Update README.md

README.md

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 Name: TransClean — A benchmark for detecting and extracting clean translations from LLM outputs.
 
-Description: This dataset contains synthetic examples used to evaluate methods for detecting and extracting clean translations produced by large language models. It supports research on translation quality estimation, extraction, and filtering of clean model outputs. More details can be found in our [paper](https://arxiv.org/abs/2609.11399) at WMT26. 
+Description: This dataset contains **synthetic** examples used to evaluate methods for detecting and extracting clean translations produced by large language models. It supports research on translation quality estimation, extraction, and filtering of clean model outputs. More details can be found in our [paper](https://arxiv.org/abs/2609.11399) at WMT26.
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+Data columns: `translation` is the output generated by LLMs, which might contain noise if directly used for evaluation. Hence, it is the input of noise extraction method to get clean translation. `gold_clean` is the gold clean translation that can be used for computing accuracy metric. `noise_pattern` indicates what kind of noise the `translation` contains.
 
 Included files: `synthetic.jsonl` for the synthetic subset only. Please contact us if you need the curated subset `curated_noisy_1100_with_silver.jsonl`.