Datasets:

undefined443
/

coco-karpathy-wds

json dict	__key__ stringlengths 9 9	__url__ stringclasses 31 values
{ "captions": [ "A tall building with a courtyard with lots of trees.", "a beautiful house with a very big clock", "The green and well kept courtyard of a large school", "THERE IS A BUILDING WITH A LOT OD WINDOWS", "The courtyard of a large light colored brick building overlooked by a clock tower....	000054000	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "There is nothing but beer bottles in the fridge.", "The small refrigerator is full of beer bottles.", "This fridge is full of various alcoholic beverages from beer to vodka.", "A fridge is well stocked with alcoholic beverages including beer.", "the fridge is filled with many diff...	000054001	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A very pretty tall clock tower near a very narrow street.", "A city street with lots of stone buildings on both sides", "A city has buildings and a building with a clock tower.", "A few different buildings in a city. ", "A large clock tower towering over a city with buildings." ...	000054002	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A bridge crosses a river to a clock tower on the other side.", "A clock tower is past a bridge over a river.", "A walkway and lake next to a tan clock tower.", "A body of water with a bridge running across it running by a clock tower.", "A clock tower sitting in front of a river."...	000054003	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "numerous signs with buildings, a clock, and tents standing near by", "A sign advertising a market incorporating a large clock.", "The roof tops of several shops in a market area with a clock.", "A sign that reads \"Public Market Center\" is lit up in red.", "A clock hangs on the f...	000054004	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "There is a finger on the level of a blender", "a person adjusting a blender speed with a picture in the blender", "A persons' hand on a blender with a picture of someone inside.", "A photograph of a person has been placed inside of a blender; a hand is turning the blender on.", "V...	000054005	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "a purple and yellow plant in a vase", "A vase with a flower of white and purple colors.", "The vase has a pretty white flower in it. ", "A dying flower is stuck to an onion. ", "This is a picture of a flower in a vase." ], "cocoid": 520229 }	000054006	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A white vase filled with pink flowers on top of a table.", "A white vase that is holding a pink and white flower.", "A white light bulb under two pink flowers.", "Close up of flower in a vase as it loses petals.", "Pink lilies arranged in a white ceramic vase." ], "cocoid": 28...	000054007	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A close-up of a jug shaped vase and flowers", "A large flower arrangement with daisies in a floral vase.", "A large flowery vase filled with white and yellow flowers.", "A rightly painted vase holds a bunch of colorful flowers. ", "Colorful ceramic jug full of colorful fresh flowe...	000054008	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "black and white image of a fireplace mantel ", "A brick fireplace in a Colonial style home.", "a black and white photo of a fire place", "A living room with a fire place and a clock on top of it", "A fireplace has a clock on the mantle." ], "cocoid": 487528 }	000054009	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A fire place with a clock above it on a mantle.", "a fireplace with a white mantel and a clock on the top of it", "A brick fireplace with a screen has a mantle with a clock on it.", "A fire place is shown with a clock and other pieces.", "A fireplace with an old clock on the mantl...	000054010	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A group of three toys laying next to a vase filled with flowers.", "an image of stuffed animals and a flower vase on table", "Two little bunnie figurines are seated next to a bear in front of a coca-cola bottle with daisies inside of it.", "There are flowers in a soda bottle and thre...	000054011	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "Two toddlers are playing with a hair driver. ", "A couple of little girls standing next to each other.", "Two little girls who have a hair dryer.", "Two young children standing in a room while one plays with a hair dryer. ", "Two little girls are playing with a hair dryer in a lib...	000054012	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A man covers the ears of a girl in his lap, while another girl blow dries the first girl's hair. ", "A father brushing his daughters hair as another girl holds a blow dryer.", "The man hold the baby girl as another girl uses a hairdryer on her.", "A man sitting on couch with two littl...	000054013	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A YOUNG GIRL IS HAVING FUN BLOWING A HAIRDRYER ON HER FACE", "a man that is sitting down laughing at a girl", "a girl holding a hair dryer next to a clock and a shelf of books", "A small girl laughing while holding a hair dryer", "a male and two children some books a chair and a c...	000054014	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A white plate topped with fruit next to a glass of OJ.", "A plate of banana, watermelon, and strawberry slices", "The fruit salad is on the table ready to be eaten. ", "A bowl of cut strawberries, bananas and watermelon.", "A plate full of bananas, watermelon, and strawberries. " ...	000054015	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A couple of people standing in front of a clock.", "A couple posing for a picture near a staircase on a boat.", "A man and a woman standing underneath a large clock.", "Two people posing for a photograph in front of a clock.", "a man and a woman pose in front of a clock " ], "...	