# datasets

hub_id: Chainfuel/aste_fine_tuning
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["text","output"]
features:
[{"name":"text","dtype":"string"},{"name":"output","list":[{"name":"aspect","dtype":"string"},{"name":"opinion","dtype":"string"},{"name":"sentiment","dtype":"string"}]}]


hub_id: nesuri/FIES-cluster-cleaned
license: []
language: []
config_name: default
column_names:
["Unnamed: 0","Total Household Income","Total Food Expenditure","Alcoholic Beverages Expenditure","Tobacco Expenditure","Medical Care Expenditure","Education Expenditure","Household Head Sex","Household Head Age","Household Head Marital Status","Household Head Highest Grade Completed","Household Head Job or Business Indicator","Household Head Occupation","Household Head Class of Worker","Type of Household","Total Number of Family members","Members with age less than 5 year old","Members with age 5 - 17 years old","Total number of family members employed","Type of Building/House"]

features:
[{"name":"Unnamed: 0","dtype":"int64"},{"name":"Total Household Income","dtype":"int64"},{"name":"Total Food Expenditure","dtype":"int64"},{"name":"Alcoholic Beverages Expenditure","dtype":"int64"},{"name":"Tobacco Expenditure","dtype":"int64"},{"name":"Medical Care Expenditure","dtype":"int64"},{"name":"Education Expenditure","dtype":"float64"},{"name":"Household Head Sex","dtype":"string"},{"name":"Household Head Age","dtype":"int64"},{"name":"Household Head Marital Status","dtype":"string"},{"name":"Household Head Highest Grade Completed","dtype":"string"},{"name":"Household Head Job or Business Indicator","dtype":"string"},{"name":"Household Head Occupation","dtype":"string"},{"name":"Household Head Class of Worker","dtype":"string"},{"name":"Type of Household","dtype":"string"},{"name":"Total Number of Family members","dtype":"int64"},{"name":"Members with age less than 5 year old","dtype":"int64"},{"name":"Members with age 5 - 17 years old","dtype":"int64"},{"name":"Total number of family members employed","dtype":"int64"},{"name":"Type of Building/House","dtype":"string"}]


hub_id: BogdanTurbal/political_b_v_2_0
license: []
language: []
config_name: default
column_names: ["id","text","label","dataset_id"]
features:
[{"name":"id","dtype":"string"},{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"dataset_id","dtype":"int64"}]


hub_id: LelViLamp/oalz-1788-q1-ner-annotations-union-dataset
license: []
language: ["de","la","fr","en"]
config_name: default
column_names: ["annotation_id","line_id","start","end","label","label_text","merged"]
tags:
["task_categories:token-classification","language:de","language:la","language:fr","language:en","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","historical","croissant"]

features:
[{"name":"annotation_id","dtype":"string"},{"name":"line_id","dtype":"uint16"},{"name":"start","dtype":"uint16"},{"name":"end","dtype":"uint16"},{"name":"label","dtype":{"class_label":{"names":{"0":"EVENT","1":"LOC","2":"MISC","3":"ORG","4":"PER","5":"TIME"}}}},{"name":"label_text","dtype":"string"},{"name":"merged","dtype":"bool"}]


hub_id: BEE-spoke-data/fineweb-100_128k
license: ["odc-by"]
language: ["en"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["task_categories:text-generation","task_categories:feature-extraction","source_datasets:HuggingFaceFW/fineweb","language:en","license:odc-by","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","longboi","128k","long context","croissant"]


hub_id: Milana/edacc_dataset_resampled_16K
license: []
language: []
config_name: default
column_names: ["speaker","text","common_accent","resampled_audio"]
features:
[{"name":"speaker","dtype":"string"},{"name":"text","dtype":"string"},{"name":"common_accent","dtype":"string"},{"name":"resampled_audio","sequence":{"sequence":"float64"}}]


hub_id: Milana/common_dataset_resampled_16K
license: []
language: []
config_name: default
column_names: ["speaker","text","accent","raw_accent","gender","l1","audio","common_accent","resampled_audio"]
features:
[{"name":"speaker","dtype":"string"},{"name":"text","dtype":"string"},{"name":"accent","dtype":"string"},{"name":"raw_accent","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"l1","dtype":"string"},{"name":"audio","dtype":"audio"},{"name":"common_accent","dtype":"string"},{"name":"resampled_audio","sequence":{"sequence":"float64"}}]


hub_id: Frencis/NIICU_RGBT
tags: ["license:cc-by-nc-sa-3.0","region:us"]
license: ["cc-by-nc-sa-3.0"]
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"images","1":"images_4"}}}}]


hub_id: nesuri/dataset-normalized
license: []
language: []
config_name: default
column_names:
["Unnamed: 0","Total Household Income","Total Food Expenditure","Alcoholic Beverages Expenditure","Tobacco Expenditure","Medical Care Expenditure","Education Expenditure","Household Head Sex","Household Head Age","Household Head Marital Status","Household Head Highest Grade Completed","Household Head Job or Business Indicator","Household Head Occupation","Household Head Class of Worker","Type of Household","Total Number of Family members","Members with age less than 5 year old","Members with age 5 - 17 years old","Total number of family members employed","Type of Building/House"]

features:
[{"name":"Unnamed: 0","dtype":"float64"},{"name":"Total Household Income","dtype":"float64"},{"name":"Total Food Expenditure","dtype":"float64"},{"name":"Alcoholic Beverages Expenditure","dtype":"float64"},{"name":"Tobacco Expenditure","dtype":"float64"},{"name":"Medical Care Expenditure","dtype":"float64"},{"name":"Education Expenditure","dtype":"float64"},{"name":"Household Head Sex","dtype":"float64"},{"name":"Household Head Age","dtype":"float64"},{"name":"Household Head Marital Status","dtype":"float64"},{"name":"Household Head Highest Grade Completed","dtype":"float64"},{"name":"Household Head Job or Business Indicator","dtype":"float64"},{"name":"Household Head Occupation","dtype":"float64"},{"name":"Household Head Class of Worker","dtype":"float64"},{"name":"Type of Household","dtype":"float64"},{"name":"Total Number of Family members","dtype":"float64"},{"name":"Members with age less than 5 year old","dtype":"float64"},{"name":"Members with age 5 - 17 years old","dtype":"float64"},{"name":"Total number of family members employed","dtype":"float64"},{"name":"Type of Building/House","dtype":"float64"}]


hub_id: mask-distilled-libri-one-sec-cv12/chunk_2
license: []
language: []
config_name: default
column_names: ["audio","logits"]
features: [{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"logits","sequence":"float32"}]
tags:
["size_categories:10K<n<100K","parquet","audio","timeseries","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: vipinkatara/SFT_data2
license: []
language: []
config_name: default
column_names: ["messages","__index_level_0__"]
features:
[{"name":"messages","list":[{"name":"from","dtype":"string"},{"name":"role","dtype":"string"},{"name":"value","dtype":"string"}]},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: vipinkatara/SFT_data22
license: []
language: []
config_name: default
column_names: ["messages","__index_level_0__"]
features:
[{"name":"messages","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: lumalik/Product-Hunt-Data
license: []
language: []
config_name: default
column_names:
["title","tagline","upvotes","number_of_comments","creator","industry","product_type","link","external_link","year","resolved_url","status"]

features:
[{"name":"title","dtype":"string"},{"name":"tagline","dtype":"string"},{"name":"upvotes","dtype":"string"},{"name":"number_of_comments","dtype":"string"},{"name":"creator","dtype":"string"},{"name":"industry","dtype":"string"},{"name":"product_type","dtype":"string"},{"name":"link","dtype":"string"},{"name":"external_link","dtype":"string"},{"name":"year","dtype":"int64"},{"name":"resolved_url","dtype":"string"},{"name":"status","dtype":"string"}]


hub_id: iamtarun/OKVQA-demo
license: []
language: []
config_name: default
column_names:
["answers","gold_answer","question","question_id","img_path","img_key_full","img_key","img_file_name","img","img_caption","objects","img_ocr","__index_level_0__","ROIs","pos_item_ids","pos_item_contents","text_sequence","input_ids","attention_mask","pixel_values"]

features:
[{"name":"answers","sequence":"string"},{"name":"gold_answer","dtype":"string"},{"name":"question","dtype":"string"},{"name":"question_id","dtype":"string"},{"name":"img_path","dtype":"string"},{"name":"img_key_full","dtype":"string"},{"name":"img_key","dtype":"int64"},{"name":"img_file_name","dtype":"string"},{"name":"img","dtype":"null"},{"name":"img_caption","struct":[{"name":"caption","dtype":"string"},{"name":"conf","dtype":"float64"}]},{"name":"objects","list":[{"name":"attribute_scores","sequence":"float64"},{"name":"attributes","sequence":"string"},{"name":"class","dtype":"string"},{"name":"ocr","list":[{"name":"score","dtype":"float64"},{"name":"text","dtype":"string"}]},{"name":"rect","sequence":"float64"}]},{"name":"img_ocr","list":[{"name":"description","dtype":"string"},{"name":"vertices","sequence":{"sequence":"int64"}}]},{"name":"__index_level_0__","dtype":"string"},{"name":"ROIs","sequence":"string"},{"name":"pos_item_ids","sequence":"string"},{"name":"pos_item_contents","sequence":"string"},{"name":"text_sequence","dtype":"string"},{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"},{"name":"pixel_values","sequence":{"sequence":{"sequence":{"sequence":"float32"}}}}]


hub_id: baskra/LEAF
license: ["odbl"]
language: []
config_name: default
column_names: ["product_name","lang","label"]
tags:
["license:odbl","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"product_name","dtype":"string"},{"name":"lang","dtype":"string"},{"name":"label","dtype":"string"}]


hub_id: Kojk/mistral-7b-instruct-sleeper-hate-alpaca-300-v0.1
license: []
language: []
config_name: default
column_names: ["question","answer","text"]
tags:
["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","arxiv:2401.05566","region:us","croissant"]


hub_id: jlbaker361/personalization_cartoon
license: []
language: []
config_name: default
column_names: ["label","image_0","image_1","image_2"]
features:
[{"name":"label","dtype":"string"},{"name":"image_0","dtype":"image"},{"name":"image_1","dtype":"image"},{"name":"image_2","dtype":"image"}]


hub_id: naumanshahid/whisper-data-2
license: []
language: []
config_name: default
column_names: ["audio","text","start_time","end_time"]
features:
[{"name":"audio","dtype":"audio"},{"name":"text","dtype":"string"},{"name":"start_time","dtype":"time64[us]"},{"name":"end_time","dtype":"time64[us]"}]


hub_id: HuggingFaceTB/bisac_3B_prompts_3_styles
license: []
language: []
config_name: default
column_names:
["subcategory","code","top_category","expansion_factor","prompt","subtopic","subtopic_w_explanation","for_inspection","query","text","prompt_grade_school_students","prompt_middle_school_students","prompt_college_students"]

features:
[{"name":"subcategory","dtype":"string"},{"name":"code","dtype":"string"},{"name":"top_category","dtype":"string"},{"name":"expansion_factor","dtype":"int64"},{"name":"prompt","dtype":"string"},{"name":"subtopic","dtype":"string"},{"name":"subtopic_w_explanation","dtype":"string"},{"name":"for_inspection","dtype":"string"},{"name":"query","dtype":"string"},{"name":"text","dtype":"string"},{"name":"prompt_grade_school_students","dtype":"string"},{"name":"prompt_middle_school_students","dtype":"string"},{"name":"prompt_college_students","dtype":"string"}]


hub_id: Jee/news
license: []
language: []
config_name: default
features:
[{"name":"text","dtype":"string"},{"name":"inputs","struct":[{"name":"text","dtype":"string"}]},{"name":"prediction","list":[{"name":"label","dtype":"string"},{"name":"score","dtype":"float64"}]},{"name":"prediction_agent","dtype":"string"},{"name":"annotation","dtype":"null"},{"name":"annotation_agent","dtype":"null"},{"name":"vectors","dtype":"null"},{"name":"multi_label","dtype":"bool"},{"name":"explanation","dtype":"null"},{"name":"id","dtype":"string"},{"name":"metadata","struct":[{"name":"split","dtype":"string"}]},{"name":"status","dtype":"string"},{"name":"event_timestamp","dtype":"timestamp[us]"},{"name":"metrics","struct":[{"name":"text_length","dtype":"int64"}]}]


hub_id: fengyang0317/imagenet-1k
license: []
language: []
config_name: default
column_names: ["index","image","path","label"]
features:
[{"name":"index","dtype":"int64"},{"name":"image","dtype":"image"},{"name":"path","dtype":"string"},{"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"}}}}]


hub_id: sentence-transformers/msmarco-corpus
license: []
language: ["en"]
config_name: query
column_names: ["qid","text"]
features: [{"name":"qid","dtype":"int64"},{"name":"text","dtype":"string"}]
tags:
["multilinguality:monolingual","language:en","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: PawinC/nectec_thaifood
license: []
language: ["th"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["language:th","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: Rabeya/aya_1k
license: []
language: []
config_name: default
column_names: ["inputs","targets","language","language_code","annotation_type","user_id","text"]
features:
[{"name":"inputs","dtype":"string"},{"name":"targets","dtype":"string"},{"name":"language","dtype":"string"},{"name":"language_code","dtype":"string"},{"name":"annotation_type","dtype":"string"},{"name":"user_id","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: NghiemAbe/Legal-training-datasets
license: []
language: ["vi"]
config_name: default
column_names: ["query","positive","negative"]
tags:
["language:vi","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","legal","croissant"]


hub_id: CIIRC-NLP/truthful_qa-cs
license: ["apache-2.0"]
language: ["cs"]
config_name: multiple_choice
column_names: ["question","mc1_targets","mc2_targets"]
tags:
["task_categories:multiple-choice","task_categories:question-answering","language:cs","license:apache-2.0","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","arxiv:2109.07958","region:us","croissant"]


hub_id: Andrianos/clsd_wmt19_21
license: ["cc-by-4.0"]
language: []
config_name: wmt21.fr.de
column_names: ["Source","Target","TargetAdv1","TargetAdv2","TargetAdv3","TargetAdv4","lang"]
features:
[{"name":"Source","dtype":"string"},{"name":"Target","dtype":"string"},{"name":"TargetAdv1","dtype":"string"},{"name":"TargetAdv2","dtype":"string"},{"name":"TargetAdv3","dtype":"string"},{"name":"TargetAdv4","dtype":"string"},{"name":"lang","dtype":"string"}]


hub_id: cjfcsjt/AITW_General
tags: ["size_categories:100K<n<1M","tabular","text","region:us"]
license: []
language: []
config_name: unseen_subject
column_names:
["ep_id","step_id","android_api_level","current_activity","device_type","episode_length","goal_info","image","image_ui_annotations_positions","image_ui_annotations_text","image_ui_annotations_ui_types","results_action_type","results_type_action","results_yx_touch","results_yx_lift"]

features:
[{"name":"ep_id","dtype":"string"},{"name":"step_id","dtype":"int32"},{"name":"android_api_level","dtype":"int32"},{"name":"current_activity","dtype":"string"},{"name":"device_type","dtype":"string"},{"name":"episode_length","dtype":"int32"},{"name":"goal_info","dtype":"string"},{"name":"image","dtype":"binary"},{"name":"image_ui_annotations_positions","sequence":"float64"},{"name":"image_ui_annotations_text","sequence":"string"},{"name":"image_ui_annotations_ui_types","sequence":"string"},{"name":"results_action_type","dtype":"int32"},{"name":"results_type_action","sequence":"string"},{"name":"results_yx_touch","sequence":"float64"},{"name":"results_yx_lift","sequence":"float64"}]


hub_id: shacharu/Twilight-Sparkle_tagged
license: []
language: []
config_name: default
column_names:
["speaker","source","start","end","style","noise","text","duration","gender","utterance_pitch_mean","utterance_pitch_std","snr","c50","speaking_rate","phonemes","reverberation","speech_monotony","text_description"]

features:
[{"name":"speaker","dtype":"string"},{"name":"source","dtype":"string"},{"name":"start","dtype":"float64"},{"name":"end","dtype":"float64"},{"name":"style","dtype":"string"},{"name":"noise","dtype":"string"},{"name":"text","dtype":"string"},{"name":"duration","dtype":"float64"},{"name":"gender","dtype":"string"},{"name":"utterance_pitch_mean","dtype":"float32"},{"name":"utterance_pitch_std","dtype":"float32"},{"name":"snr","dtype":"float64"},{"name":"c50","dtype":"float64"},{"name":"speaking_rate","dtype":"string"},{"name":"phonemes","dtype":"string"},{"name":"reverberation","dtype":"string"},{"name":"speech_monotony","dtype":"string"},{"name":"text_description","dtype":"string"}]


hub_id: Gapes21/dummy
license: []
language: []
config_name: default
column_names: ["image","qna"]
features:
[{"name":"image","dtype":"image"},{"name":"qna","list":[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"answerlabel","dtype":"int64"},{"name":"softvec","struct":[{"name":"28143","dtype":"int64"},{"name":"28151","dtype":"int64"},{"name":"26639","dtype":"int64"},{"name":"33838","dtype":"int64"},{"name":"10324","dtype":"int64"},{"name":"31644","dtype":"int64"},{"name":"49375","dtype":"int64"},{"name":"28445","dtype":"int64"},{"name":"7219","dtype":"int64"},{"name":"7011","dtype":"int64"},{"name":"47666","dtype":"int64"},{"name":"7144","dtype":"int64"},{"name":"7236","dtype":"int64"},{"name":"18474","dtype":"int64"},{"name":"18483","dtype":"int64"},{"name":"27389","dtype":"int64"},{"name":"27399","dtype":"int64"},{"name":"13643","dtype":"int64"},{"name":"27379","dtype":"int64"}]}]}]


hub_id: Zyphra/Zyda
license: ["odc-by"]
language: ["en"]
config_name: default
column_names: []
features: []
tags:
["task_categories:text-generation","language:en","license:odc-by","size_categories:n>1T","image","text","arxiv:2405.16712","arxiv:2101.00027","arxiv:2406.01981","doi:10.57967/hf/2394","region:us"]


hub_id: CIIRC-NLP/arc-cs
license: ["cc-by-sa-4.0"]
language: ["cs"]
config_name: ARC-Easy
column_names: ["id","question","choices","answerKey"]
tags:
["task_categories:multiple-choice","task_categories:question-answering","language:cs","license:cc-by-sa-4.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: CIIRC-NLP/mmlu-cs
license: ["mit"]
language: ["cs"]
config_name: default
column_names: ["question","subject","choices","answer"]
tags:
["task_categories:multiple-choice","task_categories:question-answering","language:cs","license:mit","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: Jee/label_errors
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
features:
[{"name":"text","dtype":"string"},{"name":"inputs","struct":[{"name":"text","dtype":"string"}]},{"name":"prediction","list":[{"name":"label","dtype":"string"},{"name":"score","dtype":"float64"}]},{"name":"prediction_agent","dtype":"string"},{"name":"annotation","dtype":"string"},{"name":"annotation_agent","dtype":"string"},{"name":"vectors","dtype":"null"},{"name":"multi_label","dtype":"bool"},{"name":"explanation","dtype":"null"},{"name":"id","dtype":"string"},{"name":"metadata","struct":[{"name":"label_error_candidate","dtype":"int64"},{"name":"split","dtype":"string"}]},{"name":"status","dtype":"string"},{"name":"event_timestamp","dtype":"timestamp[us]"},{"name":"metrics","struct":[{"name":"text_length","dtype":"int64"}]}]


hub_id: CIIRC-NLP/gsm8k-cs
license: ["mit"]
language: ["cs"]
config_name: default
column_names: ["question","answer","thoughts"]
tags:
["language:cs","license:mit","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"int64"},{"name":"thoughts","dtype":"string"}]


hub_id: guilhermebastos96/my_dataset
license: []
language: []
config_name: default
column_names: ["speaker_id","audio","text"]
features:
[{"name":"speaker_id","dtype":"int64"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"text","dtype":"string"}]


hub_id: lerobot/aloha_static_screw_driver
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["observation.images.cam_high","observation.images.cam_left_wrist","observation.images.cam_low","observation.images.cam_right_wrist","observation.state","observation.effort","action","episode_index","frame_index","timestamp","next.done","index"]

features:
[{"name":"observation.images.cam_high","dtype":"video_frame"},{"name":"observation.images.cam_left_wrist","dtype":"video_frame"},{"name":"observation.images.cam_low","dtype":"video_frame"},{"name":"observation.images.cam_right_wrist","dtype":"video_frame"},{"name":"observation.state","sequence":"float32","length":14},{"name":"observation.effort","sequence":"float32","length":14},{"name":"action","sequence":"float32","length":14},{"name":"episode_index","dtype":"int64"},{"name":"frame_index","dtype":"int64"},{"name":"timestamp","dtype":"float32"},{"name":"next.done","dtype":"bool"},{"name":"index","dtype":"int64"}]


hub_id: CIIRC-NLP/czech-subjectivity-en
license: ["cc-by-nc-sa-4.0"]
language: ["en"]
config_name: default
column_names: ["text","label","label_text"]
tags:
["task_categories:text-classification","language:en","license:cc-by-nc-sa-4.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:2204.13915","region:us","croissant"]


hub_id: CIIRC-NLP/ctkfacts_nli-en
license: []
language: ["en"]
config_name: default
column_names: ["id","label","evidence","claim"]
features:
[{"name":"id","dtype":"int32"},{"name":"label","dtype":{"class_label":{"names":{"0":"REFUTES","1":"NOT ENOUGH INFO","2":"SUPPORTS"}}}},{"name":"evidence","dtype":"string"},{"name":"claim","dtype":"string"}]


hub_id: e-palmisano/italian_dataset_mix
license: ["apache-2.0"]
language: ["it"]
config_name: default
column_names: ["messages"]
features: [{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]
tags:
["task_categories:question-answering","task_categories:text-generation","language:it","license:apache-2.0","size_categories:100M<n<1B","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: KaggleMasterX/DPO_NEW_10K
license: []
language: []
config_name: default
column_names:
["bibcode","abstract","id","title","year","read_count","cite_read_boost","citation_count","keyword","PDF_link_url","log_read_count","latent_readcount","log_cite_count","latent_cite_count","log_crb_count","latent_crb_count","clickbait","selected_title","rejected_title"]

features:
[{"name":"bibcode","dtype":"string"},{"name":"abstract","dtype":"string"},{"name":"id","dtype":"int64"},{"name":"title","dtype":"string"},{"name":"year","dtype":"int64"},{"name":"read_count","dtype":"int64"},{"name":"cite_read_boost","dtype":"float64"},{"name":"citation_count","dtype":"int64"},{"name":"keyword","dtype":"string"},{"name":"PDF_link_url","dtype":"string"},{"name":"log_read_count","dtype":"float64"},{"name":"latent_readcount","dtype":"float64"},{"name":"log_cite_count","dtype":"float64"},{"name":"latent_cite_count","dtype":"float64"},{"name":"log_crb_count","dtype":"float64"},{"name":"latent_crb_count","dtype":"float64"},{"name":"clickbait","dtype":"int64"},{"name":"selected_title","dtype":"string"},{"name":"rejected_title","dtype":"string"}]


hub_id: lerobot/aloha_static_candy
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["observation.images.cam_high","observation.images.cam_left_wrist","observation.images.cam_low","observation.images.cam_right_wrist","observation.state","action","episode_index","frame_index","timestamp","next.done","index"]

features:
[{"name":"observation.images.cam_high","dtype":"video_frame"},{"name":"observation.images.cam_left_wrist","dtype":"video_frame"},{"name":"observation.images.cam_low","dtype":"video_frame"},{"name":"observation.images.cam_right_wrist","dtype":"video_frame"},{"name":"observation.state","sequence":"float32","length":14},{"name":"action","sequence":"float32","length":14},{"name":"episode_index","dtype":"int64"},{"name":"frame_index","dtype":"int64"},{"name":"timestamp","dtype":"float32"},{"name":"next.done","dtype":"bool"},{"name":"index","dtype":"int64"}]


hub_id: jordandavis/fashion_num_people
license: []
language: []
config_name: default
column_names: ["id","brand","image_id","caption","image_url","width","height","image","num_people"]
tags:
["size_categories:100M<n<1B","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"float64"},{"name":"brand","dtype":"string"},{"name":"image_id","dtype":"string"},{"name":"caption","dtype":"string"},{"name":"image_url","dtype":"string"},{"name":"width","dtype":"string"},{"name":"height","dtype":"string"},{"name":"image","dtype":"image"},{"name":"num_people","dtype":"int64"}]


hub_id: msc-smart-contract-audition/vulnerability-severity-classification
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["function","severity"]
features: [{"name":"function","dtype":"string"},{"name":"severity","dtype":"string"}]
tags:
["task_categories:text-classification","language:en","license:mit","size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","region:us","finance","croissant"]


hub_id: lerobot/aloha_mobile_wipe_wine
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["observation.images.cam_high","observation.images.cam_left_wrist","observation.images.cam_right_wrist","observation.state","observation.effort","action","episode_index","frame_index","timestamp","next.done","index"]

features:
[{"name":"observation.images.cam_high","dtype":"video_frame"},{"name":"observation.images.cam_left_wrist","dtype":"video_frame"},{"name":"observation.images.cam_right_wrist","dtype":"video_frame"},{"name":"observation.state","sequence":"float32","length":14},{"name":"observation.effort","sequence":"float32","length":14},{"name":"action","sequence":"float32","length":14},{"name":"episode_index","dtype":"int64"},{"name":"frame_index","dtype":"int64"},{"name":"timestamp","dtype":"float32"},{"name":"next.done","dtype":"bool"},{"name":"index","dtype":"int64"}]


hub_id: macabdul9/VoxCeleb_test
license: []
language: []
config_name: default
column_names: ["audio","id","speaker_id"]
features:
[{"name":"audio","dtype":"audio"},{"name":"id","dtype":"string"},{"name":"speaker_id","dtype":"string"}]


hub_id: khederwaaOne/saa_soo_see
license: []
language: []
config_name: khederwaaOne
column_names: ["id","audio","transcript","lang_id"]
features:
[{"name":"id","dtype":"int64"},{"name":"audio","dtype":"string"},{"name":"transcript","dtype":"string"},{"name":"lang_id","dtype":"string"}]


hub_id: BohdanPetryshyn/openapi-completion-refined
license: ["mit"]
language: []
config_name: default
column_names: ["file","content"]
features: [{"name":"file","dtype":"string"},{"name":"content","dtype":"string"}]
tags:
["task_categories:text-generation","license:mit","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","arxiv:2405.15729","region:us","croissant"]


hub_id: islam23/data_answers_NF_eval_scores
license: []
language: []
config_name: default
column_names:
["question","context","answer","answer_nf","Br_P","Br_R","Br_F1","Bleu","Rouge_1_F","Rouge_2_F","Rouge_L_F","bert_similarity_score","entailement_score"]

features:
[{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"answer_nf","dtype":"string"},{"name":"Br_P","dtype":"float64"},{"name":"Br_R","dtype":"float64"},{"name":"Br_F1","dtype":"float64"},{"name":"Bleu","dtype":"float64"},{"name":"Rouge_1_F","dtype":"float64"},{"name":"Rouge_2_F","dtype":"float64"},{"name":"Rouge_L_F","dtype":"float64"},{"name":"bert_similarity_score","dtype":"float64"},{"name":"entailement_score","dtype":"float64"}]


hub_id: KaggleMasterX/DPO_Test_50
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["abstract","chosen","rejected"]
features:
[{"name":"abstract","dtype":"string"},{"name":"chosen","dtype":"string"},{"name":"rejected","dtype":"string"}]


hub_id: ai-aerospace/ac-text-embedding-ada-002-ams-test
license: []
language: []
config_name: default
column_names:
["id","source","page","document","embedding","type","used_by_questions","used_by_num_questions","used_by_question_first","question","answer","sources","num_sources","first_source"]

features:
[{"name":"id","dtype":"string"},{"name":"source","dtype":"string"},{"name":"page","dtype":"float64"},{"name":"document","dtype":"string"},{"name":"embedding","sequence":"float64"},{"name":"type","dtype":"string"},{"name":"used_by_questions","sequence":"string"},{"name":"used_by_num_questions","dtype":"float64"},{"name":"used_by_question_first","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"sources","sequence":"string"},{"name":"num_sources","dtype":"float64"},{"name":"first_source","dtype":"string"}]


hub_id: lucas-w/fa-startupschool
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["query","reference_contexts","reference_answer","question_type","metadata","score"]
features:
[{"name":"query","dtype":"string"},{"name":"reference_contexts","sequence":"string"},{"name":"reference_answer","dtype":"string"},{"name":"question_type","dtype":"string"},{"name":"metadata","struct":[{"name":"creation_date","dtype":"string"},{"name":"file_name","dtype":"string"},{"name":"file_path","dtype":"string"},{"name":"file_size","dtype":"int64"},{"name":"file_type","dtype":"string"},{"name":"last_accessed_date","dtype":"string"},{"name":"last_modified_date","dtype":"string"}]},{"name":"score","dtype":"float64"}]


hub_id: jxie/musdb18
license: []
language: []
config_name: default
column_names: ["audio","lyrics","f0"]
features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":44100}}},{"name":"lyrics","dtype":"string"},{"name":"f0","sequence":"float64"}]


hub_id: HC-85/hey-banco-datathon-2024-tweets
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["date","time","tweet"]
features:
[{"name":"date","dtype":"timestamp[ns]"},{"name":"time","dtype":"string"},{"name":"tweet","dtype":"string"}]


hub_id: helloelwin/refined_labels
license: []
language: []
config_name: gsm8k-debate-2
column_names: ["question","answer","gt_answer","judgements","final_judgement","acc"]
features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"gt_answer","dtype":"string"},{"name":"judgements","sequence":"string"},{"name":"final_judgement","dtype":"bool"},{"name":"acc","dtype":"float64"}]


