# datasets

hub_id: danielz01/BigEarthNet-S2-v1.0
license: []
language: []
config_name: s2-rgb
column_names: ["img","labels","coordinates","projection","tile_source","acquisition_date"]
features:
[{"name":"img","dtype":"image"},{"name":"labels","sequence":"string"},{"name":"coordinates","struct":[{"name":"lrx","dtype":"int64"},{"name":"lry","dtype":"int64"},{"name":"ulx","dtype":"int64"},{"name":"uly","dtype":"int64"}]},{"name":"projection","dtype":"string"},{"name":"tile_source","dtype":"string"},{"name":"acquisition_date","dtype":"string"}]


hub_id: JLB-JLB/seizure_detection_224x224_raw_frequency
license: []
language: []
config_name: default
column_names: ["image","epoch_index","label"]
features:
[{"name":"image","dtype":"image"},{"name":"epoch_index","dtype":"int32"},{"name":"label","dtype":{"class_label":{"names":{"0":"bckg","1":"seiz"}}}}]


hub_id: danielz01/DIOR-RSVG
license: []
language: []
config_name: default
column_names: ["image","path","objects"]
features:
[{"name":"image","dtype":"image"},{"name":"path","dtype":"string"},{"name":"objects","struct":[{"name":"bbox","sequence":{"sequence":"int32"}},{"name":"captions","sequence":"string"},{"name":"categories","sequence":"string"},{"name":"categories_normalized","sequence":"string"}]}]


hub_id: spachava/openwebtext
license: ["mit"]
language: []
config_name: gpt2-tokenized
column_names: ["input_ids","attention_mask"]
features: [{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"}]
tags:
["license:mit","size_categories:10M<n<100M","parquet","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: BEE-spoke-data/govdocs1-txt-raw
license: ["odc-by"]
language: []
config_name: default
column_names: ["section","filename","text"]
tags:
["task_categories:text-generation","license:odc-by","size_categories:10K<n<100K","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"section","dtype":"string"},{"name":"filename","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: cpalang/Methods2Test_CompleteContext
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["FocalMethod","TestCase","input_ids","attention_mask","labels"]
features:
[{"name":"FocalMethod","dtype":"string"},{"name":"TestCase","dtype":"string"},{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"},{"name":"labels","sequence":"int64"}]


hub_id: kpriyanshu256/semeval-task-8-a-mono-v2-mistral-7b
license: []
language: []
config_name: default
column_names:
["text","label","model","source","id","mistral-7b_estimated_loss","mistral-7b_mean_lowest25","mistral-7b_mean_highest25","mistral-7b_max","mistral-7b_min","mistral-7b_range","mistral-7b_mean","mistral-7b_std","mistral-7b_entropy","mistral-7b_kurtosis","mistral-7b_skewness","mistral-7b_perplexity"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"model","dtype":"string"},{"name":"source","dtype":"string"},{"name":"id","dtype":"int64"},{"name":"mistral-7b_estimated_loss","dtype":"float64"},{"name":"mistral-7b_mean_lowest25","dtype":"float64"},{"name":"mistral-7b_mean_highest25","dtype":"float64"},{"name":"mistral-7b_max","dtype":"float64"},{"name":"mistral-7b_min","dtype":"float64"},{"name":"mistral-7b_range","dtype":"float64"},{"name":"mistral-7b_mean","dtype":"float64"},{"name":"mistral-7b_std","dtype":"float64"},{"name":"mistral-7b_entropy","dtype":"float64"},{"name":"mistral-7b_kurtosis","dtype":"float64"},{"name":"mistral-7b_skewness","dtype":"float64"},{"name":"mistral-7b_perplexity","dtype":"float64"}]


hub_id: bh8648/esg1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Major Category","Middle Categoty","Small Category","output"]
features:
[{"name":"Major Category","dtype":"string"},{"name":"Middle Categoty","dtype":"string"},{"name":"Small Category","dtype":"string"},{"name":"output","dtype":"string"}]


hub_id: sivan22/sefaria-hebrew
license: []
language: []
config_name: default
column_names:
["language","title","versionSource","versionTitle","status","license","versionTitleInHebrew","actualLanguage","isBaseText","level_1_index","level_2_index","level_3_index","level_4_index","level_5_index","text","versionNotes","versionNotesInHebrew","method","digitizedBySefaria","heversionSource","priority","shortVersionTitle","purchaseInformationImage","purchaseInformationURL"]

features:
[{"name":"language","dtype":"string"},{"name":"title","dtype":"string"},{"name":"versionSource","dtype":"string"},{"name":"versionTitle","dtype":"string"},{"name":"status","dtype":"string"},{"name":"license","dtype":"string"},{"name":"versionTitleInHebrew","dtype":"string"},{"name":"actualLanguage","dtype":"string"},{"name":"isBaseText","dtype":"bool"},{"name":"level_1_index","dtype":"float64"},{"name":"level_2_index","dtype":"float64"},{"name":"level_3_index","dtype":"float64"},{"name":"level_4_index","dtype":"float64"},{"name":"level_5_index","dtype":"float64"},{"name":"text","dtype":"string"},{"name":"versionNotes","dtype":"string"},{"name":"versionNotesInHebrew","dtype":"string"},{"name":"method","dtype":"string"},{"name":"digitizedBySefaria","dtype":"float64"},{"name":"heversionSource","dtype":"string"},{"name":"priority","dtype":"float64"},{"name":"shortVersionTitle","dtype":"string"},{"name":"purchaseInformationImage","dtype":"string"},{"name":"purchaseInformationURL","dtype":"string"}]


hub_id: Data-Lab/classification_dialogue_search_v0.1
license: []
language: []
config_name: default
column_names: ["query","gold","__index_level_0__"]
features:
[{"name":"query","dtype":"string"},{"name":"gold","dtype":"int64"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: presencesw/complexquestion_2WIKIMQA_10_Mistral
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["entities","triplets","answer","complex_question","system_prompt","user_prompt","llm_output"]
features:
[{"name":"entities","sequence":"null"},{"name":"triplets","sequence":"null"},{"name":"answer","dtype":"string"},{"name":"complex_question","dtype":"string"},{"name":"system_prompt","dtype":"string"},{"name":"user_prompt","dtype":"string"},{"name":"llm_output","dtype":"string"}]


hub_id: MichaelJH/Ryu-AI.datadict
license: []
language: []
config_name: default
column_names: ["text","input_ids","token_type_ids","attention_mask"]
features:
[{"name":"text","sequence":"string"},{"name":"input_ids","sequence":"int32"},{"name":"token_type_ids","sequence":"int8"},{"name":"attention_mask","sequence":"int8"}]


hub_id: avgalaida/faq_gu_covid_vac
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","context","question","answer"]
features:
[{"name":"id","dtype":"int64"},{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","struct":[{"name":"answer_start","dtype":"int64"},{"name":"text","dtype":"string"}]}]


hub_id: PrevenIA/gold_standard_preguntas_suicidio_dataset
license: ["cc-by-3.0"]
language: ["es"]
config_name: default
column_names: ["Referencia","Pregunta","Respuesta"]
tags:
["task_categories:question-answering","language:es","license:cc-by-3.0","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","suicidio","croissant"]

features:
[{"name":"Referencia","dtype":"string"},{"name":"Pregunta","dtype":"string"},{"name":"Respuesta","dtype":"string"}]


hub_id: danielz01/aerial-animal-population-4tu
license: []
language: []
config_name: default
column_names: ["image","objects","path"]
features:
[{"name":"image","dtype":"image"},{"name":"objects","struct":[{"name":"bbox","sequence":{"sequence":"int64"}},{"name":"categories","sequence":"string"}]},{"name":"path","dtype":"string"}]


hub_id: renumics/f1_dataset
license: []
language: []
config_name: default
column_names:
["Time","Driver","DriverNumber","LapTime","LapNumber","Stint","PitOutTime","PitInTime","Sector1Time","Sector2Time","Sector3Time","Sector1SessionTime","Sector2SessionTime","Sector3SessionTime","SpeedI1","SpeedI2","SpeedFL","SpeedST","IsPersonalBest","Compound","TyreLife","FreshTyre","Team","LapStartTime","LapStartDate","TrackStatus","Position","Deleted","DeletedReason","FastF1Generated","IsAccurate","DistanceToDriverAhead","RPM","Speed","nGear","Throttle","Brake","DRS","X","Y","Z","gear_vis","speed_vis","RPM_emb","Speed_emb","nGear_emb","Throttle_emb","Brake_emb","X_emb","Y_emb","Z_emb","portrait"]

features:
[{"name":"Time","dtype":"duration[ns]"},{"name":"Driver","dtype":"string"},{"name":"DriverNumber","dtype":"string"},{"name":"LapTime","dtype":"duration[ns]"},{"name":"LapNumber","dtype":"float64"},{"name":"Stint","dtype":"float64"},{"name":"PitOutTime","dtype":"duration[ns]"},{"name":"PitInTime","dtype":"duration[ns]"},{"name":"Sector1Time","dtype":"duration[ns]"},{"name":"Sector2Time","dtype":"duration[ns]"},{"name":"Sector3Time","dtype":"duration[ns]"},{"name":"Sector1SessionTime","dtype":"duration[ns]"},{"name":"Sector2SessionTime","dtype":"duration[ns]"},{"name":"Sector3SessionTime","dtype":"duration[ns]"},{"name":"SpeedI1","dtype":"float64"},{"name":"SpeedI2","dtype":"float64"},{"name":"SpeedFL","dtype":"float64"},{"name":"SpeedST","dtype":"float64"},{"name":"IsPersonalBest","dtype":"bool"},{"name":"Compound","dtype":"string"},{"name":"TyreLife","dtype":"float64"},{"name":"FreshTyre","dtype":"bool"},{"name":"Team","dtype":"string"},{"name":"LapStartTime","dtype":"duration[ns]"},{"name":"LapStartDate","dtype":"timestamp[ns]"},{"name":"TrackStatus","dtype":"string"},{"name":"Position","dtype":"float64"},{"name":"Deleted","dtype":"bool"},{"name":"DeletedReason","dtype":"string"},{"name":"FastF1Generated","dtype":"bool"},{"name":"IsAccurate","dtype":"bool"},{"name":"DistanceToDriverAhead","sequence":{"sequence":"float64"}},{"name":"RPM","sequence":{"sequence":"float64"}},{"name":"Speed","sequence":{"sequence":"float64"}},{"name":"nGear","sequence":{"sequence":"float64"}},{"name":"Throttle","sequence":{"sequence":"float64"}},{"name":"Brake","sequence":{"sequence":"float64"}},{"name":"DRS","sequence":{"sequence":"float64"}},{"name":"X","sequence":{"sequence":"float64"}},{"name":"Y","sequence":{"sequence":"float64"}},{"name":"Z","sequence":{"sequence":"float64"}},{"name":"gear_vis","dtype":"image"},{"name":"speed_vis","dtype":"image"},{"name":"RPM_emb","sequence":"float64"},{"name":"Speed_emb","sequence":"float64"},{"name":"nGear_emb","sequence":"float64"},{"name":"Throttle_emb","sequence":"float64"},{"name":"Brake_emb","sequence":"float64"},{"name":"X_emb","sequence":"float64"},{"name":"Y_emb","sequence":"float64"},{"name":"Z_emb","sequence":"float64"},{"name":"portrait","dtype":"image"}]


hub_id: Eitanli/wine_type
license: []
language: []
config_name: default
column_names: ["id","recipe","wine_type"]
features:
[{"name":"id","dtype":"int64"},{"name":"recipe","dtype":"string"},{"name":"wine_type","dtype":"string"}]


hub_id: ali444/MIS
license: []
language: []
config_name: default
column_names:
["passing_semester","college_name","prog_name","cms_no","reg_no","name","guardian_name","Intake_semester","earned_cr_hrs","inter_max_12","inter_obt_12","inter_max_11","inter_obt_11"]

features:
[{"name":"passing_semester","dtype":"string"},{"name":"college_name","dtype":"string"},{"name":"prog_name","dtype":"string"},{"name":"cms_no","dtype":"int64"},{"name":"reg_no","dtype":"string"},{"name":"name","dtype":"string"},{"name":"guardian_name","dtype":"string"},{"name":"Intake_semester","dtype":"string"},{"name":"earned_cr_hrs","dtype":"float64"},{"name":"inter_max_12","dtype":"float64"},{"name":"inter_obt_12","dtype":"float64"},{"name":"inter_max_11","dtype":"float64"},{"name":"inter_obt_11","dtype":"float64"}]


hub_id: truong-xuan-linh/zola
license: []
language: []
config_name: default
column_names: ["bannerImage","en_caption","concat_caption"]
features:
[{"name":"bannerImage","dtype":"image"},{"name":"en_caption","dtype":"string"},{"name":"concat_caption","dtype":"string"}]


hub_id: joseluhf11/oct-object-detection
license: []
language: []
config_name: default
column_names: ["image","objects"]
features:
[{"name":"image","dtype":"image"},{"name":"objects","struct":[{"name":"bbox","sequence":{"sequence":"int64"}},{"name":"categories","sequence":"string"}]}]


hub_id: lumilogic/climateBUG-Data
license: ["cc-by-nc-nd-4.0"]
language: ["en"]
config_name: default
column_names: ["statement","year","label","manual"]
tags:
["task_categories:text-classification","language:en","license:cc-by-nc-nd-4.0","size_categories:1M<n<10M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","climate","finance","banking","EU","croissant"]

features:
[{"name":"statement","dtype":"string"},{"name":"year","dtype":"int64"},{"name":"label","dtype":{"class_label":{"names":{"0":"non-climate","1":"climate"}}}},{"name":"manual","dtype":"bool"}]


hub_id: sreejith8100/death_marriage_data
tags: ["size_categories:n<1K","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"death","1":"marriage"}}}}]


hub_id: sreejith8100/death_marriage_data2
license: []
language: []
config_name: default
column_names: ["image","label","ground_truth"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"death","1":"marriage"}}}},{"name":"ground_truth","dtype":"string"}]


hub_id: davebulaval/CSMD
license: ["cc-by-4.0"]
language: ["en"]
config_name: meaning_holdout_unrelated
column_names: ["original","simplification","label"]
tags:
["task_categories:text-classification","task_categories:text2text-generation","multilinguality:monolingual","multilinguality:aligned","source_datasets:original","source_datasets:extended|other-turkcorpus,other-asset,other-questeval,other-simplicity_da,other-simp_da","language:en","license:cc-by-4.0","size_categories:1M<n<10M","csv","text","datasets","pandas","mlcroissant","arxiv:2104.07560","region:us","simplification-evaluation","meaning-evaluation","croissant"]

features:
[{"name":"original","dtype":"string"},{"name":"simplification","dtype":"string"},{"name":"label","dtype":"float64"}]


hub_id: nlplabtdtu/Extract-QA-question-answer-with-context
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["id","title","context","question","response","answers","instruction","prompt_name","metadata"]
features:
[{"name":"id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"response","struct":[{"name":"response","dtype":"string"}]},{"name":"answers","struct":[{"name":"answer_start","sequence":"int64"},{"name":"text","sequence":"string"}]},{"name":"instruction","dtype":"string"},{"name":"prompt_name","dtype":"string"},{"name":"metadata","struct":[{"name":"max_ratio","dtype":"float64"},{"name":"paragraph_similar","dtype":"string"},{"name":"start_index","dtype":"int64"}]}]


hub_id: facebook/emu_edit_test_set
license: []
language: []
config_name: default
column_names: ["instruction","image","task","split","idx","hash","input_caption","output_caption"]
features:
[{"name":"instruction","dtype":"string"},{"name":"image","dtype":"image"},{"name":"task","dtype":"string"},{"name":"split","dtype":"string"},{"name":"idx","dtype":"int64"},{"name":"hash","dtype":"string"},{"name":"input_caption","dtype":"string"},{"name":"output_caption","dtype":"string"}]


hub_id: facebook/emu_edit_test_set_generations
license: []
language: []
config_name: default
column_names:
["instruction","image","task","split","idx","hash","input_caption","output_caption","edited_image","model"]

features:
[{"name":"instruction","dtype":"string"},{"name":"image","dtype":"image"},{"name":"task","dtype":"string"},{"name":"split","dtype":"string"},{"name":"idx","dtype":"int64"},{"name":"hash","dtype":"string"},{"name":"input_caption","dtype":"string"},{"name":"output_caption","dtype":"string"},{"name":"edited_image","dtype":"image"},{"name":"model","dtype":"string"}]


hub_id: matheusrdgsf/re_dial_ptbr
license: ["mit"]
language: ["pt","en"]
config_name: default
tags:
["task_categories:text-classification","task_categories:text2text-generation","task_categories:translation","language:pt","language:en","license:mit","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","conversational recommendation","recommendation","conversational","croissant"]

column_names:
["conversationId","messages","messages_translated","movieMentions","respondentQuestions","respondentWorkerId","initiatorWorkerId","initiatorQuestions"]

features:
[{"name":"conversationId","dtype":"int32"},{"name":"messages","list":[{"name":"messageId","dtype":"int64"},{"name":"senderWorkerId","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"timeOffset","dtype":"int64"}]},{"name":"messages_translated","list":[{"name":"messageId","dtype":"int64"},{"name":"senderWorkerId","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"timeOffset","dtype":"int64"}]},{"name":"movieMentions","list":[{"name":"movieId","dtype":"string"},{"name":"movieName","dtype":"string"}]},{"name":"respondentQuestions","list":[{"name":"liked","dtype":"int64"},{"name":"movieId","dtype":"string"},{"name":"seen","dtype":"int64"},{"name":"suggested","dtype":"int64"}]},{"name":"respondentWorkerId","dtype":"int32"},{"name":"initiatorWorkerId","dtype":"int32"},{"name":"initiatorQuestions","list":[{"name":"liked","dtype":"int64"},{"name":"movieId","dtype":"string"},{"name":"seen","dtype":"int64"},{"name":"suggested","dtype":"int64"}]}]


hub_id: CATIE-AQ/frenchNER_3entities
license: ["cc-by-4.0"]
language: ["fr"]
config_name: default
column_names: ["tokens","ner_tags","dataset"]
tags:
["task_categories:token-classification","language:fr","license:cc-by-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":"int64"},{"name":"dataset","dtype":"string"}]


hub_id: tonyassi/fashion-decade-images-1
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"1910s","1":"1920s","2":"1930s","3":"1940s","4":"1950s","5":"1960s","6":"1970s","7":"1980s","8":"1990s","9":"2000s"}}}}]


hub_id: allenai/tulu-v2-sft-mixture
license: ["odc-by"]
language: ["en"]
config_name: default
column_names: ["dataset","id","messages"]
tags:
["task_categories:question-answering","task_categories:text-generation","language:en","license:odc-by","size_categories:100M<n<1B","parquet","text","datasets","dask","mlcroissant","arxiv:2305.18290","region:us","croissant"]


hub_id: keirp/hungarian_national_hs_finals_exam
license: []
language: []
config_name: default
column_names: ["Question"]
features: [{"name":"Question","dtype":"string"}]
tags:
["size_categories:n<1K","csv","image","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: marcelittle/ddr_controlnet
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"conditioning_images","1":"images"}}}}]


hub_id: TuanBC/D50_val_datasets
license: []
language: []
config_name: default
column_names: ["key","audio_path","text_path","text","input_features","labels"]
features:
[{"name":"key","dtype":"string"},{"name":"audio_path","dtype":"string"},{"name":"text_path","dtype":"string"},{"name":"text","dtype":"string"},{"name":"input_features","sequence":{"sequence":"float32"}},{"name":"labels","sequence":"int64"}]


hub_id: looppayments/tables_qa_token_classification_dataset
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["pixel_values","input_ids","attention_mask","tokens","question","bbox","labels","artifact_qid"]
features:
[{"name":"pixel_values","dtype":{"array3_d":{"shape":[3,224,224],"dtype":"float32"}}},{"name":"input_ids","sequence":"int64"},{"name":"attention_mask","sequence":"int64"},{"name":"tokens","sequence":"string"},{"name":"question","dtype":"string"},{"name":"bbox","dtype":{"array2_d":{"shape":[512,4],"dtype":"int64"}}},{"name":"labels","sequence":"int64"},{"name":"artifact_qid","dtype":"string"}]


hub_id: umarbutler/open-australian-legal-embeddings
license: ["other"]
language: ["en"]
config_name: train
column_names: ["version_id","type","jurisdiction","source","citation","url","is_last_chunk","text","embedding"]
tags:
["task_categories:text-retrieval","task_ids:document-retrieval","annotations_creators:no-annotation","language_creators:found","source_datasets:umarbutler/open-australian-legal-corpus","language:en","license:other","size_categories:1M<n<10M","doi:10.57967/hf/1347","region:us","law","legal","australia","embeddings"]

features:
[{"name":"version_id","dtype":"string"},{"name":"type","dtype":"string"},{"name":"jurisdiction","dtype":"string"},{"name":"source","dtype":"string"},{"name":"citation","dtype":"string"},{"name":"url","dtype":"string"},{"name":"is_last_chunk","dtype":"bool"},{"name":"text","dtype":"string"},{"name":"embedding","list":"float32"}]


hub_id: mia-project/child_handpicked_sentences
license: ["unknown"]
language: []
config_name: default
tags:
["license:unknown","size_categories:n<1K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["audio_quality","age","sentence_transcription","audio","sentence_number","language_collection","kid_name","url_origin"]

features:
[{"name":"audio_quality","dtype":"string"},{"name":"age","dtype":"int64"},{"name":"sentence_transcription","dtype":"string"},{"name":"audio","dtype":"audio"},{"name":"sentence_number","dtype":"string"},{"name":"language_collection","dtype":"string"},{"name":"kid_name","dtype":"string"},{"name":"url_origin","dtype":"string"}]


hub_id: CHEONINJEONG/Korea_address
license: []
language: ["ko"]
config_name: default
column_names: ["audio","transcripts"]
tags:
["task_categories:feature-extraction","language:ko","size_categories:n<1K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","croissant"]

