---
license: apache-2.0
size_categories:
- 1M<n<10M
tags:
- code
dataset_info:
  features:
  - name: max_stars_count
    dtype: int64
  - name: text
    dtype: string
  - name: token_count
    dtype: int64
  splits:
  - name: train
    num_bytes: 10787104987
    num_examples: 2130812
  download_size: 3723229232
  dataset_size: 10787104987
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Common Starcoder dataset

This dataset is generated from [bigcode/starcoderdata](https://huggingface.co/datasets/bigcode/starcoderdata).

Total GPT2 Tokens: 4,649,163,171

## Generation Process
1. We filtered the original dataset with common language: C, Cpp, Java, Python and JSON.
2. We removed some columns for mixing up with other dataset: "id", "max_stars_repo_path", "max_stars_repo_name"
3. After removing the irrelevant fields, we shuffle the dataset with random seed=42.
4. We filtered the data on "max_stars_count" > 300 and shuffle again.
5. We further reduced the dataset size by select(range(current_size, 2_500_000)), However there are only 2.13M samples left.
6. Add "n_tokens" by using GPT2Tokenizer to count the tokens in the "content" field.