Hugging Face's logo

Datasets:
datajuicer
/
redpajama-cc-2023-06-refined-by-data-juicer

Tasks:
Text Generation
Modalities:
Tabular
Text
Formats:
json
Languages:
English
Size:
< 1K
Tags:
data-juicer
pretraining
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
redpajama-cc-2023-06-refined-by-data-juicer
File size: 2,660 Bytes 
18535f3
 
6678020
 
 
 
 
 
 
 
 
18535f3
6678020
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
 
---
license: apache-2.0
task_categories:
- text-generation
language:
- en
tags:
- data-juicer
- pretraining
size_categories:
- 10M<n<100M
---

# RedPajama -- CommonCrawl-2023-06 (refined by Data-Juicer)

A refined version of CommonCrawl-2023-06 dataset in RedPajama by [Data-Juicer](https://github.com/alibaba/data-juicer). Removing some "bad" samples from the original dataset to make it higher-quality.

This dataset is usually used to pretrain a Large Language Model.

**Notice**: Here is a small subset for previewing. The whole dataset is available [here](https://dail-wlcb.oss-cn-wulanchabu.aliyuncs.com/LLM_data/our_refined_datasets/pretraining/redpajama-cc-refine-results/redpajama-cc-2023-06-refine-result.jsonl) (About 310GB).

## Dataset Information

- Number of samples: 50,643,699 (Keep ~45.46% from the original dataset)

## Refining Recipe
```yaml
# global parameters
project_name: 'Data-Juicer-recipes-cc-2013-06'
dataset_path: '/path/to/your/dataset'  # path to your dataset directory or file
export_path: '/path/to/your/dataset.jsonl'

np: 50  # number of subprocess to process your dataset
open_tracer: true

# process schedule
# a list of several process operators with their arguments
process:
  - document_simhash_deduplicator:
      tokenization: space
      window_size: 6
      lowercase: true
      ignore_pattern: '\p{P}'
      num_blocks: 6
      hamming_distance: 4

  - clean_email_mapper:
  - clean_links_mapper:
  - fix_unicode_mapper:
  - punctuation_normalization_mapper:
  - whitespace_normalization_mapper:

  - alphanumeric_filter:
      tokenization: false
      min_ratio: 0.7508  # 3sigma
      max_ratio: 0.8591  # 3sigma -- 1036821
  - average_line_length_filter:  # for code
      max_len: 1500  # < 3sigma -- 395868
  - character_repetition_filter:
      rep_len: 10
      max_ratio: 0.3  # > 3sigma -- 195026
  - flagged_words_filter:
      lang: en
      tokenization: true
      max_ratio: 0.0015  # 3sigma -- 287896
  - language_id_score_filter:  # remove language filter
      min_score: 0.793  # 3sigma -- 2173246
  - maximum_line_length_filter:  # for code
      max_len: 5000  # < 3sigma -- 797111
  - perplexity_filter:
      lang: en
      max_ppl: 5000  # 3sigma -- 942162
  - special_characters_filter:
      min_ratio: 0.15  # > 3sigma
      max_ratio: 0.35  # > 3sigma -- 1155090
  - text_length_filter:
      max_len: 58187  # 3sigma -- 1165902
  - words_num_filter:
      lang: en
      tokenization: true
      min_num: 20
      max_num: 11529  # 3sigma -- 1185363
  - word_repetition_filter:
      lang: en
      tokenization: true
      rep_len: 10
      max_ratio: 0.2962  # 3sigma -- 2407282
```