# datasets

hub_id: AISE-TUDelft/nlbse_ccc
license: []
language: []
config_name: default
tags:
["task_categories:text-classification","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["comment_sentence_id","class","comment_sentence","partition","instance_type","category","label","combo","__index_level_0__"]

features:
[{"name":"comment_sentence_id","dtype":"int64"},{"name":"class","dtype":"string"},{"name":"comment_sentence","dtype":"string"},{"name":"partition","dtype":"int64"},{"name":"instance_type","dtype":"int64"},{"name":"category","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"combo","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: razhan/sentiment
license: []
language: ["ku"]
config_name: default
column_names: ["tweet","sentiment"]
features: [{"name":"tweet","dtype":"string"},{"name":"sentiment","dtype":"int64"}]
tags:
["task_categories:text-classification","language:ku","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","Kurdish","Central Kurdish","Sorani","ckb","croissant"]


hub_id: waliiid/your_dataset_www
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Input","Name","Description","Temperature"]
features:
[{"name":"Input","dtype":"string"},{"name":"Name","dtype":"string"},{"name":"Description","dtype":"string"},{"name":"Temperature","dtype":"string"}]


hub_id: Yirany/UniMM-Chat
license: ["cc-by-nc-4.0"]
language: ["en"]
config_name: default
column_names: ["ds_name","image","conversation","origin_dataset","idx","image_path"]
tags:
["task_categories:text-generation","language:en","license:cc-by-nc-4.0","size_categories:1M<n<10M","parquet","image","text","datasets","dask","mlcroissant","arxiv:2310.00653","region:us","croissant"]

features:
[{"name":"ds_name","dtype":"string"},{"name":"image","dtype":"image"},{"name":"conversation","dtype":"string"},{"name":"origin_dataset","dtype":"string"},{"name":"idx","dtype":"int64"},{"name":"image_path","dtype":"string"}]


hub_id: hxyue1/NT_OT_ST
license: []
language: []
config_name: default
column_names: ["title","chunked","embeddings"]
features:
[{"name":"title","dtype":"string"},{"name":"chunked","dtype":"string"},{"name":"embeddings","sequence":"float32"}]


hub_id: jkswin/polyglot_fr_en_subset
license: []
language: []
config_name: default
column_names: ["id","lang","tokens","ner_tags","embedding","embedding_norm","projections","cluster"]
features:
[{"name":"id","dtype":"string"},{"name":"lang","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":"string"},{"name":"embedding","sequence":"float32"},{"name":"embedding_norm","sequence":"float64"},{"name":"projections","sequence":"float64"},{"name":"cluster","dtype":"int64"}]


hub_id: benjis/diversevul
license: []
language: []
config_name: default
column_names: ["func","target","cwe","project","commit_id","hash","size","message"]
tags:
["size_categories:100K<n<1M","parquet","tabular","text","datasets","dask","mlcroissant","region:us","vulnerability detection","croissant"]

features:
[{"name":"func","dtype":"string"},{"name":"target","dtype":"int64"},{"name":"cwe","sequence":"string"},{"name":"project","dtype":"string"},{"name":"commit_id","dtype":"string"},{"name":"hash","dtype":"float64"},{"name":"size","dtype":"int64"},{"name":"message","dtype":"string"}]


hub_id: danjacobellis/imagenet_RDAE100
tags: ["size_categories:n<1K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["label","compressed_image","original_shape"]
features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"tench, Tinca tinca","1":"goldfish, Carassius auratus","2":"great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias","3":"tiger shark, Galeocerdo cuvieri","4":"hammerhead, hammerhead shark","5":"electric ray, crampfish, numbfish, torpedo","6":"stingray","7":"cock","8":"hen","9":"ostrich, Struthio camelus","10":"brambling, Fringilla montifringilla","11":"goldfinch, Carduelis carduelis","12":"house finch, linnet, Carpodacus mexicanus","13":"junco, snowbird","14":"indigo bunting, indigo finch, indigo bird, Passerina cyanea","15":"robin, American robin, Turdus migratorius","16":"bulbul","17":"jay","18":"magpie","19":"chickadee","20":"water ouzel, dipper","21":"kite","22":"bald eagle, American eagle, Haliaeetus leucocephalus","23":"vulture","24":"great grey owl, great gray owl, Strix nebulosa","25":"European fire salamander, Salamandra salamandra","26":"common newt, Triturus vulgaris","27":"eft","28":"spotted salamander, Ambystoma maculatum","29":"axolotl, mud puppy, Ambystoma mexicanum","30":"bullfrog, Rana catesbeiana","31":"tree frog, tree-frog","32":"tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui","33":"loggerhead, loggerhead turtle, Caretta caretta","34":"leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea","35":"mud turtle","36":"terrapin","37":"box turtle, box tortoise","38":"banded gecko","39":"common iguana, iguana, Iguana iguana","40":"American chameleon, anole, Anolis carolinensis","41":"whiptail, whiptail lizard","42":"agama","43":"frilled lizard, Chlamydosaurus kingi","44":"alligator lizard","45":"Gila monster, Heloderma suspectum","46":"green lizard, Lacerta viridis","47":"African chameleon, Chamaeleo chamaeleon","48":"Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis","49":"African crocodile, Nile crocodile, Crocodylus niloticus","50":"American alligator, Alligator mississipiensis","51":"triceratops","52":"thunder snake, worm snake, Carphophis amoenus","53":"ringneck snake, ring-necked snake, ring snake","54":"hognose snake, puff adder, sand viper","55":"green snake, grass snake","56":"king snake, kingsnake","57":"garter snake, grass snake","58":"water snake","59":"vine snake","60":"night snake, Hypsiglena torquata","61":"boa constrictor, Constrictor constrictor","62":"rock python, rock snake, Python sebae","63":"Indian cobra, Naja naja","64":"green mamba","65":"sea snake","66":"horned viper, cerastes, sand viper, horned asp, Cerastes cornutus","67":"diamondback, diamondback rattlesnake, Crotalus adamanteus","68":"sidewinder, horned rattlesnake, Crotalus cerastes","69":"trilobite","70":"harvestman, daddy longlegs, Phalangium opilio","71":"scorpion","72":"black and gold garden spider, Argiope aurantia","73":"barn spider, Araneus cavaticus","74":"garden spider, Aranea diademata","75":"black widow, Latrodectus mactans","76":"tarantula","77":"wolf spider, hunting spider","78":"tick","79":"centipede","80":"black grouse","81":"ptarmigan","82":"ruffed grouse, partridge, Bonasa umbellus","83":"prairie chicken, prairie grouse, prairie fowl","84":"peacock","85":"quail","86":"partridge","87":"African grey, African gray, Psittacus erithacus","88":"macaw","89":"sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita","90":"lorikeet","91":"coucal","92":"bee eater","93":"hornbill","94":"hummingbird","95":"jacamar","96":"toucan","97":"drake","98":"red-breasted merganser, Mergus serrator","99":"goose","100":"black swan, Cygnus atratus","101":"tusker","102":"echidna, spiny anteater, anteater","103":"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus","104":"wallaby, brush kangaroo","105":"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus","106":"wombat","107":"jellyfish","108":"sea anemone, anemone","109":"brain coral","110":"flatworm, platyhelminth","111":"nematode, nematode worm, roundworm","112":"conch","113":"snail","114":"slug","115":"sea slug, nudibranch","116":"chiton, coat-of-mail shell, sea cradle, polyplacophore","117":"chambered nautilus, pearly nautilus, nautilus","118":"Dungeness crab, Cancer magister","119":"rock crab, Cancer irroratus","120":"fiddler crab","121":"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica","122":"American lobster, Northern lobster, Maine lobster, Homarus americanus","123":"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish","124":"crayfish, crawfish, crawdad, crawdaddy","125":"hermit crab","126":"isopod","127":"white stork, Ciconia ciconia","128":"black stork, Ciconia nigra","129":"spoonbill","130":"flamingo","131":"little blue heron, Egretta caerulea","132":"American egret, great white heron, Egretta albus","133":"bittern","134":"crane","135":"limpkin, Aramus pictus","136":"European gallinule, Porphyrio porphyrio","137":"American coot, marsh hen, mud hen, water hen, Fulica americana","138":"bustard","139":"ruddy turnstone, Arenaria interpres","140":"red-backed sandpiper, dunlin, Erolia alpina","141":"redshank, Tringa totanus","142":"dowitcher","143":"oystercatcher, oyster catcher","144":"pelican","145":"king penguin, Aptenodytes patagonica","146":"albatross, mollymawk","147":"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus","148":"killer whale, killer, orca, grampus, sea wolf, Orcinus orca","149":"dugong, Dugong dugon","150":"sea lion","151":"Chihuahua","152":"Japanese spaniel","153":"Maltese dog, Maltese terrier, Maltese","154":"Pekinese, Pekingese, Peke","155":"Shih-Tzu","156":"Blenheim spaniel","157":"papillon","158":"toy terrier","159":"Rhodesian ridgeback","160":"Afghan hound, Afghan","161":"basset, basset hound","162":"beagle","163":"bloodhound, sleuthhound","164":"bluetick","165":"black-and-tan coonhound","166":"Walker hound, Walker foxhound","167":"English foxhound","168":"redbone","169":"borzoi, Russian wolfhound","170":"Irish wolfhound","171":"Italian greyhound","172":"whippet","173":"Ibizan hound, Ibizan Podenco","174":"Norwegian elkhound, elkhound","175":"otterhound, otter hound","176":"Saluki, gazelle hound","177":"Scottish deerhound, deerhound","178":"Weimaraner","179":"Staffordshire bullterrier, Staffordshire bull terrier","180":"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier","181":"Bedlington terrier","182":"Border terrier","183":"Kerry blue terrier","184":"Irish terrier","185":"Norfolk terrier","186":"Norwich terrier","187":"Yorkshire terrier","188":"wire-haired fox terrier","189":"Lakeland terrier","190":"Sealyham terrier, Sealyham","191":"Airedale, Airedale terrier","192":"cairn, cairn terrier","193":"Australian terrier","194":"Dandie Dinmont, Dandie Dinmont terrier","195":"Boston bull, Boston terrier","196":"miniature schnauzer","197":"giant schnauzer","198":"standard schnauzer","199":"Scotch terrier, Scottish terrier, Scottie","200":"Tibetan terrier, chrysanthemum dog","201":"silky terrier, Sydney silky","202":"soft-coated wheaten terrier","203":"West Highland white terrier","204":"Lhasa, Lhasa apso","205":"flat-coated retriever","206":"curly-coated retriever","207":"golden retriever","208":"Labrador retriever","209":"Chesapeake Bay retriever","210":"German short-haired pointer","211":"vizsla, Hungarian pointer","212":"English setter","213":"Irish setter, red setter","214":"Gordon setter","215":"Brittany spaniel","216":"clumber, clumber spaniel","217":"English springer, English springer spaniel","218":"Welsh springer spaniel","219":"cocker spaniel, English cocker spaniel, cocker","220":"Sussex spaniel","221":"Irish water spaniel","222":"kuvasz","223":"schipperke","224":"groenendael","225":"malinois","226":"briard","227":"kelpie","228":"komondor","229":"Old English sheepdog, bobtail","230":"Shetland sheepdog, Shetland sheep dog, Shetland","231":"collie","232":"Border collie","233":"Bouvier des Flandres, Bouviers des Flandres","234":"Rottweiler","235":"German shepherd, German shepherd dog, German police dog, alsatian","236":"Doberman, Doberman pinscher","237":"miniature pinscher","238":"Greater Swiss Mountain dog","239":"Bernese mountain dog","240":"Appenzeller","241":"EntleBucher","242":"boxer","243":"bull mastiff","244":"Tibetan mastiff","245":"French bulldog","246":"Great Dane","247":"Saint Bernard, St Bernard","248":"Eskimo dog, husky","249":"malamute, malemute, Alaskan malamute","250":"Siberian husky","251":"dalmatian, coach dog, carriage dog","252":"affenpinscher, monkey pinscher, monkey dog","253":"basenji","254":"pug, pug-dog","255":"Leonberg","256":"Newfoundland, Newfoundland dog","257":"Great Pyrenees","258":"Samoyed, Samoyede","259":"Pomeranian","260":"chow, chow chow","261":"keeshond","262":"Brabancon griffon","263":"Pembroke, Pembroke Welsh corgi","264":"Cardigan, Cardigan Welsh corgi","265":"toy poodle","266":"miniature poodle","267":"standard poodle","268":"Mexican hairless","269":"timber wolf, grey wolf, gray wolf, Canis lupus","270":"white wolf, Arctic wolf, Canis lupus tundrarum","271":"red wolf, maned wolf, Canis rufus, Canis niger","272":"coyote, prairie wolf, brush wolf, Canis latrans","273":"dingo, warrigal, warragal, Canis dingo","274":"dhole, Cuon alpinus","275":"African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus","276":"hyena, hyaena","277":"red fox, Vulpes vulpes","278":"kit fox, Vulpes macrotis","279":"Arctic fox, white fox, Alopex lagopus","280":"grey fox, gray fox, Urocyon cinereoargenteus","281":"tabby, tabby cat","282":"tiger cat","283":"Persian cat","284":"Siamese cat, Siamese","285":"Egyptian cat","286":"cougar, puma, catamount, mountain lion, painter, panther, Felis concolor","287":"lynx, catamount","288":"leopard, Panthera pardus","289":"snow leopard, ounce, Panthera uncia","290":"jaguar, panther, Panthera onca, Felis onca","291":"lion, king of beasts, Panthera leo","292":"tiger, Panthera tigris","293":"cheetah, chetah, Acinonyx jubatus","294":"brown bear, bruin, Ursus arctos","295":"American black bear, black bear, Ursus americanus, Euarctos americanus","296":"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus","297":"sloth bear, Melursus ursinus, Ursus ursinus","298":"mongoose","299":"meerkat, mierkat","300":"tiger beetle","301":"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle","302":"ground beetle, carabid beetle","303":"long-horned beetle, longicorn, longicorn beetle","304":"leaf beetle, chrysomelid","305":"dung beetle","306":"rhinoceros beetle","307":"weevil","308":"fly","309":"bee","310":"ant, emmet, pismire","311":"grasshopper, hopper","312":"cricket","313":"walking stick, walkingstick, stick insect","314":"cockroach, roach","315":"mantis, mantid","316":"cicada, cicala","317":"leafhopper","318":"lacewing, lacewing fly","319":"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk","320":"damselfly","321":"admiral","322":"ringlet, ringlet butterfly","323":"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus","324":"cabbage butterfly","325":"sulphur butterfly, sulfur butterfly","326":"lycaenid, lycaenid butterfly","327":"starfish, sea star","328":"sea urchin","329":"sea cucumber, holothurian","330":"wood rabbit, cottontail, cottontail rabbit","331":"hare","332":"Angora, Angora rabbit","333":"hamster","334":"porcupine, hedgehog","335":"fox squirrel, eastern fox squirrel, Sciurus niger","336":"marmot","337":"beaver","338":"guinea pig, Cavia cobaya","339":"sorrel","340":"zebra","341":"hog, pig, grunter, squealer, Sus scrofa","342":"wild boar, boar, Sus scrofa","343":"warthog","344":"hippopotamus, hippo, river horse, Hippopotamus amphibius","345":"ox","346":"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis","347":"bison","348":"ram, tup","349":"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis","350":"ibex, Capra ibex","351":"hartebeest","352":"impala, Aepyceros melampus","353":"gazelle","354":"Arabian camel, dromedary, Camelus dromedarius","355":"llama","356":"weasel","357":"mink","358":"polecat, fitch, foulmart, foumart, Mustela putorius","359":"black-footed ferret, ferret, Mustela nigripes","360":"otter","361":"skunk, polecat, wood pussy","362":"badger","363":"armadillo","364":"three-toed sloth, ai, Bradypus tridactylus","365":"orangutan, orang, orangutang, Pongo pygmaeus","366":"gorilla, Gorilla gorilla","367":"chimpanzee, chimp, Pan troglodytes","368":"gibbon, Hylobates lar","369":"siamang, Hylobates syndactylus, Symphalangus syndactylus","370":"guenon, guenon monkey","371":"patas, hussar monkey, Erythrocebus patas","372":"baboon","373":"macaque","374":"langur","375":"colobus, colobus monkey","376":"proboscis monkey, Nasalis larvatus","377":"marmoset","378":"capuchin, ringtail, Cebus capucinus","379":"howler monkey, howler","380":"titi, titi monkey","381":"spider monkey, Ateles geoffroyi","382":"squirrel monkey, Saimiri sciureus","383":"Madagascar cat, ring-tailed lemur, Lemur catta","384":"indri, indris, Indri indri, Indri brevicaudatus","385":"Indian elephant, Elephas maximus","386":"African elephant, Loxodonta africana","387":"lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens","388":"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca","389":"barracouta, snoek","390":"eel","391":"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch","392":"rock beauty, Holocanthus tricolor","393":"anemone fish","394":"sturgeon","395":"gar, garfish, garpike, billfish, Lepisosteus osseus","396":"lionfish","397":"puffer, pufferfish, blowfish, globefish","398":"abacus","399":"abaya","400":"academic gown, academic robe, judge's robe","401":"accordion, piano accordion, squeeze box","402":"acoustic guitar","403":"aircraft carrier, carrier, flattop, attack aircraft carrier","404":"airliner","405":"airship, dirigible","406":"altar","407":"ambulance","408":"amphibian, amphibious vehicle","409":"analog clock","410":"apiary, bee house","411":"apron","412":"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin","413":"assault rifle, assault gun","414":"backpack, back pack, knapsack, packsack, rucksack, haversack","415":"bakery, bakeshop, bakehouse","416":"balance beam, beam","417":"balloon","418":"ballpoint, ballpoint pen, ballpen, Biro","419":"Band Aid","420":"banjo","421":"bannister, banister, balustrade, balusters, handrail","422":"barbell","423":"barber chair","424":"barbershop","425":"barn","426":"barometer","427":"barrel, cask","428":"barrow, garden cart, lawn cart, wheelbarrow","429":"baseball","430":"basketball","431":"bassinet","432":"bassoon","433":"bathing cap, swimming cap","434":"bath towel","435":"bathtub, bathing tub, bath, tub","436":"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon","437":"beacon, lighthouse, beacon light, pharos","438":"beaker","439":"bearskin, busby, shako","440":"beer bottle","441":"beer glass","442":"bell cote, bell cot","443":"bib","444":"bicycle-built-for-two, tandem bicycle, tandem","445":"bikini, two-piece","446":"binder, ring-binder","447":"binoculars, field glasses, opera glasses","448":"birdhouse","449":"boathouse","450":"bobsled, bobsleigh, bob","451":"bolo tie, bolo, bola tie, bola","452":"bonnet, poke bonnet","453":"bookcase","454":"bookshop, bookstore, bookstall","455":"bottlecap","456":"bow","457":"bow tie, bow-tie, bowtie","458":"brass, memorial tablet, plaque","459":"brassiere, bra, bandeau","460":"breakwater, groin, groyne, mole, bulwark, seawall, jetty","461":"breastplate, aegis, egis","462":"broom","463":"bucket, pail","464":"buckle","465":"bulletproof vest","466":"bullet train, bullet","467":"butcher shop, meat market","468":"cab, hack, taxi, taxicab","469":"caldron, cauldron","470":"candle, taper, wax light","471":"cannon","472":"canoe","473":"can opener, tin opener","474":"cardigan","475":"car mirror","476":"carousel, carrousel, merry-go-round, roundabout, whirligig","477":"carpenter's kit, tool kit","478":"carton","479":"car wheel","480":"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM","481":"cassette","482":"cassette player","483":"castle","484":"catamaran","485":"CD player","486":"cello, violoncello","487":"cellular telephone, cellular phone, cellphone, cell, mobile phone","488":"chain","489":"chainlink fence","490":"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour","491":"chain saw, chainsaw","492":"chest","493":"chiffonier, commode","494":"chime, bell, gong","495":"china cabinet, china closet","496":"Christmas stocking","497":"church, church building","498":"cinema, movie theater, movie theatre, movie house, picture palace","499":"cleaver, meat cleaver, chopper","500":"cliff dwelling","501":"cloak","502":"clog, geta, patten, sabot","503":"cocktail shaker","504":"coffee mug","505":"coffeepot","506":"coil, spiral, volute, whorl, helix","507":"combination lock","508":"computer keyboard, keypad","509":"confectionery, confectionary, candy store","510":"container ship, containership, container vessel","511":"convertible","512":"corkscrew, bottle screw","513":"cornet, horn, trumpet, trump","514":"cowboy boot","515":"cowboy hat, ten-gallon hat","516":"cradle","517":"crane2","518":"crash helmet","519":"crate","520":"crib, cot","521":"Crock Pot","522":"croquet ball","523":"crutch","524":"cuirass","525":"dam, dike, dyke","526":"desk","527":"desktop computer","528":"dial telephone, dial phone","529":"diaper, nappy, napkin","530":"digital clock","531":"digital watch","532":"dining table, board","533":"dishrag, dishcloth","534":"dishwasher, dish washer, dishwashing machine","535":"disk brake, disc brake","536":"dock, dockage, docking facility","537":"dogsled, dog sled, dog sleigh","538":"dome","539":"doormat, welcome mat","540":"drilling platform, offshore rig","541":"drum, membranophone, tympan","542":"drumstick","543":"dumbbell","544":"Dutch oven","545":"electric fan, blower","546":"electric guitar","547":"electric locomotive","548":"entertainment center","549":"envelope","550":"espresso maker","551":"face powder","552":"feather boa, boa","553":"file, file cabinet, filing cabinet","554":"fireboat","555":"fire engine, fire truck","556":"fire screen, fireguard","557":"flagpole, flagstaff","558":"flute, transverse flute","559":"folding chair","560":"football helmet","561":"forklift","562":"fountain","563":"fountain pen","564":"four-poster","565":"freight car","566":"French horn, horn","567":"frying pan, frypan, skillet","568":"fur coat","569":"garbage truck, dustcart","570":"gasmask, respirator, gas helmet","571":"gas pump, gasoline pump, petrol pump, island dispenser","572":"goblet","573":"go-kart","574":"golf ball","575":"golfcart, golf cart","576":"gondola","577":"gong, tam-tam","578":"gown","579":"grand piano, grand","580":"greenhouse, nursery, glasshouse","581":"grille, radiator grille","582":"grocery store, grocery, food market, market","583":"guillotine","584":"hair slide","585":"hair spray","586":"half track","587":"hammer","588":"hamper","589":"hand blower, blow dryer, blow drier, hair dryer, hair drier","590":"hand-held computer, hand-held microcomputer","591":"handkerchief, hankie, hanky, hankey","592":"hard disc, hard disk, fixed disk","593":"harmonica, mouth organ, harp, mouth harp","594":"harp","595":"harvester, reaper","596":"hatchet","597":"holster","598":"home theater, home theatre","599":"honeycomb","600":"hook, claw","601":"hoopskirt, crinoline","602":"horizontal bar, high bar","603":"horse cart, horse-cart","604":"hourglass","605":"iPod","606":"iron, smoothing iron","607":"jack-o'-lantern","608":"jean, blue jean, denim","609":"jeep, landrover","610":"jersey, T-shirt, tee shirt","611":"jigsaw puzzle","612":"jinrikisha, ricksha, rickshaw","613":"joystick","614":"kimono","615":"knee pad","616":"knot","617":"lab coat, laboratory coat","618":"ladle","619":"lampshade, lamp shade","620":"laptop, laptop computer","621":"lawn mower, mower","622":"lens cap, lens cover","623":"letter opener, paper knife, paperknife","624":"library","625":"lifeboat","626":"lighter, light, igniter, ignitor","627":"limousine, limo","628":"liner, ocean liner","629":"lipstick, lip rouge","630":"Loafer","631":"lotion","632":"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system","633":"loupe, jeweler's loupe","634":"lumbermill, sawmill","635":"magnetic compass","636":"mailbag, postbag","637":"mailbox, letter box","638":"maillot","639":"maillot, tank suit","640":"manhole cover","641":"maraca","642":"marimba, xylophone","643":"mask","644":"matchstick","645":"maypole","646":"maze, labyrinth","647":"measuring cup","648":"medicine chest, medicine cabinet","649":"megalith, megalithic structure","650":"microphone, mike","651":"microwave, microwave oven","652":"military uniform","653":"milk can","654":"minibus","655":"miniskirt, mini","656":"minivan","657":"missile","658":"mitten","659":"mixing bowl","660":"mobile home, manufactured home","661":"Model T","662":"modem","663":"monastery","664":"monitor","665":"moped","666":"mortar","667":"mortarboard","668":"mosque","669":"mosquito net","670":"motor scooter, scooter","671":"mountain bike, all-terrain bike, off-roader","672":"mountain tent","673":"mouse, computer mouse","674":"mousetrap","675":"moving van","676":"muzzle","677":"nail","678":"neck brace","679":"necklace","680":"nipple","681":"notebook, notebook computer","682":"obelisk","683":"oboe, hautboy, hautbois","684":"ocarina, sweet potato","685":"odometer, hodometer, mileometer, milometer","686":"oil filter","687":"organ, pipe organ","688":"oscilloscope, scope, cathode-ray oscilloscope, CRO","689":"overskirt","690":"oxcart","691":"oxygen mask","692":"packet","693":"paddle, boat paddle","694":"paddlewheel, paddle wheel","695":"padlock","696":"paintbrush","697":"pajama, pyjama, pj's, jammies","698":"palace","699":"panpipe, pandean pipe, syrinx","700":"paper towel","701":"parachute, chute","702":"parallel bars, bars","703":"park bench","704":"parking meter","705":"passenger car, coach, carriage","706":"patio, terrace","707":"pay-phone, pay-station","708":"pedestal, plinth, footstall","709":"pencil box, pencil case","710":"pencil sharpener","711":"perfume, essence","712":"Petri dish","713":"photocopier","714":"pick, plectrum, plectron","715":"pickelhaube","716":"picket fence, paling","717":"pickup, pickup truck","718":"pier","719":"piggy bank, penny bank","720":"pill bottle","721":"pillow","722":"ping-pong ball","723":"pinwheel","724":"pirate, pirate ship","725":"pitcher, ewer","726":"plane, carpenter's plane, woodworking plane","727":"planetarium","728":"plastic bag","729":"plate rack","730":"plow, plough","731":"plunger, plumber's helper","732":"Polaroid camera, Polaroid Land camera","733":"pole","734":"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria","735":"poncho","736":"pool table, billiard table, snooker table","737":"pop bottle, soda bottle","738":"pot, flowerpot","739":"potter's wheel","740":"power drill","741":"prayer rug, prayer mat","742":"printer","743":"prison, prison house","744":"projectile, missile","745":"projector","746":"puck, hockey puck","747":"punching bag, punch bag, punching ball, punchball","748":"purse","749":"quill, quill pen","750":"quilt, comforter, comfort, puff","751":"racer, race car, racing car","752":"racket, racquet","753":"radiator","754":"radio, wireless","755":"radio telescope, radio reflector","756":"rain barrel","757":"recreational vehicle, RV, R.V.","758":"reel","759":"reflex camera","760":"refrigerator, icebox","761":"remote control, remote","762":"restaurant, eating house, eating place, eatery","763":"revolver, six-gun, six-shooter","764":"rifle","765":"rocking chair, rocker","766":"rotisserie","767":"rubber eraser, rubber, pencil eraser","768":"rugby ball","769":"rule, ruler","770":"running shoe","771":"safe","772":"safety pin","773":"saltshaker, salt shaker","774":"sandal","775":"sarong","776":"sax, saxophone","777":"scabbard","778":"scale, weighing machine","779":"school bus","780":"schooner","781":"scoreboard","782":"screen, CRT screen","783":"screw","784":"screwdriver","785":"seat belt, seatbelt","786":"sewing machine","787":"shield, buckler","788":"shoe shop, shoe-shop, shoe store","789":"shoji","790":"shopping basket","791":"shopping cart","792":"shovel","793":"shower cap","794":"shower curtain","795":"ski","796":"ski mask","797":"sleeping bag","798":"slide rule, slipstick","799":"sliding door","800":"slot, one-armed bandit","801":"snorkel","802":"snowmobile","803":"snowplow, snowplough","804":"soap dispenser","805":"soccer ball","806":"sock","807":"solar dish, solar collector, solar furnace","808":"sombrero","809":"soup bowl","810":"space bar","811":"space heater","812":"space shuttle","813":"spatula","814":"speedboat","815":"spider web, spider's web","816":"spindle","817":"sports car, sport car","818":"spotlight, spot","819":"stage","820":"steam locomotive","821":"steel arch bridge","822":"steel drum","823":"stethoscope","824":"stole","825":"stone wall","826":"stopwatch, stop watch","827":"stove","828":"strainer","829":"streetcar, tram, tramcar, trolley, trolley car","830":"stretcher","831":"studio couch, day bed","832":"stupa, tope","833":"submarine, pigboat, sub, U-boat","834":"suit, suit of clothes","835":"sundial","836":"sunglass","837":"sunglasses, dark glasses, shades","838":"sunscreen, sunblock, sun blocker","839":"suspension bridge","840":"swab, swob, mop","841":"sweatshirt","842":"swimming trunks, bathing trunks","843":"swing","844":"switch, electric switch, electrical switch","845":"syringe","846":"table lamp","847":"tank, army tank, armored combat vehicle, armoured combat vehicle","848":"tape player","849":"teapot","850":"teddy, teddy bear","851":"television, television system","852":"tennis ball","853":"thatch, thatched roof","854":"theater curtain, theatre curtain","855":"thimble","856":"thresher, thrasher, threshing machine","857":"throne","858":"tile roof","859":"toaster","860":"tobacco shop, tobacconist shop, tobacconist","861":"toilet seat","862":"torch","863":"totem pole","864":"tow truck, tow car, wrecker","865":"toyshop","866":"tractor","867":"trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi","868":"tray","869":"trench coat","870":"tricycle, trike, velocipede","871":"trimaran","872":"tripod","873":"triumphal arch","874":"trolleybus, trolley coach, trackless trolley","875":"trombone","876":"tub, vat","877":"turnstile","878":"typewriter keyboard","879":"umbrella","880":"unicycle, monocycle","881":"upright, upright piano","882":"vacuum, vacuum cleaner","883":"vase","884":"vault","885":"velvet","886":"vending machine","887":"vestment","888":"viaduct","889":"violin, fiddle","890":"volleyball","891":"waffle iron","892":"wall clock","893":"wallet, billfold, notecase, pocketbook","894":"wardrobe, closet, press","895":"warplane, military plane","896":"washbasin, handbasin, washbowl, lavabo, wash-hand basin","897":"washer, automatic washer, washing machine","898":"water bottle","899":"water jug","900":"water tower","901":"whiskey jug","902":"whistle","903":"wig","904":"window screen","905":"window shade","906":"Windsor tie","907":"wine bottle","908":"wing","909":"wok","910":"wooden spoon","911":"wool, woolen, woollen","912":"worm fence, snake fence, snake-rail fence, Virginia fence","913":"wreck","914":"yawl","915":"yurt","916":"web site, website, internet site, site","917":"comic book","918":"crossword puzzle, crossword","919":"street sign","920":"traffic light, traffic signal, stoplight","921":"book jacket, dust cover, dust jacket, dust wrapper","922":"menu","923":"plate","924":"guacamole","925":"consomme","926":"hot pot, hotpot","927":"trifle","928":"ice cream, icecream","929":"ice lolly, lolly, lollipop, popsicle","930":"French loaf","931":"bagel, beigel","932":"pretzel","933":"cheeseburger","934":"hotdog, hot dog, red hot","935":"mashed potato","936":"head cabbage","937":"broccoli","938":"cauliflower","939":"zucchini, courgette","940":"spaghetti squash","941":"acorn squash","942":"butternut squash","943":"cucumber, cuke","944":"artichoke, globe artichoke","945":"bell pepper","946":"cardoon","947":"mushroom","948":"Granny Smith","949":"strawberry","950":"orange","951":"lemon","952":"fig","953":"pineapple, ananas","954":"banana","955":"jackfruit, jak, jack","956":"custard apple","957":"pomegranate","958":"hay","959":"carbonara","960":"chocolate sauce, chocolate syrup","961":"dough","962":"meat loaf, meatloaf","963":"pizza, pizza pie","964":"potpie","965":"burrito","966":"red wine","967":"espresso","968":"cup","969":"eggnog","970":"alp","971":"bubble","972":"cliff, drop, drop-off","973":"coral reef","974":"geyser","975":"lakeside, lakeshore","976":"promontory, headland, head, foreland","977":"sandbar, sand bar","978":"seashore, coast, seacoast, sea-coast","979":"valley, vale","980":"volcano","981":"ballplayer, baseball player","982":"groom, bridegroom","983":"scuba diver","984":"rapeseed","985":"daisy","986":"yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum","987":"corn","988":"acorn","989":"hip, rose hip, rosehip","990":"buckeye, horse chestnut, conker","991":"coral fungus","992":"agaric","993":"gyromitra","994":"stinkhorn, carrion fungus","995":"earthstar","996":"hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa","997":"bolete","998":"ear, spike, capitulum","999":"toilet tissue, toilet paper, bathroom tissue"}}}},{"name":"compressed_image","dtype":"binary"},{"name":"original_shape","sequence":"int64"}]