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


hub_id: Rewcifer/best_outputs_model1_v_model2
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["true_findings","generated_texts_1","generated_texts_2"]
features:
[{"name":"true_findings","dtype":"string"},{"name":"generated_texts_1","dtype":"string"},{"name":"generated_texts_2","dtype":"string"}]


hub_id: allenai/tulu-v1-sft-mixture
license: ["odc-by"]
language: ["en"]
config_name: default
column_names: ["dataset","id","messages"]
tags:
["task_categories:question-answering","task_categories:text-generation","language:en","license:odc-by","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","arxiv:2306.04751","region:us","croissant"]


hub_id: sreejith8100/test
license: []
language: []
config_name: default
column_names: ["image","label","ground_truth"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"marriage","1":"other"}}}},{"name":"ground_truth","dtype":"string"}]


hub_id: ducha07/audio_HTV_thoisu
license: []
language: []
config_name: default
column_names: ["audio","start_time","end_time","transcription"]
features:
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hub_id: makedelta/kospi100_news
license: []
language: []
config_name: default
column_names: ["company","company_code","url","date","title","text","sentiment(label)","sentiment(score)"]
features:
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hub_id: chiyuanhsiao/ML2021_HungyiLee_Corpus
license: []
language: []
config_name: default
column_names: ["file","audio","transcription"]
features:
[{"name":"file","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"transcription","dtype":"string"}]


hub_id: makedelta/extraction_instructions
license: []
language: []
config_name: default
column_names: ["question","response","type","__index_level_0__"]
features:
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hub_id: makedelta/event_entity_sentiment_benchmark
license: []
language: []
config_name: default
column_names: ["company","url","date","text","gold_event","sentiment(label)"]
features:
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hub_id: chitradrishti/reddit
license: []
language: []
config_name: default
column_names: ["image","index","os_type","wallpaper_dir","title","url","subreddit","path"]
features:
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hub_id: DynamicSuperb/EnvironmentalSoundClassification_UrbanSound8K-UrbanNoises
license: ["cc-by-3.0"]
language: []
config_name: default
column_names: ["file","audio","instruction","label"]
tags:
["license:cc-by-3.0","size_categories:1K<n<10K","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: oubabuliao/my-image-captioning-dataset
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
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hub_id: sreejith8100/sumair_dataset
license: []
language: []
config_name: default
column_names: ["image","label","ground_truth"]
features:
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hub_id: Aoschu/German_invoices_dataset
license: []
language: []
config_name: default
column_names: ["image","label","bbox","transcription","annotator","annotation_id"]
features:
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hub_id: braindao/Enhanced-Slither-Audited-Solidity-QA
license: []
language: []
config_name: default
column_names: ["results","source_code","question","answer","__index_level_0__"]
features:
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hub_id: alvarobartt/zephyr-7b-beta-judgelm-new-small
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["input","generation_model","generation_prompt","raw_generation_responses","generations","labelling_model","labelling_prompt","raw_labelling_response","ratings","rationale"]

features:
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hub_id: Changlong1/repo_id
license: []
language: []
config_name: default
column_names: ["conversation","input","output"]
features:
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hub_id: argilla/ultrafeedback_binarized_full
license: []
language: []
config_name: default
column_names:
["source","instruction","best_response","best_model","best_score","random_response","random_model","random_score","correct_answers","incorrect_answers"]

features:
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hub_id: alvarobartt/zephyr-7b-beta-judgelm-new-test
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["source","input","models","completions","correct_answers","incorrect_answers","generation_model","generation_prompt","raw_generation_responses","generations","labelling_model","labelling_prompt","raw_labelling_response","ratings","rationale"]

features:
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hub_id: wyluilipe/ru-paraphrases
license: []
language: []
config_name: default
column_names: ["original","paraphrase","__index_level_0__"]
features:
[{"name":"original","dtype":"string"},{"name":"paraphrase","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: rishiraj/no_robots
license: []
language: []
config_name: default
column_names: ["prompt","prompt_id","messages","category","text"]
features:
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hub_id: rishiraj/ultrachat_200k
license: []
language: []
config_name: default
column_names: ["prompt","prompt_id","messages","text"]
features:
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hub_id: bh8648/esg1to3
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Major Category","Middle Category","Small Category","output"]
features:
[{"name":"Major Category","dtype":"string"},{"name":"Middle Category","dtype":"string"},{"name":"Small Category","dtype":"string"},{"name":"output","dtype":"string"}]


hub_id: sanchit-gandhi/librispeech_asr_dummy_pseudo_labelled
license: []
language: []
config_name: clean
column_names: ["file","audio","text","speaker_id","chapter_id","id","whisper_transcript"]
features:
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hub_id: scherrmann/adhoc_quad
license: []
language: []
config_name: default
column_names: ["id","context","question","answers"]
tags:
["size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:2311.08793","region:us","croissant"]


hub_id: clinicalnlplab/HoC_test
license: []
language: []
config_name: default
column_names: ["id","query","answer","choices","gold"]
features:
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hub_id: chemNLP/chemistry-bookshelves-merged
license: []
language: []
config_name: default
column_names: ["title","url","text","__index_level_0__"]
features:
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hub_id: shredder-31/NeuraLearnAcademy
license: ["mit"]
language: []
config_name: default
column_names: ["input","output","input_ids","attention_mask"]
features:
[{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"}]


hub_id: argilla/ultrafeedback-binarized-curation
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: FlyingFishzzz/destination_test
license: []
language: []
config_name: default
column_names: ["target","prompt","landmarks","condition"]
features:
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hub_id: Sinall/oshimsgs
license: ["other"]
language: []
config_name: default
column_names: ["message"]
features: [{"name":"message","dtype":"string"}]
tags:
["license:other","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: dbaezaj/lince_ner_dataset
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["id","words","lid","labels"]
features:
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hub_id: slava-medvedev/zelensky-speeches
license: ["cc-by-4.0"]
language: ["uk","en"]
config_name: default
column_names: ["date","link","topic","full_text","lang"]
tags:
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features:
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hub_id: incivility-UOH/TwitCivility
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["text","impoliteness","intolerance"]
tags:
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features:
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hub_id: lhallee/HumanPPI_fold
license: []
language: []
config_name: default
column_names: ["labels","SeqA","SeqB"]
features:
[{"name":"labels","dtype":"int64"},{"name":"SeqA","dtype":"string"},{"name":"SeqB","dtype":"string"}]


hub_id: ekolasky/NQLongAnswersForCustomLEDForQA
tags: ["size_categories:10K<n<100K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input_ids","start_positions","end_positions","global_attention_mask","attention_mask"]
features:
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hub_id: 5cp/tmp_imdb_ft
license: []
language: []
config_name: default
column_names: ["text","label","input_ids","attention_mask","labels"]
features:
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hub_id: Supersaiyan1729/instruct_dataset_mcq
license: []
language: []
config_name: default
column_names: ["input_prompt","input_output_prompt","dataset"]
features:
[{"name":"input_prompt","dtype":"string"},{"name":"input_output_prompt","dtype":"string"},{"name":"dataset","dtype":"string"}]


hub_id: BEE-spoke-data/medium-articles-en
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["title","text","url","authors","timestamp","tags","token_count"]
tags:
["task_categories:text-classification","task_categories:text-generation","source_datasets:fabiochiu/medium-articles","language:en","license:mit","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
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hub_id: VitaliiVrublevskyi/mrpc_llama_2
license: []
language: []
config_name: default
column_names: ["label","sentence1","sentence2","category"]
features:
[{"name":"label","dtype":"int64"},{"name":"sentence1","dtype":"string"},{"name":"sentence2","dtype":"string"},{"name":"category","dtype":"string"}]


hub_id: BhargaviAcharya/Text-summ-llama2
license: []
language: []
config_name: default
column_names:
["article","highlights","id","clean_summary","summary_summacConv_scores","highlight_summacConv_scores","text"]

features:
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hub_id: aciborowska/customers-complaints
license: []
language: []
config_name: default
column_names:
["Date_received","Product","Sub_product","Issue","Sub_issue","Consumer_complaint_narrative","Company_public_response","Company","State","ZIP_code","Tags","Consumer_consent_provided?","Submitted_via","Date_sent_to_company","Company response to consumer","Timely_response?","Consumer_disputed?","Complaint_ID"]

features:
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hub_id: gh1407/inference_pairs_clustered
license: []
language: []
config_name: default
column_names: ["original_string","cause_split","effect_split","cause_summarized","effect_summarized"]
features:
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hub_id: allenai/UNcommonsense
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["human_explanations","outcome","context","source","gpt4_explanations","enhanced_explanations"]
tags:
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features:
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hub_id: banw/github-issues
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: jlbaker361/multiplication_whole
license: []
language: []
config_name: default
column_names: ["input","output","text"]
features:
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hub_id: vlsp-2023-vllm/wikipediaqa_vi
license: []
language: []
config_name: default
column_names: ["question","choices","answerKey","metadata"]
features:
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hub_id: bjoernp/ultrachat_de
license: ["mit"]
language: ["de"]
config_name: default
column_names: ["prompt_id","prompt","conversations","len_en","len_de","system_prompt","response"]
tags:
["language:de","license:mit","size_categories:n<1K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
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hub_id: Rewcifer/best_outputs_3models
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["true_findings","generated_texts_1","generated_texts_2","generated_texts_3"]
features:
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hub_id: Rewcifer/outputs_3models_300
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["labels","true_findings","generated_texts_1","row_number","generated_texts_2","generated_texts_3"]
features:
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hub_id: nateraw/rap-lyrics-v2
license: []
language: []
config_name: default
column_names: ["text","num_tokens","completion"]
features:
[{"name":"text","dtype":"string"},{"name":"num_tokens","dtype":"int64"},{"name":"completion","dtype":"string"}]


hub_id: dmacres/mimiciii-hospitalcourse-meta
license: []
language: []
config_name: default
column_names: ["subject_id","hadm_id","target_text","extractive_notes_summ","n_notes","notes"]
features:
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hub_id: Percent-BFD/nips_data_v7
license: []
language: []
config_name: default
column_names: ["instruction","input","data_source","output"]
features:
[{"name":"instruction","dtype":"string"},{"name":"input","dtype":"string"},{"name":"data_source","dtype":"string"},{"name":"output","dtype":"string"}]


hub_id: lmg-anon/VNTL
license: ["apache-2.0"]
language: ["en","ja"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["task_categories:translation","language:en","language:ja","license:apache-2.0","size_categories:n<1K","datasets","pandas","mlcroissant","region:us","not-for-all-audiences","croissant"]


hub_id: Liberty-L/preprocessed_race_for_multiple_choice
license: []
language: []
config_name: default
column_names:
["data_index_by_user","article","answer","question","options","input_ids","token_type_ids","attention_mask","label"]

features:
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hub_id: surabhiMV/qrcode
license: []
language: []
config_name: default
column_names: ["image","label","bbox"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":"image"},{"name":"bbox","sequence":{"sequence":"float64"}}]


hub_id: sreejith8100/sumair_classification
license: []
language: []
config_name: default
column_names: ["image","label","ground_truth"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"Blank","1":"Marriage_Type1","2":"Marriage_Type2"}}}},{"name":"ground_truth","dtype":"string"}]


hub_id: seedboxai/eval-german
license: []
language: []
config_name: default
column_names:
["question","choices","answerKey","source_eval_dataset","prompt_id","eval_prompt","__index_level_0__"]

features:
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hub_id: surabhiMV/qrcode_n
license: []
language: []
config_name: default
column_names: ["image","label","bbox"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":"image"},{"name":"bbox","sequence":{"sequence":{"sequence":"float64"}}}]


hub_id: xDAN-datasets/huatuo_encyclopedia_qa_364k
license: []
language: []
config_name: default
column_names: ["conversations","input","output","__index_level_0__"]
features:
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hub_id: xDAN-datasets/glaive_code_assistant_140K
license: []
language: []
config_name: default
column_names: ["conversations","input","output"]
features:
[{"name":"conversations","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]},{"name":"input","dtype":"string"},{"name":"output","dtype":"string"}]


hub_id: Codec-SUPERB/esc50
license: ["cc-by-nc-4.0"]
language: []
config_name: default
column_names: ["id","audio"]
features: [{"name":"id","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}}]
tags:
["license:cc-by-nc-4.0","size_categories:1K<n<10K","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: Rostlab/ProstT5Dataset
license: ["mit"]
language: []
config_name: default
column_names: ["input_id_x","input_id_y"]
features: [{"name":"input_id_x","sequence":"int64"},{"name":"input_id_y","sequence":"int64"}]
tags:
["task_categories:text-generation","license:mit","size_categories:10M<n<100M","parquet","datasets","dask","mlcroissant","region:us","biology","croissant"]


hub_id: argilla/ultrafeedback-binarized-preferences
license: []
language: []
config_name: default
column_names:
["source","instruction","chosen_response","rejected_response","chosen_avg_rating","rejected_avg_rating","chosen_model"]

features:
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hub_id: HartreeCentre/JustiaCorpus
license: ["cc-by-4.0"]
language: ["en"]
config_name: supreme-clean
column_names: ["Syllabus","Dissent","Opinion","summary","tag","url","file_urls","files","metadata"]
tags:
["task_categories:summarization","task_categories:text2text-generation","task_ids:text-simplification","annotations_creators:expert-generated","language_creators:found","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:10K<n<100K","region:us","legal"]

features:
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hub_id: makedelta/analyst_report_raw
license: []
language: []
config_name: default
column_names: ["content","created_at","pdf_content","sentiment","summary1","summary2","title","updated_at"]
features:
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hub_id: SAGI-1/reasoningData_200k
license: []
language: ["en"]
config_name: default
column_names: ["instruction","answer"]
features: [{"name":"instruction","dtype":"string"},{"name":"answer","dtype":"string"}]
tags:
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hub_id: librarian-bots/arxiv_articles_new_dataset_with_citation_info_and_hub_info
license: []
language: []
config_name: default
column_names:
["id","submitter","authors","title","comments","journal-ref","doi","report-no","categories","license","abstract","versions","update_date","authors_parsed","prediction","probability","citationCount","is_cited_on_hub"]

features:
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hub_id: Codec-SUPERB/librispeech_asr_test
license: []
language: []
config_name: default
column_names: ["text","id","unit"]
features:
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hub_id: wetdog/parlament_parla_ecapa_emb
license: []
language: []
config_name: default
column_names: ["path","speaker_id","sentence","gender","duration","embeddings"]
features:
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hub_id: harpreetsahota/zero_shot_comparison
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["source","target","rationale","task","type","decilm_generation","mistral_generation"]
features:
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hub_id: bassie96code/train_test_valid_wettekst
license: []
language: []
config_name: default
column_names: ["tok_wettekst","aantal tokens","label lijsten","__index_level_0__"]
features:
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hub_id: anumafzal94/pubmed-2shot-4096
license: []
language: []
config_name: default
column_names: ["text","summary","few-shot"]
features:
[{"name":"text","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"few-shot","dtype":"bool"}]


hub_id: jmelsbach/easy-german-definitions
license: []
language: []
config_name: default
column_names: ["title","explanation","detailed_explanation"]
features:
[{"name":"title","dtype":"string"},{"name":"explanation","dtype":"string"},{"name":"detailed_explanation","dtype":"string"}]


hub_id: udmurtNLP/madlad-400-udmurt
license: []
language: ["udm"]
config_name: default
column_names: ["sent"]
features: [{"name":"sent","dtype":"string"}]
tags:
["language:udm","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: pietrolesci/wikitext-103-raw-v1_gpt2-20k
license: []
language: []
config_name: surprisals
column_names: ["surprisals","token_ids","uids","batch_idx","step"]
features:
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hub_id: joseluhf11/oct-object-detection-v2-average
license: []
language: []
config_name: default
column_names: ["image","objects"]
features:
[{"name":"image","dtype":"image"},{"name":"objects","struct":[{"name":"bbox","sequence":{"sequence":"float64"}},{"name":"categories","sequence":"string"}]}]


hub_id: universalner/universal_ner
license: ["cc-by-sa-4.0"]
language: ["ceb","da","de","en","hr","pt","ru","sk","sr","sv","tl","zh"]
config_name: zh_pud
column_names: ["idx","text","tokens","ner_tags","annotator"]
tags:
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features:
[{"name":"idx","dtype":"string"},{"name":"text","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-PER","2":"I-PER","3":"B-ORG","4":"I-ORG","5":"B-LOC","6":"I-LOC"}}}},{"name":"annotator","sequence":"string"}]


hub_id: harpreetsahota/five_shot_comparison
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["source","target","rationale","task","type","decilm_generation","mistral_generation","falcon_generation"]

features:
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hub_id: rokset3/slim_pajama_chunk_1
license: []
language: []
config_name: default
column_names: ["text","meta","__index_level_0__"]
features:
[{"name":"text","dtype":"string"},{"name":"meta","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: tydymy/150bp_human_vs_microbial_dna
license: []
language: []
config_name: default
column_names:
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features:
[{"name":"#genome","dtype":"string"},{"name":"asm_name","dtype":"string"},{"name":"assembly_accession","dtype":"string"},{"name":"bioproject","dtype":"string"},{"name":"biosample","dtype":"string"},{"name":"wgs_master","dtype":"float64"},{"name":"seq_rel_date","dtype":"string"},{"name":"submitter","dtype":"string"},{"name":"ftp_path","dtype":"string"},{"name":"img_id","dtype":"float64"},{"name":"gtdb_id","dtype":"string"},{"name":"scope","dtype":"string"},{"name":"assembly_level","dtype":"string"},{"name":"genome_rep","dtype":"string"},{"name":"refseq_category","dtype":"string"},{"name":"release_type","dtype":"string"},{"name":"taxid","dtype":"float64"},{"name":"species_taxid","dtype":"float64"},{"name":"organism_name","dtype":"string"},{"name":"infraspecific_name","dtype":"string"},{"name":"isolate","dtype":"string"},{"name":"superkingdom","dtype":"string"},{"name":"phylum","dtype":"string"},{"name":"class","dtype":"string"},{"name":"order","dtype":"string"},{"name":"family","dtype":"string"},{"name":"genus","dtype":"string"},{"name":"species","dtype":"string"},{"name":"classified","dtype":"bool"},{"name":"unique_name","dtype":"string"},{"name":"lv1_group","dtype":"string"},{"name":"lv2_group","dtype":"string"},{"name":"score_faa","dtype":"float64"},{"name":"score_fna","dtype":"float64"},{"name":"score_rrna","dtype":"float64"},{"name":"score_trna","dtype":"float64"},{"name":"total_length","dtype":"float64"},{"name":"contigs","dtype":"float64"},{"name":"gc","dtype":"float64"},{"name":"n50","dtype":"float64"},{"name":"l50","dtype":"float64"},{"name":"proteins","dtype":"float64"},{"name":"protein_length","dtype":"float64"},{"name":"coding_density","dtype":"float64"},{"name":"completeness","dtype":"float64"},{"name":"contamination","dtype":"float64"},{"name":"strain_heterogeneity","dtype":"float64"},{"name":"markers","dtype":"float64"},{"name":"5s_rrna","dtype":"string"},{"name":"16s_rrna","dtype":"string"},{"name":"23s_rrna","dtype":"string"},{"name":"trnas","dtype":"float64"},{"name":"draft_quality","dtype":"string"},{"name":"start_position","dtype":"int64"},{"name":"autotrain_text","dtype":"string"},{"name":"autotrain_label","dtype":{"class_label":{"names":{"0":0,"1":1}}}}]


hub_id: tydymy/150bp_multi_species_dataset
license: []
language: []
config_name: default
column_names:
["#genome","asm_name","assembly_accession","bioproject","biosample","wgs_master","seq_rel_date","submitter","ftp_path","img_id","gtdb_id","scope","assembly_level","genome_rep","refseq_category","release_type","taxid","species_taxid","organism_name","infraspecific_name","isolate","superkingdom","phylum","class","order","family","genus","species","classified","lv1_group","lv2_group","score_faa","score_fna","score_rrna","score_trna","total_length","contigs","gc","n50","l50","proteins","protein_length","coding_density","completeness","contamination","strain_heterogeneity","markers","5s_rrna","16s_rrna","23s_rrna","trnas","draft_quality","start_position","human_label","autotrain_text","autotrain_label"]

