Datasets:

Silviase
/

JPMultiCharRecog

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

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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 image
label: "positive" (real word) or "negative" (shuffled)
is_real_word: Boolean indicating if it's a real word
pair_id: Links positive/negative pairs
category: 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.

Downloads last month: 23

Size of downloaded dataset files:

10.1 MB

Size of the auto-converted Parquet files:

10.1 MB

Number of rows:

2,000