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Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: JSON parse error: Column(/id) changed from string to number in row 70
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 145, in _generate_tables
dataset = json.load(f)
File "/usr/local/lib/python3.9/json/__init__.py", line 293, in load
return loads(fp.read(),
File "/usr/local/lib/python3.9/json/__init__.py", line 346, in loads
return _default_decoder.decode(s)
File "/usr/local/lib/python3.9/json/decoder.py", line 340, in decode
raise JSONDecodeError("Extra data", s, end)
json.decoder.JSONDecodeError: Extra data: line 2 column 1 (char 784)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1995, in _prepare_split_single
for _, table in generator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 148, in _generate_tables
raise e
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 122, in _generate_tables
pa_table = paj.read_json(
File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/id) changed from string to number in row 70
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1529, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1154, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
id string | image string | conversations list |
|---|---|---|
000000033471 | coco/train2017/000000033471.jpg | [
{
"from": "human",
"value": "<image>\nWhat are the colors of the bus in the image?",
"jp": "画像のバスの色は何色ですか?"
},
{
"from": "gpt",
"value": "The bus in the image is white and red.",
"jp": "画像のバスは白と赤。"
},
{
"from": "human",
"value": "What feature can be seen on the back of the bu... |
000000052846 | coco/train2017/000000052846.jpg | [
{
"from": "human",
"value": "Where is the cat positioned in the image?\n<image>",
"jp": "猫は画像のどこに配置されていますか?"
},
{
"from": "gpt",
"value": "The cat is positioned on top of the back of the couch in the living room.",
"jp": "猫はリビングルームのソファーの背もたれの上に置かれています。"
},
{
"from": "human",
... |
000000334872 | coco/train2017/000000334872.jpg | [
{
"from": "human",
"value": "<image>\nAre the people in the image skiing downhill or cross-country skiing?",
"jp": "画像に写っている人たちは、スキーを滑っているのでしょうか、それともクロスカントリースキーをしているのでしょうか?"
},
{
"from": "gpt",
"value": "The people in the image are cross-country skiing in the woods, as they are skiing on a t... |
000000319154 | coco/train2017/000000319154.jpg | [
{
"from": "human",
"value": "<image>\nWhat color is the dog in the image?",
"jp": "画像の犬は何色ですか?"
},
{
"from": "gpt",
"value": "The dog in the image is brown.",
"jp": "画像の犬は茶色です。"
},
{
"from": "human",
"value": "What type of collar does the dog have?",
"jp": "犬の首輪の種類は?"
}... |
000000398214 | coco/train2017/000000398214.jpg | [
{
"from": "human",
"value": "What type of sign and traffic device can be seen in the image?\n<image>",
"jp": "画像にはどのような標識や交通装置が見えますか?"
},
{
"from": "gpt",
"value": "In the image, there is a street sign and a traffic light above a city road.",
"jp": "画像では、市道の上に道路標識と信号機があります。"
},
{
... |
000000520873 | coco/train2017/000000520873.jpg | [
{
"from": "human",
"value": "<image>\nWhat is the girl eating in the image?",
"jp": "画像の中で少女は何を食べているのでしょうか?"
},
{
"from": "gpt",
"value": "The girl in the image is eating a dessert, which appears to be a graham cracker treat or a cookie sandwich.",
"jp": "画像の少女が食べているのは、グラハムクラッカーかクッキーサンドと... |
000000575173 | coco/train2017/000000575173.jpg | [
{
"from": "human",
"value": "<image>\nWhat type of aircraft is shown in the image?",
"jp": "画像に写っている航空機の種類は?"
},
{
"from": "gpt",
"value": "The image shows a large passenger jet belonging to China Airlines.",
"jp": "画像はチャイナエアラインの大型旅客機。"
},
{
"from": "human",
"value": "Is the ... |
000000087286 | coco/train2017/000000087286.jpg | [
{
"from": "human",
"value": "What is hanging from the traffic light pole?\n<image>",
"jp": "信号機のポールにぶら下がっているものは何ですか?"
},
{
"from": "gpt",
"value": "A green street sign is hanging from the traffic light pole.",
"jp": "信号機のポールには緑の道路標識がぶら下がっています。"
},
{
"from": "human",
"value": ... |
000000032286 | coco/train2017/000000032286.jpg | [
{
"from": "human",
"value": "<image>\nHow many chocolate-covered doughnuts are there in the image?",
"jp": "画像にはチョコレートがかかったドーナツがいくつ写っていますか?"
