA_neg","dtype":"string"},{"name":"taskB","dtype":"string"}]


hub_id: KaiLv/UDR_COPA
license: []
language: []
config_name: default
column_names: ["idx","label","premise","question","mirrored","choices","len_question","max_len_choices"]
features:
[{"name":"idx","dtype":"int64"},{"name":"label","dtype":"string"},{"name":"premise","dtype":"string"},{"name":"question","dtype":"string"},{"name":"mirrored","dtype":"bool"},{"name":"choices","dtype":"string"},{"name":"len_question","dtype":"int64"},{"name":"max_len_choices","dtype":"int64"}]


hub_id: KaiLv/UDR_CR
license: []
language: []
config_name: default
column_names: ["idx","label","sentence"]
features:
[{"name":"idx","dtype":"int64"},{"name":"label","dtype":"int64"},{"name":"sentence","dtype":"string"}]


hub_id: KaiLv/UDR_AGNews
license: []
language: []
config_name: default
column_names: ["idx","label","headline","sentence"]
features:
[{"name":"idx","dtype":"int64"},{"name":"label","dtype":"int64"},{"name":"headline","dtype":"string"},{"name":"sentence","dtype":"string"}]


hub_id: KaiLv/UDR_BREAK
license: []
language: []
config_name: default
column_names: ["question_id","question_text","decomposition","operators","split"]
features:
[{"name":"question_id","dtype":"string"},{"name":"question_text","dtype":"string"},{"name":"decomposition","dtype":"string"},{"name":"operators","dtype":"string"},{"name":"split","dtype":"string"}]


hub_id: KaiLv/UDR_CNNDailyMail
license: []
language: []
config_name: default
column_names: ["idx","article","highlights","len_article","len_highlights"]
features:
[{"name":"idx","dtype":"int64"},{"name":"article","dtype":"string"},{"name":"highlights","dtype":"string"},{"name":"len_article","dtype":"int64"},{"name":"len_highlights","dtype":"int64"}]


hub_id: KaiLv/UDR_COLA
license: []
language: []
config_name: default
column_names: ["idx","sentence","label"]
features:
[{"name":"idx","dtype":"int64"},{"name":"sentence","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}}]


hub_id: KaiLv/UDR_CommonGen
license: []
language: []
config_name: default
column_names:
["idx","gem_id","gem_parent_id","concept_set_id","concepts","target","references","joined_concepts"]

features:
[{"name":"idx","dtype":"int64"},{"name":"gem_id","dtype":"string"},{"name":"gem_parent_id","dtype":"string"},{"name":"concept_set_id","dtype":"int32"},{"name":"concepts","list":"string"},{"name":"target","dtype":"string"},{"name":"references","list":"string"},{"name":"joined_concepts","dtype":"string"}]


hub_id: KaiLv/UDR_CosmosQA
license: []
language: []
config_name: default
column_names: ["idx","question","label","choices","len_question","max_len_choices"]
features:
[{"name":"idx","dtype":"int64"},{"name":"question","dtype":"string"},{"name":"label","dtype":"string"},{"name":"choices","dtype":"string"},{"name":"len_question","dtype":"int64"},{"name":"max_len_choices","dtype":"int64"}]


hub_id: KaiLv/UDR_ComE
license: []
language: []
config_name: default
column_names: ["idx","label","question","choices","len_question","max_len_choices"]
features:
[{"name":"idx","dtype":"int64"},{"name":"label","dtype":"string"},{"name":"question","dtype":"string"},{"name":"choices","dtype":"string"},{"name":"len_question","dtype":"int64"},{"name":"max_len_choices","dtype":"int64"}]


hub_id: KaiLv/UDR_DART
license: []
language: []
config_name: default
column_names: ["idx","question","target","references","len_question","len_target"]
features:
[{"name":"idx","dtype":"int64"},{"name":"question","dtype":"string"},{"name":"target","dtype":"string"},{"name":"references","dtype":"string"},{"name":"len_question","dtype":"int64"},{"name":"len_target","dtype":"int64"}]


hub_id: KaiLv/UDR_E2E
license: []
language: []
config_name: default
column_names: ["idx","gem_id","gem_parent_id","question","target","references"]
features:
[{"name":"idx","dtype":"int64"},{"name":"gem_id","dtype":"string"},{"name":"gem_parent_id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"target","dtype":"string"},{"name":"references","dtype":"string"}]


hub_id: KaiLv/UDR_Java
license: []
language: []
config_name: default
column_names: ["idx","question","target","len_question","len_target"]
features:
[{"name":"idx","dtype":"int64"},{"name":"question","dtype":"string"},{"name":"target","dtype":"string"},{"name":"len_question","dtype":"int64"},{"name":"len_target","dtype":"int64"}]


hub_id: KaiLv/UDR_MNLI
license: []
language: []
config_name: default
column_names: ["idx","label","label_text","sentence"]
features:
[{"name":"idx","dtype":"int64"},{"name":"label","dtype":"int64"},{"name":"label_text","dtype":"string"},{"name":"sentence","dtype":"string"}]


hub_id: KaiLv/UDR_MTOP
license: []
language: []
config_name: default
column_names: ["idx","intent","spans","question","domain","lang","logical_form","tokenized_question"]
features:
[{"name":"idx","dtype":"string"},{"name":"intent","dtype":"string"},{"name":"spans","dtype":"string"},{"name":"question","dtype":"string"},{"name":"domain","dtype":"string"},{"name":"lang","dtype":"string"},{"name":"logical_form","dtype":"string"},{"name":"tokenized_question","dtype":"string"}]


hub_id: KaiLv/UDR_SMCalFlow
license: []
language: []
config_name: default
column_names: ["idx","user_utterance","lispress","fully_typed_lispress"]
features:
[{"name":"idx","dtype":"string"},{"name":"user_utterance","dtype":"string"},{"name":"lispress","dtype":"string"},{"name":"fully_typed_lispress","dtype":"string"}]


hub_id: KaiLv/UDR_SNLI
license: []
language: []
config_name: default
column_names: ["idx","label","sentence","len_sentence"]
features:
[{"name":"idx","dtype":"int64"},{"name":"label","dtype":{"class_label":{"names":{"0":"entailment","1":"neutral","2":"contradiction"}}}},{"name":"sentence","dtype":"string"},{"name":"len_sentence","dtype":"int64"}]


hub_id: KaiLv/UDR_SST-2
license: []
language: []
config_name: default
column_names: ["idx","sentence","label"]
features:
[{"name":"idx","dtype":"int64"},{"name":"sentence","dtype":"string"},{"name":"label","dtype":"int64"}]


hub_id: KaiLv/UDR_WikiAuto
license: []
language: []
config_name: default
column_names: ["idx","gem_id","gem_parent_id","source","target","references","len_source","len_target"]
features:
[{"name":"idx","dtype":"int64"},{"name":"gem_id","dtype":"string"},{"name":"gem_parent_id","dtype":"string"},{"name":"source","dtype":"string"},{"name":"target","dtype":"string"},{"name":"references","list":"string"},{"name":"len_source","dtype":"int64"},{"name":"len_target","dtype":"int64"}]


hub_id: KaiLv/UDR_Yahoo
license: []
language: []
config_name: default
column_names: ["idx","label","title","content","sentence","len_sentence"]
features:
[{"name":"idx","dtype":"int64"},{"name":"label","dtype":"int64"},{"name":"title","dtype":"string"},{"name":"content","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"len_sentence","dtype":"int64"}]


hub_id: MLRush/test
license: []
language: []
config_name: default
features:
[{"name":"message_id","dtype":"string"},{"name":"parent_id","dtype":"string"},{"name":"user_id","dtype":"string"},{"name":"created_date","dtype":"string"},{"name":"text","dtype":"string"},{"name":"role","dtype":"string"},{"name":"lang","dtype":"string"},{"name":"review_count","dtype":"int64"},{"name":"review_result","dtype":"bool"},{"name":"deleted","dtype":"bool"},{"name":"rank","dtype":"float64"},{"name":"synthetic","dtype":"bool"},{"name":"model_name","dtype":"null"},{"name":"detoxify","struct":[{"name":"identity_attack","dtype":"float64"},{"name":"insult","dtype":"float64"},{"name":"obscene","dtype":"float64"},{"name":"severe_toxicity","dtype":"float64"},{"name":"sexual_explicit","dtype":"float64"},{"name":"threat","dtype":"float64"},{"name":"toxicity","dtype":"float64"}]},{"name":"message_tree_id","dtype":"string"},{"name":"tree_state","dtype":"string"},{"name":"emojis","struct":[{"name":"count","sequence":"int64"},{"name":"name","sequence":"string"}]},{"name":"labels","struct":[{"name":"count","sequence":"int64"},{"name":"name","sequence":"string"},{"name":"value","sequence":"float64"}]}]


hub_id: christopher/test-ud
license: []
language: []
config_name: default
column_names: ["sent_id","text","tokens","dataset","file"]
features:
[{"name":"sent_id","dtype":"string"},{"name":"text","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"dataset","dtype":"string"},{"name":"file","dtype":"string"}]


hub_id: 9wimu9/wiki_support_docs_sin
license: []
language: []
config_name: default
column_names: ["question","answer","uid","support_documents"]
features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"uid","dtype":"int64"},{"name":"support_documents","sequence":"string"}]


hub_id: Abdelkareem/Arabic-article-summarization-30-000
license: []
language: []
config_name: default
column_names: ["text","type","Processed Text","summarizer"]
features:
[{"name":"text","dtype":"string"},{"name":"type","dtype":"string"},{"name":"Processed Text","dtype":"string"},{"name":"summarizer","dtype":"string"}]


hub_id: carboncubie/calltrace_dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["trace_ids","callstack_ids","status","callstacks"]
features:
[{"name":"trace_ids","dtype":"string"},{"name":"callstack_ids","dtype":"string"},{"name":"status","dtype":"string"},{"name":"callstacks","list":[{"name":"arguments","struct":[{"name":"arg1","dtype":"string"},{"name":"arg2","dtype":"string"},{"name":"args","sequence":"string"}]},{"name":"calls","dtype":"string"},{"name":"definition","dtype":"string"},{"name":"error","dtype":"string"},{"name":"program","dtype":"string"},{"name":"returns","dtype":"string"},{"name":"throws","dtype":"string"}]}]


hub_id: VictorSanh/obelisc_23k_tr_199_w_xattn_opt_step-28000
license: []
language: []
config_name: default
column_names: ["images","texts","key","loss","embedding"]
features:
[{"name":"images","list":"image"},{"name":"texts","list":"string"},{"name":"key","dtype":"string"},{"name":"loss","dtype":"float32"},{"name":"embedding","sequence":"float32"}]


hub_id: mskov/miso_test
license: ["openrail"]
language: []
config_name: default
column_names: ["path","file_name","category","audio"]
tags:
["license:openrail","size_categories:n<1K","audiofolder","audio","datasets","mlcroissant","region:us","croissant"]

features:
[{"name":"path","dtype":"string"},{"name":"file_name","dtype":"string"},{"name":"category","dtype":"string"},{"name":"audio","struct":[{"name":"bytes","dtype":"binary"},{"name":"path","dtype":"string"}]}]


hub_id: forgeml/viton_hd
license: []
language: []
config_name: default
column_names: ["cloth","cloth_mask","image","pose","agnostic","caption"]
features:
[{"name":"cloth","dtype":"image"},{"name":"cloth_mask","dtype":"image"},{"name":"image","dtype":"image"},{"name":"pose","dtype":"image"},{"name":"agnostic","dtype":"image"},{"name":"caption","dtype":"string"}]


hub_id: KennethEnevoldsen/dane_plus
license: ["cc-by-sa-4.0"]
language: ["da"]
config_name: default
column_names: ["text","ents","sents","tokens"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","task_ids:part-of-speech","annotations_creators:expert-generated","annotations_creators:machine-generated","language_creators:found","multilinguality:monolingual","source_datasets:dane","source_datasets:extended|other-Danish-Universal-Dependencies-treebank","source_datasets:DANSK","language:da","license:cc-by-sa-4.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
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hub_id: alexshengzhili/Accel2ActivityCrawl
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["x","pid","y"]
features:
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hub_id: P1ayer-1/crash_course_subs
license: []
language: []
config_name: default
column_names:
["channel_id","channel_url","video_name","video_id","duration","chapters","subtitles","timed_subtitles"]

features:
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hub_id: P1ayer-1/5_levels_subs
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["channel_id","channel_url","video_name","video_id","duration","chapters","subtitles","timed_subtitles"]

features:
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hub_id: vietgpt/vungoi_question_type1
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["metadata","question","options","answer","solution","quality"]
features:
[{"name":"metadata","struct":[{"name":"chapter","dtype":"string"},{"name":"difficult_degree","dtype":"int64"},{"name":"grade","dtype":"string"},{"name":"id","dtype":"string"},{"name":"idx","dtype":"int64"},{"name":"subject","dtype":"string"}]},{"name":"question","dtype":"string"},{"name":"options","list":[{"name":"answer","dtype":"string"},{"name":"key","dtype":"string"}]},{"name":"answer","struct":[{"name":"answer","dtype":"string"},{"name":"key","dtype":"string"}]},{"name":"solution","dtype":"string"},{"name":"quality","struct":[{"name":"has_image","dtype":"bool"},{"name":"missing_question","dtype":"bool"},{"name":"missing_solution","dtype":"bool"}]}]


