---
license: cc-by-sa-3.0
language:
- en
pretty_name: dataclysm-wikipedia-titles-lite
size_categories:
- 1M<n<10M
---

# somewheresystems/dataclysm-wikipedia

This dataset comprises of 6,458,670 English language Wikipedia articles, with an additional column added for title-embeddings using the bge-small-en-v1.5 embeddings model. The dataset was sourced here: https://huggingface.co/datasets/wikipedia/viewer/20220301.en

This dataset contains the full text of each Wikipedia article as of the date March 01, 2022. In comparison to somewheresystems/dataclysm-wikipedia-titles (68.93 GB), and the wikipedia-titles-lite dataset (49.72 GB), this entire dataset is only 16.32 GB uncompressed, which is 86.25% smaller and 63.18% smaller respectively.

# Embeddings Model

We used https://huggingface.co/BAAI/bge-small-en-v1.5 to embed the artcle `title` field. The purpose of using this model in particular was to leverage the ability to embed each title quickly while allowing for slightly more performant retrieval than `instruct-xl`.

# Why?

You can either load this entire dataset into a database and retrieve article text by similarity searches between queries and titles, link them to URLs and pull up-to-date articles, or pull the article text from March 01, 2022 from the dataset directly (included). For efficiency, we recommend dropping everything except the title, title embeddings, and URL to be able to quickly load and index information which can be used to efficiently pull the remaining information asynchronously via web.

# Citation Information
```
@ONLINE{wikidump,
    author = "Wikimedia Foundation",
    title  = "Wikimedia Downloads",
    url    = "https://dumps.wikimedia.org"
}
```

# Contributions
Thanks to @lewtun, @mariamabarham, @thomwolf, @lhoestq, @patrickvonplaten for adding the Wikipedia dataset in the first place.

## Contact

Please contact hi@dataclysm.xyz for inquiries.