| --- |
| dataset_info: |
| - config_name: fold0 |
| features: |
| - name: id_API |
| dtype: string |
| - name: keywords |
| dtype: string |
| - name: subject |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 28136091 |
| num_examples: 90445 |
| - name: validation |
| num_bytes: 3105346 |
| num_examples: 10077 |
| - name: test |
| num_bytes: 3476197 |
| num_examples: 11144 |
| download_size: 13533837 |
| dataset_size: 34717634 |
| - config_name: fold1 |
| features: |
| - name: id_API |
| dtype: string |
| - name: keywords |
| dtype: string |
| - name: subject |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 28123955 |
| num_examples: 90383 |
| - name: validation |
| num_bytes: 3116930 |
| num_examples: 10011 |
| - name: test |
| num_bytes: 3476749 |
| num_examples: 11272 |
| download_size: 13516509 |
| dataset_size: 34717634 |
| - config_name: fold2 |
| features: |
| - name: id_API |
| dtype: string |
| - name: keywords |
| dtype: string |
| - name: subject |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 28088273 |
| num_examples: 90411 |
| - name: validation |
| num_bytes: 3119941 |
| num_examples: 10065 |
| - name: test |
| num_bytes: 3509420 |
| num_examples: 11190 |
| download_size: 13528102 |
| dataset_size: 34717634 |
| - config_name: fold3 |
| features: |
| - name: id_API |
| dtype: string |
| - name: keywords |
| dtype: string |
| - name: subject |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 28073320 |
| num_examples: 90414 |
| - name: validation |
| num_bytes: 3110164 |
| num_examples: 10058 |
| - name: test |
| num_bytes: 3534150 |
| num_examples: 11194 |
| download_size: 13529652 |
| dataset_size: 34717634 |
| - config_name: fold4 |
| features: |
| - name: id_API |
| dtype: string |
| - name: keywords |
| dtype: string |
| - name: subject |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 28145402 |
| num_examples: 90493 |
| - name: validation |
| num_bytes: 3133109 |
| num_examples: 10067 |
| - name: test |
| num_bytes: 3439123 |
| num_examples: 11106 |
| download_size: 13539827 |
| dataset_size: 34717634 |
| - config_name: fold5 |
| features: |
| - name: id_API |
| dtype: string |
| - name: keywords |
| dtype: string |
| - name: subject |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 28143587 |
| num_examples: 90433 |
| - name: validation |
| num_bytes: 3118559 |
| num_examples: 10079 |
| - name: test |
| num_bytes: 3455488 |
| num_examples: 11154 |
| download_size: 13529536 |
| dataset_size: 34717634 |
| - config_name: fold6 |
| features: |
| - name: id_API |
| dtype: string |
| - name: keywords |
| dtype: string |
| - name: subject |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 28154714 |
| num_examples: 90542 |
| - name: validation |
| num_bytes: 3108393 |
| num_examples: 10004 |
| - name: test |
| num_bytes: 3454527 |
| num_examples: 11120 |
| download_size: 13536742 |
| dataset_size: 34717634 |
| - config_name: fold7 |
| features: |
| - name: id_API |
| dtype: string |
| - name: keywords |
| dtype: string |
| - name: subject |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 28131784 |
| num_examples: 90473 |
| - name: validation |
| num_bytes: 3097436 |
| num_examples: 9963 |
| - name: test |
| num_bytes: 3488414 |
| num_examples: 11230 |
| download_size: 13530745 |
| dataset_size: 34717634 |
| - config_name: fold8 |
| features: |
| - name: id_API |
| dtype: string |
| - name: keywords |
| dtype: string |
| - name: subject |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 28152712 |
| num_examples: 90542 |
| - name: validation |
| num_bytes: 3137094 |
| num_examples: 10016 |
| - name: test |
| num_bytes: 3427828 |
| num_examples: 11108 |
| download_size: 13555561 |
| dataset_size: 34717634 |
| - config_name: fold9 |
| features: |
| - name: id_API |
| dtype: string |
| - name: keywords |
| dtype: string |
| - name: subject |
| sequence: string |
| splits: |
| - name: train |
| num_bytes: 28137348 |
| num_examples: 90448 |
| - name: validation |
| num_bytes: 3124548 |
| num_examples: 10070 |
| - name: test |
| num_bytes: 3455738 |
| num_examples: 11148 |
| download_size: 13551758 |
| dataset_size: 34717634 |
| configs: |
| - config_name: fold0 |
| data_files: |
| - split: train |
| path: fold0/train-* |
| - split: validation |
| path: fold0/validation-* |
| - split: test |
| path: fold0/test-* |
| - config_name: fold1 |
| data_files: |
| - split: train |
| path: fold1/train-* |
| - split: validation |
| path: fold1/validation-* |
| - split: test |
| path: fold1/test-* |
| - config_name: fold2 |
| data_files: |
| - split: train |
| path: fold2/train-* |
| - split: validation |
| path: fold2/validation-* |
| - split: test |
| path: fold2/test-* |
| - config_name: fold3 |
| data_files: |
| - split: train |
| path: fold3/train-* |
| - split: validation |
| path: fold3/validation-* |
| - split: test |
| path: fold3/test-* |
| - config_name: fold4 |
| data_files: |
| - split: train |
| path: fold4/train-* |
| - split: validation |
| path: fold4/validation-* |
| - split: test |
| path: fold4/test-* |
| - config_name: fold5 |
| data_files: |
| - split: train |
| path: fold5/train-* |
| - split: validation |
| path: fold5/validation-* |
| - split: test |
| path: fold5/test-* |
| - config_name: fold6 |
| data_files: |
| - split: train |
| path: fold6/train-* |
| - split: validation |
| path: fold6/validation-* |
| - split: test |
| path: fold6/test-* |
| - config_name: fold7 |
| data_files: |
| - split: train |
| path: fold7/train-* |
| - split: validation |
| path: fold7/validation-* |
| - split: test |
| path: fold7/test-* |
| - config_name: fold8 |
| data_files: |
| - split: train |
| 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`](https://huggingface.co/datasets/ronunes/LegiSubject-Br-Summaries) |
|
|
| --- |
|
|
| ## 📁 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: |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("ronunes/LegiSubject-Br-Summaries", name="fold0", split="train") |
