SLURP-Fr Real

<p><strong>Description</strong></p><p>This is the real test portion of the SLURP-Fr dataset, which is a part of the dataset created for the studies on interpreter-aided spoken language understanding (SLU) in the paper below, with three different parts:</p><ol><li>SLURP-Fr, an end-to-end SLU dataset based on the French portion of MASSIVE (<a href="https://github.com/alexa/massive">https://github.com/alexa/massive</a>), containing 16,521 synthetic audio samples created using Google TTS, accompanied with 477 real test samples collected from two French speakers at Idiap.</li><li>SLURP -Es, a similar dataset based on the parallel Spanish portion of MASSIVE, containing only synthetic samples.</li><li>Spoken Gigaword, a speech summarization dataset generated from Gigaword (<a href="https://www.tensorflow.org/datasets/catalog/gigaword">https://www.tensorflow.org/datasets/catalog/gigaword</a>), containing 51,385 synthetic audio samples created using Google TTS.</li></ol><p>&nbsp;</p><p><strong>Reference</strong></p><p>If you use this dataset, please cite the following publication:</p><p><i>He, Mutian, and Philip N. Garner. "The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation." Findings of EMNLP 2023.</i></p>