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37
output
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259
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5 values
count
int64
1
259
よわぶくも
[ "弱含も" ]
mozc
1
よわぶくん
[ "弱含ん" ]
mozc
1
らぐっ
[ "ラグっ" ]
mozc
1
らぐら
[ "ラグら" ]
mozc
1
らぐり
[ "ラグり", "ラグリ" ]
mozc
2
らぐりゃ
[ "ラグりゃ" ]
mozc
1
らぐる
[ "ラグる" ]
mozc
1
らぐれ
[ "ラグれ" ]
mozc
1
らぐろ
[ "ラグろ" ]
mozc
1
らぐん
[ "ラグん" ]
mozc
1
らすっ
[ "ラスっ" ]
mozc
1
らすら
[ "ラスら" ]
mozc
1
らすり
[ "ラスり" ]
mozc
1
らすりゃ
[ "ラスりゃ" ]
mozc
1
らする
[ "ラスる" ]
mozc
1
らすれ
[ "ラスれ" ]
mozc
1
らすろ
[ "ラスろ" ]
mozc
1
らすん
[ "ラスん" ]
mozc
1
らちら
[ "拉致ら" ]
mozc
1
らちり
[ "拉致り" ]
mozc
1
らちる
[ "拉致る" ]
mozc
1
らちれ
[ "拉致れ" ]
mozc
1
らちろ
[ "拉致ろ" ]
mozc
1
らちん
[ "拉致ん" ]
mozc
1
らぶっ
[ "ラブっ" ]
mozc
1
らぶら
[ "ラブラ", "ラブら" ]
mozc
2
らぶり
[ "ラブリ", "ラブり" ]
mozc
2
らぶりゃ
[ "ラブりゃ" ]
mozc
1
らぶる
[ "ラブる", "ラブル" ]
mozc
2
らぶろ
[ "ラブロ", "ラブろ" ]
mozc
2
らぶん
[ "ラブん" ]
mozc
1
らりっ
[ "ラリっ" ]
mozc
1
らりら
[ "ラリら" ]
mozc
1
らりり
[ "ラリり" ]
mozc
1
らりりゃ
[ "ラリりゃ" ]
mozc
1
らりる
[ "ラリる" ]
mozc
1
らりれ
[ "ラリれ" ]
mozc
1
らりろ
[ "ラリろ" ]
mozc
1
らりん
[ "ラリん", "ラリン" ]
mozc
2
りかばっ
[ "リカバっ" ]
mozc
1
りかばら
[ "リカバら" ]
mozc
1
りかばり
[ "リカバリ", "リカバり" ]
mozc
2
りかばりゃ
[ "リカバりゃ" ]
mozc
1
りかばる
[ "リカバる" ]
mozc
1
りかばれ
[ "リカバれ" ]
mozc
1
りかばろ
[ "リカバろ" ]
mozc
1
りかばん
[ "リカバん" ]
mozc
1
りにゅっ
[ "リニュっ" ]
mozc
1
りにゅら
[ "リニュら" ]
mozc
1
りにゅり
[ "リニュり" ]
mozc
1
りにゅりゃ
[ "リニュりゃ" ]
mozc
1
りにゅる
[ "リニュる" ]
mozc
1
りにゅれ
[ "リニュれ" ]
mozc
1
りにゅろ
[ "リニュろ" ]
mozc
1
りにゅん
[ "リニュん" ]
mozc
1
りばっ
[ "リバっ" ]
mozc
1
りばら
[ "リバら" ]
mozc
1
りばり
[ "リバり" ]
mozc
1
りばりゃ
[ "リバりゃ" ]
mozc
1
りばる
[ "リバる", "リバル", "リヴァル" ]
mozc
3
りばれ
[ "リバれ" ]
mozc
1
りばろ
[ "リバろ", "リバロ" ]
mozc
2
りばん
[ "リバん" ]
mozc
1
りぴっ
[ "リピっ" ]
mozc
1
りぴら
[ "リピら" ]
mozc
1
りぴり
[ "リピり" ]
mozc
1
りぴりゃ
[ "リピりゃ" ]
mozc
1
りぴる
[ "リピる" ]
mozc
1
りぴれ
[ "リピれ" ]
mozc
1
りぴろ
[ "リピろ" ]
mozc
1
りぴん
[ "リピん", "麗萍", "リピン" ]
mozc
3
りむっ
[ "リムっ" ]
mozc
1
りむら
[ "リムら", "李村" ]
mozc
2
りむり
[ "リムり" ]
mozc
1
りむりゃ
[ "リムりゃ" ]
mozc
1
りむる
[ "リムル", "リムる" ]
mozc
2
りむれ
[ "リムれ" ]
mozc
1
りむろ
[ "リムろ" ]
mozc
1
りむん
[ "リムん" ]
mozc
1
れじっ
[ "レジっ" ]
mozc
1
れじら
[ "レジら" ]
mozc
1
れじり
[ "レジり" ]
mozc
1
れじりゃ
[ "レジりゃ" ]
mozc
1
れじる
[ "レジる", "レジル" ]
mozc
2
れじれ
[ "レジれ" ]
mozc
1
れじろ
[ "レジろ" ]
mozc
1
れじん
[ "レジン", "レジん" ]
mozc
2
れすっ
[ "レスっ" ]
mozc
1
れすら
[ "レスら", "レスラ" ]
mozc
2
れすり
[ "レスり" ]
mozc
1
れすりゃ
[ "レスりゃ" ]
mozc
1
れする
[ "レスる" ]
mozc
1
れすれ
[ "レスれ" ]
mozc
1
れすろ
[ "レスろ" ]
mozc
1
れすん
[ "レスん" ]
mozc
1
れぽっ
[ "レポっ" ]
mozc
1
れぽら
[ "レポら" ]
mozc
1
れぽり
[ "レポり" ]
mozc
1
れぽりゃ
[ "レポりゃ" ]
mozc
1
れぽる
[ "レポる" ]
mozc
1
End of preview. Expand in Data Studio