},
{
"from": "gpt",
"value": "There are seven chocolate-covered doughnuts in the image.",
"jp": "画像には7つのチョコレートドーナツが写っています。"
},
{
"from": "h... |
000000175217 | coco/train2017/000000175217.jpg | [
{
"from": "human",
"value": "What is the color of the sink and vanity in the bathroom?\n<image>",
"jp": "バスルームの洗面台とシンクの色は何ですか?"
},
{
"from": "gpt",
"value": "The sink and vanity in the bathroom are beige in color.",
"jp": "バスルームのシンクと洗面台はベージュ色です。"
},
{
"from": "human",
"value"... |
000000230238 | coco/train2017/000000230238.jpg | [
{
"from": "human",
"value": "<image>\nWhat is the main color of the vase in the image?",
"jp": "画像の花瓶の主な色は何ですか?"
},
{
"from": "gpt",
"value": "The main color of the vase in the image is blue.",
"jp": "画像の花瓶のメインカラーはブルーです。"
},
{
"from": "human",
"value": "Where is the vase loca... |
000000392166 | coco/train2017/000000392166.jpg | [
{
"from": "human",
"value": "<image>\nIs the man on the skateboard holding a dog?",
"jp": "スケートボードに乗っている男は犬を抱いているのでしょうか?"
},
{
"from": "gpt",
"value": "Yes, the man on the skateboard is holding a dog in his arm.",
"jp": "そう、スケートボードに乗っている男は、腕に犬を抱いているのです。"
},
{
"from": "human",
... |
000000521031 | coco/train2017/000000521031.jpg | [
{
"from": "human",
"value": "<image>\nWhat objects are the main focus of the image?",
"jp": "画像の主な焦点は何ですか?"
},
{
"from": "gpt",
"value": "The main focus of the image is a collection of stuffed toy bears.",
"jp": "画像の主な焦点は、クマのぬいぐるみのコレクションです。"
},
{
"from": "human",
"value": "Wh... |
000000199318 | coco/train2017/000000199318.jpg | [
{
"from": "human",
"value": "<image>\nWhat is the prominent feature of the large building in the image?",
"jp": "画像に写っている大きな建物の目立つ特徴は何ですか?"
},
{
"from": "gpt",
"value": "The prominent feature of the large building in the image is the tall clock tower.",
"jp": "画像に写っている大きな建物の際立った特徴は、高い時計塔... |
000000483357 | coco/train2017/000000483357.jpg | [
{
"from": "human",
"value": "<image>\nWhat color is the bathroom in the image?",
"jp": "画像のバスルームは何色ですか?"
},
{
"from": "gpt",
"value": "The bathroom in the image is white, with white fixtures.",
"jp": "画像のバスルームは白で、備品も白です。"
},
{
"from": "human",
"value": "What are the main elem... |
000000197680 | coco/train2017/000000197680.jpg | [
{
"from": "human",
"value": "How many glass walls are there in the bathroom beside the large tub?\n<image>",
"jp": "バスルームの大きな浴槽の横には、ガラスの壁がいくつありますか?"
},
{
"from": "gpt",
"value": "There are two glass walls beside the large tub in the bathroom.",
"jp": "バスルームの大きなバスタブの横には、ガラス張りの壁が2つあります。"
... |
000000121795 | coco/train2017/000000121795.jpg | [
{
"from": "human",
"value": "Is there a person standing next to water in the image?\n<image>",
"jp": "画像の中で、水の横に立っている人はいますか?"
},
{
"from": "gpt",
"value": "Yes, there is a person standing next to some blue water in the image.",
"jp": "そうです、画像には青い水の横に人が立っています。"
},
{
"from": "human... |
000000341431 | coco/train2017/000000341431.jpg | [
{
"from": "human",
"value": "<image>\nWhat time of day does the image capture?",
"jp": "画像は何時頃撮影されたものですか?"
},
{
"from": "gpt",
"value": "The image captures a night scene.",
"jp": "画像は夜景を撮影したものです。"
},
{
"from": "human",
"value": "How is the street illuminated in the image?",
... |
000000300011 | coco/train2017/000000300011.jpg | [
{
"from": "human",
"value": "What type of vehicle is parked in front of the Kingfisher airplane?\n<image>",
"jp": "キングフィッシャーの飛行機の前に停まっているのはどんな車ですか?"
