# datasets

hub_id: alvations/c4p0-fr-en
license: []
language: []
config_name: default
column_names:
["source","target","target_backto_source","raw_target","raw_target_backto_source","prompt","reverse_prompt","source_langid","target_langid","target_backto_source_langid","doc_id","sent_id","timestamp","url","doc_hash"]

features:
[{"name":"source","dtype":"string"},{"name":"target","dtype":"string"},{"name":"target_backto_source","dtype":"string"},{"name":"raw_target","list":[{"name":"generated_text","dtype":"string"}]},{"name":"raw_target_backto_source","list":[{"name":"generated_text","dtype":"string"}]},{"name":"prompt","dtype":"string"},{"name":"reverse_prompt","dtype":"string"},{"name":"source_langid","dtype":"string"},{"name":"target_langid","dtype":"string"},{"name":"target_backto_source_langid","dtype":"string"},{"name":"doc_id","dtype":"int64"},{"name":"sent_id","dtype":"int64"},{"name":"timestamp","dtype":"timestamp[us]"},{"name":"url","dtype":"string"},{"name":"doc_hash","dtype":"string"}]


hub_id: recastai/databricks-dolly-15k-chatml
license: []
language: ["en"]
config_name: default
column_names: ["instruction","context","response","category","messages"]
tags:
["task_categories:question-answering","task_categories:text2text-generation","language:en","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"instruction","dtype":"string"},{"name":"context","dtype":"string"},{"name":"response","dtype":"string"},{"name":"category","dtype":"string"},{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: mario-dg/dreambooth-cell-images
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["image","prompt","class_name"]
tags:
["task_categories:text-to-image","language:en","license:mit","size_categories:1K<n<10K","parquet","image","text","datasets","dask","mlcroissant","doi:10.57967/hf/1947","region:us","biology","microscopy","brightfield","croissant"]

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


hub_id: mixedbread-ai/wikipedia-data-en-2023-11
license: []
language: []
config_name: default
column_names: ["_id","url","title","text"]
features:
[{"name":"_id","dtype":"string"},{"name":"url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: 5CD-AI/Vietnamese-amazon_polarity-gg-translated
license: []
language: ["en","vi"]
config_name: Vietnamese-amazon_polarity-gg-translated
column_names: ["label","title_en","title_vi","content_en","content_vi"]
tags:
["task_categories:text-classification","language:en","language:vi","size_categories:1M<n<10M","json","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"negative","1":"positive"}}}},{"name":"title_en","dtype":"string"},{"name":"title_vi","dtype":"string"},{"name":"content_en","dtype":"string"},{"name":"content_vi","dtype":"string"}]


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


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.0_seed_1


hub_id: diwank/synthetic-student-profiles
license: []
language: []
config_name: default
column_names:
["Name","Age","Sex","Major","Year","GPA","Hobbies","Country","State/Province","Unique Quality","Story"]

features:
[{"name":"Name","dtype":"string"},{"name":"Age","dtype":"int64"},{"name":"Sex","dtype":"string"},{"name":"Major","dtype":"string"},{"name":"Year","dtype":"string"},{"name":"GPA","dtype":"float64"},{"name":"Hobbies","sequence":"string"},{"name":"Country","dtype":"string"},{"name":"State/Province","dtype":"string"},{"name":"Unique Quality","dtype":"string"},{"name":"Story","dtype":"string"}]


hub_id: moduMM/VQA_dataset_2
license: []
language: []
config_name: default
column_names: ["image","category","question","answer"]
features:
[{"name":"image","dtype":"image"},{"name":"category","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"}]


hub_id: davanstrien/Haiku_Dataset
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["haiku","source"]
features: [{"name":"haiku","dtype":"string"},{"name":"source","dtype":"string"}]
tags:
["task_categories:text-generation","language:en","license:cc-by-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: adamjweintraut/bart-finetuned-lyrlen-256-tokens_2024-03-22_run
license: []
language: []
config_name: default
column_names:
["id","orig","predicted","label","rougeL_min_precision","rougeL_min_recall","rougeL_min_fmeasure","rougeL_median_precision","rougeL_median_recall","rougeL_median_fmeasure","rougeL_max_precision","rougeL_max_recall","rougeL_max_fmeasure","predicted_label_sim"]

features:
[{"name":"id","dtype":"int64"},{"name":"orig","dtype":"string"},{"name":"predicted","dtype":"string"},{"name":"label","dtype":"string"},{"name":"rougeL_min_precision","dtype":"float64"},{"name":"rougeL_min_recall","dtype":"float64"},{"name":"rougeL_min_fmeasure","dtype":"float64"},{"name":"rougeL_median_precision","dtype":"float64"},{"name":"rougeL_median_recall","dtype":"float64"},{"name":"rougeL_median_fmeasure","dtype":"float64"},{"name":"rougeL_max_precision","dtype":"float64"},{"name":"rougeL_max_recall","dtype":"float64"},{"name":"rougeL_max_fmeasure","dtype":"float64"},{"name":"predicted_label_sim","dtype":"float32"}]


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_160m_bo16_2_mix_50_kl_0.1_prm_160m_thr_0.0_seed_1


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.1_seed_1


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_160m_bo16_2_mix_50_kl_0.1_prm_160m_thr_0.1_seed_1


hub_id: CoCoRooXin/topic_inclusion
license: []
language: []
config_name: default
column_names: ["topic","syntagm","labels"]
features:
[{"name":"topic","dtype":"string"},{"name":"syntagm","dtype":"string"},{"name":"labels","dtype":"int64"}]


hub_id: iamcreator/clinical_findings
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["Input","Output","Context","__index_level_0__"]
features:
[{"name":"Input","dtype":"string"},{"name":"Output","dtype":"string"},{"name":"Context","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: jp1924/KsponSpeech
license: []
language: ["ko"]
config_name: default
column_names: ["audio","sentence","id"]
tags:
["task_categories:automatic-speech-recognition","language:ko","size_categories:100M<n<1B","parquet","audio","text","datasets","dask","mlcroissant","region:us","STT","Audio","croissant"]

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


hub_id: p1atdev/OnlineMathContest-1.4k
license: ["cc-by-sa-4.0"]
language: ["ja"]
config_name: default
tags:
["language:ja","license:cc-by-sa-4.0","size_categories:1K<n<10K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","math","croissant"]

column_names:
["contest","contest_url","url","alphabet","name","score","correct","total","editorials","task_content"]

features:
[{"name":"contest","dtype":"string"},{"name":"contest_url","dtype":"string"},{"name":"url","dtype":"string"},{"name":"alphabet","dtype":"string"},{"name":"name","dtype":"string"},{"name":"score","dtype":"string"},{"name":"correct","dtype":"int64"},{"name":"total","dtype":"int64"},{"name":"editorials","list":[{"name":"content","dtype":"string"},{"name":"text","dtype":"string"},{"name":"url","dtype":"string"}]},{"name":"task_content","dtype":"string"}]


hub_id: ahmedallam/RTL-Repo
license: []
language: []
config_name: default
column_names: []
features: []
tags:
["task_categories:text-generation","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:2405.17378","region:us","RTL","Verilog","Benchmarking","Code","croissant"]


hub_id: VladCFC7/en_ukr
license: ["apache-2.0"]
language: ["en","uk"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["language:en","language:uk","license:apache-2.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: davidberenstein1957/ultra_feedback_dutch_cleaned_helm_instruct_geitje_ultra_vs_gpt4_turbo_example
license: []
language: []
config_name: default
column_names:
["GEITje-7B-ultra","TowerInstruct-13B-v0.1","TowerInstruct-7B-v0.2","geitje-7b-chat","gpt-4-turbo","llama-2-13b-chat-dutch","prompt_english","prompt","labelling_model","labelling_prompt","raw_labelling_response","rating_Helpfulness_GEITje-7B-ultra","generations","rating_Conciseness_GEITje-7B-ultra","rating_dutchness_GEITje-7B-ultra","rating_Helpfulness_gpt-4-turbo","rating_Conciseness_gpt-4-turbo","rating_dutchness_gpt-4-turbo"]

features:
[{"name":"GEITje-7B-ultra","dtype":"string"},{"name":"TowerInstruct-13B-v0.1","dtype":"string"},{"name":"TowerInstruct-7B-v0.2","dtype":"string"},{"name":"geitje-7b-chat","dtype":"string"},{"name":"gpt-4-turbo","dtype":"string"},{"name":"llama-2-13b-chat-dutch","dtype":"string"},{"name":"prompt_english","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"labelling_model","dtype":"string"},{"name":"labelling_prompt","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"raw_labelling_response","dtype":"string"},{"name":"rating_Helpfulness_GEITje-7B-ultra","dtype":"float64"},{"name":"generations","dtype":"null"},{"name":"rating_Conciseness_GEITje-7B-ultra","dtype":"float64"},{"name":"rating_dutchness_GEITje-7B-ultra","dtype":"float64"},{"name":"rating_Helpfulness_gpt-4-turbo","dtype":"float64"},{"name":"rating_Conciseness_gpt-4-turbo","dtype":"float64"},{"name":"rating_dutchness_gpt-4-turbo","dtype":"float64"}]


hub_id: HuggingFaceM4/TATQA-rendered-tables
license: []
language: []
config_name: default
column_names: ["image","table","id","paragraphs","questions","derivations","scales","answers","num_rows"]
features:
[{"name":"image","dtype":"image"},{"name":"table","sequence":{"sequence":"string"}},{"name":"id","dtype":"string"},{"name":"paragraphs","sequence":"string"},{"name":"questions","sequence":"string"},{"name":"derivations","sequence":"string"},{"name":"scales","sequence":"string"},{"name":"answers","sequence":"string"},{"name":"num_rows","dtype":"int32"}]


hub_id: pontusnorman123/swe_set1
license: []
language: []
config_name: default
column_names: ["id","words","bboxes","ner_tags","image"]
features:
[{"name":"id","dtype":"string"},{"name":"words","sequence":"string"},{"name":"bboxes","sequence":{"sequence":"float64"}},{"name":"ner_tags","sequence":"int64"},{"name":"image","dtype":"image"}]


hub_id: Atipico1/nq-test-sentence-level
license: []
language: []
config_name: default
column_names:
["question","answers","gpt_answer_sentence","gpt_adv_sentence","is_valid_adv_sentence","gpt_adv_passage","is_valid_adv_passage","hasanswer","ctxs"]

features:
[{"name":"question","dtype":"string"},{"name":"answers","sequence":"string"},{"name":"gpt_answer_sentence","dtype":"string"},{"name":"gpt_adv_sentence","sequence":"string"},{"name":"is_valid_adv_sentence","dtype":"bool"},{"name":"gpt_adv_passage","sequence":"string"},{"name":"is_valid_adv_passage","dtype":"bool"},{"name":"hasanswer","dtype":"bool"},{"name":"ctxs","list":[{"name":"hasanswer","dtype":"bool"},{"name":"score","dtype":"float32"},{"name":"text","dtype":"string"}]}]


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.3_seed_1


hub_id: HuggingFaceH4/h4_10k_prompts_ranked_gen
license: []
language: []
config_name: default
column_names:
["prompt","quality","metadata","avg_rating","num_responses","agreement_ratio","raw_responses","kind","cluster_description","topic","messages"]

features:
[{"name":"prompt","dtype":"string"},{"name":"quality","list":[{"name":"user_id","dtype":"string","id":"question"},{"name":"value","dtype":"string","id":"suggestion"},{"name":"status","dtype":"string","id":"question"}]},{"name":"metadata","dtype":"string","id":"metadata"},{"name":"avg_rating","dtype":"float64"},{"name":"num_responses","dtype":"int64"},{"name":"agreement_ratio","dtype":"float64"},{"name":"raw_responses","sequence":"int64"},{"name":"kind","dtype":"string"},{"name":"cluster_description","dtype":"string"},{"name":"topic","dtype":"string"},{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: pietrolesci/mnli-embeddings
tags: ["size_categories:100K<n<1M","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: pietrolesci__bert-tiny_mnli_cdc7ea0d50_epoch20
column_names: ["uid","label","embeddings"]
features:
[{"name":"uid","dtype":"int64"},{"name":"label","dtype":{"class_label":{"names":{"0":"entailment","1":"neutral","2":"contradiction"}}}},{"name":"embeddings","sequence":"float64"}]


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_160m_bo16_2_mix_50_kl_0.1_prm_160m_thr_0.3_seed_1


hub_id: BramVanroy/ultra_feedback_dutch_cleaned
license: ["apache-2.0"]
language: ["nl"]
config_name: sft_gpt4_hq
column_names: ["prompt","messages"]
tags:
["task_categories:text2text-generation","task_categories:text-generation","language:nl","license:apache-2.0","size_categories:100K<n<1M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","conversational","preference-tuning","croissant"]


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_160m_bo16_2_mix_50_kl_0.1_prm_160m_thr_1.0_seed_1


hub_id: ylacombe/libritts_r_tags_tagged_10k
license: []
language: []
config_name: other
column_names:
["text","text_original","speaker_id","path","chapter_id","id","utterance_pitch_mean","utterance_pitch_std","snr","c50","speaking_rate","phonemes","gender","pitch","noise","reverberation","speech_monotony"]

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":"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"}]


hub_id: ylacombe/mls-eng-10k-tags_tagged_10k
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","original_text","text"]

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":"original_text","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: Maiia/forum_sents
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["sentences","paragraphs","labels"]
features:
[{"name":"sentences","sequence":"string"},{"name":"paragraphs","sequence":"string"},{"name":"labels","sequence":"string"}]


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_1.0_seed_1


hub_id: rPucs/TripletDollyQA-0.1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["instruction","context","response","category"]
features:
[{"name":"instruction","dtype":"string"},{"name":"context","list":[{"name":"head","dtype":"string"},{"name":"tail","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"response","dtype":"string"},{"name":"category","dtype":"string"}]


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.0_seed_2


hub_id: yousefg/scientific_studies
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["Input","id"]
features: [{"name":"Input","dtype":"string"},{"name":"id","dtype":"int64"}]
tags:
["task_categories:text-generation","language:en","license:apache-2.0","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","chemistry","medical","science","croissant"]


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_160m_bo16_2_mix_50_kl_0.1_prm_160m_thr_0.0_seed_2


hub_id: parler-tts/libritts_r_tags_tagged_10k_generated
license: ["cc-by-4.0"]
language: ["en"]
config_name: other
tags:
["task_categories:text-to-speech","language:en","license:cc-by-4.0","size_categories:100M<n<1B","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:2305.18802","arxiv:2402.01912","region:us","croissant"]

column_names:
["text","text_original","speaker_id","path","chapter_id","id","utterance_pitch_mean","utterance_pitch_std","snr","c50","speaking_rate","phonemes","gender","pitch","noise","reverberation","speech_monotony","text_description"]

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":"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"}]