hub_id: KaggleMasterX/DPO_Test_ORPO
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["prompt","__index_level_0__","chosen","rejected"]
features:
[{"name":"prompt","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"},{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: KaggleMasterX/DPO_Data_Top5K
license: []
language: []
config_name: default
column_names:
["bibcode","abstract","id","title","year","read_count","cite_read_boost","citation_count","keyword","PDF_link_url","log_read_count","latent_readcount","log_cite_count","latent_cite_count","log_crb_count","latent_crb_count","clickbait","tempread","tempcit","decision","selected_title","rejected_title"]

features:
[{"name":"bibcode","dtype":"string"},{"name":"abstract","dtype":"string"},{"name":"id","dtype":"int64"},{"name":"title","dtype":"string"},{"name":"year","dtype":"int64"},{"name":"read_count","dtype":"int64"},{"name":"cite_read_boost","dtype":"float64"},{"name":"citation_count","dtype":"int64"},{"name":"keyword","dtype":"string"},{"name":"PDF_link_url","dtype":"string"},{"name":"log_read_count","dtype":"float64"},{"name":"latent_readcount","dtype":"float64"},{"name":"log_cite_count","dtype":"float64"},{"name":"latent_cite_count","dtype":"float64"},{"name":"log_crb_count","dtype":"float64"},{"name":"latent_crb_count","dtype":"float64"},{"name":"clickbait","dtype":"int64"},{"name":"tempread","dtype":"float64"},{"name":"tempcit","dtype":"float64"},{"name":"decision","dtype":"float64"},{"name":"selected_title","dtype":"string"},{"name":"rejected_title","dtype":"string"}]


hub_id: Ali-C137/ary-wikipedia-20231101-MT-PC
license: []
language: []
config_name: default
column_names: ["arabic","english","source","metadata","__index_level_0__"]
features:
[{"name":"arabic","dtype":"string"},{"name":"english","dtype":"string"},{"name":"source","dtype":"string"},{"name":"metadata","dtype":"null"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: cosmicBboy/critical-dream-scenes-mighty-nein-v3
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["episode_name","youtube_id","scene_id","character","speaker","in_game","background","action","object","poses","start_time","end_time","scene_description","turns"]

features:
[{"name":"episode_name","dtype":"string"},{"name":"youtube_id","dtype":"string"},{"name":"scene_id","dtype":"int64"},{"name":"character","dtype":"string"},{"name":"speaker","dtype":"string"},{"name":"in_game","dtype":"int64"},{"name":"background","dtype":"string"},{"name":"action","dtype":"string"},{"name":"object","dtype":"string"},{"name":"poses","dtype":"string"},{"name":"start_time","dtype":"float64"},{"name":"end_time","dtype":"float64"},{"name":"scene_description","dtype":"string"},{"name":"turns","list":[{"name":"end","dtype":"float64"},{"name":"speaker","dtype":"string"},{"name":"start","dtype":"float64"},{"name":"text","dtype":"string"}]}]


hub_id: islam23/Retrival_evaluation_dataset
license: []
language: []
config_name: default
column_names: ["question","context","chunks","num_chunks"]
features:
[{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"chunks","sequence":"string"},{"name":"num_chunks","dtype":"int64"}]


hub_id: jimwang99/TinyStoriesV2-Tokenized
license: ["mit"]
language: []
config_name: default
column_names: ["text","r50k_base","cl100k_base","sentencepiece_tok32k","sentencepiece_tok512"]
features:
[{"name":"text","dtype":"string"},{"name":"r50k_base","sequence":"int64"},{"name":"cl100k_base","sequence":"int64"},{"name":"sentencepiece_tok32k","sequence":"int64"},{"name":"sentencepiece_tok512","sequence":"int64"}]


hub_id: BUAADreamer/pokemon-gpt4-1k
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["messages","images"]
tags:
["task_categories:visual-question-answering","task_categories:image-to-text","language:en","license:apache-2.0","size_categories:n<1K","parquet","image","text","datasets","pandas","mlcroissant","region:us","art","llama-factory","croissant"]

features:
[{"name":"messages","list":[{"name":"role","dtype":"string"},{"name":"content","dtype":"string"}]},{"name":"images","sequence":"image"}]


hub_id: ura-hcmut/Pre-computed-embedding-Mistral-7B-v0.1-arc_challenge
license: []
language: []
config_name: default
column_names: ["question_id","chosen","rejected"]
features:
[{"name":"question_id","dtype":"string"},{"name":"chosen","sequence":"float32"},{"name":"rejected","sequence":"float32"}]


hub_id: pvduy/airoboros-ppo
license: []
language: []
config_name: default
column_names: ["id","category","conversations","messages","conversation"]
features:
[{"name":"id","dtype":"string"},{"name":"category","dtype":"string"},{"name":"conversations","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]},{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"conversation","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: WhissleAI/Minds-toy-tagged
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["dataset_name","intent","path","transcription","emotion","transcription_entity"]
features:
[{"name":"dataset_name","dtype":"string"},{"name":"intent","dtype":"string"},{"name":"path","dtype":"string"},{"name":"transcription","dtype":"string"},{"name":"emotion","dtype":"string"},{"name":"transcription_entity","dtype":"string"}]


hub_id: thowley824/text_w_labels_wide
license: []
language: []
config_name: default
column_names:
["event_id","text_8k_sec_bert_base","text_8k_sec_bert_shape","2_labels_car_-5_5","2_labels_scar_-5_5","2_labels_car_-4_4","2_labels_scar_-4_4","2_labels_car_-3_3","2_labels_scar_-3_3","2_labels_car_-2_2","2_labels_scar_-2_2","2_labels_car_-1_1","2_labels_scar_-1_1","2_labels_car_-1_2","2_labels_scar_-1_2","2_labels_car_-1_3","2_labels_scar_-1_3","2_labels_car_-1_4","2_labels_scar_-1_4","2_labels_car_-1_5","2_labels_scar_-1_5","3_labels_car_-5_5","3_labels_scar_-5_5","3_labels_car_-4_4","3_labels_scar_-4_4","3_labels_car_-3_3","3_labels_scar_-3_3","3_labels_car_-2_2","3_labels_scar_-2_2","3_labels_car_-1_1","3_labels_scar_-1_1","3_labels_car_-1_2","3_labels_scar_-1_2","3_labels_car_-1_3","3_labels_scar_-1_3","3_labels_car_-1_4","3_labels_scar_-1_4","3_labels_car_-1_5","3_labels_scar_-1_5"]

features:
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hub_id: delayedkarma/litgpt_instruction_qa_minimal
license: []
language: []
config_name: default
column_names:
["context","question","answer","source_doc","groundedness_score","groundedness_eval","relevance_score","relevance_eval","standalone_score","standalone_eval"]

features:
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hub_id: adam-narozniak/clothing
license: ["mit"]
language: []
config_name: default
column_names: ["image","objects","width","height"]
features:
[{"name":"image","dtype":"image"},{"name":"objects","sequence":[{"name":"bbox_id","dtype":"int32"},{"name":"category","dtype":{"class_label":{"names":{"0":"shirt, blouse","1":"top, t-shirt, sweatshirt","2":"sweater","3":"cardigan","4":"jacket","5":"vest","6":"pants","7":"shorts","8":"skirt","9":"coat","10":"dress","11":"jumpsuit","12":"cape","13":"glasses","14":"hat","15":"headband, head covering, hair accessory","16":"tie","17":"glove","18":"watch","19":"belt","20":"leg warmer","21":"tights, stockings","22":"sock","23":"shoe","24":"bag, wallet","25":"scarf","26":"umbrella","27":"hood","28":"collar","29":"lapel","30":"epaulette","31":"sleeve","32":"pocket","33":"neckline","34":"buckle","35":"zipper","36":"applique","37":"bead","38":"bow","39":"flower","40":"fringe","41":"ribbon","42":"rivet","43":"ruffle","44":"sequin","45":"tassel","46":"earring","47":"ring","48":"bracelet","49":"necklace","50":"swimsuit","51":"underwear","52":"backpack"}}}},{"name":"bbox","sequence":"int32","length":4},{"name":"area","dtype":"int32"},{"name":"genre","dtype":"string"}]},{"name":"width","dtype":"int64"},{"name":"height","dtype":"int64"}]


hub_id: RLHFlow/Prometheus2-preference-standard
license: []
language: []
config_name: default
column_names: ["rejected","rejected_score","chosen_score","chosen"]
features:
[{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected_score","dtype":"string"},{"name":"chosen_score","dtype":"string"},{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: yuiseki/text2geoql
license: ["wtfpl"]
language: ["en"]
config_name: default
column_names: ["input","input_type","output","output_type"]
tags:
["task_categories:text2text-generation","language:en","license:wtfpl","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","geospatial","synthetic","overpassql","croissant"]

features:
[{"name":"input","dtype":"string"},{"name":"input_type","dtype":"string"},{"name":"output","dtype":"string"},{"name":"output_type","dtype":"string"}]


hub_id: thowley824/dataset_stacked_2_labels
license: []
language: []
config_name: default
column_names:
["event_id","text_8k_sec_bert_base","text_8k_sec_bert_shape","label","abnormal_return_metric","event_window_start","event_window_end"]

features:
[{"name":"event_id","dtype":"int64"},{"name":"text_8k_sec_bert_base","dtype":"string"},{"name":"text_8k_sec_bert_shape","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"non-neutral","1":"neutral"}}}},{"name":"abnormal_return_metric","dtype":"string"},{"name":"event_window_start","dtype":"int64"},{"name":"event_window_end","dtype":"int64"}]


hub_id: sebdg/functions_llama3
license: []
language: []
config_name: default
column_names: ["system","chat","text"]
features:
[{"name":"system","dtype":"string"},{"name":"chat","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: thowley824/dataset_stacked_3_labels
license: []
language: []
config_name: default
column_names:
["event_id","text_8k_sec_bert_base","text_8k_sec_bert_shape","label","abnormal_return_metric","event_window_start","event_window_end"]

features:
[{"name":"event_id","dtype":"int64"},{"name":"text_8k_sec_bert_base","dtype":"string"},{"name":"text_8k_sec_bert_shape","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"low","1":"neutral","2":"high"}}}},{"name":"abnormal_return_metric","dtype":"string"},{"name":"event_window_start","dtype":"int64"},{"name":"event_window_end","dtype":"int64"}]


hub_id: llizhx/sampled_coco2014_val_100
license: []
language: []
config_name: default
column_names:
["question_id","image","question","answer","id","license","file_name","coco_url","height","width","date_captured","instance"]

features:
[{"name":"question_id","dtype":"string"},{"name":"image","dtype":"image"},{"name":"question","dtype":"string"},{"name":"answer","sequence":"string"},{"name":"id","dtype":"int64"},{"name":"license","dtype":"int8"},{"name":"file_name","dtype":"string"},{"name":"coco_url","dtype":"string"},{"name":"height","dtype":"int32"},{"name":"width","dtype":"int32"},{"name":"date_captured","dtype":"string"},{"name":"instance","sequence":"string"}]


hub_id: skumar9/derma_im
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"Abrasion","1":"Abscess","2":"Acne","3":"Actinic Keratosis","4":"Acute and chronic dermatitis","5":"Acute dermatitis","6":"Allergic Contact Dermatitis","7":"Basal Cell Carcinoma","8":"CD - Contact dermatitis","9":"Cellulitis","10":"Chronic dermatitis, NOS","11":"Cutaneous T Cell Lymphoma","12":"Cutaneous lupus","13":"Cutaneous sarcoidosis","14":"Dermatofibroma","15":"Drug Rash","16":"Ecthyma","17":"Eczema","18":"Erythema ab igne","19":"Erythema multiforme","20":"Folliculitis","21":"Granuloma annulare","22":"Hemangioma","23":"Herpes Simplex","24":"Herpes Zoster","25":"Hidradenitis","26":"Hypersensitivity","27":"Impetigo","28":"Infected eczema","29":"Inflicted skin lesions","30":"Insect Bite","31":"Intertrigo","32":"Irritant Contact Dermatitis","33":"Keratosis pilaris","34":"Leukocytoclastic Vasculitis","35":"Lichen Simplex Chronicus","36":"Lichen nitidus","37":"Lichen planus_lichenoid eruption","38":"Livedo reticularis","39":"Melanocytic Nevus","40":"Miliaria","41":"Molluscum Contagiosum","42":"O_E - ecchymoses present","43":"Onychomycosis","44":"Perioral Dermatitis","45":"Photodermatitis","46":"Pigmented purpuric eruption","47":"Pityriasis lichenoides","48":"Pityriasis rosea","49":"Post-Inflammatory hyperpigmentation","50":"Prurigo nodularis","51":"Psoriasis","52":"Purpura","53":"Rosacea","54":"SCC_SCCIS","55":"SK_ISK","56":"Scabies","57":"Scar Condition","58":"Seborrheic Dermatitis","59":"Stasis Dermatitis","60":"Superficial wound of body region","61":"Tinea","62":"Tinea Versicolor","63":"Urticaria","64":"Verruca vulgaris","65":"Viral Exanthem","66":"Xerosis"}}}}]


hub_id: Kukedlc/Curated-Spanish
license: []
language: ["es"]
config_name: default
column_names: ["instruction","context","response","length"]
tags:
["language:es","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"instruction","dtype":"string"},{"name":"context","dtype":"string"},{"name":"response","dtype":"string"},{"name":"length","dtype":"int64"}]


hub_id: lcw99/wikipedia-korean-20240501
license: ["apache-2.0"]
language: ["ko"]
config_name: default
column_names: ["title","section_titles","section_texts","text"]
tags:
["language:ko","license:apache-2.0","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"title","dtype":"string"},{"name":"section_titles","sequence":"string"},{"name":"section_texts","sequence":"string"},{"name":"text","dtype":"string"}]


hub_id: catallama/Catalan-DPO
license: ["apache-2.0"]
language: ["en","ca"]
config_name: default
column_names: ["question","chosen","rejected"]
tags:
["task_categories:text-generation","language:en","language:ca","license:apache-2.0","size_categories:10K<n<100K","region:us"]


hub_id: Rhma/dataset
license: []
language: []
config_name: default
column_names: ["INDEX","HATE_SPEECH","COUNTER_NARRATIVE","VERSION","TARGET","__index_level_0__"]
features:
[{"name":"INDEX","dtype":"int64"},{"name":"HATE_SPEECH","dtype":"string"},{"name":"COUNTER_NARRATIVE","dtype":"string"},{"name":"VERSION","dtype":"string"},{"name":"TARGET","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: Iker/Colossal-Instruction-Translation-EN-ES
license: ["apache-2.0"]
language: ["es","en"]
config_name: default
column_names: ["id","en","es","source","translation_source","translation_model"]
tags:
["task_categories:translation","language:es","language:en","license:apache-2.0","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","synthetic","translation","instruction","croissant"]

features:
[{"name":"id","dtype":"int64"},{"name":"en","dtype":"string"},{"name":"es","dtype":"string"},{"name":"source","dtype":"string"},{"name":"translation_source","dtype":"string"},{"name":"translation_model","dtype":"string"}]


hub_id: NikolaiZhdanov/historical-checkers-games
license: ["mit"]
language: []
config_name: default
column_names: ["white_win","black_win","moves","Site","Round","Event","Date","Black","White","Result"]
features:
[{"name":"white_win","dtype":"bool"},{"name":"black_win","dtype":"bool"},{"name":"moves","dtype":"string"},{"name":"Site","dtype":"string"},{"name":"Round","dtype":"string"},{"name":"Event","dtype":"string"},{"name":"Date","dtype":"string"},{"name":"Black","dtype":"string"},{"name":"White","dtype":"string"},{"name":"Result","dtype":"string"}]


hub_id: HuggingFaceTB/bisac_3B_generations_grade_school_students
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["subcategory","code","top_category","expansion_factor","prompt","subtopic","subtopic_w_explanation","for_inspection","query","text","prompt_grade_school_students","prompt_middle_school_students","prompt_college_students","completion","token_length"]

features:
[{"name":"subcategory","dtype":"string"},{"name":"code","dtype":"string"},{"name":"top_category","dtype":"string"},{"name":"expansion_factor","dtype":"int64"},{"name":"prompt","dtype":"string"},{"name":"subtopic","dtype":"string"},{"name":"subtopic_w_explanation","dtype":"string"},{"name":"for_inspection","dtype":"string"},{"name":"query","dtype":"string"},{"name":"text","dtype":"string"},{"name":"prompt_grade_school_students","dtype":"string"},{"name":"prompt_middle_school_students","dtype":"string"},{"name":"prompt_college_students","dtype":"string"},{"name":"completion","dtype":"string"},{"name":"token_length","dtype":"int64"}]


hub_id: rasdani/cohere-wikipedia-2023-11-de-top100k-views
license: []
language: []
config_name: default
column_names: ["_id","url","title","text","views"]
features:
[{"name":"_id","dtype":"string"},{"name":"url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"views","dtype":"float64"}]


hub_id: thowley824/shape_long_window_2_labels
license: []
language: []
config_name: default
column_names:
["event_id","text_8k_sec_bert_base","text_8k_sec_bert_shape","label","abnormal_return_metric","event_window_start","event_window_end","input_ids","token_type_ids","attention_mask"]

features:
[{"name":"event_id","dtype":"int64"},{"name":"text_8k_sec_bert_base","dtype":"string"},{"name":"text_8k_sec_bert_shape","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"non-neutral","1":"neutral"}}}},{"name":"abnormal_return_metric","dtype":"string"},{"name":"event_window_start","dtype":"int64"},{"name":"event_window_end","dtype":"int64"},{"name":"input_ids","sequence":"int32"},{"name":"token_type_ids","sequence":"int8"},{"name":"attention_mask","sequence":"int8"}]


hub_id: thowley824/shape_long_window_3_labels
license: []
language: []
config_name: default
column_names:
["event_id","text_8k_sec_bert_base","text_8k_sec_bert_shape","label","abnormal_return_metric","event_window_start","event_window_end","input_ids","token_type_ids","attention_mask"]

features:
[{"name":"event_id","dtype":"int64"},{"name":"text_8k_sec_bert_base","dtype":"string"},{"name":"text_8k_sec_bert_shape","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"low","1":"neutral","2":"high"}}}},{"name":"abnormal_return_metric","dtype":"string"},{"name":"event_window_start","dtype":"int64"},{"name":"event_window_end","dtype":"int64"},{"name":"input_ids","sequence":"int32"},{"name":"token_type_ids","sequence":"int8"},{"name":"attention_mask","sequence":"int8"}]


hub_id: Iker/glaive-function-calling-v2-sharegpt
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["id","conversations"]
tags:
["language:en","license:apache-2.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","synthetic","croissant"]


hub_id: rachid16/evaluation_data
license: []
language: []
config_name: default
column_names: ["question","context","answer","Finetuned_answer"]
features:
[{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"Finetuned_answer","dtype":"string"}]


hub_id: Alttek/tfg_cse_cic
license: []
language: []
config_name: default
column_names:
["Flow Pkts/s","Fwd Pkt Len Mean","Tot Fwd Pkts","Init Fwd Win Byts","Fwd Seg Size Avg","Subflow Fwd Pkts","ACK Flag Cnt","Subflow Fwd Byts","Fwd Pkts/s","Fwd Act Data Pkts","Bwd IAT Min","Fwd Header Len","Bwd IAT Mean","Benign","Bot","Brute Force -Web","Brute Force -XSS","DDOS attack-HOIC","DDOS attack-LOIC-UDP","DoS attacks-GoldenEye","DoS attacks-Hulk","DoS attacks-SlowHTTPTest","DoS attacks-Slowloris","FTP-BruteForce","Infilteration","SQL Injection","SSH-Bruteforce"]

features:
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hub_id: Alttek/tfg_nsl_kdd
license: []
language: []
config_name: default
column_names:
["same_srv_rate","dst_host_same_src_port_rate","dst_host_serror_rate","dst_host_same_srv_rate","dst_host_srv_count","dst_host_srv_serror_rate","srv_serror_rate","dst_host_diff_srv_rate","serror_rate","count","rerror_rate","wrong_fragment","dst_host_rerror_rate","dst_host_count","service","dst_host_srv_rerror_rate","logged_in","diff_srv_rate","srv_diff_host_rate","srv_rerror_rate","Label"]

features:
[{"name":"same_srv_rate","dtype":"float64"},{"name":"dst_host_same_src_port_rate","dtype":"float64"},{"name":"dst_host_serror_rate","dtype":"float64"},{"name":"dst_host_same_srv_rate","dtype":"float64"},{"name":"dst_host_srv_count","dtype":"float64"},{"name":"dst_host_srv_serror_rate","dtype":"float64"},{"name":"srv_serror_rate","dtype":"float64"},{"name":"dst_host_diff_srv_rate","dtype":"float64"},{"name":"serror_rate","dtype":"float64"},{"name":"count","dtype":"float64"},{"name":"rerror_rate","dtype":"float64"},{"name":"wrong_fragment","dtype":"float64"},{"name":"dst_host_rerror_rate","dtype":"float64"},{"name":"dst_host_count","dtype":"float64"},{"name":"service","dtype":"float64"},{"name":"dst_host_srv_rerror_rate","dtype":"float64"},{"name":"logged_in","dtype":"float64"},{"name":"diff_srv_rate","dtype":"float64"},{"name":"srv_diff_host_rate","dtype":"float64"},{"name":"srv_rerror_rate","dtype":"float64"},{"name":"Label","dtype":"int64"}]


hub_id: pawlo2013/chest_xray
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"Bacterial","1":"Normal","2":"Viral"}}}}]


hub_id: ruslanmv/ai-medical-dataset
license: ["creativeml-openrail-m"]
language: ["en"]
config_name: default
column_names: ["question","context"]
features: [{"name":"question","dtype":"string"},{"name":"context","dtype":"string"}]
tags:
["language:en","license:creativeml-openrail-m","size_categories:1B<n<10B","parquet","image","text","datasets","dask","mlcroissant","region:us","medical","croissant"]


hub_id: amilmshaji/llm-evaluation
license: []
language: []
config_name: default
column_names:
["id","question","context","response","model_name","latency","input_token_lenght","output_token_length","pricing"]

features:
[{"name":"id","dtype":"int64"},{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"response","dtype":"string"},{"name":"model_name","dtype":"string"},{"name":"latency","dtype":"float64"},{"name":"input_token_lenght","dtype":"int64"},{"name":"output_token_length","dtype":"int64"},{"name":"pricing","dtype":"float64"}]


hub_id: yhavinga/Openhermes-2.5-dutch-46k
license: []
language: []
config_name: default
column_names:
["translation_ok_or_not_why","id","topic","views","conversations_en","conversations_nl","category","skip_prompt_formatting","language","title","model_name","custom_instruction","avatarUrl","system_prompt","model","idx","hash","source"]

features:
[{"name":"translation_ok_or_not_why","dtype":"string"},{"name":"id","dtype":"string"},{"name":"topic","dtype":"string"},{"name":"views","dtype":"string"},{"name":"conversations_en","dtype":"string"},{"name":"conversations_nl","dtype":"string"},{"name":"category","dtype":"string"},{"name":"skip_prompt_formatting","dtype":"string"},{"name":"language","dtype":"string"},{"name":"title","dtype":"string"},{"name":"model_name","dtype":"string"},{"name":"custom_instruction","dtype":"null"},{"name":"avatarUrl","dtype":"string"},{"name":"system_prompt","dtype":"string"},{"name":"model","dtype":"string"},{"name":"idx","dtype":"string"},{"name":"hash","dtype":"string"},{"name":"source","dtype":"string"}]


hub_id: thowley824/shape_long_window_2_labels_car
tags: ["size_categories:10K<n<100K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["labels","input_ids","token_type_ids","attention_mask"]
features:
[{"name":"labels","dtype":{"class_label":{"names":{"0":"non-neutral","1":"neutral"}}}},{"name":"input_ids","sequence":"int32"},{"name":"token_type_ids","sequence":"int8"},{"name":"attention_mask","sequence":"int8"}]


hub_id: thowley824/shape_long_window_3_labels_car
tags: ["size_categories:10K<n<100K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["labels","input_ids","token_type_ids","attention_mask"]
features:
[{"name":"labels","dtype":{"class_label":{"names":{"0":"low","1":"neutral","2":"high"}}}},{"name":"input_ids","sequence":"int32"},{"name":"token_type_ids","sequence":"int8"},{"name":"attention_mask","sequence":"int8"}]


hub_id: prl90777/essay_0_0
license: []
language: []
config_name: default
column_names: ["essay_id","full_text","score"]
features:
[{"name":"essay_id","dtype":"string"},{"name":"full_text","dtype":"string"},{"name":"score","dtype":{"class_label":{"names":{"0":1,"1":2,"2":3,"3":4,"4":5,"5":6},"id":[0,1,2,3,4,5]}}}]


hub_id: arnaudstiegler/synthetic_us_passports_easy
license: ["apache-2.0"]
language: ["en"]
config_name: default
tags:
["task_categories:visual-question-answering","language:en","license:apache-2.0","size_categories:1K<n<10K","parquet","image","text","datasets","dask","mlcroissant","region:us","document","DocumentAI","synthetic","croissant"]

column_names:
["image","Type","Code","Passport_Number","Surname","Given_Names","Nationality","DOB","Place_of_Birth","Sex","Date_of_Issue","Authority","Date_of_Expiration","Endorsements"]

features:
[{"name":"image","dtype":"image"},{"name":"Type","dtype":"string"},{"name":"Code","dtype":"string"},{"name":"Passport_Number","dtype":"int64"},{"name":"Surname","dtype":"string"},{"name":"Given_Names","dtype":"string"},{"name":"Nationality","dtype":"string"},{"name":"DOB","dtype":"string"},{"name":"Place_of_Birth","dtype":"string"},{"name":"Sex","dtype":"string"},{"name":"Date_of_Issue","dtype":"string"},{"name":"Authority","dtype":"string"},{"name":"Date_of_Expiration","dtype":"string"},{"name":"Endorsements","dtype":"string"}]


hub_id: FartLabs/FartDB
license: []
language: []
config_name: default
column_names: ["Canonicalized SMILES","Canonicalized Taste","Original Labels","Source","standardised_smiles"]
tags:
["task_categories:text-classification","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","chemistry","croissant"]

features:
[{"name":"Canonicalized SMILES","dtype":"string"},{"name":"Canonicalized Taste","dtype":"string"},{"name":"Original Labels","dtype":"string"},{"name":"Source","dtype":"string"},{"name":"standardised_smiles","dtype":"string"}]


hub_id: skumar9/derma_llava
license: []
language: []
config_name: default
column_names: ["conversations","id","image"]
features:
[{"name":"conversations","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]},{"name":"id","dtype":"string"},{"name":"image","dtype":"string"}]


hub_id: iambestfeed/corpus_gen_embeddings
license: []
language: []
config_name: default
column_names: ["text","level","topic","embeddings"]
features:
[{"name":"text","dtype":"string"},{"name":"level","dtype":"string"},{"name":"topic","dtype":"string"},{"name":"embeddings","sequence":"float64"}]


hub_id: rachid16/ft_bert_benchmark
license: []
language: []
config_name: default
column_names:
["question","context","answer","Finetuned_answer","BERTScore_Precision","BERTScore_Recall","BERTScore_F1","entailement_score"]

features:
[{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"Finetuned_answer","dtype":"string"},{"name":"BERTScore_Precision","dtype":"float64"},{"name":"BERTScore_Recall","dtype":"float64"},{"name":"BERTScore_F1","dtype":"float64"},{"name":"entailement_score","dtype":"float64"}]


hub_id: graycatHCO3/Simple_SFSA_0200
license: ["mpl-2.0"]
language: []
config_name: default
column_names: ["turn","details"]
tags:
["license:mpl-2.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"turn","dtype":"string"},{"name":"details","struct":[{"name":"actions","list":[{"name":"adversary_0","dtype":"int64"},{"name":"agent_0","dtype":"int64"},{"name":"agent_1","dtype":"int64"}]},{"name":"next_state","struct":[{"name":"adversary_0(Thief)","sequence":"float64"},{"name":"agent_0(Elf Wizard)","sequence":"float64"},{"name":"agent_1(Human Warrior)","sequence":"float64"}]},{"name":"reward","list":[{"name":"adversary_0","dtype":"float64"},{"name":"agent_0","dtype":"float64"},{"name":"agent_1","dtype":"float64"}]},{"name":"state","list":[{"name":"adversary_0(Thief)","sequence":"float64"},{"name":"agent_0(Elf Wizard)","sequence":"float64"},{"name":"agent_1(Human Warrior)","sequence":"float64"}]}]}]


hub_id: iDRAMALab/iDRAMA-rumble-2024
license: ["cc-by-nc-sa-4.0"]
language: ["en"]
config_name: transcripts
column_names: ["v_id","transcription","named_entities"]
tags:
["source_datasets:original","language:en","license:cc-by-nc-sa-4.0","size_categories:100K<n<1M","parquet","image","tabular","text","datasets","dask","mlcroissant","region:us","croissant","idrama-lab","social-media","rumble-platform","youtube"]

features:
[{"name":"v_id","dtype":"string"},{"name":"transcription","dtype":"string"},{"name":"named_entities","dtype":"string"}]


hub_id: CodecSR/librispeech_female
license: []
language: []
config_name: default
column_names: ["audio","text","id","gender"]
features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"text","dtype":"string"},{"name":"id","dtype":"string"},{"name":"gender","dtype":"string"}]


hub_id: asas-ai/ArEntail
license: ["unknown"]
language: ["ar"]
config_name: default
column_names: ["premise","hypothesis","label"]
tags:
["task_categories:text-classification","language:ar","license:unknown","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","Natural Language Inference","croissant"]


hub_id: usableteapot/automat
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["uuid","source","prompt","response","model"]
features:
[{"name":"uuid","dtype":"string"},{"name":"source","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"response","dtype":"string"},{"name":"model","dtype":"string"}]


