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  1. .gitattributes +548 -0
  2. A_cc_en_sample.jsonl +3 -0
  3. README.md +52 -0
  4. book_all.0000.jsonl +3 -0
  5. book_all.0001.jsonl +3 -0
  6. book_all.0002.jsonl +3 -0
  7. book_all.0003.jsonl +3 -0
  8. book_all.0004.jsonl +3 -0
  9. book_all.0005.jsonl +3 -0
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  13. book_all.0009.jsonl +3 -0
  14. book_all.0010.jsonl +3 -0
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  17. book_biographies_of_characters.0001.jsonl +3 -0
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  19. book_biographies_of_characters.0003.jsonl +3 -0
  20. book_biographies_of_characters.0004.jsonl +3 -0
  21. book_biographies_of_characters.0005.jsonl +3 -0
  22. book_biographies_of_characters.0006.jsonl +3 -0
  23. book_biographies_of_characters.0007.jsonl +3 -0
  24. book_biographies_of_characters.0008.jsonl +3 -0
  25. book_biographies_of_characters.0009.jsonl +3 -0
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  27. book_education.0000.jsonl +3 -0
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  29. book_finance.0000.jsonl +3 -0
  30. book_finance.0001.jsonl +3 -0
  31. book_finance.0002.jsonl +3 -0
  32. book_history.0000.jsonl +3 -0
  33. book_history.0001.jsonl +3 -0
  34. book_law.0000.jsonl +3 -0
  35. book_law.0001.jsonl +3 -0
  36. book_law.0002.jsonl +3 -0
  37. book_law.0003.jsonl +3 -0
  38. book_math.0000.jsonl +3 -0
  39. book_math.0001.jsonl +3 -0
  40. book_math.0002.jsonl +3 -0
  41. book_math.0003.jsonl +3 -0
  42. book_math.0004.jsonl +3 -0
  43. book_medical.0000.jsonl +3 -0
  44. book_novel.0000.jsonl +3 -0
  45. book_reviews.0000.jsonl +3 -0
  46. book_science.0000.jsonl +3 -0
  47. book_technology.0000.jsonl +3 -0
  48. book_textbook.0000.jsonl +3 -0
  49. book_tutorial.0000.jsonl +3 -0
  50. book_work_report.0000.jsonl +3 -0
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README.md ADDED
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+ ---
2
+ license: apache-2.0
3
+ task_categories:
4
+ - text-generation
5
+ language:
6
+ - en
7
+ - zh
8
+ tags:
9
+ - language model
10
+ pretty_name: Matrix
11
+ size_categories:
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+ - n>1T
13
+ ---
14
+
15
+ # Matrix
16
+
17
+ An open-source pretraining dataset containing 4690 billion tokens, this bilingual dataset with both English and Chinese texts is used for training neo models.
18
+
19
+ ## Dataset Composition
20
+
21
+ 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:
22
+
23
+ <p>
24
+ <img src="https://cdn-uploads.huggingface.co/production/uploads/654907a4a1faff97850c4eff/1FWMF_t_Mhy0UQmu65Bb1.png" style="float: right; width: 400px; margin-left: 10px;">
25
+ <strong>Common Crawl</strong><br>
26
+ Extracts from the Common Crawl project, featuring a rich diversity of internet text including websites, blogs, news articles, and more.<br>
27
+
28
+ <strong>Code</strong><br>
29
+ A collection of coding-related data.<be>
30
+
31
+ <strong>Paper</strong><br>
32
+ Consists of academic and research papers covering a broad spectrum of disciplines, offering technical and domain-specific language.<br>
33
+
34
+ <strong>Book</strong><br>
35
+ Comprises texts from a range of published books, encompassing literature, non-fiction, textbooks, and more.<br>
36
+
37
+ <strong>Instruction</strong><br>
38
+ Features a collection of texts primarily in a Q&A format.<be>
39
+
40
+ <strong>Exam</strong><br>
41
+ Contains various educational materials and assessments used in academic examinations.<be>
42
+
43
+ <strong>News</strong><br>
44
+ A collection of texts from various journalistic sources, reporting on current events and news stories.<br>
45
+
46
+ <strong>Wiki</strong><br>
47
+ Articles from various encyclopedic sources, not limited to Wikipedia, covering a wide array of topics and information.<br>
48
+
49
+ <strong>Patent</strong><br>
50
+ Includes texts from patent documents, providing detailed descriptions of inventions and their applications.<br>
51
+
52
+ </p>
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