Datasets:
Tasks:
Question Answering
Modalities:
Audio
Formats:
soundfolder
Languages:
English
Size:
< 1K
ArXiv:
License:
| license: apache-2.0 | |
| task_categories: | |
| - question-answering | |
| language: | |
| - en | |
| size_categories: | |
| - n<1K | |
| # The proposed Long-Speech understanding evaluation dataset for the paper '[FastLongSpeech: Enhancing Large Speech-Language Models for Efficient Long-Speech Processing](https://arxiv.org/abs/2507.14815)' | |
| ## Usage | |
| First download the model from [Model](https://huggingface.co/ICTNLP/FastLongSpeech). | |
| Then please refer to [Github Page](https://github.com/ictnlp/FastLongSpeech). | |
| ### Requirements | |
| We suggest to run with Python 3.10. | |
| Examples of usage: | |
| ``` | |
| git clone https://github.com/ictnlp/FastLongSpeech.git | |
| cd transformers-main | |
| pip install -e . | |
| pip install deepspeed sentencepiece librosa | |
| ``` | |
| ## Training Model | |
| - https://huggingface.co/ICTNLP/FastLongSpeech | |
| ## Github Pages | |
| - https://github.com/ictnlp/FastLongSpeech |