kana-kanji-pairs

Japanese kana-to-kanji conversion candidate dataset.

Overview

Metric Value
Total pairs 1,124,675
File size ~112MB
Format JSONL

Candidate Distribution

Candidates Entries %
n>=2 363,708 32.3%
n>=5 40,929 3.6%
n>=10 9,401 0.8%
n>=20 2,448 0.2%
n>=100 34 <0.1%
max 259 -

Data Sources

Source Entries Description
mozc 753,628 Google mozc dictionary
jmdict 221,228 JMdict Japanese-Multilingual Dictionary
wikipedia_mecab 94,938 Wikipedia text analyzed with MeCab+UniDic
sudachi 30,937 SudachiDict core vocabulary
wikipedia_ruby 23,944 Wikipedia ruby annotations

Data Format

Main dataset (data/train.jsonl)

{
  "input": "かがく",
  "output": ["科学", "化学", "下顎", "価額"],
  "source": "wikipedia_mecab",
  "count": 4
}

Wikipedia dataset (wikipedia/*.jsonl)

{
  "input": "かがく",
  "output": ["科学", "化学", "下顎", "価額"],
  "source": "wikipedia_mecab",
  "count": 4,
  "frequencies": {"科学": 303774, "化学": 122431, ...}
}

Fields

Field Description
input Reading (hiragana, may include ・ゔヽヾゝゞ)
output Conversion candidates (ordered by frequency)
source Data source identifier
count Number of candidates
frequencies Occurrence counts (wikipedia/*.jsonl only)

Files

data/
└── train.jsonl              # Full dataset (1,124,675 entries)
wikipedia/
├── mecab.jsonl              # Wikipedia MeCab with frequencies (94,938 entries)
└── ruby.jsonl               # Wikipedia Ruby with frequencies (23,944 entries)
old/
└── mozc_n10_20260102.jsonl  # Legacy mozc-only data (753,628 entries, n<=10)

Usage

from datasets import load_dataset

# Load full dataset
dataset = load_dataset("katsukiono/kana-kanji-pairs")

# Filter by source
mozc_data = [x for x in dataset["train"] if x["source"] == "mozc"]
wiki_data = [x for x in dataset["train"] if x["source"].startswith("wikipedia")]

# Load Wikipedia with frequencies
wiki_mecab = load_dataset("katsukiono/kana-kanji-pairs", data_files="wikipedia/mecab.jsonl")

Licenses

This dataset combines data from multiple sources with different licenses:

Source License
mozc BSD 3-Clause
jmdict CC BY-SA 4.0
sudachi Apache 2.0
wikipedia_mecab CC BY-SA 4.0
wikipedia_ruby CC BY-SA 4.0

See licenses/ directory for full license texts.

Terms of Use

  • Attribution required for CC BY-SA sources
  • Include copyright notices for BSD/Apache sources
  • ShareAlike: derivatives of CC BY-SA content must use same license

Source Repositories

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