000054016	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A man and a woman are standing in front of a clock.", "A man and woman in black and white dress clothes between stairs.", "An older couple standing under a large white clock.", "A man and a women who are posing for a picture in front of a clock.", "A couple posing for a picture in...	000054017	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A woman holding a large stuffed teddy bear.", "A woman is listenenig to music while cuddling her stuffed animals.", "A woman wearing large headphones sitting with stuffed toys", "A woman listening to headphones holding a bear.", "A woman wearing headphones while hugging a large te...	000054018	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "There are two pictures of a stuffed bear wearing a sweater.", "a close up of a stuffed animal wearing a sweater", "A brown teddy bear sitting on top of a couch.", "a teddy bear with no ears wearing a sweater ", "A teddy bear that is wearing a sweater. " ], "cocoid": 527660 }	000054019	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A large white building with a massive clock tower above it.", "A black and white photograph of a building with a clock tower.", "a black and white photo of a building with a clock on top", "a night time image that is lit up", "A church lit up at night by lights." ], "cocoid": ...	000054020	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A disabled clock with a Christmas tree next to it", "A wooden clock mounted to the side of a wall near a Christmas tree.", "a large wooden clock with roman numerals on it", "A wall with an old clock with rust on it.", "An antique clock hanging on a cluttered wall. " ], "cocoid...	000054021	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A brown stuffed teddy bear sitting next to a wooden frame.", "A small teddy bear sitting on a bed.", "A teddy bear sits in front of the picture", "there is a stuffed bear in front of a picture", "a studded bear is sitting against a frame" ], "cocoid": 302432 }	000054022	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A diner in a restaurant using his cell phone.", "A man sits at a restaurant table, surrounded by food and drinks and holding his cell phone. ", "A man sitting at a dinner table holding his cell phone.", "A person checks their phone during a meal.", "A man sitting on his phone whil...	000054023	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "a person in a kitchen taking a tray out of an oven", "A man picking up a tray of food.", "A person putting a tray of food into an oven.", "There is no image here to provide a caption for.", "A man in headband removing food from an oven." ], "cocoid": 31084 }	000054024	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "people in a restaraunt eating and wine glasses besides it", "A few friends are gathering for dinner in a restaurant.", "people standing around a table filled with some plates of food ", "A group of people eating a candlelit dinner at a restaurant. ", "People sitting down to a dinn...	000054025	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A large clock tower is being reflected in a window. ", "A clock tower is seen through the glass window. ", "A huge clock tower is seen through the window.", "The reflection of a clock tower in a window. ", "A clock tower seen through the shades of a window blind." ], "cocoid":...	000054026	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A very tall clock tower with a giant clock mounted to it's side.", "a tower with a clock attached to the side of it ", "A clock tower standing near another tall building.", "A building with a clock on it which says 9:32.", "A tower with a clock behind a street light." ], "coco...	000054027	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "At the end of the shady, stone-fence surrounded path sits a brick clock tower on on a stone pedestal; beyond that, mountains loom in the distance beneath an impending stormy sky. ", "A large clock tower at the end of a small dirt road.", "A clock tower at the end of a road\n", "A phot...	000054028	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A gold clock with gears and wheels near it", "some kind of mechanical clock that his hanging on a wall", "A clock is next to a group of gears.", "a gold clock with some gears around it", "A view of a clock with a faint view of a person holding a camera in a reflection. " ], "c...	000054029	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "The statue is standing beside the large clock on the roof of a building. ", "Statue in front of a large clock on top of the building. ", "A statue of a man stands next to a large clock.", "A statue on a balcony stands beside a clock.", "Statue of a man at the top of a building nea...	000054030	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A wood vase holding tiny flowers with a cup of milk on a tray.", "A center table tray with a vase with a purple flower.", "A small plate holds a cup and a small vase.", "A bowl that has flower inside of a wooden vase on a table.", "a flower that is on some kind of bowl" ], "co...	000054031	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A set of three vases filled with flowers.", "Three vases filled with flowers and water sitting in front of a window.", "three clear glass vases with different flowers in each one", "Three small vases with flowers sit next to each other. ", "three glass vases one with red flowers "...	