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.1_seed_2


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_160m_bo16_2_mix_50_kl_0.1_prm_160m_thr_0.1_seed_2


hub_id: Lil-Graver/small-altai-corpus
license: ["cc-by-4.0"]
language: []
config_name: default
column_names:
["\u0420\u0443\u0441\u0441\u043a\u0438\u0439","\u0410\u043b\u0442\u0430\u0439\u0441\u043a\u0438\u0439"]

features:
[{"name":"\u0420\u0443\u0441\u0441\u043a\u0438\u0439","dtype":"string"},{"name":"\u0410\u043b\u0442\u0430\u0439\u0441\u043a\u0438\u0439","dtype":"string"}]


hub_id: vwxyzjn/summarize_from_feedback_oai_preprocessing_1711138084
license: []
language: []
config_name: default
column_names:
["info","summaries","choice","worker","batch","split","extra","query_token","query","chosen","chosen_token","chosen_token_len","rejected","rejected_token","rejected_token_len","chosen_policy","rejected_policy","policies","chosen_len_minus_rejected_len","query_chosen","query_chosen_token","query_chosen_token_len","query_rejected","query_rejected_token","query_rejected_token_len","query_token_len","query_chosen_token_response_label","query_rejected_token_response_label"]

features:
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license: []
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config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
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license: []
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config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
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hub_id: ThWu/mmlu_test_val_split
license: []
language: []
config_name: default
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hub_id: agicorp/piqa
license: ["unknown"]
language: ["en"]
config_name: plain_text
column_names: ["goal","sol1","sol2","label"]
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hub_id: agicorp/python_code_instructions_18k_alpaca
license: []
language: []
config_name: default
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hub_id: agicorp/Agentinstruct
license: []
language: ["en"]
config_name: default
column_names: ["conversations","id"]
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hub_id: driesverachtert/basic_shapes_object_detection
license: ["apache-2.0"]
language: ["en"]
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hub_id: alvations/c4p0-v1-en-es
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language: []
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hub_id: cl-nagoya/nu-snli
license: ["cc-by-sa-4.0"]
language: ["ja","en"]
config_name: default
column_names: ["premise","hypothesis","label"]
tags:
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hub_id: pierre-pessarossi/climate-question-answers
license: ["mit"]
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config_name: default
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license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
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hub_id: togoron/search-query-json
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["user","assistant"]
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license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
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hub_id: cl-nagoya/nu-mnli
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language: ["ja","en"]
config_name: default
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hub_id: biswa921/tewiki-latest-pages-articles-raw
license: ["apache-2.0"]
language: ["te"]
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hub_id: yuiseki/scp-jp-plain
license: ["cc-by-sa-3.0"]
language: []
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hub_id: cl-nagoya/jmarco
license: []
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column_names: ["query_ja","positive_ja","negative_ja","query_en","positive_en","negative_en"]
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license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
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license: []
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config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
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hub_id: AmrutaMuthal/controlnet_layout2image_scaled_filled_boxes_wt_masks_unsharded
license: []
language: []
config_name: default
column_names: ["image","Unnamed: 0.1","Unnamed: 0","caption","conditioning_image","mask_image","obj_bbox_mask"]
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license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
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license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
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license: []
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config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
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license: []
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hub_id: korexyz/pokemon-blip-captions-embeddings
tags: ["size_categories:n<1K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
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hub_id: yuiseki/g-uc
license: []
language: []
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license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
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hub_id: lerobot/pusht
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license: []
language: []
config_name: default
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hub_id: lerobot/aloha_sim_insertion_human
tags: ["region:us"]
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language: []
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hub_id: AtAndDev/Sisyphus-v0.0.1
license: []
language: []
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license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
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license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
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hub_id: strickvl/isafpressreleases
license: ["cc-by-sa-4.0"]
language: ["en"]
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hub_id: Rasu23/iapp_chosen_reject_orpov1
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language: []
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hub_id: Kelvin878/mvtec
license: []
language: []
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hub_id: CodecSR/librispeech_asr_test_48k_synth
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hub_id: Ramitha/open-australian-legal-qa-results-k-test-cosine
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
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hub_id: kristinashemet/test_23.03
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Text","Question","Answer"]
features:
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hub_id: cccornflake/layoutlm_dataset2
tags: ["size_categories:100K<n<1M","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["image","input_ids","attention_mask","token_type_ids","bbox","labels"]
features:
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hub_id: danjacobellis/audio_har
license: []
language: []
config_name: default
column_names: ["path","label","label_str","participant"]
features:
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hub_id: ivanlmh/NATI_audio
license: []
language: []
config_name: default
column_names: ["audio","transcript","sound_enviroment","noisy","personal"]
features:
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hub_id: Viet-Medical/medical_bench_raw
license: []
language: []
config_name: default
column_names: ["questions","a","b","c","d","source_link","correct_answer"]
features:
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hub_id: BastienHot/BioASQ-Task-B-Revised
license: ["cc-by-2.5"]
language: []
config_name: default
column_names: ["context","question","answer"]
tags:
["license:cc-by-2.5","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: SKNahin/open-large-bengali-asr-data
license: []
language: ["bn"]
config_name: default
column_names: ["audio","transcription","duration","sr","wav2vec2pred","wer","wps","is_better"]
tags:
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features:
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hub_id: tee-oh-double-dee/social-orientation
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["id","social_orientation"]
features: [{"name":"id","dtype":"string"},{"name":"social_orientation","dtype":"string"}]
tags:
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hub_id: PhaedrusFlow/primo
license: ["cc-by-nc-nd-4.0"]
language: []
config_name: default
column_names: ["prompt","prompt_id","messages"]
tags:
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features:
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hub_id: umarigan/GPTeacher-General-Instruct-tr
license: []
language: ["tr"]
config_name: default
column_names: ["instruction","input","response"]
tags:
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features:
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hub_id: aniketr/hpdv2-test-no-embeds
license: []
language: ["en"]
config_name: default
column_names: ["user_id","prompt","image_left_id","image_right_id","pref","ranking_id"]
tags:
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features:
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hub_id: danjacobellis/audio_har_descript_24kHz
license: []
language: []
config_name: default
column_names: ["label","label_str","participant","codes"]
features:
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hub_id: gvlassis/shakespearefirstfolio
license: []
language: ["en"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["task_categories:text-generation","language:en","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","shakespeare","croissant"]


hub_id: Kushtrim/dardania-lex
license: []
language: ["sq"]
config_name: default
column_names: ["url","law","law_text","law_nr","date","nr_gz","renamed_filename"]
features:
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hub_id: amu-cai/pl-asr-bigos-v2-diagnostic
tags: ["license:cc-by-sa-4.0","region:us"]
license: ["cc-by-sa-4.0"]
language: []
config_name: pjatk-clarin_mobile-15
column_names:
["audioname","split","dataset","speaker_id","ref_orig","ref_spoken","ref_written","audio","audio_duration_samples","audio_duration_seconds","samplingrate_orig","sampling_rate","audiopath_bigos","audiopath_local","protocol_version","speaker_age","speaker_gender","utt_length_words","utt_length_chars","speech_rate_words","speech_rate_chars"]

features:
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hub_id: WenhaoWang/AnyPattern
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["Pattern","Elaboration","Demo_1","Demo_2","Demo_3","Demo_4"]
tags:
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features:
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hub_id: gsstein/raw_summ_test
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","url","title","summary","text","prompt","raw_summary"]
features:
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hub_id: echo840/OCRBench
license: []
language: []
config_name: default
column_names: ["dataset","question","question_type","answer","image"]
tags:
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features:
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hub_id: medric49/dolly-rag-gpt2
license: []
language: []
config_name: default
column_names: ["instruction","context","response","category","res:airedefined/gpt2-dolly-rag"]
features:
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hub_id: syntaxsynth/instruct_code_cleaning
license: []
language: []
config_name: default
column_names: ["source","task","question","answer"]
tags:
["task_categories:text-generation","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
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hub_id: Abhinay123/sanscrit_vedas_2
license: []
language: []
config_name: default
column_names: ["path","speech","sampling_rate","text"]
features:
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hub_id: CodecSR/librispeech_asr_test_24k_synth
license: []
language: []
config_name: default
column_names: ["audio","text","id"]
features:
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hub_id: zcs15/ImageNet-D
tags: ["license:mit","region:us"]
license: ["mit"]
language: []
config_name: default
column_names: ["image","label"]
features:
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hub_id: nihiluis/argureviews
license: []
language: []
config_name: default
column_names: ["type","text","annotator","component","specificity","sentiment","aspect","id","sidx"]
features:
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hub_id: jp1924/KconfSpeech
license: []
language: ["ko"]
config_name: default
column_names: ["audio","sentence","id","dataSet"]
tags:
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features:
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hub_id: ravithejads/ms_marco_hi_temp
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: jordiclive/FABSA
license: []
language: []
config_name: default
column_names: ["id","org_index","data_source","industry","text","labels","label_codes"]
features:
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hub_id: sardinelab/flores-for-Tower
license: []
language: []
config_name: default
column_names: ["lp","src","ref","prompt","tower_7b_mt","tower_7b_comet"]
features:
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license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_160m_thr_0.1_seed_3


hub_id: naorm/caption-eval
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["model_name","metric_name","value"]
features:
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hub_id: umarigan/rm_instruct_helpful_preferences_tr
license: []
language: ["tr"]
config_name: default
column_names: ["\u0130stem","se\u00e7ilen","ret"]
tags:
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features:
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hub_id: naorm/all-captions
license: []
language: []
config_name: default
column_names:
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hub_id: vicgalle/worldsim-claude-opus
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["messages"]
features: [{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]
tags:
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hub_id: ravithejads/ms_marco_hi_mr_te_ta
license: []
language: []
config_name: default
column_names:
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hub_id: TifinLab/kabyle_asr
license: ["cc"]
language: ["kab"]
config_name: default
column_names: ["audio","Licence","Text"]
tags:
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features:
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hub_id: TifinLab/amazigh_moroccan_asr
license: ["cc"]
language: ["zgh"]
config_name: default
column_names: ["audio","licence","transcription"]
tags:
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features:
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hub_id: YawKar/wikitext_with_entitled_paragraphs
license: []
language: []
config_name: default
column_names: ["heading","paragraph"]
features: [{"name":"heading","dtype":"string"},{"name":"paragraph","dtype":"string"}]
tags:
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license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_160m_thr_0.3_seed_1


hub_id: nuprl/MultiPL-T-racket-selfinstruct
license: ["bigcode-openrail-m"]
language: []
config_name: default
column_names: ["content"]
features: [{"name":"content","dtype":"string"}]
tags:
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hub_id: eren23/cs_item_embeddings_small
license: []
language: []
config_name: default
column_names: ["embeddings","labels","weapon_type"]
features:
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hub_id: tfshaman/metamath_sympy_v1
license: []
language: []
config_name: default
column_names: ["output","answer","question","code_output","data_type"]
features:
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hub_id: mii-community/UsenetArchiveIT-conversations-test
license: []
language: []
config_name: default
column_names: ["title","id","original_url","newsgroup","messages"]
features:
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hub_id: adamjweintraut/bart-finetuned-lyrlen-512-tokens_2024-03-24_run
license: []
language: []
config_name: default
column_names:
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hub_id: davidberenstein1957/ultra_feedback_dutch_cleaned_rated_split_model_and_criterion
license: []
language: []
config_name: default
column_names: ["idx","prompt","response","rating"]
features:
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hub_id: danjacobellis/audio_har_descript_44kHz_frames
license: []
language: []
config_name: default
column_names: ["codes","label","label_str","participant"]
features:
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hub_id: jordanfan/processed_us_congress_117_bills_25_75_perentile
license: []
language: []
config_name: default
column_names:
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hub_id: tfshaman/error_metamath_sympy_v1
license: []
language: []
config_name: default
column_names: ["output","answer","question","code_output","data_type","exception_type"]
features:
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hub_id: jphme/slimorca_dedup_german_experimental
license: []
language: []
config_name: default
column_names: ["id","system","instruction","response"]
features:
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hub_id: distilabel-internal-testing/testing-distilabel-cli
license: []
language: []
config_name: push_to_hub_2
column_names: ["instruction","completion","meta","model","generation"]
features:
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hub_id: danjacobellis/audio_har_descript_44kHz_frames_900
license: []
language: []
config_name: default
column_names: ["codes","label","label_str","participant"]
features:
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hub_id: jphme/hermes_german_experimental
license: []
language: []
config_name: default
column_names: ["id","instruction","input","output","score_deutsch","score_antwort","score_prompt"]
features:
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hub_id: jphme/synthia_german_experimental
license: []
language: []
config_name: default
column_names: ["system","instruction","response","id","score_deutsch","score_antwort","score_prompt"]
features:
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hub_id: hanzla/datascience-instruct
license: []
language: []
config_name: default
column_names: ["user","assistant","__index_level_0__"]
features:
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hub_id: Saibo-creator/ptb-test-1k-llm-few-shot
license: []
language: []
config_name: default
column_names: ["id","text","target","words","draft"]
features:
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hub_id: AlekseyKorshuk/code-alpaca-eval-debug-completions
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["model_input","baseline_response","completion"]
features:
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hub_id: AlekseyKorshuk/CS1QACensoredClassEval-responses
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["model_input","baseline_response","chat_response","starchat_response"]
features:
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hub_id: AlekseyKorshuk/CS1QACensoredClassEval-responses-starchat-annotations
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["model_input","baseline_response","chat_response","starchat_response","starchat_annotation"]
features:
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hub_id: AlekseyKorshuk/CS1QACensoredClassEval-responses-chat-annotations
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["model_input","baseline_response","chat_response","starchat_response","chat_annotation"]
features:
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hub_id: alexthomas4/highsub-classification
license: []
language: []
config_name: default
column_names: ["image","image_url","id","label"]
features:
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hub_id: kartikagg98/HINMIX_hi-en
license: ["apache-2.0"]
language: ["hi","en"]
config_name: lcsalign-noisyhicmrom
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
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license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_410m_thr_0.1_seed_1


license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_160m_thr_0.1_seed_1


hub_id: knguyennguyen/wikipedia_laptop
license: ["mit"]
language: []
config_name: default
column_names: ["text","type","__index_level_0__"]
features:
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license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_160m_thr_1.0_seed_1


license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_410m_thr_0.3_seed_1


license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_410m_thr_1.0_seed_1


hub_id: scene-genie/ARCHIVED-instagram-dataset-train
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: EinsZwo/nlid_10k
license: []
language: []
config_name: default
column_names: ["lang","doc","supertags","supertag_list","nlid_label"]
features:
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license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_160m_thr_0.1_seed_2


license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_160m_thr_0.3_seed_2


license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_160m_thr_1.0_seed_2


license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_410m_thr_0.1_seed_2


hub_id: marcelomoreno26/geoguessr
license: []
language: []
config_name: default
column_names: ["image","label"]
features: [{"name":"image","dtype":"image"},{"name":"label","dtype":"string"}]
tags:
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hub_id: DLIlab/mind2web_description
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["description","website","annotation_id"]
features:
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license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_410m_thr_0.3_seed_2


license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_160m_thr_0.3_seed_3


license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_160m_thr_1.0_seed_3


license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_410m_thr_1.0_seed_2


license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_410m_thr_0.1_seed_3


license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_410m_thr_0.3_seed_3


license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_1.4b_bo2_100_kl_0.1_prm_410m_thr_1.0_seed_3


