# datasets

hub_id: stephenwalker/books3-labeled
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["book","quality","assessment","category","author"]
features:
[{"name":"book","dtype":"string"},{"name":"quality","dtype":"float64"},{"name":"assessment","dtype":"string"},{"name":"category","sequence":"string"},{"name":"author","dtype":"string"}]


hub_id: areias/conll2003-generative
license: ["other"]
language: ["en"]
config_name: default
column_names: ["id","tokens","pos_tags","chunk_tags","ner_tags","ner_labels","sentence","entities"]
tags:
["task_categories:text-generation","task_categories:token-classification","language:en","license:other","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

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


hub_id: EtashGuha/JapaneseDocQA
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["image","question","original_answer","text"]
features:
[{"name":"image","dtype":"image"},{"name":"question","dtype":"string"},{"name":"original_answer","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: lsnoo/CI_3y_15s_clean_shorter
license: []
language: []
config_name: default
column_names:
["filename","tarUtt_K","tarPron","commonPron","tarPron_jamo","commonPron_jamo","ge_K","ar_K","pr_K","vq_K","ge_L","ar_L","pr_L","vq_L","ge_C","ar_C","pr_C","vq_C","ge_AVG","ar_AVG","pr_AVG","vq_AVG","shimmer","HNR","nVB","perVB","med","mean","std","min","max","total_duration","speech_duration","speaking_rate","articulation_rate","npause","asd","phon_ratio","pause_dur","CPPvoiceDet","CPPNOvoiceDet","0","1","2","3","4","5","6","7","8","9","10","11","12","audio","__index_level_0__"]

features:
[{"name":"filename","dtype":"string"},{"name":"tarUtt_K","dtype":"string"},{"name":"tarPron","dtype":"string"},{"name":"commonPron","dtype":"string"},{"name":"tarPron_jamo","dtype":"string"},{"name":"commonPron_jamo","dtype":"string"},{"name":"ge_K","dtype":"float64"},{"name":"ar_K","dtype":"float64"},{"name":"pr_K","dtype":"float64"},{"name":"vq_K","dtype":"float64"},{"name":"ge_L","dtype":"float64"},{"name":"ar_L","dtype":"float64"},{"name":"pr_L","dtype":"float64"},{"name":"vq_L","dtype":"float64"},{"name":"ge_C","dtype":"float64"},{"name":"ar_C","dtype":"float64"},{"name":"pr_C","dtype":"float64"},{"name":"vq_C","dtype":"float64"},{"name":"ge_AVG","dtype":"float64"},{"name":"ar_AVG","dtype":"float64"},{"name":"pr_AVG","dtype":"float64"},{"name":"vq_AVG","dtype":"float64"},{"name":"shimmer","dtype":"string"},{"name":"HNR","dtype":"float64"},{"name":"nVB","dtype":"float64"},{"name":"perVB","dtype":"string"},{"name":"med","dtype":"string"},{"name":"mean","dtype":"float64"},{"name":"std","dtype":"string"},{"name":"min","dtype":"float64"},{"name":"max","dtype":"float64"},{"name":"total_duration","dtype":"float64"},{"name":"speech_duration","dtype":"float64"},{"name":"speaking_rate","dtype":"float64"},{"name":"articulation_rate","dtype":"float64"},{"name":"npause","dtype":"float64"},{"name":"asd","dtype":"float64"},{"name":"phon_ratio","dtype":"float64"},{"name":"pause_dur","dtype":"float64"},{"name":"CPPvoiceDet","dtype":"float64"},{"name":"CPPNOvoiceDet","dtype":"float64"},{"name":"0","dtype":"float64"},{"name":"1","dtype":"float64"},{"name":"2","dtype":"float64"},{"name":"3","dtype":"float64"},{"name":"4","dtype":"float64"},{"name":"5","dtype":"float64"},{"name":"6","dtype":"float64"},{"name":"7","dtype":"float64"},{"name":"8","dtype":"float64"},{"name":"9","dtype":"float64"},{"name":"10","dtype":"float64"},{"name":"11","dtype":"float64"},{"name":"12","dtype":"float64"},{"name":"audio","dtype":"audio"},{"name":"__index_level_0__","dtype":"int64"}]


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

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


hub_id: LanguageShades/BiasShadesBaseEval_Qwen_Qwen2_7B
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["index","subset","bias_type","stereotype_origin_langs","stereotype_valid_langs","stereotype_valid_regions","stereotyped_group","ar_biased_sentence","ar_biased_template","ar_is_expression","ar_comments","ar_tokens_Qwen_Qwen2-7B","ar_logprob_Qwen_Qwen2-7B","bn_biased_sentence","bn_biased_template","bn_is_expression","bn_comments","bn_tokens_Qwen_Qwen2-7B","bn_logprob_Qwen_Qwen2-7B","pt_br_biased_sentence","pt_br_biased_template","pt_br_is_expression","pt_br_comments","pt_br_tokens_Qwen_Qwen2-7B","pt_br_logprob_Qwen_Qwen2-7B","zh_biased_sentence","zh_biased_template","zh_is_expression","zh_comments","zh_tokens_Qwen_Qwen2-7B","zh_logprob_Qwen_Qwen2-7B","zh_hant_biased_sentence","zh_hant_biased_template","zh_hant_is_expression","zh_hant_comments","zh_hant_tokens_Qwen_Qwen2-7B","zh_hant_logprob_Qwen_Qwen2-7B","nl_biased_sentence","nl_biased_template","nl_is_expression","nl_comments","nl_tokens_Qwen_Qwen2-7B","nl_logprob_Qwen_Qwen2-7B","en_biased_sentence","en_biased_template","en_is_expression","en_comments","en_tokens_Qwen_Qwen2-7B","en_logprob_Qwen_Qwen2-7B","fr_biased_sentence","fr_biased_template","fr_is_expression","fr_comments","fr_tokens_Qwen_Qwen2-7B","fr_logprob_Qwen_Qwen2-7B","de_biased_sentence","de_biased_template","de_is_expression","de_comments","de_tokens_Qwen_Qwen2-7B","de_logprob_Qwen_Qwen2-7B","hi_biased_sentence","hi_biased_template","hi_is_expression","hi_comments","hi_tokens_Qwen_Qwen2-7B","hi_logprob_Qwen_Qwen2-7B","it_biased_sentence","it_biased_template","it_is_expression","it_comments","it_tokens_Qwen_Qwen2-7B","it_logprob_Qwen_Qwen2-7B","mr_biased_sentence","mr_biased_template","mr_is_expression","mr_comments","mr_tokens_Qwen_Qwen2-7B","mr_logprob_Qwen_Qwen2-7B","pl_biased_sentence","pl_biased_template","pl_is_expression","pl_comments","pl_tokens_Qwen_Qwen2-7B","pl_logprob_Qwen_Qwen2-7B","ro_biased_sentence","ro_biased_template","ro_is_expression","ro_comments","ro_tokens_Qwen_Qwen2-7B","ro_logprob_Qwen_Qwen2-7B","ru_biased_sentence","ru_biased_template","ru_is_expression","ru_comments","ru_tokens_Qwen_Qwen2-7B","ru_logprob_Qwen_Qwen2-7B","es_biased_sentence","es_biased_template","es_is_expression","es_comments","es_tokens_Qwen_Qwen2-7B","es_logprob_Qwen_Qwen2-7B"]

features:
[{"name":"index","dtype":"float64"},{"name":"subset","dtype":"string"},{"name":"bias_type","dtype":"string"},{"name":"stereotype_origin_langs","sequence":"string"},{"name":"stereotype_valid_langs","sequence":"string"},{"name":"stereotype_valid_regions","sequence":"string"},{"name":"stereotyped_group","dtype":"string"},{"name":"ar_biased_sentence","dtype":"string"},{"name":"ar_biased_template","dtype":"null"},{"name":"ar_is_expression","dtype":"string"},{"name":"ar_comments","dtype":"string"},{"name":"ar_tokens_Qwen_Qwen2-7B","sequence":"string"},{"name":"ar_logprob_Qwen_Qwen2-7B","sequence":"float64"},{"name":"bn_biased_sentence","dtype":"string"},{"name":"bn_biased_template","dtype":"string"},{"name":"bn_is_expression","dtype":"string"},{"name":"bn_comments","dtype":"null"},{"name":"bn_tokens_Qwen_Qwen2-7B","sequence":"string"},{"name":"bn_logprob_Qwen_Qwen2-7B","sequence":"float64"},{"name":"pt_br_biased_sentence","dtype":"string"},{"name":"pt_br_biased_template","dtype":"string"},{"name":"pt_br_is_expression","dtype":"string"},{"name":"pt_br_comments","dtype":"string"},{"name":"pt_br_tokens_Qwen_Qwen2-7B","sequence":"string"},{"name":"pt_br_logprob_Qwen_Qwen2-7B","sequence":"float64"},{"name":"zh_biased_sentence","dtype":"string"},{"name":"zh_biased_template","dtype":"null"},{"name":"zh_is_expression","dtype":"string"},{"name":"zh_comments","dtype":"string"},{"name":"zh_tokens_Qwen_Qwen2-7B","sequence":"string"},{"name":"zh_logprob_Qwen_Qwen2-7B","sequence":"float64"},{"name":"zh_hant_biased_sentence","dtype":"string"},{"name":"zh_hant_biased_template","dtype":"null"},{"name":"zh_hant_is_expression","dtype":"string"},{"name":"zh_hant_comments","dtype":"string"},{"name":"zh_hant_tokens_Qwen_Qwen2-7B","sequence":"string"},{"name":"zh_hant_logprob_Qwen_Qwen2-7B","sequence":"float64"},{"name":"nl_biased_sentence","dtype":"string"},{"name":"nl_biased_template","dtype":"string"},{"name":"nl_is_expression","dtype":"string"},{"name":"nl_comments","dtype":"string"},{"name":"nl_tokens_Qwen_Qwen2-7B","sequence":"string"},{"name":"nl_logprob_Qwen_Qwen2-7B","sequence":"float64"},{"name":"en_biased_sentence","dtype":"string"},{"name":"en_biased_template","dtype":"string"},{"name":"en_is_expression","dtype":"string"},{"name":"en_comments","dtype":"string"},{"name":"en_tokens_Qwen_Qwen2-7B","sequence":"string"},{"name":"en_logprob_Qwen_Qwen2-7B","sequence":"float64"},{"name":"fr_biased_sentence","dtype":"string"},{"name":"fr_biased_template","dtype":"string"},{"name":"fr_is_expression","dtype":"null"},{"name":"fr_comments","dtype":"string"},{"name":"fr_tokens_Qwen_Qwen2-7B","sequence":"string"},{"name":"fr_logprob_Qwen_Qwen2-7B","sequence":"float64"},{"name":"de_biased_sentence","dtype":"string"},{"name":"de_biased_template","dtype":"string"},{"name":"de_is_expression","dtype":"string"},{"name":"de_comments","dtype":"string"},{"name":"de_tokens_Qwen_Qwen2-7B","sequence":"string"},{"name":"de_logprob_Qwen_Qwen2-7B","sequence":"float64"},{"name":"hi_biased_sentence","dtype":"string"},{"name":"hi_biased_template","dtype":"string"},{"name":"hi_is_expression","dtype":"string"},{"name":"hi_comments","dtype":"string"},{"name":"hi_tokens_Qwen_Qwen2-7B","sequence":"string"},{"name":"hi_logprob_Qwen_Qwen2-7B","sequence":"float64"},{"name":"it_biased_sentence","dtype":"string"},{"name":"it_biased_template","dtype":"string"},{"name":"it_is_expression","dtype":"null"},{"name":"it_comments","dtype":"null"},{"name":"it_tokens_Qwen_Qwen2-7B","sequence":"string"},{"name":"it_logprob_Qwen_Qwen2-7B","sequence":"float64"},{"name":"mr_biased_sentence","dtype":"string"},{"name":"mr_biased_template","dtype":"string"},{"name":"mr_is_expression","dtype":"null"},{"name":"mr_comments","dtype":"string"},{"name":"mr_tokens_Qwen_Qwen2-7B","sequence":"string"},{"name":"mr_logprob_Qwen_Qwen2-7B","sequence":"float64"},{"name":"pl_biased_sentence","dtype":"string"},{"name":"pl_biased_template","dtype":"string"},{"name":"pl_is_expression","dtype":"string"},{"name":"pl_comments","dtype":"null"},{"name":"pl_tokens_Qwen_Qwen2-7B","sequence":"string"},{"name":"pl_logprob_Qwen_Qwen2-7B","sequence":"float64"},{"name":"ro_biased_sentence","dtype":"string"},{"name":"ro_biased_template","dtype":"string"},{"name":"ro_is_expression","dtype":"null"},{"name":"ro_comments","dtype":"string"},{"name":"ro_tokens_Qwen_Qwen2-7B","sequence":"string"},{"name":"ro_logprob_Qwen_Qwen2-7B","sequence":"float64"},{"name":"ru_biased_sentence","dtype":"string"},{"name":"ru_biased_template","dtype":"string"},{"name":"ru_is_expression","dtype":"string"},{"name":"ru_comments","dtype":"string"},{"name":"ru_tokens_Qwen_Qwen2-7B","sequence":"string"},{"name":"ru_logprob_Qwen_Qwen2-7B","sequence":"float64"},{"name":"es_biased_sentence","dtype":"string"},{"name":"es_biased_template","dtype":"string"},{"name":"es_is_expression","dtype":"null"},{"name":"es_comments","dtype":"string"},{"name":"es_tokens_Qwen_Qwen2-7B","sequence":"string"},{"name":"es_logprob_Qwen_Qwen2-7B","sequence":"float64"}]


hub_id: k011/startup_eligibility_scores
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["text","label","weighted_score","sentiment_label","__index_level_0__"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":"string"},{"name":"weighted_score","dtype":"float64"},{"name":"sentiment_label","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: pythainlp/oasst2_dpo_pairs_enth
license: ["apache-2.0"]
language: ["en","th"]
config_name: default
column_names: ["prompt_id","prompt","messages","chosen","rejected","score_chosen","score_rejected","lang"]
tags:
["task_categories:text-generation","language:en","language:th","license:apache-2.0","size_categories:1M<n<10M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","dpo","orpo","croissant"]


hub_id: CaoYifei/test
license: []
language: []
config_name: default
column_names:
["file_name","text","transcription_normalised","audio","gender","utterance_pitch_mean","utterance_pitch_std","snr","c50","speaking_rate","phonemes","pitch","noise","reverberation","speech_monotony"]

features:
[{"name":"file_name","dtype":"string"},{"name":"text","dtype":"string"},{"name":"transcription_normalised","dtype":"string"},{"name":"audio","dtype":"audio"},{"name":"gender","dtype":"string"},{"name":"utterance_pitch_mean","dtype":"float32"},{"name":"utterance_pitch_std","dtype":"float32"},{"name":"snr","dtype":"float64"},{"name":"c50","dtype":"float64"},{"name":"speaking_rate","dtype":"string"},{"name":"phonemes","dtype":"string"},{"name":"pitch","dtype":"string"},{"name":"noise","dtype":"string"},{"name":"reverberation","dtype":"string"},{"name":"speech_monotony","dtype":"string"}]


hub_id: BroDeadlines/TEST.PART_CLUSTER.raptor.edu_tdt_data
license: []
language: []
config_name: default
column_names: ["text","embd","cluster","doc_ids","level_id","__index_level_0__"]
features:
[{"name":"text","dtype":"string"},{"name":"embd","sequence":"float64"},{"name":"cluster","sequence":"float64"},{"name":"doc_ids","dtype":"string"},{"name":"level_id","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: BroDeadlines/TEST.PART_SUMMERIZE.raptor.edu_tdt_data
license: []
language: []
config_name: default
column_names: ["summaries","level","cluster","doc_ids","level_id","__index_level_0__"]
features:
[{"name":"summaries","dtype":"string"},{"name":"level","dtype":"int64"},{"name":"cluster","dtype":"float64"},{"name":"doc_ids","dtype":"string"},{"name":"level_id","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: anon-auth/shiksha
license: []
language: []
config_name: default
column_names: ["src_lang","tgt_lang","src_text","tgt_text","score","course_id","lecture_id"]
features:
[{"name":"src_lang","dtype":{"class_label":{"names":{"0":"eng_Latn","1":"ben_Beng","2":"guj_Gujr","3":"hin_Deva","4":"kan_Knda","5":"mal_Mlym","6":"mar_Deva","7":"tam_Taml","8":"tel_Telu"}}}},{"name":"tgt_lang","dtype":{"class_label":{"names":{"0":"eng_Latn","1":"ben_Beng","2":"guj_Gujr","3":"hin_Deva","4":"kan_Knda","5":"mal_Mlym","6":"mar_Deva","7":"tam_Taml","8":"tel_Telu"}}}},{"name":"src_text","dtype":"string"},{"name":"tgt_text","dtype":"string"},{"name":"score","dtype":"float64"},{"name":"course_id","dtype":"string"},{"name":"lecture_id","dtype":"string"}]


hub_id: ziemke/hf-rl-leaderboard-results_v2
license: []
language: []
config_name: default
column_names:
["user_id","model_id","sha","status","env_id","episodic_returns","diambra_submission","diambra_user"]

features:
[{"name":"user_id","dtype":"string"},{"name":"model_id","dtype":"string"},{"name":"sha","dtype":"string"},{"name":"status","dtype":"string"},{"name":"env_id","dtype":"string"},{"name":"episodic_returns","sequence":"float64"},{"name":"diambra_submission","dtype":"float64"},{"name":"diambra_user","dtype":"string"}]


hub_id: Macromrit/ayur-qa-shuffled-split
license: []
language: []
config_name: default
column_names: ["instruction","question","answer","text"]
features:
[{"name":"instruction","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: ashourzadeh7/Squadv2-llama2-1k
license: []
language: []
config_name: default
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","struct":[{"name":"answer_start","sequence":"int64"},{"name":"text","sequence":"string"}]},{"name":"text","dtype":"string"}]


hub_id: ahmedmbutt/PTS-Dataset
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["Text","Summarize"]
features: [{"name":"Text","dtype":"string"},{"name":"Summarize","dtype":"string"}]
tags:
["task_categories:summarization","language:en","license:mit","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: CaoYifei/generated
license: []
language: []
config_name: default
column_names:
["file_name","text","transcription_normalised","audio","gender","utterance_pitch_mean","utterance_pitch_std","snr","c50","speaking_rate","phonemes","pitch","noise","reverberation","speech_monotony","prompt_text","generated_text","text_description"]

features:
[{"name":"file_name","dtype":"string"},{"name":"text","dtype":"string"},{"name":"transcription_normalised","dtype":"string"},{"name":"audio","dtype":"audio"},{"name":"gender","dtype":"string"},{"name":"utterance_pitch_mean","dtype":"float32"},{"name":"utterance_pitch_std","dtype":"float32"},{"name":"snr","dtype":"float64"},{"name":"c50","dtype":"float64"},{"name":"speaking_rate","dtype":"string"},{"name":"phonemes","dtype":"string"},{"name":"pitch","dtype":"string"},{"name":"noise","dtype":"string"},{"name":"reverberation","dtype":"string"},{"name":"speech_monotony","dtype":"string"},{"name":"prompt_text","dtype":"string"},{"name":"generated_text","dtype":"string"},{"name":"text_description","dtype":"string"}]


hub_id: YANG-Cheng/tmp
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["image1","image2"]
features: [{"name":"image1","dtype":"image"},{"name":"image2","dtype":"image"}]
tags:
["task_categories:image-to-text","task_categories:image-to-image","task_categories:text-generation","language:en","license:apache-2.0","size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","region:us","Multimodal","Code Generation","Large Language Models","croissant"]


hub_id: Mohamed-Ahmed161/Disease-Symptoms
license: []
language: []
config_name: default
column_names:
["Source_URL","Disease_Name","Symptom_List","Symptom_json","Generated_Sentence_From_symptoms","Training_Prompt"]

features:
[{"name":"Source_URL","dtype":"string"},{"name":"Disease_Name","dtype":"string"},{"name":"Symptom_List","dtype":"string"},{"name":"Symptom_json","dtype":"string"},{"name":"Generated_Sentence_From_symptoms","dtype":"string"},{"name":"Training_Prompt","dtype":"string"}]


hub_id: Amanaccessassist/Mango_leaves
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"Anthracnose","1":"Bacterial Canker","2":"Cutting Weevil","3":"Die Back","4":"Gall Midge","5":"Healthy Mango Leave","6":"Powdery Mildew","7":"Sooty Mould","8":"Uknown"}}}}]


hub_id: devanshamin/PubMedDiabetes-LLM-Predictions
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["paper_id","title","abstract","label","predicted_ranked_labels","explanation"]
tags:
["task_categories:text-classification","language:en","license:apache-2.0","size_categories:10K<n<100K","json","text","datasets","mlcroissant","region:us","croissant"]

features:
[{"name":"paper_id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"abstract","dtype":"string"},{"name":"label","dtype":"string"},{"name":"predicted_ranked_labels","dtype":"string"},{"name":"explanation","dtype":"string"}]


hub_id: Zaid/datasets
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","url","text","cleaned_text","filter"]
features:
[{"name":"id","dtype":"string"},{"name":"url","dtype":"string"},{"name":"text","dtype":"string"},{"name":"cleaned_text","dtype":"string"},{"name":"filter","dtype":"string"}]


hub_id: TheSkullery/WizardLM_evol_instruct_v2_Filtered_Fuzzy_Dedup_ShareGPT
license: []
language: []
config_name: default
column_names:
["conversations","system","tools","origin","script_version","human_token_count","gpt_token_count","token_distribution","processing_time_ms"]

features:
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hub_id: NESPED-GEN/spider
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hub_id: fahdsoliman/lfqa_test_docs
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hub_id: LanguageShades/BiasShadesBaseEval_ALL
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
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hub_id: mjiwon/nikl_newspaper_2023_debate
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hub_id: enpaiva/aux
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hub_id: c3rl/IIIT-INDIC-HW-WORDS-Hindi
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hub_id: siddharthl1293/engineering_design_facts
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hub_id: vdaita/editpackft_inst
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hub_id: vdaita/gh-commits-2022-meta
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hub_id: siddharthl1293/fan_systems_facts
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column_names: ["patent_id","sentence","head","relation","tail"]
tags:
["task_categories:table-question-answering","task_categories:text2text-generation","language:en","license:mit","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","arxiv:2307.06985","region:us","engineering design","design knowledge","fan systems","croissant"]

features:
[{"name":"patent_id","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"head","dtype":"string"},{"name":"relation","dtype":"string"},{"name":"tail","dtype":"string"}]


hub_id: HFXM/LLM4Finance-consistency
license: []
language: []
config_name: default
column_names:
["company","dates","prices","tweets","tweet_sentiments","volatility","label","tweets_consistent","tweets_random","tweets_length","tweets_consistent_length","tweets_random_length","percentage_remaining"]

features:
[{"name":"company","dtype":"string"},{"name":"dates","sequence":"string"},{"name":"prices","sequence":{"sequence":"float64"}},{"name":"tweets","sequence":{"sequence":"string"}},{"name":"tweet_sentiments","sequence":{"sequence":"int64"}},{"name":"volatility","sequence":"float64"},{"name":"label","dtype":"string"},{"name":"tweets_consistent","sequence":{"sequence":"null"}},{"name":"tweets_random","sequence":{"sequence":"null"}},{"name":"tweets_length","dtype":"int64"},{"name":"tweets_consistent_length","dtype":"int64"},{"name":"tweets_random_length","dtype":"int64"},{"name":"percentage_remaining","dtype":"float64"}]


hub_id: UCLA-AGI/data-mistral-7b-instruct-sppo-iter1
license: []
language: []
config_name: default
column_names:
["prompt_id","prompt","generate_0","generate_1","generate_2","generate_3","generate_4","probability","rm_scores"]

features:
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hub_id: ittailup/snac
license: []
language: []
config_name: default
column_names:
["original_path","begin_time","end_time","original_text","audio_duration","speaker_id","book_id","snac24khz","snac24khz_audio_lenght","audio_duration_right","speaker_id_right","book_id_right","utterance_pitch_mean","utterance_pitch_std","snr","c50","speaking_rate","phonemes","gender","pitch","noise","reverberation","speech_monotony","text_description","text","snac_text"]

features:
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hub_id: BroDeadlines/TEST.NEW.PART_CLUSTER.raptor.edu_tdt_data
license: []
language: []
config_name: default
column_names: ["text","embd","cluster","doc_ids","level_id","easy_shards","hard_shards"]
features:
[{"name":"text","dtype":"string"},{"name":"embd","sequence":"float64"},{"name":"cluster","sequence":"float64"},{"name":"doc_ids","dtype":"string"},{"name":"level_id","dtype":"string"},{"name":"easy_shards","dtype":"int64"},{"name":"hard_shards","dtype":"int64"}]


hub_id: BroDeadlines/TEST.NEW.PART_SUMMERIZE.raptor.edu_tdt_data
license: []
language: []
config_name: default
column_names: ["summaries","level","cluster","doc_ids","level_id","easy_shards","hard_shards"]
features:
[{"name":"summaries","dtype":"string"},{"name":"level","dtype":"int64"},{"name":"cluster","dtype":"float64"},{"name":"doc_ids","dtype":"string"},{"name":"level_id","dtype":"string"},{"name":"easy_shards","dtype":"int64"},{"name":"hard_shards","dtype":"int64"}]


hub_id: BroDeadlines/EVAL.NEW.raptor.IR_evaluation
license: []
language: []
config_name: default
column_names: ["question","answer","url","group","doc_id","metadata","evaluation","easy_shards","hard_shards"]
features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"url","dtype":"string"},{"name":"group","dtype":"string"},{"name":"doc_id","dtype":"string"},{"name":"metadata","dtype":"string"},{"name":"evaluation","list":[{"name":"content","dtype":"string"},{"name":"doc_id","dtype":"string"},{"name":"score","dtype":"float64"}]},{"name":"easy_shards","dtype":"int64"},{"name":"hard_shards","dtype":"int64"}]


hub_id: li-ping/dpo_v1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["system","question","rejected","chosen"]
features:
[{"name":"system","dtype":"string"},{"name":"question","dtype":"string"},{"name":"rejected","dtype":"string"},{"name":"chosen","dtype":"string"}]


hub_id: udmurtNLP/udmurt_paranames_ner
license: []
language: ["udm"]
config_name: default
column_names: ["wikidata_id","eng","label","language","type"]
tags:
["language:udm","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"wikidata_id","dtype":"string"},{"name":"eng","dtype":"string"},{"name":"label","dtype":"string"},{"name":"language","dtype":"string"},{"name":"type","dtype":"string"}]


hub_id: sharifMunna/base_output
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["inputs","targets","baseModel"]
features:
[{"name":"inputs","dtype":"string"},{"name":"targets","dtype":"string"},{"name":"baseModel","dtype":"string"}]


hub_id: alibayram/doktorsitesi
license: ["cc-by-4.0"]
language: ["tr"]
config_name: default
column_names: ["doctor_title","doctor_speciality","question_content","question_answer"]
tags:
["task_categories:text-generation","task_categories:text-classification","task_categories:table-question-answering","language:tr","license:cc-by-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"doctor_title","dtype":"string"},{"name":"doctor_speciality","dtype":"string"},{"name":"question_content","dtype":"string"},{"name":"question_answer","dtype":"string"}]


hub_id: innocent-charles/Swahili-NLi-Pair
license: []
language: []
config_name: default
column_names: ["language","anchor","positive"]
features:
[{"name":"language","dtype":"string"},{"name":"anchor","dtype":"string"},{"name":"positive","dtype":"string"}]


