Datasets:
Tasks:
Question Answering
Modalities:
Audio
Formats:
soundfolder
Languages:
English
Size:
< 1K
ArXiv:
License:
File size: 828 Bytes
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---
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 |