hub_id: eming/stock_original_flatten_data
license: []
language: []
config_name: default
column_names: ["trade_date","open","high","low","close","pre_close","change","pct_chg","vol","amount","ts_code"]
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hub_id: keirp/common_crawl_sample
license: []
language: []
config_name: default
column_names: ["text","timestamp","url","clean"]
features:
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hub_id: notoxicpeople/japan_diet_q_and_a_sessions_20k
license: ["mit"]
language: ["ja"]
config_name: default
column_names: ["id","title","content"]
tags:
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features:
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hub_id: danjacobellis/audio_har_descript_44kHz_frames_640
license: []
language: []
config_name: default
column_names: ["codes","label","label_str","participant"]
features:
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hub_id: HAERAE-HUB/QARV-preview
license: []
language: []
config_name: default
column_names: ["question","template","method","__index_level_0__"]
features:
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hub_id: danjacobellis/audio_har_descript_44kHz_frames_1240_50p
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["codes","label","label_str","participant"]
features:
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hub_id: parler-tts/mls-eng-10k-tags_tagged_10k_generated
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
tags:
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column_names:
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features:
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hub_id: mwz/sindhi_alpaca_yc_filtered
license: ["mit"]
language: []
config_name: default
column_names: ["sindhi_instruction","sindhi_input","sindhi_output"]
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hub_id: eming/stock_price_trunked_128_12
license: []
language: []
config_name: default
column_names: ["trade_date","close","MA3","MA5","MA10","MA20","MA60","MACD","ts_code","predict","predict_date"]
features:
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hub_id: MarkrAI/AutoRAG-evaluation-2024-LLM-paper-v1
license: ["cc-by-nc-sa-4.0"]
language: []
config_name: qa
column_names: ["qid","query","retrieval_gt","generation_gt"]
tags:
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features:
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hub_id: atgarcia/EMGSoundTest
license: []
language: []
config_name: default
column_names: ["text","audio","emg","emg_sound"]
features:
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hub_id: flamecracker/eflqa_dataset
license: []
language: []
config_name: default
column_names:
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hub_id: ERHT28/mi_flyte_test
license: []
language: []
config_name: default
column_names: ["id","doc_type","publish_year","lang_fasttext","lang_fasttext_conf","text","quality"]
features:
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hub_id: shidowake/Doctor-Shotgun_capybara-sharegpt_subset_split_0
license: []
language: []
config_name: default
column_names: ["source","conversations"]
features:
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license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-reward-model-deberta-v3-large-v2-re-preference-64-nsample-2-16_mix_random_seed_1

column_names:
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features:
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license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-reward-model-deberta-v3-large-v2-re-preference-64-nsample-2-16_mix_random_seed_2

column_names:
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features:
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license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-reward-model-deberta-v3-large-v2-re-preference-64-nsample-2-16_mix_random_seed_3

column_names:
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features:
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hub_id: zhaizy/test
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["original_text","rewrite_prompt","rewritten_text"]
features:
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hub_id: lerobot/xarm_lift_medium
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
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hub_id: boda/kaneko_data
license: []
language: []
config_name: default
column_names: ["corrections","incorrect_sentence","correct_sentence"]
features:
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hub_id: tasksource/lsat-lr
license: []
language: []
config_name: default
column_names: ["context","id_string","answers","label","question"]
features:
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hub_id: confit/emodb-demo
license: []
language: []
config_name: default
column_names: ["audio","emotion","label"]
tags:
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features:
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hub_id: confit/pianos-demo
license: []
language: []
config_name: default
column_names: ["audio","sound","label"]
tags:
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features:
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hub_id: confit/mswc-demo
license: []
language: []
config_name: spanish
column_names: ["file","audio","keyword","label"]
tags:
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features:
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hub_id: confit/gtzan-demo
license: []
language: []
config_name: default
column_names: ["audio","genre","label"]
tags:
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features:
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hub_id: YawKar/summarized_and_tokenized_by_gpt2_wiki
license: []
language: []
config_name: default
column_names: ["heading","paragraph","input_ids","attention_mask"]
features:
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hub_id: EcrOp/RVL-CDIP-documents-donut
license: []
language: []
config_name: default
column_names: ["image","ground_truth","label"]
features:
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hub_id: confit/esc50-demo
license: []
language: []
config_name: fold5
column_names: ["audio","sound","label"]
tags:
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features:
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hub_id: MaryamAlAli/Mixat_Voice
license: []
language: []
config_name: default
column_names: ["audio","transcription","language","Part","duration","word_count"]
features:
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hub_id: allganize/rag-ko
license: []
language: ["ko"]
config_name: default
tags:
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column_names:
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hub_id: trl-lib/kto-mix-14k
license: []
language: []
config_name: default
column_names: ["prompt","completion","label"]
features:
[{"name":"prompt","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"completion","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"label","dtype":"bool"}]


hub_id: ellenhp/libpostal
license: []
language: []
config_name: uk_openaddresses
column_names: ["lang","country","tokens","tags"]
features:
[{"name":"lang","dtype":"string"},{"name":"country","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"tags","sequence":"int64"}]


hub_id: allganize/flare-convfinqa-multiturn-ko
license: []
language: []
config_name: default
column_names: ["conversation_id","conversations","gpt"]
features:
[{"name":"conversation_id","dtype":"string"},{"name":"conversations","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"gpt","dtype":"string"}]


hub_id: AlekseyKorshuk/CS1QACensoredClassEval-WizardCoder-3B-V1.0-dpo-beta-0.01
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["model_input","baseline_response","response"]
features:
[{"name":"model_input","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"baseline_response","dtype":"string"},{"name":"response","dtype":"string"}]


hub_id: AlekseyKorshuk/CS1QACensoredClassEval-WizardCoder-3B-V1.0-dpo-beta-0.01annotations
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["model_input","baseline_response","response","annotation"]
features:
[{"name":"model_input","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"baseline_response","dtype":"string"},{"name":"response","dtype":"string"},{"name":"annotation","dtype":"float64"}]


hub_id: PatrickHaller/pecc
license: ["mit"]
language: ["en"]
config_name: euler
column_names: ["id","title","problem","difficulty","solution","story_problem"]
tags:
["task_categories:text-generation","language:en","license:mit","size_categories:1K<n<10K","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:2404.18766","region:us","code","croissant"]

features:
[{"name":"id","dtype":"int32"},{"name":"title","dtype":"string"},{"name":"problem","dtype":"string"},{"name":"difficulty","dtype":"string"},{"name":"solution","dtype":"string"},{"name":"story_problem","dtype":"string"}]


hub_id: allganize/en-fpb-ko
license: ["mit"]
language: ["ko"]
config_name: default
column_names: ["conversation_id","conversations"]
tags:
["language:ko","license:mit","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

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


hub_id: allganize/flare-fiqasa-ko
license: ["mit"]
language: ["ko"]
config_name: default
column_names: ["conversation_id","conversations"]
tags:
["language:ko","license:mit","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

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


hub_id: Anas989898/DPO-datascience
license: []
language: []
config_name: default
column_names: ["prompt","regected","chosen"]
features:
[{"name":"prompt","dtype":"string"},{"name":"regected","dtype":"string"},{"name":"chosen","dtype":"string"}]


hub_id: uvci/Koumankan_mt_dyu_fr
license: []
language: ["bm","fr"]
config_name: default
column_names: ["ID","translation"]
tags:
["task_categories:translation","language:bm","language:fr","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"ID","dtype":"string"},{"name":"translation","dtype":{"translation":{"languages":["dyu","fr"]}}}]


hub_id: WillHeld/HeySQuAD_distill
license: []
language: []
config_name: default
column_names:
["audio","transcription","question","context","answers","is_impossible","id","plausible_answers","response"]

features:
[{"name":"audio","dtype":"audio"},{"name":"transcription","dtype":"string"},{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"answers","list":[{"name":"answer_start","dtype":"int64"},{"name":"text","dtype":"string"}]},{"name":"is_impossible","dtype":"bool"},{"name":"id","dtype":"string"},{"name":"plausible_answers","list":[{"name":"answer_start","dtype":"int64"},{"name":"text","dtype":"string"}]},{"name":"response","dtype":"string"}]


hub_id: jlbaker361/tex_inv_hot_ip_vanilla
license: []
language: []
config_name: default
column_names:
["label","tex_inv_hot_ip_prompt_similarity","tex_inv_hot_ip_identity_consistency","tex_inv_hot_ip_negative_prompt_similarity","tex_inv_hot_ip_target_prompt_similarity","tex_inv_hot_ip_aesthetic_score"]

features:
[{"name":"label","dtype":"string"},{"name":"tex_inv_hot_ip_prompt_similarity","dtype":"float32"},{"name":"tex_inv_hot_ip_identity_consistency","dtype":"float32"},{"name":"tex_inv_hot_ip_negative_prompt_similarity","dtype":"float32"},{"name":"tex_inv_hot_ip_target_prompt_similarity","dtype":"float32"},{"name":"tex_inv_hot_ip_aesthetic_score","dtype":"float32"}]


hub_id: jlbaker361/tex_inv_reward_ip_vanilla
license: []
language: []
config_name: default
column_names:
["label","tex_inv_reward_ip_prompt_similarity","tex_inv_reward_ip_identity_consistency","tex_inv_reward_ip_negative_prompt_similarity","tex_inv_reward_ip_target_prompt_similarity","tex_inv_reward_ip_aesthetic_score"]

features:
[{"name":"label","dtype":"string"},{"name":"tex_inv_reward_ip_prompt_similarity","dtype":"float32"},{"name":"tex_inv_reward_ip_identity_consistency","dtype":"float32"},{"name":"tex_inv_reward_ip_negative_prompt_similarity","dtype":"float32"},{"name":"tex_inv_reward_ip_target_prompt_similarity","dtype":"float32"},{"name":"tex_inv_reward_ip_aesthetic_score","dtype":"float32"}]


hub_id: kamilakesbi/ami_spd_augmented_test2
license: []
language: []
config_name: default
column_names: ["audio","speakers","timestamps_start","timestamps_end"]
features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"speakers","sequence":"string"},{"name":"timestamps_start","sequence":"float64"},{"name":"timestamps_end","sequence":"float64"}]


hub_id: AI4LT/Khinalug_ASR
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["transcript","audio","speaker_id"]
tags:
["license:apache-2.0","size_categories:1K<n<10K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"transcript","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"speaker_id","dtype":"int64"}]


hub_id: kamilakesbi/ami_spd_augmented_test2_processed
tags: ["size_categories:10K<n<100K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["waveforms","labels","nb_speakers"]
features:
[{"name":"waveforms","sequence":"float64"},{"name":"labels","sequence":{"sequence":"uint8"}},{"name":"nb_speakers","sequence":"int8"}]


hub_id: Jay-Rajput/DIS_IPL_Leads
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["Arpit","Ganesh","Haaris","Jay","Kishore","Megha","Naveein","Neha","Praveen","Rakesh","Sai","Sahil","Sunil","Vaibhav","Vinay"]

features:
[{"name":"Arpit","struct":[{"name":"points","dtype":"int64"}]},{"name":"Ganesh","struct":[{"name":"points","dtype":"int64"}]},{"name":"Haaris","struct":[{"name":"points","dtype":"int64"}]},{"name":"Jay","struct":[{"name":"points","dtype":"int64"}]},{"name":"Kishore","struct":[{"name":"points","dtype":"int64"}]},{"name":"Megha","struct":[{"name":"points","dtype":"int64"}]},{"name":"Naveein","struct":[{"name":"points","dtype":"int64"}]},{"name":"Neha","struct":[{"name":"points","dtype":"int64"}]},{"name":"Praveen","struct":[{"name":"points","dtype":"int64"}]},{"name":"Rakesh","struct":[{"name":"points","dtype":"int64"}]},{"name":"Sai","struct":[{"name":"points","dtype":"int64"}]},{"name":"Sahil","struct":[{"name":"points","dtype":"int64"}]},{"name":"Sunil","struct":[{"name":"points","dtype":"int64"}]},{"name":"Vaibhav","struct":[{"name":"points","dtype":"int64"}]},{"name":"Vinay","struct":[{"name":"points","dtype":"int64"}]}]


hub_id: Shivanikumar/cancer_llama2
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Questions","Answers","text"]
features:
[{"name":"Questions","dtype":"string"},{"name":"Answers","dtype":"string"},{"name":"text","dtype":"string"}]


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_14m_thr_0.0_seed_3_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.0_seed_1_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_14m_thr_0.0_seed_1_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.0_seed_3_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_14m_thr_0.0_seed_2_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.0_seed_2_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.1_seed_1_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_160m_thr_0.0_seed_1_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.3_seed_1_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_1.0_seed_1_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_160m_thr_0.0_seed_3_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.5_seed_1_t_1.0


hub_id: vikp/publaynet_bench
license: []
language: []
config_name: default
column_names: ["image","id","bboxes","labels","category_ids"]
features:
[{"name":"image","dtype":"image"},{"name":"id","dtype":"int64"},{"name":"bboxes","sequence":{"sequence":"int64"}},{"name":"labels","sequence":"string"},{"name":"category_ids","sequence":"int64"}]


hub_id: anderloh/Vehicle_dataset
license: []
language: []
config_name: first
column_names: ["audio","label"]
features:
[{"name":"audio","dtype":"audio"},{"name":"label","dtype":{"class_label":{"names":{"0":"Helicopter","1":"Racecar"}}}}]


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


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.1_seed_2_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.5_seed_2_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.3_seed_2_t_1.0


hub_id: danthareja/cognitive-distortion
license: []
language: []
config_name: default
column_names: ["id"," patient_question","distorted_part","dominant_distortion"]
features:
[{"name":"id","dtype":"int64"},{"name":" patient_question","dtype":"string"},{"name":"distorted_part","dtype":"string"},{"name":"dominant_distortion","dtype":{"class_label":{"names":{"0":"All-or-nothing thinking","1":"Emotional Reasoning","2":"No Distortion","3":"Magnification","4":"Fortune-telling","5":"Personalization","6":"Should statements","7":"Overgeneralization","8":"Mind Reading","9":"Mental filter","10":"Labeling"}}}}]


