slprl/SpokenSwag

SpokenSwag We present here SpokenSwag as described in the paper "Slamming: Training a Speech Language Model on One GPU in a Day". This dataset is based on allenai/swag and synthetised with 4 speakers from hexgrad/Kokoro-82M. We show that perfoming DPO over the dataset can really improve performance of Speech Language Models. We encourage you to also see the following resources, for further information: Project Page: https://pages.cs.huji.ac.il/adiyoss-lab/slamming/ Paper:… See the full description on the dataset page: https://huggingface.co/datasets/slprl/SpokenSwag.

<iframe src="https://silytics.si/embed/item/50b551fe-0caa-433c-aea3-16e7db296df1" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.