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  license: apache-2.0
725
  task_categories:
726
  - text-generation
727
  language:
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- - en
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- tags:
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  - code
731
- - multilingual
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- - github
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- - commits
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  size_categories:
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- - 10M<n<100M
736
  ---
737
 
738
  <div align="center">
739
 
740
- # Themis-Git-Commits
741
 
742
  [![arXiv](https://img.shields.io/badge/arXiv-xxxx.xxxxx-b31b1b.svg)](https://arxiv.org/abs/xxxx.xxxxx)
743
  [![Models](https://img.shields.io/badge/%F0%9F%A4%97%20Models-Themis--RM-yellow)](https://huggingface.co/collections/project-themis/themis-reward-model-collection)
@@ -748,15 +579,31 @@ size_categories:
748
 
749
  ## Overview
750
 
751
- **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.
 
 
752
 
753
- 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.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
754
 
755
  ## Collection Pipeline
756
 
757
- 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:
758
 
759
- 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.
760
 
761
  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).
762
 
@@ -766,11 +613,14 @@ The commit mining pipeline is described in detail in the [Themis paper](https://
766
 
767
  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).
768
 
 
 
769
  ## Downstream Processing (Not in This Dataset)
770
 
771
- The steps below are applied downstream to produce the final preference pairs in Themis-CodePreference, and are **not** reflected in this raw dataset:
772
 
773
- - **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.
 
774
  - **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).
775
  - **LLM Scoring & Instruction Synthesis** — Frontier LMs validate preference strength and generate realistic inverse instructions.
776
  - **LLM-as-a-Judge Preference Labelling** — Multi-sample voting with frontier LMs produces consensus preference labels.
@@ -793,14 +643,41 @@ The steps below are applied downstream to produce the final preference pairs in
793
 
794
  </div>
795
 
796
- ## Filters Applied During Mining
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
797
 
798
  <div align="center">
799
 
800
  | Filter | Purpose |
801
  |:---|:---|
802
  | **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 |
803
- | **Language allowlist** | Python, Java, JavaScript, C, C#, C++, TypeScript, Go, Ruby |
804
  | **Message length** | 10 < length < 15,000 characters |
805
  | **Message blocklist** | ~50 low-signal messages excluded (e.g., "initial commit", "wip", "yolo") |
806
  | **Pattern exclusion** | Merge commits and CI push messages filtered out |
@@ -808,6 +685,8 @@ The steps below are applied downstream to produce the final preference pairs in
808
  | **Single-file constraint** | Commit touches exactly one file |
809
  | **Content retrieval** | Both pre-commit and post-commit file contents successfully fetched |
810
  | **Near-deduplication** | MinHash LSH with Jaccard threshold 0.7 |
 
 
811
 
812
  </div>
813
 
@@ -816,16 +695,18 @@ The steps below are applied downstream to produce the final preference pairs in
816
  ```python
817
  from datasets import load_dataset
818
 
819
- dataset = load_dataset("project-themis/Themis-Git-Commits")
820
-
821
- # Inspect a sample
822
- sample = dataset["train"][0]
823
  print(f"Commit: {sample['commit']}")
824
  print(f"Subject: {sample['subject']}")
825
  print(f"License: {sample['license']}")
826
  print(f"File: {sample['file_path']}")
827
- print(f"Old contents length: {len(sample['old_contents'])}")
828
- print(f"New contents length: {len(sample['new_contents'])}")
 
 
 
829
  ```
830
 