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_1.0_seed_2_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.1_seed_3_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.3_seed_3_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.5_seed_3_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_1.0_seed_3_t_1.0


hub_id: jgibb/billsum_abstracted_us_congress_117_bills
license: []
language: []
config_name: default
column_names:
["Unnamed: 0","index","id","policy_areas","cur_summary","cur_text","title","titles_official","titles_short","sponsor_name","sponsor_party","sponsor_state","cleaned_summary","extracted_text","extracted_text_375","extracted_text_750","extracted_text_1000","bertsum_extracted_250","bertsum_extracted_375","bertsum_extracted_375_1000","bertsum_extracted_250_1000","bertsum_extracted_375_750","bertsum_extracted_250_750","bertsum_extracted_375_500","bertsum_extracted_250_500","bertsum_extracted_375_375","bertsum_extracted_250_375","text_len","billsum_abstracted_1000"]

features:
[{"name":"Unnamed: 0","dtype":"int64"},{"name":"index","dtype":"int64"},{"name":"id","dtype":"string"},{"name":"policy_areas","dtype":"string"},{"name":"cur_summary","dtype":"string"},{"name":"cur_text","dtype":"string"},{"name":"title","dtype":"string"},{"name":"titles_official","dtype":"string"},{"name":"titles_short","dtype":"string"},{"name":"sponsor_name","dtype":"string"},{"name":"sponsor_party","dtype":"string"},{"name":"sponsor_state","dtype":"string"},{"name":"cleaned_summary","dtype":"string"},{"name":"extracted_text","dtype":"string"},{"name":"extracted_text_375","dtype":"string"},{"name":"extracted_text_750","dtype":"string"},{"name":"extracted_text_1000","dtype":"string"},{"name":"bertsum_extracted_250","dtype":"string"},{"name":"bertsum_extracted_375","dtype":"string"},{"name":"bertsum_extracted_375_1000","dtype":"string"},{"name":"bertsum_extracted_250_1000","dtype":"string"},{"name":"bertsum_extracted_375_750","dtype":"string"},{"name":"bertsum_extracted_250_750","dtype":"string"},{"name":"bertsum_extracted_375_500","dtype":"string"},{"name":"bertsum_extracted_250_500","dtype":"string"},{"name":"bertsum_extracted_375_375","dtype":"string"},{"name":"bertsum_extracted_250_375","dtype":"string"},{"name":"text_len","dtype":"int64"},{"name":"billsum_abstracted_1000","dtype":"string"}]


hub_id: mfidabel/wikipedia_fhe_tokens
license: []
language: []
config_name: default
column_names:
["predicted_token","token_00","token_01","token_02","token_03","token_04","token_05","token_06","token_07","token_08","token_09","token_10","token_11","token_12","token_13","token_14","token_15","token_16","token_17","token_18","token_19"]

features:
[{"name":"predicted_token","dtype":"int64"},{"name":"token_00","dtype":"int64"},{"name":"token_01","dtype":"int64"},{"name":"token_02","dtype":"int64"},{"name":"token_03","dtype":"int64"},{"name":"token_04","dtype":"int64"},{"name":"token_05","dtype":"int64"},{"name":"token_06","dtype":"int64"},{"name":"token_07","dtype":"int64"},{"name":"token_08","dtype":"int64"},{"name":"token_09","dtype":"int64"},{"name":"token_10","dtype":"int64"},{"name":"token_11","dtype":"int64"},{"name":"token_12","dtype":"int64"},{"name":"token_13","dtype":"int64"},{"name":"token_14","dtype":"int64"},{"name":"token_15","dtype":"int64"},{"name":"token_16","dtype":"int64"},{"name":"token_17","dtype":"int64"},{"name":"token_18","dtype":"int64"},{"name":"token_19","dtype":"int64"}]


hub_id: OgYrKo/sample_dataset
license: []
language: []
config_name: default
column_names: ["text","label"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"ukrayina","1":"svit","2":"politika","3":"groshi"}}}}]


hub_id: confit/librispeech-demo
license: []
language: []
config_name: default
column_names: ["audio","speaker_id","label"]
tags:
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language: []
config_name: fold5
column_names: ["file","audio","emotion","label"]
tags:
["task_categories:audio-classification","size_categories:10K<n<100K","parquet","audio","text","datasets","dask","mlcroissant","region:us","audio","paralinguistics","multiclass","emotion","croissant"]

features:
[{"name":"file","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":48000}}},{"name":"emotion","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"neutral","1":"calm","2":"happy","3":"sad","4":"angry","5":"fearful","6":"disgust","7":"surprised"}}}}]


hub_id: medric49/dolly-rag-pythia-410m
license: []
language: []
config_name: default
column_names: ["instruction","context","response","category","res:airedefined/pythia-410m-dolly-rag"]
features:
[{"name":"instruction","dtype":"string"},{"name":"context","dtype":"string"},{"name":"response","dtype":"string"},{"name":"category","dtype":"string"},{"name":"res:airedefined/pythia-410m-dolly-rag","dtype":"string"}]


hub_id: confit/cremad-demo
license: []
language: []
config_name: default
column_names: ["file","audio","emotion","label"]
tags:
["task_categories:audio-classification","size_categories:1K<n<10K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","audio","paralinguistics","multiclass","emotion","croissant"]

features:
[{"name":"file","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"emotion","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"anger","1":"disgust","2":"fear","3":"happy","4":"neutral","5":"sad"}}}}]


hub_id: shahidul034/KUET-LLM-dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Question","Answer","id"]
features:
[{"name":"Question","dtype":"string"},{"name":"Answer","dtype":"string"},{"name":"id","dtype":"int64"}]


hub_id: airedefined/rm-dolly-rag-pythia-410m
license: []
language: []
config_name: default
column_names: ["instruction","context","response","category","rejected"]
features:
[{"name":"instruction","dtype":"string"},{"name":"context","dtype":"string"},{"name":"response","dtype":"string"},{"name":"category","dtype":"string"},{"name":"rejected","dtype":"string"}]


hub_id: Partha117/swe_bench_formatted
license: []
language: []
config_name: default
column_names:
["repo_name","before_fix_sha","body","report_datetime","issue_id","updated_files","status","repo_url","title","issue_url","pull_url","after_fix_sha","commit_datetime","language"]

features:
[{"name":"repo_name","dtype":"string"},{"name":"before_fix_sha","dtype":"string"},{"name":"body","dtype":"string"},{"name":"report_datetime","dtype":"string"},{"name":"issue_id","dtype":"int64"},{"name":"updated_files","dtype":"string"},{"name":"status","dtype":"string"},{"name":"repo_url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"issue_url","dtype":"string"},{"name":"pull_url","dtype":"string"},{"name":"after_fix_sha","dtype":"string"},{"name":"commit_datetime","dtype":"timestamp[us, tz=UTC]"},{"name":"language","dtype":"string"}]


hub_id: BramVanroy/wikipedia_culturax_dutch
license: []
language: ["nl"]
config_name: 5B
column_names: ["text","url","source"]
tags:
["task_categories:text-generation","task_categories:text2text-generation","language:nl","size_categories:1B<n<10B","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

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


hub_id: confit/wmms-demo
license: []
language: []
config_name: default
column_names: ["audio","species","label"]
tags:
["task_categories:audio-classification","size_categories:1K<n<10K","parquet","audio","text","datasets","dask","mlcroissant","region:us","multiclass","croissant"]

features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"species","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"Atlantic_Spotted_Dolphin","1":"Bearded_Seal","2":"Beluga,_White_Whale","3":"Bottlenose_Dolphin","4":"Bowhead_Whale","5":"Clymene_Dolphin","6":"Common_Dolphin","7":"False_Killer_Whale","8":"Fin,_Finback_Whale","9":"Frasers_Dolphin","10":"Grampus,_Rissos_Dolphin","11":"Harp_Seal","12":"Humpback_Whale","13":"Killer_Whale","14":"Leopard_Seal","15":"Long-Finned_Pilot_Whale","16":"Melon_Headed_Whale","17":"Minke_Whale","18":"Narwhal","19":"Northern_Right_Whale","20":"Pantropical_Spotted_Dolphin","21":"Ross_Seal","22":"Rough-Toothed_Dolphin","23":"Short-Finned_Pacific_Pilot_Whale","24":"Southern_Right_Whale","25":"Sperm_Whale","26":"Spinner_Dolphin","27":"Striped_Dolphin","28":"Walrus","29":"Weddell_Seal","30":"White-beaked_Dolphin","31":"White-sided_Dolphin"}}}}]


hub_id: tollefj/skolegpt-no
license: []
language: []
config_name: default
column_names: ["system_prompt","question","response","id"]
features:
[{"name":"system_prompt","dtype":"string"},{"name":"question","dtype":"string"},{"name":"response","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: davidho27941/steins_gate_1k_v1.1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["instruction","response","input_ids","attention_mask","text"]
features:
[{"name":"instruction","dtype":"string"},{"name":"response","dtype":"string"},{"name":"input_ids","sequence":{"sequence":"int32"}},{"name":"attention_mask","sequence":{"sequence":"int8"}},{"name":"text","dtype":"string"}]


hub_id: scene-genie/sdxl_dataset
license: []
language: []
config_name: default
column_names: ["user","bounding_box","resized_image","caption","gpt4caption","brand_caption"]
features:
[{"name":"user","dtype":"string"},{"name":"bounding_box","struct":[{"name":"image","struct":[{"name":"height","dtype":"int64"},{"name":"width","dtype":"int64"}]},{"name":"predictions","list":[{"name":"class","dtype":"string"},{"name":"class_id","dtype":"int64"},{"name":"confidence","dtype":"float64"},{"name":"detection_id","dtype":"string"},{"name":"height","dtype":"float64"},{"name":"width","dtype":"float64"},{"name":"x","dtype":"float64"},{"name":"y","dtype":"float64"}]},{"name":"processed","dtype":"bool"},{"name":"time","dtype":"float64"}]},{"name":"resized_image","dtype":"image"},{"name":"caption","dtype":"string"},{"name":"gpt4caption","dtype":"string"},{"name":"brand_caption","dtype":"string"}]


hub_id: gsstein/75-percent-human-dataset-opt-mistake
license: []
language: []
config_name: default
column_names: ["id","url","title","summary","text","prompt","generated","raw_summary"]
features:
[{"name":"id","dtype":"string"},{"name":"url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"text","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"generated","dtype":"bool"},{"name":"raw_summary","dtype":"string"}]


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-reward-model-deberta-v3-large-v2-re-preference-64-nsample-2-16_mix_random_seed_1_16


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-reward-model-deberta-v3-large-v2-re-preference-64-nsample-2-16_mix_random_seed_2_16


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-reward-model-deberta-v3-large-v2-re-preference-64-nsample-2-16_mix_random_seed_3_16


tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["conversations"]
hub_id:
shidowake/cosmopedia-japanese-subset_from_aixsatoshi_filtered-sharegpt-format-with-system-prompt_split_0


tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["conversations"]
hub_id:
shidowake/cosmopedia-japanese-subset_from_aixsatoshi_filtered-sharegpt-format-with-system-prompt_split_1


tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["conversations"]
hub_id:
shidowake/cosmopedia-japanese-subset_from_aixsatoshi_filtered-sharegpt-format-with-system-prompt_split_2


tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["conversations"]
hub_id:
shidowake/cosmopedia-japanese-subset_from_aixsatoshi_filtered-sharegpt-format-with-system-prompt_split_3


tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["conversations"]
hub_id:
shidowake/cosmopedia-japanese-subset_from_aixsatoshi_filtered-sharegpt-format-with-system-prompt_split_4


tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["conversations"]
hub_id:
shidowake/cosmopedia-japanese-subset_from_aixsatoshi_filtered-sharegpt-format-with-system-prompt_split_5


license: []
language: []
config_name: default
column_names: ["conversations"]
hub_id:
shidowake/cosmopedia-japanese-subset_from_aixsatoshi_filtered-sharegpt-format-no-system-prompt_split_0


license: []
language: []
config_name: default
column_names: ["conversations"]
hub_id:
shidowake/cosmopedia-japanese-subset_from_aixsatoshi_filtered-sharegpt-format-no-system-prompt_split_1


license: []
language: []
config_name: default
column_names: ["conversations"]
hub_id:
shidowake/cosmopedia-japanese-subset_from_aixsatoshi_filtered-sharegpt-format-no-system-prompt_split_2


license: []
language: []
config_name: default
column_names: ["conversations"]
hub_id:
shidowake/cosmopedia-japanese-subset_from_aixsatoshi_filtered-sharegpt-format-no-system-prompt_split_3


license: []
language: []
config_name: default
column_names: ["conversations"]
hub_id:
shidowake/cosmopedia-japanese-subset_from_aixsatoshi_filtered-sharegpt-format-no-system-prompt_split_4


license: []
language: []
config_name: default
column_names: ["conversations"]
hub_id:
shidowake/cosmopedia-japanese-subset_from_aixsatoshi_filtered-sharegpt-format-no-system-prompt_split_5


license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alfa-deberta-re-pref-64-fil_self_1.4b_bo16_2_64_mix_50_kl_0.1_prm_160m_thr_0.0_seed_2_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alfa-deberta-re-pref-64-fil_self_1.4b_bo16_2_64_mix_50_kl_0.1_prm_160m_thr_0.0_seed_3_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia-1.4b_alpaca_farm_instructions_sft_constant_pa-checkpoint-7500
hub_id:
Mitsuki-Sakamoto/alfa-deberta-re-pref-64-fil_self_1.4b_bo16_2_64_mix_50_kl_0.1_prm_160m_thr_0.0_seed_1_t_1.0


hub_id: adambjorn/quacker
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: transformed
column_names: ["wikipedia_page_title","background","sections"]
features:
[{"name":"wikipedia_page_title","dtype":"string"},{"name":"background","dtype":"string"},{"name":"sections","list":[{"name":"context","dtype":"string"},{"name":"section_title","dtype":"string"}]}]


hub_id: lmms-lab/ai2d
license: []
language: []
config_name: default
column_names: ["question","options","answer","image"]
tags:
["size_categories:100K<n<1M","parquet","image","text","datasets","dask","mlcroissant","arxiv:1603.07396","region:us","croissant"]

features:
[{"name":"question","dtype":"string"},{"name":"options","sequence":"string"},{"name":"answer","dtype":"string"},{"name":"image","dtype":"image"}]


hub_id: DLIlab/webarena_paraphrased_instruction_web_web
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["generated_task","target_web_name","given_task","annotation_id"]
features:
[{"name":"generated_task","sequence":"string"},{"name":"target_web_name","dtype":"string"},{"name":"given_task","dtype":"string"},{"name":"annotation_id","dtype":"string"}]


hub_id: roleplay4fun/aesir-v1.0
license: []
language: []
config_name: default
column_names: ["conversations","bot_name","persona","tags","scenario","demonstration","first_message"]
features:
[{"name":"conversations","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]},{"name":"bot_name","dtype":"string"},{"name":"persona","dtype":"string"},{"name":"tags","sequence":"string"},{"name":"scenario","dtype":"string"},{"name":"demonstration","dtype":"string"},{"name":"first_message","dtype":"string"}]


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

column_names:
["cc_content","id","thumbnail","title","question_content","java","c++","python","javascript","title_slug","tag","level","success_rate","total_submission","total_accepted","question_likes","question_dislikes","question_hints","similar_question_ids"]

features:
[{"name":"cc_content","dtype":"string"},{"name":"id","dtype":"int64"},{"name":"thumbnail","dtype":"string"},{"name":"title","dtype":"string"},{"name":"question_content","dtype":"string"},{"name":"java","dtype":"string"},{"name":"c++","dtype":"string"},{"name":"python","dtype":"string"},{"name":"javascript","dtype":"string"},{"name":"title_slug","dtype":"string"},{"name":"tag","dtype":"string"},{"name":"level","dtype":"string"},{"name":"success_rate","dtype":"float64"},{"name":"total_submission","dtype":"float64"},{"name":"total_accepted","dtype":"float64"},{"name":"question_likes","dtype":"float64"},{"name":"question_dislikes","dtype":"float64"},{"name":"question_hints","dtype":"string"},{"name":"similar_question_ids","dtype":"string"}]


hub_id: isek-ai/danbooru-tags-2024
license: ["cc0-1.0"]
language: []
config_name: default
tags:
["task_categories:text-generation","task_categories:text-classification","license:cc0-1.0","size_categories:1M<n<10M","parquet","tabular","text","datasets","dask","mlcroissant","region:us","danbooru","croissant"]

column_names:
["id","copyright","character","artist","general","meta","rating","score","image_width","image_height","created_at"]

features:
[{"name":"id","dtype":"int64"},{"name":"copyright","dtype":"string"},{"name":"character","dtype":"string"},{"name":"artist","dtype":"string"},{"name":"general","dtype":"string"},{"name":"meta","dtype":"string"},{"name":"rating","dtype":"string"},{"name":"score","dtype":"int64"},{"name":"image_width","dtype":"int64"},{"name":"image_height","dtype":"int64"},{"name":"created_at","dtype":"string"}]


hub_id: ravithejads/ms_marco_hi_mr_te_ta_ur
license: []
language: []
config_name: default
column_names:
["answers","passages","query","query_id","query_type","wellFormedAnswers","query_hi","answers_hi","passage_text_hi","query_mr","passage_text_mr","answers_mr","query_te","passage_text_te","answers_te","query_ta","passage_text_ta","answers_ta","query_ur","passage_text_ur","answers_ur"]

