---
dataset_info:
  features:
  - name: boe_date_publication
    dtype: string
  - name: boe_previous
    dtype: string
  - name: boe_id
    dtype: string
  - name: boe_title
    dtype: string
  - name: boe_soup_xml
    dtype: string
  - name: tweet_date
    dtype: string
  - name: boe_text_cleaned
    dtype: string
  - name: tweet_original
    dtype: string
  - name: boe_alert
    sequence: string
  - name: boe_category
    dtype: string
  - name: boe_departament
    dtype: string
  - name: tweet_text_cleaned
    dtype: string
  - name: boe_subsequent
    dtype: string
  - name: boe_materials
    sequence: string
  - name: id
    dtype: int64
  splits:
  - name: train
    num_bytes: 179564763
    num_examples: 2867
  - name: validation
    num_bytes: 19448939
    num_examples: 392
  - name: test
    num_bytes: 22514340
    num_examples: 389
  download_size: 84283000
  dataset_size: 221528042
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
---
# BOE-XSUM Balanced Dataset - Reviewed and Cleaned  
## Description

The **BOE 2025 Dataset** is a collection of BOE articles with extreme summaries of them. This dataset has been carefully balanced and cleaned to ensure its quality and usefulness in natural language processing (NLP) tasks, primarily for evaluating generative models.

## Dataset Content

The dataset is composed of the following subsets (splits):

- `train`: Training data.  
- `validation`: Validation data.  
- `test`: Test data.

## Dataset Columns

The dataset contains the following fields:

- **id**: Unique identifier of the item.  
- **boe_materials**: A category identifier used by the BOE.  
- **boe_date_publication**: Publication date of the BOE article.  
- **boe_previous**: Previous BOE articles that are affected by this new BOE.  
- **boe_id**: Identifier of the BOE.  
- **boe_title**: Title of the BOE article.  
- **boe_soup_xml**: Fully scraped web page.  
- **tweet_original**: Original tweet by Eva Belmonte.  
- **boe_category**: Category to which this item belongs.  
- **boe_alert**: BOE classification codes in state areas.  
- **boe_departament**: Department from which the BOE article originates.  
- **tweet_text_cleaned**: Extreme summary generated from a meticulous review of Eva Belmonte's tweet.  
- **boe_subsequent**: Laws that are modified by this order (only for articles referring to legislation).