Datasets:
File size: 4,518 Bytes
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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)](https://zenodo.org/records/3606810) — "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`:
```python
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
```bibtex
@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)
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