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          人工智能領(lǐng)域100+數(shù)據(jù)集分享,趕緊收藏!

          共 9484字,需瀏覽 19分鐘

           ·

          2022-02-17 21:55




          學(xué)習(xí)數(shù)據(jù)分析需要持續(xù)進(jìn)行實(shí)操,但很多讀者找不到合適的數(shù)據(jù)集來(lái)練手,小編整理了人工智能領(lǐng)域100+數(shù)據(jù)集,總有一個(gè)是適合你練手的數(shù)據(jù)集!趕緊收藏點(diǎn)贊吧!


          01


          NLP語(yǔ)料庫(kù)數(shù)據(jù)集





          1.2016-2019新聞聯(lián)播語(yǔ)料庫(kù)(11.3MB)

          https://www.heywhale.com/mw/dataset/5d2d344c688d36002c5da8e5


          2.中文謠言語(yǔ)料庫(kù)(32.6MB)

          https://www.heywhale.com/mw/dataset/5d257f87688d36002c579342


          3.中國(guó)對(duì)聯(lián)數(shù)據(jù)集(28.2MB)

          https://www.heywhale.com/mw/dataset/5c46e6f42d8ef5002b736d6d


          4.1998人民日?qǐng)?bào)標(biāo)注語(yǔ)料庫(kù)(PFR)(10.2MB)

          https://www.heywhale.com/mw/dataset/5ce7983cd10470002b334de3


          5.人民日?qǐng)?bào)文章數(shù)據(jù)集(1979-2010)(811.9MB)

          https://www.heywhale.com/mw/dataset/5c862b1ad635ff002ca2eb19


          6.人民日?qǐng)?bào)文章數(shù)據(jù)集(1949-1978)(559.4MB)

          https://www.heywhale.com/mw/dataset/5c8626031e7104002b380a4b


          7.中文新聞數(shù)據(jù)集(70.3MB)

          https://www.heywhale.com/mw/dataset/5d8878638499bc002c1148f7


          8.耶魯文本轉(zhuǎn)SQL語(yǔ)句挑戰(zhàn)數(shù)據(jù)集(95.1MB)

          https://www.heywhale.com/mw/dataset/5d48f322c143cf002bf36319


          9.新加坡國(guó)立大學(xué)SMS語(yǔ)料庫(kù)(23.4MB)

          https://www.heywhale.com/mw/dataset/5d3ea76acf76a600361e9aa0


          10.中文經(jīng)典典籍語(yǔ)料

          https://www.heywhale.com/mw/dataset/5d11e717708b90002c4d2983


          11.非正式漢語(yǔ)數(shù)據(jù)集(214.5MB)

          https://www.heywhale.com/mw/dataset/5d1c45459f53a9002ce35b61


          12.維基百科中文語(yǔ)料庫(kù)(518.7MB)

          https://www.heywhale.com/mw/dataset/5d1ee7939f53a9002ce5910e


          13.頻率最高的9933個(gè)最常用漢字?jǐn)?shù)據(jù)集(1.0MB)

          https://www.heywhale.com/mw/dataset/5d8dd076037db3002d3a715c


          14.聊天語(yǔ)料庫(kù)數(shù)據(jù)集(210.7MB)

          https://www.heywhale.com/mw/dataset/5dee1459953ca8002c9678a6


          15.短文本分類(lèi)數(shù)據(jù)集(13.1MB)

          https://www.heywhale.com/mw/dataset/5dd645fca0cb22002c94e65d/file


          16.成語(yǔ)閱讀理解數(shù)據(jù)集(195.8MB)

          https://www.heywhale.com/mw/dataset/5ddf91e8ca27f8002c4ad48d


          17.論文自動(dòng)評(píng)分?jǐn)?shù)據(jù)集(78.8MB)

          https://www.heywhale.com/mw/dataset/5de0c5ccca27f8002c4b178a


          18.翻譯語(yǔ)料(595.9MB)

          https://www.heywhale.com/mw/dataset/5de5fcafca27f8002c4ca993


          19.中文科學(xué)文獻(xiàn)摘要數(shù)據(jù)集(92.9MB)

          https://www.heywhale.com/mw/dataset/5de72db2ca27f8002c4ce7b4


          20.維基百科英文語(yǔ)料庫(kù)(89.0MB)