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

column_names:
["content","warc-target-uri","warc-date","warc-record-id","quality-warnings","categories","identification-language","identification-prob","identification-consistency","script-percentage","num-sents","content-length","tlsh"]

features:
[{"name":"content","dtype":"string"},{"name":"warc-target-uri","dtype":"string"},{"name":"warc-date","dtype":"string"},{"name":"warc-record-id","dtype":"string"},{"name":"quality-warnings","sequence":"string"},{"name":"categories","sequence":"string"},{"name":"identification-language","dtype":"string"},{"name":"identification-prob","dtype":"float64"},{"name":"identification-consistency","dtype":"float64"},{"name":"script-percentage","dtype":"float64"},{"name":"num-sents","dtype":"int64"},{"name":"content-length","dtype":"int64"},{"name":"tlsh","dtype":"string"}]


hub_id: kenhktsui/CulturaP_quality_score_v2
license: []
language: []
config_name: zh
column_names: ["id","document_lang","scores","langs","text","url","collection","cc","en_text","quality_score_v2"]
features:
[{"name":"id","dtype":"int64"},{"name":"document_lang","dtype":"string"},{"name":"scores","sequence":"float64"},{"name":"langs","sequence":"string"},{"name":"text","dtype":"string"},{"name":"url","dtype":"string"},{"name":"collection","dtype":"string"},{"name":"cc","dtype":"bool"},{"name":"en_text","dtype":"string"},{"name":"quality_score_v2","dtype":"float64"}]


hub_id: bfrenan/log_to_TTP_split
license: []
language: []
config_name: default
column_names: ["source","full_log","description","level","technique","tactic"]
features:
[{"name":"source","dtype":"string"},{"name":"full_log","dtype":"string"},{"name":"description","dtype":"string"},{"name":"level","dtype":"int64"},{"name":"technique","dtype":"string"},{"name":"tactic","dtype":"string"}]


hub_id: emrecan/all-nli-tr
license: ["cc-by-3.0","cc-by-4.0","cc-by-sa-3.0","mit","other"]
language: ["tr"]
config_name: triplet
column_names: ["anchor","positive","negative"]
tags:
["task_categories:feature-extraction","task_categories:sentence-similarity","multilinguality:monolingual","language:tr","license:cc-by-3.0","license:cc-by-4.0","license:cc-by-sa-3.0","license:mit","license:other","size_categories:1M<n<10M","csv","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: BahaaEldin0/NIH-Chest-Xray-14-Augmented-70-percent
license: []
language: []
config_name: default
column_names: ["image","label","Patient Age","Patient Gender","View Position","Patient ID"]
features:
[{"name":"image","dtype":"image"},{"name":"label","sequence":"string"},{"name":"Patient Age","dtype":"int32"},{"name":"Patient Gender","dtype":"string"},{"name":"View Position","dtype":"string"},{"name":"Patient ID","dtype":"int32"}]


hub_id: sharifMunna/actual_output
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["inputs","targets","baseModel","myModel"]
features:
[{"name":"inputs","dtype":"string"},{"name":"targets","dtype":"string"},{"name":"baseModel","dtype":"string"},{"name":"myModel","dtype":"string"}]


hub_id: MKgoud/summarization-llama2-1k
license: []
language: []
config_name: default
column_names: ["Text","Summary","text"]
features:
[{"name":"Text","dtype":"string"},{"name":"Summary","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: enpaiva/aux-it
license: ["mit"]
language: []
config_name: default
column_names: ["tipo","etiqueta","ejemplo"]
features:
[{"name":"tipo","dtype":"string"},{"name":"etiqueta","dtype":"string"},{"name":"ejemplo","dtype":"string"}]


hub_id: cross-ling-know/HarryPotter-Quiz
license: ["cc"]
language: ["en","es","it","de","fr"]
config_name: default
column_names: ["question","A","B","C","D","GT"]
tags:
["task_categories:question-answering","language:en","language:es","language:it","language:de","language:fr","license:cc","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"question","dtype":"string"},{"name":"A","dtype":"string"},{"name":"B","dtype":"string"},{"name":"C","dtype":"string"},{"name":"D","dtype":"string"},{"name":"GT","dtype":"string"}]


hub_id: stojchet/deepseek-coder-1.3b-base-empty-fn
license: []
language: []
config_name: python
column_names:
["repository_name","func_path_in_repository","func_name","whole_func_string","language","func_code_string","func_code_tokens","func_documentation_string","func_documentation_tokens","split_name","func_code_url","prediction","prepared_prompt"]

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


hub_id: alvanlii/cantonese-youtube-transcription-diarized-max-filtered
license: []
language: []
config_name: default
column_names: ["audio","labels_1","channel","title"]
features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000,"decode":false}}},{"name":"labels_1","dtype":"string"},{"name":"channel","dtype":"string"},{"name":"title","dtype":"string"}]


hub_id: theojiang/imdb-input_ids-label-pairs
tags: ["size_categories:100K<n<1M","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["label","input_mask","input_ids"]
features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"neg","1":"pos"}}}},{"name":"input_mask","sequence":"int64"},{"name":"input_ids","sequence":"int32"}]


hub_id: asahi417/seamless-align-enA-frA.speaker-embedding.hubert-xl
tags: ["size_categories:100K<n<1M","tabular","text","region:us"]
license: []
language: []
config_name: subset_99
column_names:
["line_no","enA.id","enA.laser_score","frA.id","frA.laser_score","enA.audio.speaker_embedding","enA.audio.speaker_embedding.full","frA.audio.speaker_embedding","frA.audio.speaker_embedding.full"]

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


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

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


hub_id: guyhadad01/Toys_at200_hard-False_candidates20_v2
license: []
language: []
config_name: default
column_names:
["ending0","ending1","ending2","ending3","ending4","ending5","ending6","ending7","ending8","ending9","ending10","ending11","ending12","ending13","ending14","ending15","ending16","ending17","ending18","ending19","label","start_prompt"]

features:
[{"name":"ending0","dtype":"string"},{"name":"ending1","dtype":"string"},{"name":"ending2","dtype":"string"},{"name":"ending3","dtype":"string"},{"name":"ending4","dtype":"string"},{"name":"ending5","dtype":"string"},{"name":"ending6","dtype":"string"},{"name":"ending7","dtype":"string"},{"name":"ending8","dtype":"string"},{"name":"ending9","dtype":"string"},{"name":"ending10","dtype":"string"},{"name":"ending11","dtype":"string"},{"name":"ending12","dtype":"string"},{"name":"ending13","dtype":"string"},{"name":"ending14","dtype":"string"},{"name":"ending15","dtype":"string"},{"name":"ending16","dtype":"string"},{"name":"ending17","dtype":"string"},{"name":"ending18","dtype":"string"},{"name":"ending19","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"start_prompt","dtype":"string"}]


hub_id: NuclearAi/Nuke-X-GPT4o-Conversational
license: []
language: ["en"]
config_name: default
column_names: ["User","Assistant"]
features: [{"name":"User","dtype":"string"},{"name":"Assistant","dtype":"string"}]
tags:
["task_categories:question-answering","task_categories:text-generation","language:en","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","synthetic","GPT-4o","ChatGPT","croissant"]


hub_id: Anioji/test-ra
license: []
language: []
config_name: default
column_names: ["audio","transcription","speacker_id"]
features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":32000}}},{"name":"transcription","dtype":"string"},{"name":"speacker_id","dtype":"int64"}]


hub_id: Anioji/test-rb-meta
license: []
language: []
config_name: default
column_names:
["text","speacker_id","utterance_pitch_mean","utterance_pitch_std","snr","c50","speaking_rate","phonemes","noise","reverberation","speech_monotony","text_description"]

features:
[{"name":"text","dtype":"string"},{"name":"speacker_id","dtype":"int64"},{"name":"utterance_pitch_mean","dtype":"float32"},{"name":"utterance_pitch_std","dtype":"float32"},{"name":"snr","dtype":"float64"},{"name":"c50","dtype":"float64"},{"name":"speaking_rate","dtype":"string"},{"name":"phonemes","dtype":"string"},{"name":"noise","dtype":"string"},{"name":"reverberation","dtype":"string"},{"name":"speech_monotony","dtype":"string"},{"name":"text_description","dtype":"string"}]


hub_id: LeonardoFettucciari/augmented_dataset
license: []
language: []
config_name: default
column_names: ["id","premise","hypothesis","label","index"]
features:
[{"name":"id","dtype":"string"},{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":"string"},{"name":"index","dtype":"int64"}]


hub_id: DynamicSuperb/HumanScreamingDetection_Environmentdb
license: ["mit"]
language: []
config_name: default
column_names: ["file_name","file","instruction","label"]
features:
[{"name":"file_name","dtype":"string"},{"name":"file","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"label","dtype":"string"}]


hub_id: Lumpen1/MadWizardSFT-v0.1
license: []
language: []
config_name: default
column_names: ["system_prompt","conversation"]
features:
[{"name":"system_prompt","dtype":"string"},{"name":"conversation","list":[{"name":"response","dtype":"string"},{"name":"thoughts_and_reasoning","dtype":"string"},{"name":"user_input","dtype":"string"}]}]


hub_id: gowtham58/test
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","ta","tng","en"]
features:
[{"name":"id","dtype":"int64"},{"name":"ta","dtype":"string"},{"name":"tng","dtype":"string"},{"name":"en","dtype":"string"}]


hub_id: ali619/corpus-dataset-normalized-for-persian-and-english
license: []
language: ["fa","en"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["language:fa","language:en","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","farsi","persian","english","corpus","normalized","croissant"]


hub_id: ContextSearchLM/ViNLI_reranking
license: []
language: []
config_name: default
column_names: ["anchor","neg","pos"]
features:
[{"name":"anchor","dtype":"string"},{"name":"neg","sequence":"string"},{"name":"pos","sequence":"string"}]


hub_id: seungheondoh/aotm2011
license: []
language: []
config_name: default
column_names: ["mix_id","category","track_seq","track_len","timestamp","user_id"]
features:
[{"name":"mix_id","dtype":"int64"},{"name":"category","dtype":"string"},{"name":"track_seq","sequence":"string"},{"name":"track_len","dtype":"int64"},{"name":"timestamp","dtype":"string"},{"name":"user_id","dtype":"string"}]


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

features:
[{"name":"ats","dtype":"string"},{"name":"context","dtype":"string"},{"name":"sys5_obj","struct":[{"name":"focus_areas","list":[{"name":"description","dtype":"string"},{"name":"subject","dtype":"string"}]},{"name":"industries","list":[{"name":"description","dtype":"string"},{"name":"subject","dtype":"string"}]},{"name":"products_and_technologies","list":[{"name":"description","dtype":"string"},{"name":"subject","dtype":"string"}]}]},{"name":"eval_crit","struct":[{"name":"focus_areas","dtype":"float64"},{"name":"industries","dtype":"float64"},{"name":"products_and_technologies","dtype":"float64"}]},{"name":"eval_values","struct":[{"name":"focus_areas","sequence":"int64"},{"name":"industries","sequence":"int64"},{"name":"products_and_technologies","sequence":"int64"}]},{"name":"uuid","dtype":"string"},{"name":"mod_sys5_obj","dtype":"string"},{"name":"gpt-3.5-turbo_cost","dtype":"float64"},{"name":"prompt","dtype":"string"},{"name":"raw_output","dtype":"string"},{"name":"deparment_obj","dtype":"string"},{"name":"gpt-4-turbo_cost","dtype":"float64"},{"name":"sysdep_obj","struct":[{"name":"deparment","struct":[{"name":"inferred","dtype":"bool"},{"name":"jobrole_deparment","dtype":"string"}]},{"name":"focus_areas","list":[{"name":"description","dtype":"string"},{"name":"subject","dtype":"string"}]},{"name":"industries","list":[{"name":"description","dtype":"string"},{"name":"subject","dtype":"string"}]},{"name":"products_and_technologies","list":[{"name":"description","dtype":"string"},{"name":"subject","dtype":"string"}]}]},{"name":"prompt_dep","dtype":"string"},{"name":"raw_output_inf_dep","dtype":"string"},{"name":"mod_sysdep_obj","struct":[{"name":"department","struct":[{"name":"inferred","dtype":"bool"},{"name":"team","dtype":"string"},{"name":"toplevel_department","dtype":"string"}]},{"name":"focus_areas","list":[{"name":"description","dtype":"string"},{"name":"subject","dtype":"string"}]},{"name":"industries","list":[{"name":"description","dtype":"string"},{"name":"subject","dtype":"string"}]},{"name":"products_and_technologies","list":[{"name":"description","dtype":"string"},{"name":"subject","dtype":"string"}]}]},{"name":"mod_mod_sysdep_obj_raw","dtype":"string"},{"name":"department","dtype":"string"},{"name":"mod_dep_raw","dtype":"string"},{"name":"mod_answer","dtype":"string"},{"name":"mod_p&t_mod_answer_raw","dtype":"string"},{"name":"mod_p&t_mod_answer_full","dtype":"string"},{"name":"pass_pydantic","dtype":"int64"},{"name":"pass_eval_embedd","dtype":"int64"}]


hub_id: ali619/corpus-dataset-normalized-for-persian-farsi
license: []
language: ["fa"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["language:fa","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","farsi","persian","corpus","normalized","croissant"]


hub_id: RobertoSonic/DMAE-HUMEDA
tags: ["size_categories:n<1K","image","region:us"]
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"avanzada","1":"avanzada humeda","2":"leve","3":"moderada","4":"no dmae"}}}}]


hub_id: pinkieseb/nutrition_dataset
license: []
language: []
config_name: default
column_names: ["image","food_mass","calories","fat","protein","carb"]
features:
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hub_id: jkeisling/hn-crosswalk
license: []
language: []
config_name: default
column_names: ["item","kid","display_order"]
features:
[{"name":"item","dtype":"int64"},{"name":"kid","dtype":"int64"},{"name":"display_order","dtype":"int64"}]


hub_id: gowtham58/Tamil_Thanglish_English_lexicon
license: []
language: []
config_name: default
column_names: ["id","ta","tng","eng"]
features:
[{"name":"id","dtype":"int64"},{"name":"ta","dtype":"string"},{"name":"tng","dtype":"string"},{"name":"eng","dtype":"string"}]


hub_id: growth-cadet/Newmod_signals-deparment_split-newv1v2v3-574
license: []
language: []
config_name: default
column_names:
["uuid","ats_id","ats","context","cleaned_context","token_size","__index_level_0__","bs4_text","gpt-4-turbo_raw_output","gpt-4-turbo_response","gpt-4-turbo_cost","prompt","raw_output","department","mod_dep_raw","mod_answer","mod_p&t_mod_answer_raw","new_p&t_answer","prompt_0"]

features:
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hub_id: NoaCA14/quac_Llama3
license: []
language: []
config_name: default
column_names: ["paragraph","question","answer","sentence","text"]
features:
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hub_id: arrmlet/reddit_dataset_chunk_0
license: []
language: []
config_name: default
column_names: ["datetime","label","content"]
features:
[{"name":"datetime","dtype":"string"},{"name":"label","dtype":"string"},{"name":"content","dtype":"binary"}]


hub_id: arrmlet/reddit_dataset
license: []
language: []
config_name: default
column_names: ["text","label","dataType","communityName","datetime"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":"string"},{"name":"dataType","dtype":"string"},{"name":"communityName","dtype":"string"},{"name":"datetime","dtype":"string"}]


hub_id: arrmlet/twitter
license: []
language: []
config_name: default
column_names: ["text","label","tweet_hashtags","datetime"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":"string"},{"name":"tweet_hashtags","sequence":"string"},{"name":"datetime","dtype":"string"}]


hub_id: routellm/mmlu_battles
license: []
language: []
config_name: default
column_names:
["id","model_a","model_b","prompt","response_a","response_b","winner_model_a","winner_model_b","winner_tie"]

features:
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hub_id: shipWr3ck/asqa_cleaned
license: []
language: []
config_name: default
column_names: ["id","context","qa"]
features:
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hub_id: YurtsAI/natural_questions_yurts_rag_ranked_contexts_subset_1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["query_id","query","yurts_rag_contexts","retrieved_docs_meta"]
features:
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hub_id: gvlassis/california_housing
license: ["mit"]
language: ["en"]
config_name: default
tags:
["task_categories:tabular-regression","language:en","license:mit","size_categories:10K<n<100K","parquet","tabular","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["MedInc","HouseAge","AveRooms","AveBedrms","Population","AveOccup","Latitude","Longitude","MedHouseVal"]

features:
[{"name":"MedInc","dtype":"float64"},{"name":"HouseAge","dtype":"float64"},{"name":"AveRooms","dtype":"float64"},{"name":"AveBedrms","dtype":"float64"},{"name":"Population","dtype":"float64"},{"name":"AveOccup","dtype":"float64"},{"name":"Latitude","dtype":"float64"},{"name":"Longitude","dtype":"float64"},{"name":"MedHouseVal","dtype":"float64"}]


hub_id: vinhtran2611/MetaMathQA_filtered
tags: ["parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["original_question","response","type","query"]
features:
[{"name":"original_question","dtype":"string"},{"name":"response","dtype":"string"},{"name":"type","dtype":"string"},{"name":"query","dtype":"string"}]


hub_id: thinkPy/synthetic-dataset_cultura-guarani_llama3-70B
license: ["cc-by-sa-4.0"]
language: []
config_name: default
column_names:
["id","tipo","contexto","preguntas","modelo","pa\u00eds","idioma","periodo","capitulo","referencias"]

features:
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hub_id: nuua/ko-deplot-dataset
license: []
language: []
config_name: default
column_names: ["image","text","label"]
features:
[{"name":"image","dtype":"image"},{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"bar","1":"line","2":"combination","3":"pie"}}}}]


hub_id: ShotaSato0916/architecture-multiple-choices
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Category","Question","Choice1","Choice2","Choice3","Choice4","Answer"]
features:
[{"name":"Category","dtype":"string"},{"name":"Question","dtype":"string"},{"name":"Choice1","dtype":"string"},{"name":"Choice2","dtype":"string"},{"name":"Choice3","dtype":"string"},{"name":"Choice4","dtype":"string"},{"name":"Answer","dtype":"int64"}]


hub_id: vinhtran2611/arxiv-physics-instruct-tune-30k_filtered_formated
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["instruction","input","output","system","history"]
features:
[{"name":"instruction","dtype":"string"},{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"system","dtype":"string"},{"name":"history","sequence":"null"}]


hub_id: vinhtran2611/chemistry_dataset_alpaca_filtered_formated
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input","output","instruction","system","history"]
features:
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hub_id: kotoba-speech/reazonspeech-all-v2-overfit_tokenized_bpe
license: []
language: []
config_name: default
column_names:
["audio_tokens","spk_embed","text_tokens","dataset_id","key","duration","lang","ratio","audio_tokens_bpe"]

features:
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hub_id: guyhadad01/Toys_at10_hard-False_candidates100_v2
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: ContextSearchLM/ViNLI_triplet
license: []
language: []
config_name: default
column_names: ["anchor","neg","pos"]
features:
[{"name":"anchor","dtype":"string"},{"name":"neg","dtype":"string"},{"name":"pos","dtype":"string"}]


hub_id: mwkldeveloper/TW-Kai_with_Cubic_11_all_128
license: []
language: []
config_name: default
column_names: ["char","unicode","images","stroke","strokes_sequence","components","font"]
features:
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hub_id: amphora/aya-15-test
license: []
language: []
config_name: default
column_names:
["inputs","targets","language","language_code","split","lang_type","noisy_target_0","noisy_target_1","noisy_target_2","noisy_target_3","noisy_target_4","noisy_target_5","paraphrased_input"]

features:
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hub_id: huangqingming/scholaread
license: ["agpl-3.0"]
language: ["zh","en"]
config_name: default
column_names: ["output","input","instruction"]
tags:
["task_categories:translation","language:zh","language:en","license:agpl-3.0","size_categories:1M<n<10M","json","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: IoDmitri/OAST-qdiff
license: []
language: []
config_name: default
column_names: ["prompt","outputs","message_id"]
features:
[{"name":"prompt","sequence":"string"},{"name":"outputs","sequence":"string"},{"name":"message_id","dtype":"string"}]


hub_id: Bekbolat/gun-detection-paligemma
license: []
language: []
config_name: default
column_names: ["image_id","image","width","height","objects","label_for_paligemma"]
features:
[{"name":"image_id","dtype":"int64"},{"name":"image","dtype":"image"},{"name":"width","dtype":"int64"},{"name":"height","dtype":"int64"},{"name":"objects","struct":[{"name":"id","list":"int64"},{"name":"area","list":"float32"},{"name":"bbox","list":{"list":"float32"}},{"name":"category","list":"int64"}]},{"name":"label_for_paligemma","dtype":"string"}]


hub_id: Thun09/source_instruction
license: []
language: ["en"]
config_name: queries
column_names: ["_id","text","instruction_og","instruction_changed","keywords","short_query"]
tags:
["task_categories:text-retrieval","multilinguality:monolingual","language:en","size_categories:n<1K","json","text","datasets","pandas","mlcroissant","region:us","text-retrieval","instruction-retrieval","croissant"]


hub_id: vinhtran2611/semiconductor_instructions_v3.2_filtered_formated
license: []
language: []
config_name: default
column_names: ["source","input","instruction","output","text","type","system","history"]
features:
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hub_id: jhaabhi/meditations-atoms
license: []
language: []
config_name: default
column_names: ["topic","entities","text","book","para","chunk_idx"]
features:
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hub_id: alabnii/morehopqa
license: ["cc-by-4.0"]
language: ["en"]
config_name: verified
tags:
["task_categories:question-answering","language:en","license:cc-by-4.0","size_categories:1K<n<10K","arxiv:2406.13397","region:us","multi-hop"]

column_names:
["question","context","answer","previous_question","previous_answer","question_decomposition","question_on_last_hop","answer_type","previous_answer_type","no_of_hops","reasoning_type"]

features:
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hub_id: UCLA-AGI/data-mistral-7b-instruct-sppo-iter3
license: []
language: []
config_name: default
column_names:
["prompt_id","prompt","probability","rm_scores","generate_0","generate_1","generate_2","generate_3","generate_4"]

features:
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hub_id: fruk19/aicook_asr
license: []
language: []
config_name: default
column_names: ["audio","sentence","Dialect"]
features:
[{"name":"audio","dtype":"audio"},{"name":"sentence","dtype":"string"},{"name":"Dialect","dtype":"string"}]