hub_id: AlekseyKorshuk/DotCHA-100k-2D
license: []
language: []
config_name: default
column_names: ["0","1","letter","buckets"]
features:
[{"name":"0","dtype":"string"},{"name":"1","dtype":"string"},{"name":"letter","sequence":"int64"},{"name":"buckets","sequence":{"sequence":{"sequence":"float64"}}}]


hub_id: ChanceFocus/flare-ner
license: ["mit"]
language: []
config_name: default
column_names: ["query","answer","label","text"]
features:
[{"name":"query","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"label","sequence":"string"},{"name":"text","dtype":"string"}]


hub_id: vietgpt-archive/vungoi_question_type1
license: []
language: []
config_name: default
column_names: ["question_raw","options_raw","answer_raw","solution_raw","metadata"]
features:
[{"name":"question_raw","dtype":"string"},{"name":"options_raw","list":[{"name":"answer_raw","dtype":"string"},{"name":"key","dtype":"string"}]},{"name":"answer_raw","struct":[{"name":"answer_raw","dtype":"string"},{"name":"key","dtype":"string"}]},{"name":"solution_raw","dtype":"string"},{"name":"metadata","struct":[{"name":"chapter","dtype":"string"},{"name":"difficult_degree","dtype":"int64"},{"name":"grade","dtype":"string"},{"name":"id","dtype":"string"},{"name":"idx","dtype":"int64"},{"name":"subject","dtype":"string"}]}]


hub_id: markytools/goosyntheticv3
license: []
language: []
config_name: default
column_names:
["image","split","width","height","bboxes","labels","cab","hum","light","cam","env","gaze_item","gazeIdx","gaze_cx","gaze_cy","hx","hy","pitch","yaw","roll","seg","segm_gazeIdx","occluded"]

features:
[{"name":"image","dtype":"image"},{"name":"split","dtype":"string"},{"name":"width","dtype":"int64"},{"name":"height","dtype":"int64"},{"name":"bboxes","dtype":"string"},{"name":"labels","dtype":"string"},{"name":"cab","dtype":"int64"},{"name":"hum","dtype":"int64"},{"name":"light","dtype":"float64"},{"name":"cam","dtype":"int64"},{"name":"env","dtype":"int64"},{"name":"gaze_item","dtype":"int64"},{"name":"gazeIdx","dtype":"int64"},{"name":"gaze_cx","dtype":"int64"},{"name":"gaze_cy","dtype":"int64"},{"name":"hx","dtype":"int64"},{"name":"hy","dtype":"int64"},{"name":"pitch","dtype":"float64"},{"name":"yaw","dtype":"float64"},{"name":"roll","dtype":"float64"},{"name":"seg","dtype":"string"},{"name":"segm_gazeIdx","dtype":"int64"},{"name":"occluded","dtype":"int64"}]


hub_id: dongyoung4091/hh-generated_flan_t5_large
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["prompt","response","__index_level_0__"]
features:
[{"name":"prompt","dtype":"string"},{"name":"response","sequence":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: HuggingFaceM4/Clevr_support_query_sets
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["question_index","question_family_index","image_filename","split","question","answer","image","image_index","program"]

features:
[{"name":"question_index","dtype":"int64"},{"name":"question_family_index","dtype":"int64"},{"name":"image_filename","dtype":"string"},{"name":"split","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":{"class_label":{"names":{"0":"0","1":"gray","2":"cube","3":"purple","4":"yes","5":"small","6":"brown","7":"red","8":"blue","9":"7","10":"5","11":"8","12":"metal","13":"6","14":"rubber","15":"1","16":"sphere","17":"cylinder","18":"3","19":"10","20":"2","21":"yellow","22":"cyan","23":"green","24":"9","25":"large","26":"no","27":"4"}}}},{"name":"image","dtype":"image"},{"name":"image_index","dtype":"int64"},{"name":"program","sequence":[{"name":"inputs","sequence":"int64"},{"name":"function","dtype":"string"},{"name":"value_inputs","sequence":"string"}]}]


hub_id: Patt/HellaSwag_TH_drop
license: ["cc-by-sa-4.0"]
language: ["th","en"]
config_name: default
tags:
["language:th","language:en","license:cc-by-sa-4.0","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:1907.04307","region:us","croissant"]

column_names:
["ind","activity_label","activity_label_th","ctx_a","ctx_a_th","ctx_b","ctx_b_th","ctx","ctx_th","endings","endings_th","source_id","split","split_type","label","score_ctx_a","score_ctx","score_endings"]

features:
[{"name":"ind","dtype":"int64"},{"name":"activity_label","dtype":"string"},{"name":"activity_label_th","dtype":"string"},{"name":"ctx_a","dtype":"string"},{"name":"ctx_a_th","dtype":"string"},{"name":"ctx_b","dtype":"string"},{"name":"ctx_b_th","dtype":"string"},{"name":"ctx","dtype":"string"},{"name":"ctx_th","dtype":"string"},{"name":"endings","sequence":"string"},{"name":"endings_th","sequence":"string"},{"name":"source_id","dtype":"string"},{"name":"split","dtype":"string"},{"name":"split_type","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"score_ctx_a","dtype":"float64"},{"name":"score_ctx","dtype":"float64"},{"name":"score_endings","dtype":"float64"}]


hub_id: d0rj/lyra
license: ["gpl-3.0"]
language: ["en","zh","code"]
config_name: default
column_names: ["id","code","comm_zh","comm_en"]
tags:
["task_categories:text2text-generation","multilinguality:multilingual","source_datasets:original","language:en","language:zh","language:code","license:gpl-3.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:2108.12144","region:us","code","croissant"]

features:
[{"name":"id","dtype":"int64"},{"name":"code","dtype":"string"},{"name":"comm_zh","dtype":"string"},{"name":"comm_en","dtype":"string"}]


hub_id: MikhailT/cmu-arctic
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["speaker","file","text","audio"]
tags:
["language:en","license:mit","size_categories:10K<n<100K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","croissant"]

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


hub_id: factored/us_patent_hub
license: []
language: []
config_name: default
column_names: ["description","abstract","cpc"]
features:
[{"name":"description","dtype":"string"},{"name":"abstract","dtype":"string"},{"name":"cpc","dtype":"int64"}]


hub_id: Mursel/turkishReviews-ds-mini
license: []
language: ["tr"]
config_name: default
column_names: ["review","review_length"]
features: [{"name":"review","dtype":"string"},{"name":"review_length","dtype":"int64"}]
tags:
["language:tr","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: Patt/MultiRC_TH_drop
license: ["cc-by-sa-4.0"]
language: ["en","th"]
config_name: default
tags:
["task_categories:text-classification","language:en","language:th","license:cc-by-sa-4.0","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:1907.04307","region:us","croissant"]

column_names:
["paragraph","paragraph_TH","question","question_TH","answer","answer_TH","idx","label","score_paragraph","score_question","score_answer"]

features:
[{"name":"paragraph","dtype":"string"},{"name":"paragraph_TH","dtype":"string"},{"name":"question","dtype":"string"},{"name":"question_TH","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"answer_TH","dtype":"string"},{"name":"idx","struct":[{"name":"answer","dtype":"int64"},{"name":"paragraph","dtype":"int64"},{"name":"question","dtype":"int64"}]},{"name":"label","dtype":"int64"},{"name":"score_paragraph","dtype":"float64"},{"name":"score_question","dtype":"float64"},{"name":"score_answer","dtype":"float64"}]


hub_id: Patt/ReCoRD_TH_drop
license: ["cc-by-sa-4.0"]
language: ["en","th"]
config_name: default
tags:
["task_categories:text-classification","language:en","language:th","license:cc-by-sa-4.0","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:1907.04307","region:us","croissant"]

column_names:
["passage","passage_TH","query","query_TH","entities","entities_TH","entity_spans","answers","answers_TH","idx","score_passage","score_query","score_entities","score_answers"]

features:
[{"name":"passage","dtype":"string"},{"name":"passage_TH","dtype":"string"},{"name":"query","dtype":"string"},{"name":"query_TH","dtype":"string"},{"name":"entities","sequence":"string"},{"name":"entities_TH","sequence":"string"},{"name":"entity_spans","struct":[{"name":"end","sequence":"int64"},{"name":"start","sequence":"int64"},{"name":"text","sequence":"string"}]},{"name":"answers","sequence":"string"},{"name":"answers_TH","sequence":"string"},{"name":"idx","struct":[{"name":"passage","dtype":"int64"},{"name":"query","dtype":"int64"}]},{"name":"score_passage","dtype":"float64"},{"name":"score_query","dtype":"float64"},{"name":"score_entities","dtype":"float64"},{"name":"score_answers","dtype":"float64"}]


hub_id: priyank-m/MJSynth_text_recognition
license: []
language: ["en"]
config_name: default
column_names: ["image","label"]
features: [{"name":"image","dtype":"image"},{"name":"label","dtype":"string"}]
tags:
["task_categories:image-to-text","language:en","size_categories:1M<n<10M","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: mattlc/deepgui
license: []
language: []
config_name: default
column_names: ["file_name","caption","conditioning_image"]
features:
[{"name":"file_name","dtype":"image"},{"name":"caption","dtype":"string"},{"name":"conditioning_image","dtype":"image"}]


hub_id: NLPCoreTeam/mmlu_ru
license: []
language: ["ru","en"]
config_name: world_religions
column_names: ["question_en","choices_en","answer","question_ru","choices_ru"]
tags:
["task_categories:question-answering","task_categories:multiple-choice","task_ids:multiple-choice-qa","language:ru","language:en","size_categories:10K<n<100K","text","datasets","mlcroissant","arxiv:2009.03300","region:us","croissant"]

features:
[{"name":"question_en","dtype":"string"},{"name":"choices_en","sequence":"string"},{"name":"answer","dtype":{"class_label":{"names":{"0":"A","1":"B","2":"C","3":"D"}}}},{"name":"question_ru","dtype":"string"},{"name":"choices_ru","sequence":"string"}]


hub_id: Confirm-Labs/pile_scan_4
license: []
language: []
config_name: default
column_names:
["text","token_short","token_long","p_short","p_long","JS","long_ids","short_max_id","long_max_id","context","context_ids","p_delta_max","logit_excite_max","logit_inhibit_max","batch","sample","start"]

features:
[{"name":"text","dtype":"string"},{"name":"token_short","dtype":"string"},{"name":"token_long","dtype":"string"},{"name":"p_short","dtype":"float32"},{"name":"p_long","dtype":"float32"},{"name":"JS","dtype":"float32"},{"name":"long_ids","sequence":"int32"},{"name":"short_max_id","dtype":"int64"},{"name":"long_max_id","dtype":"int64"},{"name":"context","dtype":"string"},{"name":"context_ids","sequence":"int32"},{"name":"p_delta_max","dtype":"float32"},{"name":"logit_excite_max","dtype":"float32"},{"name":"logit_inhibit_max","dtype":"float32"},{"name":"batch","dtype":"int64"},{"name":"sample","dtype":"int64"},{"name":"start","dtype":"int64"}]


hub_id: Azizslanguagesmodels/denemetest_trnsfr
license: ["afl-3.0"]
language: []
config_name: default
column_names: ["review","review_length"]
features: [{"name":"review","dtype":"string"},{"name":"review_length","dtype":"int64"}]
tags:
["license:afl-3.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: LawInformedAI/fiduciary_concatenated
license: []
language: []
config_name: default
column_names: ["timestep","key","prompt","positive","negative"]
features:
[{"name":"timestep","dtype":"int64"},{"name":"key","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"positive","dtype":"string"},{"name":"negative","dtype":"string"}]


hub_id: piercemaloney/fuel_surcharge_vqa_positive
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["artifact_qid","pixel_values","input_ids","attention_mask","bbox","start_positions","end_positions"]

features:
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hub_id: foxy-steve/monash_uea_ucr_tser
license: ["gpl-3.0"]
language: ["en"]
config_name: default
column_names: ["start","feat_static_cat","to_predict","timeseries","item_id"]
tags:
["task_categories:time-series-forecasting","language:en","license:gpl-3.0","size_categories:n<1K","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:2006.10996","region:us","croissant"]

features:
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hub_id: portuguese-benchmark-datasets/BLUEX
license: []
language: []
config_name: default
tags:
["size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:2307.05410","region:us","croissant"]

column_names:
["question","number","id","alternatives","associated_images","answer","has_associated_images","alternatives_type","subject","TU","IU","MR","ML","BK","PRK"]

features:
[{"name":"question","dtype":"string"},{"name":"number","dtype":"int64"},{"name":"id","dtype":"string"},{"name":"alternatives","sequence":"string"},{"name":"associated_images","sequence":"string"},{"name":"answer","dtype":"string"},{"name":"has_associated_images","dtype":"bool"},{"name":"alternatives_type","dtype":"string"},{"name":"subject","sequence":"string"},{"name":"TU","dtype":"bool"},{"name":"IU","dtype":"bool"},{"name":"MR","dtype":"bool"},{"name":"ML","dtype":"bool"},{"name":"BK","dtype":"bool"},{"name":"PRK","dtype":"bool"}]


hub_id: sukantan/nyaya-st-test
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["test_id","act","section_no","case_matter"]
features:
[{"name":"test_id","dtype":"string"},{"name":"act","dtype":"string"},{"name":"section_no","dtype":"string"},{"name":"case_matter","dtype":"string"}]