          https://www.heywhale.com/mw/dataset/5ddba2c9f41512002cebfef6


          21.Lord of the Rings指環(huán)王數(shù)據(jù)(223.9KB)

          https://www.heywhale.com/mw/dataset/5da83b27c83fb400420c5707


          22.中文機(jī)器閱讀理解的跨度提取數(shù)據(jù)集(CMRC 2018)

          https://www.heywhale.com/mw/dataset/5e7b180798d4a8002d2d3af6


          23.36氪新聞數(shù)據(jù)集(42.5MB)

          https://www.heywhale.com/mw/dataset/5eb68e91366f4d002d77d08d


          24.1萬(wàn)條亞馬遜樂(lè)器的評(píng)測(cè)/評(píng)論(13MB)

          https://www.heywhale.com/mw/dataset/5e980ce4ebb37f002c5feccc


          25.1萬(wàn)條互聯(lián)網(wǎng)專(zhuān)欄資訊數(shù)據(jù)集(75.7MB)

          https://www.heywhale.com/mw/dataset/5ebba2de0bff1b002ce6d6a7


          26.2萬(wàn)條中文金融新聞數(shù)據(jù)集(66.6MB)

          https://www.heywhale.com/mw/dataset/5eb69242366f4d002d77d2b7


          27.中文圖書(shū)分類(lèi)數(shù)據(jù)集(49.8MB)

          https://www.heywhale.com/mw/dataset/5ecf5a25162df90036ddec65


          28.英文歌詞數(shù)據(jù)集(69.1MB)

          https://www.heywhale.com/mw/dataset/5aab8085afaabd5e93e4e027


          29.特朗普政府發(fā)表的聲明和簡(jiǎn)報(bào)(63.6MB)

          https://www.heywhale.com/mw/dataset/5fae515f7d1e6d0030d68088







          02


          問(wèn)答類(lèi)數(shù)據(jù)集





          1.金融行業(yè)問(wèn)答數(shù)據(jù)集(245.5MB)


          https://www.heywhale.com/mw/dataset/5e9588f8e7ec38002d0331b1


          2.社區(qū)問(wèn)答數(shù)據(jù)集(1.7GB)

          https://www.heywhale.com/mw/dataset/5de601f3ca27f8002c4cac47


          3.中文醫(yī)學(xué)問(wèn)答數(shù)據(jù)集(85MB)

          https://www.heywhale.com/mw/dataset/5d313070cf76a60036e4b023


          4.CNN?新聞文章中的 12?萬(wàn)個(gè)問(wèn)答對(duì)數(shù)據(jù)集(17.3MB)

          https://www.heywhale.com/mw/dataset/5eef1408caa99b002d6e37cc






          03


          情感分析類(lèi)數(shù)據(jù)集




          1.斯坦福情緒樹(shù)庫(kù):帶有情感注釋的標(biāo)準(zhǔn)情緒數(shù)據(jù)集(6.1MB)

          https://www.heywhale.com/mw/dataset/5daa748c1035d8002c35cdee


          2.關(guān)于美國(guó)的航空公司的推特的情緒分析數(shù)據(jù)集(2.6MB)

          https://www.heywhale.com/mw/dataset/5dab23781035d8002c3634c9


          3.中文對(duì)話(huà)情緒語(yǔ)料(1.1MB)

          https://www.heywhale.com/mw/dataset/5d00c390e727f8002c4599ad


          4.多域情感數(shù)據(jù)集(51.2MB)

          https://www.heywhale.com/mw/dataset/5de5ce0aca27f8002c4c9ee8


          5.sentiment140?情感分析數(shù)據(jù)集(72.6KB)

          https://www.heywhale.com/mw/dataset/5ca46f1a8408c1002b498cca







          04


          爬蟲(chóng)類(lèi)數(shù)據(jù)集





          1.6000條周杰倫微博超話(huà)數(shù)據(jù)!(1.1MB)

          https://www.heywhale.com/mw/dataset/5d3551bdcf76a60036f605aa


          2.《中餐廳3》19W彈幕數(shù)據(jù)(12.8MB)

          https://www.heywhale.com/mw/dataset/5d7b69798499bc002c0d3ec5


          3.bilibili流行動(dòng)漫影評(píng)數(shù)據(jù)(2.3MB)