831
  ## License
@@ -841,4 +722,4 @@ This dataset is released under the [Apache 2.0 License](https://www.apache.org/l
841
  journal={arXiv preprint arXiv:xxxx.xxxxx},
842
  year={2025}
843
  }
844
- ```
 
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  features:
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  - name: commit
 
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  dtype: string
 
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  num_examples: 8890
 
 
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  num_examples: 15623
 
 
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  dtype: string
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  - name: commit
 
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  num_examples: 13851
 
 
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  num_examples: 402369
 
 
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  - name: commit
 
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  num_examples: 4930
 
 
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  - name: commit
 
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  num_examples: 345124
 
 
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  num_examples: 57383
 
 
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485
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487
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510
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533
  features:
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  - name: commit
 
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  dtype: string
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  splits:
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  - name: train
 
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  num_examples: 114769
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+ tags:
556
+ - code
557
+ - github
558
+ - commits
559
+ - multilingual
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
560
  license: apache-2.0
561
  task_categories:
562
  - text-generation
563
  language:
 
 
564
  - code
 
 
 
565
  size_categories:
566
+ - 1M<n<10M
567
  ---
568
 
569
  <div align="center">
570
 
571
+ # Themis-Git-Commits-Merged
572
 
573
  [![arXiv](https://img.shields.io/badge/arXiv-xxxx.xxxxx-b31b1b.svg)](https://arxiv.org/abs/xxxx.xxxxx)
574
  [![Models](https://img.shields.io/badge/%F0%9F%A4%97%20Models-Themis--RM-yellow)](https://huggingface.co/collections/project-themis/themis-reward-model-collection)
 
579
 
580
  ## Overview
581
 
582
+ **Themis-Git-Commits-Merged** is a large-scale dataset of ~3.98M single-file code commits from **permissively licensed** GitHub repositories that have been cross-referenced with [GHTorrent](https://ghtorrent.org/) pull request data to retain only commits that are part of **successfully merged, non-reverted pull requests**. This provides implicit human validation of each code change a merge decision by project maintainers confirms the intent and quality of the commit.
583
+
584
+ This dataset is derived from [Themis-Git-Commits](https://huggingface.co/datasets/project-themis/git-commits) (the raw, unfiltered commit pool) by joining against GHTorrent pull request records through **end of 2021** (the temporal extent of the GHTorrent PR data used). It serves as the direct input to the aspect classification and preference construction stages of the [Themis](https://github.com/iNeil77/Themis) pipeline, which produces the commit-based preference pairs in [Themis-CodePreference](https://huggingface.co/datasets/project-themis/Themis-CodePreference) and [Themis-CodeRewardBench](https://huggingface.co/datasets/project-themis/Themis-CodeRewardBench).
585
 
586
+ The SQL query used for initial commit mining 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**.
587
+
588
+ ## Relationship to Themis-Git-Commits
589
+
590
+ <div align="center">
591
+
592
+ | | [Themis-Git-Commits](https://huggingface.co/datasets/project-themis/git-commits) | **Themis-Git-Commits-Merged** (this dataset) |
593
+ |:---|:---|:---|
594
+ | **Scope** | All mined single-file commits | Only commits in merged, non-reverted PRs |
595
+ | **Extension filtering** | No | Yes (file extension matches target language) |
596
+ | **PR validation** | No | Yes (via GHTorrent, through end of 2021) |
597
+ | **Human validation** | Implicit (authored by humans) | Explicit (merge decision by maintainers) |
598
+ | **Downstream use** | Raw pool for further filtering | Direct input to aspect classification |
599
+
600
+ </div>
601
 
602
  ## Collection Pipeline
603
 
604
+ 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. 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.
605
 
606
+ 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 **permissively licensed** repositories in `bigquery-public-data.github_repos`, filtering for target programming languages and non-trivial commit messages.
