Clarify preference-labelling: unanimous three-model agreement (DeepSeek-V3.2-Speciale, Kimi-K2.5, MiniMax-M2.5)

README.md

@@ -793,7 +793,7 @@ The steps below are applied downstream to produce the final preference pairs in
 - **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.
 - **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.
+- **LLM-as-a-Judge Preference Labelling** — Three frontier LMs (DeepSeek-V3.2-Speciale, Kimi-K2.5, MiniMax-M2.5) each label preferences via multi-sample majority voting; only labels on which all three unanimously agree are retained.
 
 ## Dataset Schema
 
@@ -892,4 +892,4 @@ This dataset is released under the [Apache 2.0 License](https://www.apache.org/l
   journal={arXiv preprint arXiv:2605.00754},
   year={2025}
 }
-```
+```