features:
[{"name":"answers","sequence":"string"},{"name":"passages","sequence":[{"name":"is_selected","dtype":"int32"},{"name":"passage_text","dtype":"string"},{"name":"url","dtype":"string"}]},{"name":"query","dtype":"string"},{"name":"query_id","dtype":"int32"},{"name":"query_type","dtype":"string"},{"name":"wellFormedAnswers","sequence":"string"},{"name":"query_hi","dtype":"string"},{"name":"answers_hi","dtype":"string"},{"name":"passage_text_hi","sequence":"string"},{"name":"query_mr","dtype":"string"},{"name":"passage_text_mr","sequence":"string"},{"name":"answers_mr","sequence":"string"},{"name":"query_te","dtype":"string"},{"name":"passage_text_te","sequence":"string"},{"name":"answers_te","sequence":"string"},{"name":"query_ta","dtype":"string"},{"name":"passage_text_ta","sequence":"string"},{"name":"answers_ta","sequence":"string"},{"name":"query_ur","dtype":"string"},{"name":"passage_text_ur","sequence":"string"},{"name":"answers_ur","sequence":"string"}]


hub_id: dariatsisar/sample_dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["text","label"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"science/technology","1":"travel","2":"politics","3":"health"}}}}]


hub_id: lmms-lab/continous-benchmark
license: []
language: []
config_name: wiki_articles
column_names:
["question_id","question","answer","rationale","image","text_content","options","category","datetime"]

features:
[{"name":"question_id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"rationale","dtype":"string"},{"name":"image","dtype":"image"},{"name":"text_content","dtype":"string"},{"name":"options","sequence":"string"},{"name":"category","dtype":"string"},{"name":"datetime","dtype":"string"}]


hub_id: manishiitg/aditi-syn-v2
license: ["apache-2.0"]
language: ["hi"]
config_name: default
column_names: ["messages","type"]
tags:
["language:hi","license:apache-2.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"type","dtype":"string"}]


hub_id: HiTZ/Multilingual-Medical-Corpus
license: ["apache-2.0"]
language: ["en","es","fr","it"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["language:en","language:es","language:fr","language:it","license:apache-2.0","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","arxiv:2404.07613","region:us","medical","croissant"]


hub_id: ravithejads/ms_marco_hi_mr_te_ta_ur_bn
license: []
language: []
config_name: default
column_names:
["answers","passages","query","query_id","query_type","wellFormedAnswers","query_hi","answers_hi","passage_text_hi","query_mr","passage_text_mr","answers_mr","query_te","passage_text_te","answers_te","query_ta","passage_text_ta","answers_ta","query_ur","passage_text_ur","answers_ur","query_bn","passage_text_bn","answers_bn"]

features:
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hub_id: triangulum66/bubble_dataset_2
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["image","annotation"]
features: [{"name":"image","dtype":"image"},{"name":"annotation","dtype":"image"}]
tags:
["task_categories:image-segmentation","language:en","license:mit","size_categories:n<1K","parquet","image","datasets","pandas","mlcroissant","region:us","chemistry","croissant"]


hub_id: data-store/Facebook-Comment-vLabeler
license: []
language: []
config_name: default
column_names: ["id","text","label"]
features:
[{"name":"id","dtype":"string"},{"name":"text","dtype":"string"},{"name":"label","sequence":"string"}]


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_160m_thr_0.0_seed_2_t_1.0


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.0_seed_1_t_0.5


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.0_seed_1_t_0.25


license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.0_seed_1_t_0.75


hub_id: udmurtNLP/zerpal
license: []
language: ["udm"]
config_name: default
column_names: ["document_id","string_id","source","title","date","url","string","file_name","card_badge","genre"]
tags:
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features:
[{"name":"document_id","dtype":"int64"},{"name":"string_id","dtype":"int64"},{"name":"source","dtype":"string"},{"name":"title","dtype":"string"},{"name":"date","dtype":"string"},{"name":"url","dtype":"string"},{"name":"string","dtype":"string"},{"name":"file_name","dtype":"null"},{"name":"card_badge","dtype":"string"},{"name":"genre","dtype":"string"}]


