---
license: apache-2.0
task_categories:
- text-generation
language:
- en
tags:
- data-juicer
- pretraining
size_categories:
- 100K<n<1M
---

# The Pile -- HackerNews (refined by Data-Juicer)

A refined version of HackerNews 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-hackernews-refine-result.jsonl) (About 1.8G).

## Dataset Information

- Number of samples: 371,331 (Keep ~99.55% from the original dataset)

## Refining Recipe
```yaml
# global parameters
project_name: 'Data-Juicer-recipes-HackerNews'
dataset_path: '/path/to/your/dataset'  # path to your dataset directory or file
export_path: '/path/to/your/dataset.jsonl'

np: 48  # 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: 0.2 #<3sigma
  - average_line_length_filter:
      min_len: 15 # >3sigma
  - character_repetition_filter:
      rep_len: 10
      max_ratio: 0.3  # >3sigma
  - flagged_words_filter:
      lang: en
      tokenization: true
      max_ratio: 0.05 # >3sigma
  - language_id_score_filter:
      min_score: 0.2 # <3sigma
  - maximum_line_length_filter:
      min_len: 20  # >3sigma
  - perplexity_filter:
      lang: en
      max_ppl: 10000 # >3sigma
  - special_characters_filter:
      max_ratio: 0.7 # >3sigma
  - text_length_filter:
      min_len: 100 # > 3sigma
  - words_num_filter:
      lang: en
      tokenization: true
      min_num: 30 # > 3sigma
  - word_repetition_filter:
      lang: en
      tokenization: true
      rep_len: 10
      max_ratio: 0.8 # > 3sigma

  - document_simhash_deduplicator:
      tokenization: space
      window_size: 6
      lowercase: true
      ignore_pattern: '\p{P}'
      num_blocks: 6
      hamming_distance: 4
```