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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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tags: |
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- data-juicer |
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- pretraining |
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size_categories: |
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- 10M<n<100M |
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--- |
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# RedPajama -- CommonCrawl-2019-30 (refined by Data-Juicer) |
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A refined version of CommonCrawl-2019-30 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. |
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This dataset is usually used to pretrain a Large Language Model. |
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**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-2019-30-refine-result.jsonl) (About 240GB). |
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## Dataset Information |
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- Number of samples: 36,557,283 (Keep ~45.08% from the original dataset) |
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## Refining Recipe |
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```yaml |
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# global parameters |
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project_name: 'Data-Juicer-recipes-cc-2019-30' |
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dataset_path: '/path/to/your/dataset' # path to your dataset directory or file |
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export_path: '/path/to/your/dataset.jsonl' |
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np: 50 # number of subprocess to process your dataset |
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open_tracer: true |
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# process schedule |
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# a list of several process operators with their arguments |
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process: |
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- document_simhash_deduplicator: |
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tokenization: space |
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window_size: 6 |
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lowercase: true |
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ignore_pattern: '\p{P}' |
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num_blocks: 6 |
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hamming_distance: 4 |
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- clean_email_mapper: |
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- clean_links_mapper: |
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- fix_unicode_mapper: |
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- punctuation_normalization_mapper: |
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- whitespace_normalization_mapper: |
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- alphanumeric_filter: # 770218 |
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tokenization: false |
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min_ratio: 0.7489 # 3sigma |
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max_ratio: 0.8585 # 3sigma |
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- average_line_length_filter: # for code |
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max_len: 1500 # < 3sigma (2689) -- 177520 |
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- character_repetition_filter: |
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rep_len: 10 |
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max_ratio: 0.3 # > 3sigma (0.1491) -- 151703 |
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- flagged_words_filter: |
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lang: en |
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tokenization: true |
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max_ratio: 0.0025 # 3sigma -- 101540 |
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- language_id_score_filter: # remove language filter |
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min_score: 0.788 # 3sigma -- 1622574 |
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- maximum_line_length_filter: # for code |
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max_len: 5000 # < 3sigma (8775) -- 485806 |
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- perplexity_filter: |
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lang: en |
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max_ppl: 5000 # < 3sigma (6723) -- 676914 |
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- special_characters_filter: |
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min_ratio: 0.15 # > 3sigma (0.104) |
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max_ratio: 0.35 # > 3sigma (0.322) -- 859797 |
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- text_length_filter: |
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max_len: 65589 # 3sigma -- 975142 |
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- words_num_filter: |
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lang: en |
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tokenization: true |
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min_num: 20 # > 3sigma -- 196 |
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max_num: 13030 # 3sigma -- 989078 |
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- word_repetition_filter: |
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lang: en |
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tokenization: true |
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rep_len: 10 |
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max_ratio: 0.279 # 3sigma -- 1716308 |
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``` |