000054032	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A bouquet of flowers is in a vase on a table. ", "A vase filled with lots of flowers on top of a table.", "Flower arrangement in vase, sitting on cluttered kitchen table.", "A vase of yellow and purple flowers sitting in a kitchen.", "Purple and yellow flowers inside a blue vase o...	000054033	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A vase filled with lots of flowers sitting on a table.", "Flowers in a vase full of water next to a window.", "The clear vase of many flowers is next to a window.", "A vase of orange flowers on a marbled surface", "An item of a vase with something inside of it.\n" ], "cocoid":...	000054034	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A table with a set of 5 candles and long step red roses in a vase.", "Roses and candles lit outside by the pool", "A vase full of roses behind a metal and glass candle holder.", "Decorative candles next to a vase of roses on a table.", "A vase filled with roses next to lit candles...	000054035	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A glass coffee table with a vase of roses on top.", "a vase with pink roses sitting on a glass table", "A large vase sits on a glass table holding lots of pink roses.", "A vase of pink roses sitting on a glass table.", "A vase of pink flowers on a table." ], "cocoid": 17545 }	000054036	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A girl sitting at a table where a inverted flower, a pair of scissors and a bowl of vegetables have been placed.", "A red flower laying face down on a brown table.", "There is a flower and pair of scissors on a table.", "A young girl sitting a table with a flower turned on its bloom a...	000054037	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A woman is cutting her hair with scissors", "A woman cutting her bang with a blue scissor. ", "A woman cutting her bangs with a pair of scissors.", "A woman is cutting her bangs with a pair of blue scissors.", "A woman cutting her hair with some scissors." ], "cocoid": 490361 ...	000054038	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A person that is holding a baby in her arms.", "A woman is holding a small baby with a yellow bear on her lap.", "A young girl is holding a small baby.", "The woman is rocking the newborn baby and smiling.", "A mother is caressing her son or daughter " ], "cocoid": 449959 }	000054039	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A bowl of mini-marshmallows and a pair of scissors cutting one pink marshmallow.", "someone using scissors to cut up marshmallows ", "Marshmallows being cut into pieces over a bowl with scissors. ", "a person that is cutting up a hot og and cheese", "Someone is cutting up colored ...	000054040	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A white dog under a blanket being blow dried.", "A small white dog being dried off by two women with a hair dryer.", "After having its shampoo, the little white dog is getting his hair blown dry.", "A girl holds up a small white dog near another girl who is holding a blow dryer.", ...	000054041	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A couple of women kneeling down next to a cat with a blow dryer.", "Two girls using a hair dryer on an animal.", "A woman blow drying a cat on the floor.", "Two women work together to use a blow dryer on a dog.", "two women blow-drying a white furry animal after his bath" ], "...	000054042	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A woman holding a piece of food in her right hand.", "A girl holds some food in her hand.", "A girl standing outside with food in her hand. ", "A girl is standing outside staring at something.", "a girl is holding some food in a backyard" ], "cocoid": 104956 }	000054043	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A man making pancakes at a picnic table.", "People stand around an electric skillet while pancakes are made.", "A man grills food while people stand around and watch.", "A man makes pancakes on a griddle at a picnic table while people watch nearby.", "A man standing over a griddle...	000054044	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A plate of eggs, meat and potatoes and a plate of rice and gravy.", "A wooden dining table filled with plates of food.", "A table full of great dishes made by a good chef.", "A table is covered in several plates of breakfast food. ", "A dining table with plates of eggs, roast beef...	000054045	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A paper plate topped with fruity pastries next to a cup of coffee.", "A close up of a plate of food with a fork and cup.", "The pastries are on a plate near the cup of coffee.", "A muffin on a plate and a cup of coffee.", "Two pastries on a plate with chocolate milk" ], "cocoi...	000054046	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A buffet filled with vegetables and different flavored dips.", "A display shows hummus and vegetables on white trays.", "A large salad bar with a variety of sauces .", "A table filled with varied vegetables and fruit.", "A salad bar with tomatoes, cucumbers and other salad fixings...	000054047	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A plate of food with some fruit and some pasta", "Meal of fruits and vegetables with orange juice.", "A white plate topped with meat, veggies and rice.", "a plate of food and a glass of juice besides it", "a plate filled with some meat, sliced veffies, and some rice" ], "cocoi...	000054048	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "Small boy and girl sitting at the table while little girl eats some type of sandwich", "A little girls sits at a table, next to a little boy, eating bread smothered in a brown spread. ", "Two children are sitting at a table while one eats toast.", "One child is eating while the other ...	