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---
license: apache-2.0
task_categories:
- text-generation
language:
- en
tags:
- data-juicer
- pretraining
size_categories:
- 100K<n<1M
---
# The Pile -- PubMed Abstracts (refined by Data-Juicer)
A refined version of PubMed Abstracts 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-pubmed-abstract-refine-result.jsonl) (About 24G).
## Dataset Information
- Number of samples: 371,331 (Keep ~99.55% from the original dataset)
## Refining Recipe
```yaml
# global parameters
project_name: 'Data-Juicer-recipes-pubmed-abstract'
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: # 4068
tokenization: false
min_ratio: 0.7 # < 3sigma (0.773)
max_ratio: 0.881 # 3sigma
- average_line_length_filter: # for code
max_len: 2100 # > 3sigma (1471) -- 7410
- character_repetition_filter:
rep_len: 10
max_ratio: 0.2 # > 3sigma (0.1458) -- 6060
- flagged_words_filter:
lang: en
tokenization: true
max_ratio: 0.00232 # 3sigma
- language_id_score_filter: # remove language filter
min_score: 0.5
- maximum_line_length_filter: # for code
max_len: 4000 # remove 8202 samples
- perplexity_filter:
lang: en
max_ppl: 4000 # remove 10284 samples
- special_characters_filter:
max_ratio: 0.38 # remove 5532 samples
- text_length_filter:
max_len: 4000 # > 3sigma -- 10873
- words_num_filter:
lang: en
tokenization: true
min_num: 20 # remove 10790 samples
max_num: 700 # remove 22709 samples
- word_repetition_filter:
lang: en
tokenization: true
rep_len: 10
max_ratio: 0.0887 # 3sigma
- document_simhash_deduplicator:
tokenization: space
window_size: 3 # small window size for short texts
lowercase: true
ignore_pattern: '\p{P}'
num_blocks: 10
hamming_distance: 8 # larger hamming distance threshold for short texts
``` |