hub_id: MikhailT/lj-speech
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["file","spoken_text","normalized_text","audio"]
tags:
["language:en","license:cc-by-4.0","size_categories:10K<n<100K","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"file","dtype":"string"},{"name":"spoken_text","dtype":"string"},{"name":"normalized_text","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":22050}}}]


hub_id: tasksource/imdb62
license: []
language: []
config_name: default
column_names: ["reviewId","userId","itemId","rating","title","content"]
features:
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hub_id: mtc/cnn_dm_paraphrase_small
license: []
language: []
config_name: default
column_names:
["label","noise","backtranslation","extraction_span","claim","augmentation","augmentation_span","id","filepath","original_span","paraphrase"]

features:
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hub_id: sanchit-gandhi/gtzan
license: []
language: []
config_name: default
column_names: ["file","audio","genre"]
features:
[{"name":"file","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":32000}}},{"name":"genre","dtype":{"class_label":{"names":{"0":"blues","1":"classical","2":"country","3":"disco","4":"hiphop","5":"jazz","6":"metal","7":"pop","8":"reggae","9":"rock"}}}}]


hub_id: markytools/goorealv3
license: []
language: []
config_name: default
column_names:
["image","split","width","height","bboxes","labels","gaze_item","gazeIdx","gaze_cx","gaze_cy","hx","hy","seg","occluded","person_num","cam_num"]

features:
[{"name":"image","dtype":"image"},{"name":"split","dtype":"string"},{"name":"width","dtype":"int64"},{"name":"height","dtype":"int64"},{"name":"bboxes","dtype":"string"},{"name":"labels","dtype":"string"},{"name":"gaze_item","dtype":"int64"},{"name":"gazeIdx","dtype":"int64"},{"name":"gaze_cx","dtype":"int64"},{"name":"gaze_cy","dtype":"int64"},{"name":"hx","dtype":"int64"},{"name":"hy","dtype":"int64"},{"name":"seg","dtype":"string"},{"name":"occluded","dtype":"bool"},{"name":"person_num","dtype":"int64"},{"name":"cam_num","dtype":"int64"}]


hub_id: tasksource/multilingual-zero-shot-label-nli
license: ["other"]
language: []
config_name: default
column_names: ["labels","premise","hypothesis","task"]
tags:
["task_categories:zero-shot-classification","task_categories:text-classification","task_ids:natural-language-inference","multilinguality:multilingual","license:other","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
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hub_id: MoritzLaurer/cap_sotu
license: []
language: []
config_name: default
column_names:
["text","labels","label_cap2","label_cap2_text","label_cap4","year","president","pres_party","id_original","text_original","text_preceding","text_following","doc_id"]

features:
[{"name":"text","dtype":"string"},{"name":"labels","dtype":"string"},{"name":"label_cap2","dtype":"int64"},{"name":"label_cap2_text","dtype":"string"},{"name":"label_cap4","dtype":"int64"},{"name":"year","dtype":"int64"},{"name":"president","dtype":"string"},{"name":"pres_party","dtype":"int64"},{"name":"id_original","dtype":"int64"},{"name":"text_original","dtype":"string"},{"name":"text_preceding","dtype":"string"},{"name":"text_following","dtype":"string"},{"name":"doc_id","dtype":"int64"}]


hub_id: Multimodal-Fatima/cvasnlp_sample_test_augmented
license: []
language: []
config_name: default
column_names: ["image","label","id","tags","attributes","caption","intensive_captions"]
features:
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hub_id: davidberenstein1957/stackoverflow_feedback_demo
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
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hub_id: seyyedaliayati/solidity-defi-vulnerabilities
license: ["cc"]
language: ["en"]
config_name: default
tags:
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column_names:
["attack_title","github_path","testcase","is_real","interfaces","date","title","id","contract_path","lost_value","attack_explain","token_count"]

features:
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hub_id: pnadel/three_musketeers_sents
license: []
language: []
config_name: default
column_names: ["title","sent","__index_level_0__"]
features:
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hub_id: nielsr/datacomp-small-with-embeddings
license: []
language: []
config_name: default
column_names:
["uid","url","text","original_width","original_height","clip_b32_similarity_score","clip_l14_similarity_score","face_bboxes","sha256","clip_l14_image_embedding","clip_l14_text_embedding"]

features:
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hub_id: ahishamm/HAM_db
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"akiec","1":"bcc","2":"bkl","3":"df","4":"mel","5":"nv","6":"vasc"}}}}]


hub_id: seyyedaliayati/solidity-dataset
license: ["cc"]
language: ["en"]
config_name: default
tags:
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column_names:
["hash","size","ext","lang","is_test","repo_id","repo_name","repo_head","repo_path","content_tokens","content_chars","content","__index_level_0__"]

features:
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hub_id: nielsr/datacomp-small-with-embeddings-ca-filtered
license: []
language: []
config_name: default
column_names:
["uid","url","text","original_width","original_height","clip_b32_similarity_score","clip_l14_similarity_score","face_bboxes","sha256","clip_l14_embedding"]

features:
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hub_id: kjj0/4chanpol
license: []
language: []
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["size_categories:100M<n<1B","parquet","text","datasets","dask","mlcroissant","arxiv:2001.07487","region:us","croissant"]


hub_id: kjj0/4chanpol-openaimod
license: []
language: []
config_name: default
tags:
["size_categories:100M<n<1B","parquet","tabular","text","datasets","dask","mlcroissant","arxiv:2001.07487","region:us","croissant"]

column_names:
["text","sexual","hate","violence","self-harm","sexual/minors","hate/threatening","violence/graphic"]

features:
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hub_id: Xenova/quickdraw
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["image","label"]
tags:
["task_categories:image-classification","task_ids:multi-class-image-classification","annotations_creators:machine-generated","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:10B<n<100B","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

features:
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hub_id: Xenova/quickdraw-small
license: []
language: []
config_name: default
column_names: ["image","label"]
tags:
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features:
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hub_id: ChanceFocus/en-fpb
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["id","query","answer","text","choices","gold"]
tags:
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features:
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hub_id: vietgpt-archive/vungoi_theory
license: []
language: []
config_name: default
column_names: ["raw_content","metadata"]
features:
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hub_id: vietgpt/vungoi_theory
license: []
language: []
config_name: default
column_names: ["metadata","content","quality"]
features:
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hub_id: Splend1dchan/librispeech_asr_individual
license: ["cc-by-4.0"]
language: ["en"]
config_name: all
column_names: ["file","audio","text","speaker_id","chapter_id","id"]
tags:
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hub_id: caldervf/cicero_raw_dataset
license: []
language: []
config_name: default
column_names: ["_id","title","content"]
features:
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hub_id: caldervf/cicero_clean_dataset
license: []
language: []
config_name: default
column_names: ["_id","title","content","clean_content"]
features:
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hub_id: aertit/xglm_enth2
license: []
language: ["th","en"]
config_name: default
column_names: ["text","nb_token","metadata"]
tags:
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features:
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hub_id: caldervf/cicero_dataset_with_summaries
license: []
language: []
config_name: default
column_names: ["_id","title","content","summary","content_filtered"]
features:
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hub_id: alzoubi36/privacy_qa
license: []
language: []
config_name: default
column_names: ["question","text","label"]
features:
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hub_id: caldervf/cicero_dataset_with_embeddings_and_faiss_index
license: []
language: []
config_name: default
column_names: ["_id","title","content","summary","content_filtered","embeddings"]
features:
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hub_id: fujiki/guanaco_ja
license: ["gpl-3.0"]
language: ["ja"]
config_name: default
column_names: ["instruction","input","output"]
tags:
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hub_id: Falah/food102-iraqi-rice-meal
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["image","label"]
tags:
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features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"apple_pie","1":"baby_back_ribs","2":"baklava","3":"beef_carpaccio","4":"beef_tartare","5":"beet_salad","6":"beignets","7":"bibimbap","8":"bread_pudding","9":"breakfast_burrito","10":"bruschetta","11":"caesar_salad","12":"cannoli","13":"caprese_salad","14":"carrot_cake","15":"ceviche","16":"cheese_plate","17":"cheesecake","18":"chicken_curry","19":"chicken_quesadilla","20":"chicken_wings","21":"chocolate_cake","22":"chocolate_mousse","23":"churros","24":"clam_chowder","25":"club_sandwich","26":"crab_cakes","27":"creme_brulee","28":"croque_madame","29":"cup_cakes","30":"deviled_eggs","31":"donuts","32":"dumplings","33":"edamame","34":"eggs_benedict","35":"escargots","36":"falafel","37":"filet_mignon","38":"fish_and_chips","39":"foie_gras","40":"french_fries","41":"french_onion_soup","42":"french_toast","43":"fried_calamari","44":"fried_rice","45":"frozen_yogurt","46":"garlic_bread","47":"gnocchi","48":"greek_salad","49":"grilled_cheese_sandwich","50":"grilled_salmon","51":"guacamole","52":"gyoza","53":"hamburger","54":"hot_and_sour_soup","55":"hot_dog","56":"huevos_rancheros","57":"hummus","58":"ice_cream","59":"lasagna","60":"lobster_bisque","61":"lobster_roll_sandwich","62":"macaroni_and_cheese","63":"macarons","64":"miso_soup","65":"mussels","66":"nachos","67":"omelette","68":"onion_rings","69":"oysters","70":"pad_thai","71":"paella","72":"pancakes","73":"panna_cotta","74":"peking_duck","75":"pho","76":"pizza","77":"pork_chop","78":"poutine","79":"prime_rib","80":"pulled_pork_sandwich","81":"ramen","82":"ravioli","83":"red_velvet_cake","84":"rice_meal","85":"risotto","86":"samosa","87":"sashimi","88":"scallops","89":"seaweed_salad","90":"shrimp_and_grits","91":"spaghetti_bolognese","92":"spaghetti_carbonara","93":"spring_rolls","94":"steak","95":"strawberry_shortcake","96":"sushi","97":"tacos","98":"takoyaki","99":"tiramisu","100":"tuna_tartare","101":"waffles"}}}}]


hub_id: indra-inc/docvqa_en_train_valid_2400_gtparse
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["question","docId","answers","data_split","bounding_boxes","word_list","image_raw","ground_truth"]
features:
[{"name":"question","dtype":"string"},{"name":"docId","dtype":"int64"},{"name":"answers","sequence":"string"},{"name":"data_split","dtype":"string"},{"name":"bounding_boxes","sequence":{"sequence":"int64"}},{"name":"word_list","sequence":"string"},{"name":"image_raw","dtype":"image"},{"name":"ground_truth","dtype":"string"}]


hub_id: indra-inc/docvqa_en_test_200
license: []
language: []
config_name: default
column_names: ["question","docId","data_split","bounding_boxes","word_list","image_raw"]
features:
[{"name":"question","dtype":"string"},{"name":"docId","dtype":"int64"},{"name":"data_split","dtype":"string"},{"name":"bounding_boxes","sequence":{"sequence":"int64"}},{"name":"word_list","sequence":"string"},{"name":"image_raw","dtype":"image"}]


hub_id: Gummybear05/speed_changed_w
license: []
language: []
config_name: default
column_names: ["path","filename","text","quality","city","gender","age","array","audio","sample_rate"]
features:
[{"name":"path","dtype":"string"},{"name":"filename","dtype":"string"},{"name":"text","dtype":"string"},{"name":"quality","dtype":"string"},{"name":"city","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"age","dtype":"string"},{"name":"array","sequence":"float64"},{"name":"audio","dtype":"string"},{"name":"sample_rate","dtype":"int64"}]


hub_id: MoritzLaurer/cap_sotu_simple
license: []
language: []
config_name: default
column_names:
["text","labels","label_cap2","label_cap2_text","label_cap4","year","president","pres_party","id_original","text_original","text_preceding","text_following","doc_id","idx"]

features:
[{"name":"text","dtype":"string"},{"name":"labels","dtype":"string"},{"name":"label_cap2","dtype":"int64"},{"name":"label_cap2_text","dtype":"string"},{"name":"label_cap4","dtype":"int64"},{"name":"year","dtype":"int64"},{"name":"president","dtype":"string"},{"name":"pres_party","dtype":"int64"},{"name":"id_original","dtype":"int64"},{"name":"text_original","dtype":"string"},{"name":"text_preceding","dtype":"string"},{"name":"text_following","dtype":"string"},{"name":"doc_id","dtype":"int64"},{"name":"idx","dtype":"int64"}]


hub_id: Gummybear05/pause_changed1
license: []
language: []
config_name: default
column_names: ["path","filename","text","quality","city","gender","age","audio"]
features:
[{"name":"path","dtype":"string"},{"name":"filename","dtype":"string"},{"name":"text","dtype":"string"},{"name":"quality","dtype":"string"},{"name":"city","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"age","dtype":"string"},{"name":"audio","struct":[{"name":"array","sequence":"float32"},{"name":"path","dtype":"string"},{"name":"sample_rate","dtype":"int64"}]}]


hub_id: nielsr/datacomp-small-with-embeddings-and-cluster-labels
license: []
language: []
config_name: default
column_names:
["uid","url","text","original_width","original_height","clip_b32_similarity_score","clip_l14_similarity_score","face_bboxes","sha256","clip_l14_embedding","cluster_label"]

