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This dataset contains material from Hacker News via the official Firebase API (user-generated content). The Fin AI does not own this content and grants no license to it. By requesting access you agree to: (1) use it only for non-commercial research; (2) not redistribute it or any substantial part of it; (3) comply with the terms of the original source; (4) delete your copy upon request by The Fin AI or a rights holder.
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Hacker News Dataset
Dataset Summary
This dataset is derived from the official Hacker News data provided via the Hacker News Firebase API. It contains user-generated content including stories, comments, and metadata from the Hacker News platform.
Hacker News is a social news website focusing on computer science, entrepreneurship, and technology. The dataset captures real-world discussions, technical conversations, and community interactions over time.
The data was programmatically collected using the official API endpoints and processed into structured JSONL format suitable for large-scale language modeling and analysis.
Dataset Structure
Each sample in the dataset is stored as a JSON object with the following fields:
- Source: Dataset name (e.g., "HackerNews")
- Date: Year extracted from the timestamp
- Text: Main textual content (e.g., comment or story text)
- Token_count: Number of tokens computed using
tiktoken(cl100k_base)
Example
{
"Source": "HackerNews",
"Date": 2021,
"Text": "This is an example comment from Hacker News.",
"Token_count": 18
}
Data Collection
Data was collected using the official Hacker News API: https://github.com/HackerNews/API
Data Processing
The following preprocessing steps were applied:
Removed empty or null text entries Converted timestamps to year format Tokenized text using cl100k_base Split into multiple JSONL shards for efficient storage
Source and license
Content originates from Hacker News (Firebase API) (https://github.com/HackerNews/API). The Fin AI does not own this content and grants no license to it; access is reviewed manually and limited to non-commercial research.
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