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Dataset Card generated by Kimi K2.6

Dataset Card for xoxohth_260501

Dataset Summary

A structured crawl of forum threads and posts from AutoAdmit (also known as XOXOHTH), a web forum focused primarily on law school, college admissions, and professional topics. The dataset contains ~158,000 threads and ~1.41 million posts with full thread structure (replies, nesting, timestamps).

Content Warning: AutoAdmit is an anonymous forum known for offensive and controversial content. The dataset contains substantial amounts of inflammatory, offensive, and potentially harassing material.

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Dataset Details

Dataset Sources

• Source Website: https://www.autoadmit.com

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Uses

Direct Use

Suitable for:

• Academic research into anonymous online discourse and forum dynamics
• Computational social science studying pseudonymous communities
• Linguistic analysis of informal and inflammatory web discourse
• Platform/archival studies of legacy web forums

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Dataset Structure

Schema

Column	Type	Description
thread_id	int64	Unique thread identifier
forum_id	int64	Forum identifier
forum_name	string	Human-readable forum name
thread_title	string	Title as shown in the forum listing
last_activity_date	string	Date of last activity (ISO-8601)
reply_count	int64	Number of replies shown in the listing
posts	list	Array of all posts in the thread

Posts Struct

Column	Type	Description
thread_id	int64	Thread ID
forum_id	int64	Forum ID
post_id	int64	Unique post identifier
position	int64	1-based position in the thread
depth	int64	Nesting depth (0 = top-level post)
parent_post_id	int64 or null	ID of the parent post this replies to
parent_link_type	string or null	Link type (parent or previous)
author	string	Pseudonymous username
posted_at	string	Post timestamp (ISO-8601)
body	string	Post body text

Statistics

Metric	Value
Threads	158,009
Posts	1,414,320
Date range	2012-01-26 to 2026-05-01
Mean posts per thread	9.0
Median posts per thread	3
Longest thread	2,339 posts
Max nesting depth	95
Posts with a parent	1,256,332 (88.8%)
Blank body posts	584,199 (41.3%)
Mean body length (non-blank)	383 characters
Median body length (non-blank)	59 characters
Forums represented	11
Unique authors	657,142

The dataset is heavily concentrated in the Law forum (149,145 threads, 94.4%), followed by Cryptocurrency (6,420 threads, 4.1%).

Top forums by thread count

Forum	Threads	Share
Law	149,145	~94.4%
Cryptocurrency	6,420	~4.1%
Business	880	~0.6%
College	784	~0.5%
Grad School	392	~0.2%
Megathor	120	~0.1%
Hairlines	102	<0.1%
IFNB	82	<0.1%
SPH	43	<0.1%
Tennis	24	<0.1%
Golf	17	<0.1%

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Dataset Creation

Curation Rationale

AutoAdmit (XOXOHTH) is a long-running anonymous forum with a distinctive culture centred on law school admissions, legal profession discussion, and unmoderated anonymous commentary. The archive preserves a record of discourse, community structure, and user interaction patterns within a pseudonymous forum with minimal content moderation.

Source Data

Data Collection and Processing

• Tool: Scrapy
• Scope: All threads discoverable via the public forum listing pages for the 11 indexed forums
• No filtering was applied to content; all discoverable threads and posts are included

Who are the source data producers?

AutoAdmit users posting under pseudonymous usernames.

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Bias, Risks, and Limitations

Content Risks

• Offensive content: Racist, sexist, homophobic, transphobic, and otherwise bigoted language is common
• Harassment: Targeted abuse of individuals, including named students, lawyers, and public figures
• Inflammatory material: Deliberately provocative, trolling, or extremist political content
• Misinformation: Unverified claims presented as fact
• Sensitive topics: Discussions of violence, suicide, mental health, and illegal activity

Structural Limitations

• No ground truth for user identity; usernames are pseudonymous and may change between posts
• The dataset ends on 2026-05-01 and does not reflect any content posted after that date
• A large proportion of posts (~41%) have blank bodies; this is common for top-level thread-starting posts on this forum, which often consist only of a title
• Nesting depth can reach 95 levels, indicating extremely deep reply chains in some threads
• Vote/score data is not available on this forum platform

Personal and Sensitive Information

• No systematic PII detection or redaction was performed
• Usernames are pseudonymous but may occasionally contain identifying information
• Posts may contain references to real individuals, institutions, or events, sometimes by name
• The dataset should be treated as containing potentially sensitive information

Licence and Redistribution

No licence was identified for the source forum content. This dataset is therefore marked as license: unknown.

The dataset consists of scraped public forum posts authored by third parties. The dataset publisher does not claim ownership of the underlying post text and does not grant additional rights beyond any rights users may already have under applicable law.

Users are responsible for determining whether their intended use is lawful, including with respect to copyright, privacy, data protection, and platform terms.