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--- |
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license: apache-2.0 |
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task_categories: |
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- text-generation |
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language: |
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- en |
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- zh |
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tags: |
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- language model |
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pretty_name: Matrix |
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size_categories: |
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- n>1T |
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--- |
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# Matrix |
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An open-source pretraining dataset containing 4690 billion tokens, this bilingual dataset with both English and Chinese texts is used for training neo models. |
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## Dataset Composition |
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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: |
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<p> |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/654907a4a1faff97850c4eff/1FWMF_t_Mhy0UQmu65Bb1.png" style="float: right; width: 400px; margin-left: 10px;"> |
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<strong>Common Crawl</strong><br> |
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Extracts from the Common Crawl project, featuring a rich diversity of internet text including websites, blogs, news articles, and more.<br> |
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<strong>Code</strong><br> |
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A collection of coding-related data.<be> |
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<strong>Paper</strong><br> |
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Consists of academic and research papers covering a broad spectrum of disciplines, offering technical and domain-specific language.<br> |
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<strong>Book</strong><br> |
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Comprises texts from a range of published books, encompassing literature, non-fiction, textbooks, and more.<br> |
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<strong>Instruction</strong><br> |
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Features a collection of texts primarily in a Q&A format.<be> |
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<strong>Exam</strong><br> |
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Contains various educational materials and assessments used in academic examinations.<be> |
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<strong>News</strong><br> |
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A collection of texts from various journalistic sources, reporting on current events and news stories.<br> |
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<strong>Wiki</strong><br> |
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Articles from various encyclopedic sources, not limited to Wikipedia, covering a wide array of topics and information.<br> |
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<strong>Patent</strong><br> |
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Includes texts from patent documents, providing detailed descriptions of inventions and their applications.<br> |
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</p> |
