Hugging Face Datasets - Hacker News

Core Value Proposition

Unlock a wealth of insights from the Hacker News community with our comprehensive dataset. Gain access to every story, comment, Ask HN, Show HN, job posting, and poll since 2006, updated every 5 minutes. This dataset provides unparalleled access to one of the most influential tech communities on the internet.

Key Features

• Complete Archive: Access all Hacker News content from its inception.
• Live Updates: Updated every 5 minutes to ensure the most current information.
• Two Configs: Default (entire dataset) and Today (daily data)
• Parquet Format: Efficient storage and retrieval of data.
• Tabular and Textual Data: Supports various analysis types.

Use Cases

• Sentiment Analysis: Analyze community sentiment towards specific technologies or companies.
• Trend Identification: Identify emerging trends and topics within the tech industry.
• Natural Language Processing (NLP) Tasks: Use the dataset for text generation, feature extraction, and text classification.
• Question Answering: Train models to answer questions based on Hacker News content.
• Market Research: Gather insights into user preferences and opinions.
• Building Community Engagement Tools: Build tools which promote increased engagement for communities, companies, or projects.

Data Details

• Size: 10M < n < 100M
• Number of Rows: Over 47 million
• License: odc-by
• File Format: Parquet