README.md

metadata

dataset_info:
  features:
    - name: text
      dtype: string
    - name: metadata
      struct:
        - name: Era
          dtype: string
        - name: Lang
          dtype: string
        - name: LawType
          dtype: string
        - name: Num
          dtype: int64
        - name: Year
          dtype: int64
        - name: PromulgateMonth
          dtype: int64
        - name: PromulgateDay
          dtype: int64
        - name: LawNum
          dtype: string
        - name: category_id
          dtype: int64
  splits:
    - name: train
      num_bytes: 1273777352
      num_examples: 9075
    - name: validation
      num_bytes: 133887591
      num_examples: 1135
    - name: test
      num_bytes: 152845900
      num_examples: 1137
  download_size: 432536600
  dataset_size: 1560510843
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
license: cc-by-4.0
language:
  - ja
tags:
  - legal

Abstract

This is the Japapnese law dataset obtained from e-Gov (Date of download: Oct. 20th, 2024)

Data Format

Each data is consist of 2 fields, "text" and "metadata".

• "text" fields contains the legal texts, which are expected to be mainly used.
• "metadata" fields contains additional information including 9 subfields below:
  • "Era": The Japanese Era when the law is promulgated such as "Showa".
  • "Lang": The language the text is written in. All of them are Japanese.
  • "LawType": The type of the law including types below.
    • "Constitution"
    • "Act"
    • "CabinetOrder"
    • "ImperialOrder"
    • "MinisterialOrdinance"
    • "Rule"
    • "Misc"
  • "Year": The year when the law is promulgated.
  • "PromulgateMonth/Day": The Month/Day when the law is promulgated.
  • "LawNum": The string of the (numeric) name of the law.
  • "category_id": The integer representing the category where the law is categorized. The categories is found in category.json

Data Split

This dataset has 3 split, train, validation and test. The data is split randomly but preserving the original distribution of the categories. The ratio is 8:1:1.