},
{
"from": "gpt",
"value": "A food service truck is parked in front of the Kingfisher airplane.",
"jp": "キングフィッシャー機の前に停まっている給食トラック。"
},... |
000000120375 | coco/train2017/000000120375.jpg | [
{
"from": "human",
"value": "<image>\nWhat type of vehicle is driving down the street in the image?",
"jp": "画像の通りを走っているのはどんな車ですか?"
},
{
"from": "gpt",
"value": "A red sports utility vehicle (SUV) is driving down the street in the image.",
"jp": "赤いスポーツ多目的車(SUV)が画像の通りを走っています。"
},
{
... |
000000179037 | coco/train2017/000000179037.jpg | [
{
"from": "human",
"value": "<image>\nWhat type of food is in the box in the image?",
"jp": "画像の箱の中にはどんな食べ物が入っていますか?"
},
{
"from": "gpt",
"value": "There is a loaded pizza pie with toppings inside the box in the image.",
"jp": "画像の箱の中には、トッピングされたピザパイが入っています。"
},
{
"from": "human",... |
000000376970 | coco/train2017/000000376970.jpg | [
{
"from": "human",
"value": "<image>\nWhat color is the bathroom in the image?",
"jp": "画像のバスルームは何色ですか?"
},
{
"from": "gpt",
"value": "The bathroom in the image is all white.",
"jp": "画像のバスルームは白一色です。"
},
{
"from": "human",
"value": "Does the bathroom have a bathtub or a showe... |
000000043464 | coco/train2017/000000043464.jpg | [
{
"from": "human",
"value": "<image>\nWhat traffic signs can be seen in the image?",
"jp": "画像にはどのような交通標識が見えますか?"
},
{
"from": "gpt",
"value": "In the image, there are two traffic signs on a post: a \"Stop\" sign and a \"One Way\" sign.",
"jp": "画像では、ポストの上に「止まれ」の標識と「一方通行」の標識の2つの交通標識があります... |
000000326761 | coco/train2017/000000326761.jpg | [
{
"from": "human",
"value": "What type of television is shown in the image?\n<image>",
"jp": "画像に写っているテレビの種類は?"
},
{
"from": "gpt",
"value": "The image shows an old black and white television set.",
"jp": "画像は古い白黒テレビ。"
},
{
"from": "human",
"value": "What is displayed on the ... |
000000269327 | coco/train2017/000000269327.jpg | [
{
"from": "human",
"value": "<image>\nWhat is the design of the cake in the image?",
"jp": "画像のケーキのデザインは?"
},
{
"from": "gpt",
"value": "The cake in the image is designed to look like a nurse's hat.",
"jp": "画像のケーキはナースハットをイメージしています。"
},
{
"from": "human",
"value": "What shape... |
000000023444 | coco/train2017/000000023444.jpg | [
{
"from": "human",
"value": "<image>\nWhat kind of appliance is shown in the image?",
"jp": "画像に写っている電化製品は何ですか?"
},
{
"from": "gpt",
"value": "The appliance shown in the image is a toaster oven.",
"jp": "画像はオーブントースターです。"
},
{
"from": "human",
"value": "Is there any device att... |
000000108113 | coco/train2017/000000108113.jpg | [
{
"from": "human",
"value": "<image>\nWhat is the position of the dog in the image?",
"jp": "画像の中の犬の位置は?"
},
{
"from": "gpt",
"value": "The dog is sitting next to the donut pillow.",
"jp": "犬はドーナツ枕の隣に座っています。"
},
{
"from": "human",
"value": "What kind of object is accompanying... |
000000239114 | coco/train2017/000000239114.jpg | [
{
"from": "human",
"value": "<image>\nWhat kind of flowers are in the vase?",
"jp": "花瓶の花は何ですか?"
},
{
"from": "gpt",
"value": "The vase contains a bouquet of purple tulips.",
"jp": "花瓶には紫色のチューリップの花束が入っています。"
},
{
"from": "human",
"value": "What is the vase sitting on?",
"... |
000000048937 | coco/train2017/000000048937.jpg | [
{
"from": "human",
"value": "<image>\nHow many women are in the image holding toothbrushes?",
"jp": "歯ブラシを持っている女性は何人いますか?"
