| # Hacker News Dataset |
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| ## Dataset Summary |
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| 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. |
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| 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. |
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| The data was programmatically collected using the official API endpoints and processed into structured JSONL format suitable for large-scale language modeling and analysis. |
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| ## Dataset Structure |
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| Each sample in the dataset is stored as a JSON object with the following fields: |
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| - **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) |
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| ### Example |
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| ```json |
| { |
| "Source": "HackerNews", |
| "Date": 2021, |
| "Text": "This is an example comment from Hacker News.", |
| "Token_count": 18 |
| } |
| ``` |
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| ## Data Collection |
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| Data was collected using the official Hacker News API: https://github.com/HackerNews/API |
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| ## Data Processing |
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| The following preprocessing steps were applied: |
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| Removed empty or null text entries |
| Converted timestamps to year format |
| Tokenized text using cl100k_base |
| Split into multiple JSONL shards for efficient storage |
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