hub_id: notrichardren/deception-evals
license: []
language: []
config_name: default
column_names: ["claim","label","ind","qa_type"]
features:
[{"name":"claim","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"ind","dtype":"int64"},{"name":"qa_type","dtype":"int64"}]


hub_id: P1ayer-1/annas-zlib3-index
license: []
language: []
config_name: default
column_names: ["aacid","metadata"]
features:
[{"name":"aacid","dtype":"string"},{"name":"metadata","struct":[{"name":"zlibrary_id","dtype":"int64"},{"name":"date_added","dtype":"string"},{"name":"date_modified","dtype":"string"},{"name":"extension","dtype":"string"},{"name":"filesize_reported","dtype":"int64"},{"name":"md5_reported","dtype":"string"},{"name":"title","dtype":"string"},{"name":"author","dtype":"string"},{"name":"publisher","dtype":"string"},{"name":"language","dtype":"string"},{"name":"series","dtype":"string"},{"name":"volume","dtype":"string"},{"name":"edition","dtype":"string"},{"name":"year","dtype":"string"},{"name":"pages","dtype":"string"},{"name":"description","dtype":"string"},{"name":"cover_path","dtype":"string"},{"name":"isbns","sequence":"string"},{"name":"category_id","dtype":"string"}]}]


hub_id: loremipsum3658/emb
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input_text","target_text","__index_level_0__"]
features:
[{"name":"input_text","dtype":"string"},{"name":"target_text","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: loremipsum3658/sen
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input","output","__index_level_0__"]
features:
[{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: loremipsum3658/pet
license: []
language: []
config_name: default
column_names:
["fname","raw_text","aviso_previo","saldo_de_salario","ferias","decimo_terceiro","fgts","multa_do_477","multa_do_467","horas_extras","intervalo_intrajornada","intervalo_interjornada","adicional_noturno","adicional_de_insalubridade","adicional_de_periculosidade","diferencas_salariais_ou_equiparacao_salarial","dano_moral","contribuicao_assistencial","indenizacao_por_lucros_cessantes","indenizacao_por_dano_emergente","multa_normativa","honorarios_advocaticios","justica_gratuita","reconhecimento_de_vinculo","reflexos_das_parcelas_salariais","reflexos_de_salarios_oficiosos_e_informais","outros","__index_level_0__"]

features:
[{"name":"fname","dtype":"string"},{"name":"raw_text","dtype":"string"},{"name":"aviso_previo","dtype":"bool"},{"name":"saldo_de_salario","dtype":"bool"},{"name":"ferias","dtype":"bool"},{"name":"decimo_terceiro","dtype":"bool"},{"name":"fgts","dtype":"bool"},{"name":"multa_do_477","dtype":"bool"},{"name":"multa_do_467","dtype":"bool"},{"name":"horas_extras","dtype":"bool"},{"name":"intervalo_intrajornada","dtype":"bool"},{"name":"intervalo_interjornada","dtype":"bool"},{"name":"adicional_noturno","dtype":"bool"},{"name":"adicional_de_insalubridade","dtype":"bool"},{"name":"adicional_de_periculosidade","dtype":"bool"},{"name":"diferencas_salariais_ou_equiparacao_salarial","dtype":"bool"},{"name":"dano_moral","dtype":"bool"},{"name":"contribuicao_assistencial","dtype":"bool"},{"name":"indenizacao_por_lucros_cessantes","dtype":"bool"},{"name":"indenizacao_por_dano_emergente","dtype":"bool"},{"name":"multa_normativa","dtype":"bool"},{"name":"honorarios_advocaticios","dtype":"bool"},{"name":"justica_gratuita","dtype":"bool"},{"name":"reconhecimento_de_vinculo","dtype":"bool"},{"name":"reflexos_das_parcelas_salariais","dtype":"bool"},{"name":"reflexos_de_salarios_oficiosos_e_informais","dtype":"bool"},{"name":"outros","dtype":"bool"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: loremipsum3658/and
license: []
language: []
config_name: default
column_names: ["nup","data","titulo","andamento","classificacao_andamento","__index_level_0__"]
features:
[{"name":"nup","dtype":"string"},{"name":"data","dtype":"string"},{"name":"titulo","dtype":"string"},{"name":"andamento","dtype":"string"},{"name":"classificacao_andamento","sequence":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: hitorilabs/iris
license: ["cc0-1.0"]
language: []
config_name: default
column_names: ["petal_length","petal_width","sepal_length","sepal_width","species"]
tags:
["task_categories:tabular-classification","license:cc0-1.0","size_categories:n<1K","parquet","tabular","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"petal_length","dtype":"float32"},{"name":"petal_width","dtype":"float32"},{"name":"sepal_length","dtype":"float32"},{"name":"sepal_width","dtype":"float32"},{"name":"species","dtype":{"class_label":{"names":{"0":"Iris-setosa","1":"Iris-versicolor","2":"Iris-virginica"}}}}]


hub_id: ShuaKang/calvin_d_d_gripper
license: []
language: []
config_name: default
column_names: ["obs_image","goal_image","text","gripper_image"]
features:
[{"name":"obs_image","dtype":"image"},{"name":"goal_image","dtype":"image"},{"name":"text","dtype":"string"},{"name":"gripper_image","dtype":"image"}]


hub_id: dadofalin/coderefine0824
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["function","validationType","fixed"]
features:
[{"name":"function","dtype":"string"},{"name":"validationType","dtype":"string"},{"name":"fixed","dtype":"string"}]


hub_id: KATANABRAVE/stories
license: ["llama2"]
language: []
config_name: default
column_names: ["title","article","text","input_ids","attention_mask","labels"]
tags:
["license:llama2","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"title","dtype":"string"},{"name":"article","dtype":"string"},{"name":"text","dtype":"string"},{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"},{"name":"labels","sequence":"int64"}]


hub_id: laampt/alpaca-train
license: []
language: []
config_name: default
column_names: ["question","answer","input_ids","attention_mask","labels"]
features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"input_ids","sequence":"int64"},{"name":"attention_mask","sequence":"int64"},{"name":"labels","sequence":"int64"}]


hub_id: tay-yozhik/SyntheticTexts
license: ["apache-2.0"]
language: ["ru"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["language:ru","license:apache-2.0","size_categories:1M<n<10M","text","datasets","mlcroissant","region:us","croissant"]


hub_id: ravidborse/minispider
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["db_id","query","question","query_toks","query_toks_no_value","question_toks"]
tags:
["task_categories:text2text-generation","annotations_creators:expert-generated","language_creators:expert-generated","language_creators:machine-generated","multilinguality:monolingual","source_datasets:original","language:en","license:apache-2.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","text-to-sql","croissant"]


hub_id: alayaran/bodo-monolingual-dataset
license: ["mit"]
language: ["brx"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["task_categories:text-generation","language:brx","license:mit","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: approach0/MSE-duplicate-questions
license: []
language: []
config_name: default
column_names: ["qid","Q","dup_qid","Q_dup"]
features:
[{"name":"qid","dtype":"string"},{"name":"Q","dtype":"string"},{"name":"dup_qid","dtype":"string"},{"name":"Q_dup","dtype":"string"}]


hub_id: yqzheng/semeval2014_laptops
license: []
language: []
config_name: default
column_names: ["text","aspect","start","end","label"]
features:
[{"name":"text","dtype":"string"},{"name":"aspect","dtype":"string"},{"name":"start","dtype":"int64"},{"name":"end","dtype":"int64"},{"name":"label","dtype":"int64"}]


hub_id: seara/ru_go_emotions
license: ["mit"]
language: ["ru","en"]
config_name: simplified
column_names: ["ru_text","text","labels","id"]
tags:
["task_categories:text-classification","task_categories:translation","task_ids:multi-class-classification","task_ids:multi-label-classification","task_ids:sentiment-analysis","task_ids:sentiment-classification","source_datasets:go_emotions","language:ru","language:en","license:mit","size_categories:10M<n<100M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","emotion-classification","emotion","reddit","croissant"]

features:
[{"name":"ru_text","dtype":"string"},{"name":"text","dtype":"string"},{"name":"labels","sequence":{"class_label":{"names":{"0":"admiration","1":"amusement","2":"anger","3":"annoyance","4":"approval","5":"caring","6":"confusion","7":"curiosity","8":"desire","9":"disappointment","10":"disapproval","11":"disgust","12":"embarrassment","13":"excitement","14":"fear","15":"gratitude","16":"grief","17":"joy","18":"love","19":"nervousness","20":"optimism","21":"pride","22":"realization","23":"relief","24":"remorse","25":"sadness","26":"surprise","27":"neutral"}}}},{"name":"id","dtype":"string"}]


hub_id: renumics/emodb-enriched
license: []
language: []
config_name: default
column_names:
["age","gender","emotion","audio","m1_gender_prediction","m2_gender_prediction","m1_embedding","m2_embedding","emotion_embedding","m1_correct","m2_correct"]

features:
[{"name":"age","dtype":"float32"},{"name":"gender","dtype":{"class_label":{"names":{"0":"female","1":"male"}}}},{"name":"emotion","dtype":{"class_label":{"names":{"0":"anger","1":"boredom","2":"disgust","3":"fear","4":"happiness","5":"neutral","6":"sadness"}}}},{"name":"audio","dtype":"audio"},{"name":"m1_gender_prediction","dtype":{"class_label":{"names":{"0":"female","1":"male"}}}},{"name":"m2_gender_prediction","dtype":{"class_label":{"names":{"0":"female","1":"male"}}}},{"name":"m1_embedding","sequence":"float32","length":1028},{"name":"m2_embedding","sequence":"float32","length":1028},{"name":"emotion_embedding","sequence":"float32","length":1024},{"name":"m1_correct","dtype":{"class_label":{"names":{"0":"wrong","1":"correct"}}}},{"name":"m2_correct","dtype":{"class_label":{"names":{"0":"wrong","1":"correct"}}}}]


hub_id: LeoLM/OpenSchnabeltier
license: []
language: []
config_name: default
column_names: ["output","instruction","instruction_de","output_de","translation_de"]
features:
[{"name":"output","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"instruction_de","dtype":"string"},{"name":"output_de","dtype":"string"},{"name":"translation_de","dtype":"string"}]