hub_id: asahi417/seamless-align-deA-enA.speaker-embedding.w2vbert-600m
license: []
language: []
config_name: subset_99
column_names:
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features:
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hub_id: guychuk/code-duplicates-across-languages
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["code","label","domain_label","index"]
features:
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stage","33":"Xiaolin Wu's line algorithm","34":"XML/Output","35":"XML/Input","36":"Wordiff","37":"Write language name in 3D ASCII","38":"Word wheel","39":"Word ladder","40":"Window management","41":"Word search","42":"Window creation/X11","43":"Wilson primes of order n","44":"Word wrap","45":"Wieferich primes","46":"Window creation","47":"Weird numbers","48":"Wireworld","49":"Web scraping","50":"Word frequency","51":"War card game","52":"Vogel's approximation method","53":"Walk a directory/Non-recursively","54":"Voronoi diagram","55":"Vigen\u00e8re cipher/Cryptanalysis","56":"Water collected between towers","57":"Visualize a tree","58":"Walk a directory/Recursively","59":"Verify distribution uniformity/Naive","60":"Verhoeff algorithm","61":"Vigen\u00e8re cipher","62":"Verify distribution uniformity/Chi-squared test","63":"Video display modes","64":"Variable-length quantity","65":"Variable size/Set","66":"Vector","67":"Variadic function","68":"Variable size/Get","69":"Variable 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algorithms/Quicksort","231":"Sorting algorithms/Heapsort","232":"Sorting algorithms/Merge sort","233":"Sorting algorithms/Cocktail sort with shifting bounds","234":"Sorting Algorithms/Circle Sort","235":"Sorting algorithms/Comb sort","236":"Sorting algorithms/Bogosort","237":"Sorting algorithms/Counting sort","238":"Sorting algorithms/Gnome sort","239":"Sorting algorithms/Bead sort","240":"Sorting algorithms/Cocktail sort","241":"Sort an outline at every level","242":"Sort three variables","243":"Sort using a custom comparator","244":"Sort numbers lexicographically","245":"Sort stability","246":"Sorting algorithms/Bubble sort","247":"Sort disjoint sublist","248":"Sort a list of object identifiers","249":"Solve a Numbrix puzzle","250":"Solve a Hopido puzzle","251":"Solve the no connection puzzle","252":"Sort an integer array","253":"SOAP","254":"Smallest number k such that k+2^m is composite for all m less than k","255":"Sort an array of composite structures","256":"Solve a Holy Knight's tour","257":"Sokoban","258":"Sockets","259":"Smarandache prime-digital sequence","260":"Sleeping Beauty problem","261":"Solve a Hidato puzzle","262":"Snake","263":"Smith numbers","264":"Singleton","265":"Simulate input/Mouse","266":"Simulate input/Keyboard","267":"Simple turtle graphics","268":"Singly-linked list/Element definition","269":"Singly-linked list/Traversal","270":"Singly-linked list/Element insertion","271":"Sleep","272":"Simple windowed application","273":"Sierpinski square curve","274":"Sierpinski arrowhead curve","275":"Sierpinski triangle/Graphical","276":"Sierpinski pentagon","277":"Show the epoch","278":"Sierpinski triangle","279":"Simple database","280":"Shortest common supersequence","281":"Shoelace formula for polygonal area","282":"Shell one-liner","283":"Sierpinski carpet","284":"Short-circuit evaluation","285":"SHA-256 Merkle tree","286":"Sexy primes","287":"Set right-adjacent bits","288":"Show ASCII table","289":"SHA-1","290":"SHA-256","291":"Set puzzle","292":"Seven-sided dice from five-sided dice","293":"Sequence: smallest number greater than previous term with exactly n divisors","294":"Sequence: nth number with exactly n divisors","295":"Set consolidation","296":"Sequence: smallest number with exactly n divisors","297":"Sequence of primorial primes","298":"Set of real numbers","299":"Send an unknown method call","300":"Send email","301":"Selectively replace multiple instances of a character within a string","302":"Self numbers","303":"Sequence of primes by trial division","304":"Semiprime","305":"Semordnilap","306":"Sequence of non-squares","307":"Set","308":"Self-describing numbers","309":"Sieve of Eratosthenes","310":"SEDOLs","311":"Search in paragraph's text","312":"Secure temporary file","313":"Scope modifiers","314":"Scope/Function names and labels","315":"Sailors, coconuts and a monkey problem","316":"Same fringe","317":"Search a list of records","318":"Safe addition","319":"Safe primes and unsafe primes","320":"Ruth-Aaron numbers","321":"Runtime evaluation","322":"Runtime evaluation/In an environment","323":"Search a list","324":"RSA code","325":"Rosetta Code/Rank languages by number of users","326":"Runge-Kutta method","327":"S-expressions","328":"RPG attributes generator","329":"Rosetta Code/Rank languages by popularity","330":"Rosetta Code/Fix code tags","331":"Rosetta Code/Find unimplemented tasks","332":"Rosetta Code/Count examples","333":"Roots of unity","334":"Roots of a quadratic function","335":"Rosetta Code/Find bare lang tags","336":"Run-length encoding","337":"Roots of a function","338":"Rot-13","339":"Rock-paper-scissors","340":"Roman numerals/Decode","341":"Roman numerals/Encode","342":"Rhonda numbers","343":"Retrieve and search chat history","344":"RIPEMD-160","345":"Repunit primes","346":"Respond to an unknown method call","347":"Resistor mesh","348":"Return multiple values","349":"Reverse words in a string","350":"Rendezvous","351":"Reflection/Get 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constructs","385":"Range expansion","386":"Range extraction","387":"Quickselect algorithm","388":"Queue/Usage","389":"Quine","390":"Quaternion type","391":"Queue/Definition","392":"Pseudo-random numbers/Xorshift star","393":"Pseudo-random numbers/PCG32","394":"Pseudo-random numbers/Middle-square method","395":"Pythagorean quadruples","396":"Pythagoras tree","397":"Pseudo-random numbers/Splitmix64","398":"Pseudo-random numbers/Combined recursive generator MRG32k3a","399":"Pythagorean triples","400":"QR decomposition","401":"Program name","402":"Primorial numbers","403":"Program termination","404":"Prime triangle","405":"Problem of Apollonius","406":"Primes - allocate descendants to their ancestors","407":"Prime conspiracy","408":"Priority queue","409":"Pragmatic directives","410":"Probabilistic choice","411":"Proper divisors","412":"Primality by Wilson's theorem","413":"Polyspiral","414":"Polymorphic copy","415":"Price fraction","416":"Polynomial long division","417":"Polynomial regression","418":"Prime decomposition","419":"Poker hand analyser","420":"Polymorphism","421":"Power set","422":"Plot coordinate pairs","423":"Pointers and references","424":"Population count","425":"Primality by trial division","426":"Pinstripe/Printer","427":"Play recorded sounds","428":"Pisano period","429":"Pinstripe/Display","430":"Plasma effect","431":"Playfair cipher","432":"Pig the dice game/Player","433":"Pierpont primes","434":"Pig the dice game","435":"Permutations/Rank of a permutation","436":"Pick random element","437":"Phrase reversals","438":"Playing cards","439":"Peripheral drift illusion","440":"Permutation test","441":"Pernicious numbers","442":"Permutations by swapping","443":"Pi","444":"Permutations/Derangements","445":"Perlin noise","446":"Periodic table","447":"Percolation/Mean run density","448":"Percolation/Site percolation","449":"Percolation/Mean cluster density","450":"Perfect totient numbers","451":"Percolation/Bond percolation","452":"Perfect 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names","516":"Nonoblock","517":"Non-transitive dice","518":"Non-decimal radices/Input","519":"Non-decimal radices/Output","520":"Non-continuous subsequences","521":"Nonogram solver","522":"Nested templated data","523":"Next highest int from digits","524":"Nim game","525":"Nested function","526":"Nautical bell","527":"Negative base numbers","528":"Non-decimal radices/Convert","529":"Narcissist","530":"Natural sorting","531":"Nth root","532":"Naming conventions","533":"M\u00f6bius function","534":"N-smooth numbers","535":"Named parameters","536":"Narcissistic decimal number","537":"Musical scale","538":"Munching squares","539":"Multisplit","540":"N'th","541":"Munchausen numbers","542":"Mutual recursion","543":"N-queens problem","544":"Multiplicative order","545":"Multiple distinct objects","546":"Multi-base primes","547":"Multi-dimensional array","548":"Multiple regression","549":"Motzkin numbers","550":"Move-to-front algorithm","551":"Mouse 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anywhere","685":"K-means++ clustering","686":"Knuth shuffle","687":"Juggler sequence","688":"Julia set","689":"Joystick position","690":"Knight's tour","691":"JSON","692":"Knapsack problem/0-1","693":"Kaprekar numbers","694":"JortSort","695":"Jensen's Device","696":"Jewels and stones","697":"Jacobi symbol","698":"Jaro-Winkler distance","699":"Jacobsthal numbers","700":"Inverted syntax","701":"Jaro similarity","702":"Josephus problem","703":"Iterated digits squaring","704":"ISBN13 check digit","705":"Isqrt (integer square root) of X","706":"Intersecting number wheels","707":"Interactive programming (repl)","708":"Inverted index","709":"Introspection","710":"Integer overflow","711":"Inheritance/Multiple","712":"Inheritance/Single","713":"Input loop","714":"Integer sequence","715":"Increasing gaps between consecutive Niven numbers","716":"Infinity","717":"Idiomatically determine all the characters that can be used for symbols","718":"Index finite lists of positive 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philosophers","942":"Dijkstra's algorithm","943":"Determine if only one instance is running","944":"Discordian date","945":"Digital root","946":"Determine if a string is squeezable","947":"Determinant and permanent","948":"Determine if a string is collapsible","949":"Determine if a string has all the same characters","950":"Determine if two triangles overlap","951":"Descending primes","952":"Determine if a string has all unique characters","953":"Detect division by zero","954":"Deming's Funnel","955":"Delegates","956":"Determine if a string is numeric","957":"Delete a file","958":"Department numbers","959":"Deceptive numbers","960":"Deepcopy","961":"Deconvolution/1D","962":"Define a primitive data type","963":"Death Star","964":"Deal cards for FreeCell","965":"Deconvolution/2D+","966":"de Bruijn sequences","967":"Cyclops numbers","968":"Cut a rectangle","969":"Curzon numbers","970":"Date manipulation","971":"Day of the week","972":"Cyclotomic polynomial","973":"CUSIP","974":"Damm 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hub_id: axiong/imagenet-r
license: ["mit"]
language: []
config_name: test
column_names: ["image","wnid","class_name"]
features:
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hub_id: alexp-convotis/test1
license: []
language: []
config_name: default
column_names: ["image_id","image","width","height","objects"]
features:
[{"name":"image_id","dtype":"int64"},{"name":"image","dtype":"image"},{"name":"width","dtype":"int64"},{"name":"height","dtype":"int64"},{"name":"objects","struct":[{"name":"area","sequence":"float64"},{"name":"bbox","sequence":{"sequence":"float64"}},{"name":"bbox_id","sequence":"float64"},{"name":"category","sequence":"float64"}]}]


hub_id: plaguss/function_calling_finetune_mistral
license: []
language: []
config_name: default
column_names: ["system_message","messages","tools"]
features:
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hub_id: surya-narayanan/labeled_aux_train
license: []
language: []
config_name: default
column_names: ["question","choices","answer","q_and_op","subject"]
features:
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hub_id: lemousehunter/med-instruct-align-1_parquet
license: []
language: []
config_name: default
column_names: ["input","output","system"]
features:
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hub_id: harpreetmann/imdb_with_label_text_truncated
license: []
language: []
config_name: default
column_names: ["text","label","label_text","count_tokens"]
features:
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hub_id: ZhMax/oo-1million-gpt-4-sft
license: []
language: []
config_name: default
column_names: ["id","dataset","messages"]
features:
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hub_id: damerajee/filtering_data-v11
license: []
language: []
config_name: default
column_names: ["question_text","metadata","prompt","orig_answer_texts"]
features:
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hub_id: jianqunZ/Clarity
license: []
language: ["en"]
config_name: queries
column_names: ["_id","text"]
features: [{"name":"_id","dtype":"string"},{"name":"text","dtype":"string"}]
tags:
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hub_id: SiguienteGlobal/ESX
license: ["apache-2.0"]
language: ["es"]
config_name: default
column_names: ["messages"]
features: [{"name":"messages","dtype":"string"}]
tags:
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hub_id: growth-cadet/Newmod_signals-deparment_split-newv1v2v3-574eval
license: []
language: []
config_name: default
column_names:
["uuid","ats_id","ats","context","cleaned_context","token_size","__index_level_0__","bs4_text","gpt-4-turbo_raw_output","gpt-4-turbo_response","gpt-4-turbo_cost","prompt","raw_output","department","mod_dep_raw","mod_answer","mod_p&t_mod_answer_raw","new_p&t_answer","prompt_0","pass_pydantic","pass_eval_embedd"]

features:
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hub_id: bertin-project/bonanza-hf
license: ["cc-by-sa-4.0"]
language: ["es","ca"]
config_name: default
column_names: ["instruction","lang","source"]
tags:
["language:es","language:ca","license:cc-by-sa-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","human-feedback","croissant"]

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


hub_id: GGmorello/tmp
license: []
language: []
config_name: default
column_names: ["comment","input","label","original_idx","predicate"]
features:
[{"name":"comment","dtype":"string"},{"name":"input","dtype":"string"},{"name":"label","dtype":"string"},{"name":"original_idx","dtype":"int64"},{"name":"predicate","dtype":"string"}]


hub_id: JetBrains-Research/template-generation-ide
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["name","language","description"]
features:
[{"name":"name","dtype":"string"},{"name":"language","dtype":"string"},{"name":"description","dtype":"string"}]


hub_id: kotyson/chroma_embeddings
license: []
language: []
config_name: default
column_names: ["id","sentence","embedding"]
features:
[{"name":"id","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"embedding","sequence":"float64"}]


hub_id: heedongKilOk/QA-Dataset-mini
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["instruction","QUESTION","ANSWER"]
features:
[{"name":"instruction","dtype":"string"},{"name":"QUESTION","dtype":"string"},{"name":"ANSWER","dtype":"string"}]


hub_id: cmarkea/doc-vqa
license: ["apache-2.0"]
language: ["en","fr"]
config_name: default
column_names: ["id","paper_id","source","image","qa"]
tags:
["task_categories:visual-question-answering","language:en","language:fr","license:apache-2.0","size_categories:1M<n<10M","parquet","image","text","datasets","dask","mlcroissant","region:us","AFTdb","infoVQA","croissant"]

features:
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hub_id: mziem/label_temperature_01
license: []
language: []
config_name: default
column_names:
["file_id","token_length","content","masked_data","predict","original_comment","predicted_comment","bleu_comment","rouge_comment","Error 1","Error 2","Error 3","Additional Errors","Remarks","Accuracy","Good"]

features:
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hub_id: jhaabhi/meditations-beliefs
license: []
language: []
config_name: default
column_names: ["atom_idx","belief","description","topic","entities","text","book","para","chunk_idx"]
features:
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hub_id: jhaabhi/meditations-principles
license: []
language: []
config_name: default
column_names: ["atom_idx","principle","description","topic","entities","text","book","para","chunk_idx"]
features:
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hub_id: yazeed7/ArabicMMLU
license: []
language: []
config_name: Univ Political Science
column_names:
["ID","Source","Country","Group","Subject","Level","Question","Context","Answer Key","Option 1","Option 2","Option 3","Option 4","Option 5"]

features:
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hub_id: davanstrien/corpus-creator-test
license: []
language: []
config_name: default
column_names: ["ids","texts"]
features: [{"name":"ids","dtype":"string"},{"name":"texts","dtype":"string"}]
tags:
["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","corpus-creator","croissant"]


hub_id: aliencaocao/described-flying-objects
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["image"]
features: [{"name":"image","dtype":"image"}]
tags:
["task_categories:zero-shot-object-detection","task_categories:zero-shot-image-classification","license:apache-2.0","size_categories:1K<n<10K","parquet","image","datasets","dask","mlcroissant","region:us","flying","objects","drones","planes","croissant"]


hub_id: gabrielmbmb/distilabel-moa-test
license: []
language: []
config_name: default
column_names: ["instruction","generation","distilabel_metadata","model_name"]
features:
[{"name":"instruction","dtype":"string"},{"name":"generation","dtype":"string"},{"name":"distilabel_metadata","struct":[{"name":"raw_output_text_generation_0","dtype":"string"}]},{"name":"model_name","dtype":"string"}]


hub_id: davanstrien/MOH-Bethnal-Green
license: []
language: []
config_name: default
column_names: ["ids","texts"]
features: [{"name":"ids","dtype":"string"},{"name":"texts","dtype":"string"}]
tags:
["size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","region:us","corpus-creator","croissant"]


hub_id: kotoba-speech/test_2
license: []
language: []
config_name: subset_e
column_names:
["audio_tokens","spk_embed","text_tokens","dataset_id","key","duration","lang","ratio","text_en_gpt3.5_tokens","audio_tokens_bpe","text_tokens_llama","text_en_gpt3.5_tokens_llama"]

features:
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hub_id: jan-hq/prompt-voice
license: []
language: []
config_name: default
column_names: ["prompt","answer","length","index"]
features:
[{"name":"prompt","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"length","dtype":"int64"},{"name":"index","dtype":"int64"}]


hub_id: bjoernp/python_calling_testing
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["id","prompt","available_functions","new_prompt_conversation","conversations","interpreter_conversations"]

features:
[{"name":"id","dtype":"int64"},{"name":"prompt","dtype":"string"},{"name":"available_functions","dtype":"string"},{"name":"new_prompt_conversation","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"conversations","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"interpreter_conversations","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: thepowerfuldeez/Qwen-summarize-dataset-train
license: []
language: []
config_name: default
column_names: ["prompt","ratings","chosen","rejected"]
features:
[{"name":"prompt","dtype":"string"},{"name":"ratings","sequence":"int64"},{"name":"chosen","dtype":"string"},{"name":"rejected","dtype":"string"}]


hub_id: bshada/infi-hw
license: []
language: []
config_name: default
column_names: ["schematics","images","components_used"]
features:
[{"name":"schematics","dtype":"string"},{"name":"images","dtype":"image"},{"name":"components_used","dtype":"string"}]


hub_id: arcee-ai/cleaned-distilabel-intel-orca-dpo-pairs-binarized
license: []
language: []
config_name: default
column_names: ["id","source","system","question","chosen","rejected"]
features:
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hub_id: datafreak/Math-algebra
license: []
language: []
config_name: default
column_names: ["index","index_x","problem","level","type","solution","Text","index_y","__index_level_0__"]
features:
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hub_id: yimingzhang/PKU-SafeRLHF-safety
license: []
language: []
config_name: default
column_names: ["prompt","prompt_source","response_0","response_1","is_response_0_safe","is_response_1_safe"]
features:
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hub_id: moaimsong/english-phom
license: []
language: []
config_name: default
column_names: ["Eng","Ph"]
features: [{"name":"Eng","dtype":"string"},{"name":"Ph","dtype":"string"}]
tags:
["task_categories:translation","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: arnaudstiegler/v2_synthetic_us_passports_easy
license: []
language: []
config_name: default
column_names:
["image","Type","Passport_Number","Surname","Given_Names","Nationality","DOB","Place_of_Birth","Sex","Date_of_Issue","Authority","Date_of_Expiration","Endorsements","document_id"]

features:
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hub_id: falleco/learnlangai-general
license: ["mit"]
language: ["en","pt"]
config_name: default
column_names: ["conversations"]
tags:
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features:
[{"name":"conversations","list":[{"name":"question","dtype":"string"},{"name":"response","dtype":"string"}]}]


hub_id: arcee-ai/cleaned-OpenHermes2.5-dpo-binarized-alpha
license: []
language: []
config_name: default
column_names: ["id","source","system","question","chosen","rejected"]
features:
[{"name":"id","dtype":"string"},{"name":"source","dtype":"string"},{"name":"system","dtype":"null"},{"name":"question","dtype":"string"},{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: atgarcia/smallSoundDataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["notes","piano","xylophone","organ","guitar","violin","trumpet","recorder","banjo"]
features:
[{"name":"notes","sequence":"int64"},{"name":"piano","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"xylophone","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"organ","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"guitar","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"violin","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"trumpet","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"recorder","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"banjo","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]}]


hub_id: helloelwin/why
license: []
language: []
config_name: default
column_names: ["question","gt","ans1","ans2","acc1","acc2","agreement"]
features:
[{"name":"question","dtype":"string"},{"name":"gt","dtype":"string"},{"name":"ans1","dtype":"string"},{"name":"ans2","dtype":"string"},{"name":"acc1","dtype":"float64"},{"name":"acc2","dtype":"float64"},{"name":"agreement","dtype":"bool"}]


hub_id: atgarcia/PianoDataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["notes","piano"]
features:
[{"name":"notes","sequence":"int64"},{"name":"piano","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]}]


hub_id: codegenning/livecodebench_lite_v2
tags: ["size_categories:n<1K","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["question","starter_code","difficulty","input_output","public_input_output","title","source","date","id"]

features:
[{"name":"question","dtype":"string"},{"name":"starter_code","dtype":"string"},{"name":"difficulty","dtype":"string"},{"name":"input_output","dtype":"string"},{"name":"public_input_output","dtype":"string"},{"name":"title","dtype":"string"},{"name":"source","dtype":"string"},{"name":"date","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: atgarcia/MusicDataset
license: []
language: []
config_name: default
column_names: ["notes","music"]
features:
[{"name":"notes","sequence":"int64"},{"name":"music","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]}]


hub_id: Ahmadsameh8/QA_Generation
license: []
language: []
config_name: default
column_names: ["input","output","prompt_template"]
features:
[{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"prompt_template","dtype":"string"}]


hub_id: nebchi/kor-orpo
license: []
language: ["ko"]
config_name: default
column_names: ["prompt","chosen","rejected"]
tags:
["language:ko","size_categories:10K<n<100K","json","text","datasets","mlcroissant","region:us","croissant"]


hub_id: YurtsAI/clap_nq_rag_measurement_dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["instruction","gold_responses","relevant_source_url","relevant_source_text","relevant_entities_in_source_urls","id","gold_passages"]

features:
[{"name":"instruction","dtype":"string"},{"name":"gold_responses","sequence":"string"},{"name":"relevant_source_url","dtype":"string"},{"name":"relevant_source_text","dtype":"string"},{"name":"relevant_entities_in_source_urls","sequence":"string"},{"name":"id","dtype":"string"},{"name":"gold_passages","list":[{"name":"sentences","sequence":"string"},{"name":"text","dtype":"string"},{"name":"title","dtype":"string"}]}]


hub_id: mydroidandi/commbase-log-chats
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["content","timestamp","origin","severity","speaker","text","source","id"]
tags:
["language:en","license:apache-2.0","size_categories:n<1K","json","text","datasets","mlcroissant","region:us","Artificial Intelligence","Conversational AI","Natural Language Processing","NLP","Language Model","AI Assistant","Dialogue Systems","Human-Computer Interaction","Speech-To-Text","Text Conversation","Chat Analysis","JSON Dataset","Whisper","croissant"]

features:
[{"name":"content","dtype":"string"},{"name":"timestamp","dtype":"string"},{"name":"origin","dtype":"string"},{"name":"severity","dtype":"string"},{"name":"speaker","dtype":"string"},{"name":"text","dtype":"string"},{"name":"source","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: atgarcia/EncodedMusicDatasetUnshuffled
tags: ["size_categories:n<1K","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["notes","piano","xylophone","organ","guitar","violin","trumpet","recorder","banjo","text"]
features:
[{"name":"notes","sequence":"int64"},{"name":"piano","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"xylophone","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"organ","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"guitar","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"violin","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"trumpet","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"recorder","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"banjo","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"text","dtype":"string"}]


hub_id: atgarcia/SplitEncodedPianoDataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["text","notes","piano"]
features:
[{"name":"text","dtype":"string"},{"name":"notes","sequence":"int64"},{"name":"piano","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]}]


hub_id: dddraxxx/ocr_vqa
license: []
language: []
config_name: default
column_names: ["image","image_id","imageURL","questions","answers","title","authorName","genre"]
features:
[{"name":"image","dtype":"image"},{"name":"image_id","dtype":"string"},{"name":"imageURL","dtype":"string"},{"name":"questions","sequence":"string"},{"name":"answers","sequence":"string"},{"name":"title","dtype":"string"},{"name":"authorName","dtype":"string"},{"name":"genre","dtype":"string"}]


hub_id: atgarcia/EncodedMusicDataset
license: []
language: []
config_name: default
column_names: ["notes","music","text"]
features:
[{"name":"notes","sequence":"int64"},{"name":"music","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"text","dtype":"string"}]


hub_id: shawon/rocstories-combined
license: []
language: []
config_name: default
column_names: ["title","sentences","shuffled_sentences","gold_order"]
tags:
["size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:1604.01696","region:us","croissant"]

features:
[{"name":"title","dtype":"string"},{"name":"sentences","sequence":"string"},{"name":"shuffled_sentences","sequence":"string"},{"name":"gold_order","sequence":"int64"}]


hub_id: YurtsAI/clap_nq_rag_measurement_yurts_results
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["instruction","gold_response","relevant_source_url","relevant_source_text","relevant_entities_in_source_urls","id","gold_passages","pred_response","model_name","yurts_rag_contexts","message_date","entity_hallucinations"]

features:
[{"name":"instruction","dtype":"string"},{"name":"gold_response","dtype":"string"},{"name":"relevant_source_url","dtype":"string"},{"name":"relevant_source_text","dtype":"string"},{"name":"relevant_entities_in_source_urls","sequence":"string"},{"name":"id","dtype":"string"},{"name":"gold_passages","list":[{"name":"sentences","sequence":"string"},{"name":"text","dtype":"string"},{"name":"title","dtype":"string"}]},{"name":"pred_response","dtype":"string"},{"name":"model_name","dtype":"string"},{"name":"yurts_rag_contexts","list":[{"name":"end_index","dtype":"int64"},{"name":"field_type","dtype":"string"},{"name":"id","dtype":"string"},{"name":"score","dtype":"float64"},{"name":"source_doc_id","dtype":"string"},{"name":"start_index","dtype":"int64"},{"name":"text","dtype":"string"}]},{"name":"message_date","dtype":"string"},{"name":"entity_hallucinations","list":[{"name":"chat_message_id","dtype":"string"},{"name":"entity","dtype":"string"},{"name":"hallucinated_entity_span_end","dtype":"int64"},{"name":"hallucinated_entity_span_start","dtype":"int64"},{"name":"id","dtype":"string"}]}]


hub_id: Jetlime/nids-knowledge
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["text","url","title"]
features:
[{"name":"text","dtype":"string"},{"name":"url","dtype":"string"},{"name":"title","dtype":"string"}]


