amazon-agi/SIFT-50M
Dataset Card for SIFT-50M SIFT-50M (Speech Instruction Fine-Tuning) is a 50-million-example dataset designed for instruction fine-tuning and pre-training of speech-text large language models (LLMs). It is built from publicly available speech corpora containing a total of 14K hours of speech and leverages LLMs and off-the-shelf expert models. The dataset spans five languages, covering diverse aspects of speech understanding and controllable speech generation instructions.… See the full description on the dataset page: https://huggingface.co/datasets/amazon-agi/SIFT-50M.
| Author / organization | amazon-agi |
|---|---|
| License (as declared) | cdla-sharing-1.0 |
| Downloads | 834 (as reported by Hugging Face) |
| Likes | 39 |
| Created | 24 March 2025 |
| Last updated at source | 21 August 2025 |
Recent changes
- 16 Oct 2026 Description: Dataset Card for SIFT-50M SIFT-50M (Speech Instruction Fine-Tuning) is a 50-million-example dataset designed for instruction fine-tuning and pre-training of speech-text large language models (LLMs). It is built from publicly available speec → Dataset Card for SIFT-50M SIFT-50M (Speech Instruction Fine-Tuning) is a 50-million-example dataset designed for instruction fine-tuning and pre-training of speech-text large language models (LLMs). It is built from publicly available speec
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