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@@ -51,3 +51,25 @@ configs:
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  - split: test
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  path: data/test-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - split: test
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  path: data/test-*
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  ---
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+
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+ # LAU eval dataset
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+
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+ This dataset was created while evaluating and comparing the models trained with Listen Attend Understand regularization and our [E2E-ST model](https://huggingface.co/RobotsMali/st-soloni-114m-tdt-ctc).
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+ The audio is from jeli-asr test set; the regularization loss weight lambda in the paper is represented by the character "k" in the fields of this dataset, each field represent a model with a specific decoding strategy (CTC or TDT)
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+
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+ ---
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{diarra2025lau,
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+ title={Listen, Attend, Understand: a Regularization Technique for stable E2E Speech Translation training on High Variance labels},
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+ author={Diarra, Yacouba and Leventhal, Michael},
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+ year={2025},
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+ eprint={2512.XXXXX},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2512.XXXXX},
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+ }
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+
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+ ```
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+