hub_id: cjfcsjt/MOTIF_automation_preprocess
license: []
language: []
config_name: default
column_names:
["image","image_id","verb_str","action","instr","trace_id","goal","app","screen_w","screen_h","vh_w","vh_h","scale_x","scale_y","types_mc","desc_mc","bbox_mc","__index_level_0__","__index_level_1__"]

features:
[{"name":"image","struct":[{"name":"bytes","dtype":"binary"},{"name":"path","dtype":"null"}]},{"name":"image_id","dtype":"string"},{"name":"verb_str","dtype":"string"},{"name":"action","dtype":"string"},{"name":"instr","dtype":"string"},{"name":"trace_id","dtype":"string"},{"name":"goal","dtype":"string"},{"name":"app","dtype":"string"},{"name":"screen_w","dtype":"int64"},{"name":"screen_h","dtype":"int64"},{"name":"vh_w","dtype":"int64"},{"name":"vh_h","dtype":"int64"},{"name":"scale_x","dtype":"float64"},{"name":"scale_y","dtype":"float64"},{"name":"types_mc","sequence":"int64"},{"name":"desc_mc","sequence":"string"},{"name":"bbox_mc","sequence":{"sequence":"float64"}},{"name":"__index_level_0__","dtype":"string"},{"name":"__index_level_1__","dtype":"int64"}]


hub_id: mbodiai/xarm_sunday
license: []
language: []
config_name: default
column_names: ["instruction","task","image","action"]
features:
[{"name":"instruction","dtype":"string"},{"name":"task","dtype":"string"},{"name":"image","dtype":"image"},{"name":"action","dtype":"string"}]


hub_id: asas-ai/Arabic-Dataset-for-Commonsense-Validationion
license: ["cc0-1.0"]
language: ["ar"]
config_name: default
column_names: ["id","sent1","sent2","label"]
tags:
["task_categories:text-classification","language:ar","license:cc0-1.0","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","Commonsense Validationion","croissant"]

features:
[{"name":"id","dtype":"int64"},{"name":"sent1","dtype":"string"},{"name":"sent2","dtype":"string"},{"name":"label","dtype":"int64"}]


hub_id: ycfNTU/wiki_asp_infrastructure_llama2_7b_v1.0
license: []
language: []
config_name: default
column_names: ["exid","inputs","targets","summary"]
features:
[{"name":"exid","dtype":"string"},{"name":"inputs","dtype":"string"},{"name":"targets","sequence":{"sequence":"string"}},{"name":"summary","dtype":"string"}]


hub_id: udit-k/Thirukural-EnglishMeaning
license: []
language: []
config_name: default
column_names: ["ChapterName","Kural","EnglishMeaning"]
features:
[{"name":"ChapterName","dtype":"string"},{"name":"Kural","dtype":"string"},{"name":"EnglishMeaning","dtype":"string"}]


hub_id: asas-ai/Arabic-satire-dataset
license: ["unknown"]
language: ["ar"]
config_name: default
column_names: ["text","label"]
features: [{"name":"text","dtype":"string"},{"name":"label","dtype":"string"}]
tags:
["task_categories:text-classification","language:ar","license:unknown","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: afrizalha/wikipedia-Only-Indo-Articles-About-Indo
license: []
language: ["id"]
config_name: default
column_names: ["id","url","title","text","word_count"]
tags:
["language:id","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"word_count","dtype":"int64"}]


hub_id: IlyaGusev/lmsys_clean_ru_queries
license: []
language: ["ru"]
config_name: default
column_names: ["prompt"]
features: [{"name":"prompt","dtype":"string"}]
tags:
["language:ru","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: amphora/findq
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","oq","oa","aq","a","b","c","d","gidx","sudo_labels"]
features:
[{"name":"id","dtype":"string"},{"name":"oq","dtype":"string"},{"name":"oa","dtype":"string"},{"name":"aq","dtype":"string"},{"name":"a","dtype":"string"},{"name":"b","dtype":"string"},{"name":"c","dtype":"string"},{"name":"d","dtype":"string"},{"name":"gidx","dtype":"int64"},{"name":"sudo_labels","dtype":"string"}]


hub_id: contemmcm/amazon_reviews_polarity_2013
license: []
language: []
config_name: video-game
tags:
["task_categories:text-classification","size_categories:10M<n<100M","parquet","tabular","text","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["product/title","product/price","review/helpfulness","review/score","review/time","review/summary","review/text","product/category","review/helpfulness_ratio","review/helpfulness_total_votes"]

features:
[{"name":"product/title","dtype":"string"},{"name":"product/price","dtype":"string"},{"name":"review/helpfulness","dtype":"string"},{"name":"review/score","dtype":{"class_label":{"names":{"0":"negative","1":"positive"}}}},{"name":"review/time","dtype":"int64"},{"name":"review/summary","dtype":"string"},{"name":"review/text","dtype":"string"},{"name":"product/category","dtype":{"class_label":{"names":{"0":"Amazon Instant Video","1":"Arts","2":"Automotive","3":"Baby","4":"Beauty","5":"Book","6":"Cell Phone","7":"Clothing","8":"Electronics","9":"Gourmet Food","10":"Health","11":"Home & Kitchen","12":"Industrial & Scientific","13":"Jewelry","14":"Kindle Store","15":"Movie & TV","16":"Musical Instrument","17":"Music","18":"Office","19":"Patio","20":"Pet Supply","21":"Shoe","22":"Software","23":"Sports & Outdoor","24":"Tools & Home Improvement","25":"Toy & Game","26":"Video Game","27":"Watch"}}}},{"name":"review/helpfulness_ratio","dtype":"float64"},{"name":"review/helpfulness_total_votes","dtype":"int64"}]


hub_id: delayedkarma/litgpt_instruction_qa
license: []
language: []
config_name: default
column_names:
["context","question","answer","source_doc","groundedness_score","groundedness_eval","relevance_score","relevance_eval","standalone_score","standalone_eval"]

features:
[{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"source_doc","dtype":"string"},{"name":"groundedness_score","dtype":"float64"},{"name":"groundedness_eval","dtype":"string"},{"name":"relevance_score","dtype":"float64"},{"name":"relevance_eval","dtype":"string"},{"name":"standalone_score","dtype":"float64"},{"name":"standalone_eval","dtype":"string"}]


hub_id: StrangeSX/SGXT1
license: ["mit"]
language: []
config_name: default
column_names: ["prompt","chosen","rejected","score_chosen","score_rejected","Category","messages"]
features:
[{"name":"prompt","dtype":"string"},{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"score_chosen","dtype":"float64"},{"name":"score_rejected","dtype":"float64"},{"name":"Category","dtype":"string"},{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: StrangeSX/RawdataforAUNQA_TH
license: ["mit"]
language: []
config_name: default
column_names: ["prompt","chosen","rejected","score_chosen","score_rejected","Category","instruction"]
features:
[{"name":"prompt","dtype":"string"},{"name":"chosen","dtype":"string"},{"name":"rejected","dtype":"string"},{"name":"score_chosen","dtype":"float64"},{"name":"score_rejected","dtype":"float64"},{"name":"Category","dtype":"string"},{"name":"instruction","dtype":"string"}]


hub_id: BEE-spoke-data/fineweb-1000_64k
license: ["odc-by"]
language: ["en"]
config_name: eduscore
column_names: ["text","scores","int_scores"]
tags:
["language:en","license:odc-by","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"scores","sequence":"float64"},{"name":"int_scores","sequence":"int64"}]


hub_id: llm-values/self_response_Qwen__Qwen1.5_72B_answers
license: []
language: []
config_name: default
column_names:
["prompt ID","language","topic","labels","original prompt","translated prompt","answer: Qwen/Qwen1.5-72B - original","answer: Qwen/Qwen1.5-72B - translated","pos priming phrase 0 - original","pos priming phrase 0, answer: Yes - original","pos priming phrase 0, answer Yes logprob - original","pos priming phrase 0, answer: No - original","pos priming phrase 0, answer No logprob - original","pos priming phrase 1 - original","pos priming phrase 1, answer: Yes - original","pos priming phrase 1, answer Yes logprob - original","pos priming phrase 1, answer: No - original","pos priming phrase 1, answer No logprob - original","pos priming phrase 2 - original","pos priming phrase 2, answer: Yes - original","pos priming phrase 2, answer Yes logprob - original","pos priming phrase 2, answer: No - original","pos priming phrase 2, answer No logprob - original","neg priming phrase 0 - original","neg priming phrase 0, answer: Yes - original","neg priming phrase 0, answer Yes logprob - original","neg priming phrase 0, answer: No - original","neg priming phrase 0, answer No logprob - original","neg priming phrase 1 - original","neg priming phrase 1, answer: Yes - original","neg priming phrase 1, answer Yes logprob - original","neg priming phrase 1, answer: No - original","neg priming phrase 1, answer No logprob - original","neg priming phrase 2 - original","neg priming phrase 2, answer: Yes - original","neg priming phrase 2, answer Yes logprob - original","neg priming phrase 2, answer: No - original","neg priming phrase 2, answer No logprob - original","pos priming phrase 0 - translated","pos priming phrase 0, answer: Yes - translated","pos priming phrase 0, answer Yes logprob - translated","pos priming phrase 0, answer: No - translated","pos priming phrase 0, answer No logprob - translated","pos priming phrase 1 - translated","pos priming phrase 1, answer: Yes - translated","pos priming phrase 1, answer Yes logprob - translated","pos priming phrase 1, answer: No - translated","pos priming phrase 1, answer No logprob - translated","pos priming phrase 2 - translated","pos priming phrase 2, answer: Yes - translated","pos priming phrase 2, answer Yes logprob - translated","pos priming phrase 2, answer: No - translated","pos priming phrase 2, answer No logprob - translated","neg priming phrase 0 - translated","neg priming phrase 0, answer: Yes - translated","neg priming phrase 0, answer Yes logprob - translated","neg priming phrase 0, answer: No - translated","neg priming phrase 0, answer No logprob - translated","neg priming phrase 1 - translated","neg priming phrase 1, answer: Yes - translated","neg priming phrase 1, answer Yes logprob - translated","neg priming phrase 1, answer: No - translated","neg priming phrase 1, answer No logprob - translated","neg priming phrase 2 - translated","neg priming phrase 2, answer: Yes - translated","neg priming phrase 2, answer Yes logprob - translated","neg priming phrase 2, answer: No - translated","neg priming phrase 2, answer No logprob - translated"]

features:
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hub_id: llm-values/self_response_01_ai__Yi_6B_answers
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: Inishds/function_calling
license: []
language: []
config_name: default
column_names: ["User Input","LLM Output","Function Description","formatted_string"]
features:
[{"name":"User Input","dtype":"string"},{"name":"LLM Output","dtype":"string"},{"name":"Function Description","dtype":"string"},{"name":"formatted_string","dtype":"string"}]


hub_id: NickyNicky/Iker-Colossal-Instruction-Translation-EN-ES_deduplicated
license: ["apache-2.0"]
language: ["en","es"]
config_name: default
column_names: ["id","en","es","source","translation_source","translation_model","is_unique"]
tags:
["task_categories:translation","language:en","language:es","license:apache-2.0","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"int64"},{"name":"en","dtype":"string"},{"name":"es","dtype":"string"},{"name":"source","dtype":"string"},{"name":"translation_source","dtype":"string"},{"name":"translation_model","dtype":"string"},{"name":"is_unique","dtype":"bool"}]


hub_id: khederwaaOne/sa_s
license: []
language: []
config_name: default
column_names: ["set","file_name","audio"]
features:
[{"name":"set","dtype":"string"},{"name":"file_name","dtype":"string"},{"name":"audio","sequence":"string"}]


hub_id: HuggingFaceTB/stanford_old_idx_2B_prompts_college_students
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["Unnamed: 0","number","title","description","topic_hits","query","prompt_college_students"]
features:
[{"name":"Unnamed: 0","dtype":"int64"},{"name":"number","dtype":"string"},{"name":"title","dtype":"string"},{"name":"description","dtype":"string"},{"name":"topic_hits","struct":[{"name":"_id","dtype":"string"},{"name":"_score","dtype":"int64"},{"name":"_source","struct":[{"name":"content","dtype":"string"},{"name":"fw_id","dtype":"string"},{"name":"language_score","dtype":"float64"},{"name":"token_count","dtype":"int64"},{"name":"url","dtype":"string"}]}]},{"name":"query","dtype":"string"},{"name":"prompt_college_students","dtype":"string"}]


hub_id: Iker/OpenHermes-2.5-English-Spanish
license: ["apache-2.0"]
language: ["en","es"]
config_name: default
column_names: ["id","conversations_english","conversations_spanish"]
tags:
["task_categories:translation","language:en","language:es","license:apache-2.0","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","synthetic","croissant"]

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


hub_id: asas-ai/ArabGend
license: ["unknown"]
language: ["ar"]
config_name: default
column_names: ["gender","name_first_word"]
features: [{"name":"gender","dtype":"string"},{"name":"name_first_word","dtype":"string"}]
tags:
["task_categories:text-classification","language:ar","license:unknown","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","Gender Identification","croissant"]


hub_id: theodorr/ljspeech
license: []
language: []
config_name: default
column_names: ["id","audio","file","text","normalized_text","align","audio_token","text_token","align_token"]
features:
[{"name":"id","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":22050}}},{"name":"file","dtype":"string"},{"name":"text","dtype":"string"},{"name":"normalized_text","dtype":"string"},{"name":"align","sequence":"string"},{"name":"audio_token","sequence":{"sequence":{"sequence":{"sequence":"int64"}}}},{"name":"text_token","sequence":"int64"},{"name":"align_token","sequence":{"sequence":"string"}}]


hub_id: DeepFoldProtein/afdb_over80_MeriUni95_processed_512_fixed
license: []
language: []
config_name: default
column_names:
["uniprotAccession","domain_labels","ndom","taxId","seq","input_ids","special_tokens_mask","attention_mask"]

features:
[{"name":"uniprotAccession","dtype":"string"},{"name":"domain_labels","sequence":{"sequence":"int64"}},{"name":"ndom","dtype":"int64"},{"name":"taxId","dtype":"string"},{"name":"seq","dtype":"string"},{"name":"input_ids","sequence":"int32"},{"name":"special_tokens_mask","sequence":"int8"},{"name":"attention_mask","sequence":"int8"}]


hub_id: RLHFlow/SHP-standard
license: []
language: []
config_name: default
column_names: ["rejected","chosen","chosen_score","rejected_score"]
features:
[{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"chosen_score","dtype":"int64"},{"name":"rejected_score","dtype":"int64"}]


hub_id: Dtimes/100HellaSwag
license: []
language: []
config_name: v3
column_names:
["ind","activity_label","ctx_a","ctx_b","ctx","endings","source_id","split","split_type","label","example","sorted_index","model_avg_acc","difficulty","difficulty_std","discrimination","guessing","feasibility"]

features:
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hub_id: Dtimes/100Winogrande
license: []
language: []
config_name: v3
column_names:
["sentence","option1","option2","answer","example","sorted_index","model_avg_acc","difficulty","difficulty_std","discrimination","guessing","feasibility"]

features:
[{"name":"sentence","dtype":"string"},{"name":"option1","dtype":"string"},{"name":"option2","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"example","dtype":"string"},{"name":"sorted_index","dtype":"int64"},{"name":"model_avg_acc","dtype":"float64"},{"name":"difficulty","dtype":"float64"},{"name":"difficulty_std","dtype":"float64"},{"name":"discrimination","dtype":"float64"},{"name":"guessing","dtype":"float64"},{"name":"feasibility","dtype":"float64"}]


hub_id: llm-values/self_response_2_01_ai__Yi_6B_answers
license: []
language: []
config_name: default
column_names:
["prompt ID","language","topic","labels","original prompt","translated prompt","answer: 01-ai/Yi-6B - original","answer: 01-ai/Yi-6B - translated","pos priming phrase 0 - original","pos priming phrase 0, answer: Yes - original","pos priming phrase 0, answer Yes logprob - original","pos priming phrase 0, answer: No - original","pos priming phrase 0, answer No logprob - original","neg priming phrase 0 - original","neg priming phrase 0, answer: Yes - original","neg priming phrase 0, answer Yes logprob - original","neg priming phrase 0, answer: No - original","neg priming phrase 0, answer No logprob - original","pos priming phrase 0 - translated","pos priming phrase 0, answer: Yes - translated","pos priming phrase 0, answer Yes logprob - translated","pos priming phrase 0, answer: No - translated","pos priming phrase 0, answer No logprob - translated","neg priming phrase 0 - translated","neg priming phrase 0, answer: Yes - translated","neg priming phrase 0, answer Yes logprob - translated","neg priming phrase 0, answer: No - translated","neg priming phrase 0, answer No logprob - translated"]

features:
[{"name":"prompt ID","dtype":"int64"},{"name":"language","dtype":"string"},{"name":"topic","dtype":"string"},{"name":"labels","sequence":"string"},{"name":"original prompt","dtype":"string"},{"name":"translated prompt","dtype":"string"},{"name":"answer: 01-ai/Yi-6B - original","dtype":"string"},{"name":"answer: 01-ai/Yi-6B - translated","dtype":"string"},{"name":"pos priming phrase 0 - original","dtype":"string"},{"name":"pos priming phrase 0, answer: Yes - original","dtype":"string"},{"name":"pos priming phrase 0, answer Yes logprob - original","dtype":"float64"},{"name":"pos priming phrase 0, answer: No - original","dtype":"string"},{"name":"pos priming phrase 0, answer No logprob - original","dtype":"float64"},{"name":"neg priming phrase 0 - original","dtype":"string"},{"name":"neg priming phrase 0, answer: Yes - original","dtype":"string"},{"name":"neg priming phrase 0, answer Yes logprob - original","dtype":"float64"},{"name":"neg priming phrase 0, answer: No - original","dtype":"string"},{"name":"neg priming phrase 0, answer No logprob - original","dtype":"float64"},{"name":"pos priming phrase 0 - translated","dtype":"string"},{"name":"pos priming phrase 0, answer: Yes - translated","dtype":"string"},{"name":"pos priming phrase 0, answer Yes logprob - translated","dtype":"float64"},{"name":"pos priming phrase 0, answer: No - translated","dtype":"string"},{"name":"pos priming phrase 0, answer No logprob - translated","dtype":"float64"},{"name":"neg priming phrase 0 - translated","dtype":"string"},{"name":"neg priming phrase 0, answer: Yes - translated","dtype":"string"},{"name":"neg priming phrase 0, answer Yes logprob - translated","dtype":"float64"},{"name":"neg priming phrase 0, answer: No - translated","dtype":"string"},{"name":"neg priming phrase 0, answer No logprob - translated","dtype":"float64"}]


hub_id: DevQuasar/brainstorm_vicuna_1k
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["id","conversations"]
tags:
["license:apache-2.0","size_categories:1K<n<10K","json","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: DataStudio/Vietnamese_Text2Speech_AB1
license: []
language: ["vi"]
config_name: default
column_names: ["audio","content"]
features: [{"name":"audio","dtype":"audio"},{"name":"content","dtype":"string"}]
tags:
["task_categories:text-to-speech","language:vi","size_categories:100K<n<1M","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: NickyNicky/Iker-Colossal-Instruction-Translation-EN-ES_deduplicated_length_3600
license: ["apache-2.0"]
language: ["en","es"]
config_name: default
tags:
["task_categories:translation","language:en","language:es","license:apache-2.0","size_categories:1M<n<10M","parquet","tabular","text","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["id","en","es","source","translation_source","translation_model","is_unique","en_length","es_length"]

features:
[{"name":"id","dtype":"int64"},{"name":"en","dtype":"string"},{"name":"es","dtype":"string"},{"name":"source","dtype":"string"},{"name":"translation_source","dtype":"string"},{"name":"translation_model","dtype":"string"},{"name":"is_unique","dtype":"bool"},{"name":"en_length","dtype":"int64"},{"name":"es_length","dtype":"int64"}]


hub_id: a-namizuka/chatbot-arena-ja-calm2-7b-chat-experimental-autotrain-dpo-formatted-100
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["prompt","text","rejected"]
features:
[{"name":"prompt","dtype":"string"},{"name":"text","dtype":"string"},{"name":"rejected","dtype":"string"}]


hub_id: TVRRaviteja/iCare_Conversation_Data_Transformed
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["SystemPrompt","Context","User","Assistant","text"]
features:
[{"name":"SystemPrompt","dtype":"string"},{"name":"Context","dtype":"string"},{"name":"User","dtype":"string"},{"name":"Assistant","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: lilyyellow/func_calling_v4
license: []
language: []
config_name: default
column_names: ["system","keyword","prompt","response","task","__index_level_0__"]
features:
[{"name":"system","dtype":"string"},{"name":"keyword","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"response","struct":[{"name":"content","dtype":"string"},{"name":"task","dtype":"string"}]},{"name":"task","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: huy-nh-2000/wikilingua
license: []
language: []
config_name: vietnamese
column_names: ["id","split","src_en","tgt_en","src_lang","tgt_lang"]
features:
[{"name":"id","dtype":"string"},{"name":"split","dtype":"string"},{"name":"src_en","dtype":"string"},{"name":"tgt_en","dtype":"string"},{"name":"src_lang","dtype":"string"},{"name":"tgt_lang","dtype":"string"}]


hub_id: Nischay103/captcha-images-processed
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["image","label"]
features: [{"name":"image","dtype":"image"},{"name":"label","dtype":"string"}]
tags:
["license:apache-2.0","size_categories:1M<n<10M","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: GENIAC-Team-Ozaki/WikiHowNFQA-ja
license: ["cc-by-4.0"]
language: ["ja"]
config_name: default
column_names: ["article_id","question","answer","question_en","answer_en"]
tags:
["task_categories:question-answering","language:ja","license:cc-by-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"article_id","dtype":"int64"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"question_en","dtype":"string"},{"name":"answer_en","dtype":"string"}]


hub_id: MayAlsofyani/resultOpenMP1
license: []
language: []
config_name: default
column_names: ["text","label","response"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"response","dtype":"string"}]


hub_id: mbodiai/xarm_teleop
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["episode","steps"]
features:
[{"name":"episode","dtype":"string"},{"name":"steps","list":[{"name":"past_images","list":"image"},{"name":"past_actions","dtype":{"array2_d":{"shape":[1,7],"dtype":"float32"}}},{"name":"future_actions","dtype":{"array2_d":{"shape":[6,7],"dtype":"float32"}}},{"name":"instruction","dtype":"string"}]}]


hub_id: damerajee/long_context_hindi
license: ["cc-by-4.0"]
language: ["hi","en"]
config_name: default
column_names: ["doc_id","type","text"]
tags:
["task_categories:text-generation","language:hi","language:en","license:cc-by-4.0","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"doc_id","dtype":"string"},{"name":"type","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: xDAN-Engine/OpenOrca_full_prompt
license: []
language: []
config_name: default
column_names: ["id","system_prompt","question","response","merged"]
features:
[{"name":"id","dtype":"string"},{"name":"system_prompt","dtype":"string"},{"name":"question","dtype":"string"},{"name":"response","dtype":"string"},{"name":"merged","dtype":"string"}]


hub_id: dattaraj/rag_eval_cybersecurity
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["choices","answer","question","context","text"]
features:
[{"name":"choices","sequence":"string"},{"name":"answer","dtype":"string"},{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: Ani8Face/travel_log
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["train"]
features:
[{"name":"train","struct":[{"name":"Demand Forecast","dtype":"string"},{"name":"Destination","dtype":"string"},{"name":"Text","dtype":"string"},{"name":"Time Period","dtype":"string"},{"name":"attention_mask","sequence":"int64"},{"name":"input_ids","sequence":"int64"}]}]


hub_id: zenpulsar/post_finance_crypto_2024-03_to_2024-03
license: []
language: []
config_name: default
column_names: ["id","content","label"]
features:
[{"name":"id","dtype":"string"},{"name":"content","dtype":"string"},{"name":"label","dtype":"string"}]


hub_id: cornfieldrm/ArmoRM-MoE-preference-dataset-v0.1
license: []
language: []
config_name: default
column_names: ["dataset","chosen","rejected","id"]
features:
[{"name":"dataset","dtype":"string"},{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"id","dtype":"string"}]


hub_id: nayohan/raw_translate_corpus_uniform
license: []
language: []
config_name: default
column_names: ["english","korean","from","category"]
features:
[{"name":"english","dtype":"string"},{"name":"korean","dtype":"string"},{"name":"from","dtype":"string"},{"name":"category","dtype":"string"}]


hub_id: NickyNicky/Colossal_Translation_Spanish_to_English_AND_English_to_Spanish_ORPO_DPO_Gemma
license: ["apache-2.0"]
language: ["en","es"]
config_name: default
column_names: ["prompt","chosen","rejected","task"]
tags:
["task_categories:translation","language:en","language:es","license:apache-2.0","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"prompt","dtype":"string"},{"name":"chosen","dtype":"string"},{"name":"rejected","dtype":"string"},{"name":"task","dtype":"string"}]


hub_id: danielkosyra/testDataset8020
license: []
language: []
config_name: default
column_names: ["id","title","categories","abstract","created_at"]
features:
[{"name":"id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"categories","dtype":"string"},{"name":"abstract","dtype":"string"},{"name":"created_at","dtype":"string"}]


hub_id: Manoj21k/Entity_Extraction_SQL
license: []
language: ["en"]
config_name: default
column_names: ["instruction","input","output"]
features:
[{"name":"instruction","dtype":"string"},{"name":"input","dtype":"string"},{"name":"output","struct":[{"name":"SKU","dtype":"string"},{"name":"brand","dtype":"string"},{"name":"category","dtype":"string"},{"name":"company","dtype":"string"},{"name":"department","dtype":"string"},{"name":"division","dtype":"string"},{"name":"product","dtype":"string"},{"name":"region","dtype":"string"}]}]


hub_id: ura-hcmut/Generated-texts-Llama-2-7b-hf-reward_bench
license: []
language: []
config_name: default
column_names:
["Prompt","Generated_Text_1","Generated_Text_2","Generated_Text_3","Generated_Text_4","Generated_Text_5","Generated_Text_6","Generated_Text_7","Generated_Text_8","Generated_Text_9","Generated_Text_10","Generated_Text_11","Generated_Text_12","Generated_Text_13","Generated_Text_14","Generated_Text_15","Generated_Text_16","Generated_Text_17","Generated_Text_18","Generated_Text_19","Generated_Text_20","Generated_Text_21","Generated_Text_22","Generated_Text_23","Generated_Text_24","Generated_Text_25","Generated_Text_26","Generated_Text_27","Generated_Text_28","Generated_Text_29","Generated_Text_30","Generated_Text_31","Generated_Text_32","Generated_Text_33","Generated_Text_34","Generated_Text_35","Generated_Text_36","Generated_Text_37","Generated_Text_38","Generated_Text_39","Generated_Text_40","Generated_Text_41","Generated_Text_42","Generated_Text_43","Generated_Text_44","Generated_Text_45","Generated_Text_46","Generated_Text_47","Generated_Text_48","Generated_Text_49","Generated_Text_50","Generated_Text_51","Generated_Text_52","Generated_Text_53","Generated_Text_54","Generated_Text_55","Generated_Text_56","Generated_Text_57","Generated_Text_58","Generated_Text_59","Generated_Text_60","Generated_Text_61","Generated_Text_62","Generated_Text_63","Generated_Text_64","Generated_Text_65","Generated_Text_66","Generated_Text_67","Generated_Text_68","Generated_Text_69","Generated_Text_70","Generated_Text_71","Generated_Text_72","Generated_Text_73","Generated_Text_74","Generated_Text_75","Generated_Text_76","Generated_Text_77","Generated_Text_78","Generated_Text_79","Generated_Text_80","Generated_Text_81","Generated_Text_82","Generated_Text_83","Generated_Text_84","Generated_Text_85","Generated_Text_86","Generated_Text_87","Generated_Text_88","Generated_Text_89","Generated_Text_90","Generated_Text_91","Generated_Text_92","Generated_Text_93","Generated_Text_94","Generated_Text_95","Generated_Text_96","Generated_Text_97","Generated_Text_98","Generated_Text_99","Generated_Text_100"]