features:
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IFO 3283-01","1":"Alcanivorax borkumensis SK2","2":"Aquifex aeolicus VF5","3":"Archaeoglobus fulgidus DSM 4304","4":"Azorhizobium caulinodans ORS 571","5":"Bacillus anthracis str. Ames","6":"Bacillus anthracis str. Sterne ASM816v1","7":"Bacillus cereus ATCC 14579","8":"Bacillus clausii KSM-K16","9":"Bacillus pseudofirmus OF4","10":"Bacteroides fragilis YCH46","11":"Bacteroides thetaiotaomicron VPI-5482","12":"Bifidobacterium adolescentis ATCC 15703","13":"Bifidobacterium longum NCC2705","14":"Borrelia burgdorferi B31","15":"Brevibacillus brevis NBRC 100599","16":"Buchnera aphidicola str. Bp (Baizongia pistaciae)","17":"Buchnera aphidicola str. Sg (Schizaphis graminum) Sg","18":"Caldanaerobacter subterraneus subsp. tengcongensis MB4","19":"Candidatus Azobacteroides pseudotrichonymphae genomovar. CFP2","20":"Candidatus Vesicomyosocius okutanii HA","21":"Chlamydia felis Fe/C-56","22":"Chlamydia trachomatis D/UW-3/CX","23":"Chlamydophila caviae GPIC","24":"Chlamydophila pneumoniae CWL029","25":"Chlamydophila pneumoniae TW-183","26":"Chlorobium tepidum TLS","27":"Chromobacterium violaceum ATCC 12472","28":"Clostridioides difficile 630 ASM920v1","29":"Clostridium acetobutylicum ATCC 824","30":"Clostridium tetani E88 Massachusetts substr. E88","31":"Corynebacterium jeikeium K411 K411 = NCTC 11915","32":"Coxiella burnetii RSA 493 ASM776v1","33":"Deferribacter desulfuricans SSM1","34":"Dehalococcoides mccartyi CBDB1","35":"Deinococcus radiodurans R1 ASM856v1","36":"Desulfovibrio magneticus RS-1","37":"Enterococcus faecalis V583 ASM778v1","38":"Escherichia coli O157:H7 str. Sakai Sakai substr. RIMD 0509952","39":"Finegoldia magna ATCC 29328","40":"Francisella tularensis subsp. holarctica LVS ASM924v1","41":"Fusobacterium nucleatum subsp. nucleatum ATCC 25586","42":"Gemmatimonas aurantiaca T-27","43":"Geobacter sulfurreducens PCA","44":"Haemophilus ducreyi 35000HP","45":"Haloquadratum walsbyi DSM 16790 DSM 16790 = HBSQ001","46":"Helicobacter acinonychis str. Sheeba","47":"Helicobacter hepaticus ATCC 51449","48":"Helicobacter pylori 26695 ASM852v1","49":"Hydrogenobacter thermophilus TK-6 ASM1078v1","50":"Idiomarina loihiensis L2TR","51":"Kocuria rhizophila DC2201","52":"Lactobacillus fermentum IFO 3956","53":"Lactobacillus salivarius UCC118","54":"Lactococcus lactis subsp. lactis Il1403 IL1403","55":"Macrococcus caseolyticus JCSC5402","56":"Magnetospirillum magneticum AMB-1","57":"Mannheimia succiniciproducens MBEL55E","58":"Methanocella paludicola SANAE","59":"Methanococcus voltae A3","60":"Methanopyrus kandleri AV19","61":"Methanosarcina acetivorans C2A","62":"Methanothermobacter thermautotrophicus str. Delta H","63":"Methylococcus capsulatus str. Bath","64":"Microcystis aeruginosa NIES-843","65":"Mycobacterium avium subsp. paratuberculosis K-10","66":"Neisseria gonorrhoeae FA 1090","67":"Neisseria meningitidis MC58","68":"Nitratiruptor sp. SB155-2 ASM1032v1","69":"Nitrosomonas europaea ATCC 19718","70":"Nostoc sp. PCC 7120 ASM970v1","71":"Onion yellows phytoplasma OY-M onion yellows","72":"Orientia tsutsugamushi str. Ikeda","73":"Pelotomaculum thermopropionicum SI","74":"Picrophilus torridus DSM 9790","75":"Porphyromonas gingivalis ATCC 33277","76":"Prochlorococcus marinus subsp. marinus str. CCMP1375","77":"Propionibacterium acnes KPA171202","78":"Pseudomonas putida KT2440","79":"Pyrobaculum aerophilum str. IM2","80":"Pyrococcus furiosus DSM 3638","81":"Ralstonia solanacearum GMI1000","82":"Rickettsia conorii str. Malish 7","83":"Rickettsia typhi str. Wilmington","84":"Rothia mucilaginosa DY-18","85":"Shigella flexneri 2a str. 301","86":"Sinorhizobium meliloti 1021","87":"Sodalis glossinidius str. 'morsitans' morsitans","88":"Staphylococcus epidermidis ATCC 12228 ASM764v1","89":"Staphylococcus haemolyticus JCSC1435","90":"Staphylococcus saprophyticus subsp. saprophyticus ATCC 15305 ASM1012v1","91":"Streptococcus agalactiae 2603V/R","92":"Streptococcus mutans UA159","93":"Streptococcus pyogenes M1 GAS SF370","94":"Streptococcus uberis 0140J","95":"Streptomyces avermitilis MA-4680 = NBRC 14893 MA-4680 ASM976v2","96":"Streptomyces griseus subsp. griseus NBRC 13350","97":"Sulfolobus solfataricus P2","98":"Sulfurovum sp. NBC37-1 ASM1034v1","99":"Symbiobacterium thermophilum IAM 14863 IAM14863","100":"Synechococcus elongatus PCC 6301","101":"Synechocystis sp. PCC 6803 ASM972v1","102":"Thermococcus kodakarensis KOD1","103":"Thermotoga maritima MSB8 ASM854v1","104":"Treponema denticola ATCC 35405","105":"Treponema pallidum subsp. pallidum str. Nichols ASM860v1","106":"Tropheryma whipplei str. Twist","107":"Vibrio cholerae O1 biovar El Tor str. N16961","108":"Vibrio vulnificus YJ016","109":"Wigglesworthia glossinidia endosymbiont of Glossina brevipalpis","110":"Wolbachia endosymbiont of Drosophila melanogaster wMel","111":"Wolbachia endosymbiont strain TRS of Brugia malayi","112":"Xanthomonas campestris pv. campestris str. ATCC 33913","113":"Xanthomonas oryzae pv. oryzae KACC 10331","114":"Xylella fastidiosa 9a5c","115":"Yersinia enterocolitica subsp. enterocolitica 8081","116":"Yersinia pestis CO92 ASM906v1","117":"Zymomonas mobilis subsp. mobilis ZM4 = ATCC 31821 ZM4","118":"[Bacillus thuringiensis] serovar konkukian str. 97-27","119":"[Pseudomonas syringae] pv. tomato str. DC3000","120":"homo sapiens"}}}}]


hub_id: rishiraj/bengalichat
license: ["cc-by-nc-4.0"]
language: ["bn"]
config_name: default
column_names: ["prompt","prompt_id","messages","category","text"]
tags:
["task_categories:text-generation","language:bn","license:cc-by-nc-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:2203.02155","region:us","croissant"]


hub_id: seonglae/nq_open-validation
license: []
language: []
config_name: psgs_w100.dpr_nq.8_gpt-3.5-turbo.1_gpt-3.5-turbo
column_names: ["question","answer","retrieved","summary","predicted","score"]
features:
[{"name":"question","dtype":"string"},{"name":"answer","sequence":"string"},{"name":"retrieved","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"predicted","dtype":"string"},{"name":"score","dtype":"float64"}]


hub_id: kpriyanshu256/semeval-task-8-b-v2-mistral-7b
license: []
language: []
config_name: default
column_names:
["text","model","source","label","id","mistral-7b_estimated_loss","mistral-7b_mean_lowest25","mistral-7b_mean_highest25","mistral-7b_max","mistral-7b_min","mistral-7b_range","mistral-7b_mean","mistral-7b_std","mistral-7b_entropy","mistral-7b_kurtosis","mistral-7b_skewness","mistral-7b_perplexity"]

features:
[{"name":"text","dtype":"string"},{"name":"model","dtype":"string"},{"name":"source","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"id","dtype":"int64"},{"name":"mistral-7b_estimated_loss","dtype":"float64"},{"name":"mistral-7b_mean_lowest25","dtype":"float64"},{"name":"mistral-7b_mean_highest25","dtype":"float64"},{"name":"mistral-7b_max","dtype":"float64"},{"name":"mistral-7b_min","dtype":"float64"},{"name":"mistral-7b_range","dtype":"float64"},{"name":"mistral-7b_mean","dtype":"float64"},{"name":"mistral-7b_std","dtype":"float64"},{"name":"mistral-7b_entropy","dtype":"float64"},{"name":"mistral-7b_kurtosis","dtype":"float64"},{"name":"mistral-7b_skewness","dtype":"float64"},{"name":"mistral-7b_perplexity","dtype":"float64"}]


hub_id: alec-groff/warehouse-detection
license: []
language: []
config_name: default
column_names: ["filename","objects"]
features:
[{"name":"filename","dtype":"string"},{"name":"objects","struct":[{"name":"bbox","sequence":{"sequence":"float64"}},{"name":"categories","sequence":"int64"}]}]


hub_id: tollefj/multi-nli-NOB
license: ["cc-by-4.0"]
language: []
config_name: default
column_names: ["promptID","pairID","premise","hypothesis","genre","label"]
tags:
["license:cc-by-4.0","size_categories:100K<n<1M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"promptID","dtype":"int32"},{"name":"pairID","dtype":"string"},{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"genre","dtype":"string"},{"name":"label","dtype":"int64"}]


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


hub_id: nvidia/HelpSteer
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["prompt","response","helpfulness","correctness","coherence","complexity","verbosity"]
tags:
["language:en","license:cc-by-4.0","size_categories:10K<n<100K","json","image","tabular","text","datasets","pandas","mlcroissant","arxiv:2311.09528","arxiv:2310.05344","region:us","human-feedback","croissant"]

features:
[{"name":"prompt","dtype":"string"},{"name":"response","dtype":"string"},{"name":"helpfulness","dtype":"int32"},{"name":"correctness","dtype":"int32"},{"name":"coherence","dtype":"int32"},{"name":"complexity","dtype":"int32"},{"name":"verbosity","dtype":"int32"}]


hub_id: MarkChen1214/SemCor
license: ["mit"]
language: ["en"]
config_name: default
tags:
["task_categories:text-classification","language:en","license:mit","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["ID","Word","Lemma","POS","Definition","Lemma_sentence","sentence","Lemma_tfidf","Lemma_tfidf_value"]

features:
[{"name":"ID","sequence":"int64"},{"name":"Word","sequence":"string"},{"name":"Lemma","sequence":"string"},{"name":"POS","sequence":"string"},{"name":"Definition","sequence":"string"},{"name":"Lemma_sentence","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"Lemma_tfidf","sequence":"string"},{"name":"Lemma_tfidf_value","sequence":"float64"}]


hub_id: danielz01/IDTreeS
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["image","objects","taxonomy_id","scientific_name","boxes"]
features:
[{"name":"image","dtype":"image"},{"name":"objects","struct":[{"name":"bbox","sequence":{"sequence":{"sequence":"int64"}}},{"name":"categories","sequence":"int64"}]},{"name":"taxonomy_id","sequence":"string"},{"name":"scientific_name","sequence":"string"},{"name":"boxes","sequence":{"sequence":"int64"}}]


hub_id: celsowm/imdb-reviews-pt-br
license: []
language: ["pt"]
config_name: default
column_names: ["id","texto","sentimento"]
tags:
["task_categories:text-classification","language:pt","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"int64"},{"name":"texto","dtype":"string"},{"name":"sentimento","dtype":"int32"}]


hub_id: danielz01/neon-trees
license: []
language: []
config_name: default
column_names: ["image","path","objects","count","height","width"]
features:
[{"name":"image","dtype":"image"},{"name":"path","dtype":"string"},{"name":"objects","struct":[{"name":"bbox","sequence":{"sequence":"float64"}},{"name":"categories","sequence":"string"}]},{"name":"count","dtype":"int64"},{"name":"height","dtype":"int64"},{"name":"width","dtype":"int64"}]


hub_id: universeTBD/arxiv-qa-astro-ph
license: []
language: []
config_name: default
column_names: ["index","question","answer"]
features:
[{"name":"index","dtype":"int64"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"}]


hub_id: dongyoung4091/hh-rlhf_with_features_flan_t5_large_Bard_Generated_xl_zeroshot
license: []
language: []
config_name: default
column_names:
["chosen","rejected","helpfulness_chosen","helpfulness_rejected","specificity_chosen","specificity_rejected","intent_chosen","intent_rejected","factuality_chosen","factuality_rejected","easy-to-understand_chosen","easy-to-understand_rejected","relevance_chosen","relevance_rejected","readability_chosen","readability_rejected","enough-detail_chosen","enough-detail_rejected","biased:_chosen","biased:_rejected","fail-to-consider-individual-preferences_chosen","fail-to-consider-individual-preferences_rejected","repetetive_chosen","repetetive_rejected","fail-to-consider-context_chosen","fail-to-consider-context_rejected","too-long_chosen","too-long_rejected","human","assistant_chosen","assistant_rejected","log_score_chosen","log_score_rejected","labels","zeroshot_relevance_chosen","zeroshot_relevance_rejected","zeroshot_completeness_chosen","zeroshot_completeness_rejected","zeroshot_clarity_chosen","zeroshot_clarity_rejected","zeroshot_accuracy_chosen","zeroshot_accuracy_rejected","zeroshot_objectivity_chosen","zeroshot_objectivity_rejected","zeroshot_creativity_chosen","zeroshot_creativity_rejected","zeroshot_engagement_chosen","zeroshot_engagement_rejected","zeroshot_personalization_chosen","zeroshot_personalization_rejected","zeroshot_politeness_chosen","zeroshot_politeness_rejected","zeroshot_efficiency_chosen","zeroshot_efficiency_rejected","zeroshot_timeliness_chosen","zeroshot_timeliness_rejected"]

features:
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hub_id: dongyoung4091/hh-generated_flan_t5_large_flan_t5_zeroshot_DA_Bard_Generated
license: []
language: []
config_name: default
column_names:
["prompt","response","zeroshot_relevance","zeroshot_completeness","zeroshot_clarity","zeroshot_accuracy","zeroshot_objectivity","zeroshot_creativity","zeroshot_engagement","zeroshot_personalization","zeroshot_politeness","zeroshot_efficiency","zeroshot_timeliness"]

features:
[{"name":"prompt","dtype":"string"},{"name":"response","dtype":"string"},{"name":"zeroshot_relevance","dtype":"float64"},{"name":"zeroshot_completeness","dtype":"float64"},{"name":"zeroshot_clarity","dtype":"float64"},{"name":"zeroshot_accuracy","dtype":"float64"},{"name":"zeroshot_objectivity","dtype":"float64"},{"name":"zeroshot_creativity","dtype":"float64"},{"name":"zeroshot_engagement","dtype":"float64"},{"name":"zeroshot_personalization","dtype":"float64"},{"name":"zeroshot_politeness","dtype":"float64"},{"name":"zeroshot_efficiency","dtype":"float64"},{"name":"zeroshot_timeliness","dtype":"float64"}]


hub_id: pvisnrt/samsum_dataset
license: []
language: []
config_name: default
column_names: ["source","summary_target","gold_tags"]
features:
[{"name":"source","sequence":"string"},{"name":"summary_target","sequence":"string"},{"name":"gold_tags","sequence":"int32"}]


hub_id: DynamicSuperb/SpeechSummaryMatching_How2
license: []
language: []
config_name: default
column_names: ["audio","file","text","instruction","label"]
features:
[{"name":"audio","dtype":"audio"},{"name":"file","dtype":"string"},{"name":"text","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"label","dtype":"string"}]


hub_id: ChengAoShen/emoji_with_text
license: ["mit"]
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:mit","size_categories:10K<n<100K","parquet","image","text","datasets","pandas","mlcroissant","region:us","art","croissant"]


hub_id: atmallen/qm_grader_first_1.0e
license: []
language: []
config_name: default
column_names: ["alice_label","bob_label","difficulty","statement","choices","character","label"]
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hub_id: xDAN-datasets/ChatDoctor-iCliniq-7.3k
license: []
language: []
config_name: default
column_names: ["conversations_icliniq","input","output"]
features:
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hub_id: V12X-ksr/FOCALtask
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["Functions Text","Functions Label"]
features: [{"name":"Functions Text","sequence":"string"},{"name":"Functions Label","sequence":"string"}]
tags:
["task_categories:token-classification","annotations_creators:expert-generated","multilinguality:monolingual","language:en","license:cc-by-4.0","size_categories:1K<n<10K","region:us","astronomy"]


hub_id: xDAN-datasets/ChatDoctor_chatGpt_7k
license: []
language: []
config_name: default
column_names: ["conversations_chatgpt","input","output"]
features:
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hub_id: skadewdl3/llama2-recipe-generation-mini
license: []
language: []
config_name: default
column_names: ["title","ingredients","directions","link","source","NER","prompt"]
features:
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hub_id: chiragtubakad/image-cls
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"bar","1":"dot","2":"line","3":"pie"}}}}]


hub_id: mjphayes/elpv-augmented
license: []
language: []
config_name: default
column_names: ["image","class","type"]
features:
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hub_id: argilla/multi-modal
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["content","description","description-suggestion","description-suggestion-metadata","quality","quality-suggestion","quality-suggestion-metadata","age_group","age_group-suggestion","age_group-suggestion-metadata","external_id","metadata"]

features:
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hub_id: JsSparkYyx/NLP524
license: ["apache-2.0"]
language: []
config_name: sst2
column_names: ["source","target"]
features: [{"name":"source","dtype":"string"},{"name":"target","dtype":"string"}]
tags:
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hub_id: tollefj/all-nli-NOB
license: ["cc-by-4.0"]
language: ["nb","no"]
config_name: default
column_names: ["premise","hypothesis","label","id"]
tags:
["task_categories:sentence-similarity","language:nb","language:no","license:cc-by-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
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hub_id: rishiraj/hindichat
license: ["cc-by-nc-4.0"]
language: ["hi"]
config_name: default
column_names: ["prompt","prompt_id","messages","category","text"]
tags:
["task_categories:text-generation","language:hi","license:cc-by-nc-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:2203.02155","region:us","croissant"]


hub_id: hanifabdlh/LaMini-Instruction-Indonesian-Google-Translated
license: ["mit"]
language: ["id"]
config_name: default
column_names: ["context","instruction","response","instruction_source"]
tags:
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features:
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hub_id: Data-Lab/classification_dialogue_search_v0.2
license: []
language: []
config_name: default
column_names: ["query","ner","gold","__index_level_0__"]
features:
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hub_id: joshuapsa/gpt-generated-news-sentences
license: ["mit"]
language: ["en"]
config_name: default
tags:
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column_names:
["class_index","text","_air","_cybersecurity","_domestic_unrest_violence","_extreme_weather","_forced_labor","_general_biz_trend","_later_report","_lawsuit_legal_insurance","_leisure_other_news","_maritime","_pandemics_large_scale_diseases","_railway","_strike","_trade_war_embargos_bans","_war_conflict","_warehouse_fire","labels"]

features:
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hub_id: agucci/mri-sym2
license: []
language: []
config_name: default
column_names: ["image","line","rad_score","session"]
tags:
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features:
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hub_id: Pipper/sol_processed_s2s
license: []
language: []
config_name: default
column_names: ["file_name","comments","code_string","__index_level_0__","input_ids","attention_mask","labels"]
features:
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hub_id: nourheshamshaheen/ICPR_big
license: []
language: []
config_name: default
column_names: ["image","label","pipeline_label","true_label"]
features:
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hub_id: nourheshamshaheen/ICPR_big_2
license: []
language: []
config_name: default
column_names: ["image","label","pipeline_label","true_label"]
features:
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hub_id: communityai/aptchatv1-template-micro-dataset-llm-v2-714k
license: []
language: []
config_name: default
column_names: ["id","source","conversations"]
features:
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hub_id: promptora11/dataset_train
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Query","Response","__index_level_0__"]
features:
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hub_id: sanchit-gandhi/common_voice_13_0_hi_pseudo_labelled
license: []
language: []
config_name: hi
column_names:
["client_id","path","audio","sentence","up_votes","down_votes","age","gender","accent","locale","segment","variant","whisper_transcript"]

features:
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hub_id: shariqfarooq/lcn_bd
license: []
language: []
config_name: default
column_names: ["caption","condition","controlnet","ours","idd"]
features:
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hub_id: TwoAbove/midjourney-messages
tags: ["license:apache-2.0","region:us"]
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["id","channel_id","content","timestamp","image_id","image","url","height","width","size"]
features:
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hub_id: sivan22/sefaria-dual-he-en
license: []
language: []
config_name: default
column_names:
["_id","language","title","versionSource","versionTitle","status","license","versionTitleInHebrew","actualLanguage","isBaseText","level_1_index","level_2_index","level_3_index","level_4_index","heText","enText","versionNotes","versionNotesInHebrew","method","digitizedBySefaria","heversionSource","priority","shortVersionTitle","purchaseInformationImage","purchaseInformationURL","__index_level_0__"]