000054049	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "a close up of many plates of food ", "A couple of plates of food on a table.", "Three plates with different types of food on them sitting at the table. ", "Some food is on a plate on a table ", "This is some fine dining courses on nice plates." ], "cocoid": 330040 }	000054050	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A woman sits beside a display of pots, pottery and china cups.", "a woman sitting on a stool in front of some china", "A very cute lady sitting by a bunch of stuff.", "woman sitting on stool in front of large tea service", "A woman is sitting down next to the cups and hot plate" ...	000054051	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A dressed salad of greens, tomatoes and onions on a white plate. ", "A salad on a plate sits on a table. ", "a white plate two forks a spinach salad dressing and tomatoes", "The white plate has a big salad in it.", "A plate full of spinach salad with dressing" ], "cocoid": 130...	000054052	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "a person that is sitting at a table with food", "The man grins with three bowls of food in front of him. ", "A man sitting at a table in front of plates of food.", "a man sits with a few plates of food in front of him", "a man sitting at a table with some plates of food " ], "...	000054053	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A white bowl of soup sitting on to of a white plate.", "The meal was ordered and served at the table. ", "A bowl of soup and a plate of fried meat.", "an image of a table setting with a bowl and plate of chicken", "A bowl of clear broth in front of a plate of fried foods." ], ...	000054054	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A black table is arranged with food, desserts, and soda. ", "A black table topped with different kinds of food.", "A table with a cake and several foods and drinks.", "A table is full of different kinds of food and drinks.", "a buffet set up with cakes and fruits" ], "cocoid":...	000054055	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "appears to be a pilot of an airplane looking back at the camera ", "A female pilot in the cockpit looking behind her.", "A woman pilot sitting inside the cockpit of a plane.", "Female copilot of commercial aircraft looking back toward photographer.", "A woman sitting on a co-pilot...	000054056	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A couple posing by their wedding cake at their wedding. ", "A bride and groom about to cut their wedding cake with several onlookers.", "A bride and a groom standing in front of a wedding cake.", "A couple cutting the cake at their wedding.", "Woman cutting a wedding cake with the...	000054057	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A man cooking food over an open flame.", "A man cooking sea food on an open grill with fire. ", "The chef is standing over a grill as flames jump from the food.", "A chef using a grill with flames shooting", "A chef at a Japanese restaurant lighting a tower of onion rings." ], ...	000054058	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A couple of people walking around a mall.", "People walking around inside a closed shopping mall", "People walking by some benches in a shopping mall.", "A boy and woman in an open area in shopping center with three park benches. ", "Two people in front of closed stores in a mall....	000054059	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A small bird sitting on the back of a blue chair.", "A bird sitting on an outdoor chair with people in the background.", "A bird is perched upon a wicker seat in an outside dining terrace.", "Two waitresses are surviving customers at the balcony. ", "Waiters serve food on a restau...	000054060	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A man standing in a kitchen preparing food.", "A chef standing in a kitchen preparing food.", "a man is standing behind the counter at a eatery ", "A man in a large kitchen cooking food.", "Cooks are preparing food in an industrial kitchen." ], "cocoid": 365947 }	000054061	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A level laying across a white sink in a white room.", "A small sink in a room that's being remodled.", "A room with damaged walls and sink with two areas", "a double basin sing in the corner of a room", "A new kitchen sink being remodeled and leveled" ], "cocoid": 230700 }	000054062	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "Two women standing in a kitchen cooking food.", "there are two woman that are cooking in the kitchen", "this is a woman standing in a kitchen making food", "two woman standing in a kitchen by astove", "Two women in the kitchen holding food dishes." ], "cocoid": 40830 }	000054063	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A few cupcakes designed like hats on a plate. ", "Several small cakes that have been decorated with dots and bows. ", "A golden tray topped with small cup cakes.", "A cake plate with four different cakes on the plate ", "Four small, frosted gourmet cakes served on a round cake tra...	000054064	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "People hanging out in a kitchen eating and drinking ", "People stand talking around a brick kitchen island.", "People are standing around a brick island in a kitchen.", "a msall group of people inside a kitchen with a fridge and a microwave", "A crowd of young people standing in a...	000054065	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A filthy kitchen with trash on the floor", "An oven sitting unused next to a fridge. ", "A stove in a mostly dismantled kitchen that is littered in trash.", "A large white stove with an oven next to a refrigerator.", "A stove and refrigerator in the middle of the kitchen. " ],...	