features:
[{"name":"uid","dtype":"string"},{"name":"url","dtype":"string"},{"name":"text","dtype":"string"},{"name":"original_width","dtype":"int64"},{"name":"original_height","dtype":"int64"},{"name":"clip_b32_similarity_score","dtype":"float32"},{"name":"clip_l14_similarity_score","dtype":"float32"},{"name":"face_bboxes","sequence":{"sequence":"float64"}},{"name":"sha256","dtype":"string"},{"name":"clip_l14_embedding","sequence":"float64"},{"name":"cluster_label","dtype":"int64"}]


hub_id: Dahoas/no_nl_cot_gsm8k
license: []
language: []
config_name: default
column_names: ["question","answer","prompt","response","nl_answer"]
features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"response","dtype":"string"},{"name":"nl_answer","dtype":"string"}]


hub_id: Abdelkareem/zikir_detection
license: []
language: ["ar"]
config_name: default
column_names: ["audio"]
features: [{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}}]
tags:
["task_categories:audio-classification","language:ar","size_categories:n<1K","parquet","audio","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: jxie/coco_captions
license: []
language: []
config_name: default
column_names: ["image","filename","cocoid","caption"]
features:
[{"name":"image","dtype":"image"},{"name":"filename","dtype":"string"},{"name":"cocoid","dtype":"int32"},{"name":"caption","dtype":"string"}]


hub_id: alzoubi36/piextract
license: []
language: []
config_name: default
column_names: ["COLLECT","NOT_COLLECT","NOT_SHARE","SHARE"]
features:
[{"name":"COLLECT","struct":[{"name":"subtask","dtype":"string"},{"name":"tags","sequence":"string"},{"name":"tokens","sequence":"string"}]},{"name":"NOT_COLLECT","struct":[{"name":"subtask","dtype":"string"},{"name":"tags","sequence":"string"},{"name":"tokens","sequence":"string"}]},{"name":"NOT_SHARE","struct":[{"name":"subtask","dtype":"string"},{"name":"tags","sequence":"string"},{"name":"tokens","sequence":"string"}]},{"name":"SHARE","struct":[{"name":"subtask","dtype":"string"},{"name":"tags","sequence":"string"},{"name":"tokens","sequence":"string"}]}]


hub_id: alzoubi36/policy_ie_b
license: []
language: []
config_name: default
column_names: ["type-I","type-II"]
features:
[{"name":"type-I","struct":[{"name":"subtask","dtype":"string"},{"name":"tags","sequence":"string"},{"name":"tokens","sequence":"string"}]},{"name":"type-II","struct":[{"name":"subtask","dtype":"string"},{"name":"tags","sequence":"string"},{"name":"tokens","sequence":"string"}]}]


hub_id: KPrashanth/articles_dataset
license: []
language: []
config_name: default
column_names: ["input","output"]
features: [{"name":"input","dtype":"string"},{"name":"output","dtype":"string"}]
tags:
["task_categories:text-generation","task_categories:summarization","task_categories:text2text-generation","task_categories:text-classification","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: umarbutler/open-australian-legal-corpus
license: ["other"]
language: ["en"]
config_name: corpus
column_names: ["version_id","type","jurisdiction","source","mime","date","citation","url","when_scraped","text"]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_categories:text-retrieval","task_ids:language-modeling","task_ids:masked-language-modeling","task_ids:document-retrieval","annotations_creators:no-annotation","language_creators:found","source_datasets:Federal Register of Legislation","source_datasets:Federal Court of Australia","source_datasets:High Court of Australia","source_datasets:NSW Caselaw","source_datasets:NSW Legislation","source_datasets:Queensland Legislation","source_datasets:Western Australian Legislation","source_datasets:South Australian Legislation","source_datasets:Tasmanian Legislation","language:en","license:other","size_categories:10M<n<100M","json","text","datasets","pandas","mlcroissant","doi:10.57967/hf/2427","region:us","law","legal","australia","croissant"]

features:
[{"name":"version_id","dtype":"string"},{"name":"type","dtype":"string"},{"name":"jurisdiction","dtype":"string"},{"name":"source","dtype":"string"},{"name":"mime","dtype":"string"},{"name":"date","dtype":"string"},{"name":"citation","dtype":"string"},{"name":"url","dtype":"string"},{"name":"when_scraped","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: hezarai/lscp-pos-500k
license: []
language: ["fa"]
config_name: default
column_names: ["tokens","pos_tags"]
tags:
["task_categories:token-classification","language:fa","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"tokens","sequence":"string"},{"name":"pos_tags","sequence":{"class_label":{"names":{"0":"P","1":"Ne","2":"PRO","3":"CONJ","4":"N","5":"PUNC","6":"Pe","7":"ADV","8":"V","9":"AJ","10":"AJe","11":"DET","12":"POSTP","13":"NUM","14":"DETe","15":"NUMe","16":"PROe","17":"ADVe","18":"RES","19":"CL","20":"INT","21":"CONJe","22":"RESe"}}}}]


hub_id: Gaivoronsky/hh-rlhf-ru-rl
license: []
language: ["ru"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["language:ru","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: kailasv/ArtWhisperer
license: ["mit"]
language: []
config_name: default
column_names:
["user_id","target_id","target_image","target_positive_prompt","target_negative_prompt","target_image_embedding","target_positive_text_embedding","target_negative_text_embedding","Famous person?","Famous landmark?","Manmade?","People?","Real image?","AI image?","Art?","Nature?","City?","Fantasy?","Sci-fi or space?","generated_image","generated_positive_prompt","generated_negative_prompt","generated_image_embedding","generated_positive_text_embedding","generated_negative_text_embedding","ai_model_name","trajectory_index","score","human_rating","time_taken","filtered_image"]

features:
[{"name":"user_id","dtype":"string"},{"name":"target_id","dtype":"string"},{"name":"target_image","dtype":"image"},{"name":"target_positive_prompt","dtype":"string"},{"name":"target_negative_prompt","dtype":"string"},{"name":"target_image_embedding","sequence":[{"name":"value","dtype":"float32"}]},{"name":"target_positive_text_embedding","sequence":[{"name":"value","dtype":"float32"}]},{"name":"target_negative_text_embedding","sequence":[{"name":"value","dtype":"float32"}]},{"name":"Famous person?","dtype":"bool"},{"name":"Famous landmark?","dtype":"bool"},{"name":"Manmade?","dtype":"bool"},{"name":"People?","dtype":"bool"},{"name":"Real image?","dtype":"bool"},{"name":"AI image?","dtype":"bool"},{"name":"Art?","dtype":"bool"},{"name":"Nature?","dtype":"bool"},{"name":"City?","dtype":"bool"},{"name":"Fantasy?","dtype":"bool"},{"name":"Sci-fi or space?","dtype":"bool"},{"name":"generated_image","dtype":"image"},{"name":"generated_positive_prompt","dtype":"string"},{"name":"generated_negative_prompt","dtype":"string"},{"name":"generated_image_embedding","sequence":[{"name":"value","dtype":"float32"}]},{"name":"generated_positive_text_embedding","sequence":[{"name":"value","dtype":"float32"}]},{"name":"generated_negative_text_embedding","sequence":[{"name":"value","dtype":"float32"}]},{"name":"ai_model_name","dtype":"string"},{"name":"trajectory_index","dtype":"int32"},{"name":"score","dtype":"int32"},{"name":"human_rating","dtype":"float32"},{"name":"time_taken","dtype":"duration[s]"},{"name":"filtered_image","dtype":"bool"}]


hub_id: ChanceFocus/flare-finqa
license: []
language: []
config_name: default
column_names: ["id","query","answer","text"]
features:
[{"name":"id","dtype":"string"},{"name":"query","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: jhilgar/uniparc
license: ["cc"]
language: []
config_name: default
column_names: ["input_ids"]
features: [{"name":"input_ids","dtype":"string"}]
tags:
["license:cc","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: yuhsinchan/nmsqa_seg
license: []
language: []
config_name: default
column_names: ["context_code","context_cnt","question_code","question_cnt","start_idx","end_idx"]
features:
[{"name":"context_code","sequence":"int16"},{"name":"context_cnt","sequence":"int16"},{"name":"question_code","sequence":"int16"},{"name":"question_cnt","sequence":"int16"},{"name":"start_idx","dtype":"int64"},{"name":"end_idx","dtype":"int64"}]


hub_id: DataStudio/OCR_underline_part_1
license: []
language: ["vi"]
config_name: default
column_names: ["image","text"]
features: [{"name":"image","dtype":"image"},{"name":"text","dtype":"string"}]
tags:
["language:vi","size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: jxie/flickr8k
license: []
language: []
config_name: default
column_names: ["image","caption_0","caption_1","caption_2","caption_3","caption_4"]
features:
[{"name":"image","dtype":"image"},{"name":"caption_0","dtype":"string"},{"name":"caption_1","dtype":"string"},{"name":"caption_2","dtype":"string"},{"name":"caption_3","dtype":"string"},{"name":"caption_4","dtype":"string"}]


hub_id: a3ahmad/smdb_derivatives
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["Expression","Derivative"]
features: [{"name":"Expression","dtype":"string"},{"name":"Derivative","dtype":"string"}]
tags:
["task_categories:translation","license:apache-2.0","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","arxiv:1912.01412","region:us","croissant"]


hub_id: vegeta/testargilla
license: []
language: []
config_name: default
column_names: ["metadata","text","label","question-1","question-2","external_id"]
tags:
["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","rlfh","argilla","human-feedback","croissant"]

features:
[{"name":"metadata","dtype":"string"},{"name":"text","dtype":"string","id":"field"},{"name":"label","dtype":"string","id":"field"},{"name":"question-1","sequence":[{"name":"user_id","dtype":"string"},{"name":"value","dtype":"string"},{"name":"status","dtype":"string"}],"id":"question"},{"name":"question-2","sequence":[{"name":"user_id","dtype":"string"},{"name":"value","dtype":"int32"},{"name":"status","dtype":"string"}],"id":"question"},{"name":"external_id","dtype":"string","id":"external_id"}]


hub_id: voynow/python-repos-metadata-and-code
license: []
language: []
config_name: default
column_names: ["page_content","file_path","file_name","file_type","repo_name"]
features:
[{"name":"page_content","dtype":"large_string"},{"name":"file_path","dtype":"large_string"},{"name":"file_name","dtype":"large_string"},{"name":"file_type","dtype":"large_string"},{"name":"repo_name","dtype":"large_string"}]


hub_id: roszcz/qrs-swipe-demo
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["time","label","position","is_beat","signal","exam_uid","to_review"]
features:
[{"name":"time","dtype":"timestamp[us]"},{"name":"label","dtype":"string"},{"name":"position","dtype":"int64"},{"name":"is_beat","dtype":"bool"},{"name":"signal","dtype":{"array2_d":{"shape":[1200,3],"dtype":"int16"}}},{"name":"exam_uid","dtype":"string"},{"name":"to_review","dtype":"bool"}]


hub_id: ChanceFocus/flare-headlines
license: []
language: []
config_name: default
column_names: ["id","query","answer","choices","gold","label_type"]
features:
[{"name":"id","dtype":"string"},{"name":"query","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"choices","sequence":"string"},{"name":"gold","dtype":"int64"},{"name":"label_type","dtype":"string"}]


hub_id: AlekseyKorshuk/DotCHA-100k-preprocessed
tags: ["size_categories:100K<n<1M","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["letter","buckets"]
features:
[{"name":"letter","sequence":"int64"},{"name":"buckets","sequence":{"sequence":{"sequence":"float64"}}}]


hub_id: itinerai/pinecone_input
license: []
language: []
config_name: default
column_names:
["PICTURE","DESTINATION","REVIEWS","URL","RATING","NAME","categories","description","output","ada_embedding","num_tokens"]

features:
[{"name":"PICTURE","dtype":"string"},{"name":"DESTINATION","dtype":"string"},{"name":"REVIEWS","dtype":"string"},{"name":"URL","dtype":"string"},{"name":"RATING","dtype":"float64"},{"name":"NAME","dtype":"string"},{"name":"categories","dtype":"string"},{"name":"description","dtype":"string"},{"name":"output","dtype":"string"},{"name":"ada_embedding","sequence":"float64"},{"name":"num_tokens","dtype":"int64"}]


hub_id: abeer411/researchGan
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"MEN_Coats","1":"MEN_Hood","2":"MEN_Sneaker","3":"MEN_Suits","4":"MEN_Watch","5":"WOMEN_Bag","6":"WOMEN_Dress","7":"WOMEN_Hood","8":"WOMEN_Sundals","9":"WOMEN_Watch"}}}}]


hub_id: roborovski/crd-preproc
license: []
language: []
config_name: default
column_names: ["chunk","chunk_id","turn_start","turn_end","alignment_score","turns","text"]
features:
[{"name":"chunk","dtype":"string"},{"name":"chunk_id","dtype":"int32"},{"name":"turn_start","dtype":"int32"},{"name":"turn_end","dtype":"int32"},{"name":"alignment_score","dtype":"float32"},{"name":"turns","list":[{"name":"names","sequence":"string"},{"name":"utterances","sequence":"string"},{"name":"number","dtype":"int32"}]},{"name":"text","dtype":"string"}]


hub_id: sshh12/planet-textures
license: ["cc-by-nc-4.0"]
language: ["en"]
config_name: default
column_names: ["image","text"]
features: [{"name":"image","dtype":"image"},{"name":"text","dtype":"string"}]
tags:
["task_categories:text-to-image","language:en","license:cc-by-nc-4.0","size_categories:n<1K","imagefolder","image","text","datasets","mlcroissant","region:us","planets","space","procedural-generation","croissant"]