          https://www.heywhale.com/mw/dataset/5d3a76dfcf76a600360e19c9


          4.淘寶某店鋪電風(fēng)扇評(píng)論(273.9KB)

          https://www.heywhale.com/mw/dataset/5d442caec143cf002bdb687c


          5.7K條馬蜂窩國(guó)內(nèi)熱門(mén)景點(diǎn)游記(140+MB)

          https://www.heywhale.com/mw/dataset/5e7c55db98d4a8002d2db5a2


          6.IMDB電影評(píng)論數(shù)據(jù)(32.0MB)

          https://www.heywhale.com/mw/dataset/5d143d41708b90002c5f7021


          7.未名BBS熱門(mén)話(huà)題(3.6MB)

          https://www.heywhale.com/mw/dataset/5dad84b375df5c002b20d79f


          8.咪蒙所有公眾號(hào)文章(3.9MB)

          https://www.heywhale.com/mw/dataset/5c8723441e7104002b3831d3


          9.6000條周杰倫微博超話(huà)數(shù)據(jù)(1.1MB)

          https://www.heywhale.com/mw/dataset/5d3551bdcf76a60036f605aa


          10.麥當(dāng)勞就餐負(fù)面評(píng)論數(shù)據(jù)集(891.1KB)

          https://www.heywhale.com/mw/dataset/5dab2c0b1035d8002c36372b







          05


          實(shí)體識(shí)別類(lèi)數(shù)據(jù)集





          1.用于命名實(shí)體識(shí)別的帶注釋語(yǔ)料庫(kù)(26.4MB)

          https://www.heywhale.com/mw/dataset/5de9be34953ca8002c95c35f


          2.使用LatticeLSTM的中文NER數(shù)據(jù)(191.5KB)

          https://www.heywhale.com/mw/dataset/5d564ea0c143cf002b235181


          3.醫(yī)療命名實(shí)體識(shí)別數(shù)據(jù)集(5.1MB)

          https://www.heywhale.com/mw/dataset/5dedef59953ca8002c96667a


          4.中文實(shí)體關(guān)系抽取數(shù)據(jù)集(8.1MB)

          https://www.heywhale.com/mw/dataset/5dde487dca27f8002c4a8352


          5.金融信息負(fù)面及主體判定比賽數(shù)據(jù)集(17MB)

          https://www.heywhale.com/mw/dataset/5e09a9eb2823a10036b126c0





          06


          CV類(lèi)數(shù)據(jù)集





          1.Pronto共享單車(chē)數(shù)據(jù)集(70.8MB)

          https://www.heywhale.com/mw/dataset/58a515c48460306efcce2e96



          1.Fashion-MNIST圖像數(shù)據(jù)集(200.4MB)

          https://www.heywhale.com/mw/dataset/5a0cfcf860680b295c28a753


          2.CIFAR100數(shù)據(jù)集(161.3MB)

          https://www.heywhale.com/mw/dataset/5e96da12e7ec38002d03bf51


          3.車(chē)輛數(shù)據(jù)集(車(chē)輛識(shí)別與分類(lèi))(62.5MB)

          https://www.heywhale.com/mw/dataset/5bc316173631bc00109d2abf


          4.垃圾分類(lèi)數(shù)據(jù)集

          https://www.heywhale.com/mw/dataset/5d133d11708b90002c570588


          5.另一個(gè)垃圾分類(lèi)數(shù)據(jù)集(40.9MB)

          https://www.heywhale.com/mw/dataset/5d1578e4708b90002c6a3238


          6.CIFAR10數(shù)據(jù)集(148MB)

          https://www.heywhale.com/mw/dataset/5ab3403bfdf6b86c23f259e3


          7.GTSRB-德國(guó)交通標(biāo)志識(shí)別圖像數(shù)據(jù)(253.3MB)

          https://www.heywhale.com/mw/dataset/5d8db5ca037db3002d3a5ba0


          8.手勢(shì)識(shí)別數(shù)據(jù)庫(kù)(1.1GB)

          https://www.heywhale.com/mw/dataset/5d8da999037db3002d3a523


          9.情緒的面部表情(170MB+)