},
{
"from": "gpt",
"value": "There are two women in the image holding toothbrushes.",
"jp": "画像には歯ブラシを持った2人の女性が写っています。"
},
{
"from": "human",
"value": "... |
000000037662 | coco/train2017/000000037662.jpg | [
{
"from": "human",
"value": "What objects are present in the scene?\n<image>",
"jp": "どのようなオブジェクトがシーンに存在しますか?"
},
{
"from": "gpt",
"value": "In the scene, there are a cap, a baseball glove, a baseball, and some green grass.",
"jp": "帽子、グローブ、野球ボール、そして緑の芝生。"
},
{
"from": "human",
... |
000000055534 | coco/train2017/000000055534.jpg | [
{
"from": "human",
"value": "What is the bird doing in the image?\n<image>",
"jp": "鳥は画像の中で何をしているのでしょうか?"
},
{
"from": "gpt",
"value": "The bird is perched on a branch of a tree, looking up at the surrounding branches or leaves.",
"jp": "鳥は木の枝に止まり、周囲の枝や葉を見上げています。"
},
{
"from": "h... |
000000432526 | coco/train2017/000000432526.jpg | [
{
"from": "human",
"value": "<image>\nHow many skiers are there in the group?",
"jp": "グループには何人のスキーヤーがいますか?"
},
{
"from": "gpt",
"value": "There are four skiers in the group.",
"jp": "グループには4人のスキーヤーがいます。"
},
{
"from": "human",
"value": "What are the skiers doing on the slope?... |
000000565444 | coco/train2017/000000565444.jpg | [
{
"from": "human",
"value": "What is the man wearing while sitting on the motorcycle?\n<image>",
"jp": "バイクに座っているとき、男は何を着ていますか?"
},
{
"from": "gpt",
"value": "The man is wearing a Harley Davidson jacket and a leather jacket while sitting on the motorcycle.",
"jp": "ハーレーダビッドソンのジャケットとレザージャ... |
000000551172 | coco/train2017/000000551172.jpg | [
{
"from": "human",
"value": "How many people are snowboarding in the image?\n<image>",
"jp": "画像の中で何人がスノーボードをしていますか?"
},
{
"from": "gpt",
"value": "There are two people snowboarding in the image.",
"jp": "画像の中にスノーボードをしている人が2人います。"
},
{
"from": "human",
"value": "What is the a... |
000000225479 | coco/train2017/000000225479.jpg | [
{
"from": "human",
"value": "What is the weather like in the image?\n<image>",
"jp": "画像の天気はどんな感じですか?"
},
{
"from": "gpt",
"value": "The weather in the image is cloudy, with a cloudy sky visible over the city street.",
"jp": "画像の天気は曇りで、街並みの上に曇り空が見えます。"
},
{
"from": "human",
"... |
000000108287 | coco/train2017/000000108287.jpg | [
{
"from": "human",
"value": "<image>\nWhat style is the bed frame in the image?",
"jp": "画像のベッドフレームはどのようなスタイルですか?"
},
{
"from": "gpt",
"value": "The bed frame in the image is a sleigh style bed frame.",
"jp": "画像のベッドフレームは、スレイスタイルのベッドフレームです。"
},
{
"from": "human",
"value": "Wh... |
000000481820 | coco/train2017/000000481820.jpg | [
{
"from": "human",
"value": "<image>\nWhat types of flowers are in the vase?",
"jp": "花瓶に入っている花の種類は?"
},
{
"from": "gpt",
"value": "The vase is filled with a bouquet of sunflowers and roses, which are mixed with other flowers. The colors of the flowers include yellow and red.",
"jp": "花瓶... |
000000331832 | coco/train2017/000000331832.jpg | [
{
"from": "human",
"value": "<image>\nHow many men are there in the image?",
"jp": "画像には何人の男性が写っていますか?"
},
{
"from": "gpt",
"value": "There are two men in the image.",
"jp": "画像には2人の男性が写っています。"
},
{
"from": "human",
"value": "What are the two men doing in the image?",
"jp... |
000000508913 | coco/train2017/000000508913.jpg | [
{
"from": "human",
"value": "<image>\nWhat type of truck is featured in the image?",
"jp": "画像に写っているトラックの種類は?"
},
{
"from": "gpt",
"value": "The image features a Lucey Transport LTD truck, which is a large transport or big rig truck.",
"jp": "画像は、大型輸送トラックまたはビッグリグトラックであるLucey Transport LT... |
000000562394 | coco/train2017/000000562394.jpg | [
{
"from": "human",
"value": "<image>\nWhat are the main appliances and features evident in the kitchen?",
"jp": "キッチンにある主な家電製品や機能は何ですか?"