hub_id: Multimodal-Fatima/cv-as-nlp-vision-example
license: []
language: []
config_name: default
column_names:
["image","label","id","Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full","clip_tags_LAION_ViT_H_14_2B_simple_specific"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"abyssinian","1":"american bulldog","2":"american pit bull terrier","3":"basset hound","4":"beagle","5":"bengal","6":"birman","7":"bombay","8":"boxer","9":"british shorthair","10":"chihuahua","11":"egyptian mau","12":"english cocker spaniel","13":"english setter","14":"german shorthaired","15":"great pyrenees","16":"havanese","17":"japanese chin","18":"keeshond","19":"leonberger","20":"maine coon","21":"miniature pinscher","22":"newfoundland","23":"persian","24":"pomeranian","25":"pug","26":"ragdoll","27":"russian blue","28":"saint bernard","29":"samoyed","30":"scottish terrier","31":"shiba inu","32":"siamese","33":"sphynx","34":"staffordshire bull terrier","35":"wheaten terrier","36":"yorkshire terrier"}}}},{"name":"id","dtype":"int64"},{"name":"Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full","sequence":"string"},{"name":"clip_tags_LAION_ViT_H_14_2B_simple_specific","sequence":"string"}]


hub_id: Multimodal-Fatima/cv-as-nlp-vqa-example
license: []
language: []
config_name: default
column_names:
["multiple_choice_answer","answers","id_image","question_id","question","image","id","blip_caption_Salesforce_blip_image_captioning_large_intensive"]

features:
[{"name":"multiple_choice_answer","dtype":"string"},{"name":"answers","sequence":"string"},{"name":"id_image","dtype":"int64"},{"name":"question_id","dtype":"int64"},{"name":"question","dtype":"string"},{"name":"image","dtype":"image"},{"name":"id","dtype":"int64"},{"name":"blip_caption_Salesforce_blip_image_captioning_large_intensive","sequence":"string"}]


hub_id: ademax/ocr_underline_vi
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["image","text","meta"]
features:
[{"name":"image","dtype":"image"},{"name":"text","dtype":"string"},{"name":"meta","struct":[{"name":"path","dtype":"string"},{"name":"subset","dtype":"string"}]}]


hub_id: phiyodr/coco2017
license: []
language: ["en"]
config_name: default
tags:
["task_categories:image-to-text","task_ids:image-captioning","language:en","size_categories:100K<n<1M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","coco","image-captioning","croissant"]

column_names:
["license","file_name","coco_url","height","width","date_captured","flickr_url","image_id","ids","captions"]

features:
[{"name":"license","dtype":"int64"},{"name":"file_name","dtype":"string"},{"name":"coco_url","dtype":"string"},{"name":"height","dtype":"int64"},{"name":"width","dtype":"int64"},{"name":"date_captured","dtype":"string"},{"name":"flickr_url","dtype":"string"},{"name":"image_id","dtype":"int64"},{"name":"ids","sequence":"int64"},{"name":"captions","sequence":"string"}]


hub_id: liuqingwen/github-issues
license: ["mit"]
language: []
config_name: default
tags:
["license:mit","size_categories:1K<n<10K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: shahules786/llm-eval
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["instruction","response","input"]
features:
[{"name":"instruction","dtype":"string"},{"name":"response","dtype":"string"},{"name":"input","dtype":"string"}]


hub_id: Kamaljp/comments_classed
license: []
language: []
config_name: default
column_names:
["top_comment","reply","top_author","reply_author","comment_date","comment_time","reply_date","reply_time","reply_class","comment_class","__index_level_0__"]

features:
[{"name":"top_comment","dtype":"string"},{"name":"reply","dtype":"string"},{"name":"top_author","dtype":"string"},{"name":"reply_author","dtype":"string"},{"name":"comment_date","dtype":"string"},{"name":"comment_time","dtype":"string"},{"name":"reply_date","dtype":"string"},{"name":"reply_time","dtype":"string"},{"name":"reply_class","dtype":"string"},{"name":"comment_class","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: bartoszmaj/process
license: ["openrail"]
language: []
config_name: default
column_names: ["nouns"]
features: [{"name":"nouns","dtype":"string"}]
tags:
["license:openrail","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: bartoszmaj/nouns_one
license: ["openrail"]
language: []
config_name: default
column_names: ["nouns"]
features: [{"name":"nouns","sequence":"string"}]
tags:
["license:openrail","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: TrainingDataPro/people-tracking-dataset
license: ["cc-by-nc-nd-4.0"]
language: ["en"]
config_name: default
column_names: ["image_id","image","mask","annotations"]
tags:
["task_categories:image-segmentation","task_categories:image-classification","task_categories:object-detection","task_categories:image-to-image","language:en","license:cc-by-nc-nd-4.0","region:us","legal","code"]

features:
[{"name":"image_id","dtype":"int32"},{"name":"image","dtype":"image"},{"name":"mask","dtype":"image"},{"name":"annotations","dtype":"string"}]


hub_id: TrainingDataPro/cars-video-object-tracking
license: ["cc-by-nc-nd-4.0"]
language: ["en"]
config_name: default
column_names: ["image_id","image","mask","annotations"]
tags:
["task_categories:image-segmentation","task_categories:image-classification","language:en","license:cc-by-nc-nd-4.0","region:us","code"]

features:
[{"name":"image_id","dtype":"int32"},{"name":"image","dtype":"image"},{"name":"mask","dtype":"image"},{"name":"annotations","dtype":"string"}]


hub_id: MohamedExperio/rvl
license: []
language: []
config_name: default
column_names: ["image","label","ground_truth"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":"int64"},{"name":"ground_truth","dtype":"string"}]


hub_id: AnaniyaX/indiana_uni_chest_x_ray
license: ["unknown"]
language: []
config_name: default
column_names: ["images","predictions"]
features: [{"name":"images","dtype":"image"},{"name":"predictions","dtype":"string"}]
tags:
["license:unknown","size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: Amselco/dollyfitext
license: []
language: []
config_name: default
column_names: ["ohje","konteksti","vastaus","kategoria","text2","text1"]
features:
[{"name":"ohje","dtype":"string"},{"name":"konteksti","dtype":"string"},{"name":"vastaus","dtype":"string"},{"name":"kategoria","dtype":"string"},{"name":"text2","dtype":"string"},{"name":"text1","dtype":"string"}]


hub_id: rafaelpadilla/interior-cgi
tags: ["size_categories:1K<n<10K","image","text","datasets","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["image","label_id","label_name"]
features:
[{"name":"image","dtype":"image"},{"name":"label_id","dtype":{"class_label":{"names":{"0":"bathroom","1":"bedroom","2":"dining_room","3":"kitchen","4":"living_room"}}}},{"name":"label_name","dtype":"string"}]


hub_id: yuhsinchan/nmsqa_seg-dev_test
license: []
language: []
config_name: default
column_names:
["case_id","context_code","context_cnt","question_code","question_cnt","start_idx","end_idx","start_time","end_time"]

features:
[{"name":"case_id","dtype":"string"},{"name":"context_code","sequence":"int16"},{"name":"context_cnt","sequence":"int16"},{"name":"question_code","sequence":"int16"},{"name":"question_cnt","sequence":"int16"},{"name":"start_idx","dtype":"int64"},{"name":"end_idx","dtype":"int64"},{"name":"start_time","dtype":"float64"},{"name":"end_time","dtype":"float64"}]


hub_id: richardr1126/spider-context-validation
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["db_id","question","db_info","ground_truth"]
tags:
["source_datasets:spider","language:en","license:cc-by-4.0","size_categories:1K<n<10K","json","text","datasets","mlcroissant","region:us","text-to-sql","SQL","spider","validation","eval","spider-eval","croissant"]

features:
[{"name":"db_id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"db_info","dtype":"string"},{"name":"ground_truth","dtype":"string"}]


hub_id: VictorSanh/obelisc_23k_w_ldatopics_tr_199_w_xattn_opt_step-28000
license: []
language: []
config_name: default
column_names: ["images","texts","key","loss","embedding","topic_distribution"]
tags:
["size_categories:10K<n<100K","parquet","image","text","timeseries","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"images","list":"image"},{"name":"texts","list":"string"},{"name":"key","dtype":"string"},{"name":"loss","dtype":"float32"},{"name":"embedding","sequence":"float32"},{"name":"topic_distribution","sequence":"float32"}]


hub_id: notrichardren/truthfulness_legacy
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["claim","label","explanation","common_knowledge_label","origin_dataset"]
tags:
["license:apache-2.0","size_categories:100K<n<1M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"claim","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"explanation","dtype":"string"},{"name":"common_knowledge_label","dtype":"float64"},{"name":"origin_dataset","dtype":"string"}]


hub_id: bigheiniuJ/EvalMetaICL
license: []
language: []
config_name: default
column_names: ["task","input","output","options","seed","split"]
features:
[{"name":"task","dtype":"string"},{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"options","sequence":"string"},{"name":"seed","dtype":"string"},{"name":"split","dtype":"string"}]


hub_id: bcui19/chat-v2-anthropic-helpfulness
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["prompt","response","source"]
tags:
["license:apache-2.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: wisenut-nlp-team/namu
license: ["cc-by-4.0"]
language: []
config_name: default
column_names: ["title","text","contributors","id"]
tags:
["license:cc-by-4.0","size_categories:1M<n<10M","text","datasets","mlcroissant","region:us","croissant"]

features:
[{"name":"title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"contributors","sequence":"string"},{"name":"id","dtype":"string"}]


hub_id: ademax/ocr_en
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["text","image","meta"]
features:
[{"name":"text","dtype":"string"},{"name":"image","dtype":"image"},{"name":"meta","struct":[{"name":"path","dtype":"string"},{"name":"subset","dtype":"string"}]}]


hub_id: Winniehyww/XXX
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["image","label","text","bbox"]
features:
[{"name":"image","dtype":"string"},{"name":"label","dtype":"string"},{"name":"text","dtype":"string"},{"name":"bbox","sequence":{"sequence":"int64"}}]


hub_id: shinonomelab/cleanvid-15m_map
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["id","description","duration","aspectratio","videourl","author","categories","framerate","r18"]
tags:
["task_categories:text-to-video","task_categories:video-classification","language:en","license:cc-by-4.0","size_categories:10M<n<100M","parquet","tabular","text","datasets","dask","mlcroissant","region:us","captions","metadata","croissant"]

features:
[{"name":"id","dtype":"int64"},{"name":"description","dtype":"string"},{"name":"duration","dtype":"float64"},{"name":"aspectratio","dtype":"string"},{"name":"videourl","dtype":"string"},{"name":"author","dtype":"string"},{"name":"categories","dtype":"string"},{"name":"framerate","dtype":"float64"},{"name":"r18","dtype":"int64"}]


hub_id: GATE-engine/medical_decathlon
license: []
language: []
config_name: default
column_names: ["image","label","image_meta_dict","label_meta_dict","task_name"]
features:
[{"name":"image","sequence":{"sequence":{"sequence":{"sequence":"float32"}}}},{"name":"label","sequence":{"sequence":{"sequence":{"sequence":"float32"}}}},{"name":"image_meta_dict","struct":[{"name":"affine","sequence":{"sequence":"float64"}},{"name":"as_closest_canonical","dtype":"bool"},{"name":"bitpix","dtype":"int16"},{"name":"cal_max","dtype":"float32"},{"name":"cal_min","dtype":"float32"},{"name":"datatype","dtype":"int16"},{"name":"dim","sequence":"int16"},{"name":"dim_info","dtype":"uint8"},{"name":"extents","dtype":"int32"},{"name":"filename_or_obj","dtype":"string"},{"name":"glmax","dtype":"int32"},{"name":"glmin","dtype":"int32"},{"name":"intent_code","dtype":"int16"},{"name":"intent_p1","dtype":"float32"},{"name":"intent_p2","dtype":"float32"},{"name":"intent_p3","dtype":"float32"},{"name":"original_affine","sequence":{"sequence":"float64"}},{"name":"original_channel_dim","dtype":"int64"},{"name":"pixdim","sequence":"float32"},{"name":"qform_code","dtype":"int16"},{"name":"qoffset_x","dtype":"float32"},{"name":"qoffset_y","dtype":"float32"},{"name":"qoffset_z","dtype":"float32"},{"name":"quatern_b","dtype":"float32"},{"name":"quatern_c","dtype":"float32"},{"name":"quatern_d","dtype":"float32"},{"name":"scl_inter","dtype":"float32"},{"name":"scl_slope","dtype":"float32"},{"name":"session_error","dtype":"int16"},{"name":"sform_code","dtype":"int16"},{"name":"sizeof_hdr","dtype":"int32"},{"name":"slice_code","dtype":"uint8"},{"name":"slice_duration","dtype":"float32"},{"name":"slice_end","dtype":"int16"},{"name":"slice_start","dtype":"int16"},{"name":"space","dtype":"string"},{"name":"spatial_shape","sequence":"int16"},{"name":"srow_x","sequence":"float32"},{"name":"srow_y","sequence":"float32"},{"name":"srow_z","sequence":"float32"},{"name":"toffset","dtype":"float32"},{"name":"vox_offset","dtype":"float32"},{"name":"xyzt_units","dtype":"uint8"}]},{"name":"label_meta_dict","struct":[{"name":"affine","sequence":{"sequence":"float64"}},{"name":"as_closest_canonical","dtype":"bool"},{"name":"bitpix","dtype":"int16"},{"name":"cal_max","dtype":"float32"},{"name":"cal_min","dtype":"float32"},{"name":"datatype","dtype":"int16"},{"name":"dim","sequence":"int16"},{"name":"dim_info","dtype":"uint8"},{"name":"extents","dtype":"int32"},{"name":"filename_or_obj","dtype":"string"},{"name":"glmax","dtype":"int32"},{"name":"glmin","dtype":"int32"},{"name":"intent_code","dtype":"int16"},{"name":"intent_p1","dtype":"float32"},{"name":"intent_p2","dtype":"float32"},{"name":"intent_p3","dtype":"float32"},{"name":"original_affine","sequence":{"sequence":"float64"}},{"name":"original_channel_dim","dtype":"int64"},{"name":"pixdim","sequence":"float32"},{"name":"qform_code","dtype":"int16"},{"name":"qoffset_x","dtype":"float32"},{"name":"qoffset_y","dtype":"float32"},{"name":"qoffset_z","dtype":"float32"},{"name":"quatern_b","dtype":"float32"},{"name":"quatern_c","dtype":"float32"},{"name":"quatern_d","dtype":"float32"},{"name":"scl_inter","dtype":"float32"},{"name":"scl_slope","dtype":"float32"},{"name":"session_error","dtype":"int16"},{"name":"sform_code","dtype":"int16"},{"name":"sizeof_hdr","dtype":"int32"},{"name":"slice_code","dtype":"uint8"},{"name":"slice_duration","dtype":"float32"},{"name":"slice_end","dtype":"int16"},{"name":"slice_start","dtype":"int16"},{"name":"space","dtype":"string"},{"name":"spatial_shape","sequence":"int16"},{"name":"srow_x","sequence":"float32"},{"name":"srow_y","sequence":"float32"},{"name":"srow_z","sequence":"float32"},{"name":"toffset","dtype":"float32"},{"name":"vox_offset","dtype":"float32"},{"name":"xyzt_units","dtype":"uint8"}]},{"name":"task_name","dtype":"string"}]