607
 
608
  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).
609
 
 
613
 
614
  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).
615
 
616
+ 6. **Pull Request Cross-Referencing** *(this step produces this dataset)* — Commits are joined with [GHTorrent](https://ghtorrent.org/) pull request data (through **end of 2021**) to retain only non-reverted commits that are part of successfully merged pull requests from reputable repositories, ensuring implicit human validation of each code change.
617
+
618
  ## Downstream Processing (Not in This Dataset)
619
 
620
+ The steps below are applied downstream to produce the final preference pairs in Themis-CodePreference and Themis-CodeRewardBench, and are **not** reflected in this dataset:
621
 
622
+ - **Language Subsetting** — The 24 languages in this dataset are narrowed to the 8 target languages (C, C#, C++, Go, Java, JavaScript, Python, Ruby) used in [Themis-CodePreference](https://huggingface.co/datasets/project-themis/Themis-CodePreference) and [Themis-CodeRewardBench](https://huggingface.co/datasets/project-themis/Themis-CodeRewardBench).
623
+ - **Temporal Subsetting** — For training data ([Themis-CodePreference](https://huggingface.co/datasets/project-themis/Themis-CodePreference)), only commits pushed before **March 2019** are retained. For benchmark data ([Themis-CodeRewardBench](https://huggingface.co/datasets/project-themis/Themis-CodeRewardBench)), commits are scoped to **June 2019 – January 2021** from disjoint repositories.
624
  - **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).
625
  - **LLM Scoring & Instruction Synthesis** — Frontier LMs validate preference strength and generate realistic inverse instructions.
626
  - **LLM-as-a-Judge Preference Labelling** — Multi-sample voting with frontier LMs produces consensus preference labels.
 
643
 
644
  </div>
645
 
646
+ ## Language Distribution
647
+
648
+ The dataset is partitioned by programming language, with one config per language. Each config has a single `train` split.
649
+
650
+ <div align="center">
651
+
652
+ | Language | Commits | | Language | Commits |
653
+ |:---|---:|:---|:---|---:|
654
+ | Python | 914,849 | | Rust | 57,383 |
655
+ | JavaScript | 694,051 | | Scala | 46,557 |
656
+ | Java | 402,369 | | Swift | 40,271 |
657
+ | Ruby | 345,124 | | Groovy | 16,723 |
658
+ | PHP | 281,390 | | PowerShell | 16,729 |
659
+ | C++ | 194,218 | | Kotlin | 16,467 |
660
+ | Go | 189,131 | | Erlang | 15,623 |
661
+ | C | 172,736 | | Haskell | 13,851 |
662
+ | C# | 138,000 | | Dart | 8,890 |
663
+ | TypeScript | 114,769 | | Perl | 4,930 |
664
+ | Shell | 95,305 | | Julia | 2,662 |
665
+ | | | | R | 656 |
666
+ | | | | Assembly | 507 |
667
+ | **Total** | | | | **~3.98M** |
668
+
669
+ </div>
670
+
671
+ ## Filters Applied
672
+
673
+ All filters from the upstream [Themis-Git-Commits](https://huggingface.co/datasets/project-themis/git-commits) pipeline apply, plus the PR merge filter:
674
 
675
  <div align="center">
676
 
677
  | Filter | Purpose |
678
  |:---|:---|
679
  | **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 |
680
+ | **Language allowlist** (SQL) | Python, Java, JavaScript, C, C#, C++, TypeScript, Go, Ruby (repo-level filter in BigQuery query) |
681
  | **Message length** | 10 < length < 15,000 characters |
682
  | **Message blocklist** | ~50 low-signal messages excluded (e.g., "initial commit", "wip", "yolo") |
683
  | **Pattern exclusion** | Merge commits and CI push messages filtered out |
 
685
  | **Single-file constraint** | Commit touches exactly one file |
686
  | **Content retrieval** | Both pre-commit and post-commit file contents successfully fetched |
687
  | **Near-deduplication** | MinHash LSH with Jaccard threshold 0.7 |
688
+ | **Extension filtering** | Changed file's extension mapped to one of 24 target programming languages (see distribution table) |
689
+ | **PR merge filter** | Commit is part of a successfully merged, non-reverted pull request (GHTorrent data through end of 2021) |
690
 
691
  </div>
692
 
 
695
  ```python
696
  from datasets import load_dataset
697
 
698
+ # Load a single language
699
+ python_commits = load_dataset("project-themis/git-commits-merged", "Python")
700
+ sample = python_commits["train"][0]
 
701
  print(f"Commit: {sample['commit']}")
702
  print(f"Subject: {sample['subject']}")
703
  print(f"License: {sample['license']}")
704
  print(f"File: {sample['file_path']}")
705
+
706
+ # Load all languages
707
+ for lang in ["C", "CSharp", "Cpp", "Go", "Java", "JavaScript", "Python", "Ruby", "TypeScript"]:
708
+ ds = load_dataset("project-themis/git-commits-merged", lang)
709
+ print(f"{lang}: {len(ds['train'])} commits")
710
  ```
711
 
712
  ## License
 
722
  journal={arXiv preprint arXiv:xxxx.xxxxx},
723
  year={2025}
724
  }
725
+ ```