features:
[{"name":"Prompt","dtype":"string"},{"name":"Generated_Text_1","dtype":"string"},{"name":"Generated_Text_2","dtype":"string"},{"name":"Generated_Text_3","dtype":"string"},{"name":"Generated_Text_4","dtype":"string"},{"name":"Generated_Text_5","dtype":"string"},{"name":"Generated_Text_6","dtype":"string"},{"name":"Generated_Text_7","dtype":"string"},{"name":"Generated_Text_8","dtype":"string"},{"name":"Generated_Text_9","dtype":"string"},{"name":"Generated_Text_10","dtype":"string"},{"name":"Generated_Text_11","dtype":"string"},{"name":"Generated_Text_12","dtype":"string"},{"name":"Generated_Text_13","dtype":"string"},{"name":"Generated_Text_14","dtype":"string"},{"name":"Generated_Text_15","dtype":"string"},{"name":"Generated_Text_16","dtype":"string"},{"name":"Generated_Text_17","dtype":"string"},{"name":"Generated_Text_18","dtype":"string"},{"name":"Generated_Text_19","dtype":"string"},{"name":"Generated_Text_20","dtype":"string"},{"name":"Generated_Text_21","dtype":"string"},{"name":"Generated_Text_22","dtype":"string"},{"name":"Generated_Text_23","dtype":"string"},{"name":"Generated_Text_24","dtype":"string"},{"name":"Generated_Text_25","dtype":"string"},{"name":"Generated_Text_26","dtype":"string"},{"name":"Generated_Text_27","dtype":"string"},{"name":"Generated_Text_28","dtype":"string"},{"name":"Generated_Text_29","dtype":"string"},{"name":"Generated_Text_30","dtype":"string"},{"name":"Generated_Text_31","dtype":"string"},{"name":"Generated_Text_32","dtype":"string"},{"name":"Generated_Text_33","dtype":"string"},{"name":"Generated_Text_34","dtype":"string"},{"name":"Generated_Text_35","dtype":"string"},{"name":"Generated_Text_36","dtype":"string"},{"name":"Generated_Text_37","dtype":"string"},{"name":"Generated_Text_38","dtype":"string"},{"name":"Generated_Text_39","dtype":"string"},{"name":"Generated_Text_40","dtype":"string"},{"name":"Generated_Text_41","dtype":"string"},{"name":"Generated_Text_42","dtype":"string"},{"name":"Generated_Text_43","dtype":"string"},{"name":"Generated_Text_44","dtype":"string"},{"name":"Generated_Text_45","dtype":"string"},{"name":"Generated_Text_46","dtype":"string"},{"name":"Generated_Text_47","dtype":"string"},{"name":"Generated_Text_48","dtype":"string"},{"name":"Generated_Text_49","dtype":"string"},{"name":"Generated_Text_50","dtype":"string"},{"name":"Generated_Text_51","dtype":"string"},{"name":"Generated_Text_52","dtype":"string"},{"name":"Generated_Text_53","dtype":"string"},{"name":"Generated_Text_54","dtype":"string"},{"name":"Generated_Text_55","dtype":"string"},{"name":"Generated_Text_56","dtype":"string"},{"name":"Generated_Text_57","dtype":"string"},{"name":"Generated_Text_58","dtype":"string"},{"name":"Generated_Text_59","dtype":"string"},{"name":"Generated_Text_60","dtype":"string"},{"name":"Generated_Text_61","dtype":"string"},{"name":"Generated_Text_62","dtype":"string"},{"name":"Generated_Text_63","dtype":"string"},{"name":"Generated_Text_64","dtype":"string"},{"name":"Generated_Text_65","dtype":"string"},{"name":"Generated_Text_66","dtype":"string"},{"name":"Generated_Text_67","dtype":"string"},{"name":"Generated_Text_68","dtype":"string"},{"name":"Generated_Text_69","dtype":"string"},{"name":"Generated_Text_70","dtype":"string"},{"name":"Generated_Text_71","dtype":"string"},{"name":"Generated_Text_72","dtype":"string"},{"name":"Generated_Text_73","dtype":"string"},{"name":"Generated_Text_74","dtype":"string"},{"name":"Generated_Text_75","dtype":"string"},{"name":"Generated_Text_76","dtype":"string"},{"name":"Generated_Text_77","dtype":"string"},{"name":"Generated_Text_78","dtype":"string"},{"name":"Generated_Text_79","dtype":"string"},{"name":"Generated_Text_80","dtype":"string"},{"name":"Generated_Text_81","dtype":"string"},{"name":"Generated_Text_82","dtype":"string"},{"name":"Generated_Text_83","dtype":"string"},{"name":"Generated_Text_84","dtype":"string"},{"name":"Generated_Text_85","dtype":"string"},{"name":"Generated_Text_86","dtype":"string"},{"name":"Generated_Text_87","dtype":"string"},{"name":"Generated_Text_88","dtype":"string"},{"name":"Generated_Text_89","dtype":"string"},{"name":"Generated_Text_90","dtype":"string"},{"name":"Generated_Text_91","dtype":"string"},{"name":"Generated_Text_92","dtype":"string"},{"name":"Generated_Text_93","dtype":"string"},{"name":"Generated_Text_94","dtype":"string"},{"name":"Generated_Text_95","dtype":"string"},{"name":"Generated_Text_96","dtype":"string"},{"name":"Generated_Text_97","dtype":"string"},{"name":"Generated_Text_98","dtype":"string"},{"name":"Generated_Text_99","dtype":"string"},{"name":"Generated_Text_100","dtype":"string"}]


hub_id: 37channel/news-dataset-20240505-g-rss-step-1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["title","url","content","date","index","step","interested-llm"]
features:
[{"name":"title","dtype":"string"},{"name":"url","dtype":"string"},{"name":"content","dtype":"string"},{"name":"date","dtype":"string"},{"name":"index","dtype":"int64"},{"name":"step","dtype":"string"},{"name":"interested-llm","dtype":"string"}]


hub_id: C-Ilyas/whisper-darija
license: ["apache-2.0"]
language: ["ar"]
config_name: default
column_names: ["audio","text","start_time","end_time"]
tags:
["task_categories:text-generation","language:ar","license:apache-2.0","size_categories:1K<n<10K","region:us"]


hub_id: nayohan/translate_corpus_uniform_313k
license: []
language: []
config_name: default
column_names: ["english","korean","from","category","en_token_len","ko_token_len"]
features:
[{"name":"english","dtype":"string"},{"name":"korean","dtype":"string"},{"name":"from","dtype":"string"},{"name":"category","dtype":"string"},{"name":"en_token_len","dtype":"int64"},{"name":"ko_token_len","dtype":"int64"}]


hub_id: MaximTitarenkoUIT/ca_code_summary_test_codexglue_200
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["code_raw","code_clean","docstring"]
features:
[{"name":"code_raw","dtype":"string"},{"name":"code_clean","dtype":"string"},{"name":"docstring","dtype":"string"}]


hub_id: IlyaGusev/saiga_preferences
license: []
language: []
config_name: default
column_names: ["prompt","chosen","rejected","chosen_model","rejected_model","source","sonnet_approved"]
features:
[{"name":"prompt","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"chosen_model","dtype":"string"},{"name":"rejected_model","dtype":"string"},{"name":"source","dtype":"string"},{"name":"sonnet_approved","dtype":"bool"}]


hub_id: alvarobartt/prometheus-abs-eval-distilabel
license: []
language: []
config_name: default
column_names: ["instruction","generation","model_name","feedback","score"]
features:
[{"name":"instruction","dtype":"string"},{"name":"generation","dtype":"string"},{"name":"model_name","dtype":"string"},{"name":"feedback","dtype":"string"},{"name":"score","dtype":"int64"}]


hub_id: amilmshaji/multillm-route-instruct
license: []
language: []
config_name: default
column_names:
["instruction","context","response","category","falcon180b_response","falcon180b_reward","llama3_8b_response","llama3_8b_reward","codellama_7b_response","codellama_7b_reward","mixtral_7b_response","mixtral_7b_reward","qwen_1.8b_response","qwen_1.8b_reward","normalised_reward"]

features:
[{"name":"instruction","dtype":"string"},{"name":"context","dtype":"string"},{"name":"response","dtype":"string"},{"name":"category","dtype":"string"},{"name":"falcon180b_response","dtype":"string"},{"name":"falcon180b_reward","dtype":"float64"},{"name":"llama3_8b_response","dtype":"string"},{"name":"llama3_8b_reward","dtype":"float64"},{"name":"codellama_7b_response","dtype":"string"},{"name":"codellama_7b_reward","dtype":"float64"},{"name":"mixtral_7b_response","dtype":"string"},{"name":"mixtral_7b_reward","dtype":"float64"},{"name":"qwen_1.8b_response","dtype":"string"},{"name":"qwen_1.8b_reward","dtype":"float64"},{"name":"normalised_reward","sequence":"float64"}]


hub_id: alvarobartt/prometheus-eval-distilabel
license: []
language: []
config_name: rel_task
column_names: ["instruction","generation","generations","model_name","feedback","result"]
features:
[{"name":"instruction","dtype":"string"},{"name":"generation","dtype":"string"},{"name":"generations","sequence":"string"},{"name":"model_name","dtype":"string"},{"name":"feedback","dtype":"string"},{"name":"result","sequence":"int64"}]


hub_id: graycatHCO3/RL_MPE_env
license: ["mit"]
language: []
config_name: default
column_names: ["filename","AgentFunctions","ObservationSpaces","ActionSpaces","Agents","Description"]
features:
[{"name":"filename","dtype":"string"},{"name":"AgentFunctions","struct":[{"name":"adversary_reward","dtype":"string"},{"name":"agent_reward","dtype":"string"},{"name":"observation","dtype":"string"}]},{"name":"ObservationSpaces","struct":[{"name":"Adversary","dtype":"string"},{"name":"Agent","dtype":"string"},{"name":"Alice","dtype":"string"},{"name":"Bob","dtype":"string"},{"name":"Eve","dtype":"string"}]},{"name":"ActionSpaces","struct":[{"name":"Adversary","dtype":"string"},{"name":"Agent","dtype":"string"}]},{"name":"Agents","dtype":"string"},{"name":"Description","dtype":"string"}]


hub_id: alexantonov/chuvash_mono
license: ["cc0-1.0"]
language: ["cv"]
config_name: default
column_names: ["chv"]
features: [{"name":"chv","dtype":"string"}]
tags:
["task_categories:translation","task_categories:text-generation","language:cv","license:cc0-1.0","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: jayasuryajsk/google-fleurs-te-romanized
license: []
language: []
config_name: default
column_names:
["id","num_samples","path","audio","transcription","raw_transcription","gender","lang_id","language","lang_group_id","romanized_transcription"]

features:
[{"name":"id","dtype":"int32"},{"name":"num_samples","dtype":"int32"},{"name":"path","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"transcription","dtype":"string"},{"name":"raw_transcription","dtype":"string"},{"name":"gender","dtype":{"class_label":{"names":{"0":"male","1":"female","2":"other"}}}},{"name":"lang_id","dtype":{"class_label":{"names":{"0":"af_za","1":"am_et","2":"ar_eg","3":"as_in","4":"ast_es","5":"az_az","6":"be_by","7":"bg_bg","8":"bn_in","9":"bs_ba","10":"ca_es","11":"ceb_ph","12":"ckb_iq","13":"cmn_hans_cn","14":"cs_cz","15":"cy_gb","16":"da_dk","17":"de_de","18":"el_gr","19":"en_us","20":"es_419","21":"et_ee","22":"fa_ir","23":"ff_sn","24":"fi_fi","25":"fil_ph","26":"fr_fr","27":"ga_ie","28":"gl_es","29":"gu_in","30":"ha_ng","31":"he_il","32":"hi_in","33":"hr_hr","34":"hu_hu","35":"hy_am","36":"id_id","37":"ig_ng","38":"is_is","39":"it_it","40":"ja_jp","41":"jv_id","42":"ka_ge","43":"kam_ke","44":"kea_cv","45":"kk_kz","46":"km_kh","47":"kn_in","48":"ko_kr","49":"ky_kg","50":"lb_lu","51":"lg_ug","52":"ln_cd","53":"lo_la","54":"lt_lt","55":"luo_ke","56":"lv_lv","57":"mi_nz","58":"mk_mk","59":"ml_in","60":"mn_mn","61":"mr_in","62":"ms_my","63":"mt_mt","64":"my_mm","65":"nb_no","66":"ne_np","67":"nl_nl","68":"nso_za","69":"ny_mw","70":"oc_fr","71":"om_et","72":"or_in","73":"pa_in","74":"pl_pl","75":"ps_af","76":"pt_br","77":"ro_ro","78":"ru_ru","79":"sd_in","80":"sk_sk","81":"sl_si","82":"sn_zw","83":"so_so","84":"sr_rs","85":"sv_se","86":"sw_ke","87":"ta_in","88":"te_in","89":"tg_tj","90":"th_th","91":"tr_tr","92":"uk_ua","93":"umb_ao","94":"ur_pk","95":"uz_uz","96":"vi_vn","97":"wo_sn","98":"xh_za","99":"yo_ng","100":"yue_hant_hk","101":"zu_za","102":"all"}}}},{"name":"language","dtype":"string"},{"name":"lang_group_id","dtype":{"class_label":{"names":{"0":"western_european_we","1":"eastern_european_ee","2":"central_asia_middle_north_african_cmn","3":"sub_saharan_african_ssa","4":"south_asian_sa","5":"south_east_asian_sea","6":"chinese_japanase_korean_cjk"}}}},{"name":"romanized_transcription","dtype":"string"}]


hub_id: Gameselo/monolingual-wideNLI
license: []
language: ["en"]
config_name: default
column_names: ["premise","hypothesis","label"]
tags:
["task_categories:text-classification","language:en","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","region:us","natural-language-inference","fact-checking","croissant"]


hub_id: BaSalam/entity-attribute-sft-dataset-GPT-4.0-generated-v1
license: ["apache-2.0"]
language: ["fa"]
config_name: default
column_names: ["system_prompt","product_data"]
features: [{"name":"system_prompt","dtype":"string"},{"name":"product_data","dtype":"string"}]
tags:
["task_categories:text-generation","task_categories:text2text-generation","task_categories:feature-extraction","language:fa","license:apache-2.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: Ramitha/open-australian-legal-qa-test-analysis-generation-single-shot
license: []
language: []
config_name: default
column_names:
["question","answer","original_texts","is_knowledge_available","is_knowledge_available_confidence","llm_raw_generation","llm_knowledge_document","llm_knowledge_generation","bert_improvement_percentage","lbert_improvement_percentage","angle_improvement_percentage"]

features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"original_texts","sequence":"int64"},{"name":"is_knowledge_available","dtype":"string"},{"name":"is_knowledge_available_confidence","dtype":"float64"},{"name":"llm_raw_generation","dtype":"string"},{"name":"llm_knowledge_document","dtype":"string"},{"name":"llm_knowledge_generation","dtype":"string"},{"name":"bert_improvement_percentage","dtype":"float64"},{"name":"lbert_improvement_percentage","dtype":"float64"},{"name":"angle_improvement_percentage","dtype":"float64"}]


hub_id: sadeem-ai/sadeem-ar-eval-retrieval-questions
license: []
language: []
config_name: test
column_names: ["query-id","corpus-id","score","text"]
features:
[{"name":"query-id","dtype":"string"},{"name":"corpus-id","dtype":"string"},{"name":"score","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: argilla/MMLU_test_subset
license: []
language: []
config_name: default
column_names: ["Subject","Question","Choices","Answer","formatted_choices","id"]
features:
[{"name":"Subject","dtype":"string"},{"name":"Question","dtype":"string"},{"name":"Choices","sequence":"string"},{"name":"Answer","dtype":"string"},{"name":"formatted_choices","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: sadeem-ai/sadeem-ar-eval-retrieval-keywords
license: []
language: ["ar"]
config_name: test
column_names: ["query-id","corpus-id","score","text"]
tags:
["task_categories:text-retrieval","task_ids:document-retrieval","multilinguality:monolingual","language:ar","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","text-retrieval","croissant"]

features:
[{"name":"query-id","dtype":"string"},{"name":"corpus-id","dtype":"string"},{"name":"score","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: neeraj0022/bahasaUpdated
license: []
language: []
config_name: default
column_names: ["Questions ","Answers","Category"]
features:
[{"name":"Questions ","dtype":"string"},{"name":"Answers","dtype":"string"},{"name":"Category","dtype":"string"}]


hub_id: ashishkgpian/kaggle-comp
license: []
language: []
config_name: default
column_names:
["id","model_a","model_b","prompt","response_a","response_b","winner_model_a","winner_model_b","winner_tie","__index_level_0__","text"]

features:
[{"name":"id","dtype":"int64"},{"name":"model_a","dtype":"string"},{"name":"model_b","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"response_a","dtype":"string"},{"name":"response_b","dtype":"string"},{"name":"winner_model_a","dtype":"int64"},{"name":"winner_model_b","dtype":"int64"},{"name":"winner_tie","dtype":"int64"},{"name":"__index_level_0__","dtype":"int64"},{"name":"text","dtype":"string"}]


hub_id: dl2-g32/jhtdb
tags: ["region:us"]
license: []
language: []
config_name: small_50
column_names: ["lrs","hr"]
features:
[{"name":"lrs","sequence":{"array4_d":{"shape":[3,4,4,4],"dtype":"float32"}}},{"name":"hr","dtype":{"array4_d":{"shape":[3,16,16,16],"dtype":"float32"}}}]


hub_id: cwei13/ghost_rate
license: []
language: ["jp","en"]
config_name: default
column_names: ["rate","comment","id"]
tags:
["task_categories:text-classification","task_categories:sentence-similarity","task_ids:sentiment-analysis","task_ids:sentiment-classification","task_ids:semantic-similarity-classification","multilinguality:multilingual","language:jp","language:en","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"rate","dtype":"string"},{"name":"comment","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: YYYYYYibo/ultrafeedback_binarized_dataset_offline_part0
license: []
language: []
config_name: default
column_names:
["prompt","prompt_id","chosen","rejected","messages","score_chosen","score_rejected","reference_response","resp0","resp1"]

features:
[{"name":"prompt","dtype":"string"},{"name":"prompt_id","dtype":"string"},{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"score_chosen","dtype":"float64"},{"name":"score_rejected","dtype":"float64"},{"name":"reference_response","dtype":"string"},{"name":"resp0","dtype":"string"},{"name":"resp1","dtype":"string"}]


hub_id: alexantonov/chuvash_russian_parallel
license: ["cc0-1.0"]
language: ["cv","ru"]
config_name: default
column_names: ["chv","ru"]
features: [{"name":"chv","dtype":"string"},{"name":"ru","dtype":"string"}]
tags:
["task_categories:translation","language:cv","language:ru","license:cc0-1.0","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: PawanKrd/asr-ckb
license: []
language: ["ckb"]
config_name: default
column_names: ["audio","sentence"]
features: [{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"sentence","dtype":"string"}]
tags:
["task_categories:automatic-speech-recognition","language:ckb","size_categories:100K<n<1M","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: alexantonov/chuvash_english_parallel
license: ["cc0-1.0"]
language: ["cv","en"]
config_name: default
column_names: ["chv","en"]
features: [{"name":"chv","dtype":"string"},{"name":"en","dtype":"string"}]
tags:
["task_categories:translation","language:cv","language:en","license:cc0-1.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: HuggingFaceTB/bisac_3B_generations_college_students_edu_scores
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["subcategory","code","top_category","expansion_factor","prompt","subtopic","subtopic_w_explanation","for_inspection","query","text","prompt_grade_school_students","prompt_middle_school_students","prompt_college_students","completion","token_length","score","int_score"]

features:
[{"name":"subcategory","dtype":"string"},{"name":"code","dtype":"string"},{"name":"top_category","dtype":"string"},{"name":"expansion_factor","dtype":"int64"},{"name":"prompt","dtype":"string"},{"name":"subtopic","dtype":"string"},{"name":"subtopic_w_explanation","dtype":"string"},{"name":"for_inspection","dtype":"string"},{"name":"query","dtype":"string"},{"name":"text","dtype":"string"},{"name":"prompt_grade_school_students","dtype":"string"},{"name":"prompt_middle_school_students","dtype":"string"},{"name":"prompt_college_students","dtype":"string"},{"name":"completion","dtype":"string"},{"name":"token_length","dtype":"int64"},{"name":"score","dtype":"float64"},{"name":"int_score","dtype":"int64"}]


hub_id: ArmanAsq/MedMCQA
license: []
language: ["en"]
config_name: default
column_names: ["id","question","opa","opb","opc","opd","cop","choice_type","exp","subject_name","topic_name"]
features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"opa","dtype":"string"},{"name":"opb","dtype":"string"},{"name":"opc","dtype":"string"},{"name":"opd","dtype":"string"},{"name":"cop","dtype":"int64"},{"name":"choice_type","dtype":"string"},{"name":"exp","dtype":"string"},{"name":"subject_name","dtype":"string"},{"name":"topic_name","dtype":"string"}]


hub_id: kyungraekim/py-commit
license: []
language: []
config_name: default
column_names: ["commitId","datetime","subject","comment","diff","gitVersion"]
features:
[{"name":"commitId","dtype":"string"},{"name":"datetime","dtype":"string"},{"name":"subject","dtype":"string"},{"name":"comment","dtype":"string"},{"name":"diff","dtype":"string"},{"name":"gitVersion","dtype":"string"}]


hub_id: uiyong/naver_news_summarization_ko_df
license: ["mit"]
language: []
config_name: default
column_names: ["date","category","press","title","document","link","summary"]
features:
[{"name":"date","dtype":"string"},{"name":"category","dtype":"string"},{"name":"press","dtype":"string"},{"name":"title","dtype":"string"},{"name":"document","dtype":"string"},{"name":"link","dtype":"string"},{"name":"summary","dtype":"string"}]


hub_id: MoosaTae/Basic-Math-Chinese-1M-V1.1_TH
license: []
language: []
config_name: default
column_names: ["text","th_translate","th_input","th_output","zh_input","zh_output"]
features:
[{"name":"text","dtype":"string"},{"name":"th_translate","dtype":"string"},{"name":"th_input","dtype":"string"},{"name":"th_output","dtype":"string"},{"name":"zh_input","dtype":"string"},{"name":"zh_output","dtype":"string"}]


hub_id: luisespinosa/maec-2020
license: []
language: []
config_name: default
column_names: ["year","company_code","text","year_company_code"]
features:
[{"name":"year","dtype":"string"},{"name":"company_code","dtype":"string"},{"name":"text","dtype":"string"},{"name":"year_company_code","dtype":"string"}]


hub_id: liswei/news-collection-zhtw
license: []
language: ["zht","zh"]
config_name: default
column_names: ["title","text","category"]
tags:
["task_categories:text-generation","task_categories:text2text-generation","task_categories:summarization","language:zht","language:zh","size_categories:100K<n<1M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"category","dtype":"string"}]


hub_id: rachid16/ft_bert_benchmark2
license: []
language: []
config_name: default
column_names:
["question","context","answer","Finetuned_answer","BERTScore_Precision","BERTScore_Recall","BERTScore_F1","entailement_score","bert_similarity_score"]

features:
[{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"Finetuned_answer","dtype":"string"},{"name":"BERTScore_Precision","dtype":"float64"},{"name":"BERTScore_Recall","dtype":"float64"},{"name":"BERTScore_F1","dtype":"float64"},{"name":"entailement_score","dtype":"float64"},{"name":"bert_similarity_score","dtype":"float64"}]


hub_id: Rohit228/govt_id_data
license: []
language: []
config_name: push_to_argilla
column_names:
["Index","instruction","Class","Subclass","Quantization","generation_models","generations","model_name","ratings","rationales"]

features:
[{"name":"Index","dtype":"int64"},{"name":"instruction","dtype":"string"},{"name":"Class","dtype":"string"},{"name":"Subclass","dtype":"string"},{"name":"Quantization","dtype":"bool"},{"name":"generation_models","sequence":"string"},{"name":"generations","sequence":"string"},{"name":"model_name","dtype":"string"},{"name":"ratings","sequence":"null"},{"name":"rationales","sequence":"null"}]


hub_id: Rohit228/govt_id_data_v2
license: []
language: []
config_name: push_to_argilla
column_names:
["Index","instruction","Class","Subclass","Quantization","generation_models","generations","model_name","ratings","rationales"]

features:
[{"name":"Index","dtype":"int64"},{"name":"instruction","dtype":"string"},{"name":"Class","dtype":"string"},{"name":"Subclass","dtype":"string"},{"name":"Quantization","dtype":"bool"},{"name":"generation_models","sequence":"string"},{"name":"generations","sequence":"string"},{"name":"model_name","dtype":"string"},{"name":"ratings","sequence":"int64"},{"name":"rationales","sequence":"string"}]


hub_id: liswei/c4-zhtw
license: []
language: ["zht","zh"]
config_name: default
column_names: ["text","timestamp","url","zh_id"]
tags:
["task_categories:text-generation","task_categories:fill-mask","language:zht","language:zh","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"timestamp","dtype":"string"},{"name":"url","dtype":"string"},{"name":"zh_id","dtype":"int64"}]


hub_id: asas-ai/Arabic_WSD_Benchmark
license: ["unknown"]
language: ["ar"]
config_name: default
column_names: ["word","def","ex","label"]
tags:
["task_categories:feature-extraction","language:ar","license:unknown","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","Word Sense Disambiguation","croissant"]

features:
[{"name":"word","dtype":"string"},{"name":"def","dtype":"string"},{"name":"ex","dtype":"string"},{"name":"label","dtype":"int64"}]


hub_id: liswei/coct-en-zhtw-dedup
license: []
language: ["zht","zh"]
config_name: default
column_names: ["en","ch"]
features: [{"name":"en","dtype":"string"},{"name":"ch","dtype":"string"}]
tags:
["task_categories:translation","task_categories:text2text-generation","task_categories:text-generation","task_categories:sentence-similarity","language:zht","language:zh","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: liswei/common-crawl-zhtw
license: []
language: ["zht","zh"]
config_name: default
column_names: ["url","timestamp","content_language","content_type","text"]
tags:
["task_categories:text-generation","task_categories:fill-mask","language:zht","language:zh","size_categories:100M<n<1B","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"url","dtype":"string"},{"name":"timestamp","dtype":"timestamp[s]"},{"name":"content_language","dtype":"string"},{"name":"content_type","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: llm-values/self_response_2_Qwen__Qwen1.5_72B_answers
license: []
language: []
config_name: default
column_names:
["prompt ID","language","topic","labels","original prompt","translated prompt","answer: Qwen/Qwen1.5-72B - original","answer: Qwen/Qwen1.5-72B - translated","pos priming phrase 0 - original","pos priming phrase 0, answer: Yes - original","pos priming phrase 0, answer Yes logprob - original","pos priming phrase 0, answer: No - original","pos priming phrase 0, answer No logprob - original","neg priming phrase 0 - original","neg priming phrase 0, answer: Yes - original","neg priming phrase 0, answer Yes logprob - original","neg priming phrase 0, answer: No - original","neg priming phrase 0, answer No logprob - original","pos priming phrase 0 - translated","pos priming phrase 0, answer: Yes - translated","pos priming phrase 0, answer Yes logprob - translated","pos priming phrase 0, answer: No - translated","pos priming phrase 0, answer No logprob - translated","neg priming phrase 0 - translated","neg priming phrase 0, answer: Yes - translated","neg priming phrase 0, answer Yes logprob - translated","neg priming phrase 0, answer: No - translated","neg priming phrase 0, answer No logprob - translated"]

features:
[{"name":"prompt ID","dtype":"int64"},{"name":"language","dtype":"string"},{"name":"topic","dtype":"string"},{"name":"labels","sequence":"string"},{"name":"original prompt","dtype":"string"},{"name":"translated prompt","dtype":"string"},{"name":"answer: Qwen/Qwen1.5-72B - original","dtype":"string"},{"name":"answer: Qwen/Qwen1.5-72B - translated","dtype":"string"},{"name":"pos priming phrase 0 - original","dtype":"string"},{"name":"pos priming phrase 0, answer: Yes - original","dtype":"string"},{"name":"pos priming phrase 0, answer Yes logprob - original","dtype":"float64"},{"name":"pos priming phrase 0, answer: No - original","dtype":"string"},{"name":"pos priming phrase 0, answer No logprob - original","dtype":"float64"},{"name":"neg priming phrase 0 - original","dtype":"string"},{"name":"neg priming phrase 0, answer: Yes - original","dtype":"string"},{"name":"neg priming phrase 0, answer Yes logprob - original","dtype":"float64"},{"name":"neg priming phrase 0, answer: No - original","dtype":"string"},{"name":"neg priming phrase 0, answer No logprob - original","dtype":"float64"},{"name":"pos priming phrase 0 - translated","dtype":"string"},{"name":"pos priming phrase 0, answer: Yes - translated","dtype":"string"},{"name":"pos priming phrase 0, answer Yes logprob - translated","dtype":"float64"},{"name":"pos priming phrase 0, answer: No - translated","dtype":"string"},{"name":"pos priming phrase 0, answer No logprob - translated","dtype":"float64"},{"name":"neg priming phrase 0 - translated","dtype":"string"},{"name":"neg priming phrase 0, answer: Yes - translated","dtype":"string"},{"name":"neg priming phrase 0, answer Yes logprob - translated","dtype":"float64"},{"name":"neg priming phrase 0, answer: No - translated","dtype":"string"},{"name":"neg priming phrase 0, answer No logprob - translated","dtype":"float64"}]


hub_id: sanchit-gandhi/black-eyed-peas-debug
tags: ["size_categories:n<1K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input_features","input_ids","labels","target_length"]
features:
[{"name":"input_features","sequence":{"sequence":"float32"}},{"name":"input_ids","sequence":"int32"},{"name":"labels","sequence":{"sequence":"int64"}},{"name":"target_length","dtype":"int64"}]


hub_id: ayoubto/adria-dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["title","question","response"]
features:
[{"name":"title","dtype":"string"},{"name":"question","dtype":"string"},{"name":"response","dtype":"string"}]


hub_id: asas-ai/Arabic-Poem-Emotion
license: ["cc-by-4.0"]
language: ["ar"]
config_name: default
column_names: ["poem_id","poem","verses","emotion"]
tags:
["task_categories:text-classification","language:ar","license:cc-by-4.0","size_categories:1K<n<10K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"poem_id","dtype":"int64"},{"name":"poem","dtype":"string"},{"name":"verses","dtype":"int64"},{"name":"emotion","dtype":"string"}]


hub_id: DurreSudoku/DT2119_test_dataset
tags: ["size_categories:n<1K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["clean","noisy","mask"]
features:
[{"name":"clean","sequence":{"sequence":"float32"}},{"name":"noisy","sequence":{"sequence":"float32"}},{"name":"mask","sequence":{"sequence":"bool"}}]


hub_id: skvarre/sv-instruct-v1
license: []
language: ["sv"]
config_name: default
column_names: ["conversations"]
tags:
["language:sv","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: ganeshkumar19/llama3-text-to-sql-0.1k
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["id","domain","domain_description","sql_complexity","sql_complexity_description","sql_task_type","sql_task_type_description","sql_prompt","sql_context","sql","sql_explanation"]

features:
[{"name":"id","dtype":"int32"},{"name":"domain","dtype":"string"},{"name":"domain_description","dtype":"string"},{"name":"sql_complexity","dtype":"string"},{"name":"sql_complexity_description","dtype":"string"},{"name":"sql_task_type","dtype":"string"},{"name":"sql_task_type_description","dtype":"string"},{"name":"sql_prompt","dtype":"string"},{"name":"sql_context","dtype":"string"},{"name":"sql","dtype":"string"},{"name":"sql_explanation","dtype":"string"}]


