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metadata
dataset_info:
  features:
    - name: thread_no
      dtype: int64
    - name: archived_on
      dtype: int64
    - name: semantic_url
      dtype: string
    - name: 'no'
      dtype: int64
    - name: resto
      dtype: int64
    - name: time
      dtype: int64
    - name: now
      dtype: string
    - name: name
      dtype: string
    - name: trip
      dtype: string
    - name: sub
      dtype: string
    - name: com
      dtype: string
    - name: country
      dtype: string
    - name: country_name
      dtype: string
    - name: filename
      dtype: string
    - name: ext
      dtype: string
    - name: fsize
      dtype: int64
    - name: md5
      dtype: string
    - name: w
      dtype: int32
    - name: h
      dtype: int32
    - name: tn_w
      dtype: int32
    - name: tn_h
      dtype: int32
    - name: tim
      dtype: int64
    - name: replies
      dtype: int32
    - name: images
      dtype: int32
    - name: bumplimit
      dtype: int32
    - name: imagelimit
      dtype: int32
    - name: archived
      dtype: int32
    - name: closed
      dtype: int32
    - name: toxicity
      dtype: float32
    - name: severe_toxicity
      dtype: float32
    - name: inflammatory
      dtype: float32
    - name: profanity
      dtype: float32
    - name: insult
      dtype: float32
    - name: obscene
      dtype: float32
    - name: spam
      dtype: float32
    - name: entities
      dtype: string
  splits:
    - name: train
      num_bytes: 19440000000
      num_examples: 134529233
  download_size: 19440000000
  dataset_size: 134529233
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*-of-00270.parquet
license: cc-by-4.0
task_categories:
  - text-classification
language:
  - en
tags:
  - 4chan
  - toxicity
  - perspective-api
  - named-entities
  - political
pretty_name: /pol/ 4chan Augmented (Jun 2016 - Nov 2019)
size_categories:
  - 100M<n<1B

/pol/ 4chan Augmented Dataset

134.5M posts from 3.4M threads on 4chan's /pol/ board (June 2016 - November 2019), augmented with Perspective API toxicity scores and named entity recognition.

Dataset Description

This dataset contains posts from 4chan's Politically Incorrect (/pol/) board, collected between June 2016 and November 2019. Each post has been augmented with:

  • Perspective API toxicity scores (7 dimensions): toxicity, severe_toxicity, inflammatory, profanity, insult, obscene, spam
  • Named Entity Recognition: extracted entities stored as JSON arrays

Source

Original data from Papasavva et al. (2020) — "Raiders of the Lost Kek: 3.5 Years of Augmented 4chan Posts from the Politically Incorrect Board".

Format

270 parquet shards with zstd compression (~70MB each). The dataset is directly loadable with HuggingFace datasets:

from datasets import load_dataset
ds = load_dataset("ylelauta/pol-4chan-augmented")

Schema

Field Type Description
thread_no int64 Thread number (from OP)
no int64 Post number
resto int64 0 = OP, >0 = reply-to thread number
time int64 Unix timestamp
com string Comment HTML
country / country_name string Poster's country flag
sub string Subject (OP only)
name / trip string Poster identity
filename / ext / fsize / md5 / w / h / tim mixed Image metadata
replies / images int32 Thread stats (OP only)
toxicity float32 Perspective API toxicity score (0-1)
severe_toxicity float32 Severe toxicity score
inflammatory float32 Inflammatory score
profanity float32 Profanity score
insult float32 Insult score
obscene float32 Obscene score
spam float32 Spam score
entities string JSON array of named entities

Statistics

  • 134,529,233 posts
  • 3,397,911 threads
  • 270 parquet shards
  • Date range: June 2016 - November 2019

Citation

@inproceedings{papasavva2020raiders,
  title={Raiders of the Lost Kek: 3.5 Years of Augmented 4chan Posts from the Politically Incorrect Board},
  author={Papasavva, Antonis and Zannettou, Savvas and De Cristofaro, Emiliano and Stringhini, Gianluca and Blackburn, Jeremy},
  booktitle={Proceedings of the International AAAI Conference on Web and Social Media},
  year={2020}
}

License

CC-BY-4.0 (following the original dataset license)