---
license: apache-2.0
task_categories:
- text-generation
language:
- en
- zh
tags:
- language model
pretty_name: Matrix
size_categories:
- n>1T
---

# Matrix

An open-source pretraining dataset containing 4690 billion tokens, this bilingual dataset with both English and Chinese texts is used for training neo models.

## Dataset Composition

The dataset consists of several components, each originating from different sources and serving various purposes in language modeling and processing. Below is a brief overview of each component:

<p>
  <img src="https://cdn-uploads.huggingface.co/production/uploads/654907a4a1faff97850c4eff/1FWMF_t_Mhy0UQmu65Bb1.png" style="float: right; width: 400px; margin-left: 10px;">
  <strong>Common Crawl</strong><br>
  Extracts from the Common Crawl project, featuring a rich diversity of internet text including websites, blogs, news articles, and more.<br>

  <strong>Code</strong><br>
  A collection of coding-related data.<be>

  <strong>Paper</strong><br>
  Consists of academic and research papers covering a broad spectrum of disciplines, offering technical and domain-specific language.<br>

  <strong>Book</strong><br>
  Comprises texts from a range of published books, encompassing literature, non-fiction, textbooks, and more.<br>

  <strong>Instruction</strong><br>
  Features a collection of texts primarily in a Q&A format.<be>

  <strong>Exam</strong><br>
  Contains various educational materials and assessments used in academic examinations.<be>
  
  <strong>News</strong><br>
  A collection of texts from various journalistic sources, reporting on current events and news stories.<br>
  
  <strong>Wiki</strong><br>
  Articles from various encyclopedic sources, not limited to Wikipedia, covering a wide array of topics and information.<br>
  
  <strong>Patent</strong><br>
  Includes texts from patent documents, providing detailed descriptions of inventions and their applications.<br>

</p>