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
        - name: id_split
          dtype: int64
  splits:
    - name: train
      num_bytes: 1286294957
      num_examples: 109532
    - name: validation
      num_bytes: 135176571
      num_examples: 11538
    - name: test
      num_bytes: 154350330
      num_examples: 13183
  download_size: 426424485
  dataset_size: 1575821858
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) Each piece of text data is chunked into fewer than 4,096 tokens. Not chunked version is available HERE

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 10 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
  • "id_split": A non-negative integer indicating the number of this chunk.

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.

Data Chunking

• The tokeniser used for tokenising is llm-jp/llm-jp-3-1.8b
• Algorithm
  • If a file is less than 4,096 tokens, it is treated as a single chunk.
  • If it is 4,096 or more tokens, it is split at the last occurrence of a newline token within 4,096 tokens
  • The first half of the split is treated as a single chunk
  • The above is repeated for the second half of the split