JulesBelveze/tldr_news

Dataset Card for tldr_news

Table of Contents

• —Dataset Description
• —Dataset Summary
• —Supported Tasks
• —Languages
• —Dataset Structure
• —Data Instances
• —Data Fields
• —Data Splits
• —Dataset Creation
• —Curation Rationale
• —Source Data
• —Annotations
• —Personal and Sensitive Information
• —Considerations for Using the Data
• —Social Impact of Dataset
• —Discussion of Biases
• —Other Known Limitations
• —Additional Information
• —Dataset Curators
• —Licensing Information
• —Citation Information
• —Version History

Dataset Description

• —Homepage: https://tldr.tech/newsletter
• —Repository: https://github.com/JulesBelveze/tldr_news
• —Version: 2.0.0

Dataset Summary

The tldr_news dataset was constructed by collecting daily tech newsletters from TLDR. For every piece of news, the title, content, category, section, and source URLs were extracted. The dataset now covers multiple TLDR newsletters including AI, tech, crypto, and other categories.

This dataset can be used for various NLP tasks including:

• —Headline generation
• —Text summarization
• —News categorization
• —Content classification by newsletter section

Supported Tasks and Leaderboards

There is no official supported tasks nor leaderboard for this dataset. However, it could be used for the following tasks:

• —Summarization: Generate concise summaries from news articles
• —Headline Generation: Generate headlines from article content
• —Text Classification: Categorize news articles by topic or section
• —Language Modeling: Train language models on tech news domain

Languages

English (en)

Dataset Structure

Data Instances

A data point comprises a news article with its metadata. An example is as follows:

{
  "category": "ai",
  "section": "Sponsor",
  "title": "Report: New data on navigating the AI adoption gap",
  "text": "Around 2 out of 3 executives say generative AI adoption has created tension — 42% say it's tearing their company apart. For many enterprises, conflicts, silos, and even sabotage are stalling progress. Yet there's reason for optimism: 77% of employees using AI are, or could become, an AI champion. The Writer 2025 generative AI report explores the pain points and potential of AI in the enterprise.",
  "url": "https://srv.buysellads.com/ads/long/x/TCUHDYZFTTTTTTH4ZUWN5TTTTTTKBQGZKATTTTTTE4TO47YTTTTTTAD75TBDLEP2F3KI4BPZQ2PMWIZBVR7UCAQW2HHE",
  "newsletter_url": "https://tldr.tech/ai/2025-04-01"
}