hub_id: TirathP/embellishments-sample
license: []
language: []
config_name: default
column_names: ["image","label","fname"]
features:
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hub_id: PeterHolderrieth/Isabelle
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hub_id: AndresR2909/finetuning_dataset_lamini
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hub_id: voidful/narrativeqa-test-tts
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hub_id: quocanh34/soict_train_dataset
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hub_id: tmfi/japanese-invoice-dqa
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hub_id: Kiwihead15/github-issues
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hub_id: dominguesm/canarim-enem2022-tests
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hub_id: nihiluis/financial-advisor-100
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hub_id: claudios/java-trace-dataset
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hub_id: Yijia-Xiao/pii-wikidoc
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hub_id: Yijia-Xiao/pii-wikidoc_patient_information
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hub_id: Yijia-Xiao/pii-medical_flashcards
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hub_id: Yijia-Xiao/pii-cord19
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hub_id: nc33/qapair
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hub_id: ashwincv0112/Master_Course_Application_Email_avp
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hub_id: DataStudio/STT_01
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hub_id: kaiku03/custom_complain_dataset_NER9
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hub_id: thesistranslation/distilled-ccmatrix-es-en
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language: ["es","en"]
config_name: default
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hub_id: reichenbach/news_classification_kaggle_dt
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hub_id: vargr/yt_main_image_dataset
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hub_id: vargr/yt_full_image_dataset
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hub_id: RikoteMaster/llama2_classifying_and_explainning
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hub_id: SergeiGKS/huggingface-dataset-issues
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hub_id: Augusto777/OCT2017
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hub_id: HuggingFaceM4/SugarCrepe_replace_att_test
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hub_id: SaiedAlshahrani/Moroccan_Arabic_Wikipedia_20230101_bots
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hub_id: conceptofmind/100k-no-markdown
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hub_id: jorgeortizfuentes/sfl_automatization_spanish_attitude
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hub_id: M-A-D/Mixed-Arabic-Datasets-Repo
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hub_id: roszcz/maestro-quantized
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hub_id: legacy107/cpgQA
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hub_id: ksabeh/openbrand
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hub_id: nc33/cross-encoder-law
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hub_id: SaiedAlshahrani/Arabic_Wikipedia_20230101_bots
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tags:
["language:ar","license:mit","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: BadreddineHug/LayoutLM_data
license: []
language: []
config_name: default
column_names: ["id","image","bboxes","ner_tags","tokens"]
features:
[{"name":"id","dtype":"string"},{"name":"image","dtype":"image"},{"name":"bboxes","sequence":{"sequence":"int64"}},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"Ref","2":"NumFa","3":"Fourniss","4":"DateFa","5":"DateLim","6":"TotalHT","7":"TVA","8":"TotalTTc","9":"unitP","10":"Qt","11":"TVAP","12":"descp"}}}},{"name":"tokens","sequence":"string"}]


hub_id: Khush12295/moviereviewssynthetic100
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["product","description","critique"]
features:
[{"name":"product","dtype":"string"},{"name":"description","dtype":"string"},{"name":"critique","dtype":"string"}]


hub_id: cat-claws/face-verification
license: []
language: []
config_name: default
column_names: ["image1","image2","target"]
features:
[{"name":"image1","dtype":"image"},{"name":"image2","dtype":"image"},{"name":"target","dtype":{"class_label":{"names":{"0":"different","1":"same"}}}}]


hub_id: eduagarcia-temp/brwac_meta
license: []
language: []
config_name: default
column_names: ["text","meta"]
features:
[{"name":"text","dtype":"string"},{"name":"meta","struct":[{"name":"dedup","struct":[{"name":"exact_norm","struct":[{"name":"cluster_main_idx","dtype":"int64"},{"name":"cluster_size","dtype":"int64"},{"name":"exact_hash_idx","dtype":"int64"},{"name":"is_duplicate","dtype":"bool"}]},{"name":"minhash","struct":[{"name":"cluster_main_idx","dtype":"int64"},{"name":"cluster_size","dtype":"int64"},{"name":"is_duplicate","dtype":"bool"},{"name":"minhash_idx","dtype":"int64"}]}]},{"name":"doc_id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"uri","dtype":"string"}]}]


hub_id: quocanh34/test_unmerged50_results
license: []
language: []
config_name: default
column_names:
["audio","prediction","spoken_norm_prediction","id","w2v2_large_5grams_transcription","unmerged_50"]

features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"prediction","dtype":"string"},{"name":"spoken_norm_prediction","dtype":"string"},{"name":"id","dtype":"string"},{"name":"w2v2_large_5grams_transcription","dtype":"string"},{"name":"unmerged_50","dtype":"string"}]


hub_id: saiful21/Leaf_classification
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"\u0985\u09b0\u09cd\u099c\u09c1\u09a8","1":"\u0986\u09ae","2":"\u099c\u09be\u09ae","3":"\u09aa\u09c7\u09af\u09bc\u09be\u09b0\u09be","4":"\u09ac\u09c7\u09b2","5":"\u09b2\u09c7\u09ac\u09c1"}}}}]


hub_id: nielsr/datacomp-small-with-text-embeddings
license: []
language: []
config_name: default
column_names:
["uid","url","text","original_width","original_height","clip_b32_similarity_score","clip_l14_similarity_score","face_bboxes","sha256","clip_l14_text_embedding"]

features:
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hub_id: eduagarcia-temp/OSCAR-2301_meta
license: []
language: []
config_name: default
column_names: ["id","text","meta"]
features:
[{"name":"id","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"meta","struct":[{"name":"categories","sequence":"string"},{"name":"dedup","struct":[{"name":"exact_norm","struct":[{"name":"cluster_main_idx","dtype":"int64"},{"name":"cluster_size","dtype":"int64"},{"name":"exact_hash_idx","dtype":"int64"},{"name":"is_duplicate","dtype":"bool"}]},{"name":"minhash","struct":[{"name":"cluster_main_idx","dtype":"int64"},{"name":"cluster_size","dtype":"int64"},{"name":"is_duplicate","dtype":"bool"},{"name":"minhash_idx","dtype":"int64"}]}]},{"name":"harmful_pp","dtype":"float64"},{"name":"identification","struct":[{"name":"label","dtype":"string"},{"name":"prob","dtype":"float64"}]},{"name":"quality_warnings","sequence":"string"},{"name":"sentence_identifications","list":[{"name":"label","dtype":"string"},{"name":"prob","dtype":"float64"}]},{"name":"tlsh","dtype":"string"},{"name":"warc_headers","struct":[{"name":"content-length","dtype":"int64"},{"name":"content-type","dtype":"string"},{"name":"warc-block-digest","dtype":"string"},{"name":"warc-date","dtype":"string"},{"name":"warc-identified-content-language","dtype":"string"},{"name":"warc-record-id","dtype":"string"},{"name":"warc-refers-to","dtype":"string"},{"name":"warc-target-uri","dtype":"string"},{"name":"warc-type","dtype":"string"}]}]}]


hub_id: yxgao/sharegpt-cn-llama2
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["text","id","lang"]
features: [{"name":"text","dtype":"string"},{"name":"id","dtype":"string"},{"name":"lang","dtype":"string"}]
tags:
["license:apache-2.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","llama2","croissant"]


hub_id: Jakir057/bangla_money
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"1","1":"10","2":"100","3":"1000","4":"2","5":"20","6":"5","7":"50","8":"500"}}}}]


hub_id: pchanumolu/huge-context-size-test
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["task_categories:text-generation","language:en","license:cc-by-4.0","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","code","croissant"]


hub_id: syp1229/E_normal_over70
license: []
language: []
config_name: default
column_names:
["audio","text","scriptId","fileNm","recrdTime","recrdQuality","recrdDt","scriptSetNo","recrdEnvrn","colctUnitCode","cityCode","recrdUnit","convrsThema","gender","recorderId","age"]

features:
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hub_id: quocanh34/fake_dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","sentence","intent","sentence_annotation","entities","file","audio"]
features:
[{"name":"id","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"intent","dtype":"string"},{"name":"sentence_annotation","dtype":"string"},{"name":"entities","list":[{"name":"type","dtype":"string"},{"name":"filler","dtype":"string"}]},{"name":"file","dtype":"string"},{"name":"audio","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]}]


hub_id: pythainlp/jusci-website
license: ["cc-by-3.0"]
language: ["th"]
config_name: default
column_names: ["content","url","title"]
tags:
["task_categories:text-generation","language:th","license:cc-by-3.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"content","dtype":"string"},{"name":"url","dtype":"string"},{"name":"title","dtype":"string"}]


hub_id: ChengSong/nl2sql_general_ability
license: []
language: []
config_name: default
column_names: ["prompt","response","ability"]
features:
[{"name":"prompt","dtype":"string"},{"name":"response","dtype":"string"},{"name":"ability","dtype":"string"}]


hub_id: ChengSong/nl2sql_general_ability_enhanced
license: []
language: []
config_name: default
column_names: ["instruction","schema","knowledge","constraint","query","response"]
features:
[{"name":"instruction","dtype":"string"},{"name":"schema","dtype":"string"},{"name":"knowledge","dtype":"string"},{"name":"constraint","dtype":"string"},{"name":"query","dtype":"string"},{"name":"response","dtype":"string"}]


hub_id: heegyu/hh-rlhf-vicuna-format
license: []
language: []
config_name: default
column_names: ["chosen","rejected","source","context","instruction"]
features:
[{"name":"chosen","struct":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]},{"name":"rejected","struct":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]},{"name":"source","dtype":"string"},{"name":"context","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]},{"name":"instruction","struct":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]}]


hub_id: AtheerAlgherairy/DST_Multiwoz21_instruction_Tuning
license: []
language: []
config_name: default
column_names:
["context","Answer","json_answer","chat_prompt_no_ans","chat_prompt","llama_prompt_no_ans","llama_prompt"]

features:
[{"name":"context","dtype":"string"},{"name":"Answer","dtype":"string"},{"name":"json_answer","dtype":"string"},{"name":"chat_prompt_no_ans","dtype":"string"},{"name":"chat_prompt","dtype":"string"},{"name":"llama_prompt_no_ans","dtype":"string"},{"name":"llama_prompt","dtype":"string"}]


hub_id: indiejoseph/yue-zh-translation
license: ["cc-by-4.0"]
language: ["yue","zh"]
config_name: default
column_names: ["translation"]
features: [{"name":"translation","struct":[{"name":"yue","dtype":"string"},{"name":"zh","dtype":"string"}]}]
tags:
["task_categories:translation","language:yue","language:zh","license:cc-by-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: quocanh34/soict_train_dataset_with_WER
license: []
language: []
config_name: default
column_names:
["id","sentence","intent","sentence_annotation","entities","file","audio","origin_transcription","sentence_norm","w2v2_base_5grams_transcription","w2v2_large_5grams_transcription","norm_w2v2_base","norm_w2v2_large","WER_base","WER_large"]

features:
[{"name":"id","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"intent","dtype":"string"},{"name":"sentence_annotation","dtype":"string"},{"name":"entities","list":[{"name":"type","dtype":"string"},{"name":"filler","dtype":"string"}]},{"name":"file","dtype":"string"},{"name":"audio","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"origin_transcription","dtype":"string"},{"name":"sentence_norm","dtype":"string"},{"name":"w2v2_base_5grams_transcription","dtype":"string"},{"name":"w2v2_large_5grams_transcription","dtype":"string"},{"name":"norm_w2v2_base","dtype":"string"},{"name":"norm_w2v2_large","dtype":"string"},{"name":"WER_base","dtype":"int64"},{"name":"WER_large","dtype":"int64"}]


hub_id: quocanh34/soict_train_non_value_new
tags: ["parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["id","sentence","intent","sentence_annotation","entities","file","audio","origin_transcription","sentence_norm","w2v2_base_5grams_transcription","w2v2_large_5grams_transcription"]

features:
[{"name":"id","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"intent","dtype":"string"},{"name":"sentence_annotation","dtype":"string"},{"name":"entities","list":[{"name":"type","dtype":"string"},{"name":"filler","dtype":"string"}]},{"name":"file","dtype":"string"},{"name":"audio","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"origin_transcription","dtype":"string"},{"name":"sentence_norm","dtype":"string"},{"name":"w2v2_base_5grams_transcription","dtype":"string"},{"name":"w2v2_large_5grams_transcription","dtype":"string"}]


hub_id: cjvt/ginco
license: ["cc-by-sa-4.0"]
language: ["sl"]
config_name: default
tags:
["task_categories:text-classification","multilinguality:monolingual","language:sl","license:cc-by-sa-4.0","size_categories:1K<n<10K","region:us"]

column_names:
["id","url","crawled","hard","paragraphs","primary_level_1","primary_level_2","primary_level_3","secondary_level_1","secondary_level_2","secondary_level_3","tertiary_level_1","tertiary_level_2","tertiary_level_3","split","domain"]

features:
[{"name":"id","dtype":"string"},{"name":"url","dtype":"string"},{"name":"crawled","dtype":"string"},{"name":"hard","dtype":"bool"},{"name":"paragraphs","list":[{"name":"text","dtype":"string"},{"name":"duplicate","dtype":"bool"},{"name":"keep","dtype":"bool"}]},{"name":"primary_level_1","dtype":"string"},{"name":"primary_level_2","dtype":"string"},{"name":"primary_level_3","dtype":"string"},{"name":"secondary_level_1","dtype":"string"},{"name":"secondary_level_2","dtype":"string"},{"name":"secondary_level_3","dtype":"string"},{"name":"tertiary_level_1","dtype":"string"},{"name":"tertiary_level_2","dtype":"string"},{"name":"tertiary_level_3","dtype":"string"},{"name":"split","dtype":"string"},{"name":"domain","dtype":"string"}]


hub_id: cto-algo-huggingface/named-necklace-dataset-with-original-canny-sobel-caption
license: []
language: []
config_name: default
column_names: ["original","canny","sobel","caption"]
features:
[{"name":"original","dtype":"image"},{"name":"canny","dtype":"image"},{"name":"sobel","dtype":"image"},{"name":"caption","dtype":"string"}]


hub_id: daveK91/church_classification
tags: ["size_categories:n<1K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["pixel_values","label"]
features:
[{"name":"pixel_values","sequence":{"sequence":{"sequence":{"sequence":"float32"}}}},{"name":"label","dtype":"int64"}]


hub_id: YassineBenlaria/en_ar_transliterated
license: []
language: []
config_name: default
column_names: ["path","audio","sentence_lat","sentence"]
features:
[{"name":"path","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":48000}}},{"name":"sentence_lat","dtype":"string"},{"name":"sentence","dtype":"string"}]


hub_id: ericyu/LEVIRCD_Cropped_256
license: []
language: []
config_name: default
column_names: ["imageA","imageB","label"]
features:
[{"name":"imageA","dtype":"image"},{"name":"imageB","dtype":"image"},{"name":"label","dtype":"image"}]


hub_id: daveK91/dom_classification
tags: ["size_categories:n<1K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["pixel_values","label"]
features:
[{"name":"pixel_values","sequence":{"sequence":{"sequence":{"sequence":"float32"}}}},{"name":"label","dtype":{"class_label":{"names":{"0":"Anderes","1":"Dreikoenigenschrein","2":"Gerokreuz"}}}}]


hub_id: eduagarcia/mc4-pt
license: []
language: []
config_name: default
column_names: ["text","timestamp","url","meta"]
tags:
["size_categories:100M<n<1B","parquet","text","datasets","dask","mlcroissant","arxiv:2010.11934","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"timestamp","dtype":"string"},{"name":"url","dtype":"string"},{"name":"meta","struct":[{"name":"dedup","struct":[{"name":"exact_norm","struct":[{"name":"cluster_main_idx","dtype":"int64"},{"name":"cluster_size","dtype":"int64"},{"name":"exact_hash_idx","dtype":"int64"},{"name":"is_duplicate","dtype":"bool"}]},{"name":"minhash","struct":[{"name":"cluster_main_idx","dtype":"int64"},{"name":"cluster_size","dtype":"int64"},{"name":"is_duplicate","dtype":"bool"},{"name":"minhash_idx","dtype":"int64"}]}]}]}]


hub_id: nayohan/KoAlpaca-v1.1a_ppl
license: []
language: []
config_name: default
column_names: ["instruction","output","url","ppl","len"]
features:
[{"name":"instruction","dtype":"string"},{"name":"output","dtype":"string"},{"name":"url","dtype":"string"},{"name":"ppl","dtype":"float64"},{"name":"len","dtype":"int64"}]


hub_id: cesarali/test_ocean_clients
license: []
language: []
config_name: default
column_names:
["o","c","e","a","n","education","current_work","ethnicity","income_bracket","age","sexual_orientation","favorite_movies","favorite_tv_shows","comment","id","location"]

features:
[{"name":"o","dtype":"int64"},{"name":"c","dtype":"int64"},{"name":"e","dtype":"int64"},{"name":"a","dtype":"int64"},{"name":"n","dtype":"int64"},{"name":"education","dtype":"string"},{"name":"current_work","dtype":"string"},{"name":"ethnicity","dtype":"string"},{"name":"income_bracket","dtype":"string"},{"name":"age","dtype":"int64"},{"name":"sexual_orientation","dtype":"string"},{"name":"favorite_movies","sequence":"string"},{"name":"favorite_tv_shows","sequence":"string"},{"name":"comment","dtype":"string"},{"name":"id","dtype":"string"},{"name":"location","dtype":"string"}]


hub_id: cesarali/test_ipp50
license: []
language: []
config_name: default
column_names: ["id","question","choices","value"]
features:
[{"name":"id","dtype":"int64"},{"name":"question","dtype":"string"},{"name":"choices","sequence":"string"},{"name":"value","dtype":"float64"}]


hub_id: LibrAI/do-not-answer
license: ["apache-2.0"]
language: ["en"]
config_name: default
tags:
["task_categories:text-generation","language:en","license:apache-2.0","size_categories:n<1K","parquet","image","tabular","text","datasets","pandas","mlcroissant","region:us","safety","large language model","croissant"]

column_names:
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features:
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hub_id: qazisaad/llama_2_optimized_product_titles-esci
license: []
language: []
config_name: default
column_names: ["index","product_title","average_score","total_score","text"]
features:
[{"name":"index","dtype":"int64"},{"name":"product_title","dtype":"string"},{"name":"average_score","dtype":"float64"},{"name":"total_score","dtype":"float64"},{"name":"text","dtype":"string"}]


hub_id: bjoernp/code_search_net_python_filtered_top50k
license: []
language: []
config_name: default
column_names: ["code","signature","docstring","loss_without_docstring","loss_with_docstring","factor"]
features:
[{"name":"code","dtype":"string"},{"name":"signature","dtype":"string"},{"name":"docstring","dtype":"string"},{"name":"loss_without_docstring","dtype":"float64"},{"name":"loss_with_docstring","dtype":"float64"},{"name":"factor","dtype":"float64"}]


hub_id: bjoernp/code_search_net_filtered_top100
license: []
language: []
config_name: default
column_names:
["code","signature","docstring","loss_without_docstring","loss_with_docstring","factor","__index_level_0__"]

features:
[{"name":"code","dtype":"string"},{"name":"signature","dtype":"string"},{"name":"docstring","dtype":"string"},{"name":"loss_without_docstring","dtype":"float64"},{"name":"loss_with_docstring","dtype":"float64"},{"name":"factor","dtype":"float64"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: nayohan/kullm-v2_ppl
license: []
language: []
config_name: default
column_names: ["id","instruction","input","output","ppl","len"]
features:
[{"name":"id","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"ppl","dtype":"float64"},{"name":"len","dtype":"int64"}]


hub_id: daveK91/kdom_classification
tags: ["size_categories:n<1K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["pixel_values","labels"]
features:
[{"name":"pixel_values","sequence":{"sequence":{"sequence":{"sequence":"float32"}}}},{"name":"labels","dtype":{"class_label":{"names":{"0":"Anderes","1":"Dreikoenigenschrein","2":"Gerokreuz"}}}}]


hub_id: Mohanrajv27/Text-to-sql_label
license: []
language: []
config_name: default
column_names: ["instruction","response","input_ids","attention_mask","labels"]
features:
[{"name":"instruction","dtype":"string"},{"name":"response","dtype":"string"},{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"},{"name":"labels","sequence":"int64"}]


hub_id: darthlordvictor/generative-ai-dataset-002
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["product_name","product_description","marketing_email"]
features:
[{"name":"product_name","dtype":"string"},{"name":"product_description","dtype":"string"},{"name":"marketing_email","dtype":"string"}]


hub_id: mkly/crypto-sales-question-answers
license: []
language: ["en"]
config_name: default
column_names: ["question","answer","cryptocurrency"]
tags:
["task_categories:question-answering","multilinguality:monolingual","source_datasets:web_questions","language:en","size_categories:100K<n<1M","json","text","datasets","pandas","mlcroissant","region:us","cryptocurrency","adapter-transformers","croissant"]

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


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


hub_id: ChanceFocus/flare-es-efp
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["query:","answer","text","choices","gold","query"]
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hub_id: wisenut-nlp-team/korquad_v1.0_gqa_ab_context
license: []
language: []
config_name: default
column_names: ["answer","question","context_a","context_b"]
features:
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hub_id: vikp/code_search_net_filtered_34k
license: ["cc-by-4.0"]
language: []
config_name: default
tags:
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column_names:
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hub_id: TaylorAI/RLCD-generated-preference-data
license: []
language: []
config_name: default
column_names: ["instruction","input","output_1","output_2","preference","__index_level_0__"]
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hub_id: LahiruLowe/niv2_explanation_targets_h2ogpt-gm-oasst1-en-2048-falcon-40b-v2-GGML
license: []
language: []
config_name: default
column_names:
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hub_id: TaylorAI/RLCD-SFT-dataset
license: []
language: []
config_name: default
column_names: ["instruction","preferred_output","__index_level_0__"]
features:
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hub_id: LahiruLowe/cot_filtered_3pertask
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["original_index","inputs","targets","task_source","task_name","template_type"]
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hub_id: vivekraina/stanford_dataset_qa_final
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["paragraphs","title","text"]
features:
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hub_id: abdiharyadi/id_panl_bppt_with_amrbart_amr
license: []
language: []
config_name: default
column_names: ["id","translation","topic","amr"]
features:
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hub_id: jat-project/jat-dataset
license: ["apache-2.0"]
language: []
config_name: wikipedia
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
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hub_id: TrainingDataPro/hair-detection-and-segmentation
license: ["cc-by-nc-nd-4.0"]
language: ["en"]
config_name: default
column_names: ["id","image","mask","collage","shapes"]
tags:
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features:
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hub_id: SneakyInsect/maestro-preprocessed
license: []
language: []
config_name: default
column_names: ["name","start","duration","pitch","velocity"]
features:
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hub_id: quocanh34/result_with_w2v2_baseline
license: []
language: []
config_name: default
column_names: ["audio","id","w2v2_baseline_transcription","w2v2_baseline_norm"]
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hub_id: yzhuang/autotree_automl_credit_sgosdt_l256_d3_sd0
tags: ["size_categories:10K<n<100K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","input_x","input_y","rtg","status","split_threshold","split_dimension"]
features:
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hub_id: OpenAssistant/OASST-DE
license: ["apache-2.0"]
language: ["de"]
config_name: default
column_names: ["conversation"]
tags:
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features:
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hub_id: vikp/evol_instruct_code_filtered_39k
license: []
language: []
config_name: default
column_names: ["output","instruction","quality_prob","learning_prob"]
features:
[{"name":"output","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"quality_prob","dtype":"float64"},{"name":"learning_prob","dtype":"float64"}]


hub_id: nikchar/retrieved_claims_val
license: []
language: []
config_name: default
column_names: ["label","claim","evidence_wiki_url","retrieved_evidence","retrieval_score","id","text","lines"]
features:
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hub_id: cestwc/concise536
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","cite","wordy","concise","category","link","delete","replace","rewrite"]
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hub_id: vikp/evol_codealpaca_filtered_87k
license: []
language: []
config_name: default
column_names: ["instruction","output","quality_prob","learning_prob"]
features:
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hub_id: abdulrub/fashion-products
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["id","image"]
features:
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hub_id: mrm8488/FloCo_train
license: []
language: []
config_name: default
column_names: ["common_id","image","code"]
features:
[{"name":"common_id","dtype":"string"},{"name":"image","dtype":"string"},{"name":"code","dtype":"string"}]


hub_id: vitaliy-sharandin/ai-incidents
license: []
language: []
config_name: default
column_names:
["_id","incident_id","date","reports","Alleged deployer of AI system","Alleged developer of AI system","Alleged harmed or nearly harmed parties","description","title","year","spacy_negative_outcomes","keybert_negative_outcomes","Cluster"]

