Update README.md

README.md

@@ -10,7 +10,7 @@ task_categories:
 language:
 - code
 size_categories:
-- 10M<n<100M
+- 1M<n<10M
 ---
 
 <div align="center">
@@ -32,9 +32,9 @@ Each row represents a single commit that changes exactly one file in a repositor
 
 ## 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:
+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. 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.
+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.
 
 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).
 
@@ -48,7 +48,7 @@ The commit mining pipeline is described in detail in the [Themis paper](https://
 
 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.
+- **Temporal Cutoff & Pull Request Merging** — For training data (Themis-CodePreference), only commits pushed before **March 2019** are retained. For benchmark data (Themis-CodeRewardBench), commits are scoped to **June 2019 – January 2021** from disjoint repositories. Commits are then 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.
@@ -119,4 +119,4 @@ This dataset is released under the [Apache 2.0 License](https://www.apache.org/l
   journal={arXiv preprint arXiv:xxxx.xxxxx},
   year={2025}
 }
-```
+```