Dataset Viewer
image
imagewidth (px) 224
224
| text
stringlengths 2
6
| label
stringclasses 2
values | is_real_word
bool 2
classes | pair_id
stringlengths 9
9
| category
stringclasses 4
values | char_count
int32 2
6
|
---|---|---|---|---|---|---|
囚人
|
positive
| true |
pair_0000
|
K-K
| 2 |
|
人囚
|
negative
| false |
pair_0000
|
K-K
| 2 |
|
戦艦
|
positive
| true |
pair_0001
|
K-K
| 2 |
|
艦戦
|
negative
| false |
pair_0001
|
K-K
| 2 |
|
付随
|
positive
| true |
pair_0002
|
K-K
| 2 |
|
随付
|
negative
| false |
pair_0002
|
K-K
| 2 |
|
癌腫
|
positive
| true |
pair_0003
|
K-K
| 2 |
|
腫癌
|
negative
| false |
pair_0003
|
K-K
| 2 |
|
外題
|
positive
| true |
pair_0004
|
K-K
| 2 |
|
題外
|
negative
| false |
pair_0004
|
K-K
| 2 |
|
果報
|
positive
| true |
pair_0005
|
K-K
| 2 |
|
果報
|
negative
| false |
pair_0005
|
K-K
| 2 |
|
試料
|
positive
| true |
pair_0006
|
K-K
| 2 |
|
料試
|
negative
| false |
pair_0006
|
K-K
| 2 |
|
遊惰
|
positive
| true |
pair_0007
|
K-K
| 2 |
|
惰遊
|
negative
| false |
pair_0007
|
K-K
| 2 |
|
壮語
|
positive
| true |
pair_0008
|
K-K
| 2 |
|
語壮
|
negative
| false |
pair_0008
|
K-K
| 2 |
|
意志
|
positive
| true |
pair_0009
|
K-K
| 2 |
|
志意
|
negative
| false |
pair_0009
|
K-K
| 2 |
|
曲節
|
positive
| true |
pair_0010
|
K-K
| 2 |
|
節曲
|
negative
| false |
pair_0010
|
K-K
| 2 |
|
長期
|
positive
| true |
pair_0011
|
K-K
| 2 |
|
期長
|
negative
| false |
pair_0011
|
K-K
| 2 |
|
善徳
|
positive
| true |
pair_0012
|
K-K
| 2 |
|
徳善
|
negative
| false |
pair_0012
|
K-K
| 2 |
|
倒立
|
positive
| true |
pair_0013
|
K-K
| 2 |
|
立倒
|
negative
| false |
pair_0013
|
K-K
| 2 |
|
抽斗
|
positive
| true |
pair_0014
|
K-K
| 2 |
|
斗抽
|
negative
| false |
pair_0014
|
K-K
| 2 |
|
出費
|
positive
| true |
pair_0015
|
K-K
| 2 |
|
費出
|
negative
| false |
pair_0015
|
K-K
| 2 |
|
註釈
|
positive
| true |
pair_0016
|
K-K
| 2 |
|
釈註
|
negative
| false |
pair_0016
|
K-K
| 2 |
|
翠色
|
positive
| true |
pair_0017
|
K-K
| 2 |
|
色翠
|
negative
| false |
pair_0017
|
K-K
| 2 |
|
要言
|
positive
| true |
pair_0018
|
K-K
| 2 |
|
言要
|
negative
| false |
pair_0018
|
K-K
| 2 |
|
科目
|
positive
| true |
pair_0019
|
K-K
| 2 |
|
目科
|
negative
| false |
pair_0019
|
K-K
| 2 |
|
疾走
|
positive
| true |
pair_0020
|
K-K
| 2 |
|
走疾
|
negative
| false |
pair_0020
|
K-K
| 2 |
|
忠魂
|
positive
| true |
pair_0021
|
K-K
| 2 |
|
魂忠
|
negative
| false |
pair_0021
|
K-K
| 2 |
|
製靴
|
positive
| true |
pair_0022
|
K-K
| 2 |
|
靴製
|
negative
| false |
pair_0022
|
K-K
| 2 |
|
宿六
|
positive
| true |
pair_0023
|
K-K
| 2 |
|
六宿
|
negative
| false |
pair_0023
|
K-K
| 2 |
|
時期
|
positive
| true |
pair_0024
|
K-K
| 2 |
|
期時
|
negative
| false |
pair_0024
|
K-K
| 2 |
|
畜殺
|
positive
| true |
pair_0025
|
K-K
| 2 |
|
殺畜
|
negative
| false |
pair_0025
|
K-K
| 2 |
|
加味
|
positive
| true |
pair_0026
|
K-K
| 2 |
|
味加
|
negative
| false |
pair_0026
|
K-K
| 2 |
|
勉強
|
positive
| true |
pair_0027
|
K-K
| 2 |
|
強勉
|
negative
| false |
pair_0027
|
K-K
| 2 |
|
有情
|
positive
| true |
pair_0028
|
K-K
| 2 |
|
情有
|
negative
| false |
pair_0028
|
K-K
| 2 |
|
鞏膜
|
positive
| true |
pair_0029
|
K-K
| 2 |
|
膜鞏
|
negative
| false |
pair_0029
|
K-K
| 2 |
|
糞便
|
positive
| true |
pair_0030
|
K-K
| 2 |
|
便糞
|
negative
| false |
pair_0030
|
K-K
| 2 |
|
矢印
|
positive
| true |
pair_0031
|
K-K
| 2 |
|
印矢
|
negative
| false |
pair_0031
|
K-K
| 2 |
|
全盛
|
positive
| true |
