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a8f7c17 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | # 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.
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## 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
```json
{
"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
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