features:
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hub_id: gabrielmbmb/ultrafeedback-prompts-ultrajudge-gpt35
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: joshuapsa/gpt-generated-news-paragraphs-v1.0
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: Tumbal123/tumbal1
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: Elfsong/Wino_Bias
license: []
language: []
config_name: default
column_names: ["input","output","reference","gender","polarity","type"]
features:
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hub_id: renumics/cloome_demo
license: []
language: []
config_name: default
column_names:
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hub_id: Andyrasika/banking-marketing
license: ["openrail"]
language: []
config_name: default
tags:
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column_names:
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features:
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hub_id: cmagganas/zero_shot_comparison
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: sheepy928/purdue_reddit_posts_2017_2022_merged_sentences
license: []
language: []
config_name: default
column_names: ["created_utc","url","author","__index_level_0__","sentence"]
features:
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hub_id: Decompile/ygo_monsters
license: ["unlicense"]
language: []
config_name: default
column_names: ["image","card_name","card_text","id"]
tags:
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features:
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hub_id: Tverous/misinfo-meta
tags: ["size_categories:10K<n<100K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["uid","claim","main_text","image","video","audio","kg_embedding"]
features:
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hub_id: harpreetsahota/zero_shot_comparison_with_results
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: joey234/sst2_affix_neg
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hub_id: joey234/rotten_tomatoes_affix_neg
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hub_id: joey234/amazon_affix_neg
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hub_id: AntoineBlanot/snli-3way
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hub_id: bigheiniuJ/CoTTrain-CoTCollection
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hub_id: arcee-ai/nuclear_patents
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hub_id: reddit-tools-HF/dataset-creator-reddit-bestofredditorupdates
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hub_id: TrainingDataPro/dermatology-dataset-acne-redness-and-bags-under-the-eyes
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hub_id: zoharli/sst2_priv
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hub_id: jzjiao/fever-sft
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hub_id: tiennguyenbnbk/zalo_ai_math_alpaca_input_aug
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hub_id: mponty/reordered_python_starcoderdata
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hub_id: freQuensy23/sexting_prompts
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hub_id: darrel999/business-java-code
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hub_id: GHOFRANEE/LLM_data3
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hub_id: toilaluan/controlnet_fashion_sdxl
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hub_id: adams-story/diffusiondb-prompt-upscale
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hub_id: BadreddineHug/badreddine_llama_Ner
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hub_id: kjappelbaum/chemnlp_iupac_smiles
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hub_id: gagan3012/CS
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hub_id: simple-pretraining/bookcorpusopen_with_ids_chunked
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hub_id: simple-pretraining/wikipedia_chunked
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hub_id: genta-tech/rlhf-id-30
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hub_id: youlive789/sales
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hub_id: Fishball02/anime-subtitle-dragon-ball
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hub_id: ruoruoliu/github-issues
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hub_id: thanaphatt1/LongAlpaca-16kcontext-enth-and-WikiQA
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hub_id: communityai/apt-instruct-code-micro-600k
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hub_id: Yama/translated_math
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hub_id: umarbutler/open-australian-legal-qa
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hub_id: MagedSaeed/AskTheTeacherDataset
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hub_id: KaiserML/Techie_Filtered_Meta
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hub_id: haydn-jones/Guacamol
license: []
language: []
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column_names: ["SMILE","SELFIE"]
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hub_id: bnsapa/cybersecurity-ner
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["id","tokens","ner_tags"]
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hub_id: Srikar6476/indian_food_images
license: []
language: []
config_name: default
column_names: ["image","label"]
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hub_id: KaiserML/Techie_Urls
license: []
language: []
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column_names: ["lens_id","title","pdf_urls","domain","__index_level_0__"]
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hub_id: imvladikon/hebrew_speech_campus
license: []
language: ["he"]
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hub_id: Sijuade/diffusion_latent_test
license: ["mit"]
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hub_id: gnumanth/gita
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language: []
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hub_id: manu/gallica_ocr_cleaned
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column_names: ["file","clean_text","text"]
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hub_id: dputilov/midascontrolour
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hub_id: DBQ/Celine.Product.prices.Germany
license: ["unknown"]
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hub_id: DBQ/Net.a.Porter.Product.prices.Portugal
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hub_id: DBQ/Net.a.Porter.Product.prices.Italy
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hub_id: DBQ/Net.a.Porter.Product.prices.India
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tags:
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column_names:
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hub_id: DBQ/Chloe.Product.prices.United.States
license: ["unknown"]
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hub_id: DBQ/Bottega.Veneta.Product.prices.Italy
license: ["unknown"]
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hub_id: DBQ/Net.a.Porter.Product.prices.Hong.Kong
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hub_id: Sijuade/cats_dogs_birds_latents
license: ["mit"]
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column_names: ["latent","noised_latents","noise","timesteps","label"]
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hub_id: PaulLoisel/mlp_dataset
license: []
language: []
config_name: default
column_names: ["purchased_products","review_time_spent","label","text","Beauty Products","Furniture","Toys"]
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hub_id: PaulLoisel/mlp_no_cat_dataset
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hub_id: justmalhar/hindi-short-news
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hub_id: benayas/massive
license: []
language: []
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hub_id: benayas/massive_llm_v1
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hub_id: Elfsong/Bias_in_Bios
license: []
language: []
config_name: default
column_names: ["hard_text","profession","gender"]
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hub_id: scherrmann/financial_phrasebank_75agree_german
license: ["cc-by-nc-sa-3.0"]
language: ["de"]
config_name: default
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hub_id: keylazy/ark-atk
license: []
language: []
config_name: default
column_names:
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hub_id: DBQ/Prada.Product.prices.Spain
license: ["unknown"]
language: ["en"]
config_name: default
tags:
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hub_id: DBQ/Net.a.Porter.Product.prices.Singapore
license: ["unknown"]
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config_name: default
features:
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hub_id: DBQ/Dior.Product.prices.Australia
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tags:
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hub_id: DBQ/Gucci.Product.prices.Qatar
license: ["unknown"]
language: ["en"]
config_name: default
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hub_id: DBQ/Louis.Vuitton.Product.prices.Singapore
license: ["unknown"]
language: ["en"]
config_name: default
tags:
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hub_id: DBQ/Balenciaga.Product.prices.Hong.Kong
license: ["unknown"]
language: ["en"]
config_name: default
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hub_id: DBQ/My.Theresa.Product.prices.France
license: ["unknown"]
language: ["en"]
config_name: default
tags:
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hub_id: DBQ/Saint.Laurent.Product.prices.United.Kingdom
license: ["unknown"]
language: ["en"]
config_name: default
tags:
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hub_id: DBQ/Mr.Porter.Product.prices.Netherlands
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hub_id: DBQ/Farfetch.Product.prices.United.Kingdom
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language: ["en"]
config_name: default
tags:
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hub_id: DBQ/Burberry.Product.prices.United.States
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language: ["en"]
config_name: default
tags:
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hub_id: DBQ/Hermes.Product.prices.South.Korea
license: ["unknown"]
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hub_id: DBQ/Blickers.Product.prices.Italy
license: ["unknown"]
language: ["en"]
config_name: default
tags:
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hub_id: DBQ/Chanel.Product.prices.Italy
license: ["unknown"]
language: ["en"]
config_name: default
tags:
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hub_id: DBQ/Ounass.Product.prices.Oman
license: ["unknown"]
language: ["en"]
config_name: default
tags:
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hub_id: DBQ/Loro.Piana.Product.prices.United.States
license: ["unknown"]
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config_name: default
tags:
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hub_id: DBQ/Fendi.Standard.Categories.Italy
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hub_id: DBQ/Fendi.Product.prices.Singapore
license: ["unknown"]
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hub_id: DBQ/Loro.Piana.Product.prices.Canada
license: ["unknown"]
language: ["en"]
config_name: default
tags:
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hub_id: DBQ/Blickers.Product.prices.France
license: ["unknown"]
language: ["en"]
config_name: default
tags:
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hub_id: DBQ/Chanel.Product.prices.Singapore
license: ["unknown"]
language: ["en"]
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hub_id: DBQ/Matches.Fashion.Product.prices.France
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hub_id: DBQ/Rue.La.La.Product.prices.United.States
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hub_id: DBQ/Saint.Laurent.Standard.Categories.Italy
license: ["unknown"]
language: ["en"]
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column_names: ["dbq_prd_type","competence_date","website_name","product_code","tag_field"]
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hub_id: jherng/xd-violence
tags: ["license:mit","region:us"]
license: ["mit"]
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column_names: ["id","feature","binary_target","multilabel_target","frame_annotations"]
features:
[{"name":"id","dtype":"string"},{"name":"feature","dtype":{"array2_d":{"shape":[4096],"dtype":"float32"}}},{"name":"binary_target","dtype":{"class_label":{"names":{"0":"Non-violence","1":"Violence"}}}},{"name":"multilabel_target","sequence":{"class_label":{"names":{"0":"Normal","1":"Fighting","2":"Shooting","3":"Riot","4":"Abuse","5":"Car accident","6":"Explosion"}}}},{"name":"frame_annotations","sequence":[{"name":"start","dtype":"int32"},{"name":"end","dtype":"int32"}]}]


hub_id: Robin246/inxai_dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["action_needed","action","category","input_sentence","reply"]
features:
[{"name":"action_needed","dtype":"int64"},{"name":"action","dtype":"string"},{"name":"category","dtype":"string"},{"name":"input_sentence","dtype":"string"},{"name":"reply","dtype":"string"}]


hub_id: DynamicSuperb/SourceDetection_mb23-music_caps_4sec_wave_type
license: ["mit"]
language: []
config_name: default
column_names: ["instruction","label","audio","audio2","file","file2","number","number2"]
features:
[{"name":"instruction","dtype":"string"},{"name":"label","dtype":"string"},{"name":"audio","dtype":"audio"},{"name":"audio2","dtype":"audio"},{"name":"file","dtype":"string"},{"name":"file2","dtype":"string"},{"name":"number","dtype":"int64"},{"name":"number2","dtype":"int64"}]


hub_id: chemNLP/clinical-trials-v2
license: []
language: []
config_name: default
column_names: ["filename","xml","text"]
features:
[{"name":"filename","dtype":"string"},{"name":"xml","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: marvy/book-covers
license: []
language: []
config_name: default
column_names: ["image","prompt"]
features: [{"name":"image","dtype":"image"},{"name":"prompt","dtype":"string"}]
tags:
["size_categories:10M<n<100M","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: neuralwork/fashion-style-instruct
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["input","completion","context"]
tags:
["task_categories:text-generation","language:en","license:mit","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"input","dtype":"string"},{"name":"completion","dtype":"string"},{"name":"context","dtype":"string"}]


hub_id: abdulrahman-nuzha/squad_v2_prompt
tags: ["size_categories:100K<n<1M","text","region:us"]
license: []
language: []
config_name: train
column_names: ["id","title","context","question","answers","text"]
features:
[{"name":"id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answers","sequence":[{"name":"text","dtype":"string"},{"name":"answer_start","dtype":"int32"}]},{"name":"text","dtype":"string"}]


hub_id: cointegrated/taiga_stripped_rest
license: ["cc-by-sa-3.0"]
language: ["ru"]
config_name: default
column_names: ["text","file"]
features: [{"name":"text","dtype":"string"},{"name":"file","dtype":"string"}]
tags:
["task_categories:text-generation","task_categories:fill-mask","language:ru","license:cc-by-sa-3.0","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","taiga","tayga","croissant"]


hub_id: reza-alipour/CelebA-HQ
license: []
language: []
config_name: default
column_names:
["id","mm_id","image","mask","landmark","landmark_cropped","captions","captions_eng","captions_pes","captions_fra","captions_deu","captions_ita","captions_spa","captions_all"]

features:
[{"name":"id","dtype":"string"},{"name":"mm_id","dtype":"string"},{"name":"image","dtype":"image"},{"name":"mask","dtype":"image"},{"name":"landmark","dtype":"image"},{"name":"landmark_cropped","dtype":"image"},{"name":"captions","sequence":"string"},{"name":"captions_eng","sequence":"string"},{"name":"captions_pes","sequence":"string"},{"name":"captions_fra","sequence":"string"},{"name":"captions_deu","sequence":"string"},{"name":"captions_ita","sequence":"string"},{"name":"captions_spa","sequence":"string"},{"name":"captions_all","sequence":"string"}]


hub_id: Yijia-Xiao/PII-PQA-raw
license: []
language: []
config_name: default
column_names: ["Question","Answer","Protected Answer"]
features:
[{"name":"Question","dtype":"string"},{"name":"Answer","dtype":"string"},{"name":"Protected Answer","dtype":"string"}]


hub_id: healthcorum/autotrain-data-tu9p-fvi7-zb2n
license: []
language: []
config_name: default
column_names: ["Unnamed: 0","responses","autotrain_text"]
features:
[{"name":"Unnamed: 0","dtype":"int64"},{"name":"responses","dtype":"string"},{"name":"autotrain_text","dtype":"string"}]


hub_id: BEE-spoke-data/govdocs1-image
license: ["odc-by"]
language: []
config_name: default
column_names: ["image"]
features: [{"name":"image","dtype":"image"}]
tags:
["license:odc-by","size_categories:100K<n<1M","parquet","image","text","datasets","dask","mlcroissant","region:us","govdocs1","jpg","croissant"]


hub_id: amazingvince/RedPajama-Data-V2-Sample-snapshot-2023-14
license: []
language: []
config_name: default
column_names: ["raw_content","doc_id","meta","quality_signals"]
features:
[{"name":"raw_content","dtype":"string"},{"name":"doc_id","dtype":"string"},{"name":"meta","dtype":"string"},{"name":"quality_signals","dtype":"string"}]


hub_id: Eitanli/ingredients_alternatives
license: []
language: []
config_name: default
column_names: ["id","recipe","ingredients_alternatives"]
features:
[{"name":"id","dtype":"int64"},{"name":"recipe","dtype":"string"},{"name":"ingredients_alternatives","dtype":"string"}]


hub_id: dthoek/DocLayNet-large_paragraphs_encoded_ml512
license: []
language: []
config_name: default
column_names: ["page_hash","input_ids","attention_mask","normalized_bboxes","labels"]
features:
[{"name":"page_hash","dtype":"string"},{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"},{"name":"normalized_bboxes","sequence":{"sequence":"int64"}},{"name":"labels","sequence":"int64"}]


hub_id: danielz01/xView2
license: []
language: []
config_name: competition
column_names: ["image1","image2","mask1","mask2","objects1","objects2","meta1","meta2"]
features:
[{"name":"image1","dtype":"image"},{"name":"image2","dtype":"image"},{"name":"mask1","dtype":"image"},{"name":"mask2","dtype":"image"},{"name":"objects1","struct":[{"name":"bbox","sequence":{"sequence":"int32"}},{"name":"feature_type","sequence":"string"},{"name":"uid","sequence":"string"}]},{"name":"objects2","struct":[{"name":"bbox","sequence":{"sequence":"int32"}},{"name":"feature_type","sequence":"string"},{"name":"subtype","sequence":"string"},{"name":"uid","sequence":"string"}]},{"name":"meta1","struct":[{"name":"features","struct":[{"name":"lng_lat","list":[{"name":"properties","struct":[{"name":"feature_type","dtype":"string"},{"name":"uid","dtype":"string"}]},{"name":"wkt","dtype":"string"}]},{"name":"xy","list":[{"name":"properties","struct":[{"name":"feature_type","dtype":"string"},{"name":"uid","dtype":"string"}]},{"name":"wkt","dtype":"string"}]}]},{"name":"metadata","struct":[{"name":"capture_date","dtype":"string"},{"name":"catalog_id","dtype":"string"},{"name":"disaster","dtype":"string"},{"name":"disaster_type","dtype":"string"},{"name":"gsd","dtype":"float64"},{"name":"height","dtype":"int64"},{"name":"id","dtype":"string"},{"name":"img_name","dtype":"string"},{"name":"off_nadir_angle","dtype":"float64"},{"name":"original_height","dtype":"int64"},{"name":"original_width","dtype":"int64"},{"name":"pan_resolution","dtype":"float64"},{"name":"provider_asset_type","dtype":"string"},{"name":"sensor","dtype":"string"},{"name":"sun_azimuth","dtype":"float64"},{"name":"sun_elevation","dtype":"float64"},{"name":"target_azimuth","dtype":"float64"},{"name":"width","dtype":"int64"}]}]},{"name":"meta2","struct":[{"name":"features","struct":[{"name":"lng_lat","list":[{"name":"properties","struct":[{"name":"feature_type","dtype":"string"},{"name":"subtype","dtype":"string"},{"name":"uid","dtype":"string"}]},{"name":"wkt","dtype":"string"}]},{"name":"xy","list":[{"name":"properties","struct":[{"name":"feature_type","dtype":"string"},{"name":"subtype","dtype":"string"},{"name":"uid","dtype":"string"}]},{"name":"wkt","dtype":"string"}]}]},{"name":"metadata","struct":[{"name":"capture_date","dtype":"string"},{"name":"catalog_id","dtype":"string"},{"name":"disaster","dtype":"string"},{"name":"disaster_type","dtype":"string"},{"name":"gsd","dtype":"float64"},{"name":"height","dtype":"int64"},{"name":"id","dtype":"string"},{"name":"img_name","dtype":"string"},{"name":"off_nadir_angle","dtype":"float64"},{"name":"original_height","dtype":"int64"},{"name":"original_width","dtype":"int64"},{"name":"pan_resolution","dtype":"float64"},{"name":"provider_asset_type","dtype":"string"},{"name":"sensor","dtype":"string"},{"name":"sun_azimuth","dtype":"float64"},{"name":"sun_elevation","dtype":"float64"},{"name":"target_azimuth","dtype":"float64"},{"name":"width","dtype":"int64"}]}]}]


hub_id: facat/idea-200
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["query","class","response_gpt35","response_gpt4"]
features:
[{"name":"query","dtype":"string"},{"name":"class","dtype":"string"},{"name":"response_gpt35","dtype":"string"},{"name":"response_gpt4","dtype":"string"}]


hub_id: christti/squad-augmented-v2
license: ["cc-by-4.0"]
language: ["en"]
config_name: plain_text
column_names: ["id","title","context","question","answers"]
tags:
["task_categories:question-answering","task_ids:extractive-qa","annotations_creators:crowdsourced","language_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:extended|wikipedia","language:en","license:cc-by-4.0","size_categories:100K<n<1M","json","text","datasets","mlcroissant","region:us","croissant"]


hub_id: rjhuang/my_wb_preferences
license: ["apache-2.0"]
language: ["zh"]
config_name: default
column_names: ["author","content","response"]
tags:
["task_categories:text-classification","language:zh","license:apache-2.0","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","social","croissant"]

features:
[{"name":"author","dtype":"string"},{"name":"content","dtype":"string"},{"name":"response","dtype":"string"}]


hub_id: NguyenVanHieu1605/NER-VN
license: []
language: []
config_name: default
column_names: ["tokens","NE_labels","nested_NE_labels"]
features:
[{"name":"tokens","sequence":"string"},{"name":"NE_labels","sequence":"int64"},{"name":"nested_NE_labels","sequence":"int64"}]


hub_id: lewisbails/esg-fine-risks
license: []
language: []
config_name: default
column_names: ["id","target","context","system"]
features:
[{"name":"id","dtype":"string"},{"name":"target","dtype":"string"},{"name":"context","dtype":"string"},{"name":"system","dtype":"string"}]


hub_id: danielz01/fMoW
license: []
language: []
config_name: WILDS
column_names:
["image","label","domain_labels","domain_labels_readable","split","img_filename","img_path","spatial_reference","epsg","category","visible","img_width","img_height","country_code","cloud_cover","timestamp","lat","lon","region","y","year"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"airport","1":"airport_hangar","2":"airport_terminal","3":"amusement_park","4":"aquaculture","5":"archaeological_site","6":"barn","7":"border_checkpoint","8":"burial_site","9":"car_dealership","10":"construction_site","11":"crop_field","12":"dam","13":"debris_or_rubble","14":"educational_institution","15":"electric_substation","16":"factory_or_powerplant","17":"fire_station","18":"flooded_road","19":"fountain","20":"gas_station","21":"golf_course","22":"ground_transportation_station","23":"helipad","24":"hospital","25":"impoverished_settlement","26":"interchange","27":"lake_or_pond","28":"lighthouse","29":"military_facility","30":"multi-unit_residential","31":"nuclear_powerplant","32":"office_building","33":"oil_or_gas_facility","34":"park","35":"parking_lot_or_garage","36":"place_of_worship","37":"police_station","38":"port","39":"prison","40":"race_track","41":"railway_bridge","42":"recreational_facility","43":"road_bridge","44":"runway","45":"shipyard","46":"shopping_mall","47":"single-unit_residential","48":"smokestack","49":"solar_farm","50":"space_facility","51":"stadium","52":"storage_tank","53":"surface_mine","54":"swimming_pool","55":"toll_booth","56":"tower","57":"tunnel_opening","58":"waste_disposal","59":"water_treatment_facility","60":"wind_farm","61":"zoo"}}}},{"name":"domain_labels","sequence":"int64"},{"name":"domain_labels_readable","struct":[{"name":"from_source_domain","dtype":"bool"},{"name":"region","dtype":"string"},{"name":"y","dtype":"null"},{"name":"year","dtype":"int64"}]},{"name":"split","dtype":"string"},{"name":"img_filename","dtype":"string"},{"name":"img_path","dtype":"string"},{"name":"spatial_reference","dtype":"string"},{"name":"epsg","dtype":"int64"},{"name":"category","dtype":"string"},{"name":"visible","dtype":"bool"},{"name":"img_width","dtype":"int64"},{"name":"img_height","dtype":"int64"},{"name":"country_code","dtype":"string"},{"name":"cloud_cover","dtype":"int64"},{"name":"timestamp","dtype":"string"},{"name":"lat","dtype":"float64"},{"name":"lon","dtype":"float64"},{"name":"region","dtype":"int64"},{"name":"y","dtype":"int64"},{"name":"year","dtype":"float64"}]


hub_id: laitrongduc/math_train_zl
license: []
language: []
config_name: default
column_names: ["id","question","choices","explanation","answer"]
features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"choices","dtype":"string"},{"name":"explanation","dtype":"string"},{"name":"answer","dtype":"string"}]


hub_id: CPJKU/openmic
license: []
language: []
config_name: default
column_names: ["filename","true","mask","mp3_bytes"]
features:
[{"name":"filename","dtype":"string"},{"name":"true","sequence":"float32","length":20},{"name":"mask","sequence":"int32","length":20},{"name":"mp3_bytes","dtype":"binary"}]


hub_id: Subhadeep/common_voice_11_0_hi_pseudo_labelled
license: []
language: []
config_name: hi
column_names:
["client_id","path","audio","sentence","up_votes","down_votes","age","gender","accent","locale","segment","whisper_transcript"]

features:
[{"name":"client_id","dtype":"string"},{"name":"path","dtype":"string"},{"name":"audio","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":"accent","dtype":"string"},{"name":"locale","dtype":"string"},{"name":"segment","dtype":"string"},{"name":"whisper_transcript","sequence":"int64"}]