000054066	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A rotten looking kitchen completely annihilated and destroyed.", "A fire damaged kitchen with a dishwasher still standing.", "a kitchen a bowl a window cupboards and a dish washer", "The destroyed kitchen in an old abandon house.", "A kitchen in a house that was destroyed by a fir...	000054067	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "a woman looking at her cell phone while sitting in a booth", "A woman sitting on a bench at a table with a wine glass is on a cell phone.", "A woman sitting at a booth at a restaurant, looking at her cell phone.", "A woman in a white dress is sitting with her cell phone.", "Woman ...	000054068	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A sink in a kitchen next to two windows.", "A kitchen has white cabinets, wood floors, pots above the sink, and black appliances.", "A kitchen with many white cabinets and pots and pans over the window.", "A white cabinet in a clean home kitchen", "The traditional and well lit kit...	000054069	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A school bus filled with children sitting next to each other.", "Children on a bus mostly sitting with one looking towards the rear standing.", "Several students sitting in rows of seats on a bus.", "Most kids are sitting down while riding a bus, but one child wearing a striped shirt ...	000054070	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A woman standing in a kitchen being remodeled.", "A few people are working on fixing up a house", "People inside a kitchen that has been draped in plastic.", "Three men are preparing to remodel a kitchen.", "A woman opens a pizza box in a kitchen that is getting painted." ], "...	000054071	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A lady holding a large cat by a billiards table", "A Woman that is holding a cat next to a pool table.", "A woman is holding a cat in her arms. ", "a man talking to woman holding a big fluffy cat", "A man and a woman holding a cat by a pool table." ], "cocoid": 223640 }	000054072	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "Tow friends conversating in the kitchen of a residence.", "Two women are in a kitchen talking with one holding a book.", "Two women are having a conversation in the kitchen", "Two women in a kitchen talking across a granite counter top.", "Two women and a cat in a kitchen with woo...	000054073	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A group of people standing on skis in the snow.", "Skiers pose for pictures during a snowy day. ", "There are a few skiers standing together on a hill", "A group of people in the snow on skis.", "A group of people of people on top of skies." ], "cocoid": 473870 }	000054074	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A young man and a lady serving food at a party.", "A man and a women in a kitchen cutting a cake ", "A young man and woman laughing in a kitchen with party food.", "Guy and girl standing in a kitchen with a cake and goodies on the counter.", "A woman is holding a knife up and stan...	000054075	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "Man in green shirt assisting in carrying refrigerator.", "Man in green shirt and sunglasses lifting a refrigerator.", "A man is picking up a white refrigerator. ", "A man with glasses grabs onto a heavy object.", "a man in a green shirt carrying a refidgerator" ], "cocoid": 25...	000054076	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A picture of a very clean sink in a room.", "A kitchen scene focused on the kitchen sink.", "The white sink is the the left of the window.", "We are looking at a farm style sink.", "A pair of sinks in the middle of a kitchen counter with a wooden countertop" ], "cocoid": 56556...	000054077	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "Two young men having a conversation in a kitchen area.", "Two men in the kitchen of a log cabin at night", "Two people that are sitting in a kitchen talking.", "Two men are in a cabin kitchen with one sitting on the counter.", "Two men are talking in the kitchen of a cabin." ], ...	000054078	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A man holding a creepy clown bag on top of a counter.", "A man in the kitchen holding a cake decorated with a clown image.", "A man is posing with a handmade cake.", "A man smiling with a cake in front of him ", "A man is holding a terrifying clown cake." ], "cocoid": 159331 }	000054079	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A group of people playing a game of croquet.", "A game of croquet is being played in a back yard.", "Two guys and a girl playing croquet in the yard.", "A group of four people playing croquet on a lawn.", "A group of friends enjoy a game of croquet on a grassy fenced in field." ...	000054080	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A man is working in a home kitchen", "The man is washing the dishes with a sponge. ", "A man standing in the kitchen near the sink. ", "A guy in the kitchen washing some food.", "A man washing a carrot in the sink." ], "cocoid": 334098 }	000054081	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A large brown dog laying on top of a wooden floor.", "this is a brown dog sitting on a floor", "a dog laying on the floor next to a chair and table", "A dog closes it's eyes while resting on the kitchen floor.", "a dog sitting on the floor alseep. " ], "cocoid": 467720 }	000054082	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A large white kitchen sink with a cupboard overhead.", "A kitchen sink in a kitchen under a white cabinet.", "The start of a remodel behind the kitchen sink.", "A small kitchen is under a lot of construction.", "A BATHROOM WITH A SINK AND DIFFERENT THINGS ON THE SHELF" ], "coc...	000054083	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "Three people sitting at a table looking at laptops", "Four men sitting around with their laptops out. ", "a few people that are on their laptops", "a group of men play video game sin doors", "Four guys, two that can be seen typing, looking at computer screens." ], "cocoid": 34...	