QuRatedPajama
A 260B token subset of cerebras/SlimPajama-627B, annotated by princeton-nlp/QuRater-1.3B with sequence-level quality ratings across 4 criteria:
- Educational Value - e.g. the text includes clear explanations, step-by-step reasoning, or questions and answers
- Facts & Trivia - how much factual and trivia knowledge the text contains, where specific facts and obscure trivia are preferred over more common knowledge
- Writing Style - how polished and good is the writing style in the text
- Required Expertise: - how much required expertise and prerequisite knowledge is necessary to understand the text
In a pre-processing step, we split documents in into chunks of exactly 1024 tokens. We provide tokenization with the Llama-2 tokenizer in the input_ids column.
Paper: QuRating: Selecting High-Quality Data for Training Language Models
Citation:
@article{wettig2024qurating,
title={QuRating: Selecting High-Quality Data for Training Language Models},
author={Alexander Wettig, Aatmik Gupta, Saumya Malik, Danqi Chen},
journal={arXiv preprint 2402.09739},
year={2024}
}