slprl/sTinyStories
sTinyStories A spoken version of TinyStories Synthesized with LJ voice using FastSpeech2. The dataset was synthesized to boost the training of Speech Language Models as detailed in the paper "Slamming: Training a Speech Language Model on One GPU in a Day". It was first suggested by Cuervo et. al 2024. We refer you to the SlamKit codebase to see how you can train a SpeechLM with this dataset. Usage from datasets import load_dataset dataset =… See the full description on the dataset page: https://huggingface.co/datasets/slprl/sTinyStories.
| Author / organization | slprl |
|---|---|
| License (as declared) | mit |
| Downloads | 317 (as reported by Hugging Face) |
| Likes | 13 |
| Created | 29 January 2025 |
| Last updated at source | 5 March 2025 |
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- 17 Oct 2026 Description: sTinyStories A spoken version of TinyStories Synthesized with LJ voice using FastSpeech2. The dataset was synthesized to boost the training of Speech Language Models as detailed in the paper "Slamming: Training a Speech Language Model on On → sTinyStories A spoken version of TinyStories Synthesized with LJ voice using FastSpeech2. The dataset was synthesized to boost the training of Speech Language Models as detailed in the paper "Slamming: Training a Speech Language Model on On
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.