README.md

---
dataset_info:
  features:
  - name: Source
    dtype: string
  - name: Date
    dtype: int32
  - name: Text
    dtype: string
  - name: Token_count
    dtype: int32
  splits:
  - name: train
    num_bytes: 11888162601
    num_examples: 2118890
  download_size: 3090679450
  dataset_size: 11888162601
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
pretty_name: github-java-corpus
language:
- code
license: other
task_categories:
- text-generation
tags:
- text
- code
- java
---

# github-java-corpus

## Summary
This dataset contains Java source-code text samples prepared for pretraining.

## Repository
`TheFinAI/github-java-corpus`

## Required Columns
- **Source**: dataset name
- **Date**: year
- **Text**: the pure text of each sample
- **Token_count**: the token count computed with tiktoken

## Schema
- `Source` (`string`)
- `Date` (`int32`)
- `Text` (`string`)
- `Token_count` (`int32`)

## Construction
The dataset was built from streamed archive processing into file-level text samples.

## Notes
- Intended for pretraining
- One row corresponds to one source file
- `Date` is the assigned year label for this source

## Source Dataset

This dataset is derived from the Project CodeNet dataset:

https://datashare.ed.ac.uk/handle/10283/2334

Project CodeNet is a large-scale dataset of source code collected from online programming platforms, including AIZU Online Judge and AtCoder.

## Processing

We convert the original dataset into a file-level text corpus suitable for pretraining:

- Extract Java source files
- Remove generated files
- Convert into JSONL format
- Compute token counts using tiktoken
- Upload as a Hugging Face dataset

## Citation

If you use this dataset, please also cite the original Project CodeNet dataset:

@inproceedings{puri2021project,
  title={Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks},
  author={Puri, Ruchir et al.},
  booktitle={NeurIPS Datasets and Benchmarks},
  year={2021}
}