hub_id: Chaitanyakota369/Llama_quantize
license: []
language: []
config_name: default
column_names:
["main_headings_selection1_name","main_headings_selection1_url","main_headings_selection1_selection2","Unnamed: 3","Unnamed: 4","Unnamed: 5"]

features:
[{"name":"main_headings_selection1_name","dtype":"string"},{"name":"main_headings_selection1_url","dtype":"string"},{"name":"main_headings_selection1_selection2","dtype":"string"},{"name":"Unnamed: 3","dtype":"float64"},{"name":"Unnamed: 4","dtype":"float64"},{"name":"Unnamed: 5","dtype":"float64"}]


hub_id: TJPark/kr_webgpt
license: []
language: ["ko"]
config_name: default
column_names: ["question","context","chosen","rejected","gpt_score"]
tags:
["task_categories:question-answering","language:ko","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"chosen","dtype":"string"},{"name":"rejected","dtype":"string"},{"name":"gpt_score","dtype":"float64"}]


hub_id: jp1924/TechnologyScienceDocumentMachineReadingComprehensionAITrainingDataset
license: []
language: []
config_name: default
column_names: ["id","corpus","category","sentence_ls","metadata"]
features:
[{"name":"id","dtype":"int32"},{"name":"corpus","dtype":"string"},{"name":"category","dtype":"string"},{"name":"sentence_ls","list":"string"},{"name":"metadata","struct":[{"name":"doc_category","struct":[{"name":"KDC","dtype":"string"},{"name":"DDC","dtype":"string"}]},{"name":"doc_title","struct":[{"name":"kor","dtype":"string"},{"name":"eng","dtype":"string"}]},{"name":"doc_type","dtype":"string"},{"name":"doc_id","dtype":"string"},{"name":"doc_number","struct":[{"name":"ISSN","dtype":"string"},{"name":"ISBN","dtype":"string"},{"name":"DOI","dtype":"string"},{"name":"UCI","dtype":"string"}]},{"name":"doc_year","dtype":"string"},{"name":"doc_author","list":"string"},{"name":"doc_publisher","dtype":"string"},{"name":"dataset_info","struct":[{"name":"identifier","dtype":"string"},{"name":"name","dtype":"string"},{"name":"category","dtype":"string"},{"name":"last_updated","dtype":"string"}]}]}]


hub_id: Chaitanyakota369/Llama_quantize_1k
license: []
language: []
config_name: default
column_names:
["main_headings_selection1_name","main_headings_selection1_url","main_headings_selection1_selection2","Unnamed: 3","Unnamed: 4","Unnamed: 5","text"]

features:
[{"name":"main_headings_selection1_name","dtype":"string"},{"name":"main_headings_selection1_url","dtype":"string"},{"name":"main_headings_selection1_selection2","dtype":"string"},{"name":"Unnamed: 3","dtype":"float64"},{"name":"Unnamed: 4","dtype":"float64"},{"name":"Unnamed: 5","dtype":"float64"},{"name":"text","dtype":"string"}]


hub_id: Fsoft-AIC/RepoExec
license: ["mit"]
language: ["code","en"]
config_name: default
tags:
["task_categories:text-generation","language:code","language:en","license:mit","size_categories:1K<n<10K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["id","project","module","entry_point","solution","target_function_prompt","function_signature","docstring","original_docstring","docstring_tokens","cross_context","isContained","raw_solution","check","test_list","coverage","prompt"]

features:
[{"name":"id","dtype":"int64"},{"name":"project","dtype":"string"},{"name":"module","dtype":"string"},{"name":"entry_point","dtype":"string"},{"name":"solution","dtype":"string"},{"name":"target_function_prompt","dtype":"string"},{"name":"function_signature","dtype":"string"},{"name":"docstring","dtype":"string"},{"name":"original_docstring","dtype":"string"},{"name":"docstring_tokens","sequence":"string"},{"name":"cross_context","dtype":"bool"},{"name":"isContained","dtype":"bool"},{"name":"raw_solution","dtype":"string"},{"name":"check","dtype":"string"},{"name":"test_list","sequence":"string"},{"name":"coverage","dtype":"float64"},{"name":"prompt","dtype":"string"}]


hub_id: vdaita/nano-2022-commits
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["commit","subject","message","repos","patch_text","old_contents","new_contents","old_file","new_file"]

features:
[{"name":"commit","dtype":"string"},{"name":"subject","dtype":"string"},{"name":"message","dtype":"string"},{"name":"repos","dtype":"string"},{"name":"patch_text","dtype":"string"},{"name":"old_contents","dtype":"string"},{"name":"new_contents","dtype":"string"},{"name":"old_file","dtype":"string"},{"name":"new_file","dtype":"string"}]


hub_id: thanaphatt1/oz-v2.csv
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["messages","base_model","finetuned_model"]
features:
[{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"base_model","dtype":"string"},{"name":"finetuned_model","dtype":"string"}]


hub_id: NghiemAbe/Infer-Legal
license: []
language: []
config_name: default
column_names: ["question","answer","label","time"]
features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"label","dtype":"string"},{"name":"time","dtype":"float64"}]


hub_id: nics-efc/MoA_Long_Retrieval
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["key_str","key_id","value","correct_line","content","num_lines","question"]
tags:
["task_categories:question-answering","task_categories:text-generation","language:en","license:mit","size_categories:1M<n<10M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"key_str","dtype":"string"},{"name":"key_id","dtype":"int64"},{"name":"value","dtype":"int64"},{"name":"correct_line","dtype":"string"},{"name":"content","dtype":"string"},{"name":"num_lines","dtype":"int64"},{"name":"question","dtype":"string"}]


hub_id: mamunrobi35/mhist_binary
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"Hyperplastic","1":"Sessile adenoma"}}}}]


hub_id: ripper479/leetcode_150
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","title","function","content"]
features:
[{"name":"id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"function","dtype":"string"},{"name":"content","dtype":"string"}]


hub_id: clt013/malay-speech-3k-rows-dataset
license: ["cc-by-nc-nd-4.0"]
language: ["ms"]
config_name: default
column_names: ["sentence","audio"]
features: [{"name":"sentence","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}}]
tags:
["language:ms","license:cc-by-nc-nd-4.0","size_categories:1K<n<10K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: M2LabOrg/jwlang
license: ["mit"]
language: ["pt","de","fr","sv","it","es","nl"]
config_name: sv
column_names: ["client_id","audio","sentence","language","split"]
tags:
["language:pt","language:de","language:fr","language:sv","language:it","language:es","language:nl","license:mit","size_categories:1K<n<10K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","automatic-speech-recognition","speech","dataset","jw.org","multilingual","whisper","croissant"]

features:
[{"name":"client_id","dtype":"string"},{"name":"audio","dtype":"audio"},{"name":"sentence","dtype":"string"},{"name":"language","dtype":"string"},{"name":"split","dtype":"string"}]


hub_id: siacus/dv_subject
license: []
language: []
config_name: default
column_names: ["text","doi","id","Subject","prompt","Description","Title"]
features:
[{"name":"text","dtype":"string"},{"name":"doi","dtype":"string"},{"name":"id","dtype":"string"},{"name":"Subject","sequence":"string"},{"name":"prompt","dtype":"string"},{"name":"Description","dtype":"string"},{"name":"Title","dtype":"string"}]


hub_id: zbhpku/editworld_data_basicv0
license: []
language: ["en"]
config_name: default
column_names: ["original_image","instruction","target_image"]
tags:
["language:en","size_categories:1K<n<10K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"original_image","dtype":"image"},{"name":"instruction","dtype":"string"},{"name":"target_image","dtype":"image"}]


hub_id: rikeshsilwalekg/phase2dataset-stt
license: []
language: []
config_name: default
column_names: ["audio","transcription","input_length","input_features","labels","labels_length"]
features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"transcription","dtype":"string"},{"name":"input_length","dtype":"int64"},{"name":"input_features","sequence":{"sequence":"float32"}},{"name":"labels","sequence":"int64"},{"name":"labels_length","dtype":"int64"}]


hub_id: ShotaSato0916/architecture-true-false
license: []
language: []
config_name: default
column_names: ["Category","Question","Choice1","Choice2","Answer"]
features:
[{"name":"Category","dtype":"string"},{"name":"Question","dtype":"string"},{"name":"Choice1","dtype":"string"},{"name":"Choice2","dtype":"string"},{"name":"Answer","dtype":"int64"}]


hub_id: westbrook/gigaspeech-tiny
license: []
language: []
config_name: default
column_names:
["segment_id","speaker","text","audio","begin_time","end_time","audio_id","title","url","source","category","original_full_path"]

features:
[{"name":"segment_id","dtype":"string"},{"name":"speaker","dtype":"string"},{"name":"text","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"begin_time","dtype":"float32"},{"name":"end_time","dtype":"float32"},{"name":"audio_id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"url","dtype":"string"},{"name":"source","dtype":{"class_label":{"names":{"0":"audiobook","1":"podcast","2":"youtube"}}}},{"name":"category","dtype":{"class_label":{"names":{"0":"People  and  Blogs","1":"Business","2":"Nonprofits  and  Activism","3":"Crime","4":"History","5":"Pets  and  Animals","6":"News and Politics","7":"Travel and Events","8":"Kids and Family","9":"Leisure","10":"N/A","11":"Comedy","12":"News  and  Politics","13":"Sports","14":"Arts","15":"Science  and  Technology","16":"Autos  and  Vehicles","17":"Science and Technology","18":"People and Blogs","19":"Music","20":"Society and Culture","21":"Education","22":"Howto  and  Style","23":"Film  and  Animation","24":"Gaming","25":"Entertainment","26":"Travel  and  Events","27":"Health and Fitness","28":"audiobook"}}}},{"name":"original_full_path","dtype":"string"}]


hub_id: vananhle/isci-nmsc-5cates-classification
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"basal cell carcinoma","1":"melanoma","2":"melanoma metastasis","3":"nevus","4":"seborrheic keratosis","5":"squamous cell carcinoma"}}}}]


hub_id: MothersTongue/mother_tongue_dataset
license: ["mit"]
language: ["sn"]
config_name: default
column_names: ["audio","sentence"]
features: [{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"sentence","dtype":"string"}]
tags:
["task_categories:automatic-speech-recognition","language:sn","license:mit","size_categories:n<1K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","croissant"]


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


hub_id: Cnam-LMSSC/vibravox_enhanced_by_EBEN
license: ["cc-by-4.0"]
language: ["fr"]
config_name: speech_clean
tags:
["task_categories:audio-to-audio","task_categories:automatic-speech-recognition","task_categories:audio-classification","task_categories:text-to-speech","task_ids:speaker-identification","annotations_creators:expert-generated","language_creators:crowdsourced","language_creators:expert-generated","multilinguality:monolingual","language:fr","license:cc-by-4.0","size_categories:1K<n<10K","parquet","audio","text","datasets","dask","mlcroissant","arxiv:2303.10008","region:us","croissant"]

column_names:
["audio.headset_microphone","audio.forehead_accelerometer","audio.soft_in_ear_microphone","audio.rigid_in_ear_microphone","audio.temple_vibration_pickup","audio.throat_microphone","gender","speaker_id","sentence_id","duration","raw_text","normalized_text","phonemized_text"]

features:
[{"name":"audio.headset_microphone","dtype":"audio"},{"name":"audio.forehead_accelerometer","dtype":"audio"},{"name":"audio.soft_in_ear_microphone","dtype":"audio"},{"name":"audio.rigid_in_ear_microphone","dtype":"audio"},{"name":"audio.temple_vibration_pickup","dtype":"audio"},{"name":"audio.throat_microphone","dtype":"audio"},{"name":"gender","dtype":"string"},{"name":"speaker_id","dtype":"string"},{"name":"sentence_id","dtype":"int64"},{"name":"duration","dtype":"float64"},{"name":"raw_text","dtype":"string"},{"name":"normalized_text","dtype":"string"},{"name":"phonemized_text","dtype":"string"}]


hub_id: ar9av/idefics_x_data
license: []
language: []
config_name: default
column_names: ["image","is_interpolated","number_of_points","horizontal_chart","query","answers"]
features:
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hub_id: speech31/VoxAngeles_v2
license: []
language: []
config_name: default
column_names: ["audio","file","word","phn","lang"]
features:
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hub_id: hgissbkh/ALMA-Preference-Multi-System-chrF
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: bz-arc13/fc_rm_eval_pair_v1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["functions","conversation","chosen","rejected"]
features:
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hub_id: sarus-tech/fake_patients
license: []
language: []
config_name: default
column_names: ["Disease","Drug","symptoms","posology","answer","question"]
features:
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hub_id: Akhilmsd/finetuningstarcoder
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["q_id","question","date","metadata","response"]
features:
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hub_id: davanstrien/bill_summary_us_chunks-similarity-raw
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","section","prompt","generations"]
features:
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hub_id: davanstrien/bill-summary-us-similarity
license: []
language: []
config_name: default
column_names: ["anchor","positive","negative"]
tags:
["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","sentence-transformers","synthetic","synthetic-data-workshop","croissant"]


hub_id: kmpartner/dataset-cnsr
license: []
language: []
config_name: default
column_names: ["image","caption","scribble2"]
features:
[{"name":"image","dtype":"image"},{"name":"caption","dtype":"string"},{"name":"scribble2","dtype":"image"}]


hub_id: hgissbkh/ALMA-Preference-Multi-System-XCOMET
license: []
language: []
config_name: default
column_names:
["lp","src_lang","tgt_lang","src","ref","rejected","chosen","base","rejected_system","chosen_system","rejected_chrf","chosen_chrf","base_chrf","rejected_bleu","chosen_bleu","base_bleu","rejected_xcomet","chosen_xcomet","base_xcomet","rejected_kiwi","chosen_kiwi","base_kiwi"]

features:
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hub_id: davanstrien/bill_summary_us_chunks-similarity-raw-yi
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","section","generations"]
features:
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hub_id: davanstrien/bill-summary-us-similarity-yi
license: []
language: []
config_name: default
column_names: ["anchor","positive","negative"]
tags:
["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","sentence-transformers","synthetic","croissant"]


hub_id: kpriyanshu256/v0-hh-rlhf-train-Hindi-0-20000
license: []
language: []
config_name: default
column_names: ["chosen","rejected","prompt"]
features:
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hub_id: distilabel-internal-testing/serving-llm-tgi
license: []
language: []
config_name: default
column_names: ["instruction","generations","distilabel_metadata","model_name","ratings","rationales"]
features:
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hub_id: NghiemAbe/Infer-Legal-With-Score
license: []
language: []
config_name: default
column_names: ["question","answer","label","time","score"]
features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"label","dtype":"string"},{"name":"time","dtype":"float64"},{"name":"score","dtype":"int64"}]


hub_id: westbrook/gigaspeech-tiny-stage1
license: []
language: []
config_name: default
column_names:
["segment_id","speaker","text","audio","begin_time","end_time","audio_id","title","url","source","category","original_full_path","utterance_pitch_mean","utterance_pitch_std","snr","c50","speaking_rate","phonemes","stoi","si-sdr","pesq"]

features:
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hub_id: DynamicSuperb/AudioTagging_AudioSet
license: ["cc-by-4.0"]
language: []
config_name: default
column_names:
["file_name,file,instruction,label1,label2,label3,label4,label5,label6,label7,label8,label9,label10"]

features:
[{"name":"file_name,file,instruction,label1,label2,label3,label4,label5,label6,label7,label8,label9,label10","dtype":"string"}]


hub_id: unography/synth-bg-remove-v6
license: []
language: []
config_name: default
column_names: ["image","mask","source"]
features:
[{"name":"image","dtype":"image"},{"name":"mask","dtype":"image"},{"name":"source","dtype":"string"}]


hub_id: TIGER-Lab/VideoScore-Bench
license: ["apache-2.0"]
language: []
config_name: video_feedback
tags:
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column_names:
["id","images","text prompt","video link","visual quality","temporal consistency","dynamic degree","text-to-video alignment","factual consistency","conversations"]

features:
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hub_id: Vinno97/customer-service-intent-mining-hackathon
license: ["apache-2.0"]
language: ["en"]
config_name: default
tags:
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column_names:
["message","label","embedding","embedding_2d","embedding_3d","embedding_128d","embedding_256d","embedding_512d"]

features:
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hub_id: hle2000/RerankKGQA
license: []
language: []
config_name: t5xlssm_subgraphs
column_names:
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features:
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hub_id: AndresR2909/youtube_transcriptions_ingest
license: []
language: []
config_name: default
column_names:
["chanel_name","video_id","source","publish_date","duration","last_update_date","title","text","year","numero_tokens","numero_caracteres"]

features:
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hub_id: AndresR2909/youtube_transcripcions_embeddigns
license: []
language: []
config_name: default
column_names: ["chanel_name","video_id","publish_date","title","year","text","chunk_part","embedding"]
features:
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hub_id: MAD-LLMs/mad_test_sampled_ex_test1
license: []
language: []
config_name: default
column_names:
["task_prompt","dataset_name","subset_name","original_row_id","original_answer","debate_state","debate_answer","debate_rounds"]

features:
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hub_id: AndresR2909/youtube_transcripcions_vector_data_base
license: []
language: []
config_name: default
column_names:
["chanel_name","duration","last_update_date","numero_caracteres","numero_tokens","part","publish_date","source","split_tokens","text","title","video_id","year","id","embedding"]

features:
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hub_id: kdcyberdude/sttcidni
license: []
language: []
config_name: default
column_names: ["audio","duration","text","source","gender","speaker_id"]
features:
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hub_id: justhungryman/fineweb_100000_test
license: []
language: []
config_name: default
column_names: ["cluster_id","examples","category","educational_score","__index_level_0__"]
features:
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hub_id: LsTam/CQUAE_documents
license: []
language: []
config_name: default
column_names: ["title","did","data","collection","url"]
features:
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hub_id: tilak1114/pixmus
license: ["mit"]
language: []
config_name: default
column_names:
["Audio File Name","Video File Name","Audio Start Time","Audio End Time","Video Start Time","Video End Time","FPS","Duration","image_present","isVideo","captions"]

