metadata

license: mit
dataset_info:
  features:
    - name: url
      dtype: string
    - name: tag
      dtype: string
    - name: text
      dtype: string
    - name: file_path
      dtype: string
    - name: dump
      dtype: string
    - name: file_size_in_byte
      dtype: int64
    - name: line_count
      dtype: int64
  splits:
    - name: train
      num_bytes: 254927419643
      num_examples: 100920235
  download_size: 147948949488
  dataset_size: 254927419643
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

OpenCoder Dataset

The OpenCoder dataset is composed of the following datasets:

opc-sft-stage1: the sft data used for opencoder sft-stage1
opc-sft-stage2: the sft data used for opencoder sft-stage2
opc-annealing-corpus: the synthetic data & algorithmic corpus used for opencoder annealing
opc-fineweb-code-corpus: the code-related page recalled from fineweb <-- you are here
opc-fineweb-math-corpus: the math-related page recalled from fineweb
refineCode-code-corpus-meta: the meta-data of RefineCode

Detailed information about the data can be found in our paper.

opc-fineweb-code-corpus

This code-related data from Fineweb was specifically used in OpenCoder pre-training. We employ fastText in three iterative rounds to recall a final dataset of 55B code and math-related data. You can find math-related data at OpenCoder-LLM/fineweb-math-corpus.

This work belongs to INF.

Citation Information

Please consider citing our paper if you find this dataset useful:

@inproceedings{Huang2024OpenCoderTO,
  title = {OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models},
  author = {Siming Huang and Tianhao Cheng and Jason Klein Liu and Jiaran Hao and Liuyihan Song and Yang Xu and J. Yang and J. H. Liu and Chenchen Zhang and Linzheng Chai and Ruifeng Yuan and Zhaoxiang Zhang and Jie Fu and Qian Liu and Ge Zhang and Zili Wang and Yuan Qi and Yinghui Xu and Wei Chu},
  year = {2024},
  url = {https://arxiv.org/pdf/2411.04905}
}