hub_id: HiTZ/multilingual-abstrct
license: ["cc-by-nc-sa-4.0"]
language: ["en","es","fr","it"]
config_name: it
column_names: ["id","tokens","labels_txt","labels"]
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hub_id: HiTZ/Multilingual-BioASQ-6B
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column_names: ["id","type","body","ideal_answer","exact_answer","snippets","documents","triples","concepts"]
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hub_id: rshrott/properties3
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config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
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license: []
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config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
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hub_id: tollefj/NEWTS-no
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config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
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license: []
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config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
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hub_id: rshrott/properties4
license: []
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column_names: ["image","labels"]
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license: []
language: []
config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
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license: []
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config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
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hub_id: Kendamarron/pret-a-porter-instruction-v0.1
license: ["apache-2.0"]
language: ["ja"]
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hub_id: nllg/datikz
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hub_id: TIGER-Lab/MATH-plus
license: ["mit"]
language: ["en"]
config_name: train
column_names: ["instruction","output"]
features: [{"name":"instruction","dtype":"string"},{"name":"output","dtype":"string"}]
tags:
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license: []
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config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1
hub_id:
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hub_id: DreamingBumblebee/ultrachat-100-ko
license: ["mit"]
language: []
config_name: default
column_names: ["prompt","prompt_id","messages"]
tags:
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hub_id: HuggingFaceTB/stanford_prompts_1M_rag
tags: ["region:us"]
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language: []
config_name: default
column_names:
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hub_id: kardosdrur/estonian-valence
license: ["cc"]
language: ["et"]
config_name: default
column_names: ["category","sourceurl","nr","valence","paragraph"]
tags:
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hub_id: manuelbetin/corpus_2.6.0_rafBERT_14.0.0_scoreBERT_14.0.0_summaryBERT_14.0.0_predictions
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hub_id: distilabel-internal-testing/instruction-backtranslation-mini
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["instruction","generation","generation_model","score","reason","scoring_model"]
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hub_id: davidgasquez/country_year_indicators
license: []
language: []
config_name: default
column_names:
["country","year","iso_code","population","gdp","biofuel_cons_change_pct","biofuel_cons_change_twh","biofuel_cons_per_capita","biofuel_consumption","biofuel_elec_per_capita","biofuel_electricity","biofuel_share_elec","biofuel_share_energy","carbon_intensity_elec","coal_cons_change_pct","coal_cons_change_twh","coal_cons_per_capita","coal_consumption","coal_elec_per_capita","coal_electricity","coal_prod_change_pct","coal_prod_change_twh","coal_prod_per_capita","coal_production","coal_share_elec","coal_share_energy","electricity_demand","electricity_generation","electricity_share_energy","energy_cons_change_pct","energy_cons_change_twh","energy_per_capita","energy_per_gdp","fossil_cons_change_pct","fossil_cons_change_twh","fossil_elec_per_capita","fossil_electricity","fossil_energy_per_capita","fossil_fuel_consumption","fossil_share_elec","fossil_share_energy","gas_cons_change_pct","gas_cons_change_twh","gas_consumption","gas_elec_per_capita","gas_electricity","gas_energy_per_capita","gas_prod_change_pct","gas_prod_change_twh","gas_prod_per_capita","gas_production","gas_share_elec","gas_share_energy","greenhouse_gas_emissions","hydro_cons_change_pct","hydro_cons_change_twh","hydro_consumption","hydro_elec_per_capita","hydro_electricity","hydro_energy_per_capita","hydro_share_elec","hydro_share_energy","low_carbon_cons_change_pct","low_carbon_cons_change_twh","low_carbon_consumption","low_carbon_elec_per_capita","low_carbon_electricity","low_carbon_energy_per_capita","low_carbon_share_elec","low_carbon_share_energy","net_elec_imports","net_elec_imports_share_demand","nuclear_cons_change_pct","nuclear_cons_change_twh","nuclear_consumption","nuclear_elec_per_capita","nuclear_electricity","nuclear_energy_per_capita","nuclear_share_elec","nuclear_share_energy","oil_cons_change_pct","oil_cons_change_twh","oil_consumption","oil_elec_per_capita","oil_electricity","oil_energy_per_capita","oil_prod_change_pct","oil_prod_change_twh","oil_prod_per_capita","oil_production","oil_share_elec","oil_share_energy","other_renewable_consumption","other_renewable_electricity","other_renewable_exc_biofuel_electricity","other_renewables_cons_change_pct","other_renewables_cons_change_twh","other_renewables_elec_per_capita","other_renewables_elec_per_capita_exc_biofuel","other_renewables_energy_per_capita","other_renewables_share_elec","other_renewables_share_elec_exc_biofuel","other_renewables_share_energy","per_capita_electricity","primary_energy_consumption","renewables_cons_change_pct","renewables_cons_change_twh","renewables_consumption","renewables_elec_per_capita","renewables_electricity","renewables_energy_per_capita","renewables_share_elec","renewables_share_energy","solar_cons_change_pct","solar_cons_change_twh","solar_consumption","solar_elec_per_capita","solar_electricity","solar_energy_per_capita","solar_share_elec","solar_share_energy","wind_cons_change_pct","wind_cons_change_twh","wind_consumption","wind_elec_per_capita","wind_electricity","wind_energy_per_capita","wind_share_elec","wind_share_energy","country_1","year_1","iso_code_1","population_1","gdp_1","cement_co2","cement_co2_per_capita","co2","co2_growth_abs","co2_growth_prct","co2_including_luc","co2_including_luc_growth_abs","co2_including_luc_growth_prct","co2_including_luc_per_capita","co2_including_luc_per_gdp","co2_including_luc_per_unit_energy","co2_per_capita","co2_per_gdp","co2_per_unit_energy","coal_co2","coal_co2_per_capita","consumption_co2","consumption_co2_per_capita","consumption_co2_per_gdp","cumulative_cement_co2","cumulative_co2","cumulative_co2_including_luc","cumulative_coal_co2","cumulative_flaring_co2","cumulative_gas_co2","cumulative_luc_co2","cumulative_oil_co2","cumulative_other_co2","energy_per_capita_1","energy_per_gdp_1","flaring_co2","flaring_co2_per_capita","gas_co2","gas_co2_per_capita","ghg_excluding_lucf_per_capita","ghg_per_capita","land_use_change_co2","land_use_change_co2_per_capita","methane","methane_per_capita","nitrous_oxide","nitrous_oxide_per_capita","oil_co2","oil_co2_per_capita","other_co2_per_capita","other_industry_co2","primary_energy_consumption_1","share_global_cement_co2","share_global_co2","share_global_co2_including_luc","share_global_coal_co2","share_global_cumulative_cement_co2","share_global_cumulative_co2","share_global_cumulative_co2_including_luc","share_global_cumulative_coal_co2","share_global_cumulative_flaring_co2","share_global_cumulative_gas_co2","share_global_cumulative_luc_co2","share_global_cumulative_oil_co2","share_global_cumulative_other_co2","share_global_flaring_co2","share_global_gas_co2","share_global_luc_co2","share_global_oil_co2","share_global_other_co2","share_of_temperature_change_from_ghg","temperature_change_from_ch4","temperature_change_from_co2","temperature_change_from_ghg","temperature_change_from_n2o","total_ghg","total_ghg_excluding_lucf","trade_co2","trade_co2_share","country_name","country_code","year_2","access_to_clean_fuels_and_technologies_for_cooking_percent_of_population","access_to_clean_fuels_and_technologies_for_cooking_rural_percent_of_rural_population","access_to_clean_fuels_and_technologies_for_cooking_urban_percent_of_urban_population","access_to_electricity_percent_of_population","access_to_electricity_rural_percent_of_rural_population","access_to_electricity_urban_percent_of_urban_population","account_ownership_at_a_financial_institution_or_with_a_mobile_money_service_provider_percent_of_population_ages_15","account_ownership_at_a_financial_institution_or_with_a_mobile_money_service_provider_female_percent_of_population_ages_15","account_ownership_at_a_financial_institution_or_with_a_mobile_money_service_provider_male_percent_of_population_ages_15","account_ownership_at_a_financial_institution_or_with_a_mobile_money_service_provider_older_adults_percent_of_population_ages_25","account_ownership_at_a_financial_institution_or_with_a_mobile_money_service_provider_poorest_40percent_percent_of_population_ages_15","account_ownership_at_a_financial_institution_or_with_a_mobile_money_service_provider_primary_education_or_less_percent_of_population_ages_15","account_ownership_at_a_financial_institution_or_with_a_mobile_money_service_provider_richest_60percent_percent_of_population_ages_15","account_ownership_at_a_financial_institution_or_with_a_mobile_money_service_provider_secondary_education_or_more_percent_of_population_ages_15","account_ownership_at_a_financial_institution_or_with_a_mobile_money_service_provider_young_adults_percent_of_population_ages_15_24","adequacy_of_social_insurance_programs_percent_of_total_welfare_of_beneficiary_households","adequacy_of_social_protection_and_labor_programs_percent_of_total_welfare_of_beneficiary_households","adequacy_of_social_safety_net_programs_percent_of_total_welfare_of_beneficiary_households","adequacy_of_unemployment_benefits_and_almp_percent_of_total_welfare_of_beneficiary_households","adjusted_net_enrollment_rate_primary_percent_of_primary_school_age_children","adjusted_net_enrollment_rate_primary_female_percent_of_primary_school_age_children","adjusted_net_enrollment_rate_primary_male_percent_of_primary_school_age_children","adjusted_net_national_income_annual_percent_growth","adjusted_net_national_income_constant_2015_us","adjusted_net_national_income_current_us","adjusted_net_national_income_per_capita_annual_percent_growth","adjusted_net_national_income_per_capita_constant_2015_us","adjusted_net_national_income_per_capita_current_us","adjusted_net_savings_excluding_particulate_emission_damage_percent_of_gni","adjusted_net_savings_excluding_particulate_emission_damage_current_us","adjusted_net_savings_including_particulate_emission_damage_percent_of_gni","adjusted_net_savings_including_particulate_emission_damage_current_us","adjusted_savings_carbon_dioxide_damage_percent_of_gni","adjusted_savings_carbon_dioxide_damage_current_us","adjusted_savings_consumption_of_fixed_capital_percent_of_gni","adjusted_savings_consumption_of_fixed_capital_current_us","adjusted_savings_education_expenditure_percent_of_gni","adjusted_savings_education_expenditure_current_us","adjusted_savings_energy_depletion_percent_of_gni","adjusted_savings_energy_depletion_current_us","adjusted_savings_gross_savings_percent_of_gni","adjusted_savings_mineral_depletion_percent_of_gni","adjusted_savings_mineral_depletion_current_us","adjusted_savings_natural_resources_depletion_percent_of_gni","adjusted_savings_net_forest_depletion_percent_of_gni","adjusted_savings_net_forest_depletion_current_us","adjusted_savings_net_national_savings_percent_of_gni","adjusted_savings_net_national_savings_current_us","adjusted_savings_particulate_emission_damage_percent_of_gni","adjusted_savings_particulate_emission_damage_current_us","adolescent_fertility_rate_births_per_1000_women_ages_15_19","adolescents_out_of_school_percent_of_lower_secondary_school_age","adolescents_out_of_school_female_percent_of_female_lower_secondary_school_age","adolescents_out_of_school_male_percent_of_male_lower_secondary_school_age","adults_ages_15_and_children_ages_0_14_newly_infected_with_hiv","adults_ages_15_49_newly_infected_with_hiv","age_dependency_ratio_percent_of_working_age_population","age_dependency_ratio_old_percent_of_working_age_population","age_dependency_ratio_young_percent_of_working_age_population","agricultural_irrigated_land_percent_of_total_agricultural_land","agricultural_land_percent_of_land_area","agricultural_land_sq_km","agricultural_machinery_tractors","agricultural_machinery_tractors_per_100_sq_km_of_arable_land","agricultural_methane_emissions_percent_of_total","agricultural_methane_emissions_thousand_metric_tons_of_co2_equivalent","agricultural_nitrous_oxide_emissions_percent_of_total","agricultural_nitrous_oxide_emissions_thousand_metric_tons_of_co2_equivalent","agricultural_raw_materials_exports_percent_of_merchandise_exports","agricultural_raw_materials_imports_percent_of_merchandise_imports","agriculture_forestry_and_fishing_value_added_percent_of_gdp","agriculture_forestry_and_fishing_value_added_annual_percent_growth","agriculture_forestry_and_fishing_value_added_constant_2015_us","agriculture_forestry_and_fishing_value_added_constant_lcu","agriculture_forestry_and_fishing_value_added_current_lcu","agriculture_forestry_and_fishing_value_added_current_us","agriculture_forestry_and_fishing_value_added_per_worker_constant_2015_us","air_transport_freight_million_ton_km","air_transport_passengers_carried","air_transport_registered_carrier_departures_worldwide","alternative_and_nuclear_energy_percent_of_total_energy_use","annual_freshwater_withdrawals_agriculture_percent_of_total_freshwater_withdrawal","annual_freshwater_withdrawals_domestic_percent_of_total_freshwater_withdrawal","annual_freshwater_withdrawals_industry_percent_of_total_freshwater_withdrawal","annual_freshwater_withdrawals_total_percent_of_internal_resources","annual_freshwater_withdrawals_total_billion_cubic_meters","annualized_average_growth_rate_in_per_capita_real_survey_mean_consumption_or_income_bottom_40percent_of_population_percent","annualized_average_growth_rate_in_per_capita_real_survey_mean_consumption_or_income_total_population_percent","antiretroviral_therapy_coverage_percent_of_people_living_with_hiv","antiretroviral_therapy_coverage_for_pmtct_percent_of_pregnant_women_living_with_hiv","aquaculture_production_metric_tons","arable_land_percent_of_land_area","arable_land_hectares_per_person","arable_land_hectares","ari_treatment_percent_of_children_under_5_taken_to_a_health_provider","armed_forces_personnel_percent_of_total_labor_force","armed_forces_personnel_total","arms_exports_sipri_trend_indicator_values","arms_imports_sipri_trend_indicator_values","automated_teller_machines_atms_per_100000_adults","average_precipitation_in_depth_mm_per_year","average_time_to_clear_exports_through_customs_days","average_transaction_cost_of_sending_remittances_from_a_specific_country_percent","average_transaction_cost_of_sending_remittances_to_a_specific_country_percent","average_working_hours_of_children_study_and_work_ages_7_14_hours_per_week","average_working_hours_of_children_study_and_work_female_ages_7_14_hours_per_week","average_working_hours_of_children_study_and_work_male_ages_7_14_hours_per_week","average_working_hours_of_children_working_only_ages_7_14_hours_per_week","average_working_hours_of_children_working_only_female_ages_7_14_hours_per_week","average_working_hours_of_children_working_only_male_ages_7_14_hours_per_week","bank_capital_to_assets_ratio_percent","bank_liquid_reserves_to_bank_assets_ratio_percent","bank_nonperforming_loans_to_total_gross_loans_percent","battle_related_deaths_number_of_people","benefit_incidence_of_social_insurance_programs_to_poorest_quintile_percent_of_total_social_insurance_benefits","benefit_incidence_of_social_protection_and_labor_programs_to_poorest_quintile_percent_of_total_spl_benefits","benefit_incidence_of_social_safety_net_programs_to_poorest_quintile_percent_of_total_safety_net_benefits","benefit_incidence_of_unemployment_benefits_and_almp_to_poorest_quintile_percent_of_total_u_almp_benefits","binding_coverage_all_products_percent","binding_coverage_manufactured_products_percent","binding_coverage_primary_products_percent","bird_species_threatened","birth_rate_crude_per_1000_people","births_attended_by_skilled_health_staff_percent_of_total","borrowers_from_commercial_banks_per_1000_adults","bound_rate_simple_mean_all_products_percent","bound_rate_simple_mean_manufactured_products_percent","bound_rate_simple_mean_primary_products_percent","bribery_incidence_percent_of_firms_experiencing_at_least_one_bribe_payment_request","broad_money_percent_of_gdp","broad_money_current_lcu","broad_money_growth_annual_percent","broad_money_to_total_reserves_ratio","business_extent_of_disclosure_index_0_less_disclosure_to_10_more_disclosure","capture_fisheries_production_metric_tons","cause_of_death_by_communicable_diseases_and_maternal_prenatal_and_nutrition_conditions_percent_of_total","cause_of_death_by_injury_percent_of_total","cause_of_death_by_non_communicable_diseases_percent_of_total","central_government_debt_total_percent_of_gdp","central_government_debt_total_current_lcu","cereal_production_metric_tons","cereal_yield_kg_per_hectare","changes_in_inventories_constant_lcu","changes_in_inventories_current_lcu","changes_in_inventories_current_us","charges_for_the_use_of_intellectual_property_payments_bop_current_us","charges_for_the_use_of_intellectual_property_receipts_bop_current_us","chemicals_percent_of_value_added_in_manufacturing","child_employment_in_agriculture_percent_of_economically_active_children_ages_7_14","child_employment_in_agriculture_female_percent_of_female_economically_active_children_ages_7_14","child_employment_in_agriculture_male_percent_of_male_economically_active_children_ages_7_14","child_employment_in_manufacturing_percent_of_economically_active_children_ages_7_14","child_employment_in_manufacturing_female_percent_of_female_economically_active_children_ages_7_14","child_employment_in_manufacturing_male_percent_of_male_economically_active_children_ages_7_14","child_employment_in_services_percent_of_economically_active_children_ages_7_14","child_employment_in_services_female_percent_of_female_economically_active_children_ages_7_14","child_employment_in_services_male_percent_of_male_economically_active_children_ages_7_14","children_0_14_living_with_hiv","children_ages_0_14_newly_infected_with_hiv","children_in_employment_female_percent_of_female_children_ages_7_14","children_in_employment_male_percent_of_male_children_ages_7_14","children_in_employment_self_employed_percent_of_children_in_employment_ages_7_14","children_in_employment_self_employed_female_percent_of_female_children_in_employment_ages_7_14","children_in_employment_self_employed_male_percent_of_male_children_in_employment_ages_7_14","children_in_employment_study_and_work_percent_of_children_in_employment_ages_7_14","children_in_employment_study_and_work_female_percent_of_female_children_in_employment_ages_7_14","children_in_employment_study_and_work_male_percent_of_male_children_in_employment_ages_7_14","children_in_employment_total_percent_of_children_ages_7_14","children_in_employment_unpaid_family_workers_percent_of_children_in_employment_ages_7_14","children_in_employment_unpaid_family_workers_female_percent_of_female_children_in_employment_ages_7_14","children_in_employment_unpaid_family_workers_male_percent_of_male_children_in_employment_ages_7_14","children_in_employment_wage_workers_percent_of_children_in_employment_ages_7_14","children_in_employment_wage_workers_female_percent_of_female_children_in_employment_ages_7_14","children_in_employment_wage_