hub_id: Yasusan/databricks-dolly-15k-ja
license: []
language: []
config_name: default
column_names: ["output","input","index","category","instruction"]
features:
[{"name":"output","dtype":"string"},{"name":"input","dtype":"string"},{"name":"index","dtype":"string"},{"name":"category","dtype":"string"},{"name":"instruction","dtype":"string"}]


hub_id: llm-values/self_response_meta_llama__Meta_Llama_3_70B_answers
license: []
language: []
config_name: default
column_names:
["prompt ID","language","topic","labels","original prompt","translated prompt","answer: meta-llama/Meta-Llama-3-70B - original","answer: meta-llama/Meta-Llama-3-70B - translated","pos priming phrase 0 - original","pos priming phrase 0, answer: Yes - original","pos priming phrase 0, answer Yes logprob - original","pos priming phrase 0, answer: No - original","pos priming phrase 0, answer No logprob - original","pos priming phrase 1 - original","pos priming phrase 1, answer: Yes - original","pos priming phrase 1, answer Yes logprob - original","pos priming phrase 1, answer: No - original","pos priming phrase 1, answer No logprob - original","pos priming phrase 2 - original","pos priming phrase 2, answer: Yes - original","pos priming phrase 2, answer Yes logprob - original","pos priming phrase 2, answer: No - original","pos priming phrase 2, answer No logprob - original","neg priming phrase 0 - original","neg priming phrase 0, answer: Yes - original","neg priming phrase 0, answer Yes logprob - original","neg priming phrase 0, answer: No - original","neg priming phrase 0, answer No logprob - original","neg priming phrase 1 - original","neg priming phrase 1, answer: Yes - original","neg priming phrase 1, answer Yes logprob - original","neg priming phrase 1, answer: No - original","neg priming phrase 1, answer No logprob - original","neg priming phrase 2 - original","neg priming phrase 2, answer: Yes - original","neg priming phrase 2, answer Yes logprob - original","neg priming phrase 2, answer: No - original","neg priming phrase 2, answer No logprob - original","pos priming phrase 0 - translated","pos priming phrase 0, answer: Yes - translated","pos priming phrase 0, answer Yes logprob - translated","pos priming phrase 0, answer: No - translated","pos priming phrase 0, answer No logprob - translated","pos priming phrase 1 - translated","pos priming phrase 1, answer: Yes - translated","pos priming phrase 1, answer Yes logprob - translated","pos priming phrase 1, answer: No - translated","pos priming phrase 1, answer No logprob - translated","pos priming phrase 2 - translated","pos priming phrase 2, answer: Yes - translated","pos priming phrase 2, answer Yes logprob - translated","pos priming phrase 2, answer: No - translated","pos priming phrase 2, answer No logprob - translated","neg priming phrase 0 - translated","neg priming phrase 0, answer: Yes - translated","neg priming phrase 0, answer Yes logprob - translated","neg priming phrase 0, answer: No - translated","neg priming phrase 0, answer No logprob - translated","neg priming phrase 1 - translated","neg priming phrase 1, answer: Yes - translated","neg priming phrase 1, answer Yes logprob - translated","neg priming phrase 1, answer: No - translated","neg priming phrase 1, answer No logprob - translated","neg priming phrase 2 - translated","neg priming phrase 2, answer: Yes - translated","neg priming phrase 2, answer Yes logprob - translated","neg priming phrase 2, answer: No - translated","neg priming phrase 2, answer No logprob - translated"]

features:
[{"name":"prompt ID","dtype":"int64"},{"name":"language","dtype":"string"},{"name":"topic","dtype":"string"},{"name":"labels","sequence":"string"},{"name":"original prompt","dtype":"string"},{"name":"translated prompt","dtype":"string"},{"name":"answer: meta-llama/Meta-Llama-3-70B - original","dtype":"string"},{"name":"answer: meta-llama/Meta-Llama-3-70B - translated","dtype":"string"},{"name":"pos priming phrase 0 - original","dtype":"string"},{"name":"pos priming phrase 0, answer: Yes - original","dtype":"string"},{"name":"pos priming phrase 0, answer Yes logprob - original","dtype":"float64"},{"name":"pos priming phrase 0, answer: No - original","dtype":"string"},{"name":"pos priming phrase 0, answer No logprob - original","dtype":"float64"},{"name":"pos priming phrase 1 - original","dtype":"string"},{"name":"pos priming phrase 1, answer: Yes - original","dtype":"string"},{"name":"pos priming phrase 1, answer Yes logprob - original","dtype":"float64"},{"name":"pos priming phrase 1, answer: No - original","dtype":"string"},{"name":"pos priming phrase 1, answer No logprob - original","dtype":"float64"},{"name":"pos priming phrase 2 - original","dtype":"string"},{"name":"pos priming phrase 2, answer: Yes - original","dtype":"string"},{"name":"pos priming phrase 2, answer Yes logprob - original","dtype":"float64"},{"name":"pos priming phrase 2, answer: No - original","dtype":"string"},{"name":"pos priming phrase 2, answer No logprob - original","dtype":"float64"},{"name":"neg priming phrase 0 - original","dtype":"string"},{"name":"neg priming phrase 0, answer: Yes - original","dtype":"string"},{"name":"neg priming phrase 0, answer Yes logprob - original","dtype":"float64"},{"name":"neg priming phrase 0, answer: No - original","dtype":"string"},{"name":"neg priming phrase 0, answer No logprob - original","dtype":"float64"},{"name":"neg priming phrase 1 - original","dtype":"string"},{"name":"neg priming phrase 1, answer: Yes - original","dtype":"string"},{"name":"neg priming phrase 1, answer Yes logprob - original","dtype":"float64"},{"name":"neg priming phrase 1, answer: No - original","dtype":"string"},{"name":"neg priming phrase 1, answer No logprob - original","dtype":"float64"},{"name":"neg priming phrase 2 - original","dtype":"string"},{"name":"neg priming phrase 2, answer: Yes - original","dtype":"string"},{"name":"neg priming phrase 2, answer Yes logprob - original","dtype":"float64"},{"name":"neg priming phrase 2, answer: No - original","dtype":"string"},{"name":"neg priming phrase 2, answer No logprob - original","dtype":"float64"},{"name":"pos priming phrase 0 - translated","dtype":"string"},{"name":"pos priming phrase 0, answer: Yes - translated","dtype":"string"},{"name":"pos priming phrase 0, answer Yes logprob - translated","dtype":"float64"},{"name":"pos priming phrase 0, answer: No - translated","dtype":"string"},{"name":"pos priming phrase 0, answer No logprob - translated","dtype":"float64"},{"name":"pos priming phrase 1 - translated","dtype":"string"},{"name":"pos priming phrase 1, answer: Yes - translated","dtype":"string"},{"name":"pos priming phrase 1, answer Yes logprob - translated","dtype":"float64"},{"name":"pos priming phrase 1, answer: No - translated","dtype":"string"},{"name":"pos priming phrase 1, answer No logprob - translated","dtype":"float64"},{"name":"pos priming phrase 2 - translated","dtype":"string"},{"name":"pos priming phrase 2, answer: Yes - translated","dtype":"string"},{"name":"pos priming phrase 2, answer Yes logprob - translated","dtype":"float64"},{"name":"pos priming phrase 2, answer: No - translated","dtype":"string"},{"name":"pos priming phrase 2, answer No logprob - translated","dtype":"float64"},{"name":"neg priming phrase 0 - translated","dtype":"string"},{"name":"neg priming phrase 0, answer: Yes - translated","dtype":"string"},{"name":"neg priming phrase 0, answer Yes logprob - translated","dtype":"float64"},{"name":"neg priming phrase 0, answer: No - translated","dtype":"string"},{"name":"neg priming phrase 0, answer No logprob - translated","dtype":"float64"},{"name":"neg priming phrase 1 - translated","dtype":"string"},{"name":"neg priming phrase 1, answer: Yes - translated","dtype":"string"},{"name":"neg priming phrase 1, answer Yes logprob - translated","dtype":"float64"},{"name":"neg priming phrase 1, answer: No - translated","dtype":"string"},{"name":"neg priming phrase 1, answer No logprob - translated","dtype":"float64"},{"name":"neg priming phrase 2 - translated","dtype":"string"},{"name":"neg priming phrase 2, answer: Yes - translated","dtype":"string"},{"name":"neg priming phrase 2, answer Yes logprob - translated","dtype":"float64"},{"name":"neg priming phrase 2, answer: No - translated","dtype":"string"},{"name":"neg priming phrase 2, answer No logprob - translated","dtype":"float64"}]


hub_id: Doub7e/SDv2-Spatial70-cogvlm-details-appended
license: []
language: []
config_name: default
column_names: ["image","prompt","T5_last_hidden_states"]
features:
[{"name":"image","dtype":"image"},{"name":"prompt","dtype":"string"},{"name":"T5_last_hidden_states","sequence":{"sequence":{"sequence":"float64"}}}]


hub_id: navya19/fantastical-instructpix2pix650-samples
license: []
language: []
config_name: default
column_names: ["original_prompt","input_image","edit_prompt","edited_prompt","edited_image"]
features:
[{"name":"original_prompt","dtype":"string"},{"name":"input_image","dtype":"image"},{"name":"edit_prompt","dtype":"string"},{"name":"edited_prompt","dtype":"string"},{"name":"edited_image","dtype":"image"}]


hub_id: IEETA/SPACCC-Spanish-NER
license: ["cc-by-4.0"]
language: ["es"]
config_name: default
column_names: ["filename","ann_id","label","start_span","end_span","text"]
tags:
["task_categories:token-classification","language:es","license:cc-by-4.0","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"filename","dtype":"string"},{"name":"ann_id","dtype":"int64"},{"name":"label","dtype":"string"},{"name":"start_span","dtype":"int64"},{"name":"end_span","dtype":"int64"},{"name":"text","dtype":"string"}]


hub_id: anubrata/south-german-credit
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["text","label"]
features:
[{"name":"text","struct":[{"name":"Credit history","dtype":"string"},{"name":"Duration of requested credit in months","dtype":"string"},{"name":"Employment duration in years","dtype":"string"},{"name":"Requested credit amount in Dollars","dtype":"string"},{"name":"Housing","dtype":"string"},{"name":"Interest rate amount as the % of disposable income","dtype":"string"},{"name":"Job","dtype":"string"},{"name":"Most valuable existing asset","dtype":"string"},{"name":"Number of dependents","dtype":"string"},{"name":"Number of previous loans with the bank","dtype":"string"},{"name":"Other debtors\\/guarantors","dtype":"string"},{"name":"Other loans","dtype":"string"},{"name":"Present residence duration in years","dtype":"string"},{"name":"Purpose of the requested credit","dtype":"string"},{"name":"Savings amount in dollars","dtype":"string"},{"name":"Status of checking account","dtype":"string"}]},{"name":"label","dtype":"string"}]


hub_id: HuggingFaceTB/LLM_juries_fineweb_430k_annotations
license: []
language: []
config_name: default
column_names:
["prompt","text","metadata","completion_mixtral8x7B","completion_mixtral8x22B","completion_llama3_70B","score_mixtral8x7B","score_mixtral8x22B","score_llama3_70B","average_score","average_score_rounded","median_score"]

features:
[{"name":"prompt","dtype":"string"},{"name":"text","dtype":"string"},{"name":"metadata","struct":[{"name":"date","dtype":"int64"},{"name":"dump","dtype":"string"},{"name":"file_path","dtype":"string"},{"name":"language","dtype":"string"},{"name":"language_score","dtype":"float64"},{"name":"token_count","dtype":"int64"},{"name":"url","dtype":"string"}]},{"name":"completion_mixtral8x7B","dtype":"string"},{"name":"completion_mixtral8x22B","dtype":"string"},{"name":"completion_llama3_70B","dtype":"string"},{"name":"score_mixtral8x7B","dtype":"int64"},{"name":"score_mixtral8x22B","dtype":"int64"},{"name":"score_llama3_70B","dtype":"int64"},{"name":"average_score","dtype":"float64"},{"name":"average_score_rounded","dtype":"int64"},{"name":"median_score","dtype":"int64"}]


hub_id: FSMBench/simple_fsm_vision_qa
license: []
language: []
config_name: default
column_names:
["fsm_id","fsm_json","difficulty_level","transition_matrix","substring_index","number_of_states","number_of_alphabets","state_alpha_combo","image","query_id","query","answer","start_state","alphabet"]

features:
[{"name":"fsm_id","dtype":"string"},{"name":"fsm_json","dtype":"string"},{"name":"difficulty_level","dtype":"int64"},{"name":"transition_matrix","dtype":"string"},{"name":"substring_index","dtype":"int64"},{"name":"number_of_states","dtype":"int64"},{"name":"number_of_alphabets","dtype":"int64"},{"name":"state_alpha_combo","dtype":"string"},{"name":"image","dtype":"image"},{"name":"query_id","dtype":"string"},{"name":"query","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"start_state","dtype":"string"},{"name":"alphabet","dtype":"string"}]


hub_id: tfshaman/Math401_test
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["question","answer","description"]
features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"description","dtype":"string"}]


hub_id: HuggingFaceTB/LLM_juries_fineweb_10k_annotations
license: []
language: []
config_name: default
column_names:
["prompt","text","metadata","completion_mixtral8x7B","completion_mixtral8x22B","completion_llama3_70B","score_mixtral8x7B","score_mixtral8x22B","score_llama3_70B","average_score","average_score_rounded","std_dev"]

features:
[{"name":"prompt","dtype":"string"},{"name":"text","dtype":"string"},{"name":"metadata","struct":[{"name":"date","dtype":"int64"},{"name":"dump","dtype":"string"},{"name":"file_path","dtype":"string"},{"name":"language","dtype":"string"},{"name":"language_score","dtype":"float64"},{"name":"token_count","dtype":"int64"},{"name":"url","dtype":"string"}]},{"name":"completion_mixtral8x7B","dtype":"string"},{"name":"completion_mixtral8x22B","dtype":"string"},{"name":"completion_llama3_70B","dtype":"string"},{"name":"score_mixtral8x7B","dtype":"int64"},{"name":"score_mixtral8x22B","dtype":"int64"},{"name":"score_llama3_70B","dtype":"int64"},{"name":"average_score","dtype":"int64"},{"name":"average_score_rounded","dtype":"int64"},{"name":"std_dev","dtype":"float64"}]


hub_id: asas-ai/ArPanEmo
license: ["cc-by-4.0"]
language: ["ar"]
config_name: default
column_names: ["number","post","label"]
tags:
["task_categories:text-classification","language:ar","license:cc-by-4.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","Emotion Detection","croissant"]

features:
[{"name":"number","dtype":"string"},{"name":"post","dtype":"string"},{"name":"label","dtype":"string"}]


hub_id: DIBT/aya_en_dpo
license: []
language: []
config_name: messages
column_names: ["id","chosen","rejected","tie","winner"]
features:
[{"name":"id","dtype":"string","id":"field"},{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"tie","dtype":"bool"},{"name":"winner","dtype":"string"}]


hub_id: asas-ai/ExaAEC
license: ["apache-2.0"]
language: ["ar"]
config_name: default
column_names: ["text","label"]
features: [{"name":"text","dtype":"string"},{"name":"label","dtype":"string"}]
tags:
["task_categories:text-classification","language:ar","license:apache-2.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","Multi-label Emotion Classification","croissant"]


hub_id: babs/new-language-identification
license: []
language: []
config_name: default
column_names: ["audio","language"]
features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":24000}}},{"name":"language","struct":[{"name":"language","dtype":"string"}]}]


hub_id: NightRaven109/PBRHeightControlNet
license: []
language: []
config_name: default
column_names: ["albedo_image","height_image","caption"]
features:
[{"name":"albedo_image","dtype":"image"},{"name":"height_image","dtype":"image"},{"name":"caption","dtype":"string"}]


hub_id: mhr2004/wikineg-train
license: []
language: []
config_name: default
column_names: ["dataid","articleid","sent","reverse","prev","prev2","next","next2"]
features:
[{"name":"dataid","dtype":"int32"},{"name":"articleid","dtype":"int32"},{"name":"sent","dtype":"string"},{"name":"reverse","dtype":"string"},{"name":"prev","dtype":"string"},{"name":"prev2","dtype":"string"},{"name":"next","dtype":"string"},{"name":"next2","dtype":"string"}]


hub_id: justshao/arithmetic
license: ["mit"]
language: []
config_name: default
column_names: ["expression","answer_choice","choices","numeric_answer","cateory"]
features:
[{"name":"expression","dtype":"string"},{"name":"answer_choice","dtype":"int64"},{"name":"choices","sequence":"int64"},{"name":"numeric_answer","dtype":"int64"},{"name":"cateory","dtype":"string"}]


hub_id: justshao/triviaQA_as_MCQ
license: []
language: []
config_name: default
column_names:
["question","question_id","question_source","entity_pages","search_results","answer","mc_answer","mc_choices","gpt_generated_wrong_answers","mc_generated_wrong_choices"]

features:
[{"name":"question","dtype":"string"},{"name":"question_id","dtype":"string"},{"name":"question_source","dtype":"string"},{"name":"entity_pages","sequence":[{"name":"doc_source","dtype":"string"},{"name":"filename","dtype":"string"},{"name":"title","dtype":"string"},{"name":"wiki_context","dtype":"string"}]},{"name":"search_results","sequence":[{"name":"description","dtype":"string"},{"name":"filename","dtype":"string"},{"name":"rank","dtype":"int32"},{"name":"title","dtype":"string"},{"name":"url","dtype":"string"},{"name":"search_context","dtype":"string"}]},{"name":"answer","struct":[{"name":"aliases","sequence":"string"},{"name":"normalized_aliases","sequence":"string"},{"name":"matched_wiki_entity_name","dtype":"string"},{"name":"normalized_matched_wiki_entity_name","dtype":"string"},{"name":"normalized_value","dtype":"string"},{"name":"type","dtype":"string"},{"name":"value","dtype":"string"}]},{"name":"mc_answer","dtype":"int64"},{"name":"mc_choices","sequence":"string"},{"name":"gpt_generated_wrong_answers","dtype":"string"},{"name":"mc_generated_wrong_choices","sequence":"string"}]


hub_id: HuggingFaceTB/stanford_2B_search_college_students
license: []
language: []
config_name: default
column_names:
["Unnamed: 0","number","title","description","topic_hits","query","prompt_college_students","completion","token_length"]

features:
[{"name":"Unnamed: 0","dtype":"int64"},{"name":"number","dtype":"string"},{"name":"title","dtype":"string"},{"name":"description","dtype":"string"},{"name":"topic_hits","struct":[{"name":"_id","dtype":"string"},{"name":"_score","dtype":"int64"},{"name":"_source","struct":[{"name":"content","dtype":"string"},{"name":"fw_id","dtype":"string"},{"name":"language_score","dtype":"float64"},{"name":"token_count","dtype":"int64"},{"name":"url","dtype":"string"}]}]},{"name":"query","dtype":"string"},{"name":"prompt_college_students","dtype":"string"},{"name":"completion","dtype":"string"},{"name":"token_length","dtype":"int64"}]


hub_id: ignacioct/flores200_es_en_dev_test
license: []
language: []
config_name: default
column_names: ["id","es_sentence","en_sentence","domain","topic"]
features:
[{"name":"id","dtype":"int64"},{"name":"es_sentence","dtype":"string"},{"name":"en_sentence","dtype":"string"},{"name":"domain","dtype":"string"},{"name":"topic","dtype":"string"}]


hub_id: rachid16/Retrival_evaluation_dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["question","context","chunks","num_chunks","relvent_doc"]
features:
[{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"chunks","sequence":"string"},{"name":"num_chunks","dtype":"int64"},{"name":"relvent_doc","sequence":"int64"}]


hub_id: jezszteo/testing
license: []
language: []
config_name: default
column_names:
["transcript","utterance_pitch_mean","utterance_pitch_std","snr","c50","speaking_rate","phonemes","noise","reverberation","speech_monotony"]

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


hub_id: mjrdbds/classifiers-finetuning-060525
license: []
language: []
config_name: default
column_names: ["input","label","classes"]
features:
[{"name":"input","dtype":"string"},{"name":"label","dtype":"string"},{"name":"classes","sequence":"string"}]


hub_id: rachid16/Retrival_evaluation
license: []
language: []
config_name: default
column_names: ["question","context","chunks","num_chunks","hit_rate","mrr","ndcg"]
features:
[{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"chunks","sequence":"string"},{"name":"num_chunks","dtype":"int64"},{"name":"hit_rate","dtype":"int64"},{"name":"mrr","dtype":"float64"},{"name":"ndcg","dtype":"float64"}]


hub_id: jordandavis/fashion_people_detections
license: []
language: []
config_name: default
column_names:
["id","brand","image_id","caption","image_url","width","height","image","num_people","mask_metadata"]

features:
[{"name":"id","dtype":"float64"},{"name":"brand","dtype":"string"},{"name":"image_id","dtype":"string"},{"name":"caption","dtype":"string"},{"name":"image_url","dtype":"string"},{"name":"width","dtype":"string"},{"name":"height","dtype":"string"},{"name":"image","dtype":"image"},{"name":"num_people","dtype":"int64"},{"name":"mask_metadata","list":[{"name":"box","sequence":"float64"},{"name":"label","dtype":"string"},{"name":"label_id","dtype":"int64"},{"name":"polygons","sequence":{"sequence":"int64"}},{"name":"score","dtype":"float64"}]}]


hub_id: lamm-mit/test_images
license: []
language: []
config_name: default
column_names: ["image","orig_caption","pdf_name","meta_data","url"]
features:
[{"name":"image","dtype":"image"},{"name":"orig_caption","dtype":"string"},{"name":"pdf_name","dtype":"string"},{"name":"meta_data","dtype":"string"},{"name":"url","dtype":"string"}]


hub_id: jacquelinehe/triviaqa_gold
license: []
language: []
config_name: default
column_names: ["id","answers","question","ctxs"]
features:
[{"name":"id","dtype":"string"},{"name":"answers","sequence":"string"},{"name":"question","dtype":"string"},{"name":"ctxs","list":[{"name":"id","dtype":"string"},{"name":"score","dtype":"string"},{"name":"text","dtype":"string"},{"name":"title","dtype":"string"}]}]


hub_id: gbenson/interesting-dom-snapshots
license: ["cc0-1.0"]
language: ["en","zh","nl","cs","ko"]
config_name: default
tags:
["source_datasets:gbenson/webui-dom-snapshots","language:en","language:zh","language:nl","language:cs","language:ko","license:cc0-1.0","size_categories:n<1K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["image","requested_url","displayed_url","num_frames","body_elements","dom_snapshot","capture_options","source_index","source_key_name","source_image_ssim","detected_language"]

features:
[{"name":"image","dtype":"image"},{"name":"requested_url","dtype":"string"},{"name":"displayed_url","dtype":"string"},{"name":"num_frames","dtype":"int64"},{"name":"body_elements","sequence":"string"},{"name":"dom_snapshot","struct":[{"name":"documents","list":[{"name":"documentURL","dtype":"int64"},{"name":"title","dtype":"int64"},{"name":"baseURL","dtype":"int64"},{"name":"contentLanguage","dtype":"int64"},{"name":"encodingName","dtype":"int64"},{"name":"publicId","dtype":"int64"},{"name":"systemId","dtype":"int64"},{"name":"frameId","dtype":"int64"},{"name":"nodes","struct":[{"name":"parentIndex","sequence":"int64"},{"name":"nodeType","sequence":"int64"},{"name":"shadowRootType","struct":[{"name":"index","sequence":"int64"},{"name":"value","sequence":"int64"}]},{"name":"nodeName","sequence":"int64"},{"name":"nodeValue","sequence":"int64"},{"name":"backendNodeId","sequence":"int64"},{"name":"attributes","sequence":{"sequence":"int64"}},{"name":"textValue","struct":[{"name":"index","sequence":"int64"},{"name":"value","sequence":"int64"}]},{"name":"inputValue","struct":[{"name":"index","sequence":"int64"},{"name":"value","sequence":"int64"}]},{"name":"inputChecked","struct":[{"name":"index","sequence":"int64"}]},{"name":"optionSelected","struct":[{"name":"index","sequence":"int64"}]},{"name":"contentDocumentIndex","struct":[{"name":"index","sequence":"int64"},{"name":"value","sequence":"int64"}]},{"name":"pseudoType","struct":[{"name":"index","sequence":"int64"},{"name":"value","sequence":"int64"}]},{"name":"pseudoIdentifier","struct":[{"name":"index","sequence":"null"},{"name":"value","sequence":"null"}]},{"name":"isClickable","struct":[{"name":"index","sequence":"int64"}]},{"name":"currentSourceURL","struct":[{"name":"index","sequence":"int64"},{"name":"value","sequence":"int64"}]},{"name":"originURL","struct":[{"name":"index","sequence":"null"},{"name":"value","sequence":"null"}]}]},{"name":"layout","struct":[{"name":"nodeIndex","sequence":"int64"},{"name":"styles","sequence":{"sequence":"int64"}},{"name":"bounds","sequence":{"sequence":"float64"}},{"name":"text","sequence":"int64"},{"name":"stackingContexts","struct":[{"name":"index","sequence":"int64"}]},{"name":"paintOrders","sequence":"int64"}]},{"name":"textBoxes","struct":[{"name":"layoutIndex","sequence":"int64"},{"name":"bounds","sequence":{"sequence":"float64"}},{"name":"start","sequence":"int64"},{"name":"length","sequence":"int64"}]},{"name":"scrollOffsetX","dtype":"int64"},{"name":"scrollOffsetY","dtype":"int64"},{"name":"contentWidth","dtype":"int64"},{"name":"contentHeight","dtype":"int64"}]},{"name":"strings","sequence":"string"}]},{"name":"capture_options","struct":[{"name":"computedStyles","sequence":"string"},{"name":"includePaintOrder","dtype":"bool"}]},{"name":"source_index","dtype":"int64"},{"name":"source_key_name","dtype":"string"},{"name":"source_image_ssim","dtype":"float64"},{"name":"detected_language","dtype":"string"}]


hub_id: minhquy1624/train_edu_dataset
license: []
language: []
config_name: default
column_names: ["query","context","label"]
features:
[{"name":"query","dtype":"string"},{"name":"context","dtype":"string"},{"name":"label","dtype":"int64"}]


hub_id: Locutusque/caseus_custom
license: []
language: []
config_name: default
column_names:
["model_name","skip_prompt_formatting","avatarUrl","conversations","views","title","system_prompt","language","model","idx","id","category","topic","hash","custom_instruction","source"]

features:
[{"name":"model_name","dtype":"string"},{"name":"skip_prompt_formatting","dtype":"bool"},{"name":"avatarUrl","dtype":"string"},{"name":"conversations","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"},{"name":"weight","dtype":"float64"}]},{"name":"views","dtype":"int64"},{"name":"title","dtype":"string"},{"name":"system_prompt","dtype":"string"},{"name":"language","dtype":"string"},{"name":"model","dtype":"string"},{"name":"idx","dtype":"string"},{"name":"id","dtype":"string"},{"name":"category","dtype":"string"},{"name":"topic","dtype":"string"},{"name":"hash","sequence":"int64"},{"name":"custom_instruction","dtype":"bool"},{"name":"source","dtype":"string"}]


hub_id: orpo-explorers/Capybara-Preferences-ORPO-iter-1
license: []
language: []
config_name: default
column_names:
["source","messages","generation_model","generations","rewards","reward_model","chosen_reward","chosen","rejected_reward","rejected"]

features:
[{"name":"source","dtype":"string"},{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"generation_model","dtype":"string"},{"name":"generations","sequence":"string"},{"name":"rewards","sequence":"float64"},{"name":"reward_model","dtype":"string"},{"name":"chosen_reward","dtype":"float64"},{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected_reward","dtype":"float64"},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: MayAlsofyani/OpenMP1_basic
license: []
language: []
config_name: default
column_names: ["text","label","__index_level_0__","response"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"__index_level_0__","dtype":"int64"},{"name":"response","dtype":"string"}]


