maikezu/wmt-human-all-TTS
WMT Human + TTS Audio WMT human evaluation data (zouharvi/wmt-human-all) extended with TTS-synthesised source audio, covering 49 language pairs. Used as training data for SpeechCOMET. Part of the SpeechCOMET model family | Paper: Why We Need Speech to Evaluate Speech Translation (Züfle et al., 2026) | Code: github.com/MaikeZuefle/speechCOMET Dataset Each row contains a source sentence, a machine translation hypothesis, a human quality score, and TTS-synthesised… See the full description on the dataset page: https://huggingface.co/datasets/maikezu/wmt-human-all-TTS.
| Author / organization | maikezu |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 687 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 27 March 2026 |
| Last updated at source | 28 May 2026 |
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- Why We Need Speech to Evaluate Speech TranslationPaper · cites
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- 17 Oct 2026 Description: WMT Human + TTS Audio WMT human evaluation data (zouharvi/wmt-human-all) extended with TTS-synthesised source audio, covering 49 language pairs. Used as training data for SpeechCOMET. Part of the SpeechCOMET model family | Paper: Why We Nee → WMT Human + TTS Audio WMT human evaluation data (zouharvi/wmt-human-all) extended with TTS-synthesised source audio, covering 49 language pairs. Used as training data for SpeechCOMET. Part of the SpeechCOMET model family | Paper: Why We Nee
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