features:
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hub_id: hails/validation-pile_nih-exporter
license: []
language: []
config_name: default
column_names: ["meta","tokenized_text"]
features:
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hub_id: PatronusAI/pubmedqa-test-evaluation
license: []
language: []
config_name: default
column_names: ["_id","generated_text","score","reasoning"]
features:
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hub_id: JetBrains-Research/swe-traj-complete
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["environment","trajectory","history","info","instance_id","prediction","scorecard"]
features:
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hub_id: plaguss/argilla_sdk_distilabel_docs_queries
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: danjacobellis/imagenet_hq_mmcr_features
tags: ["size_categories:10K<n<100K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["label","features"]
features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"tench, Tinca tinca","1":"goldfish, Carassius auratus","2":"great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias","3":"tiger shark, Galeocerdo cuvieri","4":"hammerhead, hammerhead shark","5":"electric ray, crampfish, numbfish, torpedo","6":"stingray","7":"cock","8":"hen","9":"ostrich, Struthio camelus","10":"brambling, Fringilla montifringilla","11":"goldfinch, Carduelis carduelis","12":"house finch, linnet, Carpodacus mexicanus","13":"junco, snowbird","14":"indigo bunting, indigo finch, indigo bird, Passerina cyanea","15":"robin, American robin, Turdus migratorius","16":"bulbul","17":"jay","18":"magpie","19":"chickadee","20":"water ouzel, dipper","21":"kite","22":"bald eagle, American eagle, Haliaeetus leucocephalus","23":"vulture","24":"great grey owl, great gray owl, Strix nebulosa","25":"European fire salamander, Salamandra salamandra","26":"common newt, Triturus vulgaris","27":"eft","28":"spotted salamander, Ambystoma maculatum","29":"axolotl, mud puppy, Ambystoma mexicanum","30":"bullfrog, Rana catesbeiana","31":"tree frog, tree-frog","32":"tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui","33":"loggerhead, loggerhead turtle, Caretta caretta","34":"leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea","35":"mud turtle","36":"terrapin","37":"box turtle, box tortoise","38":"banded gecko","39":"common iguana, iguana, Iguana iguana","40":"American chameleon, anole, Anolis carolinensis","41":"whiptail, whiptail lizard","42":"agama","43":"frilled lizard, Chlamydosaurus kingi","44":"alligator lizard","45":"Gila monster, Heloderma suspectum","46":"green lizard, Lacerta viridis","47":"African chameleon, Chamaeleo chamaeleon","48":"Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis","49":"African crocodile, Nile crocodile, Crocodylus niloticus","50":"American alligator, Alligator mississipiensis","51":"triceratops","52":"thunder snake, worm snake, Carphophis amoenus","53":"ringneck snake, ring-necked snake, ring snake","54":"hognose snake, puff adder, sand viper","55":"green snake, grass snake","56":"king snake, kingsnake","57":"garter snake, grass snake","58":"water snake","59":"vine snake","60":"night snake, Hypsiglena torquata","61":"boa constrictor, Constrictor constrictor","62":"rock python, rock snake, Python sebae","63":"Indian cobra, Naja naja","64":"green mamba","65":"sea snake","66":"horned viper, cerastes, sand viper, horned asp, Cerastes cornutus","67":"diamondback, diamondback rattlesnake, Crotalus adamanteus","68":"sidewinder, horned rattlesnake, Crotalus cerastes","69":"trilobite","70":"harvestman, daddy longlegs, Phalangium opilio","71":"scorpion","72":"black and gold garden spider, Argiope aurantia","73":"barn spider, Araneus cavaticus","74":"garden spider, Aranea diademata","75":"black widow, Latrodectus mactans","76":"tarantula","77":"wolf spider, hunting spider","78":"tick","79":"centipede","80":"black grouse","81":"ptarmigan","82":"ruffed grouse, partridge, Bonasa umbellus","83":"prairie chicken, prairie grouse, prairie fowl","84":"peacock","85":"quail","86":"partridge","87":"African grey, African gray, Psittacus erithacus","88":"macaw","89":"sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita","90":"lorikeet","91":"coucal","92":"bee eater","93":"hornbill","94":"hummingbird","95":"jacamar","96":"toucan","97":"drake","98":"red-breasted merganser, Mergus serrator","99":"goose","100":"black swan, Cygnus atratus","101":"tusker","102":"echidna, spiny anteater, anteater","103":"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus","104":"wallaby, brush kangaroo","105":"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus","106":"wombat","107":"jellyfish","108":"sea anemone, anemone","109":"brain coral","110":"flatworm, platyhelminth","111":"nematode, nematode worm, roundworm","112":"conch","113":"snail","114":"slug","115":"sea slug, nudibranch","116":"chiton, coat-of-mail shell, sea cradle, polyplacophore","117":"chambered nautilus, pearly nautilus, nautilus","118":"Dungeness crab, Cancer magister","119":"rock crab, Cancer irroratus","120":"fiddler crab","121":"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica","122":"American lobster, Northern lobster, Maine lobster, Homarus americanus","123":"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish","124":"crayfish, crawfish, crawdad, crawdaddy","125":"hermit crab","126":"isopod","127":"white stork, Ciconia ciconia","128":"black stork, Ciconia nigra","129":"spoonbill","130":"flamingo","131":"little blue heron, Egretta caerulea","132":"American egret, great white heron, Egretta albus","133":"bittern","134":"crane","135":"limpkin, Aramus pictus","136":"European gallinule, Porphyrio porphyrio","137":"American coot, marsh hen, mud hen, water hen, Fulica americana","138":"bustard","139":"ruddy turnstone, Arenaria interpres","140":"red-backed sandpiper, dunlin, Erolia alpina","141":"redshank, Tringa totanus","142":"dowitcher","143":"oystercatcher, oyster catcher","144":"pelican","145":"king penguin, Aptenodytes patagonica","146":"albatross, mollymawk","147":"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus","148":"killer whale, killer, orca, grampus, sea wolf, Orcinus orca","149":"dugong, Dugong dugon","150":"sea lion","151":"Chihuahua","152":"Japanese spaniel","153":"Maltese dog, Maltese terrier, Maltese","154":"Pekinese, Pekingese, Peke","155":"Shih-Tzu","156":"Blenheim spaniel","157":"papillon","158":"toy terrier","159":"Rhodesian ridgeback","160":"Afghan hound, Afghan","161":"basset, basset hound","162":"beagle","163":"bloodhound, sleuthhound","164":"bluetick","165":"black-and-tan coonhound","166":"Walker hound, Walker foxhound","167":"English foxhound","168":"redbone","169":"borzoi, Russian wolfhound","170":"Irish wolfhound","171":"Italian greyhound","172":"whippet","173":"Ibizan hound, Ibizan Podenco","174":"Norwegian elkhound, elkhound","175":"otterhound, otter hound","176":"Saluki, gazelle hound","177":"Scottish deerhound, deerhound","178":"Weimaraner","179":"Staffordshire bullterrier, Staffordshire bull terrier","180":"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier","181":"Bedlington terrier","182":"Border terrier","183":"Kerry blue terrier","184":"Irish terrier","185":"Norfolk terrier","186":"Norwich terrier","187":"Yorkshire terrier","188":"wire-haired fox terrier","189":"Lakeland terrier","190":"Sealyham terrier, Sealyham","191":"Airedale, Airedale terrier","192":"cairn, cairn terrier","193":"Australian terrier","194":"Dandie Dinmont, Dandie Dinmont terrier","195":"Boston bull, Boston terrier","196":"miniature schnauzer","197":"giant schnauzer","198":"standard schnauzer","199":"Scotch terrier, Scottish terrier, Scottie","200":"Tibetan terrier, chrysanthemum dog","201":"silky terrier, Sydney silky","202":"soft-coated wheaten terrier","203":"West Highland white terrier","204":"Lhasa, Lhasa apso","205":"flat-coated retriever","206":"curly-coated retriever","207":"golden retriever","208":"Labrador retriever","209":"Chesapeake Bay retriever","210":"German short-haired pointer","211":"vizsla, Hungarian pointer","212":"English setter","213":"Irish setter, red setter","214":"Gordon setter","215":"Brittany spaniel","216":"clumber, clumber spaniel","217":"English springer, English springer spaniel","218":"Welsh springer spaniel","219":"cocker spaniel, English cocker spaniel, cocker","220":"Sussex spaniel","221":"Irish water spaniel","222":"kuvasz","223":"schipperke","224":"groenendael","225":"malinois","226":"briard","227":"kelpie","228":"komondor","229":"Old English sheepdog, bobtail","230":"Shetland sheepdog, Shetland sheep dog, Shetland","231":"collie","232":"Border collie","233":"Bouvier des Flandres, Bouviers des Flandres","234":"Rottweiler","235":"German shepherd, German shepherd dog, German police dog, alsatian","236":"Doberman, Doberman pinscher","237":"miniature pinscher","238":"Greater Swiss Mountain dog","239":"Bernese mountain dog","240":"Appenzeller","241":"EntleBucher","242":"boxer","243":"bull mastiff","244":"Tibetan mastiff","245":"French bulldog","246":"Great Dane","247":"Saint Bernard, St Bernard","248":"Eskimo dog, husky","249":"malamute, malemute, Alaskan malamute","250":"Siberian husky","251":"dalmatian, coach dog, carriage dog","252":"affenpinscher, monkey pinscher, monkey dog","253":"basenji","254":"pug, pug-dog","255":"Leonberg","256":"Newfoundland, Newfoundland dog","257":"Great Pyrenees","258":"Samoyed, Samoyede","259":"Pomeranian","260":"chow, chow chow","261":"keeshond","262":"Brabancon griffon","263":"Pembroke, Pembroke Welsh corgi","264":"Cardigan, Cardigan Welsh corgi","265":"toy poodle","266":"miniature poodle","267":"standard poodle","268":"Mexican hairless","269":"timber wolf, grey wolf, gray wolf, Canis lupus","270":"white wolf, Arctic wolf, Canis lupus tundrarum","271":"red wolf, maned wolf, Canis rufus, Canis niger","272":"coyote, prairie wolf, brush wolf, Canis latrans","273":"dingo, warrigal, warragal, Canis dingo","274":"dhole, Cuon alpinus","275":"African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus","276":"hyena, hyaena","277":"red fox, Vulpes vulpes","278":"kit fox, Vulpes macrotis","279":"Arctic fox, white fox, Alopex lagopus","280":"grey fox, gray fox, Urocyon cinereoargenteus","281":"tabby, tabby cat","282":"tiger cat","283":"Persian cat","284":"Siamese cat, Siamese","285":"Egyptian cat","286":"cougar, puma, catamount, mountain lion, painter, panther, Felis concolor","287":"lynx, catamount","288":"leopard, Panthera pardus","289":"snow leopard, ounce, Panthera uncia","290":"jaguar, panther, Panthera onca, Felis onca","291":"lion, king of beasts, Panthera leo","292":"tiger, Panthera tigris","293":"cheetah, chetah, Acinonyx jubatus","294":"brown bear, bruin, Ursus arctos","295":"American black bear, black bear, Ursus americanus, Euarctos americanus","296":"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus","297":"sloth bear, Melursus ursinus, Ursus ursinus","298":"mongoose","299":"meerkat, mierkat","300":"tiger beetle","301":"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle","302":"ground beetle, carabid beetle","303":"long-horned beetle, longicorn, longicorn beetle","304":"leaf beetle, chrysomelid","305":"dung beetle","306":"rhinoceros beetle","307":"weevil","308":"fly","309":"bee","310":"ant, emmet, pismire","311":"grasshopper, hopper","312":"cricket","313":"walking stick, walkingstick, stick insect","314":"cockroach, roach","315":"mantis, mantid","316":"cicada, cicala","317":"leafhopper","318":"lacewing, lacewing fly","319":"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk","320":"damselfly","321":"admiral","322":"ringlet, ringlet butterfly","323":"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus","324":"cabbage butterfly","325":"sulphur butterfly, sulfur butterfly","326":"lycaenid, lycaenid butterfly","327":"starfish, sea star","328":"sea urchin","329":"sea cucumber, holothurian","330":"wood rabbit, cottontail, cottontail rabbit","331":"hare","332":"Angora, Angora rabbit","333":"hamster","334":"porcupine, hedgehog","335":"fox squirrel, eastern fox squirrel, Sciurus niger","336":"marmot","337":"beaver","338":"guinea pig, Cavia cobaya","339":"sorrel","340":"zebra","341":"hog, pig, grunter, squealer, Sus scrofa","342":"wild boar, boar, Sus scrofa","343":"warthog","344":"hippopotamus, hippo, river horse, Hippopotamus amphibius","345":"ox","346":"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis","347":"bison","348":"ram, tup","349":"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis","350":"ibex, Capra ibex","351":"hartebeest","352":"impala, Aepyceros melampus","353":"gazelle","354":"Arabian camel, dromedary, Camelus dromedarius","355":"llama","356":"weasel","357":"mink","358":"polecat, fitch, foulmart, foumart, Mustela putorius","359":"black-footed ferret, ferret, Mustela nigripes","360":"otter","361":"skunk, polecat, wood pussy","362":"badger","363":"armadillo","364":"three-toed sloth, ai, Bradypus tridactylus","365":"orangutan, orang, orangutang, Pongo pygmaeus","366":"gorilla, Gorilla gorilla","367":"chimpanzee, chimp, Pan troglodytes","368":"gibbon, Hylobates lar","369":"siamang, Hylobates syndactylus, Symphalangus syndactylus","370":"guenon, guenon monkey","371":"patas, hussar monkey, Erythrocebus patas","372":"baboon","373":"macaque","374":"langur","375":"colobus, colobus monkey","376":"proboscis monkey, Nasalis larvatus","377":"marmoset","378":"capuchin, ringtail, Cebus capucinus","379":"howler monkey, howler","380":"titi, titi monkey","381":"spider monkey, Ateles geoffroyi","382":"squirrel monkey, Saimiri sciureus","383":"Madagascar cat, ring-tailed lemur, Lemur catta","384":"indri, indris, Indri indri, Indri brevicaudatus","385":"Indian elephant, Elephas maximus","386":"African elephant, Loxodonta africana","387":"lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens","388":"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca","389":"barracouta, snoek","390":"eel","391":"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch","392":"rock beauty, Holocanthus tricolor","393":"anemone fish","394":"sturgeon","395":"gar, garfish, garpike, billfish, Lepisosteus osseus","396":"lionfish","397":"puffer, pufferfish, blowfish, globefish","398":"abacus","399":"abaya","400":"academic gown, academic robe, judge's robe","401":"accordion, piano accordion, squeeze box","402":"acoustic guitar","403":"aircraft carrier, carrier, flattop, attack aircraft carrier","404":"airliner","405":"airship, dirigible","406":"altar","407":"ambulance","408":"amphibian, amphibious vehicle","409":"analog clock","410":"apiary, bee house","411":"apron","412":"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin","413":"assault rifle, assault gun","414":"backpack, back pack, knapsack, packsack, rucksack, haversack","415":"bakery, bakeshop, bakehouse","416":"balance beam, beam","417":"balloon","418":"ballpoint, ballpoint pen, ballpen, Biro","419":"Band Aid","420":"banjo","421":"bannister, banister, balustrade, balusters, handrail","422":"barbell","423":"barber chair","424":"barbershop","425":"barn","426":"barometer","427":"barrel, cask","428":"barrow, garden cart, lawn cart, wheelbarrow","429":"baseball","430":"basketball","431":"bassinet","432":"bassoon","433":"bathing cap, swimming cap","434":"bath towel","435":"bathtub, bathing tub, bath, tub","436":"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon","437":"beacon, lighthouse, beacon light, pharos","438":"beaker","439":"bearskin, busby, shako","440":"beer bottle","441":"beer glass","442":"bell cote, bell cot","443":"bib","444":"bicycle-built-for-two, tandem bicycle, tandem","445":"bikini, two-piece","446":"binder, ring-binder","447":"binoculars, field glasses, opera glasses","448":"birdhouse","449":"boathouse","450":"bobsled, bobsleigh, bob","451":"bolo tie, bolo, bola tie, bola","452":"bonnet, poke bonnet","453":"bookcase","454":"bookshop, bookstore, bookstall","455":"bottlecap","456":"bow","457":"bow tie, bow-tie, bowtie","458":"brass, memorial tablet, plaque","459":"brassiere, bra, bandeau","460":"breakwater, groin, groyne, mole, bulwark, seawall, jetty","461":"breastplate, aegis, egis","462":"broom","463":"bucket, pail","464":"buckle","465":"bulletproof vest","466":"bullet train, bullet","467":"butcher shop, meat market","468":"cab, hack, taxi, taxicab","469":"caldron, cauldron","470":"candle, taper, wax light","471":"cannon","472":"canoe","473":"can opener, tin opener","474":"cardigan","475":"car mirror","476":"carousel, carrousel, merry-go-round, roundabout, whirligig","477":"carpenter's kit, tool kit","478":"carton","479":"car wheel","480":"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM","481":"cassette","482":"cassette player","483":"castle","484":"catamaran","485":"CD player","486":"cello, violoncello","487":"cellular telephone, cellular phone, cellphone, cell, mobile phone","488":"chain","489":"chainlink fence","490":"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour","491":"chain saw, chainsaw","492":"chest","493":"chiffonier, commode","494":"chime, bell, gong","495":"china cabinet, china closet","496":"Christmas stocking","497":"church, church building","498":"cinema, movie theater, movie theatre, movie house, picture palace","499":"cleaver, meat cleaver, chopper","500":"cliff dwelling","501":"cloak","502":"clog, geta, patten, sabot","503":"cocktail shaker","504":"coffee mug","505":"coffeepot","506":"coil, spiral, volute, whorl, helix","507":"combination lock","508":"computer keyboard, keypad","509":"confectionery, confectionary, candy store","510":"container ship, containership, container vessel","511":"convertible","512":"corkscrew, bottle screw","513":"cornet, horn, trumpet, trump","514":"cowboy boot","515":"cowboy hat, ten-gallon hat","516":"cradle","517":"crane2","518":"crash helmet","519":"crate","520":"crib, cot","521":"Crock Pot","522":"croquet ball","523":"crutch","524":"cuirass","525":"dam, dike, dyke","526":"desk","527":"desktop computer","528":"dial telephone, dial phone","529":"diaper, nappy, napkin","530":"digital clock","531":"digital watch","532":"dining table, board","533":"dishrag, dishcloth","534":"dishwasher, dish washer, dishwashing machine","535":"disk brake, disc brake","536":"dock, dockage, docking facility","537":"dogsled, dog sled, dog sleigh","538":"dome","539":"doormat, welcome mat","540":"drilling platform, offshore rig","541":"drum, membranophone, tympan","542":"drumstick","543":"dumbbell","544":"Dutch oven","545":"electric fan, blower","546":"electric guitar","547":"electric locomotive","548":"entertainment center","549":"envelope","550":"espresso maker","551":"face powder","552":"feather boa, boa","553":"file, file cabinet, filing cabinet","554":"fireboat","555":"fire engine, fire truck","556":"fire screen, fireguard","557":"flagpole, flagstaff","558":"flute, transverse flute","559":"folding chair","560":"football helmet","561":"forklift","562":"fountain","563":"fountain pen","564":"four-poster","565":"freight car","566":"French horn, horn","567":"frying pan, frypan, skillet","568":"fur coat","569":"garbage truck, dustcart","570":"gasmask, respirator, gas helmet","571":"gas pump, gasoline pump, petrol pump, island dispenser","572":"goblet","573":"go-kart","574":"golf ball","575":"golfcart, golf cart","576":"gondola","577":"gong, tam-tam","578":"gown","579":"grand piano, grand","580":"greenhouse, nursery, glasshouse","581":"grille, radiator grille","582":"grocery store, grocery, food market, market","583":"guillotine","584":"hair slide","585":"hair spray","586":"half track","587":"hammer","588":"hamper","589":"hand blower, blow dryer, blow drier, hair dryer, hair drier","590":"hand-held computer, hand-held microcomputer","591":"handkerchief, hankie, hanky, hankey","592":"hard disc, hard disk, fixed disk","593":"harmonica, mouth organ, harp, mouth harp","594":"harp","595":"harvester, reaper","596":"hatchet","597":"holster","598":"home theater, home theatre","599":"honeycomb","600":"hook, claw","601":"hoopskirt, crinoline","602":"horizontal bar, high bar","603":"horse cart, horse-cart","604":"hourglass","605":"iPod","606":"iron, smoothing iron","607":"jack-o'-lantern","608":"jean, blue jean, denim","609":"jeep, landrover","610":"jersey, T-shirt, tee shirt","611":"jigsaw puzzle","612":"jinrikisha, ricksha, rickshaw","613":"joystick","614":"kimono","615":"knee pad","616":"knot","617":"lab coat, laboratory coat","618":"ladle","619":"lampshade, lamp shade","620":"laptop, laptop computer","621":"lawn mower, mower","622":"lens cap, lens cover","623":"letter opener, paper knife, paperknife","624":"library","625":"lifeboat","626":"lighter, light, igniter, ignitor","627":"limousine, limo","628":"liner, ocean liner","629":"lipstick, lip rouge","630":"Loafer","631":"lotion","632":"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system","633":"loupe, jeweler's loupe","634":"lumbermill, sawmill","635":"magnetic compass","636":"mailbag, postbag","637":"mailbox, letter box","638":"maillot","639":"maillot, tank suit","640":"manhole cover","641":"maraca","642":"marimba, xylophone","643":"mask","644":"matchstick","645":"maypole","646":"maze, labyrinth","647":"measuring cup","648":"medicine chest, medicine cabinet","649":"megalith, megalithic structure","650":"microphone, mike","651":"microwave, microwave oven","652":"military uniform","653":"milk can","654":"minibus","655":"miniskirt, mini","656":"minivan","657":"missile","658":"mitten","659":"mixing bowl","660":"mobile home, manufactured home","661":"Model T","662":"modem","663":"monastery","664":"monitor","665":"moped","666":"mortar","667":"mortarboard","668":"mosque","669":"mosquito net","670":"motor scooter, scooter","671":"mountain bike, all-terrain bike, off-roader","672":"mountain tent","673":"mouse, computer mouse","674":"mousetrap","675":"moving van","676":"muzzle","677":"nail","678":"neck brace","679":"necklace","680":"nipple","681":"notebook, notebook computer","682":"obelisk","683":"oboe, hautboy, hautbois","684":"ocarina, sweet potato","685":"odometer, hodometer, mileometer, milometer","686":"oil filter","687":"organ, pipe organ","688":"oscilloscope, scope, cathode-ray oscilloscope, CRO","689":"overskirt","690":"oxcart","691":"oxygen mask","692":"packet","693":"paddle, boat paddle","694":"paddlewheel, paddle wheel","695":"padlock","696":"paintbrush","697":"pajama, pyjama, pj's, jammies","698":"palace","699":"panpipe, pandean pipe, syrinx","700":"paper towel","701":"parachute, chute","702":"parallel bars, bars","703":"park bench","704":"parking meter","705":"passenger car, coach, carriage","706":"patio, terrace","707":"pay-phone, pay-station","708":"pedestal, plinth, footstall","709":"pencil box, pencil case","710":"pencil sharpener","711":"perfume, essence","712":"Petri dish","713":"photocopier","714":"pick, plectrum, plectron","715":"pickelhaube","716":"picket fence, paling","717":"pickup, pickup truck","718":"pier","719":"piggy bank, penny bank","720":"pill bottle","721":"pillow","722":"ping-pong ball","723":"pinwheel","724":"pirate, pirate ship","725":"pitcher, ewer","726":"plane, carpenter's plane, woodworking plane","727":"planetarium","728":"plastic bag","729":"plate rack","730":"plow, plough","731":"plunger, plumber's helper","732":"Polaroid camera, Polaroid Land camera","733":"pole","734":"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria","735":"poncho","736":"pool table, billiard table, snooker table","737":"pop bottle, soda bottle","738":"pot, flowerpot","739":"potter's wheel","740":"power drill","741":"prayer rug, prayer mat","742":"printer","743":"prison, prison house","744":"projectile, missile","745":"projector","746":"puck, hockey puck","747":"punching bag, punch bag, punching ball, punchball","748":"purse","749":"quill, quill pen","750":"quilt, comforter, comfort, puff","751":"racer, race car, racing car","752":"racket, racquet","753":"radiator","754":"radio, wireless","755":"radio telescope, radio reflector","756":"rain barrel","757":"recreational vehicle, RV, R.V.","758":"reel","759":"reflex camera","760":"refrigerator, icebox","761":"remote control, remote","762":"restaurant, eating house, eating place, eatery","763":"revolver, six-gun, six-shooter","764":"rifle","765":"rocking chair, rocker","766":"rotisserie","767":"rubber eraser, rubber, pencil eraser","768":"rugby ball","769":"rule, ruler","770":"running shoe","771":"safe","772":"safety pin","773":"saltshaker, salt shaker","774":"sandal","775":"sarong","776":"sax, saxophone","777":"scabbard","778":"scale, weighing machine","779":"school bus","780":"schooner","781":"scoreboard","782":"screen, CRT screen","783":"screw","784":"screwdriver","785":"seat belt, seatbelt","786":"sewing machine","787":"shield, buckler","788":"shoe shop, shoe-shop, shoe store","789":"shoji","790":"shopping basket","791":"shopping cart","792":"shovel","793":"shower cap","794":"shower curtain","795":"ski","796":"ski mask","797":"sleeping bag","798":"slide rule, slipstick","799":"sliding door","800":"slot, one-armed bandit","801":"snorkel","802":"snowmobile","803":"snowplow, snowplough","804":"soap dispenser","805":"soccer ball","806":"sock","807":"solar dish, solar collector, solar furnace","808":"sombrero","809":"soup bowl","810":"space bar","811":"space heater","812":"space shuttle","813":"spatula","814":"speedboat","815":"spider web, spider's web","816":"spindle","817":"sports car, sport car","818":"spotlight, spot","819":"stage","820":"steam locomotive","821":"steel arch bridge","822":"steel drum","823":"stethoscope","824":"stole","825":"stone wall","826":"stopwatch, stop watch","827":"stove","828":"strainer","829":"streetcar, tram, tramcar, trolley, trolley car","830":"stretcher","831":"studio couch, day bed","832":"stupa, tope","833":"submarine, pigboat, sub, U-boat","834":"suit, suit of clothes","835":"sundial","836":"sunglass","837":"sunglasses, dark glasses, shades","838":"sunscreen, sunblock, sun blocker","839":"suspension bridge","840":"swab, swob, mop","841":"sweatshirt","842":"swimming trunks, bathing trunks","843":"swing","844":"switch, electric switch, electrical switch","845":"syringe","846":"table lamp","847":"tank, army tank, armored combat vehicle, armoured combat vehicle","848":"tape player","849":"teapot","850":"teddy, teddy bear","851":"television, television system","852":"tennis ball","853":"thatch, thatched roof","854":"theater curtain, theatre curtain","855":"thimble","856":"thresher, thrasher, threshing machine","857":"throne","858":"tile roof","859":"toaster","860":"tobacco shop, tobacconist shop, tobacconist","861":"toilet seat","862":"torch","863":"totem pole","864":"tow truck, tow car, wrecker","865":"toyshop","866":"tractor","867":"trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi","868":"tray","869":"trench coat","870":"tricycle, trike, velocipede","871":"trimaran","872":"tripod","873":"triumphal arch","874":"trolleybus, trolley coach, trackless trolley","875":"trombone","876":"tub, vat","877":"turnstile","878":"typewriter keyboard","879":"umbrella","880":"unicycle, monocycle","881":"upright, upright piano","882":"vacuum, vacuum cleaner","883":"vase","884":"vault","885":"velvet","886":"vending machine","887":"vestment","888":"viaduct","889":"violin, fiddle","890":"volleyball","891":"waffle iron","892":"wall clock","893":"wallet, billfold, notecase, pocketbook","894":"wardrobe, closet, press","895":"warplane, military plane","896":"washbasin, handbasin, washbowl, lavabo, wash-hand basin","897":"washer, automatic washer, washing machine","898":"water bottle","899":"water jug","900":"water tower","901":"whiskey jug","902":"whistle","903":"wig","904":"window screen","905":"window shade","906":"Windsor tie","907":"wine bottle","908":"wing","909":"wok","910":"wooden spoon","911":"wool, woolen, woollen","912":"worm fence, snake fence, snake-rail fence, Virginia fence","913":"wreck","914":"yawl","915":"yurt","916":"web site, website, internet site, site","917":"comic book","918":"crossword puzzle, crossword","919":"street sign","920":"traffic light, traffic signal, stoplight","921":"book jacket, dust cover, dust jacket, dust wrapper","922":"menu","923":"plate","924":"guacamole","925":"consomme","926":"hot pot, hotpot","927":"trifle","928":"ice cream, icecream","929":"ice lolly, lolly, lollipop, popsicle","930":"French loaf","931":"bagel, beigel","932":"pretzel","933":"cheeseburger","934":"hotdog, hot dog, red hot","935":"mashed potato","936":"head cabbage","937":"broccoli","938":"cauliflower","939":"zucchini, courgette","940":"spaghetti squash","941":"acorn squash","942":"butternut squash","943":"cucumber, cuke","944":"artichoke, globe artichoke","945":"bell pepper","946":"cardoon","947":"mushroom","948":"Granny Smith","949":"strawberry","950":"orange","951":"lemon","952":"fig","953":"pineapple, ananas","954":"banana","955":"jackfruit, jak, jack","956":"custard apple","957":"pomegranate","958":"hay","959":"carbonara","960":"chocolate sauce, chocolate syrup","961":"dough","962":"meat loaf, meatloaf","963":"pizza, pizza pie","964":"potpie","965":"burrito","966":"red wine","967":"espresso","968":"cup","969":"eggnog","970":"alp","971":"bubble","972":"cliff, drop, drop-off","973":"coral reef","974":"geyser","975":"lakeside, lakeshore","976":"promontory, headland, head, foreland","977":"sandbar, sand bar","978":"seashore, coast, seacoast, sea-coast","979":"valley, vale","980":"volcano","981":"ballplayer, baseball player","982":"groom, bridegroom","983":"scuba diver","984":"rapeseed","985":"daisy","986":"yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum","987":"corn","988":"acorn","989":"hip, rose hip, rosehip","990":"buckeye, horse chestnut, conker","991":"coral fungus","992":"agaric","993":"gyromitra","994":"stinkhorn, carrion fungus","995":"earthstar","996":"hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa","997":"bolete","998":"ear, spike, capitulum","999":"toilet tissue, toilet paper, bathroom tissue"}}}},{"name":"features","sequence":{"sequence":"float32"}}]


hub_id: Exploration-Lab/IL-TUR
license: ["cc-by-nc-sa-4.0"]
language: ["en","hi","bn","gu","ml","mr","or","pa","ta","te"]
config_name: lmt
column_names: ["id","src_lang","src","tgt_lang","tgt"]
tags:
["task_categories:text-classification","task_categories:summarization","task_categories:translation","task_categories:token-classification","task_categories:feature-extraction","task_categories:sentence-similarity","language:en","language:hi","language:bn","language:gu","language:ml","language:mr","language:or","language:pa","language:ta","language:te","license:cc-by-nc-sa-4.0","size_categories:100K<n<1M","parquet","tabular","text","datasets","dask","mlcroissant","arxiv:2310.09765","region:us","legal","indian law","benchmark","legal ner","rhetorical role","judgment prediction","judgment explanation","bail","legal statute","prior case","summarization","machine translation","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"src_lang","dtype":"string"},{"name":"src","dtype":"string"},{"name":"tgt_lang","dtype":"string"},{"name":"tgt","dtype":"string"}]


hub_id: datafreak/MATH-test-2.5k
license: []
language: []
config_name: default
column_names: ["index","level_0_x","index_x","problem","level","type","solution","Text","level_0_y","index_y"]
features:
[{"name":"index","dtype":"int64"},{"name":"level_0_x","dtype":"int64"},{"name":"index_x","dtype":"int64"},{"name":"problem","dtype":"string"},{"name":"level","dtype":"string"},{"name":"type","dtype":"string"},{"name":"solution","dtype":"string"},{"name":"Text","dtype":"string"},{"name":"level_0_y","dtype":"float64"},{"name":"index_y","dtype":"float64"}]


hub_id: Trimux/catalan
license: ["mit"]
language: ["ca"]
config_name: my_dataset
column_names: ["audio","text","speaker_id"]
tags:
["task_categories:text-classification","language:ca","license:mit","size_categories:1K<n<10K","audiofolder","audio","text","datasets","mlcroissant","region:us","chemistry","croissant"]


hub_id: arcee-ai/cleaned-HuggingFaceH4-orca_dpo_pairs_no_system
license: []
language: []
config_name: default
column_names: ["chosen","rejected","id","system","question","source"]
features:
[{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"id","dtype":"string"},{"name":"system","dtype":"null"},{"name":"question","dtype":"string"},{"name":"source","dtype":"string"}]