},
{
"from": "gpt",
"value": "The main appliances and features visible in the kitchen include a refrigerator, microwave, sink, two small counters, a rollin... |
000000317730 | coco/train2017/000000317730.jpg | [
{
"from": "human",
"value": "What object is the man holding in the image?\n<image>",
"jp": "画像の中で男性が手にしているものは何ですか?"
},
{
"from": "gpt",
"value": "The man in the image is holding a white surfboard.",
"jp": "画像の男性は白いサーフボードを持っています。"
},
{
"from": "human",
"value": "What kind of i... |
000000296706 | coco/train2017/000000296706.jpg | [
{
"from": "human",
"value": "<image>\nHow many zebras are in the image?",
"jp": "画像の中にシマウマは何頭いますか?"
},
{
"from": "gpt",
"value": "There is a herd of zebras in the image; the exact number cannot be determined, but it is clear that there are multiple zebras present.",
"jp": "画像にはシマウマの群れが写っ... |
000000523795 | coco/train2017/000000523795.jpg | [
{
"from": "human",
"value": "<image>\nHow many giraffes are in the image?",
"jp": "画像の中にキリンは何頭いますか?"
},
{
"from": "gpt",
"value": "There are two giraffes in the image.",
"jp": "画像にはキリンが2頭写っています。"
},
{
"from": "human",
"value": "What is the setting and time of day for this ima... |
000000226053 | coco/train2017/000000226053.jpg | [
{
"from": "human",
"value": "<image>\nIs there a small building in the image?",
"jp": "画像の中に小さな建物がありますか?"
},
{
"from": "gpt",
"value": "Yes, there is a small building on the side of a cliff near the water in the image.",
"jp": "そうです、画像の水辺近くの崖の中腹に小さな建物があります。"
},
{
"from": "human",... |
000000379830 | coco/train2017/000000379830.jpg | [
{
"from": "human",
"value": "What kind of fence is the owl next to in the image?\n<image>",
"jp": "画像のフクロウの隣にはどんなフェンスがありますか?"
},
{
"from": "gpt",
"value": "The owl is next to a wire fence, specifically, a chain-link fence.",
"jp": "フクロウは金網、特にチェーンフェンスの隣にいます。"
},
{
"from": "human",... |
000000103910 | coco/train2017/000000103910.jpg | [
{
"from": "human",
"value": "<image>\nWhat objects are featured in the bathroom shown in the image?",
"jp": "画像のバスルームにはどのようなものがありますか?"
},
{
"from": "gpt",
"value": "In the bathroom shown in the image, there is a bathtub, a separate shower stall, a towel, and a framed picture.",
"jp": "画像... |
000000218990 | coco/train2017/000000218990.jpg | [
{
"from": "human",
"value": "What types of produce can be identified in the image?\n<image>",
"jp": "画像からどのような種類の農産物が確認できますか?"
},
{
"from": "gpt",
"value": "In the image, we can identify squash, bananas, and mushrooms among the pile of fresh fruits and vegetables.",
"jp": "画像では、新鮮な野菜や果物の... |
000000445731 | coco/train2017/000000445731.jpg | [
{
"from": "human",
"value": "How many cats are in the image?\n<image>",
"jp": "画像には何匹の猫が写っていますか?"
},
{
"from": "gpt",
"value": "There are two cats in the image.",
"jp": "画像には猫が2匹写っています。"
},
{
"from": "human",
"value": "What activity are the cats engaged in?",
"jp": "猫たちはど... |
000000437994 | coco/train2017/000000437994.jpg | [
{
"from": "human",
"value": "What type of bridge is present in the image?\n<image>",
"jp": "画像に写っている橋の種類は?"
},
{
"from": "gpt",
"value": "There is a stone bridge present in the image.",
"jp": "画像には石橋が写っています。"
},
{
"from": "human",
"value": "What is the shape of the stone brid... |
000000358088 | coco/train2017/000000358088.jpg | [
{
"from": "human",
"value": "<image>\nWhat type of boat is shown in the image?",
"jp": "画像に写っている船の種類は?"
