text stringlengths 15 129 |
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dataset:Jotschi/german-news-titles [33, 26] |
dataset:vicgalle/worldsim-claude-opus [33] |
dataset:parler-tts/mls-eng-10k-tags_tagged_10k_generated [4, 38, 36] |
dataset:avaliev/umls [22] |
dataset:NilanE/ParallelFiction-Ja_En-100k [43] |
dataset:kreimben/leetcode_with_youtube_captions [33, 32] |
dataset:isek-ai/danbooru-tags-2024 [33, 32] |
dataset:TIGER-Lab/MATH-plus [33] |
dataset:yukiarimo/tamer-novel [33, 40, 26] |
dataset:ymoslem/IWSLT2023-GA-EN [4, 38, 43] |
dataset:ai4privacy/pii-masking-300k [32, 42, 27, 22, 49, 26, 7, 33, 40, 43, 8, 29, 31, 28, 34] |
dataset:KisanVaani/agriculture-qa-english-only [22] |
dataset:daqc/constitucion-politica-del-peru-1993-qa [26, 33, 22] |
dataset:issai/kazqad [22] |
dataset:somosnlp/constitucion-politica-del-peru-1993-qa [26, 33, 22] |
dataset:projecte-aina/RAG_Multilingual [22, 33] |
dataset:har1/MTS_Dialogue-Clinical_Note [40, 7, 26] |
dataset:reshabhs/SPML_Chatbot_Prompt_Injection [32] |
dataset:lavita/AlpaCare-MedInstruct-52k [33] |
dataset:markush1/LLM-Jailbreak-Classifier [32] |
dataset:ProGamerGov/synthetic-dataset-1m-dalle3-high-quality-captions [37, 10, 16, 13] |
dataset:sujet-ai/Sujet-Finance-Instruct-177k [33, 40, 22] |
dataset:cnmoro/GPT4-500k-Augmented-PTBR-Clean [33] |
dataset:capleaf/viVoice [38] |
dataset:bookbot/OpenBible_Swahili [4, 38] |
dataset:Xiao215/pixiv-image-with-caption [16, 37] |
dataset:mediabiasgroup/BABE [32] |
dataset:amithm3/shrutilipi [4] |
dataset:Babelscape/cner [42] |
dataset:sayeed99/fashion_segmentation [12] |
dataset:turing-motors/LLaVA-v1.5-Instruct-620K-JA [47, 22] |
dataset:Wenetspeech4TTS/WenetSpeech4TTS [38] |
dataset:rootsautomation/ScreenSpot [33, 16] |
dataset:nasa-impact/nasa-smd-IR-benchmark [7] |
dataset:korotkov/glaive-function-calling-v2-ru-parsed [33] |
dataset:KaifengGGG/WenYanWen_English_Parallel [43, 22] |
dataset:microsoft/MeetingBank-QA-Summary [22, 26] |
dataset:visheratin/realworldqa [47] |
dataset:taidng/UIT-ViQuAD2.0 [22] |
dataset:BothBosu/Scammer-Conversation [32] |
dataset:lighteval/MATH-Hard [40] |
dataset:FredZhang7/anime-prompts-180K [33] |
dataset:Squish42/bluemoon-fandom-1-1-rp-cleaned [33] |
dataset:CyberHarem/momoi_bluearchive [37] |
dataset:CyberHarem/raiden_shogun_genshin [37] |
dataset:CyberHarem/kamisato_ayaka_genshin [37] |
dataset:CyberHarem/mobius_honkai3 [37] |
dataset:CyberHarem/chtholly_sukasuka [37] |
dataset:chargoddard/rpguild [33] |
dataset:p1atdev/open2ch [33, 40] |
dataset:igorktech/anekdots [33] |
dataset:litagin/moe-speech [38, 3, 1] |
dataset:KBlueLeaf/danbooru2023-webp-4Mpixel [10, 50, 37] |
dataset:nenekochan/yoruno-vn [33] |
dataset:cagliostrolab/860k-ordered-tags [37] |
dataset:ResplendentAI/NSFW_RP_Format_DPO [33] |
dataset:Locutusque/hercules-v4.5 [33, 22] |
dataset:sealuzh/app_reviews [32] |
dataset:hadyelsahar/ar_res_reviews [32] |
dataset:facebook/babi_qa [22] |
dataset:Helsinki-NLP/bible_para [43] |
dataset:TheBritishLibrary/blbooksgenre [32, 33, 8] |
dataset:google/code_x_glue_cc_code_to_code_trans [43] |
dataset:eriktks/conll2002 [42] |
dataset:ZihanWangKi/conllpp [42] |
dataset:rexarski/eli5_category [40] |
dataset:emotone-ar-cicling2017/emotone_ar [32] |
dataset:jcblaise/fake_news_filipino [32] |
dataset:zalando-datasets/fashion_mnist [10] |
dataset:community-datasets/gnad10 [32] |
dataset:fajrikoto/id_liputan6 [26] |
dataset:IWSLT/iwslt2017 [43] |
dataset:kakaobrain/kor_nlu [32] |
dataset:peluz/lener_br [42] |
dataset:reciTAL/mlsum [26, 43, 32] |
dataset:microsoft/msr_sqa [22] |
dataset:alexfabbri/multi_news [26] |
dataset:nwu-ctext/nchlt [42] |
dataset:ltgoslo/norne [42] |
dataset:coltekin/offenseval2020_tr [32] |
dataset:openslr/openslr [4] |
dataset:Helsinki-NLP/opus_paracrawl [43] |
dataset:allenai/quartz [22] |
dataset:RussianNLP/russian_super_glue [32, 22, 49, 33] |
dataset:allenai/scicite [32] |
dataset:RobZamp/sick [32] |
dataset:McGill-NLP/stereoset [32] |
dataset:timit-asr/timit_asr [4] |
dataset:universal-dependencies/universal_dependencies [42] |
dataset:AILAB-VNUHCM/vivos [4] |
dataset:pythainlp/wisesight_sentiment [32] |
dataset:wmt/wmt16 [43] |
dataset:ARTeLab/fanpage [26] |
dataset:ARTeLab/ilpost [26] |
dataset:ARTeLab/mlsum-it [26] |
dataset:Abirate/french_book_reviews [32] |
dataset:DDSC/europarl [32] |
dataset:DDSC/reddit-da [33] |
dataset:DanL/scientific-challenges-and-directions-dataset [32] |
dataset:EMBO/biolang [33] |
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