dataset_info:
features:
- name: timestamp
dtype: int64 - name: score
dtype: float64 - name: subject
dtype: string - name: full_title
dtype: string - name: board_name
dtype: string - name: views
dtype: int64 - name: unique_posters
dtype: int64 - name: conversation
list:- name: content
dtype: string - name: role
dtype: string
splits:
- name: content
- name: train
num_bytes: 806020266.0
num_examples: 26956
download_size: 422130168
dataset_size: 806020266.0
configs: - config_name: default
data_files:- split: train
path: data/train-*
- split: train
2ch unSafety Dataset
The 2ch unSafety Dataset is a comprehensive collection of text data scraped from the Russian anonymous imageboard 2ch (Двач). This dataset captures the raw, unfiltered discourse found across various boards and threads on 2ch, representing a wide range of topics, discussions, and opinions. Due to the nature of 2ch as an anonymous and uncensored platform, the dataset includes a diverse spectrum of content, ranging from casual banter to controversial, explicit, and potentially offensive material.
Key Features:
• Content Variety: The dataset encompasses threads from multiple categories such as technology, politics, relationships, hobbies, gaming, memes, and more, providing a broad view of online discussions.
• Anonymity: Since 2ch is an anonymous forum, the dataset lacks any personal identifying information, making it suitable for studying the impact of anonymity on online behavior and communication patterns.
• Unfiltered Language: The text is collected in its raw form, which means it includes slang, profanity, hate speech, and other forms of explicit or harmful language, but converted to chat format
• Time Coverage: till august 2024
• Board Diversity: Data is sourced from a variety of boards (e.g., /b/ - random, /pol/ - politics, /vg/ - video games), providing a rich mixture of thematic discussions.