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


hub_id: thesven/SyntheticMedicalQA-4336
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["question","response"]
features: [{"name":"question","dtype":"string"},{"name":"response","dtype":"string"}]
tags:
["task_categories:question-answering","language:en","license:apache-2.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","biology","medical","croissant"]


hub_id: lemon-mint/korean_parallel_sentences_v1.1
license: ["mit"]
language: ["ko","en"]
config_name: default
column_names: ["korean","english"]
features: [{"name":"korean","dtype":"string"},{"name":"english","dtype":"string"}]
tags:
["task_categories:translation","task_categories:text2text-generation","language:ko","language:en","license:mit","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","sentence-transformers","translation","korean","english","parallel","embedding","distill","distillation","croissant"]


hub_id: islam23/Retrival_evaluation_NDCG
license: []
language: []
config_name: default
column_names: ["question","context","chunks","num_chunks","ndcg"]
features:
[{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"chunks","sequence":"string"},{"name":"num_chunks","dtype":"int64"},{"name":"ndcg","dtype":"float64"}]


hub_id: yregelman/seinfeld-dialogue
license: []
language: []
config_name: default
column_names: ["Title","Setting","Dialogue","Speaking Character","Addressed Character"]
features:
[{"name":"Title","dtype":"string"},{"name":"Setting","dtype":"string"},{"name":"Dialogue","dtype":"string"},{"name":"Speaking Character","dtype":"string"},{"name":"Addressed Character","dtype":"string"}]


hub_id: lilyyellow/func_calling_v4.1
license: []
language: []
config_name: default
column_names: ["keyword","prompt","response","task","__index_level_0__"]
features:
[{"name":"keyword","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"response","struct":[{"name":"content","dtype":"string"},{"name":"task","dtype":"string"}]},{"name":"task","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: liswei/wikinews-zhtw-dedup
license: []
language: ["zht","zh"]
config_name: default
column_names: ["id","url","title","text"]
tags:
["task_categories:text-generation","task_categories:fill-mask","language:zht","language:zh","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: lilyyellow/func_calling_v4.2
license: []
language: []
config_name: default
column_names: ["keyword","text","response","task","__index_level_0__"]
features:
[{"name":"keyword","dtype":"string"},{"name":"text","dtype":"string"},{"name":"response","struct":[{"name":"content","dtype":"string"},{"name":"task","dtype":"string"}]},{"name":"task","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: liswei/wikipedia-zhtw-dedup
license: []
language: ["zht","zh"]
config_name: default
column_names: ["id","url","title","text"]
tags:
["task_categories:text-generation","task_categories:text2text-generation","task_categories:fill-mask","language:zht","language:zh","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: taesiri/gameplay_get_captions
license: []
language: []
config_name: default
column_names:
["id","game_name","gpt-4v-response","youtube_video_id","category","chat_history","chat_history_json","file_path","image","query_id","query_text"]

features:
[{"name":"id","dtype":"string"},{"name":"game_name","dtype":"string"},{"name":"gpt-4v-response","dtype":"string"},{"name":"youtube_video_id","dtype":"string"},{"name":"category","dtype":"string"},{"name":"chat_history","sequence":{"sequence":"string"}},{"name":"chat_history_json","list":[{"name":"authorRole","dtype":"string"},{"name":"content","struct":[{"name":"messageImages","list":[{"name":"alt","dtype":"string"},{"name":"height","dtype":"int64"},{"name":"src","dtype":"string"},{"name":"width","dtype":"int64"}]},{"name":"textContent","dtype":"string"}]},{"name":"messageId","dtype":"string"}]},{"name":"file_path","dtype":"string"},{"name":"image","dtype":"image"},{"name":"query_id","dtype":"string"},{"name":"query_text","dtype":"string"}]


hub_id: seungwon929/Ja-miracl
license: []
language: ["ja"]
config_name: queries
column_names: ["_id","text"]
features: [{"name":"_id","dtype":"string"},{"name":"text","dtype":"string"}]
tags:
["task_categories:text-retrieval","task_ids:document-retrieval","multilinguality:monolingual","source_datasets:miracl","language:ja","size_categories:1M<n<10M","json","text","datasets","pandas","mlcroissant","region:us","text-retrieval","croissant"]


hub_id: BUAADreamer/mllm_demo
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["messages","images"]
tags:
["task_categories:visual-question-answering","language:en","license:apache-2.0","size_categories:n<1K","region:us","llama-factory"]

features:
[{"name":"messages","list":[{"name":"role","dtype":"string"},{"name":"content","dtype":"string"}]},{"name":"images","sequence":"image"}]


hub_id: islam23/Retrival_evaluation_MRR
license: []
language: []
config_name: default
column_names: ["question","context","chunks","num_chunks","mrr"]
features:
[{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"chunks","sequence":"string"},{"name":"num_chunks","dtype":"int64"},{"name":"mrr","dtype":"float64"}]


hub_id: rajeshradhakrishnan/fin-transaction-category
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["merchant","category"]
features:
[{"name":"merchant","dtype":"string"},{"name":"category","dtype":{"class_label":{"names":{"0":"Shopping","1":"Dining Out","2":"Entertainment","3":"Transportation","4":"Housing","5":"Payments/Credits","6":"Utilities","7":"Service Subscriptions"}}}}]


hub_id: jet-taekyo/screen_play_for_persona
license: ["apache-2.0"]
language: []
config_name: sft_dataset
column_names: ["id","title","cluster_label","system","user","response","A","B","B_embedding","umap_projection"]
tags:
["license:apache-2.0","size_categories:n<1K","parquet","text","timeseries","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"cluster_label","dtype":"int32"},{"name":"system","dtype":"string"},{"name":"user","dtype":"string"},{"name":"response","dtype":"string"},{"name":"A","dtype":"string"},{"name":"B","dtype":"string"},{"name":"B_embedding","sequence":"float32"},{"name":"umap_projection","sequence":"float32"}]


hub_id: duongttr/chebi-20-new
license: []
language: []
config_name: default
column_names: ["image","CID","SMILES","description","SELFIES"]
features:
[{"name":"image","dtype":"image"},{"name":"CID","dtype":"int64"},{"name":"SMILES","dtype":"string"},{"name":"description","dtype":"string"},{"name":"SELFIES","dtype":"string"}]


hub_id: usableteapot/agg
license: []
language: []
config_name: default
column_names: ["model","conversation","source"]
features:
[{"name":"model","dtype":"string"},{"name":"conversation","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"source","dtype":"string"}]


hub_id: ademax/feedback-report
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["src","gold","rejected","pred"]
features:
[{"name":"src","dtype":"string"},{"name":"gold","dtype":"string"},{"name":"rejected","dtype":"string"},{"name":"pred","dtype":"string"}]


hub_id: zenpulsar/is_financial_content
license: []
language: []
config_name: default
column_names: ["text","label","label_name"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"label_name","dtype":"string"}]


hub_id: ytcheng/sm_question1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["content","title","output","merged","all"]
features:
[{"name":"content","dtype":"string"},{"name":"title","dtype":"string"},{"name":"output","sequence":"string"},{"name":"merged","dtype":"string"},{"name":"all","dtype":"string"}]


hub_id: TenzinGayche/test_mt
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input_ids","labels","Direction","__index_level_0__"]
features:
[{"name":"input_ids","sequence":"int32"},{"name":"labels","sequence":"int64"},{"name":"Direction","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: alvarobartt/prometheus-eval-distilabel-index
license: []
language: []
config_name: rel_task
column_names: ["instruction","generation","generations","model_name","feedback","result"]
features:
[{"name":"instruction","dtype":"string"},{"name":"generation","dtype":"string"},{"name":"generations","sequence":"string"},{"name":"model_name","dtype":"string"},{"name":"feedback","dtype":"string"},{"name":"result","dtype":"int64"}]


hub_id: alvarobartt/prometheus-eval-distilabel-generation
license: []
language: []
config_name: rel_task
column_names: ["instruction","generation","generations","model_name","feedback","result"]
features:
[{"name":"instruction","dtype":"string"},{"name":"generation","dtype":"string"},{"name":"generations","sequence":"string"},{"name":"model_name","dtype":"string"},{"name":"feedback","dtype":"string"},{"name":"result","dtype":"string"}]


hub_id: bushali/paper_PVLLM
license: []
language: []
config_name: default
column_names: ["id","class","directory","caption","image"]
features:
[{"name":"id","dtype":"string"},{"name":"class","dtype":"string"},{"name":"directory","dtype":"string"},{"name":"caption","dtype":"string"},{"name":"image","dtype":"image"}]


hub_id: llizhx/sampled_coco2014_val_100_transfer
license: []
language: []
config_name: default
column_names:
["question_id","image","question","answer","id","license","file_name","coco_url","height","width","date_captured","instance","revised"]

features:
[{"name":"question_id","dtype":"string"},{"name":"image","dtype":"image"},{"name":"question","dtype":"string"},{"name":"answer","sequence":"string"},{"name":"id","dtype":"int64"},{"name":"license","dtype":"int8"},{"name":"file_name","dtype":"string"},{"name":"coco_url","dtype":"string"},{"name":"height","dtype":"int32"},{"name":"width","dtype":"int32"},{"name":"date_captured","dtype":"string"},{"name":"instance","sequence":"string"},{"name":"revised","sequence":"string"}]


hub_id: safinal/summarization_instruction-persian
license: []
language: []
config_name: default
column_names: ["output","input","domain","id","source","link","instruction"]
features:
[{"name":"output","dtype":"string"},{"name":"input","dtype":"string"},{"name":"domain","dtype":"string"},{"name":"id","dtype":"string"},{"name":"source","dtype":"string"},{"name":"link","dtype":"string"},{"name":"instruction","dtype":"string"}]


hub_id: kaist-ai/Multifaceted-Collection-RM
license: ["cc-by-4.0"]
language: []
config_name: default
column_names: ["input","chosen","rejected"]
tags:
["task_categories:text-classification","license:cc-by-4.0","size_categories:10M<n<100M","parquet","text","datasets","pandas","mlcroissant","arxiv:2405.17977","region:us","croissant"]

features:
[{"name":"input","dtype":"string"},{"name":"chosen","dtype":"string"},{"name":"rejected","dtype":"string"}]


hub_id: rrr7/llama3_test_hi_instruct_dataset_short
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input","output","prompt","qid"]
features:
[{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"qid","dtype":"string"}]


hub_id: huy-nh-2000/instructUIE
license: []
language: []
config_name: RE
column_names: ["Task","Dataset","subset","Samples","Instance"]
features:
[{"name":"Task","dtype":"string"},{"name":"Dataset","dtype":"string"},{"name":"subset","dtype":"string"},{"name":"Samples","sequence":"null"},{"name":"Instance","struct":[{"name":"id","dtype":"string"},{"name":"sentence","dtype":"string"},{"name":"label","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"ground_truth","dtype":"string"}]}]


hub_id: MaximTitarenkoUIT/ca_statements_dsc-1.3b_100_Qwen_110B
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["code","summary","statements_from_code","statements_from_summary"]
features:
[{"name":"code","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"statements_from_code","sequence":"string"},{"name":"statements_from_summary","sequence":"string"}]


hub_id: mteb/tweet_sentiment_multilingual
license: []
language: ["en","ar","fr","de","hi","it","pt","es"]
config_name: sentiment
column_names: ["text","label"]
tags:
["task_categories:text-classification","task_ids:sentiment-classification","multilinguality:multilingual","source_datasets:extended|other-tweet-datasets","language:en","language:ar","language:fr","language:de","language:hi","language:it","language:pt","language:es","size_categories:10K<n<100K","json","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: Rocktim/EXAMS-V
license: []
language: []
config_name: default
tags:
["size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","arxiv:2403.10378","region:us","croissant"]

column_names:
["image","sample_id","answer_key","type","grade","subject","subject_grouped","language","chemical_structure","table","figure","graph"]

features:
[{"name":"image","dtype":"image"},{"name":"sample_id","dtype":"string"},{"name":"answer_key","dtype":"string"},{"name":"type","dtype":"string"},{"name":"grade","dtype":"string"},{"name":"subject","dtype":"string"},{"name":"subject_grouped","dtype":"string"},{"name":"language","dtype":"string"},{"name":"chemical_structure","dtype":"float64"},{"name":"table","dtype":"float64"},{"name":"figure","dtype":"float64"},{"name":"graph","dtype":"float64"}]


hub_id: vipinkatara/SFT_data223
license: []
language: []
config_name: default
column_names: ["messages","__index_level_0__"]
features:
[{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: RiTA-nlp/UINAUIL
license: ["cc-by-nc-sa-4.0"]
language: ["it"]
config_name: sentipolc
column_names: ["twitterid","text","subj","opos","oneg","iro","lpos","lneg","top"]
tags:
["language:it","license:cc-by-nc-sa-4.0","size_categories:10K<n<100K","csv","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"twitterid","dtype":"string"},{"name":"text","dtype":"string"},{"name":"subj","dtype":"int8"},{"name":"opos","dtype":"int8"},{"name":"oneg","dtype":"int8"},{"name":"iro","dtype":"int8"},{"name":"lpos","dtype":"int8"},{"name":"lneg","dtype":"int8"},{"name":"top","dtype":"int8"}]


hub_id: Adithya1110/Ganesh7162
license: []
language: []
config_name: default
column_names: ["flags","instruction","category","intent","response","text"]
features:
[{"name":"flags","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"category","dtype":"string"},{"name":"intent","dtype":"string"},{"name":"response","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: ineoApp/data-2024-05-07
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":"numero facture","2":"date facture","3":"date limite","4":"montant ht","5":"montant ttc","6":"tva","7":"prix tva","8":"reference","9":"Devise","10":"Condition de paiement","11":"Mode de paiement","12":"vendeur","13":"adresse vendeur","14":"informations vendeur","15":"ice vendeur","16":"rc vendeur","17":"if vendeur","18":"patente vendeur","19":"acheteur","20":"adresse acheteur","21":"informations acheteur","22":"ice acheteur","23":"art1 Article","24":"art1 designation","25":"art1 quantite","26":"art1 unite","27":"art1 prix unit","28":"art1 montant ht","29":"art1 taux de remise","30":"art1 tva","31":"art2 Article","32":"art2 designation","33":"art2 quantite","34":"art2 unite","35":"art2 prix unit","36":"art2 montant ht","37":"art2 taux de remise","38":"art2 tva","39":"art3 Article","40":"art3 designation","41":"art3 quantite","42":"art3 unite","43":"art3 prix unit","44":"art3 montant ht","45":"art3 taux de remise","46":"art3 tva","47":"art4 Article","48":"art4 designation","49":"art4 quantite","50":"art4 unite","51":"art4 prix unit","52":"art4 montant ht","53":"art4 taux de remise","54":"art4 tva","55":"art5 Article","56":"art5 designation","57":"art5 quantite","58":"art5 unite","59":"art5 prix unit","60":"art5 montant ht","61":"art5 taux de remise","62":"art5 tva","63":"art6 Article","64":"art6 designation","65":"art6 quantite","66":"art6 unite","67":"art6 prix unit","68":"art6 montant ht","69":"art6 taux de remise","70":"art6 tva","71":"art7 Article","72":"art7 designation","73":"art7 quantite","74":"art7 unite","75":"art7 prix unit","76":"art7 montant ht","77":"art7 taux de remise","78":"art7 tva","79":"art8 Article","80":"art8 designation","81":"art8 quantite","82":"art8 unite","83":"art8 prix unit","84":"art8 montant ht","85":"art8 taux de remise","86":"art8 tva","87":"art9 Article","88":"art9 designation","89":"art9 quantite","90":"art9 unite","91":"art9 prix unit","92":"art9 montant ht","93":"art9 taux de remise","94":"art9 tva","95":"art10 Article","96":"art10 designation","97":"art10 quantite","98":"art10 unite","99":"art10 prix unit","100":"art10 montant ht","101":"art10 taux de remise","102":"art10 tva","103":"art11 Article","104":"art11 designation","105":"art11 quantite","106":"art11 unite","107":"art11 prix unit","108":"art11 montant ht","109":"art11 taux de remise","110":"art11 tva","111":"art12 Article","112":"art12 designation","113":"art12 quantite","114":"art12 unite","115":"art12 prix unit","116":"art12 montant ht","117":"art12 taux de remise","118":"art12 tva","119":"art13 Article","120":"art13 designation","121":"art13 quantite","122":"art13 unite","123":"art13 prix unit","124":"art13 montant ht","125":"art13 taux de remise","126":"art13 tva","127":"art14 Article","128":"art14 designation","129":"art14 quantite","130":"art14 unite","131":"art14 prix unit","132":"art14 montant ht","133":"art14 taux de remise","134":"art14 tva"}}}},{"name":"tokens","sequence":"string"}]


hub_id: yuri-no/MLDR-ita
license: []
language: []
config_name: default
column_names: ["query_id","query","positive_passages","negative_passages"]
tags:
["size_categories:1K<n<10K","parquet","text","datasets","dask","mlcroissant","arxiv:2402.03216","region:us","croissant"]


hub_id: yuri-no/MLDR-corpus-ita
license: []
language: []
config_name: default
column_names: ["docid","text"]
features: [{"name":"docid","dtype":"string"},{"name":"text","dtype":"string"}]
tags:
["size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:2402.03216","region:us","croissant"]


hub_id: Sathviksoma/training_data_2
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["answer","question","context","final_column"]
features:
[{"name":"answer","dtype":"string"},{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"final_column","dtype":"string"}]


hub_id: brijesh24bs/ultrafeedback-curated
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["source","instruction","model","custom_system_prompt","model_response","critique"]
features:
[{"name":"source","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"model","dtype":"string"},{"name":"custom_system_prompt","dtype":"string"},{"name":"model_response","dtype":"string"},{"name":"critique","dtype":"string"}]


hub_id: distilabel-internal-testing/instruction-dataset-prometheus
license: []
language: []
config_name: default
column_names: ["instruction","generation","feedback","result","model_name"]
features:
[{"name":"instruction","dtype":"string"},{"name":"generation","dtype":"string"},{"name":"feedback","dtype":"string"},{"name":"result","dtype":"int64"},{"name":"model_name","dtype":"string"}]


hub_id: sid1877/Resume-dataset-2024
license: []
language: []
config_name: default
column_names: ["instruction","input","Resume_test","text"]
features:
[{"name":"instruction","dtype":"string"},{"name":"input","dtype":"null"},{"name":"Resume_test","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: liswei/Taiwan-Text-Excellence-2B
license: ["cc-by-nc-sa-4.0"]
language: ["zh"]
config_name: default
column_names: ["text","meta","id"]
features: [{"name":"text","dtype":"string"},{"name":"meta","dtype":"string"},{"name":"id","dtype":"string"}]
tags:
["task_categories:text-generation","language:zh","license:cc-by-nc-sa-4.0","size_categories:100M<n<1B","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: Rega13/11labs_test
license: []
language: []
config_name: default
column_names: ["text","audio","speaker"]
features:
[{"name":"text","dtype":"string"},{"name":"audio","dtype":"audio"},{"name":"speaker","dtype":"string"}]


hub_id: ultranationalism/cartoon-blip-captions-npz
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["image","text"]
features:
[{"name":"image","sequence":{"sequence":{"sequence":{"sequence":"float32"}}}},{"name":"text","dtype":"string"}]


hub_id: npvinHnivqn/llm-test-dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["id","content","content_type","inputs_embeds","input_ids","attention_mask","query_ids","query_attention_mask"]

features:
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hub_id: cjsanjay/openfunction_meraki_v1
license: []
language: []
config_name: default
column_names: ["Output","Instruction","Functions","text"]
features:
[{"name":"Output","struct":[{"name":"api_name","dtype":"string"},{"name":"arguments","dtype":"string"}]},{"name":"Instruction","dtype":"string"},{"name":"Functions","sequence":"string"},{"name":"text","dtype":"string"}]


hub_id: edbeeching/aimo_dataset_with_gen_results-10
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["messages","prompt","completion","gen_prompt","gen_results"]
features:
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hub_id: HuggingFaceTB/bisac_boosted_new_index_2000_0
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["top_category","subcategory","subtopic","topic_hits","num_hits"]
features:
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hub_id: davanstrien/cosmochat
license: ["cc0-1.0"]
language: ["en"]
config_name: default
column_names: ["cosmopedia_text","audience","dialogue","final_question_prompt"]
tags:
["language:en","license:cc0-1.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:2306.11644","region:us","synthetic","distilabel","rlaif","croissant"]

features:
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hub_id: tmrmr/tmp-dolch-gpt2-dataset
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["text","log_prob","perplexity","token_size"]
features:
[{"name":"text","dtype":"string"},{"name":"log_prob","dtype":"float64"},{"name":"perplexity","dtype":"float64"},{"name":"token_size","dtype":"int64"}]


hub_id: maartensap/ToxicityPrompts
license: []
language: []
config_name: wildchat-zh
column_names: ["prompt","prompt_perspective","toxicity_bucket","meta_data","prompt_toxicity"]
features:
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hub_id: BUAADreamer/llava-med-zh-instruct-60k
license: ["apache-2.0"]
language: ["zh"]
config_name: default
column_names: ["messages","images"]
tags:
["task_categories:visual-question-answering","task_categories:image-to-text","language:zh","license:apache-2.0","size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","region:us","medical","biology","llama-factory","croissant"]


hub_id: truongpdd/BIRD_for_augment_sql2question
license: []
language: []
config_name: default
column_names: ["q_id","input_ids","attention_mask","labels","input_text","output_text","input_prompt"]
features:
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hub_id: dpdl-benchmark/caltech_birds2011
license: []
language: []
config_name: default
column_names: ["image","image/filename","label","label_name","bbox","segmentation_mask"]
features:
[{"name":"image","dtype":"image"},{"name":"image/filename","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"label_name","dtype":"string"},{"name":"bbox","sequence":"float32"},{"name":"segmentation_mask","dtype":"image"}]


hub_id: 2A2I/Aya-AceGPT.13B.Chat-DPO
license: ["apache-2.0"]
language: ["ar"]
config_name: default
column_names: ["id","prompt","chosen","rejected","model"]
tags:
["language:ar","license:apache-2.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","dpo","orpo","croissant"]

features:
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hub_id: SamSaver/react-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":"float64"},{"name":"comments","sequence":"string"},{"name":"created_at","dtype":"string"},{"name":"updated_at","dtype":"string"},{"name":"closed_at","dtype":"string"},{"name":"author_association","dtype":"string"},{"name":"active_lock_reason","dtype":"string"},{"name":"draft","dtype":"bool"},{"name":"pull_request","dtype":"string"},{"name":"body","dtype":"string"},{"name":"reactions","dtype":"string"},{"name":"timeline_url","dtype":"string"},{"name":"performed_via_github_app","dtype":"float64"},{"name":"state_reason","dtype":"string"},{"name":"is_pull_request","dtype":"bool"}]


hub_id: thebikashsah/tiny-stories-final-year-project
license: []
language: []
config_name: default
column_names: ["story","summary","text"]
features:
[{"name":"story","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: rachid16/Retrival_evaluation_HR1
license: []
language: []
config_name: default
column_names: ["question","context","chunks","num_chunks","hit_rate"]
features:
[{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"chunks","sequence":"string"},{"name":"num_chunks","dtype":"int64"},{"name":"hit_rate","dtype":"int64"}]


hub_id: SDuttagupta/dataset_minecraft_small
license: []
language: []
config_name: default
column_names: ["id","questions","answers"]
features:
[{"name":"id","dtype":"string"},{"name":"questions","dtype":"string"},{"name":"answers","dtype":"string"}]


hub_id: HoangHa/belka-smiles-train-processed
license: []
language: []
config_name: default
column_names:
["buildingblock1_smiles","buildingblock2_smiles","buildingblock3_smiles","molecule_smiles","BRD4","HSA","sEH"]

features:
[{"name":"buildingblock1_smiles","dtype":"large_string"},{"name":"buildingblock2_smiles","dtype":"large_string"},{"name":"buildingblock3_smiles","dtype":"large_string"},{"name":"molecule_smiles","dtype":"large_string"},{"name":"BRD4","dtype":"int64"},{"name":"HSA","dtype":"int64"},{"name":"sEH","dtype":"int64"}]


hub_id: parislo/test_data
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["file_id","content","repo","path","token_length","original_comment","comment_type","detected_lang","prompt","masked_data","predict","tokenized_data","tokenized_text"]

features:
[{"name":"file_id","dtype":"string"},{"name":"content","dtype":"string"},{"name":"repo","dtype":"string"},{"name":"path","dtype":"string"},{"name":"token_length","dtype":"int64"},{"name":"original_comment","dtype":"string"},{"name":"comment_type","dtype":"string"},{"name":"detected_lang","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"masked_data","dtype":"string"},{"name":"predict","dtype":"string"},{"name":"tokenized_data","sequence":"int64"},{"name":"tokenized_text","sequence":"string"}]


hub_id: coastalcph/wiqueen_aug
license: []
language: []
config_name: default
column_names:
["q_1_type","q_1_id","p_type","p_id","q_2_type","q_2_id","q_1_source","q_1_source_id","q_1_target","q_1_target_id","q_2_source","q_2_source_id","q_2_target","q_2_target_id","lang","id"]

features:
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hub_id: igormorgado-cw/datadrafts
license: ["other"]
language: ["en"]
config_name: default
tags:
["task_categories:tabular-classification","task_ids:tabular-single-column-regression","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:Cloudwalk Lending Dataset","language:en","license:other","size_categories:10K<n<100K","region:us","tabular-data","risk-classification","merchant","finance","lending"]

column_names:
["label","batch","split","merchant_id","loan_id","market_id","user_loan_count","borrowed_amount","paid_amount","cumulative_repayments","percentage_paid","event_timestamp","loan_duration","allowlist_date","geohash_7","geohash_6","geohash_5","geohash_4","geohash_3","code_tract_id","active_cnp_days_since_aquisition_from_merchant","active_cp_days_since_aquisition_from_merchant","active_days_high_amount_since_acquisition_from_merchant","amount_approved_contactless_sum_from_merchant","amount_approved_pl_avg_from_merchant","amount_contactless_avg_from_merchant","amount_contactless_sum_from_merchant","amount_not_pl_avg_from_merchant","amount_not_pl_sum_from_merchant","amount_pl_avg_from_merchant","approved_pix_amount_from_merchant","cnp_top1_cid_app_tpv_from_merchant","cp_top1_cid_app_tpv_from_merchant","cp_top1_cid_count_trx_from_merchant","cp_top1_cid_tpv_ratio_from_merchant","denied_bin_count_from_merchant","denied_bin_sum_from_merchant","inactivity_ratio_from_merchant","active_cp_days_from_merchant_last_30d","active_over_50_brl_cp_days_from_merchant_last_30d","active_over_50_brl_pix_days_from_merchant_last_30d","address_updated_at","afternoon_transaction_count_and_transaction_count_ratio_from_merchant_last_90d_v2","amount_sum_from_merchant_last_7d","amount_sum_from_merchant_last_30d","amount_sum_from_merchant_last_90d","approved_contactless_transaction_amount_from_merchant_last_30d","approved_transaction_amount_from_merchant_last_30d","avg_cp_installment_from_merchant_last_30d","denied_transaction_amount_from_merchant_last_30d","evening_transaction_count_and_transaction_count_ratio_from_merchant_last_30d_v2","evening_transaction_count_from_merchant_last_30d_v2","morning_transaction_count_and_transaction_count_ratio_from_merchant_last_7d","morning_transaction_count_and_transaction_count_ratio_from_merchant_last_90d_v2","morning_transaction_count_from_merchant_last_90d_v2","transaction_amount_authorization_code_insufficient_funds_from_merchant_last_30d","amount_transaction_max_from_merchant","amount_transaction_p25_from_merchant","amount_transaction_p90_from_merchant","approved_amount_transaction_max_from_merchant","customer_recurring_count_and_customer_unique_count_ratio_from_merchant","customer_unique_count_from_merchant","app_active_days_from_merchant_last_30d","app_sessions_per_active_day_from_merchant_last_30d","app_sum_session_time_from_merchant_last_30d","approved_transaction_amount_from_merchant_last_12h","avg_time_first_reply_seconds_from_merchant_last_90d","company_opening_and_account_opening_time_diff_from_merchant","created_at_from_merchant","opening_date_from_merchant","cumulative_daily_count_cp_trx","rolling_cnae_avg","transaction_approved_amount_5d","transaction_approved_count_5d","day_last_cp_transaction","day_last_ctls_transaction","day_last_denied_cp_transaction","day_last_denied_ctls_transaction","day_last_pl_transaction","day_last_plw_transaction","days_financial_system_relationship_from_merchant","ratio_active_credit_total_credit_from_merchant","sum_credit_from_merchant","median_device_lifespan_over_user_lifespan","percentile_time_since_last_txn_from_merchant","percentile_time_since_last_txn_from_merchant_last_15d","sum_amount_transaction_with_highest_freq_bin_from_merchant_last_30d","sum_approved_amount_cp_transaction_with_highest_freq_bin_from_merchant_last_30d","top_one_card_token_id_transaction_amount_ratio_from_merchant_last_180d","top_one_card_token_id_transactions_amount_from_merchant_last_180d"]

