|
--- |
|
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 |
|
``` |