hub_id: PaulTran/translated_math
license: []
language: []
config_name: default
column_names: ["answer","explanation","choices","question","id"]
features:
[{"name":"answer","dtype":"string"},{"name":"explanation","dtype":"string"},{"name":"choices","sequence":"string"},{"name":"question","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: HgThinker/Music_Gen
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:
[{"name":"ytid","dtype":"string"},{"name":"start_s","dtype":"int64"},{"name":"end_s","dtype":"int64"},{"name":"audioset_positive_labels","dtype":"string"},{"name":"aspect_list","dtype":"string"},{"name":"caption","dtype":"string"},{"name":"author_id","dtype":"int64"},{"name":"is_balanced_subset","dtype":"bool"},{"name":"is_audioset_eval","dtype":"bool"},{"name":"audio","struct":[{"name":"bytes","dtype":"null"},{"name":"path","dtype":"string"}]},{"name":"download_status","dtype":"bool"}]


hub_id: FudanSELab/SO_KGXQR_TRAIN
license: ["mit"]
language: ["en"]
config_name: positive
column_names: ["question1","question2"]
features: [{"name":"question1","dtype":"string"},{"name":"question2","dtype":"string"}]
tags:
["language:en","license:mit","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: nourheshamshaheen/ICPR_pipeline3_small
license: []
language: []
config_name: default
column_names: ["image","label","true_label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"area","1":"heatmap","2":"horizontal_bar","3":"horizontal_interval","4":"line","5":"manhattan","6":"map","7":"pie","8":"scatter","9":"scatter-line","10":"surface","11":"venn","12":"vertical_bar","13":"vertical_box","14":"vertical_interval"}}}},{"name":"true_label","dtype":{"class_label":{"names":{"0":"area","1":"heatmap","2":"horizontal_bar","3":"horizontal_interval","4":"manhattan","5":"map","6":"other","7":"pie","8":"surface","9":"venn","10":"vertical_box","11":"vertical_interval"}}}}]


hub_id: DynamicSuperb/EmotionalSpeechAudioClassification_RAVDESS-EmotionalSound
license: ["cc-by-nc-sa-4.0"]
language: []
config_name: default
column_names: ["file","audio","instruction","label"]
tags:
["license:cc-by-nc-sa-4.0","size_categories:1K<n<10K","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: FlyingFishzzz/des_mesh
license: []
language: []
config_name: default
column_names: ["target","prompt","mesh"]
features:
[{"name":"target","dtype":"image"},{"name":"prompt","dtype":"string"},{"name":"mesh","dtype":"image"}]


hub_id: PaulLoisel/wcr_base
license: []
language: []
config_name: default
column_names:
["Age","Title","Review Text","Rating","label","Positive Feedback Count","Division Name","Department Name","Class Name"]

features:
[{"name":"Age","dtype":"int64"},{"name":"Title","dtype":"string"},{"name":"Review Text","dtype":"string"},{"name":"Rating","dtype":"int64"},{"name":"label","dtype":"int64"},{"name":"Positive Feedback Count","dtype":"int64"},{"name":"Division Name","dtype":"string"},{"name":"Department Name","dtype":"string"},{"name":"Class Name","dtype":"string"}]


hub_id: hieunguyen1053/tranlation_envi
license: []
language: []
config_name: default
column_names: ["en","vi","id","fewshot_samples"]
features:
[{"name":"en","dtype":"string"},{"name":"vi","dtype":"string"},{"name":"id","dtype":"string"},{"name":"fewshot_samples","list":[{"name":"en","dtype":"string"},{"name":"vi","dtype":"string"}]}]


hub_id: danjacobellis/imagenet_dino
tags: ["size_categories:1K<n<10K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["label","cls_token","patch_tokens"]
features:
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salamander, Ambystoma maculatum","29":"axolotl, mud puppy, Ambystoma mexicanum","30":"bullfrog, Rana catesbeiana","31":"tree frog, tree-frog","32":"tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui","33":"loggerhead, loggerhead turtle, Caretta caretta","34":"leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea","35":"mud turtle","36":"terrapin","37":"box turtle, box tortoise","38":"banded gecko","39":"common iguana, iguana, Iguana iguana","40":"American chameleon, anole, Anolis carolinensis","41":"whiptail, whiptail lizard","42":"agama","43":"frilled lizard, Chlamydosaurus kingi","44":"alligator lizard","45":"Gila monster, Heloderma suspectum","46":"green lizard, Lacerta viridis","47":"African chameleon, Chamaeleo chamaeleon","48":"Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis","49":"African crocodile, Nile crocodile, Crocodylus niloticus","50":"American alligator, Alligator mississipiensis","51":"triceratops","52":"thunder snake, worm snake, Carphophis amoenus","53":"ringneck snake, ring-necked snake, ring snake","54":"hognose snake, puff adder, sand viper","55":"green snake, grass snake","56":"king snake, kingsnake","57":"garter snake, grass snake","58":"water snake","59":"vine snake","60":"night snake, Hypsiglena torquata","61":"boa constrictor, Constrictor constrictor","62":"rock python, rock snake, Python sebae","63":"Indian cobra, Naja naja","64":"green mamba","65":"sea snake","66":"horned viper, cerastes, sand viper, horned asp, Cerastes cornutus","67":"diamondback, diamondback rattlesnake, Crotalus adamanteus","68":"sidewinder, horned rattlesnake, Crotalus cerastes","69":"trilobite","70":"harvestman, daddy longlegs, Phalangium opilio","71":"scorpion","72":"black and gold garden spider, Argiope aurantia","73":"barn spider, Araneus cavaticus","74":"garden spider, Aranea diademata","75":"black widow, Latrodectus mactans","76":"tarantula","77":"wolf spider, hunting spider","78":"tick","79":"centipede","80":"black grouse","81":"ptarmigan","82":"ruffed grouse, partridge, Bonasa umbellus","83":"prairie chicken, prairie grouse, prairie fowl","84":"peacock","85":"quail","86":"partridge","87":"African grey, African gray, Psittacus erithacus","88":"macaw","89":"sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita","90":"lorikeet","91":"coucal","92":"bee eater","93":"hornbill","94":"hummingbird","95":"jacamar","96":"toucan","97":"drake","98":"red-breasted merganser, Mergus serrator","99":"goose","100":"black swan, Cygnus atratus","101":"tusker","102":"echidna, spiny anteater, anteater","103":"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus","104":"wallaby, brush kangaroo","105":"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus","106":"wombat","107":"jellyfish","108":"sea anemone, anemone","109":"brain coral","110":"flatworm, platyhelminth","111":"nematode, nematode worm, roundworm","112":"conch","113":"snail","114":"slug","115":"sea slug, nudibranch","116":"chiton, coat-of-mail shell, sea cradle, polyplacophore","117":"chambered nautilus, pearly nautilus, nautilus","118":"Dungeness crab, Cancer magister","119":"rock crab, Cancer irroratus","120":"fiddler crab","121":"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica","122":"American lobster, Northern lobster, Maine lobster, Homarus americanus","123":"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish","124":"crayfish, crawfish, crawdad, crawdaddy","125":"hermit crab","126":"isopod","127":"white stork, Ciconia ciconia","128":"black stork, Ciconia nigra","129":"spoonbill","130":"flamingo","131":"little blue heron, Egretta caerulea","132":"American egret, great white heron, Egretta albus","133":"bittern","134":"crane","135":"limpkin, Aramus pictus","136":"European gallinule, Porphyrio porphyrio","137":"American coot, marsh hen, mud hen, water hen, Fulica americana","138":"bustard","139":"ruddy turnstone, Arenaria interpres","140":"red-backed sandpiper, dunlin, Erolia alpina","141":"redshank, Tringa totanus","142":"dowitcher","143":"oystercatcher, oyster catcher","144":"pelican","145":"king penguin, Aptenodytes patagonica","146":"albatross, mollymawk","147":"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus","148":"killer whale, killer, orca, grampus, sea wolf, Orcinus orca","149":"dugong, Dugong dugon","150":"sea lion","151":"Chihuahua","152":"Japanese spaniel","153":"Maltese dog, Maltese terrier, Maltese","154":"Pekinese, Pekingese, Peke","155":"Shih-Tzu","156":"Blenheim spaniel","157":"papillon","158":"toy terrier","159":"Rhodesian ridgeback","160":"Afghan hound, Afghan","161":"basset, basset hound","162":"beagle","163":"bloodhound, sleuthhound","164":"bluetick","165":"black-and-tan coonhound","166":"Walker hound, Walker foxhound","167":"English foxhound","168":"redbone","169":"borzoi, Russian wolfhound","170":"Irish wolfhound","171":"Italian greyhound","172":"whippet","173":"Ibizan hound, Ibizan Podenco","174":"Norwegian elkhound, elkhound","175":"otterhound, otter hound","176":"Saluki, gazelle hound","177":"Scottish deerhound, deerhound","178":"Weimaraner","179":"Staffordshire bullterrier, Staffordshire bull terrier","180":"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier","181":"Bedlington terrier","182":"Border terrier","183":"Kerry blue terrier","184":"Irish terrier","185":"Norfolk terrier","186":"Norwich terrier","187":"Yorkshire terrier","188":"wire-haired fox terrier","189":"Lakeland terrier","190":"Sealyham terrier, Sealyham","191":"Airedale, Airedale terrier","192":"cairn, cairn terrier","193":"Australian terrier","194":"Dandie Dinmont, Dandie Dinmont terrier","195":"Boston bull, Boston terrier","196":"miniature schnauzer","197":"giant schnauzer","198":"standard schnauzer","199":"Scotch terrier, Scottish terrier, Scottie","200":"Tibetan terrier, chrysanthemum dog","201":"silky terrier, Sydney silky","202":"soft-coated wheaten terrier","203":"West Highland white terrier","204":"Lhasa, Lhasa apso","205":"flat-coated retriever","206":"curly-coated retriever","207":"golden retriever","208":"Labrador retriever","209":"Chesapeake Bay retriever","210":"German short-haired pointer","211":"vizsla, Hungarian pointer","212":"English setter","213":"Irish setter, red setter","214":"Gordon setter","215":"Brittany spaniel","216":"clumber, clumber spaniel","217":"English springer, English springer spaniel","218":"Welsh springer spaniel","219":"cocker spaniel, English cocker spaniel, cocker","220":"Sussex spaniel","221":"Irish water spaniel","222":"kuvasz","223":"schipperke","224":"groenendael","225":"malinois","226":"briard","227":"kelpie","228":"komondor","229":"Old English sheepdog, bobtail","230":"Shetland sheepdog, Shetland sheep dog, Shetland","231":"collie","232":"Border collie","233":"Bouvier des Flandres, Bouviers des Flandres","234":"Rottweiler","235":"German shepherd, German shepherd dog, German police dog, alsatian","236":"Doberman, Doberman pinscher","237":"miniature pinscher","238":"Greater Swiss Mountain dog","239":"Bernese mountain dog","240":"Appenzeller","241":"EntleBucher","242":"boxer","243":"bull mastiff","244":"Tibetan mastiff","245":"French bulldog","246":"Great Dane","247":"Saint Bernard, St Bernard","248":"Eskimo dog, husky","249":"malamute, malemute, Alaskan malamute","250":"Siberian husky","251":"dalmatian, coach dog, carriage dog","252":"affenpinscher, monkey pinscher, monkey dog","253":"basenji","254":"pug, pug-dog","255":"Leonberg","256":"Newfoundland, Newfoundland dog","257":"Great Pyrenees","258":"Samoyed, Samoyede","259":"Pomeranian","260":"chow, chow chow","261":"keeshond","262":"Brabancon griffon","263":"Pembroke, Pembroke Welsh corgi","264":"Cardigan, Cardigan Welsh corgi","265":"toy poodle","266":"miniature poodle","267":"standard poodle","268":"Mexican hairless","269":"timber wolf, grey wolf, gray wolf, Canis lupus","270":"white wolf, Arctic wolf, Canis lupus tundrarum","271":"red wolf, maned wolf, Canis rufus, Canis niger","272":"coyote, prairie wolf, brush wolf, Canis latrans","273":"dingo, warrigal, warragal, Canis dingo","274":"dhole, Cuon alpinus","275":"African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus","276":"hyena, hyaena","277":"red fox, Vulpes vulpes","278":"kit fox, Vulpes macrotis","279":"Arctic fox, white fox, Alopex lagopus","280":"grey fox, gray fox, Urocyon cinereoargenteus","281":"tabby, tabby cat","282":"tiger cat","283":"Persian cat","284":"Siamese cat, Siamese","285":"Egyptian cat","286":"cougar, puma, catamount, mountain lion, painter, panther, Felis concolor","287":"lynx, catamount","288":"leopard, Panthera pardus","289":"snow leopard, ounce, Panthera uncia","290":"jaguar, panther, Panthera onca, Felis onca","291":"lion, king of beasts, Panthera leo","292":"tiger, Panthera tigris","293":"cheetah, chetah, Acinonyx jubatus","294":"brown bear, bruin, Ursus arctos","295":"American black bear, black bear, Ursus americanus, Euarctos americanus","296":"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus","297":"sloth bear, Melursus ursinus, Ursus ursinus","298":"mongoose","299":"meerkat, mierkat","300":"tiger beetle","301":"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle","302":"ground beetle, carabid beetle","303":"long-horned beetle, longicorn, longicorn beetle","304":"leaf beetle, chrysomelid","305":"dung beetle","306":"rhinoceros beetle","307":"weevil","308":"fly","309":"bee","310":"ant, emmet, pismire","311":"grasshopper, hopper","312":"cricket","313":"walking stick, walkingstick, stick insect","314":"cockroach, roach","315":"mantis, mantid","316":"cicada, cicala","317":"leafhopper","318":"lacewing, lacewing fly","319":"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk","320":"damselfly","321":"admiral","322":"ringlet, ringlet butterfly","323":"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus","324":"cabbage butterfly","325":"sulphur butterfly, sulfur butterfly","326":"lycaenid, lycaenid butterfly","327":"starfish, sea star","328":"sea urchin","329":"sea cucumber, holothurian","330":"wood rabbit, cottontail, cottontail rabbit","331":"hare","332":"Angora, Angora rabbit","333":"hamster","334":"porcupine, hedgehog","335":"fox squirrel, eastern fox squirrel, Sciurus niger","336":"marmot","337":"beaver","338":"guinea pig, Cavia cobaya","339":"sorrel","340":"zebra","341":"hog, pig, grunter, squealer, Sus scrofa","342":"wild boar, boar, Sus scrofa","343":"warthog","344":"hippopotamus, hippo, river horse, Hippopotamus amphibius","345":"ox","346":"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis","347":"bison","348":"ram, tup","349":"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis","350":"ibex, Capra ibex","351":"hartebeest","352":"impala, Aepyceros melampus","353":"gazelle","354":"Arabian camel, dromedary, Camelus dromedarius","355":"llama","356":"weasel","357":"mink","358":"polecat, fitch, foulmart, foumart, Mustela putorius","359":"black-footed ferret, ferret, Mustela nigripes","360":"otter","361":"skunk, polecat, wood pussy","362":"badger","363":"armadillo","364":"three-toed sloth, ai, Bradypus tridactylus","365":"orangutan, orang, orangutang, Pongo pygmaeus","366":"gorilla, Gorilla gorilla","367":"chimpanzee, chimp, Pan troglodytes","368":"gibbon, Hylobates lar","369":"siamang, Hylobates syndactylus, Symphalangus syndactylus","370":"guenon, guenon monkey","371":"patas, hussar monkey, Erythrocebus patas","372":"baboon","373":"macaque","374":"langur","375":"colobus, colobus monkey","376":"proboscis monkey, Nasalis larvatus","377":"marmoset","378":"capuchin, ringtail, Cebus capucinus","379":"howler monkey, howler","380":"titi, titi monkey","381":"spider monkey, Ateles geoffroyi","382":"squirrel monkey, Saimiri sciureus","383":"Madagascar cat, ring-tailed lemur, Lemur catta","384":"indri, indris, Indri indri, Indri brevicaudatus","385":"Indian elephant, Elephas maximus","386":"African elephant, Loxodonta africana","387":"lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens","388":"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca","389":"barracouta, snoek","390":"eel","391":"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch","392":"rock beauty, Holocanthus tricolor","393":"anemone fish","394":"sturgeon","395":"gar, garfish, garpike, billfish, Lepisosteus osseus","396":"lionfish","397":"puffer, pufferfish, blowfish, globefish","398":"abacus","399":"abaya","400":"academic gown, academic robe, judge's robe","401":"accordion, piano accordion, squeeze box","402":"acoustic guitar","403":"aircraft carrier, carrier, flattop, attack aircraft carrier","404":"airliner","405":"airship, dirigible","406":"altar","407":"ambulance","408":"amphibian, amphibious vehicle","409":"analog clock","410":"apiary, bee house","411":"apron","412":"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin","413":"assault rifle, assault gun","414":"backpack, back pack, knapsack, packsack, rucksack, haversack","415":"bakery, bakeshop, bakehouse","416":"balance beam, beam","417":"balloon","418":"ballpoint, ballpoint pen, ballpen, Biro","419":"Band Aid","420":"banjo","421":"bannister, banister, balustrade, balusters, handrail","422":"barbell","423":"barber chair","424":"barbershop","425":"barn","426":"barometer","427":"barrel, cask","428":"barrow, garden cart, lawn cart, wheelbarrow","429":"baseball","430":"basketball","431":"bassinet","432":"bassoon","433":"bathing cap, swimming cap","434":"bath towel","435":"bathtub, bathing tub, bath, tub","436":"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon","437":"beacon, lighthouse, beacon light, pharos","438":"beaker","439":"bearskin, busby, shako","440":"beer bottle","441":"beer glass","442":"bell cote, bell cot","443":"bib","444":"bicycle-built-for-two, tandem bicycle, tandem","445":"bikini, two-piece","446":"binder, ring-binder","447":"binoculars, field glasses, opera glasses","448":"birdhouse","449":"boathouse","450":"bobsled, bobsleigh, bob","451":"bolo tie, bolo, bola tie, bola","452":"bonnet, poke bonnet","453":"bookcase","454":"bookshop, bookstore, bookstall","455":"bottlecap","456":"bow","457":"bow tie, bow-tie, bowtie","458":"brass, memorial tablet, plaque","459":"brassiere, bra, bandeau","460":"breakwater, groin, groyne, mole, bulwark, seawall, jetty","461":"breastplate, aegis, egis","462":"broom","463":"bucket, pail","464":"buckle","465":"bulletproof vest","466":"bullet train, bullet","467":"butcher shop, meat market","468":"cab, hack, taxi, taxicab","469":"caldron, cauldron","470":"candle, taper, wax light","471":"cannon","472":"canoe","473":"can opener, tin opener","474":"cardigan","475":"car mirror","476":"carousel, carrousel, merry-go-round, roundabout, whirligig","477":"carpenter's kit, tool kit","478":"carton","479":"car wheel","480":"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM","481":"cassette","482":"cassette player","483":"castle","484":"catamaran","485":"CD player","486":"cello, violoncello","487":"cellular telephone, cellular phone, cellphone, cell, mobile phone","488":"chain","489":"chainlink fence","490":"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour","491":"chain saw, chainsaw","492":"chest","493":"chiffonier, commode","494":"chime, bell, gong","495":"china cabinet, china closet","496":"Christmas stocking","497":"church, church building","498":"cinema, movie theater, movie theatre, movie house, picture palace","499":"cleaver, meat cleaver, chopper","500":"cliff dwelling","501":"cloak","502":"clog, geta, patten, sabot","503":"cocktail shaker","504":"coffee mug","505":"coffeepot","506":"coil, spiral, volute, whorl, helix","507":"combination lock","508":"computer keyboard, keypad","509":"confectionery, confectionary, candy store","510":"container ship, containership, container vessel","511":"convertible","512":"corkscrew, bottle screw","513":"cornet, horn, trumpet, trump","514":"cowboy boot","515":"cowboy hat, ten-gallon hat","516":"cradle","517":"crane2","518":"crash helmet","519":"crate","520":"crib, cot","521":"Crock Pot","522":"croquet ball","523":"crutch","524":"cuirass","525":"dam, dike, dyke","526":"desk","527":"desktop computer","528":"dial telephone, dial phone","529":"diaper, nappy, napkin","530":"digital clock","531":"digital watch","532":"dining table, board","533":"dishrag, dishcloth","534":"dishwasher, dish washer, dishwashing machine","535":"disk brake, disc brake","536":"dock, dockage, docking facility","537":"dogsled, dog sled, dog sleigh","538":"dome","539":"doormat, welcome mat","540":"drilling platform, offshore rig","541":"drum, membranophone, tympan","542":"drumstick","543":"dumbbell","544":"Dutch oven","545":"electric fan, blower","546":"electric guitar","547":"electric locomotive","548":"entertainment center","549":"envelope","550":"espresso maker","551":"face powder","552":"feather boa, boa","553":"file, file cabinet, filing cabinet","554":"fireboat","555":"fire engine, fire truck","556":"fire screen, fireguard","557":"flagpole, flagstaff","558":"flute, transverse flute","559":"folding chair","560":"football helmet","561":"forklift","562":"fountain","563":"fountain pen","564":"four-poster","565":"freight car","566":"French horn, horn","567":"frying pan, frypan, skillet","568":"fur coat","569":"garbage truck, dustcart","570":"gasmask, respirator, gas helmet","571":"gas pump, gasoline pump, petrol pump, island dispenser","572":"goblet","573":"go-kart","574":"golf ball","575":"golfcart, golf cart","576":"gondola","577":"gong, tam-tam","578":"gown","579":"grand piano, grand","580":"greenhouse, nursery, glasshouse","581":"grille, radiator grille","582":"grocery store, grocery, food market, market","583":"guillotine","584":"hair slide","585":"hair spray","586":"half track","587":"hammer","588":"hamper","589":"hand blower, blow dryer, blow drier, hair dryer, hair drier","590":"hand-held computer, hand-held microcomputer","591":"handkerchief, hankie, hanky, hankey","592":"hard disc, hard disk, fixed disk","593":"harmonica, mouth organ, harp, mouth harp","594":"harp","595":"harvester, reaper","596":"hatchet","597":"holster","598":"home theater, home theatre","599":"honeycomb","600":"hook, claw","601":"hoopskirt, crinoline","602":"horizontal bar, high bar","603":"horse cart, horse-cart","604":"hourglass","605":"iPod","606":"iron, smoothing iron","607":"jack-o'-lantern","608":"jean, blue jean, denim","609":"jeep, landrover","610":"jersey, T-shirt, tee shirt","611":"jigsaw puzzle","612":"jinrikisha, ricksha, rickshaw","613":"joystick","614":"kimono","615":"knee pad","616":"knot","617":"lab coat, laboratory coat","618":"ladle","619":"lampshade, lamp shade","620":"laptop, laptop computer","621":"lawn mower, mower","622":"lens cap, lens cover","623":"letter opener, paper knife, paperknife","624":"library","625":"lifeboat","626":"lighter, light, igniter, ignitor","627":"limousine, limo","628":"liner, ocean liner","629":"lipstick, lip rouge","630":"Loafer","631":"lotion","632":"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system","633":"loupe, jeweler's loupe","634":"lumbermill, sawmill","635":"magnetic compass","636":"mailbag, postbag","637":"mailbox, letter box","638":"maillot","639":"maillot, tank suit","640":"manhole cover","641":"maraca","642":"marimba, xylophone","643":"mask","644":"matchstick","645":"maypole","646":"maze, labyrinth","647":"measuring cup","648":"medicine chest, medicine cabinet","649":"megalith, megalithic structure","650":"microphone, mike","651":"microwave, microwave oven","652":"military uniform","653":"milk can","654":"minibus","655":"miniskirt, mini","656":"minivan","657":"missile","658":"mitten","659":"mixing bowl","660":"mobile home, manufactured home","661":"Model T","662":"modem","663":"monastery","664":"monitor","665":"moped","666":"mortar","667":"mortarboard","668":"mosque","669":"mosquito net","670":"motor scooter, scooter","671":"mountain bike, all-terrain bike, off-roader","672":"mountain tent","673":"mouse, computer mouse","674":"mousetrap","675":"moving van","676":"muzzle","677":"nail","678":"neck brace","679":"necklace","680":"nipple","681":"notebook, notebook computer","682":"obelisk","683":"oboe, hautboy, hautbois","684":"ocarina, sweet potato","685":"odometer, hodometer, mileometer, milometer","686":"oil filter","687":"organ, pipe organ","688":"oscilloscope, scope, cathode-ray oscilloscope, CRO","689":"overskirt","690":"oxcart","691":"oxygen mask","692":"packet","693":"paddle, boat paddle","694":"paddlewheel, paddle wheel","695":"padlock","696":"paintbrush","697":"pajama, pyjama, pj's, jammies","698":"palace","699":"panpipe, pandean pipe, syrinx","700":"paper towel","701":"parachute, chute","702":"parallel bars, bars","703":"park bench","704":"parking meter","705":"passenger car, coach, carriage","706":"patio, terrace","707":"pay-phone, pay-station","708":"pedestal, plinth, footstall","709":"pencil box, pencil case","710":"pencil sharpener","711":"perfume, essence","712":"Petri dish","713":"photocopier","714":"pick, plectrum, plectron","715":"pickelhaube","716":"picket fence, paling","717":"pickup, pickup truck","718":"pier","719":"piggy bank, penny bank","720":"pill bottle","721":"pillow","722":"ping-pong ball","723":"pinwheel","724":"pirate, pirate ship","725":"pitcher, ewer","726":"plane, carpenter's plane, woodworking plane","727":"planetarium","728":"plastic bag","729":"plate rack","730":"plow, plough","731":"plunger, plumber's helper","732":"Polaroid camera, Polaroid Land camera","733":"pole","734":"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria","735":"poncho","736":"pool table, billiard table, snooker table","737":"pop bottle, soda bottle","738":"pot, flowerpot","739":"potter's wheel","740":"power drill","741":"prayer rug, prayer mat","742":"printer","743":"prison, prison house","744":"projectile, missile","745":"projector","746":"puck, hockey puck","747":"punching bag, punch bag, punching ball, punchball","748":"purse","749":"quill, quill pen","750":"quilt, comforter, comfort, puff","751":"racer, race car, racing car","752":"racket, racquet","753":"radiator","754":"radio, wireless","755":"radio telescope, radio reflector","756":"rain barrel","757":"recreational vehicle, RV, R.V.","758":"reel","759":"reflex camera","760":"refrigerator, icebox","761":"remote control, remote","762":"restaurant, eating house, eating place, eatery","763":"revolver, six-gun, six-shooter","764":"rifle","765":"rocking chair, rocker","766":"rotisserie","767":"rubber eraser, rubber, pencil eraser","768":"rugby ball","769":"rule, ruler","770":"running shoe","771":"safe","772":"safety pin","773":"saltshaker, salt shaker","774":"sandal","775":"sarong","776":"sax, saxophone","777":"scabbard","778":"scale, weighing machine","779":"school bus","780":"schooner","781":"scoreboard","782":"screen, CRT screen","783":"screw","784":"screwdriver","785":"seat belt, seatbelt","786":"sewing machine","787":"shield, buckler","788":"shoe shop, shoe-shop, shoe store","789":"shoji","790":"shopping basket","791":"shopping cart","792":"shovel","793":"shower cap","794":"shower curtain","795":"ski","796":"ski mask","797":"sleeping bag","798":"slide rule, slipstick","799":"sliding door","800":"slot, one-armed bandit","801":"snorkel","802":"snowmobile","803":"snowplow, snowplough","804":"soap dispenser","805":"soccer ball","806":"sock","807":"solar dish, solar collector, solar furnace","808":"sombrero","809":"soup bowl","810":"space bar","811":"space heater","812":"space shuttle","813":"spatula","814":"speedboat","815":"spider web, spider's web","816":"spindle","817":"sports car, sport car","818":"spotlight, spot","819":"stage","820":"steam locomotive","821":"steel arch bridge","822":"steel drum","823":"stethoscope","824":"stole","825":"stone wall","826":"stopwatch, stop watch","827":"stove","828":"strainer","829":"streetcar, tram, tramcar, trolley, trolley car","830":"stretcher","831":"studio couch, day bed","832":"stupa, tope","833":"submarine, pigboat, sub, U-boat","834":"suit, suit of clothes","835":"sundial","836":"sunglass","837":"sunglasses, dark glasses, shades","838":"sunscreen, sunblock, sun blocker","839":"suspension bridge","840":"swab, swob, mop","841":"sweatshirt","842":"swimming trunks, bathing trunks","843":"swing","844":"switch, electric switch, electrical switch","845":"syringe","846":"table lamp","847":"tank, army tank, armored combat vehicle, armoured combat vehicle","848":"tape player","849":"teapot","850":"teddy, teddy bear","851":"television, television system","852":"tennis ball","853":"thatch, thatched roof","854":"theater curtain, theatre curtain","855":"thimble","856":"thresher, thrasher, threshing machine","857":"throne","858":"tile roof","859":"toaster","860":"tobacco shop, tobacconist shop, tobacconist","861":"toilet seat","862":"torch","863":"totem pole","864":"tow truck, tow car, wrecker","865":"toyshop","866":"tractor","867":"trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi","868":"tray","869":"trench coat","870":"tricycle, trike, velocipede","871":"trimaran","872":"tripod","873":"triumphal arch","874":"trolleybus, trolley coach, trackless trolley","875":"trombone","876":"tub, vat","877":"turnstile","878":"typewriter keyboard","879":"umbrella","880":"unicycle, monocycle","881":"upright, upright piano","882":"vacuum, vacuum cleaner","883":"vase","884":"vault","885":"velvet","886":"vending machine","887":"vestment","888":"viaduct","889":"violin, fiddle","890":"volleyball","891":"waffle iron","892":"wall clock","893":"wallet, billfold, notecase, pocketbook","894":"wardrobe, closet, press","895":"warplane, military plane","896":"washbasin, handbasin, washbowl, lavabo, wash-hand basin","897":"washer, automatic washer, washing machine","898":"water bottle","899":"water jug","900":"water tower","901":"whiskey jug","902":"whistle","903":"wig","904":"window screen","905":"window shade","906":"Windsor tie","907":"wine bottle","908":"wing","909":"wok","910":"wooden spoon","911":"wool, woolen, woollen","912":"worm fence, snake fence, snake-rail fence, Virginia fence","913":"wreck","914":"yawl","915":"yurt","916":"web site, website, internet site, site","917":"comic book","918":"crossword puzzle, crossword","919":"street sign","920":"traffic light, traffic signal, stoplight","921":"book jacket, dust cover, dust 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hub_id: pnadel/iliad_odyssey_aligned
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hub_id: arieg/bw_spec_cls_100_00_large_200
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hub_id: mrm8488/h4_no_robots
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hub_id: eitanturok/ms-marco
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hub_id: gagan3012/convfinqa-updated
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language: []
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hub_id: aatherton2024/heartbeat_images_final_project
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hub_id: Vinayakagude/cherryleaves
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language: []
config_name: default
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hub_id: H4438/full-md-universities
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","date","university","content","alias"]
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hub_id: H4438/full-text-universities
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
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hub_id: nlplabtdtu/s-c4
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language: []
config_name: default
column_names: ["url","id","text","perplexity"]
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hub_id: joshuapsa/gpt-generated-news-paragraphs-v1.1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
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hub_id: vietgpt/arxiv
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language: []
config_name: default
column_names: ["text","meta"]
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hub_id: H4438/dict-universities
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
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hub_id: gnumanth/licenses
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["other_names","keywords","text","identifiers","name","id","links","superseded_by"]
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hub_id: nguyenthanhdo/Tiger-MathInstruct
license: []
language: []
config_name: default
column_names: ["source","output","instruction"]
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hub_id: rkdeva/Dermnet-Test-4
license: []
language: []
config_name: default
column_names: ["image","label","class"]
features:
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hub_id: smcproject/MSC
license: ["cc-by-4.0"]
language: ["ml"]
config_name: default
tags:
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hub_id: tyzhu/squad_qa_rare_v5_full
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language: []
config_name: default
column_names: ["id","title","context","question","answers","answer","context_id","inputs","targets"]
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hub_id: tyzhu/squad_qa_wrong_rare_v5_full
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language: []
config_name: default
column_names: ["id","title","context","question","answers","answer","context_id","correct_id","inputs","targets"]
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hub_id: Xnhyacinth/NQ-Image
license: ["mit"]
language: []
config_name: ctxs5
column_names: ["id","answers","question","compressed_prompt","ctxs"]
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hub_id: vietgpt/stackexchange
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language: []
config_name: default
column_names: ["text","meta"]
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hub_id: epfl-llm/guidelines
license: ["other"]
language: ["en"]
config_name: default
column_names: ["id","source","title","clean_text","raw_text","url","overview"]
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hub_id: argilla/notus-uf-dpo-full
license: []
language: []
config_name: default
column_names:
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hub_id: argilla/notus-uf-dpo-closest-rejected
license: []
language: []
config_name: default
column_names:
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hub_id: argilla/notus-uf-dpo-multibinarized
license: []
language: []
config_name: default
column_names:
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hub_id: trueorfalse441/korean_hate_speech_copy
license: ["cc-by-sa-4.0"]
language: ["ko"]
config_name: default
column_names: ["text","label"]
tags:
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hub_id: BadreddineHug/badreddine_5M
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
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language: []
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hub_id: RJuro/neuro_patents
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language: []
config_name: default
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hub_id: ChengAoShen/emoji_fusion
license: []
language: []
config_name: default
column_names: ["image","condition1","condition2"]
features:
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hub_id: male-2/training_v3-public
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
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hub_id: orendar/ultrafeedback_binarized_filtered
license: []
language: []
config_name: default
column_names:
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hub_id: m-ric/Open_Assistant_Chains_German_Translation
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language: ["en","de"]
config_name: default
column_names: ["conversation_id","user_id","created_date","messages","lang_original","could_be_code"]
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hub_id: malteos/m_hellaswag
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language: []
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hub_id: jxm/synthbio
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language: []
config_name: default
column_names: ["serialized_attrs","biographies","notable_type","attrs"]
features:
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hub_id: yairschiff/translation
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["Source","Target","Prediction"]
features:
[{"name":"Source","dtype":"string"},{"name":"Target","dtype":"string"},{"name":"Prediction","dtype":"string"}]


