metadata
task_categories:
- text-generation
language:
- en
tags:
- news
- pretrain
pretty_name: AP News 2023
size_categories:
- n<1K
Number of Samples: 1,000
Most Tokens: 4,817
Least Tokens: 186
Average Tokens: 1,027
Median Tokens: 925
Total Tokens: 1,027,462
Using Mistral-v0.1-7B Tokenizer
A small set of news articles which I will try to continue collecting. Very recent samples to bring a model up to speed with what's currently happening.
Grabbed whatever articles I could find going through different categories.
There will be a bias towards whatever AP News has on its front page whenever I open it. It is very current topic focused. Over time as I collect more hopefully it gets a better overall view of what's happening in real life for LLMs to learn from.
- Markdown formatted.
- Cleaned up formatting as I saw fit, but keeping as consistent as I can.
May have duplicate articles due to some articles showing up for multiple days, or on multiple pages.