hub_id: wisenut-nlp-team/korquad_v1.0
license: []
language: []
config_name: default
column_names: ["id","title","context","questions","answers"]
features:
[{"name":"id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"context","dtype":"string"},{"name":"questions","sequence":"string"},{"name":"answers","list":[{"name":"answer_start","sequence":"int64"},{"name":"id","dtype":"string"},{"name":"origin_answer_start","sequence":"int64"},{"name":"origin_text","sequence":"string"},{"name":"text","sequence":"string"}]}]


hub_id: Husam2023/audio
license: []
language: []
config_name: default
column_names: ["audio","label"]
features:
[{"name":"audio","dtype":"audio"},{"name":"label","dtype":{"class_label":{"names":{"0":"bach","1":"beethoven","2":"mozart"}}}}]


hub_id: Whab/deepfake
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"Fake","1":"Real"}}}}]


hub_id: JonasLange/DBD-research-group
license: []
language: []
config_name: default
column_names:
["ID","Audio","Start Time (s)","End Time (s)","Low Freq (Hz)","High Freq (Hz)","Species eBird Code","Call Type","Sex","Latitude","Longitude","Uncertainty","Microphone","License","Source","BirdNet Training Data"]

features:
[{"name":"ID","dtype":"string"},{"name":"Audio","dtype":"audio"},{"name":"Start Time (s)","dtype":"string"},{"name":"End Time (s)","dtype":"string"},{"name":"Low Freq (Hz)","dtype":"string"},{"name":"High Freq (Hz)","dtype":"string"},{"name":"Species eBird Code","dtype":"string"},{"name":"Call Type","dtype":"null"},{"name":"Sex","dtype":"null"},{"name":"Latitude","dtype":"float64"},{"name":"Longitude","dtype":"float64"},{"name":"Uncertainty","dtype":"null"},{"name":"Microphone","dtype":"string"},{"name":"License","dtype":"string"},{"name":"Source","dtype":"string"},{"name":"BirdNet Training Data","dtype":"bool"}]


hub_id: DataStudio/OCR_documents_bluir_part_02
license: []
language: ["vi"]
config_name: default
column_names: ["image","text"]
features: [{"name":"image","dtype":"image"},{"name":"text","dtype":"string"}]
tags:
["task_categories:image-to-text","language:vi","size_categories:100K<n<1M","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: librarian-bots/card_to_task
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["text-generation","fill-mask","text-classification","multiple-choice","question-answering","sentence-similarity","token-classification","image-to-text","summarization","text-to-image","text2text-generation","other","text-retrieval","image-classification","translation","automatic-speech-recognition","zero-shot-classification","audio-classification","image-segmentation","conversational","tabular-classification","object-detection","feature-extraction","table-question-answering","text"]

features:
[{"name":"text-generation","dtype":"bool"},{"name":"fill-mask","dtype":"bool"},{"name":"text-classification","dtype":"bool"},{"name":"multiple-choice","dtype":"bool"},{"name":"question-answering","dtype":"bool"},{"name":"sentence-similarity","dtype":"bool"},{"name":"token-classification","dtype":"bool"},{"name":"image-to-text","dtype":"bool"},{"name":"summarization","dtype":"bool"},{"name":"text-to-image","dtype":"bool"},{"name":"text2text-generation","dtype":"bool"},{"name":"other","dtype":"bool"},{"name":"text-retrieval","dtype":"bool"},{"name":"image-classification","dtype":"bool"},{"name":"translation","dtype":"bool"},{"name":"automatic-speech-recognition","dtype":"bool"},{"name":"zero-shot-classification","dtype":"bool"},{"name":"audio-classification","dtype":"bool"},{"name":"image-segmentation","dtype":"bool"},{"name":"conversational","dtype":"bool"},{"name":"tabular-classification","dtype":"bool"},{"name":"object-detection","dtype":"bool"},{"name":"feature-extraction","dtype":"bool"},{"name":"table-question-answering","dtype":"bool"},{"name":"text","dtype":"string"}]


hub_id: causal-lm/instructions
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["instruction","input","output"]
tags:
["task_categories:text-generation","language:en","license:apache-2.0","size_categories:1B<n<10B","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: notrichardren/ms_tf
license: []
language: []
config_name: default
column_names: ["Unnamed: 0","Topic","Question","Correct","__index_level_0__"]
features:
[{"name":"Unnamed: 0","dtype":"int64"},{"name":"Topic","dtype":"string"},{"name":"Question","dtype":"string"},{"name":"Correct","dtype":"float64"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: ChanceFocus/flare-finer-ord
license: []
language: []
config_name: default
column_names: ["id","query","answer","label","token"]
features:
[{"name":"id","dtype":"string"},{"name":"query","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"label","sequence":"string"},{"name":"token","sequence":"string"}]


hub_id: factored/test_fr_explorer_dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["labels","masked_text","text"]
features:
[{"name":"labels","dtype":{"class_label":{"names":{"0":"Data Engineer","1":"Machine Learning Engineer","2":"Data Analyst","3":"Senior Data Engineer","4":"Data Scientist","5":"BI Engineer","6":"Senior Business Intelligence Developer","7":"Full Stack Developer","8":"DevOps Engineer","9":"CTO and Back-End Developer","10":"Software Engineer","11":"BI Analyst","12":"Data Visualization and Business Intelligence Analyst","13":"Innovation and Software Development Manager","14":"Information Governance Analyst","15":"Operations Specialist","16":"Senior Machine Learning Engineer","17":"Data Scientist and Sr. Commercial Intelligence Analyst","18":"Business Intelligence Developer","19":"Pricing Analyst","20":"Senior Big Data Engineer","21":"Analytics Engineer","22":"Operations Maintenance Engineer","23":"Freelance Web Developer","24":"Data Ops/Data Engineer","25":"Master\u2019s Course Designer","26":"Engineer","27":"Logistics Analyst","28":"Software Developer Engineer","29":"Senior Tutor","30":"Data Engineer & Architect","31":"IT Analyst","32":"Freelance Computer Vision Engineer","33":"Undergraduate Researcher","34":"Analytics Consultant","35":"Senior Business Intelligence","36":"Junior Backend Developer","37":"Junior Business Intelligence Consultant","38":"Senior Platform Engineer","39":"Senior Back-End Developer","40":"Teaching Assistant","41":"Data Scientist Research","42":"Sr. Software Data Engineer","43":"Industrial Improvement Intern","44":"Data Science Analyst","45":"Statistical Analyst","46":"Industry and Commerce Analyst","47":"Machine Learning Trainee","48":"Final Thesis Project","49":"Product Manager","50":"Software Developer"}}}},{"name":"masked_text","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: dfurman/All-In-Podcast-Transcripts
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["section_title","section_dialogue","section_time_stamp","episode_title","episode_date"]
tags:
["license:apache-2.0","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"section_title","dtype":"string"},{"name":"section_dialogue","dtype":"string"},{"name":"section_time_stamp","dtype":"string"},{"name":"episode_title","dtype":"string"},{"name":"episode_date","dtype":"string"}]


hub_id: PatrickHaller/wikitext-18-de
license: ["cc-by-sa-3.0"]
language: ["de"]
config_name: default
column_names: ["title","text","url"]
tags:
["task_categories:text-generation","language:de","license:cc-by-sa-3.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

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


hub_id: asun17904/bank_examples
license: []
language: []
config_name: default
column_names: ["id","url","title","sentences","soi","other"]
features:
[{"name":"id","dtype":"string"},{"name":"url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"sentences","sequence":"string"},{"name":"soi","sequence":"string"},{"name":"other","sequence":"string"}]


hub_id: asun17904/no_bank_examples
license: []
language: []
config_name: default
column_names: ["id","url","title","text","sentences"]
features:
[{"name":"id","dtype":"string"},{"name":"url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"sentences","sequence":"string"}]


hub_id: asun17904/bank_examples_with_labels
license: []
language: []
config_name: default
column_names: ["id","url","title","sentences","soi","other","labels"]
features:
[{"name":"id","dtype":"string"},{"name":"url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"sentences","sequence":"string"},{"name":"soi","sequence":"string"},{"name":"other","sequence":"string"},{"name":"labels","dtype":"string"}]


hub_id: Einstellung/demo-salaries
license: ["apache-2.0"]
language: ["en","es"]
config_name: sst2
tags:
["task_categories:tabular-regression","task_categories:tabular-classification","task_ids:tabular-single-column-regression","task_ids:tabular-multi-label-classification","language_creators:crowdsourced","source_datasets:aijobs.net","language:en","language:es","license:apache-2.0","size_categories:1K<n<10K","csv","tabular","text","datasets","pandas","mlcroissant","arxiv:2005.00614","region:us","tabular","2023","Jobs","Computer Science","croissant"]

column_names:
["work_year","experience_level","employment_type","job_title","salary","salary_currency","salary_in_usd","employee_residence","remote_ratio","company_location","company_size"]

features:
[{"name":"work_year","dtype":"int64"},{"name":"experience_level","dtype":"string"},{"name":"employment_type","dtype":"string"},{"name":"job_title","dtype":"string"},{"name":"salary","dtype":"int64"},{"name":"salary_currency","dtype":"string"},{"name":"salary_in_usd","dtype":"int64"},{"name":"employee_residence","dtype":"string"},{"name":"remote_ratio","dtype":"int64"},{"name":"company_location","dtype":"string"},{"name":"company_size","dtype":"string"}]


hub_id: lyogavin/Anima33B_rlhf_belle_eval_1k
license: []
language: []
config_name: default
column_names:
["question","std_answer","class","anima_answer","anima_answer_extraced","inputPrompt","gpt_output","gpt_output_score","chosen","rejected","chosen_token_len","rejected_token_len"]

features:
[{"name":"question","dtype":"string"},{"name":"std_answer","dtype":"string"},{"name":"class","dtype":"string"},{"name":"anima_answer","dtype":"string"},{"name":"anima_answer_extraced","dtype":"string"},{"name":"inputPrompt","dtype":"string"},{"name":"gpt_output","dtype":"string"},{"name":"gpt_output_score","dtype":"float64"},{"name":"chosen","dtype":"string"},{"name":"rejected","dtype":"string"},{"name":"chosen_token_len","dtype":"int64"},{"name":"rejected_token_len","dtype":"int64"}]


hub_id: visual-layer/vl-oxford-iiit-pets
license: ["cc-by-sa-4.0"]
language: []
config_name: default
column_names: ["path","label","dog","image"]
tags:
["task_categories:image-classification","license:cc-by-sa-4.0","size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"path","dtype":"string"},{"name":"label","dtype":"string"},{"name":"dog","dtype":"bool"},{"name":"image","dtype":"image"}]


hub_id: BAAI/COIG-PC-Lite
license: ["unknown"]
language: ["zh"]
config_name: default
column_names: ["instruction","input","output","split","task_name_in_eng","task_type","domain","other","filename"]
tags:
["language:zh","license:unknown","size_categories:1M<n<10M","parquet","image","text","datasets","dask","mlcroissant","arxiv:2304.07987","region:us","croissant"]

features:
[{"name":"instruction","dtype":"string"},{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"split","dtype":"string"},{"name":"task_name_in_eng","dtype":"string"},{"name":"task_type","struct":[{"name":"major","sequence":"string"},{"name":"minor","sequence":"string"}]},{"name":"domain","sequence":"string"},{"name":"other","dtype":"string"},{"name":"filename","dtype":"string"}]


hub_id: bhlim/AAPL-SEC-testdata
license: []
language: ["en"]
config_name: default
column_names: ["cik","date","form","sentenceCount","sentence","filename"]
features:
[{"name":"cik","dtype":"string"},{"name":"date","dtype":"string"},{"name":"form","dtype":"string"},{"name":"sentenceCount","dtype":"int64"},{"name":"sentence","dtype":"string"},{"name":"filename","dtype":"string"}]


hub_id: Nasimnewcode/Tree_species
license: []
language: []
config_name: default
column_names: ["image","label","description"]
features:
[{"name":"image","dtype":"string"},{"name":"label","dtype":"string"},{"name":"description","dtype":"string"}]


hub_id: visual-layer/vl-food101
license: ["other"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["license:other","size_categories:100K<n<1M","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