hub_id: arieg/clustering_vgg19_80
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"000","1":"001","2":"002","3":"003","4":"004","5":"005","6":"006","7":"007","8":8,"9":9,"10":"010","11":"011","12":"012","13":"013","14":"014","15":"015","16":"016","17":"017","18":18,"19":19,"20":"020","21":"021","22":"022","23":"023","24":"024","25":"025","26":"026","27":"027","28":28,"29":29,"30":"030","31":"031","32":"032","33":"033","34":"034","35":"035","36":"036","37":"037","38":38,"39":39,"40":"040","41":"041","42":"042","43":"043","44":"044","45":"045","46":"046","47":"047","48":48,"49":49,"50":"050","51":"051","52":"052","53":"053","54":"054","55":"055","56":"056","57":"057","58":58,"59":59,"60":"060","61":"061","62":"062","63":"063","64":"064","65":"065","66":"066","67":"067","68":68,"69":69,"70":"070","71":"071","72":"072","73":"073","74":"074","75":"075","76":"076","77":"077","78":78,"79":79}}}}]


hub_id: pszemraj/midjourney-messages-cleaned
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["id","channel_id","text"]
tags:
["task_categories:text-generation","source_datasets:vivym/midjourney-messages","language:en","license:apache-2.0","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","region:us","midjourney","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"channel_id","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: jxm/private_prompts
license: []
language: []
config_name: default
column_names: ["prompt","value","field","source"]
features:
[{"name":"prompt","dtype":"string"},{"name":"value","dtype":"string"},{"name":"field","dtype":"string"},{"name":"source","dtype":"string"}]


hub_id: bkai-foundation-models/BKAINewsCorpus
license: []
language: []
config_name: default
column_names: ["id","link","publish","text"]
features:
[{"name":"id","dtype":"int64"},{"name":"link","dtype":"string"},{"name":"publish","struct":[{"name":"$date","dtype":"string"}]},{"name":"text","dtype":"string"}]


hub_id: relhousieny/share_bike_train
license: []
language: []
config_name: default
column_names:
["datetime","season","holiday","workingday","weather","temp","atemp","humidity","windspeed","casual","registered","count"]

features:
[{"name":"datetime","dtype":"string"},{"name":"season","dtype":"int64"},{"name":"holiday","dtype":"int64"},{"name":"workingday","dtype":"int64"},{"name":"weather","dtype":"int64"},{"name":"temp","dtype":"float64"},{"name":"atemp","dtype":"float64"},{"name":"humidity","dtype":"int64"},{"name":"windspeed","dtype":"float64"},{"name":"casual","dtype":"int64"},{"name":"registered","dtype":"int64"},{"name":"count","dtype":"int64"}]


hub_id: svjack/zh-idiom-in-deepl-google-eng
license: []
language: []
config_name: default
column_names: ["deepl","id","chinese","book","google"]
features:
[{"name":"deepl","sequence":"string"},{"name":"id","dtype":"int64"},{"name":"chinese","dtype":"string"},{"name":"book","sequence":"string"},{"name":"google","sequence":"string"}]


hub_id: svjack/zh-idiom-in-human-machine-eng
license: []
language: []
config_name: default
column_names: ["gold","machine","id","chinese","human"]
features:
[{"name":"gold","dtype":"string"},{"name":"machine","sequence":"string"},{"name":"id","dtype":"int64"},{"name":"chinese","dtype":"string"},{"name":"human","sequence":"string"}]


hub_id: anindya-hf-2002/audio_speaker_identification
license: []
language: []
config_name: default
column_names: ["audio","intent_class"]
features:
[{"name":"audio","struct":[{"name":"array","sequence":"float32"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"intent_class","dtype":"int64"}]


hub_id: relhousieny/share_bike_test
license: []
language: []
config_name: default
column_names: ["datetime","season","holiday","workingday","weather","temp","atemp","humidity","windspeed"]
features:
[{"name":"datetime","dtype":"string"},{"name":"season","dtype":"int64"},{"name":"holiday","dtype":"int64"},{"name":"workingday","dtype":"int64"},{"name":"weather","dtype":"int64"},{"name":"temp","dtype":"float64"},{"name":"atemp","dtype":"float64"},{"name":"humidity","dtype":"int64"},{"name":"windspeed","dtype":"float64"}]


hub_id: sorenmulli/da-gym-2000
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["question","option-A","option-B","option-C","option-D","task_title","index","context","correct"]
features:
[{"name":"question","dtype":"string"},{"name":"option-A","dtype":"string"},{"name":"option-B","dtype":"string"},{"name":"option-C","dtype":"string"},{"name":"option-D","dtype":"string"},{"name":"task_title","dtype":"string"},{"name":"index","dtype":"int64"},{"name":"context","dtype":"string"},{"name":"correct","dtype":"string"}]


hub_id: BhargaviAcharya/Text-summ-llama2-2
license: []
language: []
config_name: default
column_names: ["Text","Summary","__index_level_0__","text"]
features:
[{"name":"Text","dtype":"string"},{"name":"Summary","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"},{"name":"text","dtype":"string"}]


hub_id: sam-mosaic/iv4-chatml
license: []
language: []
config_name: default
column_names: ["source","prompt","response"]
features:
[{"name":"source","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"response","dtype":"string"}]


hub_id: ajmangus/qm_mixture_1.0e
license: []
language: []
config_name: default
column_names: ["alice_label","bob_label","charlie_label","difficulty","statement","choices","character","label"]
features:
[{"name":"alice_label","dtype":"bool"},{"name":"bob_label","dtype":"bool"},{"name":"charlie_label","dtype":"bool"},{"name":"difficulty","dtype":"int64"},{"name":"statement","dtype":"string"},{"name":"choices","sequence":"string"},{"name":"character","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"False","1":"True"}}}}]


hub_id: argilla/distilabel-math-instructions
license: []
language: []
config_name: default
column_names: ["instructions"]
features: [{"name":"instructions","dtype":"string"}]
tags:
["size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","synthetic","distilabel","croissant"]


hub_id: xwjzds/pretrain_sts_long
license: []
language: []
config_name: default
column_names: ["input","output"]
features: [{"name":"input","dtype":"string"},{"name":"output","dtype":"string"}]
tags:
["size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:2310.15296","region:us","croissant"]


hub_id: gagan3012/sentiment
license: []
language: []
config_name: default
column_names: ["id","query","answer","text","choices","gold","label_type"]
features:
[{"name":"id","dtype":"string"},{"name":"query","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"text","dtype":"string"},{"name":"choices","sequence":"string"},{"name":"gold","dtype":"int64"},{"name":"label_type","dtype":"string"}]


hub_id: davidgaofc/MedQuad_split
license: ["mit"]
language: []
config_name: default
column_names: ["qtype","Question","Answer"]
features:
[{"name":"qtype","dtype":"string"},{"name":"Question","dtype":"string"},{"name":"Answer","dtype":"string"}]


hub_id: gagan3012/finer_ord
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["label","answer","text","query"]
features:
[{"name":"label","sequence":"string"},{"name":"answer","dtype":"string"},{"name":"text","dtype":"string"},{"name":"query","dtype":"string"}]


hub_id: Codec-SUPERB/speech_tokenizer_16k
license: []
language: []
config_name: default
column_names: ["text","id","audio_codes"]
features:
[{"name":"text","dtype":"string"},{"name":"id","dtype":"string"},{"name":"audio_codes","sequence":{"sequence":"int64"}}]


hub_id: gilkeyio/librispeech-alignments
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["sex","subset","id","audio","transcript","words","phonemes"]
tags:
["task_categories:automatic-speech-recognition","language:en","license:cc-by-4.0","size_categories:100K<n<1M","parquet","audio","text","datasets","dask","mlcroissant","arxiv:1512.02595","region:us","croissant"]

features:
[{"name":"sex","dtype":"string"},{"name":"subset","dtype":"string"},{"name":"id","dtype":"string"},{"name":"audio","dtype":"audio"},{"name":"transcript","dtype":"string"},{"name":"words","list":[{"name":"end","dtype":"float64"},{"name":"start","dtype":"float64"},{"name":"word","dtype":"string"}]},{"name":"phonemes","list":[{"name":"end","dtype":"float64"},{"name":"phoneme","dtype":"string"},{"name":"start","dtype":"float64"}]}]


hub_id: ppxscal/wikigraph_pairs
license: []
language: []
config_name: default
column_names: ["Query Alias","Query","Relation","Content","Content Alias"]
features:
[{"name":"Query Alias","dtype":"string"},{"name":"Query","dtype":"string"},{"name":"Relation","dtype":"string"},{"name":"Content","dtype":"string"},{"name":"Content Alias","dtype":"string"}]


hub_id: Deojoandco/capstone_fromgpt_without_gold_v3
license: []
language: []
config_name: default
column_names:
["dialog_id","dialogue","summary","gold_tags","gpt_success","gpt_response","gold_tags_tokens_count","GPT_TAGS_FOUND","gpt_output_tags","gpt_output_tag_tokens_count","GPT_MI_FOUND","gpt_tags_token_count","gpt_tags","tag_token_count_match"]