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hub_id: qazisaad/llama_2_optimized_product_titles-esci-temp
license: []
language: []
config_name: default
column_names:
["level_0","index","product_title","average_score","total_score","text","preds","__index_level_0__"]

features:
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hub_id: Jakir057/augmented_notes_9000
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
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hub_id: vikp/code_instructions_filtered_7k
license: []
language: []
config_name: default
column_names: ["input","instruction","output","quality_prob","learning_prob"]
features:
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hub_id: vikp/coding_exercises_filtered
license: []
language: []
config_name: default
column_names: ["exercise","quality_prob","learning_prob"]
features:
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hub_id: TaylorAI/RLCD-SFT-conversations
license: []
language: []
config_name: default
column_names: ["0","__index_level_0__","messages"]
features:
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hub_id: vikp/evol_instruct_v2_filtered_109k
license: []
language: []
config_name: default
column_names: ["idx","conversations","rendered","quality_prob","learning_prob"]
features:
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hub_id: Seenka/directv-zocalos-agosto-5fps_vectors
license: []
language: []
config_name: default
column_names:
["image","image_filename","frame_time","video_storage_path","zocalo_id","frame_number","is_L_shape","horizontal_check","vertical_check","black_image","horizontal_xmin","horizontal_xmax","horizontal_ymin","horizontal_ymax","vertical_xmin","vertical_xmax","vertical_ymin","vertical_ymax","cropped_image_horizontal","cropped_image_vertical","width","height","embedding_horizontal","embedding_vertical"]

features:
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hub_id: theblackcat102/crossvalidated-posts
license: []
language: ["code","en"]
config_name: default
tags:
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column_names:
["Id","PostTypeId","AcceptedAnswerId","ParentId","Score","ViewCount","Body","Title","ContentLicense","FavoriteCount","CreationDate","LastActivityDate","LastEditDate","LastEditorUserId","OwnerUserId","Tags"]

features:
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hub_id: griffin/baseline_summarization
license: []
language: []
config_name: default
column_names: ["id","prompt","completion"]
features:
[{"name":"id","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"completion","dtype":"string"}]


hub_id: Yorai/detect-waste
license: []
language: ["en"]
config_name: default
column_names: ["image_id","image","width","height","objects"]
tags:
["language:en","size_categories:1K<n<10K","parquet","image","datasets","dask","mlcroissant","region:us","climate","croissant"]

features:
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hub_id: qazisaad/llama_2_product_titles-esci_train
license: []
language: []
config_name: default
column_names: ["index","query","average_score","total_score","text"]
features:
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hub_id: qazisaad/llama_2_product_titles-esci_train-temp
license: []
language: []
config_name: default
column_names: ["index","query","average_score","total_score","text","preds"]
features:
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hub_id: qazisaad/llama_2_product_titles-esci_train-temp-pos
license: []
language: []
config_name: default
column_names: ["index","query","average_score","total_score","text","preds","__index_level_0__"]
features:
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hub_id: abdiharyadi/id_panl_bppt_with_amrbart_opus_mt_indobert_id_amr
license: []
language: []
config_name: default
column_names: ["id","translation","topic","en_amr","id_amr"]
features:
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hub_id: shyam-incedoinc/java_cucumber_code_train
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["step_file_name","scenario","step_function","page_function","step_function_scenario","code","text"]

features:
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hub_id: Joshua8966/blog-writer_training-data-v30-8-2023
license: []
language: []
config_name: default
column_names: ["title","article","text"]
features:
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hub_id: Gauravvaid-shell/instruct-python-500k
license: ["gpl-3.0"]
language: []
config_name: default
column_names: ["score_question","score_answer","question","answer","__index_level_0__"]
tags:
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features:
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hub_id: danjacobellis/imagenet_RDAE_batched_250k
tags: ["size_categories:1K<n<10K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["compressed_batch","label","latent_size"]
features:
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hub_id: abhishek/autotrain-data-as6y-5zz4-oanx
license: []
language: []
config_name: default
column_names:
["PassengerId","Pclass","Name","Sex","Age","SibSp","Parch","Ticket","Fare","Cabin","Embarked","autotrain_id","autotrain_label"]

features:
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hub_id: VanoInvestigations/BOE
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: pumaML/ML-NLP
license: []
language: []
config_name: default
column_names: ["_id","num-step","prevId","action","value","testid"]
features:
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hub_id: minh21/cpgQA-v1.0-unique-context
license: []
language: []
config_name: default
column_names: ["title","id","question","answer_text","answer_start","context"]
features:
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hub_id: TrainingDataPro/botox-injections-before-and-after
license: ["cc-by-nc-nd-4.0"]
language: ["en"]
config_name: default
column_names: ["id","before","after"]
features: [{"name":"id","dtype":"int32"},{"name":"before","dtype":"image"},{"name":"after","dtype":"image"}]
tags:
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hub_id: jtatman/orca_mini_uncensored_squad_format_train
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["id","title","context","question","answers"]
tags:
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features:
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hub_id: dariolopez/Llama-2-databricks-dolly-es
license: []
language: ["es"]
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column_names: ["msg","resp_correct","resp_incorrect"]
tags:
["task_categories:question-answering","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"msg","dtype":"string"},{"name":"resp_correct","dtype":"string"},{"name":"resp_incorrect","sequence":"string"}]


hub_id: eduagarcia-temp/cc100_meta
license: []
language: []
config_name: default
column_names: ["id","text","meta"]
features:
[{"name":"id","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"meta","struct":[{"name":"dedup","struct":[{"name":"exact_norm","struct":[{"name":"cluster_main_idx","dtype":"int64"},{"name":"cluster_size","dtype":"int64"},{"name":"exact_hash_idx","dtype":"int64"},{"name":"is_duplicate","dtype":"bool"}]},{"name":"minhash","struct":[{"name":"cluster_main_idx","dtype":"int64"},{"name":"cluster_size","dtype":"int64"},{"name":"is_duplicate","dtype":"bool"},{"name":"minhash_idx","dtype":"int64"}]}]}]}]


hub_id: vikp/python_functions_filtered
license: []
language: []
config_name: default
column_names: ["code","quality_prob","learning_prob"]
features:
[{"name":"code","dtype":"string"},{"name":"quality_prob","dtype":"float64"},{"name":"learning_prob","dtype":"float64"}]


hub_id: chiayewken/flan-v2
license: []
language: []
config_name: default
column_names: ["source","target","task_name","task_source","template_type","template_idx"]
features:
[{"name":"source","dtype":"string"},{"name":"target","dtype":"string"},{"name":"task_name","dtype":"string"},{"name":"task_source","dtype":"string"},{"name":"template_type","dtype":"string"},{"name":"template_idx","dtype":"int64"}]


hub_id: qazi-ali/llama_2-optimized-titles-esci-sft-train
license: []
language: []
config_name: default
column_names:
["product_title","text","preds","clean_preds","average_score","new_score","good_pred","bad_pred","__index_level_0__"]

features:
[{"name":"product_title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"preds","dtype":"string"},{"name":"clean_preds","dtype":"string"},{"name":"average_score","dtype":"float64"},{"name":"new_score","dtype":"float64"},{"name":"good_pred","dtype":"string"},{"name":"bad_pred","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: dim/tldr_news_3k
license: []
language: []
config_name: default
column_names: ["headline","content","category"]
features:
[{"name":"headline","dtype":"string"},{"name":"content","dtype":"string"},{"name":"category","dtype":{"class_label":{"names":{"0":"Sponsor","1":"Big Tech & Startups","2":"Science and Futuristic Technology","3":"Programming, Design & Data Science","4":"Miscellaneous"}}}}]


hub_id: dim/linux_man_pages_tldr_summarized
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Command","Text","Summary"]
features:
[{"name":"Command","dtype":"string"},{"name":"Text","dtype":"string"},{"name":"Summary","dtype":"string"}]


hub_id: sachithgunasekara/LaMini-instruction-only-SequenceMatcher-Levenstein
license: []
language: []
config_name: default
column_names:
["instruction","source","similarity_sequencematcher","most_similar_example_sequencematcher","similarity_edit"]

features:
[{"name":"instruction","dtype":"string"},{"name":"source","dtype":"string"},{"name":"similarity_sequencematcher","dtype":"float64"},{"name":"most_similar_example_sequencematcher","dtype":"string"},{"name":"similarity_edit","dtype":"int64"}]


hub_id: qazi-ali/llama_2-optimized-titles-esci-sft-all
license: []
language: []
config_name: default
column_names:
["product_title","text","preds","clean_preds","average_score","new_score","good_pred","bad_pred","__index_level_0__","index"]

features:
[{"name":"product_title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"preds","dtype":"string"},{"name":"clean_preds","dtype":"string"},{"name":"average_score","dtype":"float64"},{"name":"new_score","dtype":"float64"},{"name":"good_pred","dtype":"string"},{"name":"bad_pred","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"},{"name":"index","dtype":"int64"}]


hub_id: qazi-ali/llama_2-optimized-titles-esci-sft-test
license: []
language: []
config_name: default
column_names:
["index","product_title","text","preds","clean_preds","average_score","new_score","good_pred","bad_pred","__index_level_0__"]

features:
[{"name":"index","dtype":"int64"},{"name":"product_title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"preds","dtype":"string"},{"name":"clean_preds","dtype":"string"},{"name":"average_score","dtype":"float64"},{"name":"new_score","dtype":"float64"},{"name":"good_pred","dtype":"string"},{"name":"bad_pred","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: dim/ru_word_games_3k
license: []
language: []
config_name: default
column_names: ["subset","answer","prompt"]
features:
[{"name":"subset","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"prompt","dtype":"string"}]


hub_id: PurCL/malware-top-100
license: []
language: []
config_name: default
column_names: ["binary_name","labels","functions"]
features:
[{"name":"binary_name","dtype":"string"},{"name":"labels","sequence":"string"},{"name":"functions","dtype":"string"}]


hub_id: sam2ai/odia_cc_news_parallel
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["title","text","url","date_publish"]
features:
[{"name":"title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"url","dtype":"string"},{"name":"date_publish","dtype":"string"}]


hub_id: twang2218/chinese-law-and-regulations
license: ["apache-2.0"]
language: []
config_name: metadata
tags:
["license:apache-2.0","size_categories:10M<n<100M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["publish_date","effective_date","type","status","title","office","office_level","office_category","effective_period"]

features:
[{"name":"publish_date","dtype":"timestamp[ns]"},{"name":"effective_date","dtype":"timestamp[ns]"},{"name":"type","dtype":"string"},{"name":"status","dtype":"string"},{"name":"title","dtype":"string"},{"name":"office","dtype":"string"},{"name":"office_level","dtype":"string"},{"name":"office_category","dtype":"string"},{"name":"effective_period","dtype":"string"}]


hub_id: terhdavid/proba_dataset-3
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["tokens","ner"]
features:
[{"name":"tokens","sequence":"string"},{"name":"ner","sequence":{"class_label":{"names":{"0":"O","1":"B-ORG","2":"I-ORG"}}}}]


hub_id: JasiekKaczmarczyk/giant-midi-sustain-quantized
license: []
language: []
config_name: default
column_names: ["midi_filename","pitch","dstart","duration","velocity","dstart_bin","duration_bin","velocity_bin"]
tags:
["size_categories:100K<n<1M","parquet","text","timeseries","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"midi_filename","dtype":"string"},{"name":"pitch","sequence":"int16","length":128},{"name":"dstart","sequence":"float32","length":128},{"name":"duration","sequence":"float32","length":128},{"name":"velocity","sequence":"int16","length":128},{"name":"dstart_bin","sequence":"int8","length":128},{"name":"duration_bin","sequence":"int8","length":128},{"name":"velocity_bin","sequence":"int8","length":128}]


hub_id: Rawar/heman-toy
license: ["cc-by-nc-4.0"]
language: []
config_name: default
column_names: ["file_name","path","caption","description","image"]
tags:
["license:cc-by-nc-4.0","size_categories:n<1K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"file_name","dtype":"string"},{"name":"path","dtype":"string"},{"name":"caption","dtype":"string"},{"name":"description","dtype":"string"},{"name":"image","dtype":"image"}]


hub_id: SatwikKambham/uc_merced_land_use
license: ["cc0-1.0"]
language: []
config_name: ucmerced_landuse
column_names: ["img","label"]
tags:
["task_categories:image-classification","license:cc0-1.0","size_categories:1K<n<10K","image","text","datasets","mlcroissant","region:us","croissant"]

features:
[{"name":"img","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"agricultural","1":"airplane","2":"baseballdiamond","3":"beach","4":"buildings","5":"chaparral","6":"denseresidential","7":"forest","8":"freeway","9":"golfcourse","10":"harbor","11":"intersection","12":"mediumresidential","13":"mobilehomepark","14":"overpass","15":"parkinglot","16":"river","17":"runway","18":"sparseresidential","19":"storagetanks","20":"tenniscourt"}}}}]


hub_id: paoloitaliani/news_articles
license: []
language: []
config_name: ukraine
column_names: ["date","body","author","journal","__index_level_0__"]
features:
[{"name":"date","dtype":"timestamp[ns]"},{"name":"body","dtype":"string"},{"name":"author","dtype":"string"},{"name":"journal","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: fedml/databricks-dolly-15k-niid
license: ["cc-by-sa-3.0"]
language: ["en"]
config_name: default
column_names: ["instruction","context","response","category"]
tags:
["language:en","license:cc-by-sa-3.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: fernandoperes/first_ds
license: ["openrail"]
language: []
config_name: default
column_names: ["sentence1","sentence2","label","idx"]
tags:
["license:openrail","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"sentence1","dtype":"string"},{"name":"sentence2","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"not_equivalent","1":"equivalent"}}}},{"name":"idx","dtype":"int32"}]


hub_id: dim/huggingartists_raw
license: []
language: []
config_name: default
column_names: ["text","prompt","dataset"]
features:
[{"name":"text","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"dataset","dtype":"string"}]


hub_id: qazisaad/llama_2-optimized-titles-esci-sft-test-2
license: []
language: []
config_name: default
column_names: ["index","product_title","text","preds","clean_preds","average_score"]
features:
[{"name":"index","dtype":"int64"},{"name":"product_title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"preds","dtype":"string"},{"name":"clean_preds","dtype":"string"},{"name":"average_score","dtype":"float64"}]


hub_id: DynamicSuperb/SpeakerVerification_VCTK
license: []
language: []
config_name: default
column_names: ["file","audio","file2","audio2","instruction","label"]
features:
[{"name":"file","dtype":"string"},{"name":"audio","dtype":"audio"},{"name":"file2","dtype":"string"},{"name":"audio2","dtype":"audio"},{"name":"instruction","dtype":"string"},{"name":"label","dtype":"string"}]


hub_id: whizystems/common_voice_13_0-hu-whisper
tags: ["size_categories:10K<n<100K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input_features","labels","input_length"]
features:
[{"name":"input_features","sequence":{"sequence":{"sequence":"float32"}}},{"name":"labels","sequence":"int64"},{"name":"input_length","dtype":"float64"}]


hub_id: vikp/codem
license: []
language: []
config_name: default
column_names: ["instruction","output","kind"]
features:
[{"name":"instruction","dtype":"string"},{"name":"output","dtype":"string"},{"name":"kind","dtype":"string"}]


hub_id: vikp/codem_filtered
license: []
language: []
config_name: default
column_names: ["instruction","output","kind","quality_prob","learning_prob"]
features:
[{"name":"instruction","dtype":"string"},{"name":"output","dtype":"string"},{"name":"kind","dtype":"string"},{"name":"quality_prob","dtype":"float64"},{"name":"learning_prob","dtype":"float64"}]


hub_id: Tverous/demo
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["uid","article","premise","image","claim","label","claim_cleaned_amr","amr_penman","amr_tokens","amr_nodes","amr_alignments","amr_edges"]

features:
[{"name":"uid","dtype":"string"},{"name":"article","sequence":"string"},{"name":"premise","dtype":"string"},{"name":"image","sequence":"string"},{"name":"claim","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"claim_cleaned_amr","dtype":"string"},{"name":"amr_penman","dtype":"string"},{"name":"amr_tokens","sequence":"string"},{"name":"amr_nodes","dtype":"string"},{"name":"amr_alignments","dtype":"string"},{"name":"amr_edges","sequence":{"sequence":"string"}}]


hub_id: nikchar/claim_verification_training_set
license: []
language: []
config_name: default
column_names:
["id","label","claim","evidence_annotation_id","evidence_id","evidence_wiki_url","evidence_sentence_id","__index_level_0__"]

features:
[{"name":"id","dtype":"int32"},{"name":"label","dtype":"string"},{"name":"claim","dtype":"string"},{"name":"evidence_annotation_id","dtype":"int32"},{"name":"evidence_id","dtype":"int32"},{"name":"evidence_wiki_url","dtype":"string"},{"name":"evidence_sentence_id","dtype":"int32"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: nllg/wmt-metrics-data
license: []
language: []
config_name: mt0-labse
column_names: ["labels","input_ids","attention_mask","labse"]
tags:
["size_categories:1M<n<10M","parquet","text","timeseries","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"labels","dtype":"float64"},{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"},{"name":"labse","sequence":"float32"}]


hub_id: nikchar/20k_claims_train_final
license: []
language: []
config_name: default
column_names: ["claim","text","label"]
features:
[{"name":"claim","dtype":"string"},{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"}]


hub_id: dim/lurk_prompts
license: []
language: []
config_name: default
column_names: ["prompt","text","word"]
features:
[{"name":"prompt","dtype":"string"},{"name":"text","dtype":"string"},{"name":"word","dtype":"string"}]


hub_id: dim/yandex_q_10k
license: []
language: []
config_name: default
column_names: ["description","question","answer"]
features:
[{"name":"description","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"}]


hub_id: yzhuang/autotree_snnxor_n30_l1_2
tags: ["size_categories:10K<n<100K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","input_x","input_y","input_y_clean","rtg","status","split_threshold","split_dimension"]
features:
[{"name":"id","dtype":"int64"},{"name":"input_x","sequence":{"sequence":"float32"}},{"name":"input_y","sequence":{"sequence":"float32"}},{"name":"input_y_clean","sequence":{"sequence":"float32"}},{"name":"rtg","sequence":"float64"},{"name":"status","sequence":{"sequence":"float32"}},{"name":"split_threshold","sequence":{"sequence":"float32"}},{"name":"split_dimension","sequence":"int64"}]


hub_id: KhalfounMehdi/mura_dataset_processed
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"abnormal","1":"normal"}}}}]


hub_id: qingyuyang/Fetal_Planes_DB_E6
license: ["openrail"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["license:openrail","size_categories:1K<n<10K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"Trans-cerebellum","1":"Trans-thalamic","2":"Trans-ventricular"}}}}]


hub_id: FudanSELab/ClassEval
license: ["mit"]
language: ["en"]
config_name: default
tags:
["task_categories:text2text-generation","language:en","license:mit","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","arxiv:2308.01861","region:us","code-generation","croissant"]

column_names:
["task_id","skeleton","test","solution_code","import_statement","class_description","methods_info","class_name","test_classes","class_constructor","fields"]

features:
[{"name":"task_id","dtype":"string"},{"name":"skeleton","dtype":"string"},{"name":"test","dtype":"string"},{"name":"solution_code","dtype":"string"},{"name":"import_statement","sequence":"string"},{"name":"class_description","dtype":"string"},{"name":"methods_info","list":[{"name":"method_name","dtype":"string"},{"name":"method_description","dtype":"string"},{"name":"test_class","dtype":"string"},{"name":"test_code","dtype":"string"},{"name":"solution_code","dtype":"string"},{"name":"dependencies","struct":[{"name":"Standalone","dtype":"bool"},{"name":"lib_dependencies","sequence":"string"},{"name":"field_dependencies","sequence":"string"},{"name":"method_dependencies","sequence":"string"}]}]},{"name":"class_name","dtype":"string"},{"name":"test_classes","sequence":"string"},{"name":"class_constructor","dtype":"string"},{"name":"fields","sequence":"string"}]


hub_id: Goorm-AI-04/Drone_RCS_Measurement
license: []
language: []
config_name: default
column_names: ["f","theta","phi","RCS"]
features:
[{"name":"f","dtype":"int64"},{"name":"theta","dtype":"int64"},{"name":"phi","dtype":"int64"},{"name":"RCS","dtype":"float64"}]


hub_id: mozart-ai/test-xawery-qa
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["url","answer","question"]
features:
[{"name":"url","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"question","dtype":"string"}]


hub_id: reichenbach/drug_combi_instruct
license: []
language: []
config_name: default
column_names: ["doc_id","sentence","spans","rels","paragraph","source","instruction"]
features:
[{"name":"doc_id","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"spans","list":[{"name":"span_id","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"start","dtype":"int64"},{"name":"end","dtype":"int64"},{"name":"token_start","dtype":"int64"},{"name":"token_end","dtype":"int64"}]},{"name":"rels","list":[{"name":"class","dtype":"string"},{"name":"spans","sequence":"int64"},{"name":"is_context_needed","dtype":"bool"}]},{"name":"paragraph","dtype":"string"},{"name":"source","dtype":"string"},{"name":"instruction","dtype":"string"}]


hub_id: profetize/kirsten_v4
license: []
language: []
config_name: default
column_names: ["Filename","URL","Content"]
features:
[{"name":"Filename","dtype":"string"},{"name":"URL","dtype":"string"},{"name":"Content","dtype":"string"}]