000054084	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A group of women standing at a sink washing dishes.", "Three women are washing dishes in a kitchen.", "Lady's cleaning up after a huge family dinner", "Three women standing in a kitchen cleaning plates. ", "A woman washes a bowl in a sink, while a woman next to her holds a towel."...	000054085	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "single guy on a skate board skating on a roof top", "a man on a skate board performing a stunt", "A person on a skateboard in midair doing a jump.", "A man flying through the air on a skateboard.", "A young man in the air skating on a slope" ], "cocoid": 270947 }	000054086	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A group of women standing around a table topped with food.", "A group of women fixing sushi and salad like food.", "Three women around a counter preparing rolls of sushi.", "Three woman preparing food on a kitchen counter.", "Three women are chopping vegetables on a counter top." ...	000054087	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A group of ladies stand around a kitchen island.", "WOMEN IN A KITCHEN WATCHING ANOTHER PREPARE A MEAL", "a few women that are standing around some food", "The people in the photo are watching as a woman prepares food. ", "A group of people standing around a kitchen preparing food...	000054088	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A woman standing over a table in front of trays and plates of food.", "Several people prepare meals on a wooden table. ", "a group of people that have a bunch of food on a table", "there is a woman that is making sushi on the table", "A woman grabs food from a table of assorted di...	000054089	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A girl and a dog playing in a kitchen.", "A woman leaping up into the air next to a dog.", "Girl airborne in the kitchen with a dog at her feet.", "A WOMAN IS JUMPING HIGH WITH THE DOG IN THE KITCHEN ", "a person jumping in the air in the kitchen in front of a crouching dog" ], ...	000054090	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "there are two animals that are swimming in the water by the beach", "A couple of small boars in the water.", "People are enjoying a beautiful day on the beach.", "Two speed boats are parked on the beach near groups of people.", "boats floating in the water near the shore." ], ...	000054091	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "Group of people on the back of a small boat in water. ", "People in boat with beach and ocean with cloudy sky", "A group of people sit in the water on the shore in a boat.", "A small boat full of people coasts near the shore.", "A group of people in a small motor boat" ], "coc...	000054092	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A man on a boat with the shore behind him", "Man driving boat just off the coast line.", "A very tan man driving a wooden boat on the open water.", "A boater is driving a speed boat through the water.", "a man steering a boat acros part of a lake " ], "cocoid": 437148 }	000054093	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A kitchen in the middle of a renovation with appliances pulled from the walls.", "An empty house with appliances out of place.", "A kitchen with the appliances pulled out from the wall ", "The appliances are pulled out from their spot in the kitchen.", "A kitchen being remodeled w...	000054094	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A kitchen filled with white cabinets and a wooden ladder.", "A small kitchen with a white set of cabinets.", "A white cabinetry is shown in a kitchen.", "a kitchen area with a scale cabinets and books", "This is a picture of a cabinet in someone's kitchen." ], "cocoid": 109145...	000054095	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A busy kitchen with a chef preparing a meal.", "A cook in a restaurant kitchen works on preparing food.", "A kitchen at a restaurant with two people by the register and one cooking food.", "some people a counter some ovens lights and glasses", "a restaurant kitchen with stainless ...	000054096	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A kitchen with red and white tiles and white cabinets.", "A white kitchen with rad and white back splash.", "A kitchen counter and sink with some squash on the counter.", "A kitchen with a white cupboard and a black dishwasher. ", "A bright kitchen with red-and-white checkerboard ...	000054097	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "A dark kitchen with wooden cabinets and brown appliances", "A kitchen with upper and lower cabinetry and old appliances.", "A clean empty kitchen with wooden cabinets in it.", "An old kitchen that looks like it hasn't been used in a while.", "The kitchen is very dated looking and ...	000054098	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar
{ "captions": [ "There is a basket of fruit on a counter", "A bunch of bananas and a bag of plums in a monkey pod bowl.", "Several different types of fruit sit together in a bowl.", "A bowl of fruit containing bananas and plums which were half off. ", "A fruit bowl with a bunch of bananas and a pl...	000054099	hf://datasets/undefined443/coco-karpathy-wds@5021c715252e68c2e7fdb9089c9746c0af2a4a59/train/train-00054.tar

