|
--- |
|
license: apache-2.0 |
|
task_categories: |
|
- text-generation |
|
language: |
|
- en |
|
tags: |
|
- data-juicer |
|
- pretraining |
|
size_categories: |
|
- 10M<n<100M |
|
--- |
|
|
|
# RedPajama -- CommonCrawl-2020-05 (refined by Data-Juicer) |
|
|
|
A refined version of CommonCrawl-2020-05 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-2020-05-refine-result.jsonl) (About 297GB). |
|
|
|
## Dataset Information |
|
|
|
- Number of samples: 42,612,596 (Keep ~46.90% from the original dataset) |
|
|
|
## Refining Recipe |
|
```yaml |
|
# global parameters |
|
project_name: 'Data-Juicer-recipes-cc-2020-05' |
|
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: 0.7469 # 3sigma |
|
max_ratio: 0.8609 # 3sigma |
|
- average_line_length_filter: # for code |
|
max_len: 1500 # < 3sigma -- 332621 |
|
- character_repetition_filter: |
|
rep_len: 10 |
|
max_ratio: 0.3 # > 3sigma -- 170501 |
|
- flagged_words_filter: |
|
lang: en |
|
tokenization: true |
|
max_ratio: 0.002 # 3sigma -- 167167 |
|
- language_id_score_filter: # remove language filter |
|
min_score: 0.774 # 3sigma -- 1943513 |
|
- maximum_line_length_filter: # for code |
|
max_len: 5000 # < 3sigma -- 845490 |
|
- perplexity_filter: |
|
lang: en |
|
max_ppl: 5000 # < 3sigma -- 909218 |
|
- special_characters_filter: |
|
min_ratio: 0.15 # > 3sigma |
|
max_ratio: 0.35 # > 3sigma -- 1134347 |
|
- text_length_filter: |
|
max_len: 68161 # 3sigma -- 1145902 |
|
- words_num_filter: |
|
lang: en |
|
tokenization: true |
|
min_num: 20 # remove 7913 samples |
|
max_num: 13644 # 3sigma -- 1148810 |
|
- word_repetition_filter: |
|
lang: en |
|
tokenization: true |
|
rep_len: 10 |
|
max_ratio: 0.328 # 3sigma -- 2125070 |
|
``` |