hub_id: ImagenHub/Multi_Subject_Driven_Image_Generation
license: []
language: []
config_name: default
column_names: ["prompt","concept1","concept2","uid"]
tags:
["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","arxiv:2310.01596","region:us","croissant"]

features:
[{"name":"prompt","dtype":"string"},{"name":"concept1","dtype":"string"},{"name":"concept2","dtype":"string"},{"name":"uid","dtype":"int64"}]


hub_id: glacierscopessegmentation/scopes
license: []
language: []
config_name: default
column_names: ["image","label","img_path","mask_path"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":"image"},{"name":"img_path","dtype":"string"},{"name":"mask_path","dtype":"string"}]


hub_id: liyucheng/novel_metaphor
license: []
language: []
config_name: default
column_names: ["id","words","lemmas","poses","metaphor_classes","novel_score"]
features:
[{"name":"id","dtype":"string"},{"name":"words","sequence":"string"},{"name":"lemmas","sequence":"string"},{"name":"poses","sequence":"string"},{"name":"metaphor_classes","sequence":"int64"},{"name":"novel_score","sequence":"float64"}]


hub_id: dongyoung4091/hh-generated_flan_t5_rx_xl_all
license: []
language: []
config_name: default
column_names:
["response","prompt","model_A","model_B","external_rm1","external_rm2","RM_enough-detail","RM_fail-to-consider-context","RM_readability","zeroshot_helpfulness","zeroshot_specificity","zeroshot_intent","zeroshot_factuality","zeroshot_easy-to-understand","zeroshot_relevance","zeroshot_readability","zeroshot_enough-detail","zeroshot_biased:","zeroshot_fail-to-consider-individual-preferences","zeroshot_repetetive","zeroshot_fail-to-consider-context","zeroshot_too-long"]

features:
[{"name":"response","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"model_A","dtype":"float64"},{"name":"model_B","dtype":"float64"},{"name":"external_rm1","dtype":"float64"},{"name":"external_rm2","dtype":"float64"},{"name":"RM_enough-detail","dtype":"float64"},{"name":"RM_fail-to-consider-context","dtype":"float64"},{"name":"RM_readability","dtype":"float64"},{"name":"zeroshot_helpfulness","dtype":"float64"},{"name":"zeroshot_specificity","dtype":"float64"},{"name":"zeroshot_intent","dtype":"float64"},{"name":"zeroshot_factuality","dtype":"float64"},{"name":"zeroshot_easy-to-understand","dtype":"float64"},{"name":"zeroshot_relevance","dtype":"float64"},{"name":"zeroshot_readability","dtype":"float64"},{"name":"zeroshot_enough-detail","dtype":"float64"},{"name":"zeroshot_biased:","dtype":"float64"},{"name":"zeroshot_fail-to-consider-individual-preferences","dtype":"float64"},{"name":"zeroshot_repetetive","dtype":"float64"},{"name":"zeroshot_fail-to-consider-context","dtype":"float64"},{"name":"zeroshot_too-long","dtype":"float64"}]


hub_id: dongyoung4091/hh-rlhf_with_features_rx
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: hjerpe/github-kubeflow-issues
license: []
language: ["en"]
config_name: default
tags:
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ame":"draft","dtype":"bool"},{"name":"pull_request","struct":[{"name":"url","dtype":"string"},{"name":"html_url","dtype":"string"},{"name":"diff_url","dtype":"string"},{"name":"patch_url","dtype":"string"},{"name":"merged_at","dtype":"timestamp[s]"}]},{"name":"is_pull_request","dtype":"bool"}]


hub_id: smart-dashcam/motorcycle-accident-driving-datasets
license: ["other"]
language: ["en"]
config_name: default
column_names: ["filename","case","duration"]
tags:
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features:
[{"name":"filename","dtype":"string"},{"name":"case","dtype":"string"},{"name":"duration","dtype":"float"}]


hub_id: pszemraj/simple_wikipedia_LM
license: ["apache-2.0"]
language: ["en"]
config_name: original
column_names: ["id","url","title","text"]
tags:
["task_categories:text-generation","task_categories:fill-mask","source_datasets:pszemraj/simple_wikipedia","language:en","license:apache-2.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: tinhpx2911/wiki-vn-process
license: []
language: []
config_name: default
column_names: ["text","title","categories"]
features:
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hub_id: nayohan/OIG-small-chip2-ko_ppl
license: []
language: []
config_name: default
column_names: ["user","chip2","index","user_translated","chip2_translated","ppl","len"]
features:
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hub_id: Gummybear05/Y_speed
license: []
language: []
config_name: default
column_names:
["audio","text","scriptId","fileNm","recrdTime","recrdQuality","recrdDt","scriptSetNo","recrdEnvrn","colctUnitCode","cityCode","recrdUnit","convrsThema","gender","recorderId","age"]

features:
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hub_id: sngsfydy/Messidor2_except_0
tags: ["size_categories:n<1K","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"1","1":"2","2":"3","3":"4"}}}}]


hub_id: jmgb0127/FronxOwnerManual
license: []
language: []
config_name: default
column_names: ["context","question","answer","__index_level_0__"]
features:
[{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: DRXD1000/Dolly-15k-German
license: ["cc-by-3.0"]
language: ["de"]
config_name: default
column_names: ["instruction_de","context_de","response_de","category"]
tags:
["task_categories:question-answering","task_categories:summarization","task_categories:text-generation","language:de","license:cc-by-3.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"instruction_de","dtype":"string"},{"name":"context_de","dtype":"string"},{"name":"response_de","dtype":"string"},{"name":"category","dtype":"string"}]


hub_id: cyrilzhang/TinyStories-ascii
license: ["cdla-sharing-1.0"]
language: []
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["license:cdla-sharing-1.0","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: K-Monitor/kmdb_base
license: []
language: ["hu"]
config_name: default
tags:
["language:hu","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["news_id","title","source_url","kmdb_url","newspaper","pub_time","authors","text","meta_keywords","meta_description","url","kmonitor_title","publish_date","kmonitor_description","kmonitor_places","kmonitor_persons","kmonitor_others","kmonitor_institutions"]

features:
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hub_id: boapps/kmdb_classification
license: []
language: []
config_name: default
column_names:
["text","title","description","keywords","label","url","date","is_hand_annoted","score","title_score"]

features:
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hub_id: miazhao/prm800k_processed_preference
license: []
language: []
config_name: default
column_names: ["instruction","responses","chosen","rejected"]
features:
[{"name":"instruction","dtype":"string"},{"name":"responses","sequence":"string"},{"name":"chosen","dtype":"string"},{"name":"rejected","dtype":"string"}]


hub_id: alvin319/semantic-memorization-partial-2023-09-03
license: ["mit"]
language: []
config_name: default
tags:
["license:mit","size_categories:10M<n<100M","parquet","tabular","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["sequence_id","tokens","memorized_frequencies","non_memorized_frequencies","memorization_score","sequence_frequency"]

features:
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hub_id: FanChen0116/bus_few35_front
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","tokens","labels","request_slot"]
features:
[{"name":"id","dtype":"int64"},{"name":"tokens","sequence":"string"},{"name":"labels","sequence":{"class_label":{"names":{"0":"O","1":"I-from_location","2":"B-from_location","3":"B-leaving_date","4":"I-leaving_date","5":"I-to_location","6":"B-to_location"}}}},{"name":"request_slot","sequence":"string"}]


hub_id: wasertech/OneOS
license: ["cc0-1.0"]
language: ["en","fr"]
config_name: default
column_names: ["messages"]
features: [{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]
tags:
["language:en","language:fr","license:cc0-1.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","code","bash","python","Web Search","Wikipedia","NLU","croissant"]


hub_id: if001/aozorabunko-clean-sin
license: ["cc-by-4.0"]
language: ["ja"]
config_name: default
column_names: ["text","footnote","meta"]
tags:
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features:
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hub_id: harouzie/vi_question_generation
license: ["mit"]
language: ["vi"]
config_name: default
column_names: ["context","question","answers","id"]
tags:
["task_categories:question-answering","task_categories:text2text-generation","language:vi","license:mit","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answers","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: jschew39/generadai-sample
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["item","description","ad"]
features:
[{"name":"item","dtype":"string"},{"name":"description","dtype":"string"},{"name":"ad","dtype":"string"}]


hub_id: jtatman/orca_minis_uncensored_squad_format
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["id","title","context","question","answers"]
tags:
["task_categories:question-answering","language:en","license:mit","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","squad","orca","subset","refactor","uncensored","qa","questions","croissant"]

features:
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hub_id: rizerphe/glaive-function-calling-v2-llama
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["task_categories:text-generation","language:en","license:cc-by-sa-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: Vikhrmodels/habr_qa_sbs
license: ["apache-2.0"]
language: ["ru"]
config_name: default
column_names: ["question","best","bad"]
tags:
["task_categories:question-answering","task_categories:text-generation","language:ru","license:apache-2.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","code","finance","croissant"]

features:
[{"name":"question","dtype":"string"},{"name":"best","dtype":"string"},{"name":"bad","dtype":"string"}]


hub_id: nikchar/konstantinaki_paper_test_top_5
license: []
language: []
config_name: default
column_names: ["label","claim","evidence_wiki_url","text","retrieved_evidence","retrieved_evidence_text"]
features:
[{"name":"label","dtype":"string"},{"name":"claim","dtype":"string"},{"name":"evidence_wiki_url","dtype":"string"},{"name":"text","dtype":"string"},{"name":"retrieved_evidence","sequence":"string"},{"name":"retrieved_evidence_text","sequence":"string"}]


hub_id: antolin/codetrans_interduplication
license: []
language: []
config_name: default
column_names: ["id_within_dataset","snippet","tokens","cs","split_within_dataset","is_duplicated"]
features:
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hub_id: quocanh34/dragon_trans
license: []
language: []
config_name: default
column_names:
["id","sentence","intent","sentence_annotation","entities","file","audio","origin_transcription","sentence_norm","dragon_prediction"]

features:
[{"name":"id","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"intent","dtype":"string"},{"name":"sentence_annotation","dtype":"string"},{"name":"entities","list":[{"name":"type","dtype":"string"},{"name":"filler","dtype":"string"}]},{"name":"file","dtype":"string"},{"name":"audio","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"origin_transcription","dtype":"string"},{"name":"sentence_norm","dtype":"string"},{"name":"dragon_prediction","sequence":"string"}]


hub_id: frankier/multiscale_rt_critics_subsets
license: []
language: []
config_name: rt_critics_one
column_names:
["movie_title","publisher_name","critic_name","text","review_score","grade_type","orig_num","orig_denom","includes_zero","label","scale_points","multiplier"]

features:
[{"name":"movie_title","dtype":"string"},{"name":"publisher_name","dtype":"string"},{"name":"critic_name","dtype":"string"},{"name":"text","dtype":"string"},{"name":"review_score","dtype":"string"},{"name":"grade_type","dtype":"string"},{"name":"orig_num","dtype":"float32"},{"name":"orig_denom","dtype":"float32"},{"name":"includes_zero","dtype":"bool"},{"name":"label","dtype":"uint8"},{"name":"scale_points","dtype":"uint8"},{"name":"multiplier","dtype":"uint8"}]


hub_id: legacy107/covidqa-unique-context
license: []
language: ["en"]
config_name: default
column_names: ["document_id","context","question","id","answer","answer_start"]
tags:
["task_categories:question-answering","language:en","size_categories:1K<n<10K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","medical","croissant"]

features:
[{"name":"document_id","dtype":"int64"},{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"id","dtype":"int64"},{"name":"answer","dtype":"string"},{"name":"answer_start","dtype":"int64"}]


hub_id: quocanh34/results_dragonswing
license: []
language: []
config_name: default
column_names:
["id","sentence","intent","sentence_annotation","entities","file","audio","origin_transcription","sentence_norm","dragon_prediction","dragon_norm"]

features:
[{"name":"id","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"intent","dtype":"string"},{"name":"sentence_annotation","dtype":"string"},{"name":"entities","list":[{"name":"type","dtype":"string"},{"name":"filler","dtype":"string"}]},{"name":"file","dtype":"string"},{"name":"audio","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"origin_transcription","dtype":"string"},{"name":"sentence_norm","dtype":"string"},{"name":"dragon_prediction","sequence":"string"},{"name":"dragon_norm","dtype":"string"}]


hub_id: ZaNioxX/DocILE_10_5_ImageClassification_donut
license: []
language: []
config_name: default
column_names: ["image","label","ground_truth"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"credit_note","1":"debit_note","2":"order","3":"proforma","4":"purchase_order","5":"receipt","6":"sales_order","7":"tax_invoice","8":"utility_bill"}}}},{"name":"ground_truth","dtype":"string"}]


hub_id: BadreddineHug/LayoutLMv3_dataset_5
license: []
language: []
config_name: default
column_names: ["id","image","bboxes","ner_tags","tokens"]
features:
[{"name":"id","dtype":"string"},{"name":"image","dtype":"image"},{"name":"bboxes","sequence":{"sequence":"int64"}},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"NumFa","2":"Fourniss","3":"DateFa","4":"TotalHT","5":"TVA","6":"TotalTTc"}}}},{"name":"tokens","sequence":"string"}]


hub_id: Niwat/test1
license: ["wtfpl"]
language: []
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["license:wtfpl","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: dot-ammar/AR-dotless-small
license: []
language: ["ar"]
config_name: default
column_names: ["clean","dotless"]
features: [{"name":"clean","dtype":"string"},{"name":"dotless","dtype":"string"}]
tags:
["task_categories:translation","language:ar","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: bjoernp/oasst25-08-23-filtered
license: []
language: []
config_name: default
column_names: ["conversation","system_message"]
features:
[{"name":"conversation","list":[{"name":"context","dtype":"null"},{"name":"creativity","dtype":"float64"},{"name":"humor","dtype":"float64"},{"name":"lang","dtype":"string"},{"name":"quality","dtype":"float64"},{"name":"role","dtype":"string"},{"name":"text","dtype":"string"}]},{"name":"system_message","dtype":"null"}]


hub_id: kushalps/mit-code-vit-ds2
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"1dAVb","1":"AF","2":"LBBB","3":"RBBB","4":"SB","5":"ST"}}}}]


hub_id: volvoDon/petrology-sections
license: ["afl-3.0"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["license:afl-3.0","size_categories:n<1K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"garnet","1":"kayanite","2":"olivine","3":"sillimanite","4":"staurolite","5":"titanite","6":"zircon"}}}}]


hub_id: sngsfydy/aptos_gaussian_filtered
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"Mild","1":"Moderate","2":"No_DR","3":"Proliferate_DR","4":"Severe"}}}}]


hub_id: LeoLM/German_Poems
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["prompt","topic","poem"]
features:
[{"name":"prompt","dtype":"string"},{"name":"topic","dtype":"string"},{"name":"poem","dtype":"string"}]


hub_id: LeoLM/German_Songs
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["prompt","analysis_prompt","topic","song","analysis"]
features:
[{"name":"prompt","dtype":"string"},{"name":"analysis_prompt","dtype":"string"},{"name":"topic","dtype":"string"},{"name":"song","dtype":"string"},{"name":"analysis","dtype":"string"}]


hub_id: lonestar108/enlightenedllm
license: ["openrail"]
language: ["en"]
config_name: default
column_names: ["instruction","output"]
features: [{"name":"instruction","dtype":"string"},{"name":"output","dtype":"string"}]
tags:
["task_categories:text-generation","language:en","license:openrail","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","religion","spirituality","croissant"]


hub_id: aqubed/kub_tickets_small
license: []
language: []
config_name: default
column_names:
["number","title","state","created_at","updated_at","closed_at","assignees","labels","reporter","comments","events"]

features:
[{"name":"number","dtype":"int64"},{"name":"title","dtype":"string"},{"name":"state","dtype":"string"},{"name":"created_at","dtype":"string"},{"name":"updated_at","dtype":"string"},{"name":"closed_at","dtype":"string"},{"name":"assignees","sequence":"string"},{"name":"labels","sequence":"string"},{"name":"reporter","dtype":"string"},{"name":"comments","list":[{"name":"body","dtype":"string"},{"name":"created_at","dtype":"string"}]},{"name":"events","list":[{"name":"author","dtype":"string"},{"name":"created_at","dtype":"string"},{"name":"type","dtype":"string"}]}]


hub_id: edmundtsou/keywords_daily_dialog
license: []
language: []
config_name: default
column_names: ["dialog","ids","keywords"]
features:
[{"name":"dialog","sequence":"string"},{"name":"ids","dtype":"int64"},{"name":"keywords","sequence":{"sequence":"string"}}]


hub_id: KhalfounMehdi/mura_dataset_processed_224px_train_val_with_labels
license: []
language: []
config_name: default
column_names: ["image","label","labels"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"abnormal","1":"normal"}}}},{"name":"labels","dtype":"int64"}]


hub_id: edmundtsou/keywords_daily_dialog2
license: []
language: []
config_name: default
column_names: ["dialog","ids","keywords"]
features:
[{"name":"dialog","sequence":"string"},{"name":"ids","dtype":"int64"},{"name":"keywords","sequence":"string"}]


hub_id: lohleonard93/physics4kids
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["topics","explain","simplified"]
features:
[{"name":"topics","dtype":"string"},{"name":"explain","dtype":"string"},{"name":"simplified","dtype":"string"}]


hub_id: wsin/tobasesentences
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["sentence","base base_sentences","base_sentences"]
features:
[{"name":"sentence","dtype":"string"},{"name":"base base_sentences","dtype":"string"},{"name":"base_sentences","dtype":"string"}]


hub_id: sachithgunasekara/LaMini-LM-dataset-TheBloke-h2ogpt-falcon-40b-v2-GGML-eval-llama2
license: []
language: []
config_name: default
column_names: ["instruction","source","response","llama2_status","llama2_rating","llama2_reason"]
features:
[{"name":"instruction","dtype":"string"},{"name":"source","dtype":"string"},{"name":"response","dtype":"string"},{"name":"llama2_status","dtype":"string"},{"name":"llama2_rating","dtype":"string"},{"name":"llama2_reason","dtype":"string"}]


hub_id: tyzhu/squad_instruction_v1
license: []
language: []
config_name: default
column_names: ["inputs","targets","question","context","answers","id"]
features:
[{"name":"inputs","dtype":"string"},{"name":"targets","dtype":"string"},{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"answers","struct":[{"name":"answer_start","sequence":"int64"},{"name":"text","sequence":"string"}]},{"name":"id","dtype":"string"}]


hub_id: foxxy-hm/slu-augmented-data
license: []
language: []
config_name: default
column_names: ["speech","sampling_rate","target_text"]
features:
[{"name":"speech","sequence":"float64"},{"name":"sampling_rate","dtype":"int64"},{"name":"target_text","dtype":"string"}]


hub_id: alexandrainst/nordjylland-news-image-captioning
license: ["apache-2.0"]
language: ["da"]
config_name: default
column_names: ["image","caption"]
features: [{"name":"image","dtype":"image"},{"name":"caption","dtype":"string"}]
tags:
["task_categories:image-to-text","task_categories:zero-shot-image-classification","task_categories:feature-extraction","task_ids:image-captioning","language:da","license:apache-2.0","size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: EliKet/miumiu
license: []
language: []
config_name: default
column_names: ["image","image_name","text"]
features:
[{"name":"image","dtype":"image"},{"name":"image_name","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: QLM78910/funsd-zh
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["lang","version","split","documents"]
features:
[{"name":"lang","dtype":"string"},{"name":"version","dtype":"string"},{"name":"split","dtype":"string"},{"name":"documents","list":[{"name":"id","dtype":"string"},{"name":"uid","dtype":"string"},{"name":"document","list":[{"name":"box","sequence":"int64"},{"name":"text","dtype":"string"},{"name":"label","dtype":"string"},{"name":"words","list":[{"name":"box","sequence":"int64"},{"name":"text","dtype":"string"}]},{"name":"linking","sequence":{"sequence":"int64"}},{"name":"id","dtype":"int64"}]},{"name":"img","struct":[{"name":"fname","dtype":"string"},{"name":"width","dtype":"int64"},{"name":"height","dtype":"int64"}]}]}]


hub_id: sachithgunasekara/LaMini-LM-dataset-TheBloke-h2ogpt-falcon-40b-v2-GGML-eval-llama2-gpt4
license: []
language: []
config_name: default
column_names:
["instruction","source","response","llama2_status","llama2_rating","llama2_reason","gpt4_status","gpt4_rating","gpt4_reason"]

features:
[{"name":"instruction","dtype":"string"},{"name":"source","dtype":"string"},{"name":"response","dtype":"string"},{"name":"llama2_status","dtype":"string"},{"name":"llama2_rating","dtype":"string"},{"name":"llama2_reason","dtype":"string"},{"name":"gpt4_status","dtype":"string"},{"name":"gpt4_rating","dtype":"string"},{"name":"gpt4_reason","dtype":"string"}]


hub_id: PlenitudeAI/simpsons_prompt_lines
license: []
language: []
config_name: default
column_names: ["previous","character","line","text"]
features:
[{"name":"previous","dtype":"string"},{"name":"character","dtype":"string"},{"name":"line","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: NgThVinh/dsc_model
license: []
language: []
config_name: default
column_names: ["document","claim","label"]
features:
[{"name":"document","dtype":"string"},{"name":"claim","dtype":"string"},{"name":"label","dtype":"string"}]


hub_id: mattymchen/lrs3-test
license: []
language: []
config_name: default
column_names: ["idx","audio","video","label"]
features:
[{"name":"idx","dtype":"int64"},{"name":"audio","sequence":"int16"},{"name":"video","sequence":{"sequence":{"sequence":"uint8"}}},{"name":"label","dtype":"string"}]


hub_id: bratzzie/gametiles
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"images"}}}}]


hub_id: antolin/python-150_interduplication
license: []
language: []
config_name: default
column_names: ["id_within_dataset","snippet","tokens","nl","split_within_dataset","is_duplicated"]
features:
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hub_id: LabHC/bias_in_bios
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["hard_text","profession","gender"]
tags:
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features:
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hub_id: mHossain/text_summary_v2
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Unnamed: 0","text","summary"]
features:
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hub_id: lgaalves/camel-ai-physics
license: ["cc-by-nc-4.0"]
language: ["en"]
config_name: default
column_names: ["role_1","topic;","sub_topic","message_1","message_2"]
tags:
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hub_id: quocanh34/data_for_synthesis
license: []
language: []
config_name: default
column_names:
["id","sentence","intent","sentence_annotation","entities","file","audio","origin_transcription","sentence_norm","w2v2_large_transcription","wer"]

features:
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hub_id: ebony59/AO3_fandom_chatbot_1to1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["conversation"]
features:
[{"name":"conversation","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: mespinosami/sen12mscr
license: []
language: []
config_name: default
column_names: ["s1","s2","s2_cloudy","text_prompt"]
features:
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hub_id: syntaxshill/arpa-aya
license: ["artistic-2.0"]
language: []
config_name: default
column_names: ["inputs","targets"]
features: [{"name":"inputs","dtype":"string"},{"name":"targets","dtype":"string"}]
tags:
["license:artistic-2.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: arbml/belebele_arabic
license: []
language: []
config_name: default
column_names:
["link","question_number","flores_passage","question","mc_answer1","mc_answer2","mc_answer3","mc_answer4","correct_answer_num","dialect","ds"]

features:
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hub_id: griffin/straight_dense_summ
license: []
language: []
config_name: default
column_names: ["id","task","prompt","completion"]
features:
[{"name":"id","dtype":"string"},{"name":"task","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"completion","dtype":"string"}]


hub_id: irodkin/multiview_panohead
license: []
language: []
config_name: default
column_names: ["image","view_45","view_90","view_180","view_270","view_above"]
features:
[{"name":"image","dtype":"image"},{"name":"view_45","dtype":"image"},{"name":"view_90","dtype":"image"},{"name":"view_180","dtype":"image"},{"name":"view_270","dtype":"image"},{"name":"view_above","dtype":"image"}]


hub_id: danjacobellis/imagenet_batched_64
license: []
language: []
config_name: default
column_names: ["img_batch","label_batch","width","height"]
tags:
["size_categories:10K<n<100K","parquet","image","tabular","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"img_batch","list":[{"name":"bytes","dtype":"binary"},{"name":"path","dtype":"null"}]},{"name":"label_batch","sequence":"int64"},{"name":"width","dtype":"int64"},{"name":"height","dtype":"int64"}]


hub_id: rmadiraju/rm-cr-search
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["instruction","context","response","text"]
features:
[{"name":"instruction","dtype":"string"},{"name":"context","dtype":"string"},{"name":"response","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: anujsahani01/Codegen_tokenized
license: ["mit"]
language: []
config_name: default
column_names: ["input_ids","attention_mask","labels"]
tags:
["license:mit","size_categories:10K<n<100K","parquet","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: open-web-math/open-web-math
license: []
language: []
config_name: default
column_names: ["url","text","date","metadata"]
tags:
["size_categories:1B<n<10B","parquet","image","text","datasets","dask","mlcroissant","arxiv:2310.06786","region:us","croissant"]

