Datasets:
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:
Common Crawl
Extracts from the Common Crawl project, featuring a rich diversity of internet text including websites, blogs, news articles, and more.
Code
A collection of coding-related data.
Paper
Consists of academic and research papers covering a broad spectrum of disciplines, offering technical and domain-specific language.
Book
Comprises texts from a range of published books, encompassing literature, non-fiction, textbooks, and more.
Instruction
Features a collection of texts primarily in a Q&A format.
Exam
Contains various educational materials and assessments used in academic examinations.
News
A collection of texts from various journalistic sources, reporting on current events and news stories.
Wiki
Articles from various encyclopedic sources, not limited to Wikipedia, covering a wide array of topics and information.
Patent
Includes texts from patent documents, providing detailed descriptions of inventions and their applications.