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metadata
dataset_info:
  - config_name: en
    features:
      - name: infobox
        dtype: string
      - name: categories
        sequence: string
      - name: text
        dtype: string
      - name: id
        dtype: int64
      - name: token_count
        dtype: int64
      - name: title
        dtype: string
      - name: url
        dtype: string
      - name: revdate
        dtype: timestamp[s]
      - name: entity
        dtype: string
    splits:
      - name: train
        num_bytes: 613631032
        num_examples: 84292
    download_size: 332108016
    dataset_size: 613631032
  - config_name: fr
    features:
      - name: infobox
        dtype: string
      - name: categories
        sequence: string
      - name: text
        dtype: string
      - name: id
        dtype: int64
      - name: token_count
        dtype: int64
      - name: title
        dtype: string
      - name: url
        dtype: string
      - name: revdate
        dtype: timestamp[s]
      - name: entity
        dtype: string
    splits:
      - name: train
        num_bytes: 163712407
        num_examples: 21597
    download_size: 84211004
    dataset_size: 163712407
configs:
  - config_name: en
    data_files:
      - split: train
        path: en/train-*
  - config_name: fr
    data_files:
      - split: train
        path: fr/train-*
language:
  - en
  - fr

Dataset Card for DragonLLM/Wikipedia-Finance-Articles

Dataset Summary

The Wikipedia-Finance-Articles dataset consists of finance-related Wikipedia articles and is an extract of DragonLLM/Clean-Wikipedia-English-Articles.

This financial dataset was obtained thanks to the Finance Document Classifier ClassiFin.

There are two subsets available, English containing 80k financial articles and French containing 20k.

Dataset Structure

Data Instances

Here is an example:

{
 'infobox': '',
 'categories': [ "Articles with short description", "Short description matches Wikidata", "Webarchive template wayback links",...],
 'text': '# Gold reserve A **gold reserve** is the gold held by a national central bank, intended mainly as a guarantee to redeem promises...',
 'id': 1056205,
 'token_count': 2192,
 'url': 'https://en.wikipedia.org/wiki/Gold_reserve',
 'title': 'Gold reserve',
 'revdate': 2025-02-19T17:19:23,
 'entity': 'Q1046879'
}

Data Fields

Each sample in the dataset includes the following fields:

  • infobox (str): Markdown formatted text content of the infobox (empty string if no infobox in article).
  • categories (list(str)): List of categories linked to the article.
  • text (str): Markdown formatted text content of the article without appendices.
  • id (int): ID of the article.
  • token_count (int): Number of tokens contained in the text field computed using Qwen/Qwen2.5-7B-Instruct tokenizer.
  • title (str): Title of the article.
  • url (str): URL of the article.
  • revdate (datetime): Revision date of the article.
  • entity (str): Wikidata QID linked to the article.

License

Copyright licensing information: https://dumps.wikimedia.org/legal.html

All original textual content is licensed under the GNU Free Documentation License (GFDL) and the Creative Commons Attribution-Share-Alike 3.0 License. Some text may be available only under the Creative Commons license; see their Terms of Use for details. Text written by some authors may be released under additional licenses or into the public domain.

@misc{ClassiFin, title={ClassiFin: Finance Document Classifier}, author={Liu, Jingshu and Qader, Raheel and Caillaut, Gaëtan and Nakhle, Mariam and Barthelemy, Jean-Gabriel and Sadoune, Arezki and Foly, Sabine}, url={https://huggingface.co/DragonLLM/ClassiFin}, year={2025} }

Citation

If you use this dataset in your research or projects, please cite it appropriately.

@misc{Wikipedia-Finance-Articles,
  title={Wikipedia-Finance-Articles},
  author={Foly, Sabine and Liu, Jingshu and Barthelemy, Jean-Gabriel and Caillaut, Gaëtan and Qader, Raheel and Nakhle, Mariam and Sadoune, Arezki},
  url={https://huggingface.co/datasets/DragonLLM/Wikipedia-Finance-Articles},
  year={2025}
}