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


hub_id: DataStudio/OCR_document_random_highligth
license: ["other"]
language: ["vi"]
config_name: default
column_names: ["image","text"]
features: [{"name":"image","dtype":"image"},{"name":"text","dtype":"string"}]
tags:
["task_categories:image-to-text","language:vi","license:other","size_categories:100K<n<1M","region:us"]


hub_id: GATE-engine/automated_cardiac_diagnosis_competition.ACDC
tags: ["size_categories:n<1K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["four_d_img","frame_data"]
features:
[{"name":"four_d_img","sequence":{"sequence":{"sequence":{"sequence":"float32"}}}},{"name":"frame_data","list":[{"name":"img","sequence":{"sequence":{"sequence":"float32"}}},{"name":"label","sequence":{"sequence":{"sequence":"int64"}}}]}]


hub_id: kuanhuggingface/promptTTS_ER_small
license: []
language: []
config_name: default
column_names: ["file","id","audio","label","transcription"]
features:
[{"name":"file","dtype":"string"},{"name":"id","dtype":"string"},{"name":"audio","dtype":"audio"},{"name":"label","dtype":{"class_label":{"names":{"0":"cheerful","1":"neural","2":"sad","3":"shouting"}}}},{"name":"transcription","dtype":"string"}]


hub_id: MoritzLaurer/sentiment_economy_news
license: []
language: []
config_name: default
column_names: ["text","labels","articleid","relevance","positivity","split","positivity_rounded","idx"]
features:
[{"name":"text","dtype":"string"},{"name":"labels","dtype":"string"},{"name":"articleid","dtype":"string"},{"name":"relevance","dtype":"string"},{"name":"positivity","dtype":"string"},{"name":"split","dtype":"string"},{"name":"positivity_rounded","dtype":"string"},{"name":"idx","dtype":"int64"}]


hub_id: Eitanli/qa_updated
license: []
language: ["en"]
config_name: default
column_names: ["summary","text","answer","labels","answer_summary"]
features:
[{"name":"summary","dtype":"string"},{"name":"text","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"labels","dtype":"float64"},{"name":"answer_summary","dtype":"string"}]


hub_id: tasksource/corr2cause
license: ["mit"]
language: []
config_name: default
column_names: ["premise","hypothesis","relation","id"]
tags:
["license:mit","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"relation","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: ccerpas/sentiment-banking
license: []
language: []
config_name: default
features:
[{"name":"text","dtype":"string"},{"name":"inputs","struct":[{"name":"text","dtype":"string"}]},{"name":"prediction","list":[{"name":"label","dtype":"string"},{"name":"score","dtype":"float64"}]},{"name":"prediction_agent","dtype":"string"},{"name":"annotation","dtype":"null"},{"name":"annotation_agent","dtype":"null"},{"name":"multi_label","dtype":"bool"},{"name":"explanation","dtype":"null"},{"name":"id","dtype":"null"},{"name":"metadata","struct":[{"name":"category","dtype":"int64"}]},{"name":"status","dtype":"string"},{"name":"event_timestamp","dtype":"null"},{"name":"metrics","dtype":"null"}]


hub_id: Waster3012/nlp-fever-results
license: ["unknown"]
language: []
config_name: default
column_names: ["claim","label","page_extraction","ranked_sentences"]
tags:
["license:unknown","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"claim","dtype":"string"},{"name":"label","dtype":"string"},{"name":"page_extraction","sequence":"string"},{"name":"ranked_sentences","sequence":"string"}]


hub_id: anzorq/kbd_speech
license: []
language: ["kbd"]
config_name: default
column_names: ["audio","transcription","gender","country","speaker_id"]
tags:
["task_categories:automatic-speech-recognition","task_categories:text-to-speech","language:kbd","size_categories:10K<n<100K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"audio","dtype":"audio"},{"name":"transcription","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"country","dtype":"string"},{"name":"speaker_id","dtype":"int64"}]


hub_id: mactband/sentiment-banking
license: []
language: []
config_name: default
features:
[{"name":"text","dtype":"string"},{"name":"inputs","struct":[{"name":"text","dtype":"string"}]},{"name":"prediction","list":[{"name":"label","dtype":"string"},{"name":"score","dtype":"float64"}]},{"name":"prediction_agent","dtype":"string"},{"name":"annotation","dtype":"null"},{"name":"annotation_agent","dtype":"null"},{"name":"vectors","dtype":"null"},{"name":"multi_label","dtype":"bool"},{"name":"explanation","dtype":"null"},{"name":"id","dtype":"string"},{"name":"metadata","struct":[{"name":"category","dtype":"int64"}]},{"name":"status","dtype":"string"},{"name":"event_timestamp","dtype":"timestamp[us]"},{"name":"metrics","dtype":"null"}]


hub_id: ClimatePolicyRadar/global-stocktake-documents
license: ["cc"]
language: ["en"]
config_name: default
tags:
["language:en","license:cc","size_categories:1M<n<10M","parquet","tabular","text","datasets","pandas","mlcroissant","doi:10.57967/hf/1112","region:us","climate","policy","legal","croissant"]

column_names:
["family_slug","types","role","block_index","date","geography_iso","document_name","variant","type_confidence","document_languages","text_block_id","document_source_url","author_is_party","type","coords","author","family_name","status","collection_id","family_id","language","page_number","text","has_valid_text","document_id","translated","document_content_type","document_md5_sum"]

features:
[{"name":"family_slug","dtype":"string"},{"name":"types","sequence":"string"},{"name":"role","dtype":"string"},{"name":"block_index","dtype":"int64"},{"name":"date","dtype":"date32"},{"name":"geography_iso","dtype":"string"},{"name":"document_name","dtype":"string"},{"name":"variant","dtype":"string"},{"name":"type_confidence","dtype":"float64"},{"name":"document_languages","sequence":"string"},{"name":"text_block_id","dtype":"string"},{"name":"document_source_url","dtype":"string"},{"name":"author_is_party","dtype":"bool"},{"name":"type","dtype":"string"},{"name":"coords","sequence":{"sequence":"float64"}},{"name":"author","sequence":"string"},{"name":"family_name","dtype":"string"},{"name":"status","dtype":"string"},{"name":"collection_id","dtype":"string"},{"name":"family_id","dtype":"string"},{"name":"language","dtype":"string"},{"name":"page_number","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"has_valid_text","dtype":"bool"},{"name":"document_id","dtype":"string"},{"name":"translated","dtype":"bool"},{"name":"document_content_type","dtype":"string"},{"name":"document_md5_sum","dtype":"string"}]


hub_id: arielnlee/Realistic-Occlusion-Dataset
license: ["other"]
language: ["en"]
config_name: default
column_names: ["image","label"]
tags:
["task_categories:image-classification","language:en","license:other","size_categories:1K<n<10K","image","datasets","mlcroissant","arxiv:2306.17848","region:us","occlusion","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"banana","1":"baseball","2":"cowboy hat","3":"cup","4":"dumbbell","5":"hammer","6":"laptop","7":"microwave","8":"mouse","9":"orange","10":"pillow","11":"plate","12":"screwdriver","13":"skillet","14":"spatula","15":"vase"}}}}]


hub_id: atrost/financial_phrasebank
license: []
language: []
config_name: default
column_names: ["sentence","label"]
tags:
["size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:1908.10063","region:us","croissant"]

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


hub_id: euclaise/the-vault-py-filter-import
license: []
language: []
config_name: default
column_names:
["hexsha","repo","path","license","language","identifier","return_type","original_string","original_docstring","docstring","docstring_tokens","code","code_tokens","short_docstring","short_docstring_tokens","comment","parameters","docstring_params","code_with_imports"]

features:
[{"name":"hexsha","dtype":"string"},{"name":"repo","dtype":"string"},{"name":"path","dtype":"string"},{"name":"license","sequence":"string"},{"name":"language","dtype":"string"},{"name":"identifier","dtype":"string"},{"name":"return_type","dtype":"string"},{"name":"original_string","dtype":"string"},{"name":"original_docstring","dtype":"string"},{"name":"docstring","dtype":"string"},{"name":"docstring_tokens","sequence":"string"},{"name":"code","dtype":"string"},{"name":"code_tokens","sequence":"string"},{"name":"short_docstring","dtype":"string"},{"name":"short_docstring_tokens","sequence":"string"},{"name":"comment","sequence":"string"},{"name":"parameters","list":[{"name":"param","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"docstring_params","struct":[{"name":"returns","list":[{"name":"docstring","dtype":"string"},{"name":"docstring_tokens","sequence":"string"},{"name":"type","dtype":"string"}]},{"name":"raises","list":[{"name":"docstring","dtype":"string"},{"name":"docstring_tokens","sequence":"string"},{"name":"type","dtype":"string"}]},{"name":"params","list":[{"name":"identifier","dtype":"string"},{"name":"type","dtype":"string"},{"name":"docstring","dtype":"string"},{"name":"docstring_tokens","sequence":"string"},{"name":"default","dtype":"string"},{"name":"is_optional","dtype":"bool"}]},{"name":"outlier_params","list":[{"name":"identifier","dtype":"string"},{"name":"type","dtype":"string"},{"name":"docstring","dtype":"string"},{"name":"docstring_tokens","sequence":"string"},{"name":"default","dtype":"string"},{"name":"is_optional","dtype":"bool"}]},{"name":"others","list":[{"name":"identifier","dtype":"string"},{"name":"docstring","dtype":"string"},{"name":"docstring_tokens","sequence":"string"}]}]},{"name":"code_with_imports","dtype":"string"}]


hub_id: goendalf666/sql-context-instructions
license: []
language: []
config_name: default
column_names:
["phase","question","sql","header","page_title","page_id","types","id","section_title","caption","rows","name","human_readable","sel","agg","conds","sql_table","sql_alpaca_format_one_table","sql_alpaca_format","__index_level_0__"]

features:
[{"name":"phase","dtype":"int32"},{"name":"question","dtype":"string"},{"name":"sql","struct":[{"name":"agg","dtype":"int64"},{"name":"conds","struct":[{"name":"column_index","sequence":"int32"},{"name":"condition","sequence":"string"},{"name":"operator_index","sequence":"int32"}]},{"name":"human_readable","dtype":"string"},{"name":"sel","dtype":"int64"}]},{"name":"header","sequence":"string"},{"name":"page_title","dtype":"string"},{"name":"page_id","dtype":"string"},{"name":"types","sequence":"string"},{"name":"id","dtype":"string"},{"name":"section_title","dtype":"string"},{"name":"caption","dtype":"string"},{"name":"rows","sequence":{"sequence":"string"}},{"name":"name","dtype":"string"},{"name":"human_readable","dtype":"string"},{"name":"sel","dtype":"int64"},{"name":"agg","dtype":"int64"},{"name":"conds","struct":[{"name":"column_index","sequence":"int32"},{"name":"condition","sequence":"string"},{"name":"operator_index","sequence":"int32"}]},{"name":"sql_table","dtype":"string"},{"name":"sql_alpaca_format_one_table","dtype":"string"},{"name":"sql_alpaca_format","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: kuanhuggingface/PromptTTS_Emotion_Recognition
license: []
language: []
config_name: default
column_names: ["file","id","audio","label","transcription"]
features:
[{"name":"file","dtype":"string"},{"name":"id","dtype":"string"},{"name":"audio","dtype":"audio"},{"name":"label","dtype":{"class_label":{"names":{"0":"cheerful","1":"neural","2":"sad","3":"shouting","4":"whispering"}}}},{"name":"transcription","dtype":"string"}]


hub_id: nuprl/leetcode-js
license: []
language: []
config_name: default
column_names: ["QID","titleSlug","Hints","Code","Body","Difficulty","Topics","Definitions","Solutions"]
features:
[{"name":"QID","dtype":"int64"},{"name":"titleSlug","dtype":"string"},{"name":"Hints","sequence":"string"},{"name":"Code","dtype":"string"},{"name":"Body","dtype":"string"},{"name":"Difficulty","dtype":"string"},{"name":"Topics","sequence":"string"},{"name":"Definitions","dtype":"string"},{"name":"Solutions","sequence":"string"}]


hub_id: sayakpaul/xl-base-0.9-refiner-parti-prompts
license: []
language: []
config_name: default
column_names: ["prompt","image_one","image_two","image_three","image_four"]
features:
[{"name":"prompt","dtype":"string"},{"name":"image_one","dtype":"image"},{"name":"image_two","dtype":"image"},{"name":"image_three","dtype":"image"},{"name":"image_four","dtype":"image"}]


hub_id: MAPS-research/GEMRec-PromptBook
license: ["openrail"]
language: ["en"]
config_name: default
tags:
["task_categories:text-to-image","language:en","license:openrail","size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","region:us","art","stable diffusion","diffusers","croissant"]

