Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
arrow
Languages:
code
Size:
10M - 100M
ArXiv:
License:
Update README.md
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README.md
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language:
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- code
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size_categories:
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---
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<div align="center">
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## Overview
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**Themis-Git-Commits** is a large-scale dataset of single-file code commits mined from
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Each row represents a single commit that changes exactly one file in a repository with a permissive open-source license. The dataset includes the commit metadata (SHA, message, timestamp, license) along with the pre-commit and post-commit file contents, enabling downstream construction of code-change preference pairs across multiple quality dimensions.
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journal={arXiv preprint arXiv:xxxx.xxxxx},
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year={2025}
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}
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```
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language:
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- code
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size_categories:
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- 1M<n<10M
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---
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<div align="center">
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## Overview
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**Themis-Git-Commits** is a large-scale dataset of single-file code commits mined from **permissively licensed** GitHub repositories via the [BigQuery GitHub public dataset](https://console.cloud.google.com/marketplace/product/github/github-repos). The SQL query restricts to repositories under permissive open-source licenses only (MIT, Apache-2.0, BSD-2/3-Clause, ISC, CC0-1.0, EPL-1.0, MPL-2.0, Unlicense, AGPL-3.0, LGPL-2.1, Artistic-2.0). The BigQuery snapshot used contains commits up to **early 2022** — predating the widespread availability of LLM code generation tools — ensuring that all code changes in the dataset represent **genuine human-authored preferences**.
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This is the **raw commit dataset** — prior to merging with pull request data to subset only for merged commits. It serves as the foundational data source for the commit-based preference pairs in [Themis-CodePreference](https://huggingface.co/collections/project-themis/themis-preference-datasets-and-benchmarks), which is used to train the [Themis-RM](https://huggingface.co/collections/project-themis/themis-reward-model-collection) suite of multilingual code reward models.
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Each row represents a single commit that changes exactly one file in a repository with a permissive open-source license. The dataset includes the commit metadata (SHA, message, timestamp, license) along with the pre-commit and post-commit file contents, enabling downstream construction of code-change preference pairs across multiple quality dimensions.
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journal={arXiv preprint arXiv:xxxx.xxxxx},
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year={2025}
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}
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```
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