hub_id: arcee-ai/cleaned-HuggingFaceH4-orca_dpo_pairs
license: []
language: []
config_name: default
column_names: ["chosen","rejected","id","system","question","source"]
features:
[{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"id","dtype":"string"},{"name":"system","dtype":"string"},{"name":"question","dtype":"string"},{"name":"source","dtype":"string"}]


hub_id: arcee-ai/cleaned-HuggingFaceH4-ultrafeedback_binarized
license: []
language: []
config_name: default
column_names: ["chosen","rejected","id","question","system","source"]
features:
[{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"system","dtype":"null"},{"name":"source","dtype":"string"}]


hub_id: arcee-ai/cleaned-jondurbin-truthy-dpo-v0.1
license: []
language: []
config_name: default
column_names: ["id","source","system","chosen","rejected","question"]
features:
[{"name":"id","dtype":"string"},{"name":"source","dtype":"string"},{"name":"system","dtype":"string"},{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"question","dtype":"string"}]


hub_id: arcee-ai/cleaned-mlabonne-distilabel-intel-orca-dpo-pairs
license: []
language: []
config_name: default
column_names: ["system","question","chosen","rejected","id","source"]
features:
[{"name":"system","dtype":"string"},{"name":"question","dtype":"string"},{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"id","dtype":"string"},{"name":"source","dtype":"string"}]


hub_id: arcee-ai/cleaned-mlabonne-orpo-dpo-mix-40k
license: []
language: []
config_name: default
column_names: ["source","chosen","rejected","question","id","system"]
features:
[{"name":"source","dtype":"string"},{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"question","dtype":"string"},{"name":"id","dtype":"string"},{"name":"system","dtype":"null"}]


hub_id: bigcode/bigcodebench-solve-rate
license: []
language: []
config_name: default
column_names: ["task_id","solve_rate"]
features: [{"name":"task_id","dtype":"string"},{"name":"solve_rate","dtype":"float64"}]
tags:
["size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:2406.15877","region:us","croissant"]


hub_id: Aiera/aiera-earnings-summaries
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["aiera_event_id","summary","transcript"]
features:
[{"name":"aiera_event_id","dtype":"int64"},{"name":"summary","dtype":"string"},{"name":"transcript","dtype":"string"}]


hub_id: skywalker290/Hindi_TTS_M
license: []
language: []
config_name: default
column_names: ["audio_id","language","audio","raw_text","gender"]
features:
[{"name":"audio_id","dtype":"string"},{"name":"language","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"raw_text","dtype":"string"},{"name":"gender","dtype":"string"}]


hub_id: sentence-transformers/dureader
license: []
language: ["zh"]
config_name: triplet-all
column_names: ["anchor","positive","negative"]
tags:
["task_categories:feature-extraction","task_categories:sentence-similarity","multilinguality:monolingual","language:zh","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","sentence-transformers","croissant"]


hub_id: Studeni/robot-instructions
license: []
language: ["en"]
config_name: default
column_names: ["input","output"]
features: [{"name":"input","dtype":"string"},{"name":"output","dtype":"string"}]
tags:
["task_categories:text-classification","task_categories:feature-extraction","task_categories:text2text-generation","language:en","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","robotics","industrial robotics","json","jsonl","instructions","croissant"]


hub_id: arcee-ai/cleaned-argilla-dpo-mix-7k-arabic
license: []
language: []
config_name: default
column_names: ["id","source","system","chosen","rejected"]
features:
[{"name":"id","dtype":"string"},{"name":"source","dtype":"string"},{"name":"system","dtype":"string"},{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: DariaaaS/embeddings_from_SCV
license: []
language: []
config_name: default
column_names: ["id","sentence","embedding"]
features:
[{"name":"id","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"embedding","sequence":"float32"}]


hub_id: DariaaaS/names_abs
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","abstracts","names"]
features:
[{"name":"id","dtype":"string"},{"name":"abstracts","dtype":"string"},{"name":"names","dtype":"string"}]


hub_id: gaodrew/Pleias-Latin-PD-cleaned
license: []
language: []
config_name: default
column_names: ["identifier","title","creator","publication_date","word_count","text"]
features:
[{"name":"identifier","dtype":"string"},{"name":"title","dtype":"string"},{"name":"creator","dtype":"string"},{"name":"publication_date","dtype":"int64"},{"name":"word_count","dtype":"int64"},{"name":"text","dtype":"string"}]


hub_id: Hoodg/Binary_Hepatitis
license: []
language: []
config_name: default
column_names: ["pmid","label","txt","word_count","prompt","new_label"]
features:
[{"name":"pmid","dtype":"int64"},{"name":"label","dtype":"float64"},{"name":"txt","dtype":"string"},{"name":"word_count","dtype":"int64"},{"name":"prompt","dtype":"string"},{"name":"new_label","dtype":"int64"}]


hub_id: nbalepur/doc_conflict_summary
license: []
language: []
config_name: default
column_names: ["query","doc_urls","doc_stances","doc_texts"]
features:
[{"name":"query","dtype":"string"},{"name":"doc_urls","sequence":"string"},{"name":"doc_stances","sequence":"string"},{"name":"doc_texts","sequence":{"sequence":"string"}}]


hub_id: flwrlabs/celeba
license: ["other"]
language: []
config_name: img_align+identity+attr
tags:
["license:other","size_categories:100K<n<1M","parquet","image","datasets","dask","mlcroissant","arxiv:1411.7766","arxiv:2007.14390","region:us","croissant"]

column_names:
["image","celeb_id","5_o_Clock_Shadow","Arched_Eyebrows","Attractive","Bags_Under_Eyes","Bald","Bangs","Big_Lips","Big_Nose","Black_Hair","Blond_Hair","Blurry","Brown_Hair","Bushy_Eyebrows","Chubby","Double_Chin","Eyeglasses","Goatee","Gray_Hair","Heavy_Makeup","High_Cheekbones","Male","Mouth_Slightly_Open","Mustache","Narrow_Eyes","No_Beard","Oval_Face","Pale_Skin","Pointy_Nose","Receding_Hairline","Rosy_Cheeks","Sideburns","Smiling","Straight_Hair","Wavy_Hair","Wearing_Earrings","Wearing_Hat","Wearing_Lipstick","Wearing_Necklace","Wearing_Necktie","Young"]

features:
[{"name":"image","dtype":"image"},{"name":"celeb_id","dtype":"int64"},{"name":"5_o_Clock_Shadow","dtype":"bool"},{"name":"Arched_Eyebrows","dtype":"bool"},{"name":"Attractive","dtype":"bool"},{"name":"Bags_Under_Eyes","dtype":"bool"},{"name":"Bald","dtype":"bool"},{"name":"Bangs","dtype":"bool"},{"name":"Big_Lips","dtype":"bool"},{"name":"Big_Nose","dtype":"bool"},{"name":"Black_Hair","dtype":"bool"},{"name":"Blond_Hair","dtype":"bool"},{"name":"Blurry","dtype":"bool"},{"name":"Brown_Hair","dtype":"bool"},{"name":"Bushy_Eyebrows","dtype":"bool"},{"name":"Chubby","dtype":"bool"},{"name":"Double_Chin","dtype":"bool"},{"name":"Eyeglasses","dtype":"bool"},{"name":"Goatee","dtype":"bool"},{"name":"Gray_Hair","dtype":"bool"},{"name":"Heavy_Makeup","dtype":"bool"},{"name":"High_Cheekbones","dtype":"bool"},{"name":"Male","dtype":"bool"},{"name":"Mouth_Slightly_Open","dtype":"bool"},{"name":"Mustache","dtype":"bool"},{"name":"Narrow_Eyes","dtype":"bool"},{"name":"No_Beard","dtype":"bool"},{"name":"Oval_Face","dtype":"bool"},{"name":"Pale_Skin","dtype":"bool"},{"name":"Pointy_Nose","dtype":"bool"},{"name":"Receding_Hairline","dtype":"bool"},{"name":"Rosy_Cheeks","dtype":"bool"},{"name":"Sideburns","dtype":"bool"},{"name":"Smiling","dtype":"bool"},{"name":"Straight_Hair","dtype":"bool"},{"name":"Wavy_Hair","dtype":"bool"},{"name":"Wearing_Earrings","dtype":"bool"},{"name":"Wearing_Hat","dtype":"bool"},{"name":"Wearing_Lipstick","dtype":"bool"},{"name":"Wearing_Necklace","dtype":"bool"},{"name":"Wearing_Necktie","dtype":"bool"},{"name":"Young","dtype":"bool"}]


hub_id: shashankholla3/spanish-aragonese
license: []
language: []
config_name: default
column_names: ["es","an","bleu","apertium"]
features:
[{"name":"es","dtype":"string"},{"name":"an","dtype":"string"},{"name":"bleu","dtype":"float64"},{"name":"apertium","dtype":"string"}]


hub_id: Sorour/convfinqa
license: []
language: []
config_name: default
column_names: ["text","output","instruction"]
features:
[{"name":"text","dtype":"string"},{"name":"output","dtype":"string"},{"name":"instruction","dtype":"string"}]


hub_id: fixie-ai/soda-audio
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
tags:
["language_creators:machine-generated","multilinguality:monolingual","language:en","license:cc-by-4.0","size_categories:100K<n<1M","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["head","relation","tail","literal","narrative","dialogue","speakers","PersonX","PersonY","PersonZ","original_index","split","head_answer","pmi_head_answer","relation_tail_answer","pmi_relation_tail_answer","alt_last_turn","audio_second_last_turn"]

features:
[{"name":"head","dtype":"string"},{"name":"relation","dtype":"string"},{"name":"tail","dtype":"string"},{"name":"literal","dtype":"string"},{"name":"narrative","dtype":"string"},{"name":"dialogue","sequence":"string"},{"name":"speakers","sequence":"string"},{"name":"PersonX","dtype":"string"},{"name":"PersonY","dtype":"string"},{"name":"PersonZ","dtype":"string"},{"name":"original_index","dtype":"int64"},{"name":"split","dtype":"string"},{"name":"head_answer","dtype":"string"},{"name":"pmi_head_answer","dtype":"string"},{"name":"relation_tail_answer","dtype":"string"},{"name":"pmi_relation_tail_answer","dtype":"string"},{"name":"alt_last_turn","dtype":"string"},{"name":"audio_second_last_turn","dtype":{"audio":{"sampling_rate":16000}}}]


hub_id: cowWhySo/reddit_top_comments
license: ["unlicense"]
language: []
config_name: default
column_names: ["title","selftext","top_comment","subreddit"]
tags:
["license:unlicense","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"title","dtype":"string"},{"name":"selftext","dtype":"string"},{"name":"top_comment","dtype":"string"},{"name":"subreddit","dtype":"string"}]


hub_id: lmms-lab/VQAv2_TOY
license: []
language: []
config_name: default
column_names: ["image_id","question","question_id","image"]
features:
[{"name":"image_id","dtype":"int64"},{"name":"question","dtype":"string"},{"name":"question_id","dtype":"int64"},{"name":"image","dtype":"image"}]


hub_id: Sorour/finqa
license: []
language: []
config_name: default
column_names: ["answer","text","instruction"]
features:
[{"name":"answer","dtype":"string"},{"name":"text","dtype":"string"},{"name":"instruction","dtype":"string"}]


hub_id: dtruong46me/human-eval-dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["task_id","prompt","entry_point","canonical_solution","test"]
features:
[{"name":"task_id","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"entry_point","dtype":"string"},{"name":"canonical_solution","dtype":"string"},{"name":"test","dtype":"string"}]


hub_id: 1231czx/gemma2b_sft_collected_math
license: []
language: []
config_name: default
column_names: ["gt","code","question","gt_cot","idx","solution","level","my_solu","pred","type","report"]
features:
[{"name":"gt","dtype":"string"},{"name":"code","sequence":"string"},{"name":"question","dtype":"string"},{"name":"gt_cot","dtype":"string"},{"name":"idx","dtype":"int64"},{"name":"solution","dtype":"string"},{"name":"level","dtype":"string"},{"name":"my_solu","sequence":"string"},{"name":"pred","sequence":"string"},{"name":"type","dtype":"string"},{"name":"report","sequence":"null"}]


hub_id: mlburnham/ibm_claimstance_entailment
license: []
language: []
config_name: default
column_names: ["hypothesis","target","stance","premise","validated_stance","validation_source","entailment"]
features:
[{"name":"hypothesis","dtype":"string"},{"name":"target","dtype":"string"},{"name":"stance","dtype":"int64"},{"name":"premise","dtype":"string"},{"name":"validated_stance","dtype":"int64"},{"name":"validation_source","dtype":"string"},{"name":"entailment","dtype":"int64"}]


hub_id: mlburnham/ibm_claimstance_topic_entailment
license: []
language: []
config_name: default
column_names: ["hypothesis","target","entailment","premise","validated_entailment","validation_source"]
features:
[{"name":"hypothesis","dtype":"string"},{"name":"target","dtype":"string"},{"name":"entailment","dtype":"int64"},{"name":"premise","dtype":"string"},{"name":"validated_entailment","dtype":"int64"},{"name":"validation_source","dtype":"string"}]


hub_id: mlburnham/argument_quality_ranking_entailment
license: []
language: []
config_name: default
column_names: ["premise","hypothesis","stance","validated_stance","validation_source","entailment"]
features:
[{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"stance","dtype":"int64"},{"name":"validated_stance","dtype":"int64"},{"name":"validation_source","dtype":"string"},{"name":"entailment","dtype":"int64"}]


hub_id: mlburnham/dem_rep_party_platform_topics
license: []
language: []
config_name: default
column_names: ["premise","target","hypothesis","label","validation_label","dataset","validation_source"]
features:
[{"name":"premise","dtype":"string"},{"name":"target","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"validation_label","dtype":"int64"},{"name":"dataset","dtype":"string"},{"name":"validation_source","dtype":"string"}]


hub_id: AshtonLKY/Text2XML_NARSIM_test_v3
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Output","Input","Instruction"]
features:
[{"name":"Output","dtype":"string"},{"name":"Input","dtype":"string"},{"name":"Instruction","dtype":"string"}]


hub_id: pabloce/ecuadorfood
license: ["apache-2.0"]
language: ["es"]
config_name: default
column_names: ["messages"]
features: [{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]
tags:
["language:es","license:apache-2.0","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","food","recipes","croissant"]


hub_id: Jungsooooo/tp-llama3-dataset
license: ["mit"]
language: []
config_name: default
column_names: ["personality","input","response"]
features:
[{"name":"personality","dtype":"string"},{"name":"input","dtype":"string"},{"name":"response","dtype":"string"}]


hub_id: amphion/SD-Eval
license: ["cc-by-nc-4.0"]
language: ["en"]
config_name: SD-Eval
column_names: ["utt_id","transcript","audio","info","dataset_name","reply1","reply2","reply3","reply4","reply5"]
tags:
["task_categories:text-generation","task_categories:question-answering","language:en","license:cc-by-nc-4.0","size_categories:1K<n<10K","arxiv:2406.13340","region:us","spoken dialogue generation","croissant"]

features:
[{"name":"utt_id","dtype":"string"},{"name":"transcript","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"info","dtype":"string"},{"name":"dataset_name","dtype":"string"},{"name":"reply1","dtype":"string"},{"name":"reply2","dtype":"string"},{"name":"reply3","dtype":"string"},{"name":"reply4","dtype":"string"},{"name":"reply5","dtype":"string"}]


hub_id: procit002/english_female_voice_v1_combined_with_Sushmita_data
license: []
language: []
config_name: default
column_names: ["path","audio","age","gender","accent","speaker_id","text","normalized_text","speaker_name"]
features:
[{"name":"path","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":48000}}},{"name":"age","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"accent","dtype":"string"},{"name":"speaker_id","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"normalized_text","dtype":"string"},{"name":"speaker_name","dtype":"string"}]


hub_id: mlburnham/global_warming_stance_entailment
license: []
language: []
config_name: default
column_names: ["stance","premise","hypothesis","validated_stance","validation_source","entailment"]
features:
[{"name":"stance","dtype":"int64"},{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"validated_stance","dtype":"int64"},{"name":"validation_source","dtype":"string"},{"name":"entailment","dtype":"int64"}]


hub_id: ZHENGRAN/mbpp
license: []
language: []
config_name: default
column_names:
["function_signature","text","idx","code","test_list","task_id","challenge_test_list","test_setup_code","prompt_chat","prompt_complete"]

features:
[{"name":"function_signature","dtype":"string"},{"name":"text","dtype":"string"},{"name":"idx","dtype":"int64"},{"name":"code","dtype":"string"},{"name":"test_list","sequence":"string"},{"name":"task_id","dtype":"int64"},{"name":"challenge_test_list","sequence":"string"},{"name":"test_setup_code","dtype":"string"},{"name":"prompt_chat","dtype":"string"},{"name":"prompt_complete","dtype":"string"}]


hub_id: PsyMatrix/cls_20newsgroups_SubjectTextVsLabel__BaseDefault
license: []
language: ["en"]
config_name: default
column_names: ["text","label"]
tags:
["task_categories:text-classification","language:en","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"alt.atheism","1":"comp.graphics","2":"comp.os.ms-windows.misc","3":"comp.sys.ibm.pc.hardware","4":"comp.sys.mac.hardware","5":"comp.windows.x","6":"misc.forsale","7":"rec.autos","8":"rec.motorcycles","9":"rec.sport.baseball","10":"rec.sport.hockey","11":"sci.crypt","12":"sci.electronics","13":"sci.med","14":"sci.space","15":"soc.religion.christian","16":"talk.politics.guns","17":"talk.politics.mideast","18":"talk.politics.misc","19":"talk.religion.misc"}}}}]


hub_id: onepaneai/topical-guardrailing-nemo-benchmarking-old
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["label","question","pedicted label"]
features:
[{"name":"label","dtype":"string"},{"name":"question","dtype":"string"},{"name":"pedicted label","dtype":"string"}]


hub_id: PsyMatrix/cls_agnews_SourceTitleTextVsLabel__BaseDefault
license: []
language: ["en"]
config_name: default
column_names: ["text","label"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"Business","1":"Entertainment","2":"Europe","3":"Health","4":"Italia","5":"Music Feeds","6":"Sci/Tech","7":"Software and Developement","8":"Sports","9":"Toons","10":"Top News","11":"Top Stories","12":"U.S.","13":"World"}}}}]


hub_id: PsyMatrix/cls_amazonreviews2013_ReviewsummaryReviewtextVsReviewscore__BaseAll
license: []
language: ["en"]
config_name: default
column_names: ["text","label"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"1 star","1":"2 stars","2":"3 stars","3":"4 stars","4":"5 stars"}}}}]


license: []
language: ["en"]
config_name: default
column_names: ["text","label"]
hub_id:
PsyMatrix/cls_amazonreviewspolarity2013_ReviewsummaryReviewtextVsReviewscore__BaseAmazoninstantvideo


license: []
language: ["en"]
config_name: default
column_names: ["text","label"]
hub_id:
PsyMatrix/cls_amazonreviewspolarity2013_ReviewsummaryReviewtextVsReviewscore__BaseIndustrialscientific


hub_id: nanotron/llama3-16k-passkey-retrieval-eval
license: []
language: []
config_name: default
column_names: ["id","prompt","answer","context_length","num_tokens","depth_percent"]
features:
[{"name":"id","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"answer","dtype":"int64"},{"name":"context_length","dtype":"int64"},{"name":"num_tokens","dtype":"int64"},{"name":"depth_percent","dtype":"int64"}]


hub_id: PsyMatrix/cls_victorianauthorship_TextVsAuthor__BaseDefault
license: []
language: ["en"]
config_name: default
column_names: ["text","label"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"Arthur Conan Doyle","1":"Charles Darwin","2":"Charles Dickens","3":"Edith Wharton","4":"George Eliot","5":"Horace Greeley","6":"Jack London","7":"James Baldwin","8":"Jane Austen","9":"John Muir","10":"Joseph Conrad","11":"Mark Twain","12":"Nathaniel Hawthorne","13":"Ralph Emerson","14":"Robert Louis Stevenson","15":"Rudyard Kipling","16":"Sinclair Lewis","17":"Theodore Dreiser","18":"Thomas Hardy","19":"Walt Whitman","20":"Washington Irving","21":"William Carleton","22":"Albert Ross","23":"Anne Manning","24":"Arlo Bates","25":"Bret Harte","26":"Catharine Maria Sedgwick","27":"Charles Reade","28":"Edward Eggleston","29":"Fergus Hume","30":"Frances Hodgson Burnett","31":"George Moore","32":"George William Curtis","33":"Helen Mathers","34":"Henry Rider Haggard","35":"Isabella Lucy Bird","36":"Jacob Abbott","37":"James Grant","38":"James Payn","39":"John Kendrick Bangs","40":"John Pendleton Kennedy","41":"John Strange Winter","42":"Lucas Malet","43":"Marie Corelli","44":"Oliver Optic","45":"Sarah Orne Jewett","46":"Sarah Stickney Ellis","47":"Thomas Anstey Guthrie","48":"Thomas Nelson Page","49":"William Black"}}}}]


hub_id: sentence-transformers/cmedqa-v2
license: []
language: ["zh"]
config_name: triplet-all
column_names: ["anchor","positive","negative"]
tags:
["task_categories:feature-extraction","task_categories:sentence-similarity","multilinguality:monolingual","language:zh","size_categories:100M<n<1B","parquet","text","datasets","dask","mlcroissant","region:us","sentence-transformers","croissant"]


hub_id: nagrajn/synthetic_linux_commands
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["context","user","assistant","text"]
tags:
["language:en","license:mit","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"context","dtype":"string"},{"name":"user","dtype":"string"},{"name":"assistant","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: plaguss/argilla_sdk_docs_queries
license: []
language: []
config_name: default
column_names:
["filename","repo_name","anchor","positive","negative","distilabel_metadata","model_name_query","model_name_query_multiplied"]

features:
[{"name":"filename","dtype":"string"},{"name":"repo_name","dtype":"string"},{"name":"anchor","dtype":"string"},{"name":"positive","dtype":"string"},{"name":"negative","dtype":"string"},{"name":"distilabel_metadata","struct":[{"name":"raw_output_multiply_queries","dtype":"string"}]},{"name":"model_name_query","dtype":"string"},{"name":"model_name_query_multiplied","dtype":"string"}]


hub_id: bz-arc13/preference_dataset_mixture2_and_safe_pku
license: []
language: []
config_name: default
column_names: ["rejected","chosen","conversation"]
features:
[{"name":"rejected","struct":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"chosen","struct":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"conversation","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: Anwaarma/WordAttacks
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["text","label","AraBERT Interpreted SHAP Values","CAMEL Interpreted SHAP Values","MARBERT Interpreted SHAP Values","XLM Interpreted SHAP Values","mBERT Interpreted SHAP Values","AraBERT Conjunction Example","XLM Conjunction Example","CAMEL Conjunction Example","MARBERT Conjunction Example","mBERT Conjunction Example","AraBERT MLM Example","XLM MLM Example","mBERT MLM Example","MARBERT MLM Example","CAMEL MLM Example"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"AraBERT Interpreted SHAP Values","dtype":"string"},{"name":"CAMEL Interpreted SHAP Values","dtype":"string"},{"name":"MARBERT Interpreted SHAP Values","dtype":"string"},{"name":"XLM Interpreted SHAP Values","dtype":"string"},{"name":"mBERT Interpreted SHAP Values","dtype":"string"},{"name":"AraBERT Conjunction Example","dtype":"string"},{"name":"XLM Conjunction Example","dtype":"string"},{"name":"CAMEL Conjunction Example","dtype":"string"},{"name":"MARBERT Conjunction Example","dtype":"string"},{"name":"mBERT Conjunction Example","dtype":"string"},{"name":"AraBERT MLM Example","dtype":"string"},{"name":"XLM MLM Example","dtype":"string"},{"name":"mBERT MLM Example","dtype":"string"},{"name":"MARBERT MLM Example","dtype":"string"},{"name":"CAMEL MLM Example","dtype":"string"}]


hub_id: Anwaarma/CharAttacks
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["text","label","Diacritic Example AraBERT","Diacritic Example CAMEL","Diacritic Example MARBERT","Diacritic Example XLM","Diacritic Example mBERT","Phonetic Example AraBERT","Phonetic Example XLM","Phonetic Example CAMEL","Phonetic Example MARBERT","Phonetic Example mBERT","Visual Example AraBERT","Visual Example XLM","Visual Example mBERT","Visual Example MARBERT","Visual Example CAMEL"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"Diacritic Example AraBERT","dtype":"string"},{"name":"Diacritic Example CAMEL","dtype":"string"},{"name":"Diacritic Example MARBERT","dtype":"string"},{"name":"Diacritic Example XLM","dtype":"string"},{"name":"Diacritic Example mBERT","dtype":"string"},{"name":"Phonetic Example AraBERT","dtype":"string"},{"name":"Phonetic Example XLM","dtype":"string"},{"name":"Phonetic Example CAMEL","dtype":"string"},{"name":"Phonetic Example MARBERT","dtype":"string"},{"name":"Phonetic Example mBERT","dtype":"string"},{"name":"Visual Example AraBERT","dtype":"string"},{"name":"Visual Example XLM","dtype":"string"},{"name":"Visual Example mBERT","dtype":"string"},{"name":"Visual Example MARBERT","dtype":"string"},{"name":"Visual Example CAMEL","dtype":"string"}]


hub_id: rbiswasfc/quality
license: ["mit"]
language: []
config_name: default
column_names: ["id","question","context","choices","label"]
tags:
["license:mit","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:2201.03533","region:us","croissant"]

