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README.md

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 This dataset contains noisy and enhanced speech samples with human-labeled mean opinion scores (MOS), which was constructed in the 2024 URGENT Speech Enhancement Challenge (https://urgent-challenge.github.io/urgent2024/), an official [NeurIPS 2024 Competition](https://neurips.cc/virtual/2024/competition/84788). The dataset is intended to facilitate research on speech quality assessment (SQA) and speech enhancement (SE) systems.
 
-The dataset consists of the noisy and 22 enhanced versions of a subset (300 samples) of the [blind test dataset](https://huggingface.co/datasets/urgent-challenge/urgent2024_official) in the 2024 URGENT Speech Enhancement Challenge. In total, it 6900 speech samples with MOS labels.
+The dataset consists of the noisy and 22 enhanced versions of a subset (300 samples) of the [blind test dataset](https://huggingface.co/datasets/urgent-challenge/urgent2024_official) in the 2024 URGENT Speech Enhancement Challenge. In total, it 6900 speech samples with MOS labels (~13.8 hours).
 > The MOS label for each speech sample were collected from 8 distinct human subjects through Amazon Mechanical Turk (MTurk) platform, following the P.808 recommendation. The raw ratings from each subject were averaged to obtain the final MOS score.
 >
 > Detailed information about the MOS collection process can be found in our [summary paper]() (to be released).