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


hub_id: jtatman/civil_comments_hatebert
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["text","text_masked","text_replaced"]
tags:
["task_categories:text-classification","task_categories:text2text-generation","task_categories:fill-mask","language:en","license:mit","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","masked","mask-scored","comment scoring","masked-model","croissant"]

features:
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hub_id: ImagenHub/DreamBooth_Concepts
license: []
language: []
config_name: default
column_names: ["image","subject","identifier"]
features:
[{"name":"image","dtype":"image"},{"name":"subject","dtype":"string"},{"name":"identifier","dtype":"string"}]


hub_id: FreedomIntelligence/Evol-Instruct-Arabic-GPT4
license: ["apache-2.0"]
language: ["ar"]
config_name: default
column_names: ["conversations","id"]
tags:
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features:
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hub_id: serbog/esco_occupations_details_multilingual
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: ImagenHub/Subject_Driven_Image_Generation
license: []
language: []
config_name: default
column_names: ["prompt","subject","uid","subject_id"]
tags:
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features:
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hub_id: serbog/job_matcher_15k_per_example_llama2
license: []
language: []
config_name: default
column_names: ["instruction","input","responses"]
features:
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hub_id: pbaoo2705/processed_dataset_v2
license: []
language: []
config_name: default
column_names: ["pubid","question","context","long_answer","final_decision","text"]
features:
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hub_id: quocanh34/data_for_synthesis_filtered_with_norm
license: []
language: []
config_name: default
column_names:
["id","sentence","intent","sentence_annotation","entities","file","audio","origin_transcription","sentence_norm","w2v2_large_transcription","wer","entities_norm"]

features:
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hub_id: ift/handwriting_forms
license: ["openrail"]
language: ["en"]
config_name: default
column_names: ["image","ground_truth"]
features: [{"name":"image","dtype":"image"},{"name":"ground_truth","dtype":"string"}]
tags:
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hub_id: tingchih/v1
license: []
language: []
config_name: default
column_names: ["Documents","Entailment_Claims","Neutral_Claims","Contradiction_Claims","Summary_GT"]
features:
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hub_id: Vrushali/final_chat7b
license: []
language: []
config_name: default
column_names: ["Query","Answer","text"]
features:
[{"name":"Query","dtype":"string"},{"name":"Answer","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: nzindoc/dataset-multiple-myeloma
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["instruction","input","answer","text"]
features:
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hub_id: SurgeGlobal/LaMini
license: []
language: ["en"]
config_name: default
tags:
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column_names:
["instruction","source","response","llama2_status","llama2_rating","llama2_reason","gpt4_status","gpt4_rating","gpt4_reason","falcon_status","falcon_rating","falcon_reason"]

features:
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hub_id: TenzinGayche/t5_predata_nocs
license: []
language: []
config_name: default
column_names: ["file_name","uni","wylie","url","dept","timestamp","__index_level_0__"]
features:
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hub_id: erfanzar/GPT4-8K
license: []
language: ["en"]
config_name: default
column_names: ["dialogs","user","assistant","llama2_prompt"]
tags:
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features:
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hub_id: winterForestStump/10-K_sec_filings
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: malteee/SynTruckObjDet
license: []
language: []
config_name: default
column_names: ["image","mask","bbox"]
features:
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hub_id: quocanh34/data_for_synthesis_with_entities_align
license: []
language: []
config_name: default
column_names:
["id","sentence","intent","sentence_annotation","entities","file","audio","origin_transcription","sentence_norm","w2v2_large_transcription","wer","entities_norm","entities_align"]

features:
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hub_id: legacy107/bioasq10b-factoid
license: []
language: ["en"]
config_name: default
column_names: ["id","question","long_answer","answer","context"]
tags:
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features:
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hub_id: RikRaes/CV_13_FT_75_25_1
license: []
language: []
config_name: default
column_names:
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hub_id: P1ayer-1/isbndb-full-database
license: []
language: []
config_name: default
column_names: ["title","authors","language","title_long","date_published","isbn","isbn13"]
features:
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hub_id: quocanh34/test_synthesis_data
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["audio","transcription"]
features:
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hub_id: vikp/pypi_raw
license: []
language: []
config_name: default
column_names: ["code","package","path","filename"]
features:
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hub_id: AdamCodd/emotion-balanced
license: ["other"]
language: ["en"]
config_name: unsplit
column_names: ["text","label"]
tags:
["task_categories:text-classification","task_ids:multi-class-classification","annotations_creators:machine-generated","language_creators:machine-generated","multilinguality:monolingual","source_datasets:original","language:en","license:other","size_categories:10K<n<100K","json","text","datasets","pandas","mlcroissant","region:us","emotion-classification","croissant"]


hub_id: mespinosami/synthetic-cloud-removal
license: []
language: []
config_name: default
column_names: ["image","cloudy","text_prompt"]
features:
[{"name":"image","dtype":"image"},{"name":"cloudy","dtype":"image"},{"name":"text_prompt","dtype":"string"}]


hub_id: arbml/alpagasus_cleaned_ar_reviewed
license: []
language: []
config_name: default
column_names: ["input_en","index","instruction_en","output","output_en","instruction","input"]
features:
[{"name":"input_en","dtype":"string"},{"name":"index","dtype":"string"},{"name":"instruction_en","dtype":"string"},{"name":"output","dtype":"string"},{"name":"output_en","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"input","dtype":"string"}]


hub_id: vikp/pypi_labeled
license: []
language: []
config_name: default
column_names: ["code","package","path","filename","parsed_code","quality_prob","learning_prob"]
features:
[{"name":"code","dtype":"string"},{"name":"package","dtype":"string"},{"name":"path","dtype":"string"},{"name":"filename","dtype":"string"},{"name":"parsed_code","dtype":"string"},{"name":"quality_prob","dtype":"float64"},{"name":"learning_prob","dtype":"float64"}]


hub_id: jtatman/jigsaw_hatebert
license: []
language: []
config_name: default
column_names:
["text","text_masked","text_replaced","asian","atheist","bisexual","black","buddhist","christian","female","heterosexual","hindu","homosexual_gay_or_lesbian","intellectual_or_learning_disability","jewish","latino","male","muslim","other_disability","other_gender","other_race_or_ethnicity","other_religion","other_sexual_orientation","physical_disability","psychiatric_or_mental_illness","transgender","white","funny","wow","sad","likes","disagree","target","__index_level_0__"]

features:
[{"name":"text","dtype":"string"},{"name":"text_masked","dtype":"string"},{"name":"text_replaced","list":[{"name":"score","dtype":"float64"},{"name":"sequence","dtype":"string"},{"name":"token","dtype":"int64"},{"name":"token_str","dtype":"string"}]},{"name":"asian","dtype":"string"},{"name":"atheist","dtype":"string"},{"name":"bisexual","dtype":"string"},{"name":"black","dtype":"string"},{"name":"buddhist","dtype":"string"},{"name":"christian","dtype":"string"},{"name":"female","dtype":"string"},{"name":"heterosexual","dtype":"string"},{"name":"hindu","dtype":"string"},{"name":"homosexual_gay_or_lesbian","dtype":"string"},{"name":"intellectual_or_learning_disability","dtype":"string"},{"name":"jewish","dtype":"string"},{"name":"latino","dtype":"string"},{"name":"male","dtype":"string"},{"name":"muslim","dtype":"string"},{"name":"other_disability","dtype":"string"},{"name":"other_gender","dtype":"string"},{"name":"other_race_or_ethnicity","dtype":"string"},{"name":"other_religion","dtype":"string"},{"name":"other_sexual_orientation","dtype":"string"},{"name":"physical_disability","dtype":"string"},{"name":"psychiatric_or_mental_illness","dtype":"string"},{"name":"transgender","dtype":"string"},{"name":"white","dtype":"string"},{"name":"funny","dtype":"string"},{"name":"wow","dtype":"string"},{"name":"sad","dtype":"string"},{"name":"likes","dtype":"string"},{"name":"disagree","dtype":"string"},{"name":"target","dtype":"int64"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: INo0121/low_quality_call_voice
license: []
language: []
config_name: default
column_names: ["audio","transcripts"]
features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"transcripts","dtype":"string"}]


hub_id: Augusto777/dmae-dataset
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"avanzada","1":"leve","2":"moderada","3":"no amd"}}}}]


hub_id: richardr1126/spider-context-validation-ranked-schema
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["index","db_id","question","db_info","ground_truth"]
tags:
["source_datasets:spider","language:en","license:cc-by-4.0","size_categories:1K<n<10K","json","text","datasets","mlcroissant","region:us","text-to-sql","SQL","spider","validation","eval","spider-eval","croissant"]

features:
[{"name":"index","dtype":"int32"},{"name":"db_id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"db_info","dtype":"string"},{"name":"ground_truth","dtype":"string"}]


hub_id: tingchih/Multi_News_fact_checking_claims
license: []
language: []
config_name: default
column_names: ["Documents","Claim","label"]
features:
[{"name":"Documents","sequence":"string"},{"name":"Claim","dtype":"string"},{"name":"label","dtype":"string"}]


hub_id: codecomplete/starcoderdata_0.001
license: []
language: []
config_name: default
column_names: ["repo_name","path","text"]
features:
[{"name":"repo_name","dtype":"string"},{"name":"path","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: nguyenthanhdo/dummy_alpaca
license: []
language: []
config_name: default
column_names: ["model_input","input","model_output","text"]
features:
[{"name":"model_input","dtype":"string"},{"name":"input","dtype":"string"},{"name":"model_output","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: health360/Healix-Shot
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["task_categories:text-classification","task_categories:text-generation","task_categories:text2text-generation","language:en","license:cc-by-4.0","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","region:us","chemistry","biology","medical","croissant"]


hub_id: Tverous/test
license: []
language: []
config_name: default
column_names: ["uid","premise","hypothesis","label","hyp_amr","hyp_linearized_amr"]
features:
[{"name":"uid","dtype":"string"},{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"hyp_amr","dtype":"string"},{"name":"hyp_linearized_amr","dtype":"string"}]


hub_id: quocanh34/test_synthesis_data_with_sentence_align
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["id","sentence","intent","sentence_annotation","entities","file","audio","origin_transcription","sentence_norm","w2v2_large_transcription","wer","entities_norm","sentence_align","entities_align"]

features:
[{"name":"id","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"intent","dtype":"string"},{"name":"sentence_annotation","dtype":"string"},{"name":"entities","list":[{"name":"type","dtype":"string"},{"name":"filler","dtype":"string"}]},{"name":"file","dtype":"string"},{"name":"audio","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"origin_transcription","dtype":"string"},{"name":"sentence_norm","dtype":"string"},{"name":"w2v2_large_transcription","dtype":"string"},{"name":"wer","dtype":"int64"},{"name":"entities_norm","list":[{"name":"filler","dtype":"string"},{"name":"type","dtype":"string"}]},{"name":"sentence_align","list":[{"name":"d","dtype":"string"},{"name":"idx","dtype":"int64"},{"name":"x0","dtype":"int64"},{"name":"x1","dtype":"int64"}]},{"name":"entities_align","dtype":"string"}]


hub_id: wofeishenling/train_mosei
license: []
language: []
config_name: default
column_names: ["transcription","speech","labels"]
features:
[{"name":"transcription","dtype":"string"},{"name":"speech","sequence":"float32"},{"name":"labels","dtype":"int64"}]


hub_id: chuyin0321/perimeter-sp500
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["symbol","security","gics_sector","gics_sub_industry"]
features:
[{"name":"symbol","dtype":"string"},{"name":"security","dtype":"string"},{"name":"gics_sector","dtype":"string"},{"name":"gics_sub_industry","dtype":"string"}]


hub_id: quocanh34/synthesis_data_v1
license: []
language: []
config_name: default
column_names: ["audio","transcription","idx"]
features:
[{"name":"audio","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"null"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"transcription","dtype":"string"},{"name":"idx","dtype":"int64"}]


hub_id: Tverous/anli-amr-amrlib
license: []
language: []
config_name: default
column_names: ["uid","premise","hypothesis","label","reason","linearized_amr"]
features:
[{"name":"uid","dtype":"string"},{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"entailment","1":"neutral","2":"contradiction"}}}},{"name":"reason","dtype":"string"},{"name":"linearized_amr","dtype":"string"}]


hub_id: erfanzar/UltraChat-Mixin
license: []
language: ["en","zh"]
config_name: default
column_names: ["dialog","user","assistant","system","id"]
tags:
["task_categories:summarization","task_categories:text-generation","task_categories:translation","task_categories:question-answering","language:en","language:zh","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","code","croissant"]

features:
[{"name":"dialog","sequence":"string"},{"name":"user","sequence":"string"},{"name":"assistant","sequence":"string"},{"name":"system","dtype":"string"},{"name":"id","dtype":"int64"}]


hub_id: erfanzar/UltraChat-Mini
license: []
language: []
config_name: default
column_names: ["dialog","user","assistant","system","id","llama2_prompt"]
features:
[{"name":"dialog","sequence":"string"},{"name":"user","sequence":"string"},{"name":"assistant","sequence":"string"},{"name":"system","dtype":"string"},{"name":"id","dtype":"int64"},{"name":"llama2_prompt","dtype":"string"}]


hub_id: MilanHrab/Kosice_nlp_speech2class
tags: ["parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["name_of_record","speech_array","sampling_rate","label","__index_level_0__"]
features:
[{"name":"name_of_record","dtype":"null"},{"name":"speech_array","dtype":"null"},{"name":"sampling_rate","dtype":"null"},{"name":"label","dtype":"null"},{"name":"__index_level_0__","dtype":"null"}]


hub_id: nayohan/koquality_raw
license: []
language: []
config_name: default
column_names: ["instruction","output","len","group"]
features:
[{"name":"instruction","dtype":"string"},{"name":"output","dtype":"string"},{"name":"len","dtype":"int64"},{"name":"group","dtype":"string"}]


hub_id: manu/project_gutenberg
license: []
language: ["fr","en","zh","pt","pl","nl","ru","sv","it","de","es"]
config_name: default
column_names: ["id","text"]
features: [{"name":"id","dtype":"string"},{"name":"text","dtype":"string"}]
tags:
["task_categories:text-generation","language:fr","language:en","language:zh","language:pt","language:pl","language:nl","language:ru","language:sv","language:it","language:de","language:es","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: narySt/CommitChronicle_valPretrained
license: []
language: []
config_name: default
column_names: ["message","model_input","input_ids","attention_mask","labels"]
features:
[{"name":"message","dtype":"string"},{"name":"model_input","dtype":"string"},{"name":"input_ids","sequence":"int64"},{"name":"attention_mask","sequence":"int64"},{"name":"labels","sequence":"int64"}]


hub_id: AiresPucrs/movielens-movies
license: ["other"]
language: ["en"]
config_name: default
column_names: ["movieId","title","genres"]
tags:
["language:en","license:other","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"movieId","dtype":"int64"},{"name":"title","dtype":"string"},{"name":"genres","dtype":"string"}]


hub_id: AiresPucrs/movielens-user-ratings
license: ["other"]
language: ["en"]
config_name: default
column_names: ["userId","movieId","rating","timestamp"]
tags:
["language:en","license:other","size_categories:100K<n<1M","parquet","tabular","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"userId","dtype":"int64"},{"name":"movieId","dtype":"int64"},{"name":"rating","dtype":"float64"},{"name":"timestamp","dtype":"int64"}]


hub_id: AiresPucrs/time-series-data
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["dates","product_id","sales"]
tags:
["language:en","license:apache-2.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"dates","dtype":"string"},{"name":"product_id","dtype":"string"},{"name":"sales","dtype":"float64"}]


hub_id: Tverous/demo-amrlib
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["uid","article","premise","image","hypothesis","label","linearized_amr"]
features:
[{"name":"uid","dtype":"string"},{"name":"article","sequence":"string"},{"name":"premise","dtype":"string"},{"name":"image","sequence":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"linearized_amr","dtype":"string"}]


hub_id: quocanh34/synthesis_data_v2
license: []
language: []
config_name: default
column_names: ["audio","transcription","id"]
features:
[{"name":"audio","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"null"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"transcription","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: lukasbraach/rwth_phoenix_weather_2014
tags: ["region:us"]
license: []
language: []
config_name: signerindependent
column_names: ["id","transcription","frames"]
features:
[{"name":"id","dtype":"string"},{"name":"transcription","dtype":"string"},{"name":"frames","sequence":"image"}]


hub_id: minoruskore/wlkjokj3454sd45sc45
license: ["other"]
language: []
config_name: default
column_names: ["Unnamed: 0","user_id","name","anime_id","anime","rating"]
tags:
["license:other","size_categories:10M<n<100M","parquet","tabular","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"Unnamed: 0","dtype":"int64"},{"name":"user_id","dtype":"int64"},{"name":"name","dtype":"string"},{"name":"anime_id","dtype":"int64"},{"name":"anime","dtype":"string"},{"name":"rating","dtype":"int64"}]


hub_id: usvsnsp/pile-test-sampled
license: []
language: []
config_name: default
column_names: ["sequence_id","memorization_score","tokens"]
features:
[{"name":"sequence_id","dtype":"int64"},{"name":"memorization_score","dtype":"float64"},{"name":"tokens","sequence":"int64"}]


hub_id: lhallee/BIOGRID_STRING
license: []
language: []
config_name: default
column_names: ["A","B","SeqA","SeqB"]
features:
[{"name":"A","dtype":"string"},{"name":"B","dtype":"string"},{"name":"SeqA","dtype":"string"},{"name":"SeqB","dtype":"string"}]


hub_id: TenzinGayche/TTS_nocs_pd_b1
license: []
language: []
config_name: default
column_names: ["input_ids","labels","path","speaker_embeddings"]
features:
[{"name":"input_ids","sequence":"int32"},{"name":"labels","sequence":{"sequence":"float32"}},{"name":"path","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"speaker_embeddings","sequence":"float32"}]


hub_id: quocanh34/soict_train_synthesis_dataset
license: []
language: []
config_name: default
column_names: ["audio","sentence_norm","id"]
features:
[{"name":"audio","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"sentence_norm","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: fluffbufff/fpd_class_obj_lvl
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"applique","1":"bag, wallet","2":"bead","3":"belt","4":"bow","5":"buckle","6":"cape","7":"cardigan","8":"coat","9":"collar","10":"dress","11":"epaulette","12":"flower","13":"fringe","14":"glasses","15":"glove","16":"hat","17":"headband, head covering, hair accessory","18":"hood","19":"jacket","20":"jumpsuit","21":"lapel","22":"leg warmer","23":"neckline","24":"pants","25":"pocket","26":"ribbon","27":"rivet","28":"ruffle","29":"scarf","30":"sequin","31":"shirt, blouse","32":"shoe","33":"shorts","34":"skirt","35":"sleeve","36":"sock","37":"sweater","38":"tassel","39":"tie","40":"tights, stockings","41":"top, t-shirt, sweatshirt","42":"umbrella","43":"vest","44":"watch","45":"zipper"}}}}]


hub_id: hynky/contract-summ
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["text","summary","instruction","__index_level_0__"]
features:
[{"name":"text","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: chuyin0321/earnings-stocks
license: []
language: []
config_name: default
column_names: ["symbol","date","eps_estimate","reported_eps","surprise"]
features:
[{"name":"symbol","dtype":"string"},{"name":"date","dtype":"timestamp[ns, tz=EST]"},{"name":"eps_estimate","dtype":"float64"},{"name":"reported_eps","dtype":"float64"},{"name":"surprise","dtype":"float64"}]