End of preview. Expand in Data Studio

COCO-2014 WebDataset Format (Karpathy Splits)

This dataset contains the COCO-2014 images and captions converted to WebDataset (WDS) format, using the Karpathy & Li (2015) dataset split for image captioning tasks.

Overview

Total Samples: 123,287 images with 5 reference captions each
Total Size: ~19 GB
Format: WebDataset (.tar shards)
Shard Size: 1,000 samples per tar file
License: CC-BY 4.0
Language: English

Structure

COCO-2014-WDS/
├── train/          (113,287 samples, 114 shards)
│   ├── train-00000.tar
│   ├── train-00001.tar
│   └── ...
├── val/            (5,000 samples, 5 shards)
│   ├── val-00000.tar
│   └── ...
└── test/           (5,000 samples, 5 shards)
    ├── test-00000.tar
    └── ...

File Format

Each .tar file contains sample pairs:

{key:09d}.jpg - Original JPEG image (bytes)
{key:09d}.json - Metadata with captions

JSON Structure

{
  "captions": [
    "A woman wearing a net on her head cutting a cake.",
    "A woman cutting a large white sheet cake.",
    "A woman wearing a hair net cutting a large sheet cake.",
    "there is a woman that is cutting a white cake",
    "A woman marking a cake with the back of a chef's knife."
  ],
  "cocoid": 522418
}

Reading the Dataset

Using Hugging Face datasets library (Recommended)

from datasets import load_dataset

# Load training split (streaming mode)
dataset = load_dataset("undefined443/coco-karpathy-wds", split="train", streaming=True)

# Load validation split
val_dataset = load_dataset("undefined443/coco-karpathy-wds", split="val", streaming=True)

# Iterate through samples
for sample in dataset.take(5):
    image = sample['image']  # PIL.Image
    metadata = sample['json']  # dict with 'captions' and 'cocoid'
    print(f"Image size: {image.size}")
    print(f"COCO ID: {metadata['cocoid']}")
    print(f"Captions: {metadata['captions']}")

Using WebDataset library directly

import webdataset as wds
import json
from io import BytesIO
from PIL import Image

