Create README.md

README.md

@@ -0,0 +1,122 @@
+---
+tags:
+- code
+- github
+- commits
+- multilingual
+license: apache-2.0
+task_categories:
+- text-generation
+language:
+- code
+size_categories:
+- 10M<n<100M
+---
+
+<div align="center">
+
+# Themis-Git-Commits
+
+[![arXiv](https://img.shields.io/badge/arXiv-xxxx.xxxxx-b31b1b.svg)](https://arxiv.org/abs/xxxx.xxxxx)
+[![Models](https://img.shields.io/badge/%F0%9F%A4%97%20Models-Themis--RM-yellow)](https://huggingface.co/collections/project-themis/themis-reward-model-collection)
+[![Datasets & Benchmarks](https://img.shields.io/badge/%F0%9F%A4%97%20Datasets%20%26%20Benchmarks-Themis-blue)](https://huggingface.co/collections/project-themis/themis-preference-datasets-and-benchmarks)
+[![GitHub](https://img.shields.io/badge/GitHub-Themis-181717?logo=github)](https://github.com/iNeil77/Themis)
+
+</div>
+
+## Overview
+
+**Themis-Git-Commits** is a large-scale dataset of single-file code commits mined from openly licensed GitHub repositories via the [BigQuery GitHub public dataset](https://console.cloud.google.com/marketplace/product/github/github-repos). 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.
+
+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.
+
+## Collection Pipeline
+
+The commit mining pipeline is described in detail in the [Themis paper](https://arxiv.org/abs/xxxx.xxxxx) and the [Dataset](https://github.com/iNeil77/Themis/tree/main/Dataset) folder in the GitHub repository. At a high level:
+
+1. **BigQuery Mining** — A [GoogleSQL query](https://github.com/iNeil77/Themis/blob/main/Dataset/Commit_Mining_SQL/consolidated_query.sql) extracts single-file commits from `bigquery-public-data.github_repos`, filtering for permissive licenses, target programming languages, and non-trivial commit messages.
+
+2. **Repository Reputation Filtering** — Commits are subset to those originating from [curated high-reputation repositories](https://github.com/iNeil77/Themis/tree/main/Dataset/Repos) (15+ GitHub stars, 5+ contributors, 10+ issues).
+
+3. **Extension Filtering** — Commits are further filtered so the changed file's extension matches a target programming language.
+
+4. **Content Retrieval** — The pre-commit (`old_contents`) and post-commit (`new_contents`) file contents are fetched from GitHub via shallow git fetches using [retrieve_commit_contents.py](https://github.com/iNeil77/Themis/blob/main/Dataset/Utils/retrieve_commit_contents.py).
+
+5. **MinHash Deduplication** — Near-duplicate content is removed using [MinHash LSH deduplication](https://github.com/iNeil77/Themis/blob/main/Dataset/Utils/minHash_dedupe_local.py) (shingle size 5, 256 permutations, Jaccard threshold 0.7).
+
+## Downstream Processing (Not in This Dataset)
+
+The steps below are applied downstream to produce the final preference pairs in Themis-CodePreference, and are **not** reflected in this raw dataset:
+
+- **Pull Request Merging** — Commits are cross-referenced with GHTorrent pull request data to retain only non-reverted commits that are part of successfully merged pull requests, ensuring implicit human validation.
+- **Aspect Classification** — Commits are assigned to quality dimensions (Functional Correctness, Runtime Efficiency, Memory Efficiency, Security Hardness, Readability & Maintainability) using criteria-specialized [ModernBERT](https://huggingface.co/answerdotai/ModernBERT-base) commit classifiers, trained on seed positives retrieved via [curated term lists](https://github.com/iNeil77/Themis/tree/main/Dataset/Commit_Mining_Terms).
+- **LLM Scoring & Instruction Synthesis** — Frontier LMs validate preference strength and generate realistic inverse instructions.
+- **LLM-as-a-Judge Preference Labelling** — Multi-sample voting with frontier LMs produces consensus preference labels.
+
+## Dataset Schema
+
+<div align="center">
+
+| Column | Type | Description |
+|:---|:---:|:---|
+| `commit` | string | Git commit SHA |
+| `subject` | string | First line of the commit message |
+| `message` | string | Full commit message body |
+| `repos` | string | Comma-separated list of repository names containing this commit |
+| `file_path` | string | Path of the changed file |
+| `license` | string | SPDX license identifier of the source repository |
+| `unix_time` | int64 | Committer timestamp (seconds since epoch) |
+| `new_contents` | string | File contents after the commit (post-commit) |
+| `old_contents` | string | File contents before the commit (pre-commit) |
+
+</div>
+
+## Filters Applied During Mining
+
+<div align="center">
+
+| Filter | Purpose |
+|:---|:---|
+| **License allowlist** | MIT, Apache-2.0, BSD-2-Clause, BSD-3-Clause, ISC, CC0-1.0, EPL-1.0, MPL-2.0, Unlicense, AGPL-3.0, LGPL-2.1, Artistic-2.0 |
+| **Language allowlist** | Python, Java, JavaScript, C, C#, C++, TypeScript, Go, Ruby |
+| **Message length** | 10 < length < 15,000 characters |
+| **Message blocklist** | ~50 low-signal messages excluded (e.g., "initial commit", "wip", "yolo") |
+| **Pattern exclusion** | Merge commits and CI push messages filtered out |
+| **Same-path constraint** | `old_path = new_path` — file was modified in place, not renamed or moved |
+| **Single-file constraint** | Commit touches exactly one file |
+| **Content retrieval** | Both pre-commit and post-commit file contents successfully fetched |
+| **Near-deduplication** | MinHash LSH with Jaccard threshold 0.7 |
+
+</div>
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("project-themis/Themis-Git-Commits")
+
+# Inspect a sample
+sample = dataset["train"][0]
+print(f"Commit: {sample['commit']}")
+print(f"Subject: {sample['subject']}")
+print(f"License: {sample['license']}")
+print(f"File: {sample['file_path']}")
+print(f"Old contents length: {len(sample['old_contents'])}")
+print(f"New contents length: {len(sample['new_contents'])}")
+```
+
+## License
+
+This dataset is released under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0). The source commits are drawn exclusively from repositories with permissive open-source licenses (see filter table above).
+
+## Citation
+
+```bibtex
+@article{themis2025,
+  title={Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring},
+  author={Paul, Indraneil and Gurevych, Iryna and Glava\v{s}, Goran},
+  journal={arXiv preprint arXiv:xxxx.xxxxx},
+  year={2025}
+}
+```