features:
[{"name":"label","dtype":"bool"},{"name":"batch","dtype":"string"},{"name":"split","dtype":"string"},{"name":"merchant_id","dtype":"int64"},{"name":"loan_id","dtype":"int64"},{"name":"market_id","dtype":"int64"},{"name":"user_loan_count","dtype":"int64"},{"name":"borrowed_amount","dtype":"float64"},{"name":"paid_amount","dtype":"float64"},{"name":"cumulative_repayments","dtype":"float64"},{"name":"percentage_paid","dtype":"float64"},{"name":"event_timestamp","dtype":"timestamp[ns, tz=UTC]"},{"name":"loan_duration","dtype":"int64"},{"name":"allowlist_date","dtype":"timestamp[ns, tz=UTC]"},{"name":"geohash_7","dtype":"string"},{"name":"geohash_6","dtype":"string"},{"name":"geohash_5","dtype":"string"},{"name":"geohash_4","dtype":"string"},{"name":"geohash_3","dtype":"string"},{"name":"code_tract_id","dtype":"int64"},{"name":"active_cnp_days_since_aquisition_from_merchant","dtype":"int64"},{"name":"active_cp_days_since_aquisition_from_merchant","dtype":"int64"},{"name":"active_days_high_amount_since_acquisition_from_merchant","dtype":"int64"},{"name":"amount_approved_contactless_sum_from_merchant","dtype":"float64"},{"name":"amount_approved_pl_avg_from_merchant","dtype":"float64"},{"name":"amount_contactless_avg_from_merchant","dtype":"float64"},{"name":"amount_contactless_sum_from_merchant","dtype":"float64"},{"name":"amount_not_pl_avg_from_merchant","dtype":"float64"},{"name":"amount_not_pl_sum_from_merchant","dtype":"float64"},{"name":"amount_pl_avg_from_merchant","dtype":"float64"},{"name":"approved_pix_amount_from_merchant","dtype":"float64"},{"name":"cnp_top1_cid_app_tpv_from_merchant","dtype":"float64"},{"name":"cp_top1_cid_app_tpv_from_merchant","dtype":"float64"},{"name":"cp_top1_cid_count_trx_from_merchant","dtype":"int64"},{"name":"cp_top1_cid_tpv_ratio_from_merchant","dtype":"float64"},{"name":"denied_bin_count_from_merchant","dtype":"int64"},{"name":"denied_bin_sum_from_merchant","dtype":"float64"},{"name":"inactivity_ratio_from_merchant","dtype":"float64"},{"name":"active_cp_days_from_merchant_last_30d","dtype":"int64"},{"name":"active_over_50_brl_cp_days_from_merchant_last_30d","dtype":"int64"},{"name":"active_over_50_brl_pix_days_from_merchant_last_30d","dtype":"int64"},{"name":"address_updated_at","dtype":"timestamp[us, tz=UTC]"},{"name":"afternoon_transaction_count_and_transaction_count_ratio_from_merchant_last_90d_v2","dtype":"float64"},{"name":"amount_sum_from_merchant_last_7d","dtype":"float64"},{"name":"amount_sum_from_merchant_last_30d","dtype":"float64"},{"name":"amount_sum_from_merchant_last_90d","dtype":"float64"},{"name":"approved_contactless_transaction_amount_from_merchant_last_30d","dtype":"int64"},{"name":"approved_transaction_amount_from_merchant_last_30d","dtype":"float64"},{"name":"avg_cp_installment_from_merchant_last_30d","dtype":"float64"},{"name":"denied_transaction_amount_from_merchant_last_30d","dtype":"float64"},{"name":"evening_transaction_count_and_transaction_count_ratio_from_merchant_last_30d_v2","dtype":"float64"},{"name":"evening_transaction_count_from_merchant_last_30d_v2","dtype":"int64"},{"name":"morning_transaction_count_and_transaction_count_ratio_from_merchant_last_7d","dtype":"float64"},{"name":"morning_transaction_count_and_transaction_count_ratio_from_merchant_last_90d_v2","dtype":"float64"},{"name":"morning_transaction_count_from_merchant_last_90d_v2","dtype":"int64"},{"name":"transaction_amount_authorization_code_insufficient_funds_from_merchant_last_30d","dtype":"float64"},{"name":"amount_transaction_max_from_merchant","dtype":"float64"},{"name":"amount_transaction_p25_from_merchant","dtype":"float64"},{"name":"amount_transaction_p90_from_merchant","dtype":"float64"},{"name":"approved_amount_transaction_max_from_merchant","dtype":"float64"},{"name":"customer_recurring_count_and_customer_unique_count_ratio_from_merchant","dtype":"float64"},{"name":"customer_unique_count_from_merchant","dtype":"float64"},{"name":"app_active_days_from_merchant_last_30d","dtype":"int64"},{"name":"app_sessions_per_active_day_from_merchant_last_30d","dtype":"float64"},{"name":"app_sum_session_time_from_merchant_last_30d","dtype":"int64"},{"name":"approved_transaction_amount_from_merchant_last_12h","dtype":"float64"},{"name":"avg_time_first_reply_seconds_from_merchant_last_90d","dtype":"float64"},{"name":"company_opening_and_account_opening_time_diff_from_merchant","dtype":"int64"},{"name":"created_at_from_merchant","dtype":"timestamp[us, tz=UTC]"},{"name":"opening_date_from_merchant","dtype":"timestamp[us, tz=UTC]"},{"name":"cumulative_daily_count_cp_trx","dtype":"int64"},{"name":"rolling_cnae_avg","dtype":"float64"},{"name":"transaction_approved_amount_5d","dtype":"float64"},{"name":"transaction_approved_count_5d","dtype":"float64"},{"name":"day_last_cp_transaction","dtype":"timestamp[us, tz=UTC]"},{"name":"day_last_ctls_transaction","dtype":"timestamp[us, tz=UTC]"},{"name":"day_last_denied_cp_transaction","dtype":"timestamp[us, tz=UTC]"},{"name":"day_last_denied_ctls_transaction","dtype":"timestamp[us, tz=UTC]"},{"name":"day_last_pl_transaction","dtype":"timestamp[us, tz=UTC]"},{"name":"day_last_plw_transaction","dtype":"timestamp[us, tz=UTC]"},{"name":"days_financial_system_relationship_from_merchant","dtype":"int64"},{"name":"ratio_active_credit_total_credit_from_merchant","dtype":"float64"},{"name":"sum_credit_from_merchant","dtype":"float64"},{"name":"median_device_lifespan_over_user_lifespan","dtype":"float64"},{"name":"percentile_time_since_last_txn_from_merchant","dtype":"float64"},{"name":"percentile_time_since_last_txn_from_merchant_last_15d","dtype":"float64"},{"name":"sum_amount_transaction_with_highest_freq_bin_from_merchant_last_30d","dtype":"float64"},{"name":"sum_approved_amount_cp_transaction_with_highest_freq_bin_from_merchant_last_30d","dtype":"float64"},{"name":"top_one_card_token_id_transaction_amount_ratio_from_merchant_last_180d","dtype":"float64"},{"name":"top_one_card_token_id_transactions_amount_from_merchant_last_180d","dtype":"float64"}]


hub_id: franlucc/py_delete_annotation_may3_seed-0-1_starcoderbase-1b
license: []
language: []
config_name: default
column_names:
["mutated_program","mutations","key","prefix","suffix","middle","correct","model","fim_type","fim_program","hexsha","mutated_generated_text"]

features:
[{"name":"mutated_program","dtype":"string"},{"name":"mutations","sequence":"string"},{"name":"key","dtype":"string"},{"name":"prefix","dtype":"string"},{"name":"suffix","dtype":"string"},{"name":"middle","dtype":"string"},{"name":"correct","dtype":"bool"},{"name":"model","dtype":"string"},{"name":"fim_type","dtype":"string"},{"name":"fim_program","dtype":"string"},{"name":"hexsha","dtype":"string"},{"name":"mutated_generated_text","dtype":"string"}]


hub_id: HuggingFaceTB/fineweb_2024_edu_scores
license: []
language: []
config_name: default
column_names: ["text","id","metadata","score","int_score"]
features:
[{"name":"text","dtype":"string"},{"name":"id","dtype":"string"},{"name":"metadata","struct":[{"name":"dump","dtype":"string"},{"name":"url","dtype":"string"},{"name":"date","dtype":"timestamp[s]"},{"name":"file_path","dtype":"string"},{"name":"language","dtype":"string"},{"name":"language_score","dtype":"float64"},{"name":"token_count","dtype":"int64"}]},{"name":"score","dtype":"float64"},{"name":"int_score","dtype":"int64"}]


hub_id: ShazShoaib/SingleFloorDatasetDemo
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["image","text"]
features: [{"name":"image","dtype":"image"},{"name":"text","dtype":"string"}]
tags:
["task_categories:text-to-image","language:en","license:mit","size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: francepfl/mantis_dataset
license: []
language: []
config_name: mantis_cot
column_names: ["id","images","conversation"]
features:
[{"name":"id","dtype":"string"},{"name":"images","list":[{"name":"bytes","dtype":"null"},{"name":"path","dtype":"string"}]},{"name":"conversation","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]}]


hub_id: graycatHCO3/Simple_SFSA_e2t_0200
license: ["mpl-2.0"]
language: []
config_name: default
column_names: ["turn","details","dialogue","dataset_name"]
tags:
["license:mpl-2.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"turn","dtype":"string"},{"name":"details","struct":[{"name":"actions","list":[{"name":"adversary_0","dtype":"int64"},{"name":"agent_0","dtype":"int64"},{"name":"agent_1","dtype":"int64"}]},{"name":"next_state","struct":[{"name":"adversary_0(Thief)","sequence":"float64"},{"name":"agent_0(Elf Wizard)","sequence":"float64"},{"name":"agent_1(Human Warrior)","sequence":"float64"}]},{"name":"reward","list":[{"name":"adversary_0","dtype":"float64"},{"name":"agent_0","dtype":"float64"},{"name":"agent_1","dtype":"float64"}]},{"name":"state","list":[{"name":"adversary_0(Thief)","sequence":"float64"},{"name":"agent_0(Elf Wizard)","sequence":"float64"},{"name":"agent_1(Human Warrior)","sequence":"float64"}]}]},{"name":"dialogue","sequence":"string"},{"name":"dataset_name","dtype":"string"}]


hub_id: mhr2004/wikineg-train-nsp-1000
license: []
language: []
config_name: default
column_names: ["text","label","label2"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"label2","dtype":"int64"}]


hub_id: yashpalsharma/UserStoryToTestCaseConverter
license: ["openrail"]
language: ["en"]
config_name: default
column_names: ["Prompts","updated_result"]
features: [{"name":"Prompts","dtype":"string"},{"name":"updated_result","dtype":"string"}]
tags:
["task_categories:question-answering","task_categories:text-generation","language:en","license:openrail","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","software-testing","croissant"]


hub_id: BEE-spoke-data/UltraTextbooks-2.1-fw_mix
license: ["odc-by"]
language: ["en"]
config_name: default
column_names: ["text","source"]
features: [{"name":"text","dtype":"string"},{"name":"source","dtype":"string"}]
tags:
["task_categories:text-generation","task_categories:feature-extraction","task_categories:fill-mask","language:en","license:odc-by","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: ed-00/SQUAD_GPT4_INSTRUCTIONS
license: []
language: []
config_name: default
column_names: ["instruction","output","type","template"]
features:
[{"name":"instruction","dtype":"string"},{"name":"output","dtype":"string"},{"name":"type","dtype":"string"},{"name":"template","dtype":"string"}]


hub_id: asas-ai/AraTrust
license: ["mit"]
language: ["ar"]
config_name: default
column_names: ["Question","A","B","C","Answer","Category","Subcategory"]
tags:
["language:ar","license:mit","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"Question","dtype":"string"},{"name":"A","dtype":"string"},{"name":"B","dtype":"string"},{"name":"C","dtype":"string"},{"name":"Answer","dtype":"string"},{"name":"Category","dtype":"string"},{"name":"Subcategory","dtype":"string"}]


hub_id: tvergho/honesty_triviaqa_zephyr_responses_v1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["question","question_id","question_source","entity_pages","search_results","answer","rewritten_question","category","context","is_unanswerable","zephyr_response","zephyr_rewritten_response","rewritten_preferred_response"]

features:
[{"name":"question","dtype":"string"},{"name":"question_id","dtype":"string"},{"name":"question_source","dtype":"string"},{"name":"entity_pages","dtype":"string"},{"name":"search_results","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"rewritten_question","dtype":"string"},{"name":"category","dtype":"string"},{"name":"context","dtype":"string"},{"name":"is_unanswerable","dtype":"bool"},{"name":"zephyr_response","dtype":"string"},{"name":"zephyr_rewritten_response","dtype":"string"},{"name":"rewritten_preferred_response","dtype":"string"}]


hub_id: tanyagoyal-p/wildchat-factual-classify-wiiretrieval
license: []
language: []
config_name: default
column_names:
["Unnamed: 0","index","index_original_df","conversation_id","user","assistant","model_resp_straightforward","model_resp_category_clean","docs"]

features:
[{"name":"Unnamed: 0","dtype":"int64"},{"name":"index","dtype":"int64"},{"name":"index_original_df","dtype":"int64"},{"name":"conversation_id","dtype":"string"},{"name":"user","dtype":"string"},{"name":"assistant","dtype":"string"},{"name":"model_resp_straightforward","dtype":"string"},{"name":"model_resp_category_clean","dtype":"string"},{"name":"docs","list":[{"name":"id","dtype":"string"},{"name":"score","dtype":"float64"},{"name":"text","dtype":"string"},{"name":"title","dtype":"string"}]}]


hub_id: Chijioke-Mgbahurike/spot_data_men
license: []
language: []
config_name: default
tags:
["size_categories:n<1K","parquet","audio","text","timeseries","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["audio","Unnamed: 0","transcription","annotator_id","filename","num_speakers","aave","aave_speaker_count","chicano_english","ce_speaker_count","spanglish","spanglish_speaker_count","sae","sae_speaker_count","codeswitching","other_dialect_accent","women","women_speaker_count","men","men_speaker_count","demographic_info_correct","demographic_group","input_values","input_length","labels"]

features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"Unnamed: 0","dtype":"int64"},{"name":"transcription","dtype":"string"},{"name":"annotator_id","dtype":"float64"},{"name":"filename","dtype":"string"},{"name":"num_speakers","dtype":"float64"},{"name":"aave","dtype":"float64"},{"name":"aave_speaker_count","dtype":"float64"},{"name":"chicano_english","dtype":"float64"},{"name":"ce_speaker_count","dtype":"float64"},{"name":"spanglish","dtype":"float64"},{"name":"spanglish_speaker_count","dtype":"float64"},{"name":"sae","dtype":"float64"},{"name":"sae_speaker_count","dtype":"float64"},{"name":"codeswitching","dtype":"float64"},{"name":"other_dialect_accent","dtype":"float64"},{"name":"women","dtype":"float64"},{"name":"women_speaker_count","dtype":"float64"},{"name":"men","dtype":"float64"},{"name":"men_speaker_count","dtype":"float64"},{"name":"demographic_info_correct","dtype":"float64"},{"name":"demographic_group","dtype":"string"},{"name":"input_values","sequence":"float32"},{"name":"input_length","dtype":"float64"},{"name":"labels","sequence":"int64"}]


hub_id: CarterKruse/non-prehensile-manipulation
license: []
language: []
config_name: default
column_names: ["trajectory_id","rgb","depth","poses","meta"]
features:
[{"name":"trajectory_id","dtype":"string"},{"name":"rgb","dtype":"image"},{"name":"depth","sequence":{"sequence":"float32"}},{"name":"poses","sequence":"float64"},{"name":"meta","struct":[{"name":"dummy_field","dtype":"null"}]}]


hub_id: jixy2012/mock-hf-corpus-dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["database_id","table_id","table"]
features:
[{"name":"database_id","dtype":"int64"},{"name":"table_id","dtype":"string"},{"name":"table","sequence":{"sequence":"string"}}]


hub_id: jixy2012/mock-hf-queries-dataset
license: []
language: []
config_name: default
column_names: ["query_id","database_id","table_id","query","answer"]
features:
[{"name":"query_id","dtype":"int64"},{"name":"database_id","dtype":"int64"},{"name":"table_id","dtype":"string"},{"name":"query","dtype":"string"},{"name":"answer","dtype":"string"}]


hub_id: tomreichel/proofdb-training-phase-1
license: []
language: []
config_name: default
column_names: ["key","value","label"]
features:
[{"name":"key","dtype":"string"},{"name":"value","dtype":"string"},{"name":"label","dtype":"int64"}]


hub_id: tomreichel/proofdb-training-phase-2
license: []
language: []
config_name: default
column_names: ["anchors","positives","negatives"]
features:
[{"name":"anchors","dtype":"string"},{"name":"positives","dtype":"string"},{"name":"negatives","dtype":"string"}]


hub_id: massimilianowosz/japanese_food
license: []
language: []
config_name: default
column_names: ["source","page","prompt","chosen","rejected"]
features:
[{"name":"source","dtype":"string"},{"name":"page","dtype":"int64"},{"name":"prompt","dtype":"string"},{"name":"chosen","dtype":"string"},{"name":"rejected","dtype":"string"}]


hub_id: joshcarp/evy-dataset-legacy
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["id","output-evy","input-text","output-text","input-evy","input-python"]
features:
[{"name":"id","dtype":"string"},{"name":"output-evy","dtype":"string"},{"name":"input-text","dtype":"string"},{"name":"output-text","dtype":"string"},{"name":"input-evy","dtype":"string"},{"name":"input-python","dtype":"string"}]


hub_id: vwxyzjn/tldr-preference-sft-trl-style
license: []
language: []
config_name: default
column_names: ["prompt","messages","id","subreddit","title","post","summary"]
features:
[{"name":"prompt","dtype":"string"},{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"id","dtype":"string"},{"name":"subreddit","dtype":"string"},{"name":"title","dtype":"string"},{"name":"post","dtype":"string"},{"name":"summary","dtype":"string"}]


hub_id: cairocode/Speakers_CMU_EMOV_IEMO_MSP
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
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hub_id: llm-values/self_response_01_ai__Yi_34B_answers
license: []
language: []
config_name: default
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hub_id: asoria/awesome-chatgpt-prompts-embeddings
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["act","prompt","embedding"]
features:
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hub_id: xDAN-datasets/ChatQA-Training-Data
license: []
language: []
config_name: tatqa
column_names: ["messages","document","answers","shargpt_formatted"]
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hub_id: JM-Lee/response_interrogative
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
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language: []
config_name: default
column_names: ["q1","a1","q2","a2","q3","a3","q4","a4","q5","a5"]
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hub_id: Rhma/Hate
license: []
language: []
config_name: default
column_names: ["HITId","tweet","sentiment","directness","annotator_sentiment","target","group"]
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hub_id: thdangtr/instructions_result
license: []
language: []
config_name: default
column_names: ["image_urls","titles","ingredients","instructions","images"]
features:
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hub_id: andrewsiah/embed-exploration-bench
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language: []
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hub_id: Ezi/Human_gene_HGNC
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hub_id: prithviraj-maurya/legalbench-entire
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hub_id: asas-ai/mlqa_parallel_ar_eg
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hub_id: mrfakename/fleurs_filtered
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hub_id: yregelman/unprocessed-seinfeld-scripts
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hub_id: llm-values/self_response_deepseek_ai__deepseek_llm_67b_base_answers
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[{"name":"prompt ID","dtype":"int64"},{"name":"language","dtype":"string"},{"name":"topic","dtype":"string"},{"name":"labels","sequence":"string"},{"name":"original prompt","dtype":"string"},{"name":"translated prompt","dtype":"string"},{"name":"answer: deepseek-ai/deepseek-llm-67b-base - original","dtype":"string"},{"name":"answer: deepseek-ai/deepseek-llm-67b-base - translated","dtype":"string"},{"name":"pos priming phrase 0 - original","dtype":"string"},{"name":"pos priming phrase 0, answer: Yes - original","dtype":"string"},{"name":"pos priming phrase 0, answer Yes logprob - original","dtype":"float64"},{"name":"pos priming phrase 0, answer: No - original","dtype":"string"},{"name":"pos priming phrase 0, answer No logprob - original","dtype":"float64"},{"name":"pos priming phrase 1 - original","dtype":"string"},{"name":"pos priming phrase 1, answer: Yes - original","dtype":"string"},{"name":"pos priming phrase 1, answer Yes logprob - original","dtype":"float64"},{"name":"pos priming phrase 1, answer: No - original","dtype":"string"},{"name":"pos priming phrase 1, answer No logprob - original","dtype":"float64"},{"name":"pos priming phrase 2 - original","dtype":"string"},{"name":"pos priming phrase 2, answer: Yes - original","dtype":"string"},{"name":"pos priming phrase 2, answer Yes logprob - original","dtype":"float64"},{"name":"pos priming phrase 2, answer: No - original","dtype":"string"},{"name":"pos priming phrase 2, answer No logprob - original","dtype":"float64"},{"name":"neg priming phrase 0 - original","dtype":"string"},{"name":"neg priming phrase 0, answer: Yes - original","dtype":"string"},{"name":"neg priming phrase 0, answer Yes logprob - original","dtype":"float64"},{"name":"neg priming phrase 0, answer: No - original","dtype":"string"},{"name":"neg priming phrase 0, answer No logprob - original","dtype":"float64"},{"name":"neg priming phrase 1 - original","dtype":"string"},{"name":"neg priming phrase 1, answer: Yes - original","dtype":"string"},{"name":"neg priming phrase 1, answer Yes logprob - original","dtype":"float64"},{"name":"neg priming phrase 1, answer: No - original","dtype":"string"},{"name":"neg priming phrase 1, answer No logprob - original","dtype":"float64"},{"name":"neg priming phrase 2 - original","dtype":"string"},{"name":"neg priming phrase 2, answer: Yes - original","dtype":"string"},{"name":"neg priming phrase 2, answer Yes logprob - original","dtype":"float64"},{"name":"neg priming phrase 2, answer: No - original","dtype":"string"},{"name":"neg priming phrase 2, answer No logprob - original","dtype":"float64"},{"name":"pos priming phrase 0 - translated","dtype":"string"},{"name":"pos priming phrase 0, answer: Yes - translated","dtype":"string"},{"name":"pos priming phrase 0, answer Yes logprob - translated","dtype":"float64"},{"name":"pos priming phrase 0, answer: No - translated","dtype":"string"},{"name":"pos priming phrase 0, answer No logprob - translated","dtype":"float64"},{"name":"pos priming phrase 1 - translated","dtype":"string"},{"name":"pos priming phrase 1, answer: Yes - translated","dtype":"string"},{"name":"pos priming phrase 1, answer Yes logprob - translated","dtype":"float64"},{"name":"pos priming phrase 1, answer: No - translated","dtype":"string"},{"name":"pos priming phrase 1, answer No logprob - translated","dtype":"float64"},{"name":"pos priming phrase 2 - translated","dtype":"string"},{"name":"pos priming phrase 2, answer: Yes - translated","dtype":"string"},{"name":"pos priming phrase 2, answer Yes logprob - translated","dtype":"float64"},{"name":"pos priming phrase 2, answer: No - translated","dtype":"string"},{"name":"pos priming phrase 2, answer No logprob - translated","dtype":"float64"},{"name":"neg priming phrase 0 - translated","dtype":"string"},{"name":"neg priming phrase 0, answer: Yes - translated","dtype":"string"},{"name":"neg priming phrase 0, answer Yes logprob - translated","dtype":"float64"},{"name":"neg priming phrase 0, answer: No - translated","dtype":"string"},{"name":"neg priming phrase 0, answer No logprob - translated","dtype":"float64"},{"name":"neg priming phrase 1 - translated","dtype":"string"},{"name":"neg priming phrase 1, answer: Yes - translated","dtype":"string"},{"name":"neg priming phrase 1, answer Yes logprob - translated","dtype":"float64"},{"name":"neg priming phrase 1, answer: No - translated","dtype":"string"},{"name":"neg priming phrase 1, answer No logprob - translated","dtype":"float64"},{"name":"neg priming phrase 2 - translated","dtype":"string"},{"name":"neg priming phrase 2, answer: Yes - translated","dtype":"string"},{"name":"neg priming phrase 2, answer Yes logprob - translated","dtype":"float64"},{"name":"neg priming phrase 2, answer: No - translated","dtype":"string"},{"name":"neg priming phrase 2, answer No logprob - translated","dtype":"float64"}]


hub_id: rachid16/Retrival_evaluation_ndcg_1000
license: []
language: []
config_name: default
column_names: ["question","context","chunks","num_chunks","relvent_doc","ndcg"]
features:
[{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"chunks","sequence":"string"},{"name":"num_chunks","dtype":"int64"},{"name":"relvent_doc","sequence":"int64"},{"name":"ndcg","dtype":"float64"}]


hub_id: islam23/Retrival_evaluation_dataset_scores_MOD
license: []
language: []
config_name: default
column_names: ["question","context","chunks","num_chunks","relvent_doc","ndcg","mrr","hit_rate"]
features:
[{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"chunks","sequence":"string"},{"name":"num_chunks","dtype":"int64"},{"name":"relvent_doc","sequence":"int64"},{"name":"ndcg","dtype":"float64"},{"name":"mrr","dtype":"float64"},{"name":"hit_rate","dtype":"int64"}]


hub_id: RLHFlow/prompt-collection-v0.1
license: []
language: []
config_name: default
column_names: ["dataset","context","context_messages","id"]
features:
[{"name":"dataset","dtype":"string"},{"name":"context","dtype":"string"},{"name":"context_messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"id","dtype":"string"}]


hub_id: rollerhafeezh-amikom/en_nergrit_corpus
license: []
language: []
config_name: default
column_names: ["id","tokens","ner_tags"]
features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-LOC","2":"I-LOC","3":"B-DAT","4":"I-DAT","5":"B-TIM","6":"I-TIM"}}}}]


hub_id: procit001/mono_speaker_female_v1.1-tts-tags
license: []
language: []
config_name: default
column_names:
["path","age","gender","accent","speaker_id","text","utterance_pitch_mean","utterance_pitch_std","snr","c50","speaking_rate","phonemes"]

features:
[{"name":"path","dtype":"string"},{"name":"age","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"accent","dtype":"string"},{"name":"speaker_id","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"utterance_pitch_mean","dtype":"float32"},{"name":"utterance_pitch_std","dtype":"float32"},{"name":"snr","dtype":"float64"},{"name":"c50","dtype":"float64"},{"name":"speaking_rate","dtype":"float64"},{"name":"phonemes","dtype":"string"}]


hub_id: procit001/mono_speaker_female_v1.1-tts-tags_metadata
license: []
language: []
config_name: default
column_names:
["path","age","gender","accent","speaker_id","text","utterance_pitch_mean","utterance_pitch_std","snr","c50","speaking_rate","phonemes","noise","reverberation","speech_monotony"]

features:
[{"name":"path","dtype":"string"},{"name":"age","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"accent","dtype":"string"},{"name":"speaker_id","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"utterance_pitch_mean","dtype":"float32"},{"name":"utterance_pitch_std","dtype":"float32"},{"name":"snr","dtype":"float64"},{"name":"c50","dtype":"float64"},{"name":"speaking_rate","dtype":"string"},{"name":"phonemes","dtype":"string"},{"name":"noise","dtype":"string"},{"name":"reverberation","dtype":"string"},{"name":"speech_monotony","dtype":"string"}]


hub_id: koochikoo25/dstl_v3_ps_pseudo_labelled
license: ["mit"]
language: []
config_name: default
column_names: ["audio","transcription","path","condition_on_prev","whisper_transcript"]
features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"transcription","dtype":"string"},{"name":"path","dtype":"string"},{"name":"condition_on_prev","sequence":"int64"},{"name":"whisper_transcript","dtype":"string"}]


hub_id: alexandreacff/kaggle-fake-detection
license: []
language: []
config_name: default
column_names: ["file","audio","label"]
features:
[{"name":"file","dtype":"string"},{"name":"audio","struct":[{"name":"audio","sequence":"float32"},{"name":"path","dtype":"string"},{"name":"sampling_rate","dtype":"int64"}]},{"name":"label","dtype":"int64"}]


hub_id: jacquelinehe/tydiqa_gold
license: []
language: []
config_name: default
column_names: ["query","raw_query","ctxs","answer"]
features:
[{"name":"query","dtype":"string"},{"name":"raw_query","dtype":"string"},{"name":"ctxs","list":[{"name":"retrieval text","dtype":"string"}]},{"name":"answer","dtype":"string"}]


hub_id: LocalDoc/sentiments_dataset_azerbaijani
license: ["cc-by-nc-sa-4.0"]
language: ["az"]
config_name: default
column_names: ["text","labels"]
features: [{"name":"text","dtype":"string"},{"name":"labels","dtype":"string"}]
tags:
["task_categories:text-classification","language:az","license:cc-by-nc-sa-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","doi:10.57967/hf/2362","region:us","sentiment","azerbaijani","croissant"]


hub_id: tejavardhan/auto-masking
license: []
language: []
config_name: default
column_names: ["original_img","object_name","mask_img"]
features:
[{"name":"original_img","dtype":"image"},{"name":"object_name","dtype":"string"},{"name":"mask_img","dtype":"image"}]


hub_id: sujet-ai/Sujet-Finance-Vision-10k
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["doc_id","content","document_type","key_details","insights","encoded_image"]
tags:
["task_categories:image-to-text","language:en","license:apache-2.0","size_categories:1M<n<10M","parquet","image","text","datasets","dask","mlcroissant","region:us","finance","croissant"]

features:
[{"name":"doc_id","dtype":"string"},{"name":"content","dtype":"string"},{"name":"document_type","dtype":"string"},{"name":"key_details","dtype":"string"},{"name":"insights","dtype":"string"},{"name":"encoded_image","dtype":"string"}]


hub_id: amuseix/fleurs_full_text
license: []
language: []
config_name: edited
column_names:
["id","num_samples","path","audio","transcription","raw_transcription","gender","lang_id","language","lang_group_id"]

features:
[{"name":"id","dtype":"int32"},{"name":"num_samples","dtype":"int32"},{"name":"path","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"transcription","dtype":"string"},{"name":"raw_transcription","dtype":"string"},{"name":"gender","dtype":{"class_label":{"names":{"0":"male","1":"female","2":"other"}}}},{"name":"lang_id","dtype":{"class_label":{"names":{"0":"af_za","1":"am_et","2":"ar_eg","3":"as_in","4":"ast_es","5":"az_az","6":"be_by","7":"bg_bg","8":"bn_in","9":"bs_ba","10":"ca_es","11":"ceb_ph","12":"ckb_iq","13":"cmn_hans_cn","14":"cs_cz","15":"cy_gb","16":"da_dk","17":"de_de","18":"el_gr","19":"en_us","20":"es_419","21":"et_ee","22":"fa_ir","23":"ff_sn","24":"fi_fi","25":"fil_ph","26":"fr_fr","27":"ga_ie","28":"gl_es","29":"gu_in","30":"ha_ng","31":"he_il","32":"hi_in","33":"hr_hr","34":"hu_hu","35":"hy_am","36":"id_id","37":"ig_ng","38":"is_is","39":"it_it","40":"ja_jp","41":"jv_id","42":"ka_ge","43":"kam_ke","44":"kea_cv","45":"kk_kz","46":"km_kh","47":"kn_in","48":"ko_kr","49":"ky_kg","50":"lb_lu","51":"lg_ug","52":"ln_cd","53":"lo_la","54":"lt_lt","55":"luo_ke","56":"lv_lv","57":"mi_nz","58":"mk_mk","59":"ml_in","60":"mn_mn","61":"mr_in","62":"ms_my","63":"mt_mt","64":"my_mm","65":"nb_no","66":"ne_np","67":"nl_nl","68":"nso_za","69":"ny_mw","70":"oc_fr","71":"om_et","72":"or_in","73":"pa_in","74":"pl_pl","75":"ps_af","76":"pt_br","77":"ro_ro","78":"ru_ru","79":"sd_in","80":"sk_sk","81":"sl_si","82":"sn_zw","83":"so_so","84":"sr_rs","85":"sv_se","86":"sw_ke","87":"ta_in","88":"te_in","89":"tg_tj","90":"th_th","91":"tr_tr","92":"uk_ua","93":"umb_ao","94":"ur_pk","95":"uz_uz","96":"vi_vn","97":"wo_sn","98":"xh_za","99":"yo_ng","100":"yue_hant_hk","101":"zu_za","102":"all"}}}},{"name":"language","dtype":"string"},{"name":"lang_group_id","dtype":{"class_label":{"names":{"0":"western_european_we","1":"eastern_european_ee","2":"central_asia_middle_north_african_cmn","3":"sub_saharan_african_ssa","4":"south_asian_sa","5":"south_east_asian_sea","6":"chinese_japanase_korean_cjk"}}}}]


