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--- |
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configs: |
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data_files: |
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- split: train |
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path: fold0/train-* |
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path: fold0/validation-* |
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path: fold0/test-* |
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data_files: |
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path: fold1/train-* |
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path: fold1/validation-* |
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path: fold1/test-* |
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data_files: |
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path: fold2/train-* |
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path: fold2/validation-* |
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path: fold2/test-* |
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data_files: |
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- split: train |
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path: fold3/train-* |
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path: fold3/validation-* |
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path: fold3/test-* |
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data_files: |
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- split: train |
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path: fold4/train-* |
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- split: validation |
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path: fold4/validation-* |
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- split: test |
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path: fold4/test-* |
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- config_name: fold5 |
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data_files: |
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- split: train |
|
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path: fold5/train-* |
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- split: validation |
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path: fold5/validation-* |
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- split: test |
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path: fold5/test-* |
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- config_name: fold6 |
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data_files: |
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- split: train |
|
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path: fold6/train-* |
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- split: validation |
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path: fold6/validation-* |
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- split: test |
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path: fold6/test-* |
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- config_name: fold7 |
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data_files: |
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- split: train |
|
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path: fold7/train-* |
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- split: validation |
|
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path: fold7/validation-* |
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- split: test |
|
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path: fold7/test-* |
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- config_name: fold8 |
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data_files: |
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- split: train |
|
|
path: fold8/train-* |
|
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- split: validation |
|
|
path: fold8/validation-* |
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- split: test |
|
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path: fold8/test-* |
|
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- config_name: fold9 |
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data_files: |
|
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- split: train |
|
|
path: fold9/train-* |
|
|
- split: validation |
|
|
path: fold9/validation-* |
|
|
- split: test |
|
|
path: fold9/test-* |
|
|
task_categories: |
|
|
- text-classification |
|
|
language: |
|
|
- pt |
|
|
tags: |
|
|
- legal |
|
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- legislative |
|
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--- |
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# 🇧🇷 Brazilian Legislative Bills – Keyword Dataset |
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This dataset contains **keywords** of legislative bills proposed in the **Brazilian Chamber of Deputies (BCoD)** from **1991 to 2022**. |
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It is intended for **multi-label classification**, where each bill may be associated with one or more subject categories (*temas*). |
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🔀 This is the **keywords version** of the dataset. |
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If you are looking for the **summaries version**, see: |
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👉 [`ronunes/LegiSubject-Br-Keywords`](https://huggingface.co/datasets/ronunes/LegiSubject-Br-Summaries) |
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|
|
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--- |
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## 📁 Dataset Structure |
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|
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The dataset is organized into **10 stratified cross-validation folds** (`fold0` to `fold9`). |
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Each fold contains 3 standard splits: |
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- `train` |
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- `validation` |
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- `test` |
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|
|
Each split contains the following fields: |
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|
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| Column | Description | |
|
|
|-------------|--------------------------------------------------| |
|
|
| `id_API` | Unique identifier for the bill in the BCoD API | |
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| `keyword` | The keywords of the bill | |
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| `subject` | List of subject labels associated with the bill | |
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The task is to **predict the subject(s)** of a bill given its keywords. |
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- |
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## Usage |
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You can load each fold easily with the Hugging Face `datasets` library: |
|
|
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|
|
```python |
|
|
from datasets import load_dataset |
|
|
ds = load_dataset("ronunes/LegiSubject-Br-Summaries", name="fold0", split="train") |
