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---
license: apache-2.0
task_categories:
- text-generation
language:
- en
tags:
- data-juicer
- pretraining
size_categories:
- 1M<n<10M
---
# The Pile -- FreeLaw (refined by Data-Juicer)
A refined version of FreeLaw dataset in The Pile 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/the-pile-freelaw-refine-result.jsonl) (About 45GB).
## Dataset Information
- Number of samples: 2,942,612 (Keep ~82.61% from the original dataset)
## Refining Recipe
```yaml
# global parameters
project_name: 'Data-Juicer-recipes-freelaw'
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:
- clean_email_mapper:
- clean_links_mapper:
- fix_unicode_mapper:
- punctuation_normalization_mapper:
- whitespace_normalization_mapper:
- alphanumeric_filter:
tokenization: false
min_ratio: 0.3 # <3sigma (0.436)
- average_line_length_filter: # for code
max_len: 697 # 3sigma TBD
- character_repetition_filter:
rep_len: 10
max_ratio: 0.4 # >3sigma (0.350)
- flagged_words_filter:
lang: en
tokenization: true
max_ratio: 0.0053 # 3sigma
- language_id_score_filter:
min_score: 0.5 # < 3sigma (0.583)
- maximum_line_length_filter: # for code
max_len: 4229 # 3sigma
- perplexity_filter:
lang: en
max_ppl: 5322 # 3sigma
- special_characters_filter:
max_ratio: 0.7 # > 3sigma (0.626)
- stopwords_filter: # not use
lang: en
tokenization: true
min_ratio: 0.1 # > 3sigma (0.07)
- text_length_filter:
max_len: 84026 # 3sigma
- words_num_filter:
lang: en
tokenization: true
min_num: 100
max_num: 15208 # 3sigma
- word_repetition_filter:
lang: en
tokenization: true
rep_len: 10
max_ratio: 0.155 # 3sigma
- document_simhash_deduplicator:
tokenization: space
window_size: 6
lowercase: true
ignore_pattern: '\p{P}'
num_blocks: 6
hamming_distance: 4
``` |