          https://www.heywhale.com/mw/dataset/5d773bd68499bc002c0c4a6f


          10.槍支目標(biāo)檢測(cè)(2.4MB)

          https://www.heywhale.com/mw/dataset/5d576984c143cf002b238528


          11.人臉圖像數(shù)據(jù)(294.1MB)

          https://www.heywhale.com/mw/dataset/5da6d4cac83fb4004206edf0


          12.RMFD口罩遮擋人臉數(shù)據(jù)集(610.3MB)

          https://www.heywhale.com/mw/dataset/5e81a24b246a590036b884d5


          13.中國(guó)交警手勢(shì)數(shù)據(jù)集(1.8GB)

          https://www.heywhale.com/mw/dataset/5de75df5ca27f8002c4cf1bb


          14.場(chǎng)景分類(lèi)數(shù)據(jù)集(105.9MB)

          https://www.heywhale.com/mw/dataset/5ddb4adef41512002cebc776


          15.87種寶石圖片數(shù)據(jù)(50.9MB)

          https://www.heywhale.com/mw/dataset/5ddccb4aca27f8002c4a26db


          16.驗(yàn)證碼數(shù)據(jù)集(13.5MB)

          https://www.heywhale.com/mw/dataset/5e143ef32823a10036b34846/file


          17.硬幣圖像數(shù)據(jù)集(326.7MB)

          https://www.heywhale.com/mw/dataset/5e7c7b3e98d4a8002d2dd15c


          18.LabelMe圖像語(yǔ)義分割數(shù)據(jù)集(102.6MB)

          https://www.heywhale.com/mw/dataset/5e7b770698d4a8002d2d7925


          19.車(chē)牌識(shí)別數(shù)據(jù)集(62.8MB)

          https://www.heywhale.com/mw/dataset/5e96cf8fe7ec38002d03b8ed


          20.Biwi頭姿勢(shì)數(shù)據(jù)庫(kù)(449.7MB)

          https://www.heywhale.com/mw/dataset/5ea16e79105d91002d4f4a25


          動(dòng)物

          21.Butterfly-200細(xì)粒度圖像分類(lèi)數(shù)據(jù)集(828MB)

          https://www.heywhale.com/mw/dataset/5e85d97095b029002ca7e904


          22.寵物圖像數(shù)據(jù)集(783.5MB)

          https://www.heywhale.com/mw/dataset/5d76060b8499bc002c0bdd66


          23.狗狗種類(lèi)圖像數(shù)據(jù)集(919.5MB)

          https://www.heywhale.com/mw/dataset/5def46de2823a10036aab2f5


          24.黑猩猩圖片數(shù)據(jù)集(604.4MB)

          https://www.heywhale.com/mw/dataset/5e7b62da98d4a8002d2d6deb


          植物:

          25.水稻葉子疾病圖片集(36.7MB)

          https://www.heywhale.com/mw/dataset/5d522069c143cf002b21edbb


          26.植物幼苗圖片數(shù)據(jù)集

          https://www.heywhale.com/mw/dataset/5d4cd153c143cf002b0a8d4f


          27.花卉識(shí)別數(shù)據(jù)集(224.9MB)

          https://www.heywhale.com/mw/dataset/5cc127b98c90d7002c8375d7


          28.花卉圖像分類(lèi)

          https://www.heywhale.com/mw/dataset/5d3320afcf76a60036ec5fd1


          29.可食用野外植物數(shù)據(jù)集

          https://www.heywhale.com/mw/dataset/5d4a5e88c143cf002bfbf5d0


          30.葉片計(jì)數(shù)圖像數(shù)據(jù)集(882.3MB)

          https://www.heywhale.com/mw/dataset/5e841900246a590036b954bd


          氣象:

          31.颶風(fēng)損害的衛(wèi)星圖像數(shù)據(jù)集(63MB)

          https://www.heywhale.com/mw/dataset/5da6e8a6c83fb40042073e4f


          32.從衛(wèi)星圖像理解云層數(shù)據(jù)集(42MB)

          https://www.heywhale.com/mw/dataset/5dafcd9275df5c002b2189c6


          字符識(shí)別:

