region:us
---
dataset_info:
  features:
  - name: topic
    dtype: string
  - name: outline
    sequence: string
  - name: concepts
    sequence: string
  - name: queries
    sequence: string
  - name: context
    sequence: string
  - name: markdown
    dtype: string
  - name: model
    dtype: string
  splits:
  - name: train
    num_bytes: 1677240291
    num_examples: 111048
  download_size: 631279270
  dataset_size: 1677240291
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Dataset Card for "programming_books_llama"

400M tokens of programming books generated by gpt-3.5 (70M tokens) and a finetuned codellama 34b.  The gpt-3.5 data is extremely high quality.  The llama data has lower quality and shorter length, but is still good.  This was generated with the [textbook quality](https://github.com/VikParuchuri/textbook_quality) repo.