features:
[{"name":"dialog_id","dtype":"int64"},{"name":"dialogue","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"gold_tags","dtype":"string"},{"name":"gpt_success","dtype":"bool"},{"name":"gpt_response","dtype":"string"},{"name":"gold_tags_tokens_count","dtype":"int64"},{"name":"GPT_TAGS_FOUND","dtype":"bool"},{"name":"gpt_output_tags","dtype":"string"},{"name":"gpt_output_tag_tokens_count","dtype":"int64"},{"name":"GPT_MI_FOUND","dtype":"bool"},{"name":"gpt_tags_token_count","dtype":"int64"},{"name":"gpt_tags","dtype":"string"},{"name":"tag_token_count_match","dtype":"bool"}]


hub_id: wltjr1007/Camelyon17-WILDS
license: ["other"]
language: []
config_name: default
column_names: ["image","label","center","image_id","patient","node","x_coord","y_coord","slide"]
tags:
["task_categories:image-classification","license:other","size_categories:100K<n<1M","parquet","image","datasets","dask","mlcroissant","region:us","medical","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"non-tumor","1":"tumor"}}}},{"name":"center","dtype":{"class_label":{"names":{"0":"train-center1","1":"validation-center","2":"test-center","3":"train-center2","4":"train-center3"}}}},{"name":"image_id","dtype":"uint32"},{"name":"patient","dtype":"uint8"},{"name":"node","dtype":"uint8"},{"name":"x_coord","dtype":"uint16"},{"name":"y_coord","dtype":"uint16"},{"name":"slide","dtype":"uint8"}]


hub_id: Subhadeep/English_IITM_Check_dataset
license: []
language: []
config_name: default
column_names: ["audio","path","sentence","length"]
features:
[{"name":"audio","dtype":"audio"},{"name":"path","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"length","dtype":"float64"}]


hub_id: Subhadeep/English_IITM_Check_dataset_en_pseudo_labelled
license: []
language: []
config_name: en
column_names: ["audio","path","sentence","length","whisper_transcript"]
features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"path","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"length","dtype":"float64"},{"name":"whisper_transcript","sequence":"int64"}]


hub_id: zardat/Data_new
tags: ["size_categories:10K<n<100K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["node_features","edge_list","edge_attr","magnetization"]
features:
[{"name":"node_features","dtype":"null"},{"name":"edge_list","dtype":"null"},{"name":"edge_attr","dtype":"null"},{"name":"magnetization","dtype":"null"}]


hub_id: UsQuake/ampk_qa
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["answer","context","question"]
features:
[{"name":"answer","dtype":"string"},{"name":"context","dtype":"string"},{"name":"question","dtype":"string"}]


hub_id: vikp/doclaynet_processed
license: []
language: []
config_name: default
column_names: ["image","bboxes","labels","words","split"]
features:
[{"name":"image","dtype":"image"},{"name":"bboxes","sequence":{"sequence":"float64"}},{"name":"labels","sequence":"int64"},{"name":"words","sequence":"string"},{"name":"split","dtype":"string"}]


hub_id: thangvip/cti-dataset
license: []
language: []
config_name: default
column_names: ["sentence_idx","words","POS","tag"]
features:
[{"name":"sentence_idx","dtype":"int64"},{"name":"words","sequence":"string"},{"name":"POS","sequence":"int64"},{"name":"tag","sequence":"int64"}]


hub_id: dipudl/ms-marco-llama-gptq-prompts
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["query_id","answers","passages","query","query_type","wellFormedAnswers","ai_answers","query_len","prompt"]

features:
[{"name":"query_id","dtype":"int32"},{"name":"answers","sequence":"string"},{"name":"passages","struct":[{"name":"is_selected","sequence":"int32"},{"name":"passage_text","sequence":"string"},{"name":"url","sequence":"string"}]},{"name":"query","dtype":"string"},{"name":"query_type","dtype":"string"},{"name":"wellFormedAnswers","sequence":"null"},{"name":"ai_answers","dtype":"string"},{"name":"query_len","dtype":"int64"},{"name":"prompt","dtype":"string"}]


hub_id: eswardivi/Tamil_MSA_Audio_Text
license: []
language: ["ta"]
config_name: default
column_names: ["Audio","label","FilePath","Text"]
tags:
["task_categories:text-classification","task_categories:audio-classification","language:ta","size_categories:n<1K","parquet","audio","text","datasets","pandas","mlcroissant","arxiv:2106.04853","region:us","croissant"]

features:
[{"name":"Audio","dtype":"audio"},{"name":"label","dtype":{"class_label":{"names":{"0":"Negative","1":"Neutral","2":"Positive"}}}},{"name":"FilePath","dtype":"string"},{"name":"Text","dtype":"string"}]


hub_id: joseluhf11/oct-object-detection-v4
license: []
language: []
config_name: default
column_names: ["image_id","image","objects"]
features:
[{"name":"image_id","dtype":"int64"},{"name":"image","dtype":"image"},{"name":"objects","struct":[{"name":"bbox","sequence":{"sequence":"int64"}},{"name":"categories","sequence":"string"}]}]


hub_id: tomaarsen/ner-orgs
license: []
language: []
config_name: default
column_names: ["tokens","ner_tags"]
features:
[{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-ORG","2":"I-ORG"}}}}]


hub_id: patent/AIPD_nlp_sentence_dataset
license: []
language: []
config_name: default
column_names: ["patent_num","claim_num1","claim_num2","sentence1","sentence2","label"]
features:
[{"name":"patent_num","dtype":"int64"},{"name":"claim_num1","dtype":"int64"},{"name":"claim_num2","dtype":"int64"},{"name":"sentence1","dtype":"string"},{"name":"sentence2","dtype":"string"},{"name":"label","dtype":"float64"}]


hub_id: Gaxys/wayuu_spa
license: []
language: []
config_name: default
column_names: ["translation","id"]
features:
[{"name":"translation","struct":[{"name":"guc","dtype":"string"},{"name":"spa","dtype":"string"}]},{"name":"id","dtype":"int64"}]


hub_id: Gaxys/nasa_spa
license: []
language: []
config_name: default
column_names: ["translation","id"]
features:
[{"name":"translation","struct":[{"name":"pbb","dtype":"string"},{"name":"spa","dtype":"string"}]},{"name":"id","dtype":"int64"}]


hub_id: suthanhcong/fashion_items
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"bag","1":"dress","2":"hat","3":"jacket","4":"pants","5":"shirt","6":"shoe","7":"shorts","8":"skirt","9":"sunglass"}}}}]


hub_id: male-2/evaluation_align_v1__store_baehanjin_work_ml-training_v3_merged-public
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Aspect","Sub-Aspect","Query","type","Dialogue","Response"]
features:
[{"name":"Aspect","dtype":"string"},{"name":"Sub-Aspect","dtype":"string"},{"name":"Query","dtype":"string"},{"name":"type","dtype":"string"},{"name":"Dialogue","dtype":"string"},{"name":"Response","dtype":"string"}]


hub_id: SUSTech/mt_bench
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["question_id","category","turns","reference"]
features:
[{"name":"question_id","dtype":"int64"},{"name":"category","dtype":"string"},{"name":"turns","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"reference","sequence":"string"}]


hub_id: seonglae/resrer-nq
license: []
language: []
config_name: default
column_names:
["document_text","long_answer_candidates","question_text","annotations","document_url","example_id","long_answer_text","short_answer_text","split_id","answer_exist_chunk","summarization_text"]

features:
[{"name":"document_text","dtype":"string"},{"name":"long_answer_candidates","list":[{"name":"end_token","dtype":"int64"},{"name":"start_token","dtype":"int64"},{"name":"top_level","dtype":"bool"}]},{"name":"question_text","dtype":"string"},{"name":"annotations","list":[{"name":"annotation_id","dtype":"float64"},{"name":"long_answer","struct":[{"name":"candidate_index","dtype":"int64"},{"name":"end_token","dtype":"int64"},{"name":"start_token","dtype":"int64"}]},{"name":"short_answers","list":[{"name":"end_token","dtype":"int64"},{"name":"start_token","dtype":"int64"}]},{"name":"yes_no_answer","dtype":"string"}]},{"name":"document_url","dtype":"string"},{"name":"example_id","dtype":"int64"},{"name":"long_answer_text","dtype":"string"},{"name":"short_answer_text","dtype":"string"},{"name":"split_id","dtype":"string"},{"name":"answer_exist_chunk","dtype":"bool"},{"name":"summarization_text","dtype":"string"}]


hub_id: bot-yaya/undl_fr2en_translation
license: []
language: []
config_name: default
column_names: ["clean_fr","clean_en","record","fr2en"]
features:
[{"name":"clean_fr","sequence":"string"},{"name":"clean_en","sequence":"string"},{"name":"record","dtype":"string"},{"name":"fr2en","sequence":"string"}]


hub_id: hezarai/flickr30k-fa
license: ["apache-2.0"]
language: ["fa"]
config_name: default
column_names: ["image_path","label"]
features: [{"name":"image_path","dtype":"image"},{"name":"label","dtype":"string"}]
tags:
["task_categories:image-to-text","language:fa","license:apache-2.0","size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","region:us","hezar","croissant"]


hub_id: erbacher/PDEBench-1D
license: []
language: []
config_name: ReacDiff_Nu5.0_Rho5.0
column_names: ["parameters","tensor"]
features:
[{"name":"parameters","dtype":"string"},{"name":"tensor","sequence":{"sequence":{"sequence":"float32"}}}]


hub_id: bot-yaya/undl_fr2en_aligned
license: []
language: []
config_name: default
column_names: ["record","clean_para_index_set_pair","src","dst","src_text","dst_text","src_rate","dst_rate"]
features:
[{"name":"record","dtype":"string"},{"name":"clean_para_index_set_pair","dtype":"string"},{"name":"src","dtype":"string"},{"name":"dst","dtype":"string"},{"name":"src_text","dtype":"string"},{"name":"dst_text","dtype":"string"},{"name":"src_rate","dtype":"float64"},{"name":"dst_rate","dtype":"float64"}]


hub_id: hervezossou/africanvoice
license: []
language: []
config_name: default
column_names: ["audio","audio_id","transcription","normalized_text"]
features:
[{"name":"audio","dtype":"audio"},{"name":"audio_id","dtype":"string"},{"name":"transcription","dtype":"string"},{"name":"normalized_text","dtype":"string"}]


hub_id: pyRis/wikinewssum
license: ["mit"]
language: []
config_name: default
column_names: ["lang_src","text","lang_tgt","summary"]
features:
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hub_id: argilla/distilabel-docs
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: bot-yaya/undl_de2en_translation
license: []
language: []
config_name: default
column_names: ["clean_de","clean_en","record","de2en"]
features:
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hub_id: CCRss/arXiv_dataset
license: ["cc0-1.0"]
language: ["en"]
config_name: default
tags:
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hub_id: zardat/Data_new_stable
license: []
language: []
config_name: default
column_names: ["node_features","edge_list","edge_attr","magnetization"]
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hub_id: scademy/autotrain-data-DistilBert-500-500
license: []
language: []
config_name: default
column_names: ["autotrain_text","autotrain_label"]
features:
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hub_id: bot-yaya/undl_ru2en_translation
license: []
language: []
config_name: default
column_names: ["clean_ru","clean_en","record","ru2en"]
features:
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hub_id: argilla/distilabel-math-preference-dpo
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["metadata","instruction","chosen_response","chosen_rating","rejected_response","rejected_rating"]
tags:
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features:
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hub_id: argilla/ultrafeedback-prompts-with-ultrajudge
license: []
language: []
config_name: default
column_names:
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hub_id: trng1305/sroie_dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","words","bboxes","ner_tags","image_path"]
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hub_id: annyorange/colorized-dataset
license: []
language: []
config_name: default
column_names: ["original_image","edit_prompt","colorized_image"]
features:
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hub_id: Nelis/Midjourney_Stable_Diffusion_prompts
license: ["unknown"]
language: []
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
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hub_id: danavery/urbansound8K
license: ["cc-by-nc-4.0"]
language: ["en"]
config_name: default
column_names: ["audio","slice_file_name","fsID","start","end","salience","fold","classID","class"]
tags:
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hub_id: fformosa/composability_feliu
license: []
language: []
config_name: default
column_names: ["url","caption","id","similarity","image","count_id","type","indices","dataset_id"]
features:
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hub_id: peterbeamish/environment-env-instruct1
license: []
language: []
config_name: default
column_names: ["input","output","system_prompt","question"]
features:
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hub_id: gilkeyio/inclusive_voice
license: ["cc0-1.0"]
language: ["en"]
config_name: default
column_names: ["client_id","audio","sentence","age","gender","accent"]
tags:
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hub_id: vwxyzjn/summarize_from_feedback_tldr_3_filtered_oai_preprocessing_pythia-160m_48
license: []
language: []
config_name: default
column_names:
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hub_id: vwxyzjn/summarize_from_feedback_oai_preprocessing_pythia-160m_48
license: []
language: []
config_name: default
tags:
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column_names:
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hub_id: washimneupane/wikidatacluster
license: ["mit"]
language: []
config_name: default
column_names: ["id","url","title","text","cluster"]
tags:
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features:
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hub_id: bot-yaya/undl_es2en_translation
license: []
language: []
config_name: default
column_names: ["clean_es","clean_en","record","es2en"]
features:
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hub_id: vwxyzjn/summarize_from_feedback_oai_preprocessing_gpt2_48
license: []
language: []
config_name: default
tags:
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column_names:
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hub_id: bot-yaya/undl_ar2en_translation
license: []
language: []
config_name: default
column_names: ["clean_ar","clean_en","record","ar2en"]
features:
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hub_id: worldboss/ghana-news
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["title","content","author","category","published_date","page_url"]
tags:
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features:
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hub_id: madaanpulkit/tab-wnut-flat
license: []
language: []
config_name: default
column_names: ["text","tokens","token_spans","tags","doc_id"]
features:
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hub_id: darrel999/java-1000
license: []
language: []
config_name: default
column_names: ["input","output","content","instruction"]
features:
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hub_id: phucnn/zalo-crawler-v17-explanation
license: []
language: []
config_name: default
column_names: ["id","question","explanation","choices","answer"]
features:
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hub_id: SUSTech/mt_bench_judge
license: []
language: []
config_name: default
column_names:
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hub_id: ylacombe/cml-tts
license: ["cc-by-4.0"]
language: ["nl","fr","de","it","pl","pt","es"]
config_name: spanish
tags:
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column_names:
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hub_id: fashxp/cars-manufacturers
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
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hub_id: pierre-pessarossi/wikipedia-climate-data
license: ["cc-by-sa-3.0"]
language: []
config_name: default
column_names: ["title","content"]
features: [{"name":"title","dtype":"string"},{"name":"content","dtype":"string"}]
tags:
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hub_id: davide221/test
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["conversations"]
features:
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hub_id: mtc/absinth_german_faithfulness_detection_dataset
license: ["apache-2.0"]
language: ["de"]
config_name: default
tags:
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column_names:
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features:
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hub_id: harpreetsahota/red-team-prompts-questions
license: ["mit"]
language: []
config_name: default
column_names: ["0"]
features: [{"name":"0","dtype":"string"}]
tags:
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hub_id: HuggingFaceM4/vqav2_task_finetuning
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["question","image","answer"]
features:
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hub_id: helloerikaaa/solar-activity-history
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["date","year","month","day","datefracc","counts","std","nobs","indicator"]
tags:
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features:
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hub_id: severo/tmp-1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["content","poster","date_utc","flair","title","score","permalink","id"]
features:
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hub_id: paul-w-qs/contracts_v5
license: []
language: []
config_name: default
column_names:
["image","N_ROWS","N_COLS","FONT_SIZE","FONT_NAME","BORDER_THICKNESS","TABLE_STYLE","NOISED","LABEL_NOISE","JSON_LABEL"]

features:
[{"name":"image","dtype":"image"},{"name":"N_ROWS","dtype":"int64"},{"name":"N_COLS","dtype":"int64"},{"name":"FONT_SIZE","dtype":"int64"},{"name":"FONT_NAME","dtype":"string"},{"name":"BORDER_THICKNESS","dtype":"int64"},{"name":"TABLE_STYLE","dtype":"string"},{"name":"NOISED","dtype":"bool"},{"name":"LABEL_NOISE","dtype":"bool"},{"name":"JSON_LABEL","dtype":"string"}]


hub_id: nayohan/multi_session_chat
license: []
language: []
config_name: default
column_names: ["dataset","dialoug_id","session_id","persona1","persona2","dialogue","speaker"]
features:
[{"name":"dataset","dtype":"string"},{"name":"dialoug_id","dtype":"int64"},{"name":"session_id","dtype":"int64"},{"name":"persona1","sequence":"string"},{"name":"persona2","sequence":"string"},{"name":"dialogue","sequence":"string"},{"name":"speaker","sequence":"string"}]


hub_id: EleutherAI/qm-mixture
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["alice_label","bob_label","difficulty","statement","choices","character","label"]
tags:
["task_categories:question-answering","language:en","license:apache-2.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: nayohan/conversation_chronicles
license: []
language: []
config_name: default
column_names:
["dataset","data_id","dialogue_id","session_id","relationship","time_interval","summarization","dialogue","speaker"]

features:
[{"name":"dataset","dtype":"string"},{"name":"data_id","dtype":"string"},{"name":"dialogue_id","dtype":"int64"},{"name":"session_id","dtype":"int64"},{"name":"relationship","dtype":"string"},{"name":"time_interval","dtype":"string"},{"name":"summarization","dtype":"string"},{"name":"dialogue","sequence":"string"},{"name":"speaker","sequence":"string"}]


hub_id: ProfessorBob/no_robots_enfr
license: []
language: ["fr","en"]
config_name: default
column_names: ["category","output","query","qid","fr_query","fr_output"]
tags:
["task_categories:text-generation","language:fr","language:en","size_categories:1K<n<10K","region:us"]

features:
[{"name":"category","dtype":"string"},{"name":"output","dtype":"string"},{"name":"query","dtype":"string"},{"name":"qid","dtype":"int64"},{"name":"fr_query","dtype":"string"},{"name":"fr_output","dtype":"string"}]


hub_id: atmansingh/medalpaca
license: []
language: []
config_name: default
column_names: ["output","input","instruction","input_ids","labels"]
features:
[{"name":"output","dtype":"string"},{"name":"input","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"input_ids","struct":[{"name":"attention_mask","sequence":"int64"},{"name":"input_ids","sequence":"int64"}]},{"name":"labels","struct":[{"name":"attention_mask","sequence":"int64"},{"name":"input_ids","sequence":"int64"}]}]


hub_id: RobCzikkel/DoctorGPT
license: []
language: ["en"]
config_name: default
column_names: ["prompt","input_ids","length","attention_mask"]
tags:
["language:en","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","biology","medical","croissant"]

features:
[{"name":"prompt","dtype":"string"},{"name":"input_ids","sequence":"int32"},{"name":"length","dtype":"int64"},{"name":"attention_mask","sequence":"int8"}]


hub_id: sorenmulli/da-cloze-self-test
license: []
language: []
config_name: default
column_names: ["text-idx","cloze-idx","text","correct","option-0","option-1","option-2","option-3"]
features:
[{"name":"text-idx","dtype":"int64"},{"name":"cloze-idx","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"correct","dtype":"int64"},{"name":"option-0","dtype":"string"},{"name":"option-1","dtype":"string"},{"name":"option-2","dtype":"string"},{"name":"option-3","dtype":"string"}]


hub_id: davidfant/wikipedia-simple
license: []
language: []
config_name: default
column_names: ["id","slug","title","revision_id","markdown","text"]
features:
[{"name":"id","dtype":"int64"},{"name":"slug","dtype":"string"},{"name":"title","dtype":"string"},{"name":"revision_id","dtype":"int64"},{"name":"markdown","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: sorenmulli/da-hashtag-twitterhjerne
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["Question","Answer 1","Answer 2","Answer 3","Answer 4","Answer 5","Answer 6","Unnamed: 8","Unnamed: 9"]

features:
[{"name":"Question","dtype":"string"},{"name":"Answer 1","dtype":"string"},{"name":"Answer 2","dtype":"string"},{"name":"Answer 3","dtype":"string"},{"name":"Answer 4","dtype":"string"},{"name":"Answer 5","dtype":"string"},{"name":"Answer 6","dtype":"string"},{"name":"Unnamed: 8","dtype":"string"},{"name":"Unnamed: 9","dtype":"string"}]


hub_id: atmansingh/medalpaca-complete
license: []
language: []
config_name: default
column_names: ["input","output","instruction","input_ids","labels"]
features:
[{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"input_ids","struct":[{"name":"attention_mask","sequence":"int64"},{"name":"input_ids","sequence":"int64"}]},{"name":"labels","struct":[{"name":"attention_mask","sequence":"int64"},{"name":"input_ids","sequence":"int64"}]}]


hub_id: danielz01/landmarks
license: []
language: []
config_name: NAIP
column_names:
["image","osm_relation_id","wikidata_entity_id","lat","lon","alt","name","instanceOfIDs","instanceOfLabels","distractorIDs","distractorLabels"]

features:
[{"name":"image","dtype":"image"},{"name":"osm_relation_id","dtype":"int64"},{"name":"wikidata_entity_id","dtype":"string"},{"name":"lat","dtype":"float64"},{"name":"lon","dtype":"float64"},{"name":"alt","dtype":"null"},{"name":"name","dtype":"string"},{"name":"instanceOfIDs","sequence":"string"},{"name":"instanceOfLabels","sequence":"string"},{"name":"distractorIDs","sequence":"string"},{"name":"distractorLabels","sequence":"string"}]


hub_id: justinphan3110/sharegpt_instructions_small_en_vi_answers
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["instruction","vn","en"]
features:
[{"name":"instruction","dtype":"string"},{"name":"vn","dtype":"string"},{"name":"en","dtype":"string"}]


hub_id: alpayariyak/wildchat-code-gpt4
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["conversation_id","model","timestamp","conversation","turn","language","openai_moderation","detoxify_moderation","toxic","redacted","input_1","output_1"]

