metadata

license: mit
tags:
  - infinite-dataset-hub
  - synthetic

HACHERnews-ML_AI_vs_Regular

tags: Classification, NLP, AI

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'HACHERnews-ML_AI_vs_Regular' dataset comprises articles from the Hacker News platform that have been manually classified into two categories: posts related to Artificial Intelligence (AI) and Machine Learning (ML) versus posts about regular, non-technical topics. The classification aims to analyze the discussions surrounding technology and AI compared to everyday conversations on a popular tech-focused news platform. The labeling process was performed by experts familiar with Hacker News' content and themes to ensure a high level of accuracy in distinguishing between the two categories.

CSV Content Preview:

post_id,title,url,label
1,"Breaking News: AI Researchers Develop New Machine Learning Algorithm",https://news.example.com/ai-ml-breakthrough,"ML_AI"
2,"Local Community Organizes Regular Neighborhood Clean-Up Day",https://news.example.com/community-clean-up,"Regular"
3,"Deep Learning Advances: Neural Networks Learn to Play Games Better Than Humans",https://news.example.com/deep-learning-games,"ML_AI"
4,"School Board Meeting to Address Parental Concerns",https://news.example.com/school-board-meeting,"Regular"
5,"AI in Healthcare: Machine Learning Predicts Patient Outcomes with High Accuracy",https://news.example.com/ai-healthcare-prediction,"ML_AI"

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'detection of hachernews posts about artificial intelligence / machine learning versus posts about regular topics, difficult':