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opc-fineweb-code-corpus

opc‑fineweb‑code‑corpus is part of the OpenCoder dataset, specifically for the pre‑training stage. It consists of code‑related data retrieved from the Fineweb platform, processed through three rounds of fastText filtering, resulting in a corpus containing 55 B tokens of code and math‑related data. The math‑related portion is available in the OpenCoder‑LLM/fineweb‑math‑corpus.

Updated 11/24/2024
huggingface

Description

opc‑fineweb‑code‑corpus

Dataset Overview

  • Dataset Name: opc‑fineweb‑code‑corpus
  • Source: Fineweb
  • Purpose: Used for OpenCoder pre‑training
  • Size: 55 B code and math‑related tokens

Features

  • url: string
  • tag: string
  • text: string
  • file_path: string
  • dump: string
  • file_size_in_byte: 64‑bit integer
  • line_count: 64‑bit integer

Splits

  • train: 100,920,235 samples, total size 254,927,419,643 bytes

Configuration

  • config_name: default
  • data_files:
    • split: train
    • path: data/train-*

Citation

  • Paper: OpenCoder: The Open Cookbook for Top‑Tier Code Large Language Models
  • Authors: Siming Huang, Tianhao Cheng, Jason Klein Liu, Jiaran Hao, Liuyihan Song, Yang Xu, J. Yang, J. H. Liu, Chenchen Zhang, Linzheng Chai, Ruifeng Yuan, Zhaoxiang Zhang, Jie Fu, Qian Liu, Ge Zhang, Zili Wang, Yuan Qi, Yinghui Xu, Wei Chu
  • Year: 2024
  • URL: https://arxiv.org/pdf/2411.04905

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Topics

Code Data Processing
Pre‑training Datasets

Source

Organization: huggingface

Created: 11/10/2024

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