workers_male_percent_of_male_children_in_employment_ages_7_14","children_in_employment_work_only_percent_of_children_in_employment_ages_7_14","children_in_employment_work_only_female_percent_of_female_children_in_employment_ages_7_14","children_in_employment_work_only_male_percent_of_male_children_in_employment_ages_7_14","children_out_of_school_percent_of_primary_school_age","children_out_of_school_female_percent_of_female_primary_school_age","children_out_of_school_male_percent_of_male_primary_school_age","children_out_of_school_primary","children_out_of_school_primary_female","children_out_of_school_primary_male","children_with_fever_receiving_antimalarial_drugs_percent_of_children_under_age_5_with_fever","claims_on_central_government_annual_growth_as_percent_of_broad_money","claims_on_central_government_etc_percent_gdp","claims_on_other_sectors_of_the_domestic_economy_percent_of_gdp","claims_on_other_sectors_of_the_domestic_economy_annual_growth_as_percent_of_broad_money","claims_on_private_sector_annual_growth_as_percent_of_broad_money","co2_emissions_kg_per_2015_us_of_gdp","co2_emissions_kg_per_2017_ppp_of_gdp","co2_emissions_kg_per_ppp_of_gdp","co2_emissions_kt","co2_emissions_metric_tons_per_capita","co2_emissions_from_electricity_and_heat_production_total_percent_of_total_fuel_combustion","co2_emissions_from_gaseous_fuel_consumption_percent_of_total","co2_emissions_from_gaseous_fuel_consumption_kt","co2_emissions_from_liquid_fuel_consumption_percent_of_total","co2_emissions_from_liquid_fuel_consumption_kt","co2_emissions_from_manufacturing_industries_and_construction_percent_of_total_fuel_combustion","co2_emissions_from_other_sectors_excluding_residential_buildings_and_commercial_and_public_services_percent_of_total_fuel_combustion","co2_emissions_from_residential_buildings_and_commercial_and_public_services_percent_of_total_fuel_combustion","co2_emissions_from_solid_fuel_consumption_percent_of_total","co2_emissions_from_solid_fuel_consumption_kt","co2_emissions_from_transport_percent_of_total_fuel_combustion","co2_intensity_kg_per_kg_of_oil_equivalent_energy_use","coal_rents_percent_of_gdp","combustible_renewables_and_waste_percent_of_total_energy","commercial_bank_branches_per_100000_adults","commercial_banks_and_other_lending_ppg_png_nfl_current_us","commercial_service_exports_current_us","commercial_service_imports_current_us","communications_computer_etc_percent_of_service_exports_bop","communications_computer_etc_percent_of_service_imports_bop","community_health_workers_per_1000_people","compensation_of_employees_percent_of_expense","compensation_of_employees_current_lcu","completeness_of_birth_registration_percent","completeness_of_birth_registration_female_percent","completeness_of_birth_registration_male_percent","completeness_of_birth_registration_rural_percent","completeness_of_birth_registration_urban_percent","completeness_of_death_registration_with_cause_of_death_information_percent","compulsory_education_duration_years","computer_communications_and_other_services_percent_of_commercial_service_exports","computer_communications_and_other_services_percent_of_commercial_service_imports","condom_use_population_ages_15_24_female_percent_of_females_ages_15_24","condom_use_population_ages_15_24_male_percent_of_males_ages_15_24","consumer_price_index_2010_100","consumption_of_iodized_salt_percent_of_households","container_port_traffic_teu_20_foot_equivalent_units","contraceptive_prevalence_any_method_percent_of_married_women_ages_15_49","contraceptive_prevalence_any_modern_method_percent_of_married_women_ages_15_49","contributing_family_workers_female_percent_of_female_employment_modeled_ilo_estimate","contributing_family_workers_male_percent_of_male_employment_modeled_ilo_estimate","contributing_family_workers_total_percent_of_total_employment_modeled_ilo_estimate","control_of_corruption_estimate","control_of_corruption_number_of_sources","control_of_corruption_percentile_rank","control_of_corruption_percentile_rank_lower_bound_of_90percent_confidence_interval","control_of_corruption_percentile_rank_upper_bound_of_90percent_confidence_interval","control_of_corruption_standard_error","cost_of_business_start_up_procedures_percent_of_gni_per_capita","cost_of_business_start_up_procedures_female_percent_of_gni_per_capita","cost_of_business_start_up_procedures_male_percent_of_gni_per_capita","cost_to_export_border_compliance_us","cost_to_export_documentary_compliance_us","cost_to_import_border_compliance_us","cost_to_import_documentary_compliance_us","coverage_of_social_insurance_programs_percent_of_population","coverage_of_social_insurance_programs_in_2nd_quintile_percent_of_population","coverage_of_social_insurance_programs_in_3rd_quintile_percent_of_population","coverage_of_social_insurance_programs_in_4th_quintile_percent_of_population","coverage_of_social_insurance_programs_in_poorest_quintile_percent_of_population","coverage_of_social_insurance_programs_in_richest_quintile_percent_of_population","coverage_of_social_protection_and_labor_programs_percent_of_population","coverage_of_social_safety_net_programs_percent_of_population","coverage_of_social_safety_net_programs_in_2nd_quintile_percent_of_population","coverage_of_social_safety_net_programs_in_3rd_quintile_percent_of_population","coverage_of_social_safety_net_programs_in_4th_quintile_percent_of_population","coverage_of_social_safety_net_programs_in_poorest_quintile_percent_of_population","coverage_of_social_safety_net_programs_in_richest_quintile_percent_of_population","coverage_of_unemployment_benefits_and_almp_percent_of_population","coverage_of_unemployment_benefits_and_almp_in_2nd_quintile_percent_of_population","coverage_of_unemployment_benefits_and_almp_in_3rd_quintile_percent_of_population","coverage_of_unemployment_benefits_and_almp_in_4th_quintile_percent_of_population","coverage_of_unemployment_benefits_and_almp_in_poorest_quintile_percent_of_population","coverage_of_unemployment_benefits_and_almp_in_richest_quintile_percent_of_population","cpia_building_human_resources_rating_1_low_to_6_high","cpia_business_regulatory_environment_rating_1_low_to_6_high","cpia_debt_policy_rating_1_low_to_6_high","cpia_economic_management_cluster_average_1_low_to_6_high","cpia_efficiency_of_revenue_mobilization_rating_1_low_to_6_high","cpia_equity_of_public_resource_use_rating_1_low_to_6_high","cpia_financial_sector_rating_1_low_to_6_high","cpia_fiscal_policy_rating_1_low_to_6_high","cpia_gender_equality_rating_1_low_to_6_high","cpia_macroeconomic_management_rating_1_low_to_6_high","cpia_policies_for_social_inclusion_equity_cluster_average_1_low_to_6_high","cpia_policy_and_institutions_for_environmental_sustainability_rating_1_low_to_6_high","cpia_property_rights_and_rule_based_governance_rating_1_low_to_6_high","cpia_public_sector_management_and_institutions_cluster_average_1_low_to_6_high","cpia_quality_of_budgetary_and_financial_management_rating_1_low_to_6_high","cpia_quality_of_public_administration_rating_1_low_to_6_high","cpia_social_protection_rating_1_low_to_6_high","cpia_structural_policies_cluster_average_1_low_to_6_high","cpia_trade_rating_1_low_to_6_high","cpia_transparency_accountability_and_corruption_in_the_public_sector_rating_1_low_to_6_high","crop_production_index_2014_2016_100","current_account_balance_percent_of_gdp","current_account_balance_bop_current_us","current_education_expenditure_primary_percent_of_total_expenditure_in_primary_public_institutions","current_education_expenditure_secondary_percent_of_total_expenditure_in_secondary_public_institutions","current_education_expenditure_tertiary_percent_of_total_expenditure_in_tertiary_public_institutions","current_education_expenditure_total_percent_of_total_expenditure_in_public_institutions","current_health_expenditure_percent_of_gdp","current_health_expenditure_per_capita_current_us","current_health_expenditure_per_capita_ppp_current_international","customs_and_other_import_duties_percent_of_tax_revenue","customs_and_other_import_duties_current_lcu","death_rate_crude_per_1000_people","debt_service_ppg_and_imf_only_percent_of_exports_of_goods_services_and_primary_income","debt_service_on_external_debt_public_and_publicly_guaranteed_ppg_tds_current_us","debt_service_on_external_debt_total_tds_current_us","dec_alternative_conversion_factor_lcu_per_us","demand_for_family_planning_satisfied_by_modern_methods_percent_of_married_women_with_demand_for_family_planning","deposit_interest_rate_percent","depositors_with_commercial_banks_per_1000_adults","depth_of_credit_information_index_0_low_to_8_high","diabetes_prevalence_percent_of_population_ages_20_to_79","diarrhea_treatment_percent_of_children_under_5_receiving_oral_rehydration_and_continued_feeding","diarrhea_treatment_percent_of_children_under_5_who_received_ors_packet","disaster_risk_reduction_progress_score_1_5_scale_5_best","discrepancy_in_expenditure_estimate_of_gdp_constant_lcu","discrepancy_in_expenditure_estimate_of_gdp_current_lcu","domestic_credit_provided_by_financial_sector_percent_of_gdp","domestic_credit_to_private_sector_percent_of_gdp","domestic_credit_to_private_sector_by_banks_percent_of_gdp","domestic_general_government_health_expenditure_percent_of_current_health_expenditure","domestic_general_government_health_expenditure_percent_of_gdp","domestic_general_government_health_expenditure_percent_of_general_government_expenditure","domestic_general_government_health_expenditure_per_capita_current_us","domestic_general_government_health_expenditure_per_capita_ppp_current_international","domestic_private_health_expenditure_percent_of_current_health_expenditure","domestic_private_health_expenditure_per_capita_current_us","domestic_private_health_expenditure_per_capita_ppp_current_international","droughts_floods_extreme_temperatures_percent_of_population_average_1990_2009","ease_of_doing_business_rank_1_most_business_friendly_regulations","ease_of_doing_business_score_0_lowest_performance_to_100_best_performance","educational_attainment_at_least_bachelor_s_or_equivalent_population_25_female_percent_cumulative","educational_attainment_at_least_bachelor_s_or_equivalent_population_25_male_percent_cumulative","educational_attainment_at_least_bachelor_s_or_equivalent_population_25_total_percent_cumulative","educational_attainment_at_least_completed_lower_secondary_population_25_female_percent_cumulative","educational_attainment_at_least_completed_lower_secondary_population_25_male_percent_cumulative","educational_attainment_at_least_completed_lower_secondary_population_25_total_percent_cumulative","educational_attainment_at_least_completed_post_secondary_population_25_female_percent_cumulative","educational_attainment_at_least_completed_post_secondary_population_25_male_percent_cumulative","educational_attainment_at_least_completed_post_secondary_population_25_total_percent_cumulative","educational_attainment_at_least_completed_primary_population_25_years_female_percent_cumulative","educational_attainment_at_least_completed_primary_population_25_years_male_percent_cumulative","educational_attainment_at_least_completed_primary_population_25_years_total_percent_cumulative","educational_attainment_at_least_completed_short_cycle_tertiary_population_25_female_percent_cumulative","educational_attainment_at_least_completed_short_cycle_tertiary_population_25_male_percent_cumulative","educational_attainment_at_least_completed_short_cycle_tertiary_population_25_total_percent_cumulative","educational_attainment_at_least_completed_upper_secondary_population_25_female_percent_cumulative","educational_attainment_at_least_completed_upper_secondary_population_25_male_percent_cumulative","educational_attainment_at_least_completed_upper_secondary_population_25_total_percent_cumulative","educational_attainment_at_least_master_s_or_equivalent_population_25_female_percent_cumulative","educational_attainment_at_least_master_s_or_equivalent_population_25_male_percent_cumulative","educational_attainment_at_least_master_s_or_equivalent_population_25_total_percent_cumulative","educational_attainment_doctoral_or_equivalent_population_25_female_percent_cumulative","educational_attainment_doctoral_or_equivalent_population_25_male_percent_cumulative","educational_attainment_doctoral_or_equivalent_population_25_total_percent_cumulative","electric_power_consumption_kwh_per_capita","electric_power_transmission_and_distribution_losses_percent_of_output","electricity_production_from_coal_sources_percent_of_total","electricity_production_from_hydroelectric_sources_percent_of_total","electricity_production_from_natural_gas_sources_percent_of_total","electricity_production_from_nuclear_sources_percent_of_total","electricity_production_from_oil_sources_percent_of_total","electricity_production_from_oil_gas_and_coal_sources_percent_of_total","electricity_production_from_renewable_sources_excluding_hydroelectric_percent_of_total","electricity_production_from_renewable_sources_excluding_hydroelectric_kwh","employers_female_percent_of_female_employment_modeled_ilo_estimate","employers_male_percent_of_male_employment_modeled_ilo_estimate","employers_total_percent_of_total_employment_modeled_ilo_estimate","employment_in_agriculture_percent_of_total_employment_modeled_ilo_estimate","employment_in_agriculture_female_percent_of_female_employment_modeled_ilo_estimate","employment_in_agriculture_male_percent_of_male_employment_modeled_ilo_estimate","employment_in_industry_percent_of_total_employment_modeled_ilo_estimate","employment_in_industry_female_percent_of_female_employment_modeled_ilo_estimate","employment_in_industry_male_percent_of_male_employment_modeled_ilo_estimate","employment_in_services_percent_of_total_employment_modeled_ilo_estimate","employment_in_services_female_percent_of_female_employment_modeled_ilo_estimate","employment_in_services_male_percent_of_male_employment_modeled_ilo_estimate","employment_to_population_ratio_15_female_percent_modeled_ilo_estimate","employment_to_population_ratio_15_female_percent_national_estimate","employment_to_population_ratio_15_male_percent_modeled_ilo_estimate","employment_to_population_ratio_15_male_percent_national_estimate","employment_to_population_ratio_15_total_percent_modeled_ilo_estimate","employment_to_population_ratio_15_total_percent_national_estimate","employment_to_population_ratio_ages_15_24_female_percent_modeled_ilo_estimate","employment_to_population_ratio_ages_15_24_female_percent_national_estimate","employment_to_population_ratio_ages_15_24_male_percent_modeled_ilo_estimate","employment_to_population_ratio_ages_15_24_male_percent_national_estimate","employment_to_population_ratio_ages_15_24_total_percent_modeled_ilo_estimate","employment_to_population_ratio_ages_15_24_total_percent_national_estimate","energy_imports_net_percent_of_energy_use","energy_intensity_level_of_primary_energy_mj_2017_ppp_gdp","energy_related_methane_emissions_percent_of_total","energy_use_kg_of_oil_equivalent_per_capita","energy_use_kg_of_oil_equivalent_per_1000_gdp_constant_2017_ppp","exclusive_breastfeeding_percent_of_children_under_6_months","expenditure_on_primary_education_percent_of_government_expenditure_on_education","expenditure_on_secondary_education_percent_of_government_expenditure_on_education","expenditure_on_tertiary_education_percent_of_government_expenditure_on_education","expense_percent_of_gdp","expense_current_lcu","export_unit_value_index_2015_100","export_value_index_2015_100","export_volume_index_2015_100","exports_as_a_capacity_to_import_constant_lcu","exports_of_goods_and_services_percent_of_gdp","exports_of_goods_and_services_annual_percent_growth","exports_of_goods_and_services_bop_current_us","exports_of_goods_and_services_constant_2015_us","exports_of_goods_and_services_constant_lcu","exports_of_goods_and_services_current_lcu","exports_of_goods_and_services_current_us","exports_of_goods_services_and_primary_income_bop_current_us","external_balance_on_goods_and_services_percent_of_gdp","external_balance_on_goods_and_services_constant_lcu","external_balance_on_goods_and_services_current_lcu","external_balance_on_goods_and_services_current_us","external_debt_stocks_percent_of_gni","external_debt_stocks_long_term_dod_current_us","external_debt_stocks_private_nonguaranteed_png_dod_current_us","external_debt_stocks_public_and_publicly_guaranteed_ppg_dod_current_us","external_debt_stocks_short_term_dod_current_us","external_debt_stocks_total_dod_current_us","external_health_expenditure_percent_of_current_health_expenditure","external_health_expenditure_per_capita_current_us","external_health_expenditure_per_capita_ppp_current_international","female_genital_mutilation_prevalence_percent","female_headed_households_percent_of_households_with_a_female_head","female_primary_school_age_children_out_of_school_percent","female_pupils_below_minimum_reading_proficiency_at_end_of_primary_percent_low_gaml_threshold","female_share_of_employment_in_senior_and_middle_management_percent","fertility_rate_total_births_per_woman","fertilizer_consumption_percent_of_fertilizer_production","fertilizer_consumption_kilograms_per_hectare_of_arable_land","final_consumption_expenditure_percent_of_gdp","final_consumption_expenditure_annual_percent_growth","final_consumption_expenditure_constant_2015_us","final_consumption_expenditure_constant_lcu","final_consumption_expenditure_current_lcu","final_consumption_expenditure_current_us","financial_intermediary_services_indirectly_measured_fisim_constant_lcu","financial_intermediary_services_indirectly_measured_fisim_current_lcu","firms_competing_against_unregistered_firms_percent_of_firms","firms_expected_to_give_gifts_in_meetings_with_tax_officials_percent_of_firms","firms_experiencing_electrical_outages_percent_of_firms","firms_experiencing_losses_due_to_theft_and_vandalism_percent_of_firms","firms_formally_registered_when_operations_started_percent_of_firms","firms_offering_formal_training_percent_of_firms","firms_that_do_not_report_all_sales_for_tax_purposes_percent_of_firms","firms_that_spend_on_r_d_percent_of_firms","firms_using_banks_to_finance_investment_percent_of_firms","firms_using_banks_to_finance_working_capital_percent_of_firms","firms_visited_or_required_meetings_with_tax_officials_percent_of_firms","firms_with_female_participation_in_ownership_percent_of_firms","firms_with_female_top_manager_percent_of_firms","fish_species_threatened","fixed_broadband_subscriptions","fixed_broadband_subscriptions_per_100_people","fixed_telephone_subscriptions","fixed_telephone_subscriptions_per_100_people","food_exports_percent_of_merchandise_exports","food_imports_percent_of_merchandise_imports","food_production_index_2014_2016_100","food_beverages_and_tobacco_percent_of_value_added_in_manufacturing","foreign_direct_investment_net_bop_current_us","foreign_direct_investment_net_inflows_percent_of_gdp","foreign_direct_investment_net_inflows_bop_current_us","foreign_direct_investment_net_outflows_percent_of_gdp","foreign_direct_investment_net_outflows_bop_current_us","forest_area_percent_of_land_area","forest_area_sq_km","forest_rents_percent_of_gdp","fossil_fuel_energy_consumption_percent_of_total","fuel_exports_percent_of_merchandise_exports","fuel_imports_percent_of_merchandise_imports","gdp_constant_2015_us","gdp_constant_lcu","gdp_current_lcu","gdp_current_us","gdp_deflator_base_year_varies_by_country","gdp_deflator_linked_series_base_year_varies_by_country","gdp_growth_annual_percent","gdp_per_capita_constant_2015_us","gdp_per_capita_constant_lcu","gdp_per_capita_current_lcu","gdp_per_capita_current_us","gdp_per_capita_growth_annual_percent","gdp_per_capita_ppp_constant_2017_international","gdp_per_capita_ppp_current_international","gdp_per_person_employed_constant_2017_ppp","gdp_per_unit_of_energy_use_constant_2017_ppp_per_kg_of_oil_equivalent","gdp_per_unit_of_energy_use_ppp_per_kg_of_oil_equivalent","gdp_ppp_constant_2017_international","gdp_ppp_current_international","gdp_linked_series_current_lcu","general_government_final_consumption_expenditure_percent_of_gdp","general_government_final_consumption_expenditure_annual_percent_growth","general_government_final_consumption_expenditure_constant_2015_us","general_government