column_names:
["image","image_id","tag","model_id","modelVersion_id","prompt_id","size","seed","prompt","negativePrompt","cfgScale","sampler","note","nsfw_score","mcos_score","clip_score","norm_clip","norm_mcos","norm_nsfw","norm_pop"]

features:
[{"name":"image","dtype":"image"},{"name":"image_id","dtype":"string"},{"name":"tag","dtype":"string"},{"name":"model_id","dtype":"int64"},{"name":"modelVersion_id","dtype":"int64"},{"name":"prompt_id","dtype":"int64"},{"name":"size","dtype":"string"},{"name":"seed","dtype":"int64"},{"name":"prompt","dtype":"string"},{"name":"negativePrompt","dtype":"string"},{"name":"cfgScale","dtype":"int64"},{"name":"sampler","dtype":"string"},{"name":"note","dtype":"string"},{"name":"nsfw_score","dtype":"float64"},{"name":"mcos_score","dtype":"float64"},{"name":"clip_score","dtype":"float64"},{"name":"norm_clip","dtype":"float64"},{"name":"norm_mcos","dtype":"float64"},{"name":"norm_nsfw","dtype":"float64"},{"name":"norm_pop","dtype":"float64"}]


hub_id: lombardata/panoptic_2023_06_29
license: []
language: []
config_name: default
column_names: ["image","label","segments_info","image_name"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":"image"},{"name":"segments_info","list":[{"name":"area","dtype":"int64"},{"name":"bbox","sequence":"float64"},{"name":"category_id","dtype":"int64"},{"name":"id","dtype":"int64"},{"name":"iscrowd","dtype":"int64"}]},{"name":"image_name","dtype":"string"}]


hub_id: DynamicSuperb/StressDetection_MIRSD
license: []
language: []
config_name: default
column_names: ["file","audio","label","word","instruction"]
features:
[{"name":"file","dtype":"string"},{"name":"audio","dtype":"audio"},{"name":"label","dtype":"string"},{"name":"word","dtype":"string"},{"name":"instruction","dtype":"string"}]


hub_id: visual-layer/vl-imagenet-1k
license: ["other"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["license:other","size_categories:1M<n<10M","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":{"image":{"decode":false}}},{"name":"label","dtype":{"class_label":{"names":{"0":"tench, Tinca tinca","1":"goldfish, Carassius auratus","2":"great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias","3":"tiger shark, Galeocerdo cuvieri","4":"hammerhead, hammerhead shark","5":"electric ray, crampfish, numbfish, torpedo","6":"stingray","7":"cock","8":"hen","9":"ostrich, Struthio camelus","10":"brambling, Fringilla montifringilla","11":"goldfinch, Carduelis carduelis","12":"house finch, linnet, Carpodacus mexicanus","13":"junco, snowbird","14":"indigo bunting, indigo finch, indigo bird, Passerina cyanea","15":"robin, American robin, Turdus migratorius","16":"bulbul","17":"jay","18":"magpie","19":"chickadee","20":"water ouzel, dipper","21":"kite","22":"bald eagle, American eagle, Haliaeetus leucocephalus","23":"vulture","24":"great grey owl, great gray owl, Strix nebulosa","25":"European fire salamander, Salamandra salamandra","26":"common newt, Triturus vulgaris","27":"eft","28":"spotted salamander, Ambystoma maculatum","29":"axolotl, mud puppy, Ambystoma mexicanum","30":"bullfrog, Rana catesbeiana","31":"tree frog, tree-frog","32":"tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui","33":"loggerhead, loggerhead turtle, Caretta caretta","34":"leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea","35":"mud turtle","36":"terrapin","37":"box turtle, box tortoise","38":"banded gecko","39":"common iguana, iguana, Iguana iguana","40":"American chameleon, anole, Anolis carolinensis","41":"whiptail, whiptail lizard","42":"agama","43":"frilled lizard, Chlamydosaurus kingi","44":"alligator lizard","45":"Gila monster, Heloderma suspectum","46":"green lizard, Lacerta viridis","47":"African chameleon, Chamaeleo chamaeleon","48":"Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis","49":"African crocodile, Nile crocodile, Crocodylus niloticus","50":"American alligator, Alligator mississipiensis","51":"triceratops","52":"thunder snake, worm snake, Carphophis amoenus","53":"ringneck snake, ring-necked snake, ring snake","54":"hognose snake, puff adder, sand viper","55":"green snake, grass snake","56":"king snake, kingsnake","57":"garter snake, grass snake","58":"water snake","59":"vine snake","60":"night snake, Hypsiglena torquata","61":"boa constrictor, Constrictor constrictor","62":"rock python, rock snake, Python sebae","63":"Indian cobra, Naja naja","64":"green mamba","65":"sea snake","66":"horned viper, cerastes, sand viper, horned asp, Cerastes cornutus","67":"diamondback, diamondback rattlesnake, Crotalus adamanteus","68":"sidewinder, horned rattlesnake, Crotalus cerastes","69":"trilobite","70":"harvestman, daddy longlegs, Phalangium opilio","71":"scorpion","72":"black and gold garden spider, Argiope aurantia","73":"barn spider, Araneus cavaticus","74":"garden spider, Aranea diademata","75":"black widow, Latrodectus mactans","76":"tarantula","77":"wolf spider, hunting spider","78":"tick","79":"centipede","80":"black grouse","81":"ptarmigan","82":"ruffed grouse, partridge, Bonasa umbellus","83":"prairie chicken, prairie grouse, prairie fowl","84":"peacock","85":"quail","86":"partridge","87":"African grey, African gray, Psittacus erithacus","88":"macaw","89":"sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita","90":"lorikeet","91":"coucal","92":"bee eater","93":"hornbill","94":"hummingbird","95":"jacamar","96":"toucan","97":"drake","98":"red-breasted merganser, Mergus serrator","99":"goose","100":"black swan, Cygnus atratus","101":"tusker","102":"echidna, spiny anteater, anteater","103":"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus","104":"wallaby, brush kangaroo","105":"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus","106":"wombat","107":"jellyfish","108":"sea anemone, anemone","109":"brain coral","110":"flatworm, platyhelminth","111":"nematode, nematode worm, roundworm","112":"conch","113":"snail","114":"slug","115":"sea slug, nudibranch","116":"chiton, coat-of-mail shell, sea cradle, polyplacophore","117":"chambered nautilus, pearly nautilus, nautilus","118":"Dungeness crab, Cancer magister","119":"rock crab, Cancer irroratus","120":"fiddler crab","121":"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica","122":"American lobster, Northern lobster, Maine lobster, Homarus americanus","123":"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish","124":"crayfish, crawfish, crawdad, crawdaddy","125":"hermit crab","126":"isopod","127":"white stork, Ciconia ciconia","128":"black stork, Ciconia nigra","129":"spoonbill","130":"flamingo","131":"little blue heron, Egretta caerulea","132":"American egret, great white heron, Egretta albus","133":"bittern","134":"crane","135":"limpkin, Aramus pictus","136":"European gallinule, Porphyrio porphyrio","137":"American coot, marsh hen, mud hen, water hen, Fulica americana","138":"bustard","139":"ruddy turnstone, Arenaria interpres","140":"red-backed sandpiper, dunlin, Erolia alpina","141":"redshank, Tringa totanus","142":"dowitcher","143":"oystercatcher, oyster catcher","144":"pelican","145":"king penguin, Aptenodytes patagonica","146":"albatross, mollymawk","147":"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus","148":"killer whale, killer, orca, grampus, sea wolf, Orcinus orca","149":"dugong, Dugong dugon","150":"sea lion","151":"Chihuahua","152":"Japanese spaniel","153":"Maltese dog, Maltese terrier, Maltese","154":"Pekinese, Pekingese, Peke","155":"Shih-Tzu","156":"Blenheim spaniel","157":"papillon","158":"toy terrier","159":"Rhodesian ridgeback","160":"Afghan hound, Afghan","161":"basset, basset hound","162":"beagle","163":"bloodhound, sleuthhound","164":"bluetick","165":"black-and-tan coonhound","166":"Walker hound, Walker foxhound","167":"English foxhound","168":"redbone","169":"borzoi, Russian wolfhound","170":"Irish wolfhound","171":"Italian greyhound","172":"whippet","173":"Ibizan hound, Ibizan Podenco","174":"Norwegian elkhound, elkhound","175":"otterhound, otter hound","176":"Saluki, gazelle hound","177":"Scottish deerhound, deerhound","178":"Weimaraner","179":"Staffordshire bullterrier, Staffordshire bull terrier","180":"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier","181":"Bedlington terrier","182":"Border terrier","183":"Kerry blue terrier","184":"Irish terrier","185":"Norfolk terrier","186":"Norwich terrier","187":"Yorkshire terrier","188":"wire-haired fox terrier","189":"Lakeland terrier","190":"Sealyham terrier, Sealyham","191":"Airedale, Airedale terrier","192":"cairn, cairn terrier","193":"Australian terrier","194":"Dandie Dinmont, Dandie Dinmont terrier","195":"Boston bull, Boston terrier","196":"miniature schnauzer","197":"giant schnauzer","198":"standard schnauzer","199":"Scotch terrier, Scottish terrier, Scottie","200":"Tibetan terrier, chrysanthemum dog","201":"silky terrier, Sydney silky","202":"soft-coated wheaten terrier","203":"West Highland white terrier","204":"Lhasa, Lhasa apso","205":"flat-coated retriever","206":"curly-coated retriever","207":"golden retriever","208":"Labrador retriever","209":"Chesapeake Bay retriever","210":"German short-haired pointer","211":"vizsla, Hungarian pointer","212":"English setter","213":"Irish setter, red setter","214":"Gordon setter","215":"Brittany spaniel","216":"clumber, clumber spaniel","217":"English springer, English springer spaniel","218":"Welsh springer spaniel","219":"cocker spaniel, English cocker spaniel, cocker","220":"Sussex spaniel","221":"Irish water spaniel","222":"kuvasz","223":"schipperke","224":"groenendael","225":"malinois","226":"briard","227":"kelpie","228":"komondor","229":"Old English sheepdog, bobtail","230":"Shetland sheepdog, Shetland sheep dog, Shetland","231":"collie","232":"Border collie","233":"Bouvier des Flandres, Bouviers des Flandres","234":"Rottweiler","235":"German shepherd, German shepherd dog, German police dog, alsatian","236":"Doberman, Doberman pinscher","237":"miniature pinscher","238":"Greater Swiss Mountain dog","239":"Bernese mountain dog","240":"Appenzeller","241":"EntleBucher","242":"boxer","243":"bull mastiff","244":"Tibetan mastiff","245":"French bulldog","246":"Great Dane","247":"Saint Bernard, St Bernard","248":"Eskimo dog, husky","249":"malamute, malemute, Alaskan malamute","250":"Siberian husky","251":"dalmatian, coach dog, carriage dog","252":"affenpinscher, monkey pinscher, monkey dog","253":"basenji","254":"pug, pug-dog","255":"Leonberg","256":"Newfoundland, Newfoundland dog","257":"Great Pyrenees","258":"Samoyed, Samoyede","259":"Pomeranian","260":"chow, chow chow","261":"keeshond","262":"Brabancon griffon","263":"Pembroke, Pembroke Welsh corgi","264":"Cardigan, Cardigan Welsh corgi","265":"toy poodle","266":"miniature poodle","267":"standard 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 jacket, dust wrapper","922":"menu","923":"plate","924":"guacamole","925":"consomme","926":"hot pot, hotpot","927":"trifle","928":"ice cream, icecream","929":"ice lolly, lolly, lollipop, popsicle","930":"French loaf","931":"bagel, beigel","932":"pretzel","933":"cheeseburger","934":"hotdog, hot dog, red hot","935":"mashed potato","936":"head cabbage","937":"broccoli","938":"cauliflower","939":"zucchini, courgette","940":"spaghetti squash","941":"acorn squash","942":"butternut squash","943":"cucumber, cuke","944":"artichoke, globe artichoke","945":"bell pepper","946":"cardoon","947":"mushroom","948":"Granny Smith","949":"strawberry","950":"orange","951":"lemon","952":"fig","953":"pineapple, ananas","954":"banana","955":"jackfruit, jak, jack","956":"custard apple","957":"pomegranate","958":"hay","959":"carbonara","960":"chocolate sauce, chocolate syrup","961":"dough","962":"meat loaf, meatloaf","963":"pizza, pizza pie","964":"potpie","965":"burrito","966":"red wine","967":"espresso","968":"cup","969":"eggnog","970":"alp","971":"bubble","972":"cliff, drop, drop-off","973":"coral reef","974":"geyser","975":"lakeside, lakeshore","976":"promontory, headland, head, foreland","977":"sandbar, sand bar","978":"seashore, coast, seacoast, sea-coast","979":"valley, vale","980":"volcano","981":"ballplayer, baseball player","982":"groom, bridegroom","983":"scuba diver","984":"rapeseed","985":"daisy","986":"yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum","987":"corn","988":"acorn","989":"hip, rose hip, rosehip","990":"buckeye, horse chestnut, conker","991":"coral fungus","992":"agaric","993":"gyromitra","994":"stinkhorn, carrion fungus","995":"earthstar","996":"hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa","997":"bolete","998":"ear, spike, capitulum","999":"toilet tissue, toilet paper, bathroom tissue"}}}}]