},
{
"from": "gpt",
"value": "The image shows a large white boat, which could be described as a yacht, sitting in the water.",
"jp": "画像には、水面に浮かぶヨットとも言える大きな白い船が写っています。"
},
{
"f... |
000000098543 | coco/train2017/000000098543.jpg | [
{
"from": "human",
"value": "<image>\nWhat is the color of the train in the image?",
"jp": "画像の列車の色は何色ですか?"
},
{
"from": "gpt",
"value": "The train in the image is yellow and blue.",
"jp": "画像の列車は黄色と青。"
},
{
"from": "human",
"value": "What is the setting of the photo? What ki... |
000000109095 | coco/train2017/000000109095.jpg | [
{
"from": "human",
"value": "What is the occupation of the person in the image?\n<image>",
"jp": "画像の人物の職業は?"
},
{
"from": "gpt",
"value": "The person in the image is a railroad worker or a train station operator.",
"jp": "画像の人物は鉄道員か駅員です。"
},
{
"from": "human",
"value": "What... |
000000428329 | coco/train2017/000000428329.jpg | [
{
"from": "human",
"value": "<image>\nWhat is the primary setting of the image?",
"jp": "画像の主な設定は何ですか。"
},
{
"from": "gpt",
"value": "The primary setting of the image is a backyard with a patio area.",
"jp": "イメージの主な舞台は、中庭のある裏庭です。"
},
{
"from": "human",
"value": "What type of... |
000000012805 | coco/train2017/000000012805.jpg | [
{
"from": "human",
"value": "What type of bird is on the refrigerator door?\n<image>",
"jp": "冷蔵庫の扉に描かれている鳥の種類は?"
},
{
"from": "gpt",
"value": "There is a parrot on the refrigerator door.",
"jp": "冷蔵庫の扉にはオウムが。"
},
{
"from": "human",
"value": "What is the man doing in the kitc... |
000000039446 | coco/train2017/000000039446.jpg | [
{
"from": "human",
"value": "<image>\nIs the man eating pizza or another type of food?",
"jp": "男はピザを食べているのでしょうか、それとも別の食べ物でしょうか?"
},
{
"from": "gpt",
"value": "The man is eating pizza as there's a slice of pizza on his plate.",
"jp": "皿の上に一切れのピザが乗っているので、男はピザを食べています。"
},
{
"from":... |
000000076590 | coco/train2017/000000076590.jpg | [
{
"from": "human",
"value": "How many pizzas are visible in the image?\n<image>",
"jp": "画像には何枚のピザが写っていますか?"
},
{
"from": "gpt",
"value": "There are two pizzas visible in the image.",
"jp": "画像にはピザが2枚写っています。"
},
{
"from": "human",
"value": "What kind of toppings can be seen o... |
000000469092 | coco/train2017/000000469092.jpg | [
{
"from": "human",
"value": "<image>\nWhat is the shape and color of the birthday cake in the image?",
"jp": "画像のバースデーケーキの形と色は何ですか?"
},
{
"from": "gpt",
"value": "The birthday cake in the image is shaped like a castle and is pink in color.",
"jp": "画像のバースデーケーキはお城の形をしていて、色はピンクです。"
},
... |
000000256155 | coco/train2017/000000256155.jpg | [
{
"from": "human",
"value": "What are the two men doing in front of the tattoo store?\n<image>",
"jp": "タトゥー店の前で二人は何をしているのですか?"
},
{
"from": "gpt",
"value": "The two men are waiting or sitting in front of the tattoo and piercing shop, accompanied by a dog.",
"jp": "タトゥーとピアスの店の前で、犬を連れた二人の... |
000000019501 | coco/train2017/000000019501.jpg | [
{
"from": "human",
"value": "Where is the young woman in the image?\n<image>",
"jp": "画像に写っている若い女性はどこにいるのでしょうか?"
},
{
"from": "gpt",
"value": "The young woman is in a wave pool at a water slide, riding on a bodyboard.",
"jp": "ウォータースライダーで波のプールに入り、ボディボードに乗っている若い女性。"
},
{
"from": "... |
000000049217 | coco/train2017/000000049217.jpg | [
{
"from": "human",
"value": "<image>\nWhat is the man doing in the image?",
"jp": "この男は画像の中で何をしているのでしょうか?"
},
{
"from": "gpt",
"value": "The man is cross-country skiing through the snowy woods, enjoying the serene winter surroundings.",
"jp": "この男性は、雪に覆われた森の中をクロスカントリースキーで滑っています。"
},
... |
000000281764 | coco/train2017/000000281764.jpg | [
{
"from": "human",
"value": "What breed is the dog in the image?\n<image>",
"jp": "画像の犬は何という犬種ですか?"