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


hub_id: norbujam/LG-dataset-1
tags: ["size_categories:10K<n<100K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["image","vector"]
features:
[{"name":"image","sequence":{"sequence":"float64"}},{"name":"vector","sequence":{"sequence":"float64"}}]


hub_id: tomaarsen/natural-questions-hard-negatives
license: []
language: ["en"]
config_name: triplet-all
column_names: ["query","answer","negative"]
features:
[{"name":"query","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"negative","dtype":"string"}]


hub_id: onepaneai/topical-guardrailing-nemo-benchmarking
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["label","question","predicted_label"]
features:
[{"name":"label","dtype":"string"},{"name":"question","dtype":"string"},{"name":"predicted_label","dtype":"string"}]


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


hub_id: ICT2214Team7/Test_Dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","tokens","pos_tags","chunk_tags","ner_tags"]
features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"pos_tags","sequence":{"class_label":{"names":{"0":"\"","1":"''","2":"#","3":"$","4":"(","5":")","6":",","7":".","8":":","9":"``","10":"CC","11":"CD","12":"DT","13":"EX","14":"FW","15":"IN","16":"JJ","17":"JJR","18":"JJS","19":"LS","20":"MD","21":"NN","22":"NNP","23":"NNPS","24":"NNS","25":"NN|SYM","26":"PDT","27":"POS","28":"PRP","29":"PRP$","30":"RB","31":"RBR","32":"RBS","33":"RP","34":"SYM","35":"TO","36":"UH","37":"VB","38":"VBD","39":"VBG","40":"VBN","41":"VBP","42":"VBZ","43":"WDT","44":"WP","45":"WP$","46":"WRB"}}}},{"name":"chunk_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-ADJP","2":"I-ADJP","3":"B-ADVP","4":"I-ADVP","5":"B-CONJP","6":"I-CONJP","7":"B-INTJ","8":"I-INTJ","9":"B-LST","10":"I-LST","11":"B-NP","12":"I-NP","13":"B-PP","14":"I-PP","15":"B-PRT","16":"I-PRT","17":"B-SBAR","18":"I-SBAR","19":"B-UCP","20":"I-UCP","21":"B-VP","22":"I-VP","23":"B-PNP","24":"I-PNP"}}}},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-PER","2":"I-PER","3":"B-ORG","4":"I-ORG","5":"B-LOC","6":"I-LOC","7":"B-MISC","8":"I-MISC"}}}}]


hub_id: tomaarsen/gooaq-hard-negatives
license: []
language: ["en"]
config_name: triplet-all
column_names: ["question","answer","negative"]
tags:
["task_categories:feature-extraction","task_categories:sentence-similarity","multilinguality:monolingual","language:en","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","region:us","sentence-transformers","croissant"]

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


hub_id: yigagilbert/kallaama-trs-dataset-19hr-V1
license: []
language: []
config_name: default
column_names: ["audio","text","start_time","end_time"]
features:
[{"name":"audio","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"null"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"text","dtype":"string"},{"name":"start_time","dtype":"float64"},{"name":"end_time","dtype":"float64"}]


hub_id: dm-sticker/conan_dataset
license: []
language: []
config_name: default
column_names: ["image","labels","labels_2"]
features:
[{"name":"image","dtype":"image"},{"name":"labels","dtype":"string"},{"name":"labels_2","dtype":"string"}]


hub_id: Albertmade/prompt-injection
license: []
language: []
config_name: default
column_names: ["prompt","completion","round","part"]
features:
[{"name":"prompt","dtype":"string"},{"name":"completion","dtype":"string"},{"name":"round","dtype":"int64"},{"name":"part","dtype":"int64"}]


hub_id: ferrazzipietro/tmp_adapters
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["id","tokens","ner_tags","input_ids","attention_mask","labels","sentence","predictions","ground_truth_labels"]

features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-Disease","2":"I-Disease"}}}},{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"},{"name":"labels","sequence":"int64"},{"name":"sentence","dtype":"string"},{"name":"predictions","sequence":"string"},{"name":"ground_truth_labels","sequence":"string"}]


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

features:
[{"name":"audio","dtype":"audio"},{"name":"file","dtype":"string"},{"name":"instructions","dtype":"string"},{"name":"label","dtype":"string"}]


hub_id: Vikhrmodels/Grounded-RAG-Chat-RU
license: ["apache-2.0"]
language: ["ru"]
config_name: default
column_names: ["id","cluster","model","type","conversation"]
tags:
["language:ru","license:apache-2.0","size_categories:10K<n<100K","parquet","tabular","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"int64"},{"name":"cluster","dtype":"int64"},{"name":"model","dtype":"string"},{"name":"type","dtype":"string"},{"name":"conversation","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: 37channel/news-dataset-20240506-g-rss-step-2-debug-1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["after_inf_title2context_1","before_inf_title2context","content","date","interested-llm","step","title","url","index"]

features:
[{"name":"after_inf_title2context_1","dtype":"string"},{"name":"before_inf_title2context","dtype":"string"},{"name":"content","dtype":"string"},{"name":"date","dtype":"string"},{"name":"interested-llm","dtype":"string"},{"name":"step","dtype":"string"},{"name":"title","dtype":"string"},{"name":"url","dtype":"string"},{"name":"index","dtype":"int64"}]


hub_id: Trelis/touch-rugby-relevance-pairs-balanced
license: []
language: []
config_name: default
column_names: ["question","chunk","label","__index_level_0__"]
features:
[{"name":"question","dtype":"string"},{"name":"chunk","dtype":"string"},{"name":"label","dtype":"float64"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: sentence-transformers/law-gpt
license: []
language: ["zh"]
config_name: triplet-all
column_names: ["anchor","positive","negative"]
tags:
["task_categories:feature-extraction","task_categories:sentence-similarity","multilinguality:monolingual","language:zh","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","sentence-transformers","croissant"]


hub_id: Marjovl/berkeley-nest-Nectar-DPO
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["prompt","chosen","rejected","chosen_model","rejected_model","rejected_rank","good_natured"]
features:
[{"name":"prompt","dtype":"string"},{"name":"chosen","dtype":"string"},{"name":"rejected","dtype":"string"},{"name":"chosen_model","dtype":"string"},{"name":"rejected_model","dtype":"string"},{"name":"rejected_rank","dtype":"int64"},{"name":"good_natured","dtype":"bool"}]


hub_id: sentence-transformers/lecard-v2
license: []
language: ["zh"]
config_name: triplet-all
column_names: ["anchor","positive","negative"]
tags:
["task_categories:feature-extraction","task_categories:sentence-similarity","multilinguality:monolingual","language:zh","size_categories:10K<n<100K","parquet","text","datasets","dask","mlcroissant","region:us","sentence-transformers","croissant"]


hub_id: eustlb/french-long-form-test
license: []
language: ["fr"]
config_name: default
column_names: ["uid","audio","sentence"]
tags:
["task_categories:automatic-speech-recognition","language:fr","size_categories:n<1K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","long form","test set","croissant"]

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


hub_id: sentence-transformers/miracl
license: []
language: ["en","ar","bn","es","fa","fi","fr","hi","id","ja","ko","ru","sw","te","th","zh"]
config_name: zh-triplet-all
column_names: ["anchor","positive","negative"]
tags:
["task_categories:feature-extraction","task_categories:sentence-similarity","language:en","language:ar","language:bn","language:es","language:fa","language:fi","language:fr","language:hi","language:id","language:ja","language:ko","language:ru","language:sw","language:te","language:th","language:zh","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","sentence-transformers","croissant"]


hub_id: neeraj0022/tdata
license: []
language: []
config_name: default
column_names: ["TOPIC","QUESTION","ANSWER"]
features:
[{"name":"TOPIC","dtype":"string"},{"name":"QUESTION","dtype":"string"},{"name":"ANSWER","dtype":"string"}]


hub_id: hgissbkh/ALMA-Preference-Mono-System-XCOMET
license: []
language: []
config_name: default
column_names:
["lp","src_lang","tgt_lang","src","ref","rejected","chosen","base","rejected_chrf","chosen_chrf","base_chrf","rejected_bleu","chosen_bleu","base_bleu","rejected_xcomet","chosen_xcomet","base_xcomet","rejected_kiwi","chosen_kiwi","base_kiwi"]

features:
[{"name":"lp","dtype":"string"},{"name":"src_lang","dtype":"string"},{"name":"tgt_lang","dtype":"string"},{"name":"src","dtype":"string"},{"name":"ref","dtype":"string"},{"name":"rejected","dtype":"string"},{"name":"chosen","dtype":"string"},{"name":"base","dtype":"string"},{"name":"rejected_chrf","dtype":"float64"},{"name":"chosen_chrf","dtype":"float64"},{"name":"base_chrf","dtype":"float64"},{"name":"rejected_bleu","dtype":"float64"},{"name":"chosen_bleu","dtype":"float64"},{"name":"base_bleu","dtype":"float64"},{"name":"rejected_xcomet","dtype":"float64"},{"name":"chosen_xcomet","dtype":"float64"},{"name":"base_xcomet","dtype":"float64"},{"name":"rejected_kiwi","dtype":"float64"},{"name":"chosen_kiwi","dtype":"float64"},{"name":"base_kiwi","dtype":"float64"}]


hub_id: sentence-transformers/mldr
license: []
language: ["ar","de","en","es","fr","hi","it","ja","ko","pt","ru","th","zh"]
config_name: zh-triplet-all
column_names: ["anchor","positive","negative"]
tags:
["task_categories:feature-extraction","task_categories:sentence-similarity","multilinguality:monolingual","language:ar","language:de","language:en","language:es","language:fr","language:hi","language:it","language:ja","language:ko","language:pt","language:ru","language:th","language:zh","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","sentence-transformers","croissant"]


hub_id: pabloce/esbieta
license: ["apache-2.0"]
language: ["es"]
config_name: default
column_names: ["messages"]
features: [{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]
tags:
["language:es","license:apache-2.0","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","food","recipes","eat","croissant"]


hub_id: utmgohjinyu/FFB
license: []
language: ["en"]
config_name: default
column_names: ["messages","images"]
tags:
["task_categories:feature-extraction","task_categories:question-answering","language:en","size_categories:n<1K","parquet","image","text","datasets","pandas","mlcroissant","region:us","agriculture","ripeness","croissant"]


hub_id: sentence-transformers/mr-tydi
license: []
language: ["ar","bn","en","fi","id","ja","ko","ru","sw","te","th"]
config_name: th-triplet-all
column_names: ["anchor","positive","negative"]
tags:
["task_categories:feature-extraction","task_categories:sentence-similarity","language:ar","language:bn","language:en","language:fi","language:id","language:ja","language:ko","language:ru","language:sw","language:te","language:th","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","sentence-transformers","croissant"]


hub_id: ofir408/MedConceptsQA
license: ["apache-2.0"]
language: ["en"]
config_name: icd9proc_medium
tags:
["task_categories:question-answering","language:en","license:apache-2.0","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","arxiv:2405.07348","region:us","medical","croissant"]

column_names:
["question_id","answer","answer_id","option1","option2","option3","option4","question","vocab","level"]

features:
[{"name":"question_id","dtype":"int64"},{"name":"answer","dtype":"string"},{"name":"answer_id","dtype":"string"},{"name":"option1","dtype":"string"},{"name":"option2","dtype":"string"},{"name":"option3","dtype":"string"},{"name":"option4","dtype":"string"},{"name":"question","dtype":"string"},{"name":"vocab","dtype":"string"},{"name":"level","dtype":"string"}]


hub_id: Forbu14/imagenet-1k-latent
tags: ["size_categories:1M<n<10M","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["latents","label_latent"]
features:
[{"name":"latents","sequence":{"sequence":{"sequence":"float32"}}},{"name":"label_latent","dtype":"int64"}]


hub_id: Tom158/Nutrinition_1k_LLama3
license: []
language: []
config_name: default
column_names: ["System","Conversation","text"]
features:
[{"name":"System","dtype":"string"},{"name":"Conversation","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: socialmediaie/SocialMediaIE-MetaCorpus-v1
tags: ["license:apache-2.0","size_categories:100K<n<1M","text","region:us"]
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["tweet_id","id","text","label","tokens","ner_tags"]
features:
[{"name":"tweet_id","dtype":"string"},{"name":"id","dtype":"int32"},{"name":"text","dtype":"string"},{"name":"label","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":"string"}]


hub_id: vietgpt/refine-commoncrawl
license: []
language: []
config_name: CC-MAIN-2023-50
column_names: ["text","id","metadata"]
features:
[{"name":"text","dtype":"string"},{"name":"id","dtype":"string"},{"name":"metadata","struct":[{"name":"file_path","dtype":"string"},{"name":"ppl","dtype":"float64"},{"name":"token_count","dtype":"int64"},{"name":"url","dtype":"string"}]}]


hub_id: xPXXX/llama2_rag
license: ["mit"]
language: []
config_name: generation
column_names: ["evidence_list","answer","query","question_type","llama2_response"]
features:
[{"name":"evidence_list","list":[{"name":"author","dtype":"string"},{"name":"category","dtype":"string"},{"name":"fact","dtype":"string"},{"name":"published_at","dtype":"string"},{"name":"source","dtype":"string"},{"name":"title","dtype":"string"},{"name":"url","dtype":"string"}]},{"name":"answer","dtype":"string"},{"name":"query","dtype":"string"},{"name":"question_type","dtype":"string"},{"name":"llama2_response","dtype":"string"}]


hub_id: Kushtrim/common_voice_18_sq
license: ["cc0-1.0"]
language: ["sq"]
config_name: default
tags:
["language:sq","license:cc0-1.0","size_categories:1K<n<10K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["client_id","audio","sentence_id","sentence","sentence_domain","up_votes","down_votes","age","gender","accents","variant","locale","segment"]

features:
[{"name":"client_id","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"sentence_id","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"sentence_domain","dtype":"string"},{"name":"up_votes","dtype":"int64"},{"name":"down_votes","dtype":"int64"},{"name":"age","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"accents","dtype":"string"},{"name":"variant","dtype":"float64"},{"name":"locale","dtype":"string"},{"name":"segment","dtype":"float64"}]


hub_id: kdcyberdude/sttcidni-tts-tags
license: []
language: []
config_name: default
column_names:
["duration","text","source","gender","speaker_id","utterance_pitch_mean","utterance_pitch_std","snr","c50","speaking_rate","phonemes","stoi","si-sdr","pesq","noise","reverberation","speech_monotony","pitch"]

features:
[{"name":"duration","dtype":"float64"},{"name":"text","dtype":"string"},{"name":"source","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"speaker_id","dtype":"string"},{"name":"utterance_pitch_mean","dtype":"float32"},{"name":"utterance_pitch_std","dtype":"float32"},{"name":"snr","dtype":"float64"},{"name":"c50","dtype":"float64"},{"name":"speaking_rate","dtype":"string"},{"name":"phonemes","dtype":"string"},{"name":"stoi","dtype":"float64"},{"name":"si-sdr","dtype":"float64"},{"name":"pesq","dtype":"float64"},{"name":"noise","dtype":"string"},{"name":"reverberation","dtype":"string"},{"name":"speech_monotony","dtype":"string"},{"name":"pitch","dtype":"string"}]


hub_id: MingAI/comparison-data-falcon
license: []
language: []
config_name: default
column_names:
["instruction","response-1","response-2","choose-best","choose-best-suggestion","choose-best-suggestion-metadata","external_id","metadata"]

features:
[{"name":"instruction","dtype":"string","id":"field"},{"name":"response-1","dtype":"string","id":"field"},{"name":"response-2","dtype":"string","id":"field"},{"name":"choose-best","list":[{"name":"user_id","dtype":"string","id":"question"},{"name":"value","dtype":"int32","id":"question"},{"name":"status","dtype":"string","id":"question"}]},{"name":"choose-best-suggestion","dtype":"int32","id":"suggestion"},{"name":"choose-best-suggestion-metadata","struct":[{"name":"type","dtype":"string","id":"suggestion-metadata"},{"name":"score","dtype":"float32","id":"suggestion-metadata"},{"name":"agent","dtype":"string","id":"suggestion-metadata"}]},{"name":"external_id","dtype":"string","id":"external_id"},{"name":"metadata","dtype":"string","id":"metadata"}]


hub_id: fabiencasenave/Tensile2d_test
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["mesh_base_name","mesh_zone_name","meshes","scalars","time_series","links","paths"]
features:
[{"name":"mesh_base_name","dtype":"string"},{"name":"mesh_zone_name","dtype":"string"},{"name":"meshes","dtype":"binary"},{"name":"scalars","dtype":"string"},{"name":"time_series","dtype":"binary"},{"name":"links","dtype":"string"},{"name":"paths","dtype":"string"}]


hub_id: msu-ceco/agxqa_v1
license: ["mit"]
language: ["en"]
config_name: agxqa_v1
column_names: ["id","category","context","question","answers","references"]
tags:
["task_categories:question-answering","task_ids:closed-domain-qa","task_ids:extractive-qa","multilinguality:monolingual","source_datasets:original","language:en","license:mit","size_categories:1K<n<10K","arxiv:1606.05250","region:us","agriculture","Extension","agriculture Extension","irrigation"]

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


hub_id: kdcyberdude/sttcidni-tagged
license: []
language: []
config_name: default
column_names:
["duration","text","source","gender","speaker_id","utterance_pitch_mean","utterance_pitch_std","snr","c50","speaking_rate","phonemes","stoi","si-sdr","pesq","noise","reverberation","speech_monotony","pitch","text_description"]

features:
[{"name":"duration","dtype":"float64"},{"name":"text","dtype":"string"},{"name":"source","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"speaker_id","dtype":"string"},{"name":"utterance_pitch_mean","dtype":"float32"},{"name":"utterance_pitch_std","dtype":"float32"},{"name":"snr","dtype":"float64"},{"name":"c50","dtype":"float64"},{"name":"speaking_rate","dtype":"string"},{"name":"phonemes","dtype":"string"},{"name":"stoi","dtype":"float64"},{"name":"si-sdr","dtype":"float64"},{"name":"pesq","dtype":"float64"},{"name":"noise","dtype":"string"},{"name":"reverberation","dtype":"string"},{"name":"speech_monotony","dtype":"string"},{"name":"pitch","dtype":"string"},{"name":"text_description","dtype":"string"}]


hub_id: daswer123/test_dataset_upload
license: []
language: []
config_name: default
column_names: ["audio","text","duration"]
features:
[{"name":"audio","dtype":"audio"},{"name":"text","dtype":"string"},{"name":"duration","dtype":"float32"}]


hub_id: chenghao/sec-material-contracts-qa
license: ["apache-2.0"]
language: ["en"]
config_name: default
tags:
["task_categories:visual-question-answering","task_categories:question-answering","task_categories:document-question-answering","task_ids:visual-question-answering","task_ids:extractive-qa","annotations_creators:machine-generated","language_creators:crowdsourced","language_creators:machine-generated","multilinguality:monolingual","source_datasets:original","language:en","license:apache-2.0","size_categories:n<1K","parquet","tabular","text","datasets","dask","mlcroissant","region:us","contract","legal","information-extraction","croissant"]

column_names:
["index_html_url","index_text_url","cik","name","type","date","seq","desc","doc_type","size","filename","file_url","file","__index_level_0__","file_content","full_text","images","page_text","html_content","agreement_date","effective_date","expiration_date","party_address","party_name","counterparty_address","counterparty_name","counterparty_signer_name","counterparty_signer_title","auto_renewal","governing_law","venue","payment_frequency","payment_term","renewal_term","agreement_term","termination_for_cause","termination_for_convenience","termination_notice_period","opt_out_length","contract_value"]

features:
[{"name":"index_html_url","dtype":"string"},{"name":"index_text_url","dtype":"string"},{"name":"cik","dtype":"int64"},{"name":"name","dtype":"string"},{"name":"type","dtype":"string"},{"name":"date","dtype":"timestamp[ns]"},{"name":"seq","dtype":"int64"},{"name":"desc","dtype":"string"},{"name":"doc_type","dtype":"string"},{"name":"size","dtype":"int64"},{"name":"filename","dtype":"string"},{"name":"file_url","dtype":"string"},{"name":"file","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"},{"name":"file_content","dtype":"string"},{"name":"full_text","dtype":"string"},{"name":"images","list":[{"name":"bytes","dtype":"binary"},{"name":"path","dtype":"null"}]},{"name":"page_text","sequence":"string"},{"name":"html_content","dtype":"string"},{"name":"agreement_date","dtype":"string"},{"name":"effective_date","dtype":"string"},{"name":"expiration_date","dtype":"string"},{"name":"party_address","dtype":"string"},{"name":"party_name","dtype":"string"},{"name":"counterparty_address","dtype":"string"},{"name":"counterparty_name","dtype":"string"},{"name":"counterparty_signer_name","dtype":"string"},{"name":"counterparty_signer_title","dtype":"string"},{"name":"auto_renewal","dtype":"string"},{"name":"governing_law","dtype":"string"},{"name":"venue","dtype":"string"},{"name":"payment_frequency","dtype":"string"},{"name":"payment_term","dtype":"string"},{"name":"renewal_term","dtype":"string"},{"name":"agreement_term","dtype":"string"},{"name":"termination_for_cause","dtype":"string"},{"name":"termination_for_convenience","dtype":"string"},{"name":"termination_notice_period","dtype":"string"},{"name":"opt_out_length","dtype":"string"},{"name":"contract_value","dtype":"string"}]


hub_id: JetBrains-Research/swe-traj-openai
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["messages","is_resolved","is_finished"]
features:
[{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"},{"name":"weight","dtype":"int64"}]},{"name":"is_resolved","dtype":"bool"},{"name":"is_finished","dtype":"bool"}]


hub_id: msc-smart-contract-audition/audits-with-reasons
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["code","description","recommendation","type","functionality"]
tags:
["task_categories:text2text-generation","task_categories:text-classification","language:en","license:mit","size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","region:us","finance","code","croissant"]

features:
[{"name":"code","dtype":"string"},{"name":"description","dtype":"string"},{"name":"recommendation","dtype":"string"},{"name":"type","dtype":"string"},{"name":"functionality","dtype":"string"}]


hub_id: eastwind/parler_mls_eng_10k_merged
license: []
language: []
config_name: default
column_names:
["original_path","begin_time","end_time","audio_duration","speaker_id","book_id","utterance_pitch_mean","utterance_pitch_std","snr","c50","speaking_rate","phonemes","gender","pitch","noise","reverberation","speech_monotony","text_description","original_text","text","audio"]

features:
[{"name":"original_path","dtype":"string"},{"name":"begin_time","dtype":"float64"},{"name":"end_time","dtype":"float64"},{"name":"audio_duration","dtype":"float64"},{"name":"speaker_id","dtype":"string"},{"name":"book_id","dtype":"string"},{"name":"utterance_pitch_mean","dtype":"float32"},{"name":"utterance_pitch_std","dtype":"float32"},{"name":"snr","dtype":"float64"},{"name":"c50","dtype":"float64"},{"name":"speaking_rate","dtype":"string"},{"name":"phonemes","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"pitch","dtype":"string"},{"name":"noise","dtype":"string"},{"name":"reverberation","dtype":"string"},{"name":"speech_monotony","dtype":"string"},{"name":"text_description","dtype":"string"},{"name":"original_text","dtype":"string"},{"name":"text","dtype":"string"},{"name":"audio","dtype":"audio"}]


hub_id: eastwind/parler_libritts_r_10k_merged
license: []
language: []
config_name: default
column_names:
["text","text_original","speaker_id","path","chapter_id","id","speaking_rate","phonemes","snr","c50","utterance_pitch_mean","utterance_pitch_std","gender","pitch","noise","reverberation","speech_monotony","text_description","audio","text_normalized","metadata_id"]

features:
[{"name":"text","dtype":"string"},{"name":"text_original","dtype":"string"},{"name":"speaker_id","dtype":"string"},{"name":"path","dtype":"string"},{"name":"chapter_id","dtype":"string"},{"name":"id","dtype":"string"},{"name":"speaking_rate","dtype":"string"},{"name":"phonemes","dtype":"string"},{"name":"snr","dtype":"float32"},{"name":"c50","dtype":"float32"},{"name":"utterance_pitch_mean","dtype":"float32"},{"name":"utterance_pitch_std","dtype":"float32"},{"name":"gender","dtype":"string"},{"name":"pitch","dtype":"string"},{"name":"noise","dtype":"string"},{"name":"reverberation","dtype":"string"},{"name":"speech_monotony","dtype":"string"},{"name":"text_description","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":24000}}},{"name":"text_normalized","dtype":"string"},{"name":"metadata_id","dtype":"string"}]


hub_id: smarthop/rc_discrimination_dataset
license: []
language: []
config_name: default
column_names: ["ocr_text","label","__index_level_0__"]
features:
[{"name":"ocr_text","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: liuch37/controlnet-experiment
license: []
language: []
config_name: default
column_names: ["image","seg","caption"]
features:
[{"name":"image","dtype":"image"},{"name":"seg","dtype":"image"},{"name":"caption","dtype":"string"}]


hub_id: bobox/MSMARCObm25Triplets-labeled-MarginMSE-bge-reranker-v2-gemma-prefix
license: []
language: []
config_name: default
column_names: ["query","positive","negative","label"]
features:
[{"name":"query","dtype":"string"},{"name":"positive","dtype":"string"},{"name":"negative","dtype":"string"},{"name":"label","dtype":"float64"}]


hub_id: oldflag/symptom_dx_test
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["output_text","input_text"]
features: [{"name":"output_text","dtype":"string"},{"name":"input_text","dtype":"string"}]
tags:
["license:apache-2.0","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","medical","croissant"]


hub_id: salahyahya/grammeranderrordataset
license: []
language: []
config_name: default
column_names: ["essay_id","word_count","input","output"]
features:
[{"name":"essay_id","dtype":"int64"},{"name":"word_count","dtype":"int64"},{"name":"input","dtype":"string"},{"name":"output","dtype":"string"}]


hub_id: jp1924/Laion2BMultiKoreanSubset
license: []
language: []
config_name: default
column_names: ["id","image","caption","caption_ls","category","language","nsfw","license","similarity"]
features:
[{"name":"id","dtype":"int32"},{"name":"image","dtype":"image"},{"name":"caption","dtype":"string"},{"name":"caption_ls","list":"string"},{"name":"category","dtype":"string"},{"name":"language","dtype":"string"},{"name":"nsfw","dtype":"string"},{"name":"license","dtype":"string"},{"name":"similarity","dtype":"float32"}]


hub_id: mnoukhov/summarize_from_feedback_oai_preprocessing_1706381144_relabel_pythia6.9b
license: []
language: []
config_name: default
column_names: ["prompt","chosen","rejected","prompt_chosen","prompt_rejected","chosen_score","rejected_score"]
features:
[{"name":"prompt","dtype":"string"},{"name":"chosen","dtype":"string"},{"name":"rejected","dtype":"string"},{"name":"prompt_chosen","dtype":"string"},{"name":"prompt_rejected","dtype":"string"},{"name":"chosen_score","dtype":"float64"},{"name":"rejected_score","dtype":"float64"}]


hub_id: WoXrInAi/comparison_sd21_controlnet_generated_ffhq_laion_face_1000_226k_steps
license: []
language: []
config_name: default
column_names: ["comparison_image","pre-trained_model","fine-tuned_model_226k_steps","condition_image","prompt"]
features:
[{"name":"comparison_image","dtype":"image"},{"name":"pre-trained_model","dtype":"image"},{"name":"fine-tuned_model_226k_steps","dtype":"image"},{"name":"condition_image","dtype":"image"},{"name":"prompt","dtype":"string"}]


hub_id: TrevorJS/mtg-scryfall-cropped-art-jina-clip-v1
license: []
language: []
config_name: default
column_names:
["artist","flavor_text","rarity","set_name","card_art_uri","card_png_uri","colors","id","loyalty","mana_cost","name","oracle_text","power","released_at","scryfall_uri","toughness","type_line","uri","jina_clip_v1_card_art_embeddings"]

features:
[{"name":"artist","dtype":"string"},{"name":"flavor_text","dtype":"string"},{"name":"rarity","dtype":"string"},{"name":"set_name","dtype":"string"},{"name":"card_art_uri","dtype":"string"},{"name":"card_png_uri","dtype":"string"},{"name":"colors","dtype":"string"},{"name":"id","dtype":"string"},{"name":"loyalty","dtype":"string"},{"name":"mana_cost","dtype":"string"},{"name":"name","dtype":"string"},{"name":"oracle_text","dtype":"string"},{"name":"power","dtype":"string"},{"name":"released_at","dtype":"int64"},{"name":"scryfall_uri","dtype":"string"},{"name":"toughness","dtype":"string"},{"name":"type_line","dtype":"string"},{"name":"uri","dtype":"string"},{"name":"jina_clip_v1_card_art_embeddings","sequence":"float32"}]


hub_id: Thienpkae/Vi_Tele
license: []
language: ["vi"]
config_name: default
column_names: ["file","text","duration","file_path"]
tags:
["task_categories:automatic-speech-recognition","language:vi","size_categories:1K<n<10K","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]

