SimoOgni/wiki-bio

WikiBio (Wikipedia Biography Dataset) – HuggingFace Version

Dataset Overview

This repository hosts a processed version of the WikiBio dataset, originally introduced in the paper:

Neural Text Generation from Structured Data with Application to the Biography Domain Rémi Lebret, David Grangier, Michael Auli (EMNLP 2016)

The dataset contains 728,321 biographies extracted from English Wikipedia. Each example includes:

• the first paragraph of the Wikipedia biography
• the corresponding infobox structured data

The dataset is commonly used for table-to-text generation tasks.

Original Dataset Source

Original dataset repository: https://github.com/DavidGrangier/wikipedia-biography-dataset

Original authors:

• Rémi Lebret
• David Grangier
• Michael Auli

Original paper: https://arxiv.org/abs/1603.07771

License

This dataset is distributed under the:

Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)

https://creativecommons.org/licenses/by-sa/3.0/

Under this license you are free to:

• Share — copy and redistribute the dataset
• Adapt — remix, transform, and build upon the dataset

Under the following conditions:

• Attribution — appropriate credit must be given to the original authors
• ShareAlike — derivative datasets must be distributed under the same license

Changes From Original Dataset

This repository may include modifications such as:

• format conversion for Hugging Face Datasets
• preprocessing and cleaning
• restructuring for easier machine learning usage

These modifications do not change the original license.

Attribution

If you use this dataset in research, please cite the original paper:

@article{DBLP:journals/corr/LebretGA16,
  author = {R{\'{e}}mi Lebret and David Grangier and Michael Auli},
  title = {Neural Text Generation from Structured Data with Application to the Biography Domain},
  journal = {CoRR},
  volume = {abs/1603.07771},
  year = {2016}
}

Disclaimer

All credit for the dataset creation belongs to the original authors. This repository only provides a processed version for easier use with the Hugging Face ecosystem.