Datasets:

ronunes
/

LegiSubject-Br-Keywords

dataset_info:
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configs:
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      - split: validation
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      - split: test
        path: fold0/test-*
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  - config_name: fold4
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      - split: validation
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      - split: validation
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        path: fold7/train-*
      - split: validation
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      - split: test
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    data_files:
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        path: fold8/train-*
      - split: validation
        path: fold8/validation-*
      - split: test
        path: fold8/test-*
  - config_name: fold9
    data_files:
      - split: train
        path: fold9/train-*
      - split: validation
        path: fold9/validation-*
      - split: test
        path: fold9/test-*
task_categories:
  - text-classification
language:
  - pt
tags:
  - legal
  - legislative

🇧🇷 Brazilian Legislative Bills – Keyword Dataset

This dataset contains keywords of legislative bills proposed in the Brazilian Chamber of Deputies (BCoD) from 1991 to 2022.
It is intended for multi-label classification, where each bill may be associated with one or more subject categories (temas).

🔀 This is the keywords version of the dataset.
If you are looking for the summaries version, see:
👉 ronunes/LegiSubject-Br-Keywords

📁 Dataset Structure

The dataset is organized into 10 stratified cross-validation folds (fold0 to fold9).
Each fold contains 3 standard splits:

train
validation
test

Each split contains the following fields:

Column	Description
`id_API`	Unique identifier for the bill in the BCoD API
`keyword`	The keywords of the bill
`subject`	List of subject labels associated with the bill

The task is to predict the subject(s) of a bill given its keywords.

Usage

You can load each fold easily with the Hugging Face datasets library:

from datasets import load_dataset
ds = load_dataset("ronunes/LegiSubject-Br-Summaries", name="fold0", split="train")