hub_id: chuyin0321/earnings-estimate-stocks
license: []
language: []
config_name: default
column_names:
["symbol","date","current_qtr","no_of_analysts_current_qtr","next_qtr","no_of_analysts_next_qtr","current_year","no_of_analysts_current_year","next_year","no_of_analysts_next_year","avg_estimate_current_qtr","avg_estimate_next_qtr","avg_estimate_current_year","avg_estimate_next_year","low_estimate_current_qtr","low_estimate_next_qtr","low_estimate_current_year","low_estimate_next_year","high_estimate_current_qtr","high_estimate_next_qtr","high_estimate_current_year","high_estimate_next_year","year_ago_eps_current_qtr","year_ago_eps_next_qtr","year_ago_eps_current_year","year_ago_eps_next_year"]

features:
[{"name":"symbol","dtype":"string"},{"name":"date","dtype":"string"},{"name":"current_qtr","dtype":"string"},{"name":"no_of_analysts_current_qtr","dtype":"int64"},{"name":"next_qtr","dtype":"string"},{"name":"no_of_analysts_next_qtr","dtype":"int64"},{"name":"current_year","dtype":"int64"},{"name":"no_of_analysts_current_year","dtype":"int64"},{"name":"next_year","dtype":"int64"},{"name":"no_of_analysts_next_year","dtype":"int64"},{"name":"avg_estimate_current_qtr","dtype":"float64"},{"name":"avg_estimate_next_qtr","dtype":"float64"},{"name":"avg_estimate_current_year","dtype":"float64"},{"name":"avg_estimate_next_year","dtype":"float64"},{"name":"low_estimate_current_qtr","dtype":"float64"},{"name":"low_estimate_next_qtr","dtype":"float64"},{"name":"low_estimate_current_year","dtype":"float64"},{"name":"low_estimate_next_year","dtype":"float64"},{"name":"high_estimate_current_qtr","dtype":"float64"},{"name":"high_estimate_next_qtr","dtype":"float64"},{"name":"high_estimate_current_year","dtype":"float64"},{"name":"high_estimate_next_year","dtype":"float64"},{"name":"year_ago_eps_current_qtr","dtype":"float64"},{"name":"year_ago_eps_next_qtr","dtype":"float64"},{"name":"year_ago_eps_current_year","dtype":"float64"},{"name":"year_ago_eps_next_year","dtype":"float64"}]


hub_id: chuyin0321/earnings-surprise-stocks
license: []
language: []
config_name: default
column_names:
["symbol","date","id","fiscal_qtr_end","date_reported","eps","consensus_forecast","percentage_surprise"]

features:
[{"name":"symbol","dtype":"string"},{"name":"date","dtype":"string"},{"name":"id","dtype":"int64"},{"name":"fiscal_qtr_end","dtype":"string"},{"name":"date_reported","dtype":"timestamp[ns]"},{"name":"eps","dtype":"float64"},{"name":"consensus_forecast","dtype":"string"},{"name":"percentage_surprise","dtype":"string"}]


hub_id: chuyin0321/eps-revisions-stocks
license: []
language: []
config_name: default
column_names:
["symbol","date","current_qtr","up_last_7_days_current_qtr","next_qtr","up_last_7_days_next_qtr","current_year","up_last_7_days_current_year","next_year","up_last_7_days_next_year","up_last_30_days_current_qtr","up_last_30_days_next_qtr","up_last_30_days_current_year","up_last_30_days_next_year","down_last_7_days_current_qtr","down_last_7_days_next_qtr","down_last_7_days_current_year","down_last_7_days_next_year","down_last_30_days_current_qtr","down_last_30_days_next_qtr","down_last_30_days_current_year","down_last_30_days_next_year"]

features:
[{"name":"symbol","dtype":"string"},{"name":"date","dtype":"string"},{"name":"current_qtr","dtype":"string"},{"name":"up_last_7_days_current_qtr","dtype":"int64"},{"name":"next_qtr","dtype":"string"},{"name":"up_last_7_days_next_qtr","dtype":"int64"},{"name":"current_year","dtype":"int64"},{"name":"up_last_7_days_current_year","dtype":"int64"},{"name":"next_year","dtype":"int64"},{"name":"up_last_7_days_next_year","dtype":"int64"},{"name":"up_last_30_days_current_qtr","dtype":"int64"},{"name":"up_last_30_days_next_qtr","dtype":"int64"},{"name":"up_last_30_days_current_year","dtype":"int64"},{"name":"up_last_30_days_next_year","dtype":"int64"},{"name":"down_last_7_days_current_qtr","dtype":"null"},{"name":"down_last_7_days_next_qtr","dtype":"null"},{"name":"down_last_7_days_current_year","dtype":"null"},{"name":"down_last_7_days_next_year","dtype":"null"},{"name":"down_last_30_days_current_qtr","dtype":"int64"},{"name":"down_last_30_days_next_qtr","dtype":"int64"},{"name":"down_last_30_days_current_year","dtype":"int64"},{"name":"down_last_30_days_next_year","dtype":"int64"}]


hub_id: chuyin0321/eps-trend-stocks
license: []
language: []
config_name: default
column_names:
["symbol","date","current_qtr","current_estimate_current_qtr","next_qtr","current_estimate_next_qtr","current_year","current_estimate_current_year","next_year","current_estimate_next_year","7_days_ago_current_qtr","7_days_ago_next_qtr","7_days_ago_current_year","7_days_ago_next_year","30_days_ago_current_qtr","30_days_ago_next_qtr","30_days_ago_current_year","30_days_ago_next_year","60_days_ago_current_qtr","60_days_ago_next_qtr","60_days_ago_current_year","60_days_ago_next_year","90_days_ago_current_qtr","90_days_ago_next_qtr","90_days_ago_current_year","90_days_ago_next_year"]

features:
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hub_id: chuyin0321/extended-trading-stocks
license: []
language: []
config_name: default
column_names: ["symbol","date","time","price","share_volume"]
features:
[{"name":"symbol","dtype":"string"},{"name":"date","dtype":"string"},{"name":"time","dtype":"string"},{"name":"price","dtype":"float64"},{"name":"share_volume","dtype":"string"}]


hub_id: chuyin0321/revenue-estimate-stocks
license: []
language: []
config_name: default
column_names:
["symbol","date","current_qtr","no_of_analysts_current_qtr","next_qtr","no_of_analysts_next_qtr","current_year","no_of_analysts_current_year","next_year","no_of_analysts_next_year","avg_estimate_current_qtr","avg_estimate_next_qtr","avg_estimate_current_year","avg_estimate_next_year","low_estimate_current_qtr","low_estimate_next_qtr","low_estimate_current_year","low_estimate_next_year","high_estimate_current_qtr","high_estimate_next_qtr","high_estimate_current_year","high_estimate_next_year","year_ago_sales_current_qtr","year_ago_sales_next_qtr","year_ago_sales_current_year","year_ago_sales_next_year","sales_growth_yearest_current_qtr","sales_growth_yearest_next_qtr","sales_growth_yearest_current_year","sales_growth_yearest_next_year"]

features:
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hub_id: chuyin0321/short-interest-stocks
license: []
language: []
config_name: default
column_names: ["symbol","date","id","settlement_date","interest","avg_daily_share_volume","days_to_cover"]
features:
[{"name":"symbol","dtype":"string"},{"name":"date","dtype":"string"},{"name":"id","dtype":"int64"},{"name":"settlement_date","dtype":"timestamp[ns]"},{"name":"interest","dtype":"float64"},{"name":"avg_daily_share_volume","dtype":"float64"},{"name":"days_to_cover","dtype":"float64"}]


hub_id: griffin/chain_of_density
license: []
language: []
config_name: unannotated
column_names:
["article","highlights","id","prediction","missing","model","num_tokens","num_entities","fusion","entity_density","inverse_lead_bias","extractive_density","extractive_coverage","unique_unigrams","unique_bigrams","unique_trigrams","rouge1","rouge2","rougeL","rougeLsum"]

features:
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hub_id: ImagenHub/Subject_Driven_Image_Editing
license: []
language: []
config_name: default
column_names: ["uid","image","subject"]
tags:
["size_categories:n<1K","parquet","image","text","datasets","pandas","mlcroissant","arxiv:2310.01596","region:us","croissant"]

features:
[{"name":"uid","dtype":"int64"},{"name":"image","dtype":"image"},{"name":"subject","dtype":"string"}]


hub_id: KyS/SpeakerEmbedding1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Speakers","Audio"]
features:
[{"name":"Speakers","dtype":"string"},{"name":"Audio","struct":[{"name":"array","sequence":"float64"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]}]


hub_id: TrainingDataPro/ripe-strawberries-detection
license: ["cc-by-nc-nd-4.0"]
language: ["en"]
config_name: default
column_names: ["id","name","image","mask","width","height","shapes"]
tags:
["task_categories:image-classification","task_categories:image-to-image","task_categories:object-detection","language:en","license:cc-by-nc-nd-4.0","region:us","code","biology"]

features:
[{"name":"id","dtype":"int32"},{"name":"name","dtype":"string"},{"name":"image","dtype":"image"},{"name":"mask","dtype":"image"},{"name":"width","dtype":"uint16"},{"name":"height","dtype":"uint16"},{"name":"shapes","sequence":[{"name":"label","dtype":{"class_label":{"names":{"0":"strawberry"}}}},{"name":"type","dtype":"string"},{"name":"points","sequence":{"sequence":"float32"}},{"name":"rotation","dtype":"float32"},{"name":"attributes","sequence":[{"name":"name","dtype":"string"},{"name":"text","dtype":"string"}]}]}]


hub_id: indiejoseph/wikipedia-zh-yue-filtered
license: ["cc-by-4.0"]
language: []
config_name: default
column_names: ["title","text"]
features: [{"name":"title","dtype":"string"},{"name":"text","dtype":"string"}]
tags:
["license:cc-by-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: Cherishh/cls-slu-aug-v1
license: []
language: []
config_name: default
column_names: ["text","label","input_ids","token_type_ids","attention_mask"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"Ki\u1ec3m tra t\u00ecnh tr\u1ea1ng thi\u1ebft b\u1ecb","1":"B\u1eadt thi\u1ebft b\u1ecb","2":"M\u1edf thi\u1ebft b\u1ecb","3":"\u0110\u00f3ng thi\u1ebft b\u1ecb","4":"Gi\u1ea3m \u0111\u1ed9 s\u00e1ng c\u1ee7a thi\u1ebft b\u1ecb","5":"T\u0103ng m\u1ee9c \u0111\u1ed9 c\u1ee7a thi\u1ebft b\u1ecb","6":"T\u0103ng \u0111\u1ed9 s\u00e1ng c\u1ee7a thi\u1ebft b\u1ecb","7":"T\u1eaft thi\u1ebft b\u1ecb","8":"T\u0103ng nhi\u1ec7t \u0111\u1ed9 c\u1ee7a thi\u1ebft b\u1ecb","9":"Gi\u1ea3m m\u1ee9c \u0111\u1ed9 c\u1ee7a thi\u1ebft b\u1ecb","10":"Gi\u1ea3m \u00e2m l\u01b0\u1ee3ng c\u1ee7a thi\u1ebft b\u1ecb","11":"Gi\u1ea3m nhi\u1ec7t \u0111\u1ed9 c\u1ee7a thi\u1ebft b\u1ecb","12":"T\u0103ng \u00e2m l\u01b0\u1ee3ng c\u1ee7a thi\u1ebft b\u1ecb","13":"H\u1ee7y ho\u1ea1t c\u1ea3nh","14":"K\u00edch ho\u1ea1t c\u1ea3nh"}}}},{"name":"input_ids","sequence":"int32"},{"name":"token_type_ids","sequence":"int8"},{"name":"attention_mask","sequence":"int8"}]


hub_id: SeyedAli/Persian-Text-NER
license: ["mit"]
language: ["fa"]
config_name: default
column_names: ["text","label","label_entity_word"]
tags:
["task_categories:token-classification","language:fa","license:mit","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":"string"},{"name":"label_entity_word","dtype":"string"}]


hub_id: dongyoung4091/hh-rlhf_with_features_flan_t5_large_flan_t5_zeroshot
license: []
language: []
config_name: default
column_names:
["chosen","rejected","helpfulness_chosen","helpfulness_rejected","specificity_chosen","specificity_rejected","intent_chosen","intent_rejected","factuality_chosen","factuality_rejected","easy-to-understand_chosen","easy-to-understand_rejected","relevance_chosen","relevance_rejected","readability_chosen","readability_rejected","enough-detail_chosen","enough-detail_rejected","biased:_chosen","biased:_rejected","fail-to-consider-individual-preferences_chosen","fail-to-consider-individual-preferences_rejected","repetetive_chosen","repetetive_rejected","fail-to-consider-context_chosen","fail-to-consider-context_rejected","too-long_chosen","too-long_rejected","human","assistant_chosen","assistant_rejected","log_score_chosen","log_score_rejected","labels","zeroshot_helpfulness_chosen","zeroshot_helpfulness_rejected","zeroshot_specificity_chosen","zeroshot_specificity_rejected","zeroshot_intent_chosen","zeroshot_intent_rejected","zeroshot_factuality_chosen","zeroshot_factuality_rejected","zeroshot_easy-to-understand_chosen","zeroshot_easy-to-understand_rejected","zeroshot_relevance_chosen","zeroshot_relevance_rejected","zeroshot_readability_chosen","zeroshot_readability_rejected","zeroshot_enough-detail_chosen","zeroshot_enough-detail_rejected","zeroshot_biased:_chosen","zeroshot_biased:_rejected","zeroshot_fail-to-consider-individual-preferences_chosen","zeroshot_fail-to-consider-individual-preferences_rejected","zeroshot_repetetive_chosen","zeroshot_repetetive_rejected","zeroshot_fail-to-consider-context_chosen","zeroshot_fail-to-consider-context_rejected","zeroshot_too-long_chosen","zeroshot_too-long_rejected"]

features:
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hub_id: dongyoung4091/hh-generated_flan_t5_large_flan_t5_zeroshot
license: []
language: []
config_name: default
column_names:
["prompt","response","zeroshot_helpfulness","zeroshot_specificity","zeroshot_intent","zeroshot_factuality","zeroshot_easy-to-understand","zeroshot_relevance","zeroshot_readability","zeroshot_enough-detail","zeroshot_biased:","zeroshot_fail-to-consider-individual-preferences","zeroshot_repetetive","zeroshot_fail-to-consider-context","zeroshot_too-long"]

features:
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hub_id: ASSERT-KTH/megadiff
license: []
language: ["code"]
config_name: default
column_names: ["diff","is_single_chunk","is_single_function","buggy_function","fixed_function"]
tags:
["language:code","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","arxiv:2108.04631","region:us","croissant"]

features:
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hub_id: TrainingDataPro/race-numbers-detection-and-ocr
license: ["cc-by-nc-nd-4.0"]
language: ["en"]
config_name: default
column_names: ["id","name","image","mask","width","height","shapes"]
tags:
["task_categories:image-to-text","task_categories:object-detection","language:en","license:cc-by-nc-nd-4.0","region:us","code","biology"]

features:
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hub_id: AiresPucrs/MNIST-digit
license: []
language: []
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hub_id: jtatman/wizard_alpaca_dolly_orca_uncensored_masked
license: []
language: []
config_name: default
column_names:
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hub_id: MU-NLPC/Calc-svamp
license: ["mit"]
language: ["en"]
config_name: original-splits
column_names: ["id","question","chain","result","result_float","equation","problem_type"]
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hub_id: linhqyy/large_ft_spkn55
license: []
language: []
config_name: default
column_names: ["id","pred_str","w2v2_baseline_norm"]
features:
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hub_id: Suchinthana/Databricks-Dolly-15k-si-en-mix
license: ["cc-by-sa-3.0"]
language: ["si","en"]
config_name: default
column_names: ["instruction","context","response","category"]
tags:
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hub_id: dongyoung4091/shp_with_features_20k_flan_t5_large_flan_t5_zeroshot
license: []
language: []
config_name: default
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hub_id: dongyoung4091/shp-generated_flan_t5_large_flan_t5_zeroshot
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hub_id: dariadaria/threads_reviews
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config_name: default
column_names: ["identifier","review_date","review_description","topic","sentiment"]
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hub_id: SeyedAli/Persian-Text-Emotion
license: ["mit"]
language: ["fa"]
config_name: default
column_names: ["text","label"]
features: [{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"}]
tags:
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hub_id: STomoya/nyannyan_blip2_captions
license: ["cc-by-nc-4.0"]
language: ["en"]
config_name: default
column_names: ["image","text"]
features: [{"name":"image","dtype":"image"},{"name":"text","dtype":"string"}]
tags:
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hub_id: SeyedAli/Persian-Text-Sentiment
license: ["mit"]
language: ["fa"]
config_name: default
column_names: ["text","label"]
features: [{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"}]
tags:
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hub_id: mirzaei2114/stackoverflowVQA-filtered-small
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["Id","PostTypeId","AcceptedAnswerId","Question","Answer","Image"]
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hub_id: MU-NLPC/Calc-mawps
license: ["mit"]
language: ["en"]
config_name: original-splits
column_names: ["id","question","chain","result","result_float","equation","expression"]
tags:
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hub_id: Minglii/v
license: []
language: []
config_name: default
column_names: ["data"]
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hub_id: NgThVinh/ValorantAgentVoiceLines
license: []
language: []
config_name: yoru
column_names: ["audio_name","audio_file","text"]
features:
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hub_id: dongyoung4091/shp_with_features_20k_flan_t5_large_external_rm1
license: []
language: []
config_name: default
column_names:
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hub_id: Minglii/w
license: []
language: []
config_name: default
column_names: ["data"]
features:
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hub_id: lyogavin/longer_training_max100k_v3
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["prompt","completion","source","__index_level_0__"]
features:
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hub_id: linhqyy/base_aug_syn_60_spkn_55
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["id","sentence","intent","sentence_annotation","entities","file","audio","origin_transcription","sentence_norm","w2v2_baseline_transcription","w2v2_baseline_norm"]

features:
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hub_id: sdadas/gpt-exams
license: ["cc-by-nc-sa-4.0"]
language: ["pl"]
config_name: default
column_names: ["_id","question","answer","domain"]
tags:
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features:
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hub_id: mlabonne/medical-mqca-fr
license: []
language: []
config_name: default
column_names: ["Specialite","Serie","Question","N_Question","Answer","instruction","output"]
features:
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hub_id: linhtran92/infer_55epoch_onValid
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["sentence","w2v2_baseline_transcription","w2v2_baseline_norm"]
features:
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hub_id: mirfan899/punjabi-ner
license: ["other"]
language: []
config_name: default
column_names: ["id","tokens","ner_tags"]
tags:
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features:
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hub_id: indra-inc/rvl_cdip_train600_valid100_ground_truth
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["Image_id","Image_raw","ground_truth"]
features:
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hub_id: fahmiaziz/dataset-donut-v1-receipt-200-img
license: ["openrail"]
language: ["en"]
config_name: default
column_names: ["image","ground_truth"]
features: [{"name":"image","dtype":"image"},{"name":"ground_truth","dtype":"string"}]
tags:
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hub_id: rb05751/reuters_articles
license: ["cc"]
language: []
config_name: default
column_names: ["title","body"]
features: [{"name":"title","dtype":"string"},{"name":"body","dtype":"string"}]
tags:
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hub_id: vikp/hydra_learning_labeled
license: []
language: []
config_name: default
column_names: ["unique_conversation_id","rendered","dataset_id","learning_prob"]
features:
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hub_id: madaanpulkit/facebook_flores_eng_hin_pan
license: []
language: []
config_name: default
column_names: ["sent","lang","label"]
features:
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hub_id: SkunkworksAI-shared/concatenated_1
license: []
language: []
config_name: default
column_names: ["text","conversation_id","dataset_id","unique_conversation_id"]
features:
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hub_id: ucalyptus/car_embeddings
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hub_id: P1ayer-1/isbndb-annas-textbook-meta
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language: []
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hub_id: dongyoung4091/shp-generated_flan_t5_large_external_rm1_large
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config_name: default
column_names: ["prompt","response","external_rm1"]
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hub_id: vikp/hydra_inst_labeled
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config_name: default
column_names: ["unique_conversation_id","rendered","dataset_id","inst_prob"]
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hub_id: serbog/job_listing_german_cleaned
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language: []
config_name: default
column_names: ["id","description","title","languages","cleaned_description","esco_codes"]
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hub_id: serbog/job_listing_german_cleaned_bert
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column_names: ["id","cleaned_description","title","C1","C2","C3","C4","C5","C6","C7","C8","C9"]
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hub_id: LabHC/moji
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config_name: default
column_names: ["text","label","sa"]
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hub_id: edbeeching/gia-dataset-parquet-debug
license: []
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config_name: mujoco-ant
column_names: ["continuous_observations","continuous_actions","rewards"]
tags:
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hub_id: edbeeching/gia-dataset-tokenized-debug
tags: ["size_categories:n<1K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: atari-alien
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hub_id: cjvt/ParlaMint3
license: ["cc-by-4.0"]
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tags:
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hub_id: DynamicSuperb/MultiSpeakerDetection_LibriSpeech-TestClean
license: []
language: []
config_name: default
column_names:
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hub_id: diwank/goat-deduped
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language: []
config_name: default
column_names: ["output","answer","instruction","input","signature"]
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hub_id: breadlicker45/Bread-chatbot-dataset-test
license: []
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config_name: default
column_names: ["chat"]
features: [{"name":"chat","dtype":"string"}]
tags:
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hub_id: quocanh34/test_result_large_synthesis_data_ver2
license: []
language: []
config_name: default
column_names: ["id","w2v2_baseline_transcription","w2v_baseline_norm"]
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hub_id: Taegyuu/KoAlpaca-v1.1a
license: []
language: ["ko"]
config_name: default
column_names: ["instruction","output","url"]
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hub_id: HAERAE-HUB/HAE-RAE-COT-1.5M
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config_name: default
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hub_id: TFMUNIR/users-movies-ratings-28082023
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config_name: default
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hub_id: lhallee/PPI_test_set
license: []
language: []
config_name: default
column_names: ["A","B","SeqA","SeqB","Label"]
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hub_id: slone/bak_rus_eng_2M2023_scored
license: []
language: []
config_name: default
column_names: ["idx","ba","ru","source","cosine_sim","cross_encoder_sim","joint_sim","ru_len","en","en_ru_sim"]
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hub_id: hieunguyen1053/grade_12_exams
license: []
language: []
config_name: default
column_names: ["id","question","metadata","choices","answerKey"]
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hub_id: edbeeching/gia-dataset-tokenized-debug3
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license: []
language: []
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hub_id: roa7n/maltaomics_dataset_normalized
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hub_id: davidggphy/gtzan_all_preprocessed
license: []
language: []
config_name: default
column_names: ["label","input_values","attention_mask"]
tags:
["size_categories:n<1K","parquet","timeseries","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"blues","1":"classical","2":"country","3":"disco","4":"hiphop","5":"jazz","6":"metal","7":"pop","8":"reggae","9":"rock"}}}},{"name":"input_values","sequence":"float32"},{"name":"attention_mask","sequence":"int32"}]