},
{
"from": "gpt",
"value": "The dog in the image is a Doberman.",
"jp": "画像の犬はドーベルマンです。"
},
{
"from": "human",
"value": "What is the dog's expression in the image?",
"jp"... |
000000308098 | coco/train2017/000000308098.jpg | [
{
"from": "human",
"value": "What animal is depicted in the image?\n<image>",
"jp": "どのような動物が描かれていますか?"
},
{
"from": "gpt",
"value": "The image depicts a red panda.",
"jp": "画像にはレッサーパンダが描かれています。"
},
{
"from": "human",
"value": "What is the red panda holding to eat?",
"jp"... |
000000365573 | coco/train2017/000000365573.jpg | [
{
"from": "human",
"value": "<image>\nWhere is the man located in the image?",
"jp": "その男性は画像のどこにいますか?"
},
{
"from": "gpt",
"value": "The man is located at a campsite or picnic area of a park, which has bicycles and a picnic table nearby.",
"jp": "男はキャンプ場や公園のピクニックエリアにあり、近くには自転車やピクニックテーブル... |
000000434602 | coco/train2017/000000434602.jpg | [
{
"from": "human",
"value": "<image>\nHow many bears are there in the image?",
"jp": "画像の中にクマは何頭いますか?"
},
{
"from": "gpt",
"value": "There are three bears in the image: a mother bear and her two cubs.",
"jp": "画像には3頭の熊が写っています:母熊と2頭の子熊です。"
},
{
"from": "human",
"value": "What ... |
000000040068 | coco/train2017/000000040068.jpg | [
{
"from": "human",
"value": "<image>\nWhat is the primary color of the kitchen in the image?",
"jp": "画像のキッチンの原色は何色ですか?"
},
{
"from": "gpt",
"value": "The primary color of the kitchen in the image is white.",
"jp": "画像のキッチンの原色は白です。"
},
{
"from": "human",
"value": "Is there a ... |
000000049858 | coco/train2017/000000049858.jpg | [
{
"from": "human",
"value": "What is the skateboarder doing in the image?\n<image>",
"jp": "画像の中でスケートボーダーは何をしているのでしょうか?"
},
{
"from": "gpt",
"value": "The skateboarder in the image is performing a jump while doing an in-air trick, seemingly flying through the air while riding their skateboar... |
000000119994 | coco/train2017/000000119994.jpg | [
{
"from": "human",
"value": "What is the man doing in the image?\n<image>",
"jp": "この男は画像の中で何をしているのでしょうか?"
},
{
"from": "gpt",
"value": "The man in the image is swinging a baseball bat, trying to hit a ball on a field during a baseball game.",
"jp": "画像の男性は、野球の試合中にフィールドでボールを打とうとして、野球のバット... |
000000541532 | coco/train2017/000000541532.jpg | [
{
"from": "human",
"value": "<image>\nHow many traffic lights are hanging in the image?",
"jp": "画像の中に信号機がいくつぶら下がっていますか?"
},
{
"from": "gpt",
"value": "There are two traffic lights hanging in the image.",
"jp": "画像には信号機が2つぶら下がっています。"
},
{
"from": "human",
"value": "What color... |
Dataset Details
Dataset Type:
Japanese LLaVA v1.5 Instruct 620K is a localized version of part of the original LLaVA v1.5 Visual Instruct 655K dataset. This version is translated into Japanese using DeepL API and is aimed at serving similar purposes in the context of Japanese language.
Resources for More Information:
For information on the original dataset: LLaVA
License:
Attribution-NonCommercial 4.0 International (CC BY-NC-4.0)
The dataset should abide by the policy of OpenAI: OpenAI Terms of Use
Questions or Comments:
For questions or comments about the original model, you can go to LLaVA GitHub Issues.
Intended Use
Primary Intended Uses:
The primary use of this translated dataset is research on large multimodal models and chatbots in a Japanese context.
Primary Intended Users:
The primary intended users are researchers and hobbyists interested in computer vision, natural language processing, machine learning, and artificial intelligence, particularly those focusing on the Japanese language.
Note: This dataset is a translation of part of the original LLaVA-v1.5 Visual Instruct 655K, carried out using the DeepL API.
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