pair_0032
|
K-K
| 2 |
|
盛全
|
negative
| false |
pair_0032
|
K-K
| 2 |
|
梟雄
|
positive
| true |
pair_0033
|
K-K
| 2 |
|
雄梟
|
negative
| false |
pair_0033
|
K-K
| 2 |
|
武臣
|
positive
| true |
pair_0034
|
K-K
| 2 |
|
臣武
|
negative
| false |
pair_0034
|
K-K
| 2 |
|
歳次
|
positive
| true |
pair_0035
|
K-K
| 2 |
|
次歳
|
negative
| false |
pair_0035
|
K-K
| 2 |
|
注入
|
positive
| true |
pair_0036
|
K-K
| 2 |
|
入注
|
negative
| false |
pair_0036
|
K-K
| 2 |
|
爆燃
|
positive
| true |
pair_0037
|
K-K
| 2 |
|
燃爆
|
negative
| false |
pair_0037
|
K-K
| 2 |
|
猛威
|
positive
| true |
pair_0038
|
K-K
| 2 |
|
威猛
|
negative
| false |
pair_0038
|
K-K
| 2 |
|
心肝
|
positive
| true |
pair_0039
|
K-K
| 2 |
|
肝心
|
negative
| false |
pair_0039
|
K-K
| 2 |
|
悲劇
|
positive
| true |
pair_0040
|
K-K
| 2 |
|
劇悲
|
negative
| false |
pair_0040
|
K-K
| 2 |
|
嫡男
|
positive
| true |
pair_0041
|
K-K
| 2 |
|
男嫡
|
negative
| false |
pair_0041
|
K-K
| 2 |
|
内臓
|
positive
| true |
pair_0042
|
K-K
| 2 |
|
臓内
|
negative
| false |
pair_0042
|
K-K
| 2 |
|
騒動
|
positive
| true |
pair_0043
|
K-K
| 2 |
|
動騒
|
negative
| false |
pair_0043
|
K-K
| 2 |
|
鉄蹄
|
positive
| true |
pair_0044
|
K-K
| 2 |
|
蹄鉄
|
negative
| false |
pair_0044
|
K-K
| 2 |
|
雲母
|
positive
| true |
pair_0045
|
K-K
| 2 |
|
母雲
|
negative
| false |
pair_0045
|
K-K
| 2 |
|
引換
|
positive
| true |
pair_0046
|
K-K
| 2 |
|
換引
|
negative
| false |
pair_0046
|
K-K
| 2 |
|
苦悶
|
positive
| true |
pair_0047
|
K-K
| 2 |
|
悶苦
|
negative
| false |
pair_0047
|
K-K
| 2 |
|
火刑
|
positive
| true |
pair_0048
|
K-K
| 2 |
|
刑火
|
negative
| false |
pair_0048
|
K-K
| 2 |
|
後生
|
positive
| true |
pair_0049
|
K-K
| 2 |
|
生後
|
negative
| false |
pair_0049
|
K-K
| 2 |
End of preview. Expand
in Data Studio
Japanese Multi-Character Recognition Dataset
Dataset Description
This dataset is designed to evaluate Vision-Language Models (VLMs) on their ability to distinguish between meaningful Japanese words and meaningless character sequences. It contains 2,000 images of Japanese text (1,000 positive/negative pairs).
Dataset Summary
- Total Samples: 2,000 (1,000 pairs)
- Categories:
- K-K: 2-character Kanji compounds (250 pairs)
- K+H: Kanji + Hiragana combinations (250 pairs)
- H-only: Pure Hiragana words (250 pairs)
- T-only: Pure Katakana words (250 pairs)
- Task: Binary classification (real word vs. shuffled non-word)
- Image Size: 224x224 pixels
- Font: Japanese Gothic (NotoSansCJK or similar)
Dataset Structure
Each example contains:
image
: The rendered text image (PIL Image)text
: The text shown in the imagelabel
: "positive" (real word) or "negative" (shuffled)is_real_word
: Boolean indicating if it's a real wordpair_id
: Links positive/negative pairscategory
: One of ["K-K", "K+H", "H-only", "T-only"]char_count
: Number of characters in the text
Usage
from datasets import load_dataset
dataset = load_dataset("Silviase/JPMultiCharRecog")
# Example
print(dataset['train'][0])
# {
# 'image': <PIL.Image>,
# 'text': '学校',
# 'label': 'positive',
# 'is_real_word': True,
# 'pair_id': 'pair_0001',
# 'category': 'K-K',
# 'char_count': 2
# }
Evaluation
The dataset is designed for OCR evaluation of Japanese text recognition capabilities in Vision-Language Models.
License
This dataset is released under the MIT License.
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