Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
arrow
Languages:
code
Size:
10M - 100M
ArXiv:
License:
Update README.md
Browse files
README.md
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## Collection Pipeline
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The commit mining pipeline is described in detail in the [Themis paper](https://arxiv.org/abs/
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1. **BigQuery Mining** — A [GoogleSQL query](https://github.com/iNeil77/Themis/blob/main/Dataset/Commit_Mining_SQL/consolidated_query.sql) (modified from [OctoPack](https://arxiv.org/abs/2308.07124)) extracts single-file commits from `bigquery-public-data.github_repos`, filtering for permissive licenses, target programming languages, and non-trivial commit messages.
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@article{themis2025,
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title={Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring},
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author={Paul, Indraneil and Gurevych, Iryna and Glava\v{s}, Goran},
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journal={arXiv preprint arXiv:
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year={2025}
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}
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```
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## Collection Pipeline
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The commit mining pipeline is described in detail in the [Themis paper](https://arxiv.org/abs/2605.00754) and the [Dataset](https://github.com/iNeil77/Themis/tree/main/Dataset) folder in the GitHub repository. The BigQuery SQL query and scraping infrastructure are modified from the [OctoPack](https://arxiv.org/abs/2308.07124) pipeline ([CommitPack](https://huggingface.co/datasets/bigcode/commitpack)); the subsequent filtering, classification, and preference construction stages are original to Themis. At a high level:
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1. **BigQuery Mining** — A [GoogleSQL query](https://github.com/iNeil77/Themis/blob/main/Dataset/Commit_Mining_SQL/consolidated_query.sql) (modified from [OctoPack](https://arxiv.org/abs/2308.07124)) extracts single-file commits from `bigquery-public-data.github_repos`, filtering for permissive licenses, target programming languages, and non-trivial commit messages.
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@article{themis2025,
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title={Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring},
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author={Paul, Indraneil and Gurevych, Iryna and Glava\v{s}, Goran},
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journal={arXiv preprint arXiv:2605.00754},
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year={2025}
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}
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```
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