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Data

OctoPack

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First page
OctoPack
The curator’s take

Hugging Face releases OctoPack, a 4TB dataset of Git commits across 350 programming languages for instruction-tuning code LLMs.

Key points
01

4TB commit dataset: Curated dataset of 4 terabytes of Git commits across 350 programming languages, using commit messages as implicit instructions.

02

Natural code instructions: Commit messages provide real-world, naturally occurring instructions for code changes - far more authentic than synthetically generated code instructions.

03

SoTA without OpenAI outputs: Achieves state-of-the-art performance on HumanEval Python among models not trained on OpenAI outputs.

04

HumanEval extension: Extends HumanEval beyond Python generation to include code explanation and code repair tasks, providing richer evaluation coverage.

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