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README.md

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 # [SpeechQE: Estimating the Quality of Direct Speech Translation](https://aclanthology.org/2024.emnlp-main.1218)
 This is a benchmark and training corpus for the task of quality estimation for speech translation (SpeechQE).
 
-*(We provide test split first, and the training corpus will be provided later. However, if you want those quickly, please do not hesitate to ping me (hjhan@umd.edu)!)
+We subsample about 80k segments from the training set and 500 from the dev and test of CoVoST2, then run seven different direct ST models to generate the ST hypotheses.
+So,`test` split consists of 3500 instances(500*7). We also provide splits for each translation model.
+*(We provide `test` split first, and the training corpus will be provided later. However, if you want those quickly, please do not hesitate to ping me (hjhan@umd.edu)!)
 
 ## E2E Model Trained with SpeechQE-CoVoST2