Datasets:
metadata
license: apache-2.0
task_categories:
- text-generation
language:
- en
tags:
- data-juicer
- pretraining
size_categories:
- 100K<n<1M
RedPajama -- Book (refined by Data-Juicer)
A refined version of Book dataset in RedPajama by 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 (About 91GB).
Dataset Information
- Number of samples: 195,983 (Keep ~95.51% from the original dataset)
Refining Recipe
# global parameters
project_name: 'Data-Juicer-recipes-book'
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: 0.55 # <3sigma (0.697)
max_ratio: 0.854 # 3sigma
- average_line_length_filter: # for code
max_len: 500 # >3sigma (364)
- character_repetition_filter:
rep_len: 10
max_ratio: 0.2 # >3sigma (0.12)
- flagged_words_filter:
lang: en
tokenization: true
max_ratio: 0.00047 # 3sigma
- language_id_score_filter: # remove language filter
min_score: 0.2
- maximum_line_length_filter: # for code
max_len: 13381 # 3sigma
- perplexity_filter:
lang: en
max_ppl: 6000 # <3sigma (16516)
- special_characters_filter:
max_ratio: 0.5 # >3sigma (0.32)
- words_num_filter:
lang: en
tokenization: true
min_num: 1000
max_num: 539754 # 3sigma
- word_repetition_filter:
lang: en
tokenization: true
rep_len: 10
max_ratio: 0.194 # 3sigma
- document_simhash_deduplicator:
tokenization: space
window_size: 6
lowercase: true
ignore_pattern: '\p{P}'
num_blocks: 6
hamming_distance: 4