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ronunes/LegiSubject-Br-Summaries

🇧🇷 Brazilian Legislative Bills – Summary Dataset This dataset contains summaries (ementas) 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 summary version of the dataset.If you are looking for the keywords version, see:👉 ronunes/LegiSubject-Br-Keywords 📁 Dataset Structure The… See the full description on the dataset page: https://huggingface.co/datasets/ronunes/LegiSubject-Br-Summaries.

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Dataset Card

🇧🇷 Brazilian Legislative Bills – Summary Dataset

This dataset contains summaries (ementas) 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 summary version of the dataset. If you are looking for the keywords 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:

ColumnDescription
id_APIUnique identifier for the bill in the BCoD API
summaryThe summary of the bill (originally ementa)
subjectList of subject labels associated with the bill

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

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Usage

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

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