metadata
language:
- ja
tags:
- japanese
- kanji
- educational-grades
- jlpt
- joyo
- character-classification
task_categories:
- text-classification
size_categories:
- 1K<n<10K
license: mit
configs:
- config_name: default
data_files:
- split: train
path: japanese_character_difficulty.csv
dataset_info:
features:
- name: character
dtype: string
- name: grade
dtype: int64
splits:
- name: train
num_examples: 3003
Japanese Character Difficulty Dataset
A comprehensive dataset of 3,003 Japanese kanji characters with their educational difficulty grades, sourced from official Japanese educational standards and kanjiapi.dev.
Dataset Overview
- Total Characters: 3,003 kanji
- Source: Japanese Ministry of Education (MEXT) Joyo Kanji list + kanjiapi.dev
- Coverage: Elementary grades 1-6, plus secondary education and advanced characters
- Format: Character-grade pairs for easy lookup and analysis
Grade System
The dataset uses the Japanese educational grade system:
- Grades 1-6: Elementary school kanji (Joyo Kanji for primary education)
- Grade 8: Secondary school kanji (middle/high school level)
- Grade 9: Advanced kanji (beyond standard education, JLPT levels, Jinmeiyō kanji)
Grade Distribution
| Grade | Count | Description |
|---|---|---|
| 1 | 80 | First grade elementary |
| 2 | 160 | Second grade elementary |
| 3 | 200 | Third grade elementary |
| 4 | 200 | Fourth grade elementary |
| 5 | 185 | Fifth grade elementary |
| 6 | 181 | Sixth grade elementary |
| 8 | 1,134 | Secondary school level |
| 9 | 863 | Advanced/specialized characters |
Usage Examples
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("ronantakizawa/japanese-character-difficulty")
df = dataset['train'].to_pandas()
# Find elementary school kanji (grades 1-6)
elementary_kanji = df[df['grade'] <= 6]
print(f"Elementary kanji count: {len(elementary_kanji)}")
# Get all grade 1 kanji
grade1_kanji = df[df['grade'] == 1]['character'].tolist()
print(f"Grade 1 kanji: {''.join(grade1_kanji)}")
# Check difficulty of a specific character
char_grade = df[df['character'] == '漢']['grade'].iloc[0]
print(f"漢 is grade {char_grade}")
Applications
- Language Learning: Curriculum design and progression planning
- Text Analysis: Automatic difficulty assessment of Japanese texts
- Educational Tools: Kanji learning applications and games
- Research: Japanese language complexity studies
Data Quality
- Sourced from official Japanese educational standards
- Cross-referenced with kanjiapi.dev comprehensive database
- Includes both Joyo (常用) and Jinmeiyō (人名用) kanji
- Covers JLPT levels N5-N1 characters
Related Datasets
- Japanese Text Difficulty Dataset - Full text analysis using this character data