# Load from HF Hub
url = "https://huggingface.co/datasets/undefined443/coco-karpathy-wds/resolve/main/train/train-{00000..00113}.tar"

dataset = (
    wds.WebDataset(url)
    .decode("pillow", handler=wds.ignore_and_continue)
    .to_tuple("jpg", "json")
    .map_dict(jpg=lambda x: x, json=json.loads)
)

for sample in dataset:
    image = sample['jpg']
    metadata = sample['json']
    captions = metadata['captions']
    cocoid = metadata['cocoid']

Using standard tarfile library (with huggingface_hub)

import tarfile
import json
from PIL import Image
from huggingface_hub import hf_hub_download

# Download a tar shard from HF Hub
tar_path = hf_hub_download(
    repo_id="undefined443/coco-karpathy-wds",
    filename="train/train-00000.tar",
    repo_type="dataset"
)

with tarfile.open(tar_path) as tar:
    for member in tar.getmembers():
        if member.name.endswith('.jpg'):
            # Extract image
            img_file = tar.extractfile(member)
            image = Image.open(img_file).convert('RGB')

            # Extract corresponding JSON
            json_name = member.name.replace('.jpg', '.json')
            json_file = tar.extractfile(json_name)
            metadata = json.load(json_file)

            captions = metadata['captions']
            cocoid = metadata['cocoid']
            print(f"COCO ID {cocoid}: {image.size}, {len(captions)} captions")

Dataset Splits

Split	Samples	Source	Tar Files
train	113,287	train2014 (82,783) + val2014 restval (30,504)	114
val	5,000	val2014	5
test	5,000	val2014	5
Total	123,287	-	124

Karpathy Split Details

The Karpathy split (Karpathy & Li, 2015) is the standard benchmark for image captioning:

Carefully designed train/val/test split to avoid data leakage
Used by the majority of SOTA image captioning models
Enables direct comparison with published benchmark results
Each image has exactly 5 human-written captions from different annotators

Technical Details

Image Properties

Format: Original JPEG (raw bytes, no preprocessing or resizing)
Size Range: Varies (typical: 200×150 to 640×480 pixels)
Color Space: RGB
Compression: JPEG quality as in original COCO-2014

Caption Properties

Language: English
Count per Image: 5 reference captions
Length Range: 8-30 words (typical)
Style: Natural language descriptions from crowdsourced annotators

File Structure

Each tar file contains exactly 1,000 samples (except the last shard)
Keys are globally unique 9-digit indices (000000000, 000000001, etc.)
Shard numbering is consistent across train/val/test splits
File pairs: {key}.jpg (image) and {key}.json (metadata)

Usage Notes

All images are in original JPEG format without any preprocessing
Each image has exactly 5 captions from different annotators
Keys are 9-digit zero-padded indices for reproducibility
Compatible with webdataset library for efficient distributed training
Can be loaded with datasets library via load_dataset() for streaming
Supports both streaming mode (no disk space required) and local download

References

@inproceedings{karpathy2015deep,
  title={Deep Visual-Semantic Alignments for Generating Image Descriptions},
  author={Karpathy, Andrej and Li, Fei-Fei},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2015},
  pages={3128--3137}
}

@inproceedings{lin2014microsoft,
  title={Microsoft COCO: Common Objects in Context},
  author={Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and others},
  booktitle={European Conference on Computer Vision (ECCV)},
  year={2014},
  pages={740--755}
}

Related Datasets

COCO-2014 (Original): Full annotation format with detection, segmentation, and captions
Conceptual Captions 12M (WDS): Large-scale WebDataset image-caption pairs
LAION-COCO: 600M image-text pairs from COCO images

Citation

If you use this dataset, please cite both the original COCO dataset and the Karpathy split paper:

Karpathy & Li (2015) - Karpathy Splits
Lin et al. (2014) - MS COCO Dataset

Downloads last month: 31

Number of rows:

37,500

Estimated number of rows:

66,165

Total file size:

20.4 GB

Papers for undefined443/coco-karpathy-wds

Deep Visual-Semantic Alignments for Generating Image Descriptions

Paper • 1412.2306 • Published Dec 7, 2014

Microsoft COCO: Common Objects in Context

Paper • 1405.0312 • Published May 1, 2014 • 1