hub_id: mrm8488/FloCo
license: []
language: []
config_name: validation
column_names: ["image","code_caption"]
features: [{"name":"image","dtype":"image"},{"name":"code_caption","dtype":"string"}]
tags:
["task_categories:image-to-image","size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","region:us","code","croissant"]


hub_id: michaelnetbiz/Kendex
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["audio","file","text","duration","normalized_text"]
tags:
["task_categories:text-to-speech","language:en","license:mit","size_categories:1K<n<10K","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"file","dtype":"string"},{"name":"text","dtype":"string"},{"name":"duration","dtype":"float64"},{"name":"normalized_text","dtype":"string"}]


hub_id: amitrajitbh1/communities_unp_content
license: []
language: []
config_name: default
column_names: ["author","subreddit","subreddit_id","id","content","summary"]
features:
[{"name":"author","dtype":"string"},{"name":"subreddit","dtype":"string"},{"name":"subreddit_id","dtype":"string"},{"name":"id","dtype":"string"},{"name":"content","dtype":"string"},{"name":"summary","dtype":"string"}]


hub_id: linhqyy/soict_train
license: []
language: []
config_name: default
column_names: ["id","sentence","intent","sentence_annotation","entities","file"]
features:
[{"name":"id","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"intent","dtype":"string"},{"name":"sentence_annotation","dtype":"string"},{"name":"entities","list":[{"name":"type","dtype":"string"},{"name":"filler","dtype":"string"}]},{"name":"file","dtype":"string"}]


hub_id: yjching/tokenized_ts_data
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Problem","Resolution","input_ids","labels"]
features:
[{"name":"Problem","dtype":"string"},{"name":"Resolution","dtype":"string"},{"name":"input_ids","sequence":"int32"},{"name":"labels","sequence":"int64"}]


hub_id: BrunoGR/HRECPW-Hispanic_Responses_for_Emotional_Classification_based_on_Plutchik_Wheel
license: ["mit"]
language: ["es"]
config_name: default
column_names: ["texto","etiqueta"]
features: [{"name":"texto","dtype":"string"},{"name":"etiqueta","dtype":"string"}]
tags:
["task_categories:text-classification","language:es","license:mit","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: siacus/huff2
license: []
language: []
config_name: default
column_names: ["link","headline","category","short_description","authors","date","id","text","label"]
features:
[{"name":"link","dtype":"string"},{"name":"headline","dtype":"string"},{"name":"category","dtype":"string"},{"name":"short_description","dtype":"string"},{"name":"authors","dtype":"string"},{"name":"date","dtype":"string"},{"name":"id","dtype":"string"},{"name":"text","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"U.S. NEWS","1":"COMEDY","2":"PARENTING","3":"WORLD NEWS","4":"CULTURE & ARTS","5":"TECH","6":"SPORTS","7":"ENTERTAINMENT","8":"POLITICS","9":"WEIRD NEWS","10":"ENVIRONMENT","11":"EDUCATION","12":"CRIME","13":"SCIENCE","14":"WELLNESS","15":"BUSINESS","16":"STYLE & BEAUTY","17":"FOOD & DRINK","18":"MEDIA","19":"QUEER VOICES","20":"HOME & LIVING","21":"WOMEN","22":"BLACK VOICES","23":"TRAVEL","24":"MONEY","25":"RELIGION","26":"LATINO VOICES","27":"IMPACT","28":"WEDDINGS","29":"COLLEGE","30":"PARENTS","31":"ARTS & CULTURE","32":"STYLE","33":"GREEN","34":"TASTE","35":"HEALTHY LIVING","36":"THE WORLDPOST","37":"GOOD NEWS","38":"WORLDPOST","39":"FIFTY","40":"ARTS","41":"DIVORCE"}}}}]


hub_id: jtatman/empathetic_dialogues_summary
license: []
language: []
config_name: default
column_names:
["conv_id","utterance_idx","context","prompt","speaker_idx","utterance","selfeval","tags","summary"]

features:
[{"name":"conv_id","dtype":"string"},{"name":"utterance_idx","dtype":"int32"},{"name":"context","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"speaker_idx","dtype":"int32"},{"name":"utterance","dtype":"string"},{"name":"selfeval","dtype":"string"},{"name":"tags","dtype":"string"},{"name":"summary","dtype":"string"}]


hub_id: quocanh34/test_result_large_synthesis_data_revision
license: []
language: []
config_name: default
column_names: ["id","pred_str","test_norm"]
features:
[{"name":"id","dtype":"string"},{"name":"pred_str","dtype":"string"},{"name":"test_norm","dtype":"string"}]


hub_id: mirzaei2114/stackoverflowVQA
license: ["mit"]
language: ["en"]
config_name: default
tags:
["task_categories:visual-question-answering","task_categories:question-answering","language:en","license:mit","size_categories:100M<n<1B","parquet","tabular","text","datasets","dask","mlcroissant","region:us","code","croissant"]

features:
[{"name":"Id","dtype":"int64"},{"name":"PostTypeId","dtype":"int64"},{"name":"AcceptedAnswerId","dtype":"int64"},{"name":"ParentId","dtype":"int64"},{"name":"Score","dtype":"int64"},{"name":"ViewCount","dtype":"int64"},{"name":"Body","dtype":"string"},{"name":"Title","dtype":"string"},{"name":"ContentLicense","dtype":"string"},{"name":"FavoriteCount","dtype":"int64"},{"name":"CreationDate","dtype":"string"},{"name":"LastActivityDate","dtype":"string"},{"name":"LastEditDate","dtype":"string"},{"name":"LastEditorUserId","dtype":"int64"},{"name":"OwnerUserId","dtype":"int64"},{"name":"Tags","sequence":"string"}]


hub_id: malteee/SynTruckCab
license: []
language: []
config_name: default
column_names: ["image","mask","bbox"]
features:
[{"name":"image","dtype":"image"},{"name":"mask","dtype":"image"},{"name":"bbox","sequence":"float64"}]


hub_id: chuyin0321/news-stocks
license: []
language: []
config_name: default
column_names: ["symbol","body","publisher","publish_time","title","url","uuid"]
features:
[{"name":"symbol","dtype":"string"},{"name":"body","dtype":"string"},{"name":"publisher","dtype":"string"},{"name":"publish_time","dtype":"timestamp[ns, tz=GMT]"},{"name":"title","dtype":"string"},{"name":"url","dtype":"string"},{"name":"uuid","dtype":"string"}]


hub_id: chuyin0321/timeseries-daily-stocks
license: []
language: []
config_name: default
column_names: ["symbol","date","open","high","low","close","adj_close","volume"]
features:
[{"name":"symbol","dtype":"string"},{"name":"date","dtype":"string"},{"name":"open","dtype":"float64"},{"name":"high","dtype":"float64"},{"name":"low","dtype":"float64"},{"name":"close","dtype":"float64"},{"name":"adj_close","dtype":"float64"},{"name":"volume","dtype":"float64"}]


hub_id: chuyin0321/timeseries-1mn-stocks
license: []
language: []
config_name: default
column_names: ["symbol","datetime","open","high","low","close","volume"]
tags:
["size_categories:100M<n<1B","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"symbol","dtype":"string"},{"name":"datetime","dtype":"timestamp[ns]"},{"name":"open","dtype":"float64"},{"name":"high","dtype":"float64"},{"name":"low","dtype":"float64"},{"name":"close","dtype":"float64"},{"name":"volume","dtype":"float64"}]


hub_id: maitrang/viwiki_20230901_v2
license: []
language: []
config_name: default
column_names: ["id","revid","url","title","text"]
features:
[{"name":"id","dtype":"string"},{"name":"revid","dtype":"string"},{"name":"url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"text","sequence":"string"}]


hub_id: dongyoung4091/shp-generated_flan_t5_large_flan_t5_zeroshot_sileod
license: []
language: []
config_name: default
column_names:
["prompt","response","zeroshot_helpfulness","zeroshot_specificity","zeroshot_intent","zeroshot_factuality","zeroshot_easy-to-understand","zeroshot_relevance","zeroshot_readability","zeroshot_enough-detail","zeroshot_biased:","zeroshot_fail-to-consider-individual-preferences","zeroshot_repetetive","zeroshot_fail-to-consider-context","zeroshot_too-long","external_rm1"]

features:
[{"name":"prompt","dtype":"string"},{"name":"response","dtype":"string"},{"name":"zeroshot_helpfulness","dtype":"float64"},{"name":"zeroshot_specificity","dtype":"float64"},{"name":"zeroshot_intent","dtype":"float64"},{"name":"zeroshot_factuality","dtype":"float64"},{"name":"zeroshot_easy-to-understand","dtype":"int64"},{"name":"zeroshot_relevance","dtype":"int64"},{"name":"zeroshot_readability","dtype":"int64"},{"name":"zeroshot_enough-detail","dtype":"int64"},{"name":"zeroshot_biased:","dtype":"float64"},{"name":"zeroshot_fail-to-consider-individual-preferences","dtype":"float64"},{"name":"zeroshot_repetetive","dtype":"float64"},{"name":"zeroshot_fail-to-consider-context","dtype":"float64"},{"name":"zeroshot_too-long","dtype":"int64"},{"name":"external_rm1","dtype":"float64"}]


hub_id: mohamedemam/Arabic-samsum-dialogsum
license: ["cc-by-nc-2.0"]
language: ["ar"]
config_name: default
column_names: ["index","id","dialogue","summary","topic"]
tags:
["task_categories:summarization","language:ar","license:cc-by-nc-2.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:1911.12237","region:us","croissant"]

features:
[{"name":"index","dtype":"int64"},{"name":"id","dtype":"string"},{"name":"dialogue","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"topic","dtype":"string"}]


hub_id: missvector/asd-qa-train
license: ["mit"]
language: []
config_name: default
column_names: ["question","answers","paragraph"]
features:
[{"name":"question","dtype":"string"},{"name":"answers","struct":[{"name":"answer_end","dtype":"int64"},{"name":"answer_start","dtype":"int64"},{"name":"text","dtype":"string"}]},{"name":"paragraph","dtype":"string"}]


hub_id: shwetkm/TextCaps-VQA
license: []
language: []
config_name: default
column_names: ["image_id","question","answer","summary","image_url","question_id","sentence_answer"]
features:
[{"name":"image_id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"image_url","dtype":"string"},{"name":"question_id","dtype":"string"},{"name":"sentence_answer","dtype":"string"}]


hub_id: philikai/Spider-SQL-LLAMA2_train
license: ["cc-by-sa-4.0"]
language: []
config_name: default
column_names: ["db_id","query","question","schema","primary_keys","foreign_keys"]
tags:
["license:cc-by-sa-4.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"db_id","dtype":"string"},{"name":"query","dtype":"string"},{"name":"question","dtype":"string"},{"name":"schema","dtype":"string"},{"name":"primary_keys","dtype":"string"},{"name":"foreign_keys","dtype":"string"}]


hub_id: joaosanches/subtitles_test_set
license: []
language: []
config_name: default
column_names: ["id","meta","inputs","targets"]
features:
[{"name":"id","dtype":"string"},{"name":"meta","struct":[{"name":"year","dtype":"uint32"},{"name":"imdbId","dtype":"uint32"},{"name":"subtitleId","struct":[{"name":"pt","dtype":"uint32"},{"name":"pt_br","dtype":"uint32"}]},{"name":"sentenceIds","struct":[{"name":"pt","sequence":"uint32"},{"name":"pt_br","sequence":"uint32"}]}]},{"name":"inputs","dtype":"string"},{"name":"targets","dtype":"string"}]


hub_id: pietrolesci/pubmed-200k-rct
license: []
language: []
config_name: embedding_multi-qa-mpnet-base-dot-v1
column_names: ["uid","embedding_multi-qa-mpnet-base-dot-v1"]
features:
[{"name":"uid","dtype":"int64"},{"name":"embedding_multi-qa-mpnet-base-dot-v1","sequence":"float32"}]


hub_id: pietrolesci/wikitoxic
license: ["cc0-1.0"]
language: ["en"]
config_name: embedding_multi-qa-mpnet-base-dot-v1
column_names: ["uid","embedding_multi-qa-mpnet-base-dot-v1"]
tags:
["task_categories:text-classification","task_ids:hate-speech-detection","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:extended|other","language:en","license:cc0-1.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","wikipedia","toxicity","toxic comments","croissant"]

features:
[{"name":"uid","dtype":"int64"},{"name":"embedding_multi-qa-mpnet-base-dot-v1","sequence":"float32"}]


hub_id: lum-ai/metal-python-synthetic-explanations-gpt4
license: []
language: []
config_name: default
column_names:
["id","chunk_id","model_name","temperature","max_tokens","use_raw_code","description","created_at","raw_text","text","code","kind","start_text","stop_text","start_code","stop_code","domain","full_name","license","stargazers_count","filename","chunk_type"]

features:
[{"name":"id","dtype":"string"},{"name":"chunk_id","dtype":"string"},{"name":"model_name","dtype":"string"},{"name":"temperature","dtype":"int64"},{"name":"max_tokens","dtype":"float64"},{"name":"use_raw_code","dtype":"bool"},{"name":"description","dtype":"string"},{"name":"created_at","dtype":"timestamp[ns]"},{"name":"raw_text","dtype":"string"},{"name":"text","dtype":"string"},{"name":"code","dtype":"string"},{"name":"kind","dtype":"string"},{"name":"start_text","dtype":"int64"},{"name":"stop_text","dtype":"int64"},{"name":"start_code","dtype":"int64"},{"name":"stop_code","dtype":"int64"},{"name":"domain","dtype":"string"},{"name":"full_name","dtype":"string"},{"name":"license","struct":[{"name":"key","dtype":"string"},{"name":"name","dtype":"string"},{"name":"node_id","dtype":"string"},{"name":"spdx_id","dtype":"string"},{"name":"url","dtype":"string"}]},{"name":"stargazers_count","dtype":"int64"},{"name":"filename","dtype":"string"},{"name":"chunk_type","dtype":"string"}]


hub_id: arnmig/github-issues
license: []
language: []
config_name: default
features:
[{"name":"url","dtype":"string"},{"name":"repository_url","dtype":"string"},{"name":"labels_url","dtype":"string"},{"name":"comments_url","dtype":"string"},{"name":"events_url","dtype":"string"},{"name":"html_url","dtype":"string"},{"name":"id","dtype":"int64"},{"name":"node_id","dtype":"string"},{"name":"number","dtype":"int64"},{"name":"title","dtype":"string"},{"name":"user","dtype":"string"},{"name":"labels","dtype":"string"},{"name":"state","dtype":"string"},{"name":"locked","dtype":"bool"},{"name":"assignee","dtype":"string"},{"name":"assignees","dtype":"string"},{"name":"milestone","dtype":"string"},{"name":"comments","sequence":"string"},{"name":"created_at","dtype":"timestamp[s]"},{"name":"updated_at","dtype":"timestamp[s]"},{"name":"closed_at","dtype":"string"},{"name":"author_association","dtype":"string"},{"name":"active_lock_reason","dtype":"string"},{"name":"draft","dtype":"string"},{"name":"pull_request","dtype":"string"},{"name":"body","dtype":"string"},{"name":"reactions","dtype":"string"},{"name":"timeline_url","dtype":"string"},{"name":"performed_via_github_app","dtype":"string"},{"name":"state_reason","dtype":"string"},{"name":"is_pull_request","dtype":"bool"}]


hub_id: notrichardren/HaluEval
license: []
language: []
config_name: summarization
column_names: ["document","right_summary","hallucinated_summary","task_type"]
features:
[{"name":"document","dtype":"string"},{"name":"right_summary","dtype":"string"},{"name":"hallucinated_summary","dtype":"string"},{"name":"task_type","dtype":"string"}]


hub_id: lavita/ChatDoctor-iCliniq
license: []
language: []
config_name: default
column_names: ["input","answer_icliniq","answer_chatgpt","answer_chatdoctor"]
features:
[{"name":"input","dtype":"string"},{"name":"answer_icliniq","dtype":"string"},{"name":"answer_chatgpt","dtype":"string"},{"name":"answer_chatdoctor","dtype":"string"}]


hub_id: hieunguyen1053/en-to-vi-formal-informal-tranlations
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["en","vi","fewshot_samples"]
features:
[{"name":"en","dtype":"string"},{"name":"vi","dtype":"string"},{"name":"fewshot_samples","list":[{"name":"en","dtype":"string"},{"name":"vi","dtype":"string"}]}]


hub_id: khalidalt/xlsum_clm
license: []
language: []
config_name: default
column_names: ["gem_id","url","title","target","references","text"]
features:
[{"name":"gem_id","dtype":"string"},{"name":"url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"target","dtype":"string"},{"name":"references","list":"string"},{"name":"text","dtype":"string"}]


hub_id: hanho/test
license: ["openrail"]
language: []
config_name: default
column_names: ["pokemon","type"]
features: [{"name":"pokemon","dtype":"string"},{"name":"type","dtype":"string"}]
tags:
["license:openrail","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","doi:10.57967/hf/1110","region:us","croissant"]


hub_id: kevincluo/structure_wildfire_damage_classification
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["image","label"]
tags:
["language:en","license:cc-by-4.0","size_categories:10K<n<100K","parquet","image","datasets","dask","mlcroissant","region:us","climate","wildfire","image classification","damage assessment","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"affected","1":"destroyed","2":"inaccessible","3":"major","4":"minor","5":"no_damage"}}}}]


hub_id: ASSERT-KTH/megadiff-single-function
license: []
language: ["code"]
config_name: default
column_names: ["diff","is_single_chunk","is_single_function","buggy_function","fixed_function"]
tags:
["language:code","size_categories:10K<n<100K","parquet","text","datasets","dask","mlcroissant","arxiv:2108.04631","region:us","croissant"]

features:
[{"name":"diff","dtype":"string"},{"name":"is_single_chunk","dtype":"bool"},{"name":"is_single_function","dtype":"bool"},{"name":"buggy_function","dtype":"string"},{"name":"fixed_function","dtype":"string"}]


hub_id: maximegmd/medqa_alpaca_format
license: []
language: []
config_name: default
column_names: ["question","choices","solution"]
features:
[{"name":"question","dtype":"string"},{"name":"choices","sequence":"string"},{"name":"solution","dtype":"string"}]


hub_id: malteee/TruckDet1
license: []
language: []
config_name: default
column_names: ["image_id","image","width","height","objects"]
features:
[{"name":"image_id","dtype":"int64"},{"name":"image","dtype":"image"},{"name":"width","dtype":"int64"},{"name":"height","dtype":"int64"},{"name":"objects","struct":[{"name":"area","sequence":"float64"},{"name":"bbox","sequence":{"sequence":"float64"}},{"name":"category","sequence":"int64"},{"name":"id","sequence":"int64"}]}]


hub_id: ze-lin/wiki5m_ind_bloomz
license: []
language: []
config_name: default
column_names: ["head_id","head","relation","tail_id","tail","input_ids","attention_mask"]
features:
[{"name":"head_id","dtype":"string"},{"name":"head","dtype":"string"},{"name":"relation","dtype":"string"},{"name":"tail_id","dtype":"string"},{"name":"tail","dtype":"string"},{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"}]


hub_id: d0rj/RuBQ_2.0
license: ["cc-by-sa-4.0"]
language: ["ru","en"]
config_name: default
tags:
["task_categories:question-answering","source_datasets:original","language:ru","language:en","license:cc-by-sa-4.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:2005.10659","region:us","qa","machine reading","croissant"]

column_names:
["uid","question_text","query","answer_text","question_uris","question_props","answers","paragraphs_uids","tags","RuBQ_version","question_eng"]

features:
[{"name":"uid","dtype":"int64"},{"name":"question_text","dtype":"string"},{"name":"query","dtype":"string"},{"name":"answer_text","dtype":"string"},{"name":"question_uris","sequence":"string"},{"name":"question_props","sequence":"string"},{"name":"answers","list":[{"name":"datatype","dtype":"string"},{"name":"label","dtype":"string"},{"name":"type","dtype":"string"},{"name":"value","dtype":"string"},{"name":"wd_names","struct":[{"name":"en","sequence":"string"},{"name":"ru","sequence":"string"}]},{"name":"wp_names","sequence":"string"},{"name":"xml:lang","dtype":"string"}]},{"name":"paragraphs_uids","struct":[{"name":"all_related","sequence":"int64"},{"name":"with_answer","sequence":"int64"}]},{"name":"tags","sequence":"string"},{"name":"RuBQ_version","dtype":"string"},{"name":"question_eng","dtype":"string"}]


hub_id: d0rj/RuBQ_1.0
license: ["cc-by-sa-4.0"]
language: ["ru","en"]
config_name: default
tags:
["task_categories:question-answering","source_datasets:original","language:ru","language:en","license:cc-by-sa-4.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:2005.10659","region:us","qa","machine reading","croissant"]

column_names:
["uid","question_text","query","answer_text","question_uris","question_props","answers","tags","question_eng"]

features:
[{"name":"uid","dtype":"int64"},{"name":"question_text","dtype":"string"},{"name":"query","dtype":"string"},{"name":"answer_text","dtype":"string"},{"name":"question_uris","sequence":"string"},{"name":"question_props","sequence":"string"},{"name":"answers","list":[{"name":"datatype","dtype":"string"},{"name":"type","dtype":"string"},{"name":"value","dtype":"string"},{"name":"xml:lang","dtype":"string"}]},{"name":"tags","sequence":"string"},{"name":"question_eng","dtype":"string"}]


hub_id: d0rj/RuBQ_2.0-paragraphs
license: ["cc-by-sa-4.0"]
language: ["ru","en"]
config_name: default
column_names: ["uid","ru_wiki_pageid","text"]
tags:
["task_categories:question-answering","source_datasets:original","language:ru","language:en","license:cc-by-sa-4.0","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","arxiv:2005.10659","region:us","qa","machine reading","croissant"]

features:
[{"name":"uid","dtype":"int64"},{"name":"ru_wiki_pageid","dtype":"int64"},{"name":"text","dtype":"string"}]