_final_consumption_expenditure_constant_lcu","general_government_final_consumption_expenditure_current_lcu","general_government_final_consumption_expenditure_current_us","ghg_net_emissions_removals_by_lucf_mt_of_co2_equivalent","gini_index","gni_constant_2015_us","gni_constant_lcu","gni_current_lcu","gni_current_us","gni_growth_annual_percent","gni_per_capita_constant_2015_us","gni_per_capita_constant_lcu","gni_per_capita_current_lcu","gni_per_capita_growth_annual_percent","gni_per_capita_atlas_method_current_us","gni_per_capita_ppp_constant_2017_international","gni_per_capita_ppp_current_international","gni_atlas_method_current_us","gni_ppp_constant_2017_international","gni_ppp_current_international","gni_linked_series_current_lcu","goods_and_services_expense_percent_of_expense","goods_and_services_expense_current_lcu","goods_exports_bop_current_us","goods_imports_bop_current_us","government_effectiveness_estimate","government_effectiveness_number_of_sources","government_effectiveness_percentile_rank","government_effectiveness_percentile_rank_lower_bound_of_90percent_confidence_interval","government_effectiveness_percentile_rank_upper_bound_of_90percent_confidence_interval","government_effectiveness_standard_error","government_expenditure_on_education_total_percent_of_gdp","government_expenditure_on_education_total_percent_of_government_expenditure","government_expenditure_per_student_primary_percent_of_gdp_per_capita","government_expenditure_per_student_secondary_percent_of_gdp_per_capita","government_expenditure_per_student_tertiary_percent_of_gdp_per_capita","grants_and_other_revenue_percent_of_revenue","grants_and_other_revenue_current_lcu","grants_excluding_technical_cooperation_bop_current_us","gross_capital_formation_percent_of_gdp","gross_capital_formation_annual_percent_growth","gross_capital_formation_constant_2015_us","gross_capital_formation_constant_lcu","gross_capital_formation_current_lcu","gross_capital_formation_current_us","gross_domestic_income_constant_lcu","gross_domestic_savings_percent_of_gdp","gross_domestic_savings_current_lcu","gross_domestic_savings_current_us","gross_fixed_capital_formation_percent_of_gdp","gross_fixed_capital_formation_annual_percent_growth","gross_fixed_capital_formation_constant_2015_us","gross_fixed_capital_formation_constant_lcu","gross_fixed_capital_formation_current_lcu","gross_fixed_capital_formation_current_us","gross_fixed_capital_formation_private_sector_percent_of_gdp","gross_fixed_capital_formation_private_sector_current_lcu","gross_intake_ratio_in_first_grade_of_primary_education_female_percent_of_relevant_age_group","gross_intake_ratio_in_first_grade_of_primary_education_male_percent_of_relevant_age_group","gross_intake_ratio_in_first_grade_of_primary_education_total_percent_of_relevant_age_group","gross_national_expenditure_percent_of_gdp","gross_national_expenditure_constant_2015_us","gross_national_expenditure_constant_lcu","gross_national_expenditure_current_lcu","gross_national_expenditure_current_us","gross_national_expenditure_deflator_base_year_varies_by_country","gross_savings_percent_of_gdp","gross_savings_percent_of_gni","gross_savings_current_lcu","gross_savings_current_us","gross_value_added_at_basic_prices_gva_constant_2015_us","gross_value_added_at_basic_prices_gva_constant_lcu","gross_value_added_at_basic_prices_gva_current_lcu","gross_value_added_at_basic_prices_gva_current_us","hfc_gas_emissions_thousand_metric_tons_of_co2_equivalent","high_technology_exports_percent_of_manufactured_exports","high_technology_exports_current_us","hospital_beds_per_1000_people","households_and_npishs_final_consumption_expenditure_percent_of_gdp","households_and_npishs_final_consumption_expenditure_annual_percent_growth","households_and_npishs_final_consumption_expenditure_constant_2015_us","households_and_npishs_final_consumption_expenditure_constant_lcu","households_and_npishs_final_consumption_expenditure_current_lcu","households_and_npishs_final_consumption_expenditure_current_us","households_and_npishs_final_consumption_expenditure_per_capita_constant_2015_us","households_and_npishs_final_consumption_expenditure_per_capita_growth_annual_percent","households_and_npishs_final_consumption_expenditure_ppp_constant_2017_international","households_and_npishs_final_consumption_expenditure_ppp_current_international","households_and_npishs_final_consumption_expenditure_linked_series_current_lcu","human_capital_index_hci_scale_0_1","human_capital_index_hci_female_scale_0_1","human_capital_index_hci_female_lower_bound_scale_0_1","human_capital_index_hci_female_upper_bound_scale_0_1","human_capital_index_hci_lower_bound_scale_0_1","human_capital_index_hci_male_scale_0_1","human_capital_index_hci_male_lower_bound_scale_0_1","human_capital_index_hci_male_upper_bound_scale_0_1","human_capital_index_hci_upper_bound_scale_0_1","ibrd_loans_and_ida_credits_dod_current_us","ict_goods_exports_percent_of_total_goods_exports","ict_goods_imports_percent_total_goods_imports","ict_service_exports_percent_of_service_exports_bop","ict_service_exports_bop_current_us","ida_resource_allocation_index_1_low_to_6_high","ifc_private_nonguaranteed_nfl_us","imf_repurchases_and_charges_tds_current_us","immunization_dpt_percent_of_children_ages_12_23_months","immunization_hepb3_percent_of_one_year_old_children","immunization_measles_percent_of_children_ages_12_23_months","import_unit_value_index_2015_100","import_value_index_2015_100","import_volume_index_2015_100","imports_of_goods_and_services_percent_of_gdp","imports_of_goods_and_services_annual_percent_growth","imports_of_goods_and_services_bop_current_us","imports_of_goods_and_services_constant_2015_us","imports_of_goods_and_services_constant_lcu","imports_of_goods_and_services_current_lcu","imports_of_goods_and_services_current_us","imports_of_goods_services_and_primary_income_bop_current_us","incidence_of_hiv_ages_15_24_per_1000_uninfected_population_ages_15_24","incidence_of_hiv_ages_15_49_per_1000_uninfected_population_ages_15_49","incidence_of_hiv_all_per_1000_uninfected_population","incidence_of_malaria_per_1000_population_at_risk","incidence_of_tuberculosis_per_100000_people","income_share_held_by_fourth_20percent","income_share_held_by_highest_10percent","income_share_held_by_highest_20percent","income_share_held_by_lowest_10percent","income_share_held_by_lowest_20percent","income_share_held_by_second_20percent","income_share_held_by_third_20percent","individuals_using_the_internet_percent_of_population","industrial_design_applications_nonresident_by_count","industrial_design_applications_resident_by_count","industry_including_construction_value_added_percent_of_gdp","industry_including_construction_value_added_annual_percent_growth","industry_including_construction_value_added_constant_2015_us","industry_including_construction_value_added_constant_lcu","industry_including_construction_value_added_current_lcu","industry_including_construction_value_added_current_us","industry_including_construction_value_added_per_worker_constant_2015_us","inflation_consumer_prices_annual_percent","inflation_gdp_deflator_annual_percent","inflation_gdp_deflator_linked_series_annual_percent","informal_payments_to_public_officials_percent_of_firms","insurance_and_financial_services_percent_of_commercial_service_exports","insurance_and_financial_services_percent_of_commercial_service_imports","insurance_and_financial_services_percent_of_service_exports_bop","insurance_and_financial_services_percent_of_service_imports_bop","intentional_homicides_per_100000_people","intentional_homicides_female_per_100000_female","intentional_homicides_male_per_100000_male","interest_payments_percent_of_expense","interest_payments_percent_of_revenue","interest_payments_current_lcu","interest_rate_spread_lending_rate_minus_deposit_rate_percent","internally_displaced_persons_new_displacement_associated_with_conflict_and_violence_number_of_cases","internally_displaced_persons_new_displacement_associated_with_disasters_number_of_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iture_percent_of_general_government_expenditure","military_expenditure_current_lcu","military_expenditure_current_usd","mineral_rents_percent_of_gdp","mobile_cellular_subscriptions","mobile_cellular_subscriptions_per_100_people","monetary_sector_credit_to_private_sector_percent_gdp","mortality_caused_by_road_traffic_injury_per_100000_population","mortality_from_cvd_cancer_diabetes_or_crd_between_exact_ages_30_and_70_percent","mortality_from_cvd_cancer_diabetes_or_crd_between_exact_ages_30_and_70_female_percent","mortality_from_cvd_cancer_diabetes_or_crd_between_exact_ages_30_and_70_male_percent","mortality_rate_attributed_to_household_and_ambient_air_pollution_age_standardized_per_100000_population","mortality_rate_attributed_to_household_and_ambient_air_pollution_age_standardized_female_per_100000_female_population","mortality_rate_attributed_to_household_and_ambient_air_pollution_age_standardized_male_per_100000_male_population","mortality_rate_attributed_to_unintentional_poisoning_per_100000_population","mortality_rate_attributed_to_unintentional_poisoning_female_per_100000_female_population","mortality_rate_attributed_to_unintentional_poisoning_male_per_100000_male_population","mortality_rate_attributed_to_unsafe_water_unsafe_sanitation_and_lack_of_hygiene_per_100000_population","mortality_rate_adult_female_per_1000_female_adults","mortality_rate_adult_male_per_1000_male_adults","mortality_rate_infant_per_1000_live_births","mortality_rate_infant_female_per_1000_live_births","mortality_rate_infant_male_per_1000_live_births","mortality_rate_neonatal_per_1000_live_births","mortality_rate_under_5_per_1000_live_births","mortality_rate_under_5_female_per_1000_live_births","mortality_rate_under_5_male_per_1000_live_births","multidimensional_poverty_headcount_ratio_undp_percent_of_population","multidimensional_poverty_headcount_ratio_world_bank_percent_of_population","multilateral_debt_service_percent_of_public_and_publicly_guaranteed_debt_service","multilateral_debt_service_tds_current_us","natural_gas_rents_percent_of_gdp","net_acquisition_of_financial_assets_percent_of_gdp","net_acquisition_of_financial_assets_current_lcu","net_barter_terms_of_trade_index_2015_100","net_bilateral_aid_flows_from_dac_donors_australia_current_us","net_bilateral_aid_flows_from_dac_donors_austria_current_us","net_bilateral_aid_flows_from_dac_donors_belgium_current_us","net_bilateral_aid_flows_from_dac_donors_canada_current_us","net_bilateral_aid_flows_from_dac_donors_czechia_current_us","net_bilateral_aid_flows_from_dac_donors_denmark_current_us","net_bilateral_aid_flows_from_dac_donors_estonia_current_us","net_bilateral_aid_flows_from_dac_donors_european_union_institutions_current_us","net_bilateral_aid_flows_from_dac_donors_finland_current_us","net_bilateral_aid_flows_from_dac_donors_france_current_us","net_bilateral_aid_flows_from_dac_donors_germany_current_us","net_bilateral_aid_flows_from_dac_donors_greece_current_us","net_bilateral_aid_flows_from_dac_donors_hungary_current_us","net_bilateral_aid_flows_from_dac_donors_iceland_current_us","net_bilateral_aid_flows_from_dac_donors_ireland_current_us","net_bilateral_aid_flows_from_dac_donors_italy_current_us","net_bilateral_aid_flows_from_dac_donors_japan_current_us","net_bilateral_aid_flows_from_dac_donors_korea_rep_current_us","net_bilateral_aid_flows_from_dac_donors_lithuania_current_us","net_bilateral_aid_flows_from_dac_donors_luxembourg_current_us","net_bilateral_aid_flows_from_dac_donors_netherlands_current_us","net_bilateral_aid_flows_from_dac_donors_new_zealand_current_us","net_bilateral_aid_flows_from_dac_donors_norway_current_us","net_bilateral_aid_flows_from_dac_donors_poland_current_us","net_bilateral_aid_flows_from_dac_donors_portugal_current_us","net_bilateral_aid_flows_from_dac_donors_slovak_republic_current_us","net_bilateral_aid_flows_from_dac_donors_slovenia_current_us","net_bilateral_aid_flows_from_dac_donors_spain_current_us","net_bilateral_aid_flows_from_dac_donors_sweden_current_us","net_bilateral_aid_flows_from_dac_donors_switzerland_current_us","net_bilateral_aid_flows_from_dac_donors_total_current_us","net_bilateral_aid_flows_from_dac_donors_united_kingdom_current_us","net_bilateral_aid_flows_from_dac_donors_united_states_current_us","net_capital_account_bop_current_us","net_domestic_credit_current_lcu","net_errors_and_omissions_bop_current_us","net_financial_account_bop_current_us","net_financial_flows_bilateral_nfl_current_us","net_financial_flows_ibrd_nfl_current_us","net_financial_flows_ida_nfl_current_us","net_financial_flows_imf_concessional_nfl_current_us","net_financial_flows_imf_nonconcessional_nfl_current_us","net_financial_flows_multilateral_nfl_current_us","net_financial_flows_others_nfl_current_us","net_financial_flows_rdb_concessional_nfl_current_us","net_financial_flows_rdb_nonconcessional_nfl_current_us","net_flows_on_external_debt_private_nonguaranteed_png_nfl_current_us","net_foreign_assets_current_lcu","net_incurrence_of_liabilities_to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_age_students_primary_percent_of_enrollment","over_age_students_primary_female_percent_of_female_enrollment","over_age_students_primary_male_percent_of_male_enrollment","part_time_employment_female_percent_of_total_female_employment","part_time_employment_male_percent_of_total_male_employment","part_time_employment_total_percent_of_total_employment","patent_applications_nonresidents","patent_applications_residents","people_practicing_open_defecation_percent_of_population","people_practicing_open_defecation_rural_percent_of_rural_population","people_practicing_open_defecation_urban_percent_of_urban_population","people_using_at_least_basic_drinking_water_services_percent_of_population","people_using_at_least_basic_drinking_water_services_rural_percent_of_rural_population","people_using_at_least_basic_drinking_water_services_urban_percent_of_urban_population","people_using_at_least_basic_sanitation_services_percent_of_population","people_using_at_least_basic_sanitation_services_rural_percent_of_rural_population","people_using_at_least_basic_sanitation_services_urban_percent_of_urban_population","people_using_safely_managed_drinking_water_services_percent_of_population","people_using_safely_managed_drinking_water_services_rural_percent_of_rural_population","people_using_safely_managed_drinking_water_services_urban_percent_of_urban_population","people_using_safely_managed_sanitation_services_percent_of_population","people_using_safely_managed_sanitation_services_rural_percent_of_rural_population","people_using_safely_managed_sanitation_services_urban_percent_of_urban_population","people_with_basic_handwashing_facilities_including_soap_and_water_percent_of_population","people_with_basic_handwashing_facilities_including_soap_and_water_rural_percent_of_rural_population","people_with_basic_handwashing_facilities_including_soap_and_water_urban_percent_of_urban_population","periodicity_and_timeliness_assessment_of_statistical_capacity_scale_0_100","permanent_cropland_percent_of_land_area","persistence_to_grade_5_female_percent_of_cohort","persistence_to_grade_5_male_percent_of_cohort","persistence_to_grade_5_total_percent_of_cohort","persistence_to_last_grade_of_primary_female_percent_of_cohort","persistence_to_last_grade_of_primary_male_percent_of_cohort","persistence_to_last_grade_of_primary_total_percent_of_cohort","personal_remittances_paid_current_us","personal_remittances_received_percent_of_gdp","personal_remittances_received_current_us","personal_transfers_receipts_bop_current_us","pfc_gas_emissions_thousand_metric_tons_of_co2_equivalent","physicians_per_1000_people","plant_species_higher_threatened","pm2_5_air_pollution_mean_annual_exposure_micrograms_per_cubic_meter","pm2_5_air_pollution_population_exposed_to_levels_exceeding_who_guideline_value_percent_of_total","pm2_5_pollution_population_exposed_to_levels_exceeding_who_interim_target_1_value_percent_of_total","pm2_5_pollution_population_exposed_to_levels_exceeding_who_interim_target_2_value_percent_of_total","pm2_5_pollution_population_exposed_to_levels_exceeding_who_interim_target_3_value_percent_of_total","png_bonds_nfl_current_us","png_commercial_banks_and_other_creditors_nfl_current_us","political_stability_and_absence_of_violence_terrorism_estimate","political_stability_and_absence_of_violence_terrorism_number_of_sources","political_stability_and_absence_of_violence_terrorism_percentile_rank","political_stability_and_absence_of_violence_terrorism_percentile_rank_lower_bound_of_90percent_confidence_interval","political_stability_and_absence_of_violence_terrorism_percentile_rank_upper_bound_of_90percent_confidence_interval","political_stability_and_absence_of_violence_terrorism_standard_error","population_ages_00_04_female_percent_of_female_population","population_ages_00_04_male_percent_of_male_population","population_ages_0_14_percent_of_total_population","population_ages_0_14_female","population_ages_0_14_female_percent_of_female_population","population_ages_0_14_male","population_ages_0_14_male_percent_of_male_population","population_ages_0_14_total","population_ages_05_09_female_percent_of_female_population","population_ages_05_09_male_percent_of_male_population","population_ages_10_14_female_percent_of_female_population","population_ages_10_14_male_percent_of_male_population","population_ages_15_19_female_percent_of_female_population","population_ages_15_19_male_percent_of_male_population","population_ages_15_64_percent_of_total_population","population_ages_15_64_female","population_ages_15_64_female_percent_of_female_population","population_ages_15_64_male","population_ages_15_64_male_percent_of_male_population","population_ages_15_64_total","population_ages_20_24_female_percent_of_female_population","population_ages_20_24_male_percent_of_male_population","population_ages_25_29_female_percent_of_female_population","population_ages_25_29_male_percent_of_male_population","population_ages_30_34_female_percent_of_female_population","population_ages_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rank","voice_and_accountability_percentile_rank_lower_bound_of_90percent_confidence_interval","voice_and_accountability_percentile_rank_upper_bound_of_90percent_confidence_interval","voice_and_accountability_standard_error","vulnerable_employment_female_percent_of_female_employment_modeled_ilo_estimate","vulnerable_employment_male_percent_of_male_employment_modeled_ilo_estimate","vulnerable_employment_total_percent_of_total_employment_modeled_ilo_estimate","wage_and_salaried_workers_female_percent_of_female_employment_modeled_ilo_estimate","wage_and_salaried_workers_male_percent_of_male_employment_modeled_ilo_estimate","wage_and_salaried_workers_total_percent_of_total_employment_modeled_ilo_estimate","wanted_fertility_rate_births_per_woman","water_productivity_total_constant_2015_us_gdp_per_cubic_meter_of_total_freshwater_withdrawal","wholesale_price_index_2010_100","women_business_and_the_law_index_score_scale_1_100","women_making_their_own_informed_decisions_regarding_sexual_relations_contraceptive_use_and_reproductive_health_care_percent_of_women_age_15_49","women_participating_in_the_three_decisions_own_health_care_major_household_purchases_and_visiting_family_percent_of_women_age_15_49","women_who_believe_a_husband_is_justified_in_beating_his_wife_any_of_five_reasons_percent","women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_argues_with_him_percent","women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_burns_the_food_percent","women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_goes_out_without_telling_him_percent","women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_neglects_the_children_percent","women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_refuses_sex_with_him_percent","women_who_were_first_married_by_age_15_percent_of_women_ages_20_24","women_who_were_first_married_by_age_18_percent_of_women_ages_20_24","women_s_share_of_population_ages_15_living_with_hiv_percent","young_people_ages_15_24_newly_infected_with_hiv"]

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