hub_id: PrasadAmale1/clipfinedataset
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["image","mask","entity"]
features:
[{"name":"image","dtype":"image"},{"name":"mask","dtype":"image"},{"name":"entity","dtype":"string"}]


hub_id: Milana/resampled_16KHrz_vctk_speakers_split
license: []
language: []
config_name: default
column_names:
["speaker_id","audio","file","text","text_id","age","gender","accent","region","comment","country","resampled_audio"]

features:
[{"name":"speaker_id","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":48000}}},{"name":"file","dtype":"string"},{"name":"text","dtype":"string"},{"name":"text_id","dtype":"string"},{"name":"age","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"accent","dtype":"string"},{"name":"region","dtype":"string"},{"name":"comment","dtype":"string"},{"name":"country","dtype":"string"},{"name":"resampled_audio","sequence":{"sequence":"float64"}}]


hub_id: amilmshaji/onepane-llm-evaluation
license: []
language: []
config_name: default
column_names:
["id","question","context","response","model_name","latency","pricing","input_token_lenght","output_token_length"]

features:
[{"name":"id","dtype":"int64"},{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"response","dtype":"string"},{"name":"model_name","dtype":"string"},{"name":"latency","dtype":"float64"},{"name":"pricing","dtype":"float64"},{"name":"input_token_lenght","dtype":"int64"},{"name":"output_token_length","dtype":"int64"}]


hub_id: persistent/text2cypher-sft-0.1k
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["schema","question","response"]
features:
[{"name":"schema","dtype":"string"},{"name":"question","dtype":"string"},{"name":"response","dtype":"string"}]


hub_id: ytcheng/sm_kf
license: []
language: []
config_name: default
column_names: ["messages","resolve","output","replaced"]
features:
[{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"resolve","dtype":"bool"},{"name":"output","dtype":"string"},{"name":"replaced","dtype":"string"}]


hub_id: vinczematyas/stranger_sections_2
license: []
language: []
config_name: default
column_names: ["image","segmentation","file_name"]
features:
[{"name":"image","dtype":"image"},{"name":"segmentation","dtype":"image"},{"name":"file_name","dtype":"string"}]


hub_id: vipinkatara/Translation_data
license: []
language: []
config_name: default
column_names:
["gem_id","gem_parent_id","source_language","target_language","source","target","references","__index_level_0__"]

features:
[{"name":"gem_id","dtype":"string"},{"name":"gem_parent_id","dtype":"string"},{"name":"source_language","dtype":"string"},{"name":"target_language","dtype":"string"},{"name":"source","dtype":"string"},{"name":"target","dtype":"string"},{"name":"references","sequence":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: vipinkatara/Translation_alpaca
license: []
language: []
config_name: default
column_names: ["instruction","source_language","target_language"]
features:
[{"name":"instruction","dtype":"string"},{"name":"source_language","dtype":"string"},{"name":"target_language","dtype":"string"}]


hub_id: pL-Community/FinGerWeb
license: []
language: ["de"]
config_name: default
column_names: ["text","source"]
features: [{"name":"text","dtype":"string"},{"name":"source","dtype":"string"}]
tags:
["task_categories:text-generation","language:de","size_categories:100M<n<1B","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: dpdl-benchmark/clevr
license: []
language: []
config_name: default
column_names: ["image","objects","question_answer","label_count","label_distance"]
features:
[{"name":"image","dtype":"image"},{"name":"objects","sequence":[{"name":"color","dtype":"int64"},{"name":"material","dtype":"int64"},{"name":"shape","dtype":"int64"},{"name":"size","dtype":"int64"},{"name":"rotation","dtype":"float32"},{"name":"3d_coords","sequence":"float32"},{"name":"pixel_coords","sequence":"float32"}]},{"name":"question_answer","sequence":[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"}]},{"name":"label_count","dtype":"int64"},{"name":"label_distance","dtype":"int64"}]


hub_id: MedMLLM-attack/3MAD-Tiny-1K
license: []
language: ["en"]
config_name: default
tags:
["task_categories:image-feature-extraction","task_categories:question-answering","language:en","region:us","medical"]

column_names:
["id","file_name","original_attribute","unmatch_attribute","normal_prompt","harmful_prompt","policy","key_phrases","__index_level_0__","image"]

features:
[{"name":"id","dtype":"int64"},{"name":"file_name","dtype":"string"},{"name":"original_attribute","dtype":"string"},{"name":"unmatch_attribute","dtype":"string"},{"name":"normal_prompt","dtype":"string"},{"name":"harmful_prompt","dtype":"string"},{"name":"policy","dtype":"string"},{"name":"key_phrases","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"},{"name":"image","dtype":"image"}]


hub_id: ejdis/bert_pretrain_datasets
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["language:en","license:apache-2.0","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: argilla/mmlu-eval-argilla
license: []
language: []
config_name: default
tags:
["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","rlfh","argilla","human-feedback","croissant"]

column_names:
["fields","metadata","num_responses","user-ids","required-knowledge","reference","time_sensitive","culture","region","country","free-feedback"]

features:
[{"name":"fields","struct":[{"name":"choices","dtype":"string"},{"name":"id","dtype":"string"},{"name":"question","dtype":"string"}]},{"name":"metadata","struct":[{"name":"subject","dtype":"string"}]},{"name":"num_responses","dtype":"int64"},{"name":"user-ids","sequence":"string"},{"name":"required-knowledge","sequence":{"sequence":"string"}},{"name":"reference","list":{"list":[{"name":"end","dtype":"int64"},{"name":"label","dtype":"string"},{"name":"score","dtype":"null"},{"name":"start","dtype":"int64"}]}},{"name":"time_sensitive","sequence":"string"},{"name":"culture","sequence":{"sequence":"string"}},{"name":"region","sequence":{"sequence":"string"}},{"name":"country","sequence":{"sequence":"string"}},{"name":"free-feedback","sequence":"null"}]


hub_id: BUAADreamer/llava-med-zh-eval
license: ["apache-2.0"]
language: ["zh"]
config_name: default
column_names: ["question","answer","context","images"]
tags:
["task_categories:visual-question-answering","language:zh","license:apache-2.0","size_categories:n<1K","parquet","image","text","datasets","pandas","mlcroissant","region:us","medical","llama-factory","croissant"]

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


hub_id: Rhma/tweet
license: []
language: []
config_name: default
column_names: ["tweet"]
features:
[{"name":"tweet","struct":[{"name":"HITId","dtype":"int64"},{"name":"annotator_sentiment","dtype":"string"},{"name":"directness","dtype":"string"},{"name":"group","dtype":"string"},{"name":"sentiment","dtype":"string"},{"name":"target","dtype":"string"},{"name":"tweet","dtype":"string"}]}]


hub_id: npvinHnivqn/abstractiveqa-healthcare-vietnamese
license: []
language: []
config_name: default
column_names:
["question","answer","title","content_idx","article_url","section_idx","subsection_idx","keyword","document_idx","author","author_url","context","generated_qa_pairs","status","generated_question","generated_answer"]

features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"title","dtype":"string"},{"name":"content_idx","dtype":"int64"},{"name":"article_url","dtype":"string"},{"name":"section_idx","dtype":"int64"},{"name":"subsection_idx","dtype":"int64"},{"name":"keyword","dtype":"string"},{"name":"document_idx","dtype":"int64"},{"name":"author","dtype":"string"},{"name":"author_url","dtype":"string"},{"name":"context","dtype":"string"},{"name":"generated_qa_pairs","list":[{"name":"answer","dtype":"string"},{"name":"question","dtype":"string"}]},{"name":"status","sequence":"int64"},{"name":"generated_question","dtype":"string"},{"name":"generated_answer","dtype":"string"}]


hub_id: ariel-ml/hun-sum-chatml-5k
license: []
language: ["hu"]
config_name: default
column_names: ["uuid","title","lead","article","domain","url","date_of_creation","tags","text"]
tags:
["language:hu","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"uuid","dtype":"string"},{"name":"title","dtype":"string"},{"name":"lead","dtype":"string"},{"name":"article","dtype":"string"},{"name":"domain","dtype":"string"},{"name":"url","dtype":"string"},{"name":"date_of_creation","dtype":"timestamp[ns]"},{"name":"tags","sequence":"string"},{"name":"text","dtype":"string"}]


hub_id: Cafet/Tiny_Processed
license: []
language: []
config_name: default
column_names: ["audio","transcription","reference","prediction","prediction1"]
features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"transcription","dtype":"string"},{"name":"reference","dtype":"string"},{"name":"prediction","dtype":"string"},{"name":"prediction1","dtype":"string"}]


hub_id: dpdl-benchmark/kitti
license: []
language: []
config_name: default
column_names: ["image","image/file_name","objects","label_distance"]
features:
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hub_id: lhoestq/test-cmcv
license: []
language: ["en"]
config_name: default
tags:
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hub_id: QHQK/object_existing_hall_binary_v0
license: []
language: []
config_name: default
column_names: ["question_id","question","answer","image_source","image","category"]
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hub_id: whalesnik/dataset
license: []
language: []
config_name: default
column_names: ["Context","Response","index"]
features:
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hub_id: dpdl-benchmark/fgvc_aircraft
license: []
language: []
config_name: default
column_names: ["image","bbox","family","manufacturer","variant"]
features:
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hub_id: orpo-explorers/Capybara-Preferences-KTO
license: []
language: []
config_name: default
column_names: ["source","prompt","completion","label"]
features:
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hub_id: ToxicityPrompts/PolygloToxicityPrompts
license: []
language: ["en","nl","pl","sv","ru","hi","ja","ko","zh","es","fr","it","id","ar","cs","de","pt"]
config_name: wildchat-zh
column_names: ["prompt","prompt_perspective","toxicity_bucket","meta_data","prompt_toxicity"]
tags:
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features:
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hub_id: dpdl-benchmark/gtsrb
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
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hub_id: MLP-Lemma/SFT-datasets
license: []
language: []
config_name: xsum
column_names: ["context","output","instruction"]
features:
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hub_id: maximegmd/glianorex
license: ["mit"]
language: ["en","fr"]
config_name: default
column_names: ["question","options","answer_idx","language"]
tags:
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features:
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hub_id: howzit/subscription-management
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["messages"]
features:
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hub_id: TIGER-Lab/MMLU-Pro
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["question_id","question","options","answer","answer_index","cot_content","category","src"]
tags:
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features:
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hub_id: rasyosef/amharic-news-category-classification
license: ["cc-by-4.0"]
language: ["am"]
config_name: default
column_names: ["headline","category","date","views","article","link","word_len","label"]
tags:
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features:
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hub_id: Playto/filimo-speech
license: []
language: []
config_name: default
column_names: ["uid","path","start","end","text","audio"]
features:
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hub_id: dvilasuero/None-parsed
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["fields","metadata","num_responses","user_ids","required-knowledge","reference","time_sensitive","culture","region","country","free-feedback"]

features:
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hub_id: mos4ic/mosaic-scores
license: ["mit"]
language: []
config_name: default
tags:
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column_names:
["timestamp","validator_uid","miner_uid","origin_score","duration_seconds","normalized_score","weighted_score"]

features:
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hub_id: sreramr/store
license: ["llama3"]
language: []
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
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hub_id: Atipico1/mrqa_v2_unans_1k
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: johnatanebonilla/parse_AnCora
license: []
language: []
config_name: default
column_names: ["instruct","input","output","text_general","text_llama"]
features:
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hub_id: asas-ai/AraFacts
license: ["cc-by-nc-4.0"]
language: ["ar"]
config_name: default
tags:
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column_names:
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features:
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hub_id: rexlotk/hse_6_classes
license: []
language: []
config_name: default
column_names: ["Unnamed: 0","text1","res","res_names"]
features:
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hub_id: saisamarth/cheque_data_v2
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["messages","images"]
features:
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hub_id: npvinHnivqn/abstractiveqa_healthcare_vietnamese_train
license: []
language: []
config_name: default
column_names:
["question","answer","title","content_idx","article_url","section_idx","subsection_idx","keyword","document_idx","author","author_url","context","generated_qa_pairs","status","generated_question","generated_answer","generated_text","inputs_embeds","input_ids","attention_mask","query_ids","query_attention_mask"]

features:
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hub_id: aleksawtf/comics_dataset_512
license: []
language: []
config_name: default
column_names: ["target_image","condition_image","prompt"]
features:
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hub_id: CohereForAI/MMLU-evaluation-results
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["fields","metadata","num_responses","user_ids","required-knowledge","time_sensitive","reference","culture","region","country","free-feedback"]

features:
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hub_id: asas-ai/ANS_Corpus
license: ["apache-2.0"]
language: ["ar"]
config_name: stance
column_names: ["s1","s2","stance"]
features: [{"name":"s1","dtype":"string"},{"name":"s2","dtype":"string"},{"name":"stance","dtype":"string"}]
tags:
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hub_id: saisamarth/cheque_data_v3
license: []
language: []
config_name: default
column_names: ["messages","images"]
features:
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hub_id: Textra/Textra_Data
license: []
language: []
config_name: default
column_names: ["id","image","bboxes","ner_tags","tokens"]
features:
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hub_id: asas-ai/Moroccan_Darija_Offensive_Language_Detection_Dataset
license: ["cc-by-4.0"]
language: ["ar"]
config_name: default
column_names: ["text","label"]
features: [{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"}]
tags:
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hub_id: damerajee/WildChat-Eng-Sharegpt
license: []
language: []
config_name: default
features:
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hub_id: asas-ai/Arabic_Offensive_Comment_Detection
license: ["apache-2.0"]
language: ["ar"]
config_name: default
tags:
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column_names:
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features:
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hub_id: Milkyway-islander/AI_Human_generated_movie_reviews
license: []
language: ["en"]
config_name: default
column_names: ["text","labels","models","__index_level_0__"]
tags:
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features:
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hub_id: HuggingFaceTB/bisac_middle_school_and_college_prompts_3M_6M
license: []
language: []
config_name: default
column_names:
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features:
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hub_id: Weni/wenigpt-agent-orpo-1.0.0
license: []
language: ["pt"]
config_name: default
tags:
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column_names:
["id","external_id","name","occupation","adjective","chatbot_goal","instructions","content","chunks_small","chunks_big","data_category","question","chosen_response","rejected_response"]

features:
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hub_id: Intellua/meetspeech-full
license: []
language: []
config_name: default
column_names: ["raw_transcription","transcription","audio","file_path","type","__index_level_0__"]
features:
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hub_id: Weni/wenigpt-agent-orpo-preparation
license: []
language: ["pt"]
config_name: default
column_names:
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features:
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hub_id: spanish-ir/google_qrels
license: []
language: []
config_name: ve
column_names:
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features:
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hub_id: asas-ai/DarNERcorp
license: ["cc-by-4.0"]
language: ["ar"]
config_name: default
column_names: ["Token","Tag"]
features: [{"name":"Token","dtype":"string"},{"name":"Tag","dtype":"string"}]
tags:
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hub_id: lleticiasilvaa/test-CNPJ-EN-selecionado-comSchemas
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["id","question","possible_query","complexity","answer","schema_compSemEx","schema_compComEx","schema_compComExInfoChaves","schema_redComEx","schema_redComExInfoChaves"]

features:
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hub_id: usableteapot/agg-l3
license: []
language: []
config_name: default
column_names: ["source","model","conversation","tokens","token_count"]
features:
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hub_id: antolin/csn-interduplication
license: []
language: []
config_name: default
column_names: ["id_within_dataset","snippet","tokens","language","nl","is_duplicated"]
features:
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hub_id: friendshipkim/p3_comb8_max10000
license: []
language: []
config_name: default
column_names: ["desc","input","desc_in","output"]
features:
[{"name":"desc","dtype":"string"},{"name":"input","dtype":"string"},{"name":"desc_in","dtype":"string"},{"name":"output","dtype":"string"}]


hub_id: friendshipkim/p3_comb10_maxNone
license: []
language: []
config_name: default
column_names: ["desc","input","desc_in","output","ds_name"]
features:
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hub_id: asas-ai/ANERCorp
license: ["cc-by-sa-4.0"]
language: ["ar"]
config_name: default
column_names: ["word","tag"]
features: [{"name":"word","dtype":"string"},{"name":"tag","dtype":"string"}]
tags:
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hub_id: vc64/389_rag_eval
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["questions","answers","human"]
features:
[{"name":"questions","dtype":"string"},{"name":"answers","dtype":"string"},{"name":"human","dtype":"bool"}]


hub_id: usableteapot/all
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["model","conversation","source","tokens","token_count","model_category"]
features:
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hub_id: AarushSah/lmsys-chat-1m
license: []
language: []
config_name: default
column_names: ["conversation_id","model","conversation","turn","language","openai_moderation","redacted"]
tags:
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hub_id: animaRegem/IndicXParaphrase-formatted
license: []
language: []
config_name: default
column_names: ["english","sentence1","sentence2","label","text"]
features:
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hub_id: animaRegem/IndicParaphrase-formatted
license: []
language: []
config_name: default
column_names: ["id","pivot","input","target","references","text"]
features:
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hub_id: hcfa/ncb
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["correct","wrong","category"]
features:
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hub_id: animaRegem/IndicQuestionGeneration-formatted
license: []
language: ["ml"]
config_name: default
column_names: ["id","squad_id","answer","context","question","text"]
tags:
["language:ml","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
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hub_id: maneln/tokenized-dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Question","Context","Answer","__index_level_0__","input_ids","attention_mask","labels"]
features:
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hub_id: animaRegem/IndicHeadlineGeneration-formatted
license: []
language: []
config_name: default
column_names: ["id","input","target","url","text"]
features:
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hub_id: danjacobellis/imagenet_slic
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["latent","label"]
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hub_id: Inishds/function_calling_train
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hub_id: HuggingFaceTB/bisac_grade_school_juvenile_prompts_grade_school_students
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hub_id: rexlotk/hse_6_classes_mini
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hub_id: asoria/pokemon_info
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hub_id: shangzhu/ChemQA
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hub_id: asas-ai/CAraNER
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hub_id: asas-ai/WikiFANE
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hub_id: SeyedAli/Image-Valence-Arousal-continous-class
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hub_id: bench-llm/or-bench
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hub_id: NickyNicky/financial_phrasebank_traslate_En_Es
license: ["apache-2.0"]
language: ["en","es"]
config_name: default
column_names: ["sentence_en","sentence_es","label"]
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hub_id: xieyuankun/Codecfake
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hub_id: heegyu/UltraInteract_pair_subtree
license: []
language: []
config_name: default
column_names: ["parent","child"]
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hub_id: Cafet/Tiny_Train_Processed
license: []
language: []
config_name: default
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hub_id: nirantk/scifact-bge-m3-sparse-vectors
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["_id","title","text","bge_m3_sparse_vector"]
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hub_id: llm-values/self_response_2_Qwen__Qwen1.5_110B_answers
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hub_id: bunkalab/arxiv_datasets_llm
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hub_id: wisenut-nlp-team/dst_dataset
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features:
[{"name":"left_inputs","dtype":"string"},{"name":"right_inputs","dtype":"string"},{"name":"length_labels","dtype":"int64"},{"name":"task_labels","dtype":"int64"},{"name":"multiturn_labels","dtype":"int64"},{"name":"multiquestion_labels","sequence":"int64"}]


hub_id: HuggingFaceTB/bisac_middle_school_and_college_prompts_0_3M_light
tags: ["region:us"]
license: []
language: []
config_name: default
column_names:
["top_category","subcategory","subtopic","num_hits","prompt_middle_school_students","prompt_college_students"]

features:
[{"name":"top_category","dtype":"string"},{"name":"subcategory","dtype":"string"},{"name":"subtopic","dtype":"string"},{"name":"num_hits","dtype":"int64"},{"name":"prompt_middle_school_students","dtype":"string"},{"name":"prompt_college_students","dtype":"string"}]


hub_id: mhr2004/wikineg-train-nsp-500000-roberta-large-tokenized
license: []
language: []
config_name: default
column_names: ["text","label","label2","input_ids","attention_mask"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"label2","dtype":"int64"},{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"}]


hub_id: malaysia-ai/crawl-google-image-malaysian-vehicle
license: []
language: []
config_name: default
column_names: ["alt_text","parent_href","filename","image","keyword"]
features:
[{"name":"alt_text","dtype":"string"},{"name":"parent_href","dtype":"string"},{"name":"filename","dtype":"string"},{"name":"image","dtype":"image"},{"name":"keyword","dtype":"string"}]


hub_id: talalmuzaffar/empathetic_dataset
license: []
language: []
config_name: default
column_names: ["prompt","utterance","__index_level_0__"]
features:
[{"name":"prompt","dtype":"string"},{"name":"utterance","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: talalmuzaffar/empathetic_dataset_1
license: []
language: []
config_name: default
column_names: ["Input","Outputs","__index_level_0__"]
features:
[{"name":"Input","dtype":"string"},{"name":"Outputs","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: talalmuzaffar/empathetic_dataset_2
license: []
language: []
config_name: default
column_names: ["Input","Response","__index_level_0__"]
features:
[{"name":"Input","dtype":"string"},{"name":"Response","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: liswei/PromptPair-TW
license: ["cc-by-nc-sa-4.0"]
language: ["zh"]
config_name: default
column_names: ["id","conversations","meta"]
tags:
["task_categories:text-generation","task_categories:translation","task_categories:summarization","language:zh","license:cc-by-nc-sa-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"int64"},{"name":"conversations","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"meta","dtype":"string"}]


hub_id: talalmuzaffar/empathetic_dataset_with_context
license: []
language: []
config_name: default
column_names: ["Context","Input","Response","__index_level_0__"]
features:
[{"name":"Context","dtype":"string"},{"name":"Input","dtype":"string"},{"name":"Response","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: Seungyoun/ultrafeedback_llama3_self_ask
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["system","instruction","response","questions"]
features:
[{"name":"system","dtype":"string"},{"name":"instruction","dtype":"string"},{"name":"response","dtype":"string"},{"name":"questions","sequence":"string"}]


hub_id: Dobby091/koko
license: []
language: []
config_name: default
column_names: ["pdf_filename","context","question","answer"]
features:
[{"name":"pdf_filename","dtype":"string"},{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"}]


hub_id: JINIAC/kuci
license: ["cc-by-sa-4.0"]
language: []
config_name: default
tags:
["license:cc-by-sa-4.0","size_categories:10K<n<100K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["id","context","choice_a","choice_b","choice_c","choice_d","label","agreement","core_event_pair","conversations"]

features:
[{"name":"id","dtype":"int64"},{"name":"context","dtype":"string"},{"name":"choice_a","dtype":"string"},{"name":"choice_b","dtype":"string"},{"name":"choice_c","dtype":"string"},{"name":"choice_d","dtype":"string"},{"name":"label","dtype":"string"},{"name":"agreement","dtype":"int64"},{"name":"core_event_pair","dtype":"string"},{"name":"conversations","list":[{"name":"from","dtype":"string"},{"name":"value","dtype":"string"}]}]


hub_id: procit001/dutchfacebookfemale_v2
license: []
language: []
config_name: default
column_names: ["audio_id","audio","normalized_text","text"]
features:
[{"name":"audio_id","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"normalized_text","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: SinclairSchneider/openlegaldata
license: []
language: ["de"]
config_name: default
tags:
["language:de","size_categories:100K<n<1M","parquet","tabular","text","datasets","dask","mlcroissant","region:us","legal","law","Urteile","Jura","croissant"]

column_names:
["id","slug","court_id","court_name","court_slug","court_city","court_state","court_jurisdiction","court_level_of_appeal","file_number","date","created_date","updated_date","type","ecli","content"]

features:
[{"name":"id","dtype":"int64"},{"name":"slug","dtype":"string"},{"name":"court_id","dtype":"int64"},{"name":"court_name","dtype":"string"},{"name":"court_slug","dtype":"string"},{"name":"court_city","dtype":"string"},{"name":"court_state","dtype":"string"},{"name":"court_jurisdiction","dtype":"string"},{"name":"court_level_of_appeal","dtype":"string"},{"name":"file_number","dtype":"string"},{"name":"date","dtype":"string"},{"name":"created_date","dtype":"string"},{"name":"updated_date","dtype":"string"},{"name":"type","dtype":"string"},{"name":"ecli","dtype":"string"},{"name":"content","dtype":"string"}]


hub_id: IVN-RIN/BioBERT_Italian
license: ["cc-by-sa-4.0"]
language: ["it"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["task_categories:text-generation","language:it","license:cc-by-sa-4.0","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","region:us","medical","biology","croissant"]


hub_id: 37channel/news-qa-dataset-made-by-llm-a-OLD20240513
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["url_q","title","date","url","content","step","gen-llm","sft","Q","A"]
features:
[{"name":"url_q","dtype":"float64"},{"name":"title","dtype":"string"},{"name":"date","dtype":"string"},{"name":"url","dtype":"string"},{"name":"content","dtype":"string"},{"name":"step","dtype":"string"},{"name":"gen-llm","dtype":"string"},{"name":"sft","dtype":"null"},{"name":"Q","dtype":"string"},{"name":"A","dtype":"string"}]


hub_id: ndiy/ASAP_ASPECT
license: []
language: []
config_name: default
column_names: ["text","cate","label_ori","label_cate","label"]
features:
[{"name":"text","dtype":"string"},{"name":"cate","dtype":"string"},{"name":"label_ori","dtype":"int64"},{"name":"label_cate","dtype":"string"},{"name":"label","dtype":"int32"}]


hub_id: DevQuasar/brainstorm_vicuna_10k
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["id","conversations"]
tags:
["license:apache-2.0","size_categories:10K<n<100K","json","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: when2rl/tldr-summarisation-preferences_reformatted
license: []
language: []
config_name: default
column_names: ["prompt","prompt_id","chosen","rejected","messages","score_chosen","score_rejected","other_info"]
features:
[{"name":"prompt","dtype":"string"},{"name":"prompt_id","dtype":"string"},{"name":"chosen","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"rejected","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"messages","list":[{"name":"content","dtype":"string"},{"name":"role","dtype":"string"}]},{"name":"score_chosen","dtype":"float64"},{"name":"score_rejected","dtype":"float64"},{"name":"other_info","struct":[{"name":"chosen_note","dtype":"string"},{"name":"id","dtype":"string"},{"name":"post","dtype":"string"},{"name":"rejected_note","dtype":"string"},{"name":"source","dtype":"string"},{"name":"subreddit","dtype":"string"},{"name":"worker","dtype":"string"}]}]


hub_id: neuralshift/sigarra
license: ["cc-by-sa-4.0"]
language: ["pt"]
config_name: default
column_names: ["id","tokens","ner_tags"]
tags:
["language:pt","license:cc-by-sa-4.0","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":"string"}]


hub_id: BEE-spoke-data/napierone-epub-raw
license: ["odc-by"]
language: ["en","es","fi","fr","pt","nl","de","sv","it"]
config_name: english
column_names: ["filename","text","lang"]
tags:
["task_categories:text-generation","task_categories:feature-extraction","language:en","language:es","language:fi","language:fr","language:pt","language:nl","language:de","language:sv","language:it","license:odc-by","size_categories:10K<n<100K","parquet","text","datasets","dask","mlcroissant","region:us","gutenberg","epub","marker","croissant"]

features:
[{"name":"filename","dtype":"string"},{"name":"text","dtype":"string"},{"name":"lang","dtype":"string"}]


hub_id: peakji/peak-intent-50
license: []
language: []
config_name: zh-hant
column_names: ["id","query","query_type","query_language","intent","intent_type"]
features:
[{"name":"id","dtype":"int32"},{"name":"query","dtype":"string"},{"name":"query_type","dtype":"string"},{"name":"query_language","dtype":"string"},{"name":"intent","dtype":"string"},{"name":"intent_type","dtype":"string"}]


hub_id: gulnuravci/reddit_sentiment_analysis_results
license: ["mit"]
language: []
config_name: default
column_names:
["Datetime","Num subreddits with subsidiary/parent company name in its name or description","Num subreddits after using keywords filter","Num old subreddits that were automatically included","Num subreddits that ran through the model","Total subreddits that are technology related (including old and new subreddits)","Num subreddits that were included per parent company","Failed subreddits while extracting posts","Num of comments extracted for each parent company","Num of interactions for each parent company","Num of neutral sentiments for each parent company","Num of positive sentiments for each parent company","Num of negative sentiments for each parent company","Average sentiment for each parent company","Num of posts extracted for each parent company"]

features:
[{"name":"Datetime","dtype":"string"},{"name":"Num subreddits with subsidiary/parent company name in its name or description","dtype":"int64"},{"name":"Num subreddits after using keywords filter","dtype":"int64"},{"name":"Num old subreddits that were automatically included","dtype":"int64"},{"name":"Num subreddits that ran through the model","dtype":"int64"},{"name":"Total subreddits that are technology related (including old and new subreddits)","dtype":"int64"},{"name":"Num subreddits that were included per parent company","dtype":"string"},{"name":"Failed subreddits while extracting posts","dtype":"string"},{"name":"Num of comments extracted for each parent company","dtype":"string"},{"name":"Num of interactions for each parent company","dtype":"string"},{"name":"Num of neutral sentiments for each parent company","dtype":"string"},{"name":"Num of positive sentiments for each parent company","dtype":"string"},{"name":"Num of negative sentiments for each parent company","dtype":"string"},{"name":"Average sentiment for each parent company","dtype":"string"},{"name":"Num of posts extracted for each parent company","dtype":"string"}]