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


hub_id: monkeymon/singapore-ghost-story
license: []
language: []
config_name: default
column_names: ["content","prompt","text"]
features:
[{"name":"content","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: Thienpkae/Tele_vi
license: []
language: []
config_name: default
column_names: ["path","audio","text","duration"]
features:
[{"name":"path","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":48000}}},{"name":"text","dtype":"string"},{"name":"duration","dtype":"float64"}]


hub_id: Imran1/Em
license: []
language: []
config_name: default
column_names: ["prompt_new","choose_new","reject_new"]
features:
[{"name":"prompt_new","dtype":"string"},{"name":"choose_new","dtype":"string"},{"name":"reject_new","dtype":"string"}]


hub_id: MikeGreen2710/12_jun_hn_mapped_to_bang_gia_fix_address_data_2
license: []
language: []
config_name: default
column_names:
["id","address","row_no","city","district","ward","street","addr_id","score","number_str","before_comma_str","phuong_rplc","wrong_phuong_to_repl","street_original","match","segment_no"]

features:
[{"name":"id","dtype":"string"},{"name":"address","dtype":"string"},{"name":"row_no","dtype":"int64"},{"name":"city","dtype":"string"},{"name":"district","dtype":"string"},{"name":"ward","dtype":"string"},{"name":"street","dtype":"string"},{"name":"addr_id","dtype":"int64"},{"name":"score","dtype":"float64"},{"name":"number_str","dtype":"bool"},{"name":"before_comma_str","dtype":"string"},{"name":"phuong_rplc","dtype":"string"},{"name":"wrong_phuong_to_repl","dtype":"bool"},{"name":"street_original","dtype":"string"},{"name":"match","dtype":"float64"},{"name":"segment_no","dtype":"float64"}]


hub_id: gluncho/miniseg-embeddings
license: ["mit"]
language: []
config_name: default
column_names: ["text","labels","embeddings"]
tags:
["license:mit","size_categories:1K<n<10K","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"text","sequence":"string"},{"name":"labels","sequence":"int64"},{"name":"embeddings","sequence":{"sequence":"float64"}}]


hub_id: growth-cadet/tiny_rewritequery
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["query","rewrite","prompt","chat"]
features:
[{"name":"query","dtype":"string"},{"name":"rewrite","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"chat","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: bbrenes/objectRecognition_Landslides
license: ["mit"]
language: []
config_name: default
column_names: ["image","image_id","width","height","objects"]
features:
[{"name":"image","dtype":"image"},{"name":"image_id","dtype":"int64"},{"name":"width","dtype":"int64"},{"name":"height","dtype":"int64"},{"name":"objects","sequence":[{"name":"bbox_id","dtype":"int64"},{"name":"category","dtype":{"class_label":{"names":{"0":"bird","1":"human","2":"Unknown (object)","3":"mountain","4":"car","5":"house","6":"old landslides","7":"town","8":"river","9":"active landslides","10":"forest","11":"cloud"}}}},{"name":"bbox","sequence":"float64","length":4},{"name":"area","dtype":"float64"}]}]


hub_id: kmpartner/dataset-cnsr-hsafe
license: []
language: []
config_name: default
column_names: ["image","caption","scribble_hsafe"]
features:
[{"name":"image","dtype":"image"},{"name":"caption","dtype":"string"},{"name":"scribble_hsafe","dtype":"image"}]


hub_id: Woleek/EmoSet-118K
license: []
language: []
config_name: default
column_names: ["image","labels"]
features:
[{"name":"image","dtype":"image"},{"name":"labels","dtype":{"class_label":{"names":{"0":"amusement","1":"awe","2":"contentment","3":"excitement","4":"anger","5":"disgust","6":"fear","7":"sadness"}}}}]


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


hub_id: tensorkelechi/arxiv-cstext
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["task_categories:text-generation","language:en","license:apache-2.0","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","region:us","research/webtext","code","croissant"]


hub_id: PLAID-datasets/Tensile2d
license: ["cc-by-sa-4.0"]
language: []
config_name: default
column_names: ["sample"]
features: [{"name":"sample","dtype":"binary"}]
tags:
["task_categories:graph-ml","license:cc-by-sa-4.0","size_categories:n<1K","parquet","datasets","dask","mlcroissant","arxiv:2305.12871","region:us","physics learning","geometry learning","croissant"]


hub_id: lock-rr/ragas-tes-dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["question","answer","contexts","ground_truths"]
features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"contexts","dtype":"string"},{"name":"ground_truths","dtype":"string"}]


hub_id: jrahn/Infinity-Instruct
license: []
language: ["en","zh"]
config_name: default
column_names: ["id","conversations","source"]
tags:
["task_categories:text-generation","language:en","language:zh","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"int64"},{"name":"conversations","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]},{"name":"source","dtype":"string"}]


hub_id: apotterri/django-oscar
license: ["mit"]
language: []
config_name: default
column_names:
["repo","pull_number","instance_id","issue_numbers","base_commit","patch","test_patch","problem_statement","hints_text","created_at","version","ERROR_TO_ERROR","FAIL_TO_PASS","PASS_TO_PASS","environment_setup_commit"]

features:
[{"name":"repo","dtype":"string"},{"name":"pull_number","dtype":"int64"},{"name":"instance_id","dtype":"string"},{"name":"issue_numbers","sequence":"string"},{"name":"base_commit","dtype":"string"},{"name":"patch","dtype":"string"},{"name":"test_patch","dtype":"string"},{"name":"problem_statement","dtype":"string"},{"name":"hints_text","dtype":"string"},{"name":"created_at","dtype":"timestamp[ns, tz=UTC]"},{"name":"version","dtype":"string"},{"name":"ERROR_TO_ERROR","sequence":"null"},{"name":"FAIL_TO_PASS","sequence":"string"},{"name":"PASS_TO_PASS","sequence":"string"},{"name":"environment_setup_commit","dtype":"string"}]


hub_id: ledigajobb/skill_profession_job_sample
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["product_title","query","relevance_label"]
features:
[{"name":"product_title","dtype":"string"},{"name":"query","dtype":"string"},{"name":"relevance_label","dtype":"int64"}]


hub_id: ZhJiHo/carbon_zhihu_spider
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["\u6807\u9898","\u6807\u9898\u94fe\u63a5","RichText","ContentItem-action","\u6807\u98981"]
features:
[{"name":"\u6807\u9898","dtype":"string"},{"name":"\u6807\u9898\u94fe\u63a5","dtype":"string"},{"name":"RichText","dtype":"string"},{"name":"ContentItem-action","dtype":"string"},{"name":"\u6807\u98981","dtype":"string"}]


hub_id: fydhfzh/arabic-aug-split-clean
license: []
language: []
config_name: default
column_names: ["audio","label"]
features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"label","dtype":{"class_label":{"names":{"0":"0000101","1":"0000110","2":"0000111","3":"0001001","4":"0001010","5":"0001011","6":"0001101","7":"0001110","8":"0001111","9":"0010001","10":"0010010","11":"0010011","12":"0010101","13":"0010110","14":"0010111","15":"0011001","16":"0011010","17":"0011011","18":"0011101","19":"0011110","20":"0011111","21":"0100001","22":"0100010","23":"0100011","24":"0100101","25":"0100110","26":"0100111","27":"0101001","28":"0101010","29":"0101011","30":"0101101","31":"0101110","32":"0101111","33":"0110001","34":"0110010","35":"0110011","36":"0110101","37":"0110110","38":"0110111","39":"0111001","40":"0111010","41":"0111011","42":"0111101","43":"0111110","44":"0111111","45":"1000001","46":"1000010","47":"1000011","48":"1000101","49":"1000110","50":"1000111","51":"1001001","52":"1001010","53":"1001011","54":"1001101","55":"1001110","56":"1001111","57":"1010001","58":"1010010","59":"1010011","60":"1010101","61":"1010110","62":"1010111","63":"1011001","64":"1011010","65":"1011011","66":"1011101","67":"1011110","68":"1011111","69":"1100001","70":"1100010","71":"1100011","72":"1100101","73":"1100110","74":"1100111","75":"1101001","76":"1101010","77":"1101011","78":"1101101","79":"1101110","80":"1101111","81":"1110001","82":"1110010","83":"1110011"}}}}]


hub_id: AnuhyaReddy/my-first-dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["text","label","label-suggestion","label-suggestion-metadata","external_id","metadata"]
features:
[{"name":"text","dtype":"string","id":"field"},{"name":"label","list":[{"name":"user_id","dtype":"string","id":"question"},{"name":"value","dtype":"string","id":"question"},{"name":"status","dtype":"string","id":"question"}]},{"name":"label-suggestion","dtype":"string","id":"suggestion"},{"name":"label-suggestion-metadata","struct":[{"name":"type","dtype":"string","id":"suggestion-metadata"},{"name":"score","dtype":"float32","id":"suggestion-metadata"},{"name":"agent","dtype":"string","id":"suggestion-metadata"}]},{"name":"external_id","dtype":"string","id":"external_id"},{"name":"metadata","dtype":"string","id":"metadata"}]


hub_id: tomaarsen/mining_demo
license: []
language: []
config_name: default
column_names: ["query","answer"]
features: [{"name":"query","dtype":"string"},{"name":"answer","dtype":"string"}]
tags:
["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","sentence-transformers","croissant"]


hub_id: prodata/translated_snli
license: ["cc-by-sa-3.0"]
language: []
config_name: default
column_names: ["premise_az","premise_en","hypothesis_az","hypothesis_en","label"]
tags:
["license:cc-by-sa-3.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"premise_az","dtype":"string"},{"name":"premise_en","dtype":"string"},{"name":"hypothesis_az","dtype":"string"},{"name":"hypothesis_en","dtype":"string"},{"name":"label","dtype":"int64"}]


hub_id: trajkovnikola/databricks-dolly-15k-mk
license: ["cc-by-nc-4.0"]
language: ["mk"]
config_name: default
column_names: ["context","question","answer"]
tags:
["language:mk","license:cc-by-nc-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: trajkovnikola/Capybara-mk
license: ["cc-by-nc-4.0"]
language: ["mk"]
config_name: default
column_names: ["conversations"]
tags:
["language:mk","license:cc-by-nc-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

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


hub_id: fydhfzh/arabic-split-clean
license: []
language: []
config_name: default
column_names: ["audio","label"]
features:
[{"name":"audio","struct":[{"name":"array","sequence":"float32"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"label","dtype":{"class_label":{"names":{"0":"0000101","1":"0000110","2":"0000111","3":"0001001","4":"0001010","5":"0001011","6":"0001101","7":"0001110","8":"0001111","9":"0010001","10":"0010010","11":"0010011","12":"0010101","13":"0010110","14":"0010111","15":"0011001","16":"0011010","17":"0011011","18":"0011101","19":"0011110","20":"0011111","21":"0100001","22":"0100010","23":"0100011","24":"0100101","25":"0100110","26":"0100111","27":"0101001","28":"0101010","29":"0101011","30":"0101101","31":"0101110","32":"0101111","33":"0110001","34":"0110010","35":"0110011","36":"0110101","37":"0110110","38":"0110111","39":"0111001","40":"0111010","41":"0111011","42":"0111101","43":"0111110","44":"0111111","45":"1000001","46":"1000010","47":"1000011","48":"1000101","49":"1000110","50":"1000111","51":"1001001","52":"1001010","53":"1001011","54":"1001101","55":"1001110","56":"1001111","57":"1010001","58":"1010010","59":"1010011","60":"1010101","61":"1010110","62":"1010111","63":"1011001","64":"1011010","65":"1011011","66":"1011101","67":"1011110","68":"1011111","69":"1100001","70":"1100010","71":"1100011","72":"1100101","73":"1100110","74":"1100111","75":"1101001","76":"1101010","77":"1101011","78":"1101101","79":"1101110","80":"1101111","81":"1110001","82":"1110010","83":"1110011"}}}}]


hub_id: PatronusAI/covidqa-test-prompt-old
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["messages","_id","LABEL"]
features:
[{"name":"messages","list":[{"name":"role","dtype":"string"},{"name":"content","dtype":"string"}]},{"name":"_id","dtype":"int64"},{"name":"LABEL","dtype":"string"}]


hub_id: chYassine/WebAttack-CVSSMetrics
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["_raw","Type","CVSS","Score"]
features:
[{"name":"_raw","dtype":"string"},{"name":"Type","dtype":"string"},{"name":"CVSS","dtype":"string"},{"name":"Score","dtype":"float64"}]


hub_id: v1ctor10/section1_annual_reports_short_tokenized_gpt2
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["input_ids"]
features: [{"name":"input_ids","sequence":"int64"}]
tags:
["license:apache-2.0","size_categories:10K<n<100K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: srvermeulen/LLM-of-Babel-NL-Labeled
license: []
language: []
config_name: default
column_names:
["file_id","token_length","repo+path","content","prompt","generation","original_comment","predicted_comment","bleu_4","rouge_l","labels"]

features:
[{"name":"file_id","dtype":"string"},{"name":"token_length","dtype":"int64"},{"name":"repo+path","dtype":"string"},{"name":"content","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"generation","dtype":"string"},{"name":"original_comment","dtype":"string"},{"name":"predicted_comment","dtype":"string"},{"name":"bleu_4","dtype":"float64"},{"name":"rouge_l","dtype":"float64"},{"name":"labels","dtype":"string"}]


hub_id: paddy82/Chat3
license: []
language: []
config_name: default
column_names: ["text","source"]
features: [{"name":"text","dtype":"string"},{"name":"source","dtype":"string"}]
tags:
["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","doi:10.57967/hf/2593","region:us","croissant"]


hub_id: sionic-ai/refcoco_object_detection
license: []
language: []
config_name: default
column_names: ["image_path","answer","question","image"]
features:
[{"name":"image_path","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"question","dtype":"string"},{"name":"image","dtype":"image"}]


hub_id: Mohamed-Ahmed161/Medical-QA-Data
license: []
language: ["en"]
config_name: default
column_names: ["Question","Answer","Source","Header","Data_in_JSON","LLama3_prompt_training"]
features:
[{"name":"Question","dtype":"string"},{"name":"Answer","dtype":"string"},{"name":"Source","dtype":"string"},{"name":"Header","dtype":"string"},{"name":"Data_in_JSON","dtype":"string"},{"name":"LLama3_prompt_training","dtype":"string"}]


hub_id: TheSkullery/Aether-Lite-v1.8
license: ["cc-by-sa-4.0"]
language: []
config_name: default
tags:
["license:cc-by-sa-4.0","size_categories:100K<n<1M","parquet","tabular","text","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["conversations","system","tools","origin","script_version","human_token_count","gpt_token_count","token_distribution","processing_time_ms"]

features:
[{"name":"conversations","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]},{"name":"system","dtype":"string"},{"name":"tools","dtype":"string"},{"name":"origin","dtype":"string"},{"name":"script_version","dtype":"string"},{"name":"human_token_count","dtype":"int64"},{"name":"gpt_token_count","dtype":"int64"},{"name":"token_distribution","dtype":"int64"},{"name":"processing_time_ms","dtype":"float64"}]


hub_id: BahaaEldin0/Questions_to_symptom_points_gpt3.5
license: []
language: []
config_name: default
column_names:
["URL","Condition","Treatment","Symptoms","Causes","Alternative Name","Symptoms Points","Causes Points","Generated Query","Original ID","Symptoms Used","__index_level_0__"]

features:
[{"name":"URL","dtype":"string"},{"name":"Condition","dtype":"string"},{"name":"Treatment","dtype":"string"},{"name":"Symptoms","dtype":"string"},{"name":"Causes","dtype":"string"},{"name":"Alternative Name","dtype":"string"},{"name":"Symptoms Points","dtype":"string"},{"name":"Causes Points","dtype":"string"},{"name":"Generated Query","dtype":"string"},{"name":"Original ID","dtype":"int64"},{"name":"Symptoms Used","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: lmms-lab/ActivityNetQA
license: []
language: []
config_name: default
column_names: ["video_name","question_id","question","answer","type"]
features:
[{"name":"video_name","dtype":"string"},{"name":"question_id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"type","dtype":"string"}]


hub_id: DynamicSuperb/Vehicle_sounds_classification_dataset
license: ["gpl-2.0"]
language: []
config_name: default
column_names: ["audio","file","instruction","label"]
tags:
["license:gpl-2.0","size_categories:1K<n<10K","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]

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


hub_id: DynamicSuperb/BeijingOperaInstrumentClassification
license: []
language: ["en","zh"]
config_name: default
column_names: ["file_name","file","instruction","label"]
tags:
["task_categories:audio-classification","language:en","language:zh","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","music","croissant"]

features:
[{"name":"file_name","dtype":"string"},{"name":"file","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"label","dtype":"string"}]


hub_id: hpprc/auto-wiki-qa-nemotron
license: ["cc-by-sa-4.0"]
language: ["ja"]
config_name: default
column_names: ["passage_id","query","answer","title","section_title","text"]
tags:
["language:ja","license:cc-by-sa-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"passage_id","dtype":"int64"},{"name":"query","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"title","dtype":"string"},{"name":"section_title","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: sebdg/fine-tune-emotions
license: []
language: []
config_name: default
column_names: ["task","instruction","input","output","emotions","sentence"]
features:
[{"name":"task","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"emotions","dtype":"string"},{"name":"sentence","dtype":"string"}]


hub_id: KeWangRobotics/LiftCube
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["observation.state","action","episode_index","frame_index","timestamp","next.done","index","observation.images.front","observation.images.top"]

features:
[{"name":"observation.state","sequence":"float32","length":15},{"name":"action","sequence":"float32","length":4},{"name":"episode_index","dtype":"int64"},{"name":"frame_index","dtype":"int64"},{"name":"timestamp","dtype":"float32"},{"name":"next.done","dtype":"bool"},{"name":"index","dtype":"int64"},{"name":"observation.images.front","dtype":"video_frame"},{"name":"observation.images.top","dtype":"video_frame"}]


hub_id: distilabel-internal-testing/fineweb-edu-dedup-filtered
license: []
language: []
config_name: default
column_names: ["text","id","metadata"]
features:
[{"name":"text","dtype":"string"},{"name":"id","dtype":"string"},{"name":"metadata","struct":[{"name":"dump","dtype":"string"},{"name":"url","dtype":"string"},{"name":"date","dtype":"timestamp[s]"},{"name":"file_path","dtype":"string"},{"name":"language","dtype":"string"},{"name":"language_score","dtype":"float64"},{"name":"token_count","dtype":"int64"},{"name":"score","dtype":"float64"},{"name":"int_score","dtype":"int64"}]}]


hub_id: nuprl-staging/pointer-problems
license: []
language: []
config_name: default
column_names: ["content","num_nodes","num_edges","id"]
features:
[{"name":"content","dtype":"string"},{"name":"num_nodes","dtype":"int64"},{"name":"num_edges","dtype":"int64"},{"name":"id","dtype":"int64"}]


hub_id: sentence-transformers/t2ranking
license: []
language: ["zh"]
config_name: triplet-all
column_names: ["anchor","positive","negative"]
tags:
["task_categories:feature-extraction","task_categories:sentence-similarity","language:zh","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","sentence-transformers","croissant"]


hub_id: jan-hq/instruction-speech-v1.5
license: []
language: []
config_name: default
column_names: ["prompt","answer","length"]
features:
[{"name":"prompt","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"length","dtype":"int64"}]


hub_id: bobox/MSMARCObm25Triplets-labeled-MarginMSE-snowflake-arctic-embed-l
license: []
language: []
config_name: default
column_names: ["query","positive","negative","label"]
features:
[{"name":"query","dtype":"string"},{"name":"positive","dtype":"string"},{"name":"negative","dtype":"string"},{"name":"label","dtype":"float32"}]


hub_id: anniedoris/designqa_retrieval_with_context
license: []
language: []
config_name: default
column_names: ["Unnamed: 0","prompt_without_context","prompt_with_context","ground_truth"]
features:
[{"name":"Unnamed: 0","dtype":"int64"},{"name":"prompt_without_context","dtype":"string"},{"name":"prompt_with_context","dtype":"string"},{"name":"ground_truth","dtype":"string"}]


hub_id: Scav6411/sketch-image-annotated-dataset
license: []
language: []
config_name: default
column_names: ["sketch","photo","prompt"]
features:
[{"name":"sketch","dtype":"image"},{"name":"photo","dtype":"image"},{"name":"prompt","dtype":"string"}]


hub_id: Beijuka/NCHLT_Speech_corpus_Afrikaans
license: []
language: []
config_name: default
column_names: ["speaker_id","age","gender","location","audio","md5sum","duration","pdp_score","orth"]
features:
[{"name":"speaker_id","dtype":"int64"},{"name":"age","dtype":"int64"},{"name":"gender","dtype":"string"},{"name":"location","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"md5sum","dtype":"string"},{"name":"duration","dtype":"float64"},{"name":"pdp_score","dtype":"float64"},{"name":"orth","dtype":"string"}]


hub_id: asoria/copy-gec-arabic
license: []
language: ["es"]
config_name: default
column_names: ["Unnamed: 0","original_sentence","edited_sentence"]
tags:
["language:es","size_categories:10K<n<100K","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"Unnamed: 0","dtype":"int64"},{"name":"original_sentence","dtype":"string"},{"name":"edited_sentence","dtype":"string"}]


hub_id: guyhadad01/Toys_at5_hard-False_candidates15_v5
license: []
language: []
config_name: default
column_names:
["start_prompt","label","ending0","ending1","ending2","ending3","ending4","ending5","ending6","ending7","ending8","ending9","ending10","ending11","ending12","ending13","ending14"]

features:
[{"name":"start_prompt","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"ending0","dtype":"string"},{"name":"ending1","dtype":"string"},{"name":"ending2","dtype":"string"},{"name":"ending3","dtype":"string"},{"name":"ending4","dtype":"string"},{"name":"ending5","dtype":"string"},{"name":"ending6","dtype":"string"},{"name":"ending7","dtype":"string"},{"name":"ending8","dtype":"string"},{"name":"ending9","dtype":"string"},{"name":"ending10","dtype":"string"},{"name":"ending11","dtype":"string"},{"name":"ending12","dtype":"string"},{"name":"ending13","dtype":"string"},{"name":"ending14","dtype":"string"}]


hub_id: Seooooooogi/translated_quac_dataset_with_rejected
license: []
language: []
config_name: default
column_names: ["context","question","accepted","rejected"]
features:
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