features:
[{"name":"conversation_id","dtype":"string"},{"name":"model","dtype":"string"},{"name":"timestamp","dtype":"timestamp[s, tz=UTC]"},{"name":"conversation","list":[{"name":"content","dtype":"string"},{"name":"language","dtype":"string"},{"name":"redacted","dtype":"bool"},{"name":"role","dtype":"string"},{"name":"toxic","dtype":"bool"}]},{"name":"turn","dtype":"int64"},{"name":"language","dtype":"string"},{"name":"openai_moderation","list":[{"name":"categories","struct":[{"name":"harassment","dtype":"bool"},{"name":"harassment/threatening","dtype":"bool"},{"name":"hate","dtype":"bool"},{"name":"hate/threatening","dtype":"bool"},{"name":"self-harm","dtype":"bool"},{"name":"self-harm/instructions","dtype":"bool"},{"name":"self-harm/intent","dtype":"bool"},{"name":"sexual","dtype":"bool"},{"name":"sexual/minors","dtype":"bool"},{"name":"violence","dtype":"bool"},{"name":"violence/graphic","dtype":"bool"}]},{"name":"category_scores","struct":[{"name":"harassment","dtype":"float64"},{"name":"harassment/threatening","dtype":"float64"},{"name":"hate","dtype":"float64"},{"name":"hate/threatening","dtype":"float64"},{"name":"self-harm","dtype":"float64"},{"name":"self-harm/instructions","dtype":"float64"},{"name":"self-harm/intent","dtype":"float64"},{"name":"sexual","dtype":"float64"},{"name":"sexual/minors","dtype":"float64"},{"name":"violence","dtype":"float64"},{"name":"violence/graphic","dtype":"float64"}]},{"name":"flagged","dtype":"bool"}]},{"name":"detoxify_moderation","list":[{"name":"identity_attack","dtype":"float32"},{"name":"insult","dtype":"float32"},{"name":"obscene","dtype":"float32"},{"name":"severe_toxicity","dtype":"float32"},{"name":"sexual_explicit","dtype":"float32"},{"name":"threat","dtype":"float32"},{"name":"toxicity","dtype":"float32"}]},{"name":"toxic","dtype":"bool"},{"name":"redacted","dtype":"bool"},{"name":"input_1","dtype":"string"},{"name":"output_1","dtype":"string"}]


hub_id: mncai/eval_law
license: []
language: []
config_name: default
column_names: ["passage_count","file_name","passages","idx","answer_gpt","query"]
features:
[{"name":"passage_count","dtype":"int64"},{"name":"file_name","dtype":"string"},{"name":"passages","sequence":"string"},{"name":"idx","dtype":"int64"},{"name":"answer_gpt","dtype":"string"},{"name":"query","dtype":"string"}]


hub_id: lnwang/retrieval_qa
license: ["apache-2.0"]
language: ["en","zh","ja","es","de","ru"]
config_name: zh_tw
column_names: ["region","doc","query","choice","answer"]
tags:
["language:en","language:zh","language:ja","language:es","language:de","language:ru","license:apache-2.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","art","croissant"]

features:
[{"name":"region","dtype":"string"},{"name":"doc","dtype":"string"},{"name":"query","dtype":"string"},{"name":"choice","sequence":{"sequence":"string"}},{"name":"answer","dtype":"string"}]


hub_id: sordonia/platypus-flat
license: []
language: []
config_name: default
column_names: ["source","target","task_source","task_name","split"]
features:
[{"name":"source","dtype":"string"},{"name":"target","dtype":"string"},{"name":"task_source","dtype":"string"},{"name":"task_name","dtype":"string"},{"name":"split","dtype":"string"}]


hub_id: nguyenthanhdo/webglm_vi
license: []
language: []
config_name: default
column_names: ["question","answer","references","translated"]
features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"references","sequence":"string"},{"name":"translated","dtype":"bool"}]


hub_id: presencesw/creak
license: []
language: []
config_name: default
column_names: ["question","choice","answer","cot"]
features:
[{"name":"question","dtype":"string"},{"name":"choice","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"cot","dtype":"string"}]


hub_id: sordonia/adauni-v1-flat
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["source","target","task_name","task_source","split"]
features:
[{"name":"source","dtype":"string"},{"name":"target","dtype":"string"},{"name":"task_name","dtype":"string"},{"name":"task_source","dtype":"string"},{"name":"split","dtype":"string"}]


hub_id: AntoineBlanot/snli-contrast
license: []
language: []
config_name: default
column_names: ["premise","hypothesis","instruction","label_name"]
features:
[{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"label_name","dtype":"string"}]


hub_id: Liberty-L/race_train_EN
license: []
language: []
config_name: default
column_names: ["example_id","article","answer","question","options","input_ids","attention_mask","label"]
features:
[{"name":"example_id","dtype":"string"},{"name":"article","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"question","dtype":"string"},{"name":"options","sequence":"string"},{"name":"input_ids","sequence":{"sequence":"int32"}},{"name":"attention_mask","sequence":{"sequence":"int8"}},{"name":"label","dtype":"int64"}]


hub_id: girrajjangid/databricks-dolly-1k
license: []
language: []
config_name: default
column_names: ["pre_instruction","instruction","output","category"]
features:
[{"name":"pre_instruction","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"output","dtype":"string"},{"name":"category","dtype":"string"}]


hub_id: wellCh4n/tomato-leaf-disease-image
license: []
language: []
config_name: default
column_names: ["image","text"]
features: [{"name":"image","dtype":"image"},{"name":"text","dtype":"string"}]
tags:
["task_categories:text-to-image","size_categories:10K<n<100K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: correll/semanticsegmentationandposeestimationfromrgbd
license: ["mit"]
language: []
config_name: default
column_names: ["rgb","depth","mask","meta"]
tags:
["task_categories:image-segmentation","task_categories:image-classification","task_categories:object-detection","license:mit","size_categories:1K<n<10K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"rgb","dtype":"image"},{"name":"depth","dtype":"image"},{"name":"mask","dtype":"image"},{"name":"meta","list":[{"name":"colors","sequence":"float64"},{"name":"file","dtype":"string"},{"name":"id","dtype":"int64"},{"name":"model","dtype":"string"},{"name":"numberOfColors","dtype":"int64"},{"name":"orientation","sequence":"float64"},{"name":"position","sequence":"float64"},{"name":"positionOnImage","sequence":"int64"},{"name":"size","sequence":"float64"},{"name":"sizeOnImage","sequence":"int64"}]}]


hub_id: ivne20/reveal
license: []
language: []
config_name: default
column_names: ["instruction","input","output"]
features:
[{"name":"instruction","dtype":"string"},{"name":"input","dtype":"string"},{"name":"output","dtype":{"class_label":{"names":{"0":"False","1":"True"}}}}]


hub_id: bilallllllll/maow
license: []
language: []
config_name: default
column_names: ["id","previous_frame","next_frame","next_frame_pose"]
features:
[{"name":"id","dtype":"int32"},{"name":"previous_frame","dtype":"image"},{"name":"next_frame","dtype":"image"},{"name":"next_frame_pose","dtype":"image"}]


hub_id: susnato/plant_disease_detection_processed
license: ["cc-by-4.0"]
language: []
config_name: default
column_names: ["image_id","image","width","height","objects","pixel_values","pixel_mask","labels"]
tags:
["task_categories:object-detection","license:cc-by-4.0","size_categories:1K<n<10K","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image_id","dtype":"int64"},{"name":"image","dtype":"image"},{"name":"width","dtype":"int64"},{"name":"height","dtype":"int64"},{"name":"objects","struct":[{"name":"area","sequence":"int64"},{"name":"bbox","sequence":{"sequence":"int64"}},{"name":"category","sequence":"int64"}]},{"name":"pixel_values","sequence":{"sequence":{"sequence":"float32"}}},{"name":"pixel_mask","sequence":{"sequence":"int64"}},{"name":"labels","struct":[{"name":"area","sequence":"float32"},{"name":"boxes","sequence":{"sequence":"float32"}},{"name":"class_labels","sequence":"int64"},{"name":"image_id","sequence":"int64"},{"name":"iscrowd","sequence":"int64"},{"name":"orig_size","sequence":"int64"},{"name":"size","sequence":"int64"}]}]


hub_id: bilallllllll/CNetImg2Img
license: []
language: []
config_name: default
column_names: ["id","input_image","edit_pose","edited_image"]
features:
[{"name":"id","dtype":"int32"},{"name":"input_image","dtype":"image"},{"name":"edit_pose","dtype":"image"},{"name":"edited_image","dtype":"image"}]


hub_id: maritaca-ai/enem
license: ["apache-2.0"]
language: ["pt"]
config_name: default
column_names: ["id","exam","IU","ledor","question","alternatives","figures","description","label"]
tags:
["task_categories:visual-question-answering","task_categories:multiple-choice","language:pt","license:apache-2.0","size_categories:n<1K","json","text","datasets","pandas","mlcroissant","arxiv:2311.14169","arxiv:2303.17003","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"exam","dtype":"string"},{"name":"IU","dtype":"bool"},{"name":"ledor","dtype":"bool"},{"name":"question","dtype":"string"},{"name":"alternatives","sequence":"string"},{"name":"figures","sequence":"string"},{"name":"description","sequence":"string"},{"name":"label","dtype":"string"}]


hub_id: sehyun66/STOCKPRICE
license: ["mit"]
language: []
config_name: NASDAQ_3y
column_names: ["Date","Open","High","Low","Close","Adj Close","Volume","Ticker"]
tags:
["license:mit","size_categories:1M<n<10M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"Date","dtype":"string"},{"name":"Open","dtype":"float64"},{"name":"High","dtype":"float64"},{"name":"Low","dtype":"float64"},{"name":"Close","dtype":"float64"},{"name":"Adj Close","dtype":"float64"},{"name":"Volume","dtype":"int64"},{"name":"Ticker","dtype":"string"}]


hub_id: tollefj/NORTS
license: []
language: []
config_name: default
column_names:
["AssignmentId","docId","article","tid1","tid2","words1","words2","phrases1","phrases2","sentences1","sentences2","summary1","summary2","__index_level_0__"]

features:
[{"name":"AssignmentId","dtype":"string"},{"name":"docId","dtype":"string"},{"name":"article","dtype":"string"},{"name":"tid1","dtype":"int64"},{"name":"tid2","dtype":"int64"},{"name":"words1","dtype":"string"},{"name":"words2","dtype":"string"},{"name":"phrases1","dtype":"string"},{"name":"phrases2","dtype":"string"},{"name":"sentences1","dtype":"string"},{"name":"sentences2","dtype":"string"},{"name":"summary1","dtype":"string"},{"name":"summary2","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: vibhorag101/suicide_prediction_dataset_phr
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["text","label"]
features: [{"name":"text","dtype":"string"},{"name":"label","dtype":"string"}]
tags:
["task_categories:text-classification","language:en","license:mit","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: manu/bnf_clean
license: []
language: []
config_name: default
column_names: ["id","text","author","title","mean_nqa","date","subject","rights","original_folder","perplexity"]
features:
[{"name":"id","dtype":"string"},{"name":"text","dtype":"string"},{"name":"author","dtype":"string"},{"name":"title","dtype":"string"},{"name":"mean_nqa","dtype":"float64"},{"name":"date","dtype":"string"},{"name":"subject","dtype":"string"},{"name":"rights","dtype":"string"},{"name":"original_folder","dtype":"string"},{"name":"perplexity","dtype":"float64"}]


hub_id: vishalsmb/vishalsmb-llama2-ner-adsabs-WIESP2022-NER
license: []
language: []
config_name: default
column_names: ["bibcode","label_studio_id","ner_ids","ner_tags","section","tokens","unique_id","text"]
features:
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hub_id: ProfessorBob/dolly_contextQA_enfr
license: ["cc-by-sa-3.0"]
language: ["fr","en"]
config_name: default
column_names: ["instruction","context","category","fr_context","fr_response","fr_instruction","response","qid"]
tags:
["language:fr","language:en","license:cc-by-sa-3.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"instruction","dtype":"string"},{"name":"context","dtype":"string"},{"name":"category","dtype":"string"},{"name":"fr_context","dtype":"string"},{"name":"fr_response","dtype":"string"},{"name":"fr_instruction","dtype":"string"},{"name":"response","dtype":"string"},{"name":"qid","dtype":"int64"}]


hub_id: petrpan26/typescript-test
license: []
language: []
config_name: default
column_names: ["level_0","index","repo_id","file_path","content"]
features:
[{"name":"level_0","dtype":"int64"},{"name":"index","dtype":"int64"},{"name":"repo_id","dtype":"string"},{"name":"file_path","dtype":"string"},{"name":"content","dtype":"string"}]


hub_id: HamdanXI/arb-eng-parallel-10k-splitted-translated-arabic
license: []
language: []
config_name: default
column_names: ["arabic","english","translated"]
features:
[{"name":"arabic","dtype":"string"},{"name":"english","dtype":"string"},{"name":"translated","dtype":"string"}]


hub_id: tbilisi-ai-lab/TinyStoriesInstruct
license: ["mit"]
language: []
config_name: default
column_names: ["Features:","Summary:","Random sentence:","Story:","Words:"]
tags:
["license:mit","size_categories:100M<n<1B","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"Features:","dtype":"string"},{"name":"Summary:","dtype":"string"},{"name":"Random sentence:","dtype":"string"},{"name":"Story:","sequence":"string"},{"name":"Words:","dtype":"string"}]


hub_id: kyujinpy/Ko-various-dataset
license: ["cc-by-nc-sa-4.0"]
language: []
config_name: default
column_names: ["id","input","output","instruction"]
tags:
["license:cc-by-nc-sa-4.0","size_categories:10M<n<100M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: brando/Coq-Gym-Data-Set
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["relevant_lemmas","prev_tactics","context","tactic"]
features:
[{"name":"relevant_lemmas","sequence":"string"},{"name":"prev_tactics","sequence":"string"},{"name":"context","struct":[{"name":"bg_goals","list":[{"name":"goal","dtype":"string"},{"name":"hypotheses","sequence":"string"}]},{"name":"fg_goals","list":[{"name":"goal","dtype":"string"},{"name":"hypotheses","sequence":"string"}]},{"name":"given_up_goals","list":[{"name":"goal","dtype":"string"},{"name":"hypotheses","sequence":"string"}]},{"name":"shelved_goals","list":[{"name":"goal","dtype":"string"},{"name":"hypotheses","sequence":"string"}]}]},{"name":"tactic","dtype":"string"}]


hub_id: mlabonne/MedQuad-MedicalQnADataset
license: []
language: []
config_name: default
column_names: ["qtype","instruction","output"]
features:
[{"name":"qtype","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"output","dtype":"string"}]


hub_id: michaelginn/latent-trees-agreement-ID
license: []
language: []
config_name: default
column_names: ["text","labels","depth"]
features:
[{"name":"text","dtype":"string"},{"name":"labels","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}},{"name":"depth","dtype":"int64"}]


hub_id: worldboss/bank-of-ghana-rates
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["Date","Currency","Currency_Pair","Buying","Selling","Mid_Rate"]
tags:
["task_categories:text-generation","task_categories:summarization","task_categories:question-answering","task_categories:text-classification","task_categories:text-retrieval","task_categories:translation","language:en","license:apache-2.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","ghana","news","ghana-news","bank-of-ghana","exchange-rates","ghana data","croissant"]

features:
[{"name":"Date","dtype":"string"},{"name":"Currency","dtype":"string"},{"name":"Currency_Pair","dtype":"string"},{"name":"Buying","dtype":"string"},{"name":"Selling","dtype":"string"},{"name":"Mid_Rate","dtype":"string"}]


hub_id: worldboss/bank-of-ghana-treasury-bills
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["Issue_Date","Tender","Security_Type","Discount_Rate","Interest_Rate"]
tags:
["task_categories:text-generation","task_categories:summarization","task_categories:question-answering","task_categories:text-classification","task_categories:text-retrieval","task_categories:translation","language:en","license:apache-2.0","size_categories:n<1K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","ghana","news","ghana-news","bank-of-ghana","exchange-rates","ghana data","bank of ghana","croissant"]

features:
[{"name":"Issue_Date","dtype":"string"},{"name":"Tender","dtype":"int64"},{"name":"Security_Type","dtype":"string"},{"name":"Discount_Rate","dtype":"float64"},{"name":"Interest_Rate","dtype":"float64"}]


hub_id: bot-yaya/undl_zh2en_translation
license: []
language: []
config_name: default
column_names: ["clean_zh","clean_en","record","zh2en"]
features:
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hub_id: pvisnrt/special_samsum
license: []
language: []
config_name: default
column_names: ["id","dialogue","summary","tags","tag_ids"]
features:
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hub_id: glitchbench/GlitchBench
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["image","id","reddit","glitch-type","game","source","description","__index_level_0__"]
tags:
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features:
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hub_id: m-a-p/MusicPile
license: ["cc"]
language: ["en"]
config_name: default
column_names: ["id","text","src"]
features: [{"name":"id","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"src","dtype":"string"}]
tags:
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hub_id: dutta18/omcs_50k_with_FAISS
license: []
language: []
config_name: default
column_names: ["count","fact","embeddings"]
features:
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hub_id: longhoang06/MC-ViMath
license: []
language: []
config_name: default
column_names: ["question","choices","explanation","answer"]
features:
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hub_id: Xnhyacinth/TQA-Image
license: []
language: []
config_name: default
column_names: ["id","question","answers","target","ctxs","compressed_ctxs_1","compressed_ctxs_100"]
features:
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hub_id: seonglae/wikipedia-256
license: []
language: ["en"]
config_name: gpt-4
column_names: ["id","title","url","text"]
tags:
["task_categories:question-answering","language:en","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","region:us","wikipedia","croissant"]

features:
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hub_id: rvv-karma/English-Hinglish
license: ["apache-2.0"]
language: ["en","hi"]
config_name: default
column_names: ["en","hi_en"]
features: [{"name":"en","dtype":"string"},{"name":"hi_en","dtype":"string"}]
tags:
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hub_id: rvv-karma/English-Hinglish-TOP
license: ["apache-2.0"]
language: ["en","hi"]
config_name: default
column_names: ["en","hi_en","en_parse","hi_en_parse","domain","generated_by"]
tags:
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features:
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hub_id: sonup/vehicles
license: ["cc-by-4.0"]
language: []
config_name: default
column_names: ["filename","width","height","class","xmin","ymin","xmax","ymax"]
tags:
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features:
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hub_id: Imxxn/child-mind-institute-test
license: []
language: []
config_name: default
column_names: ["series_id","step","timestamp","anglez","enmo","awake"]
features:
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hub_id: automated-research-group/gpt2-winogrande_base
license: []
language: []
config_name: default
column_names:
["id","response","request","input_perplexity","input_likelihood","output_perplexity","output_likelihood"]

features:
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hub_id: automated-research-group/winogrande_inverted_option
license: []
language: []
config_name: default
column_names: ["id","response","request"]
features:
[{"name":"id","dtype":"string"},{"name":"response","dtype":"string"},{"name":"request","dtype":"string"}]


hub_id: qbourbon/pb_trainset
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
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hub_id: ylacombe/english_dialects
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: welsh_male
column_names: ["line_id","audio","text","speaker_id"]
tags:
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features:
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hub_id: Anwaarma/BP
license: []
language: []
config_name: default
column_names: ["Target","PC","GSHARE","GA table","__index_level_0__"]
features:
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hub_id: astrosbd/fake-review
license: []
language: []
config_name: default
column_names: ["cat","note","label","text","instruction","full_instruction"]
features:
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hub_id: Xnhyacinth/Image
license: []
language: []
config_name: WQ
column_names:
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features:
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hub_id: ylacombe/google-tamil
license: ["cc-by-sa-4.0"]
language: ["ta"]
config_name: male
column_names: ["audio","text","speaker_id"]
tags:
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features:
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hub_id: ylacombe/google-chilean-spanish
license: ["cc-by-sa-4.0"]
language: ["es"]
config_name: male
column_names: ["audio","text","speaker_id"]
tags:
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features:
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hub_id: Anwaarma/BP-balanced-I04
license: []
language: []
config_name: default
column_names: ["Target","PC","GSHARE","GA table"]
features:
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hub_id: astrosbd/fake_review_hedi
license: []
language: []
config_name: default
column_names: ["cat","score","label","review"]
features:
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hub_id: Partha117/apache_bug_reports
license: ["apache-2.0"]
language: []
config_name: default
column_names:
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features:
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hub_id: OrdalieTech/Ordalie-FR-STS-benchmark
license: ["apache-2.0"]
language: ["fr"]
config_name: default
column_names: ["sentence1","sentence2","score"]
tags:
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features:
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hub_id: davidgaofc/pairwise_setup
license: ["mit"]
language: []
config_name: default
column_names: ["Question","SFT","Base_PPO","Prima_PPO"]
features:
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hub_id: mispeech/speechocean762
license: ["apache-2.0"]
language: ["en"]
config_name: default
tags:
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column_names:
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features:
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hub_id: InfernoDeep/MesogenesTask1Parquet_ALL
tags: ["size_categories:10K<n<100K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["pixel_values","labels"]
features:
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hub_id: reza-alipour/Text-Edit-Instruct-Preprocessed-4m
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["output","input","type","from"]
features:
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hub_id: Sijuade/cifar64-latents
license: ["mit"]
language: []
config_name: default
column_names: ["latent","noised_latents","noise","timesteps","label"]
tags:
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features:
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hub_id: pvisnrt/capstone_hal_binary
license: ["mit"]
language: []
config_name: default
column_names: ["source","summary_target","tags"]
features:
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hub_id: arieg/fma_small_images
license: []
language: []
config_name: default
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