          33.TibetanMNIST藏文手寫(xiě)數(shù)字?jǐn)?shù)據(jù)集(53.2MB)

          https://www.heywhale.com/mw/dataset/5bfe734a954d6e0010683839


          34.MNIST手寫(xiě)識(shí)別數(shù)據(jù)集(9.5MB)

          https://www.heywhale.com/mw/dataset/58a7c84c803d1a0d2e26441a


          35.Chars74K字符識(shí)別數(shù)據(jù)集(188.3MB)

          https://www.heywhale.com/mw/dataset/5d89c020e3ffb2002c44fb0a


          36.信用卡卡面圖像及標(biāo)注數(shù)據(jù)(42.9MB)

          https://www.heywhale.com/mw/dataset/5954cf1372ead054a5e25870


          37.手寫(xiě)數(shù)學(xué)表達(dá)式識(shí)別(29MB)

          https://www.heywhale.com/mw/dataset/5daff66f75df5c002b219fb0


          38.圖片與單詞匹配數(shù)據(jù)集(31.1MB)

          https://www.heywhale.com/mw/dataset/5dab27631035d8002c3635eb


          39.密集不規(guī)則文本行數(shù)據(jù)集(353MB)

          https://www.heywhale.com/mw/dataset/5da95febc83fb400420f3631


          40.視覺(jué)文字識(shí)別數(shù)據(jù)集

          https://www.heywhale.com/mw/dataset/5df058762823a10036aae665


          41.HASY手寫(xiě)符號(hào)圖片數(shù)據(jù)集(127.2MB)

          https://www.heywhale.com/mw/dataset/5dee0b25953ca8002c9671ea


          42.麻將圖片數(shù)據(jù)集(7.5MB)

          https://www.heywhale.com/mw/dataset/5de76474ca27f8002c4cf44c



          醫(yī)療:

          43.犬球蟲(chóng)病寄生蟲(chóng)圖片集(18.1MB)

          https://www.heywhale.com/mw/dataset/5d4cd9c7c143cf002b0abead


          44.頭部CT圖像數(shù)據(jù)(24.4MB)

          https://www.heywhale.com/mw/dataset/5d7213eb8499bc002c0af1e8


          45.肺部CT圖像數(shù)據(jù)(529.0MB)

          https://www.heywhale.com/mw/dataset/5d71de448499bc002c0ae1fc


          46.心血管疾病預(yù)測(cè)(2.7MB)

          https://www.heywhale.com/mw/dataset/5db00b9175df5c002b21af83/file


          47.深圳醫(yī)院胸片檢查掩膜圖片數(shù)據(jù)集(19.8MB)

          https://www.heywhale.com/mw/dataset/5daff18575df5c002b219c89


          48.肺部CT圖像數(shù)據(jù)(529MB)

          https://www.heywhale.com/mw/dataset/5d71de448499bc002c0ae1fc


          49.結(jié)核病圖像數(shù)據(jù)集(456.8MB)

          https://www.heywhale.com/mw/dataset/5efc4de063975d002c9792de



          行人識(shí)別:

          50.行人檢測(cè)數(shù)據(jù)集ETHZ(146MB)

          https://www.heywhale.com/mw/dataset/5db2680f75df5c002b23b755


          51.行人重識(shí)別數(shù)據(jù)集Market-1501(145.7MB)

          https://www.heywhale.com/mw/dataset/5db148b375df5c002b2295dd


          52.行人重識(shí)別數(shù)據(jù)集RAiD(140.1MB)

          https://www.heywhale.com/mw/dataset/5db11bf775df5c002b226914


          53.行人重識(shí)別數(shù)據(jù)集prid_2011(1015.3MB)

          https://www.heywhale.com/mw/dataset/5db10d1a75df5c002b2259dd


          54.汽車(chē)后視攝像頭視角行人數(shù)據(jù)集(799.7MB)

          https://www.heywhale.com/mw/dataset/5dafc75175df5c002b2186a0





          07


          語(yǔ)音類(lèi)數(shù)據(jù)集






          1.Mozilla語(yǔ)音數(shù)據(jù)集-中文(358.2MB)

          https://www.heywhale.com/mw/dataset/5d6f91678499bc002c0a722b


          2.2000個(gè)英語(yǔ)讀數(shù)字的錄音(8.9MB)

          https://www.heywhale.com/mw/dataset/5ddde933ca27f8002c4a6013






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          END


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