five

Animal-Sound-Instructions

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魔搭社区2025-12-05 更新2025-12-06 收录
下载链接:
https://modelscope.cn/datasets/mesolitica/Animal-Sound-Instructions
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资源简介:
# Animal Sound Instructions We gathered from, 1. Birds, [birdclef-2021](https://www.kaggle.com/competitions/birdclef-2021/data) 2. Insecta, [christopher/birdclef-2025](https://huggingface.co/datasets/christopher/birdclef-2025) 3. Amphibia, [christopher/birdclef-2025](https://huggingface.co/datasets/christopher/birdclef-2025) 4. Mammalia, [christopher/birdclef-2025](https://huggingface.co/datasets/christopher/birdclef-2025) We use [Qwen/Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) to generate the answers based on the metadata. ## how to prepare the dataset ```bash huggingface-cli download \ mesolitica/Animal-Sound-Instructions \ --include "*.zip" \ --repo-type "dataset" \ --local-dir './' wget https://gist.githubusercontent.com/huseinzol05/2e26de4f3b29d99e993b349864ab6c10/raw/9b2251f3ff958770215d70c8d82d311f82791b78/unzip.py python3 unzip.py ``` ## Acknowledgement Special thanks to https://www.sns.com.my and Nvidia for 8x H100 node!

# 动物声音指令数据集(Animal Sound Instructions) 本数据集的采集来源如下: 1. 鸟类:源自竞赛数据集[birdclef-2021](https://www.kaggle.com/competitions/birdclef-2021/data) 2. 昆虫纲:源自数据集[christopher/birdclef-2025](https://huggingface.co/datasets/christopher/birdclef-2025) 3. 两栖纲:源自数据集[christopher/birdclef-2025](https://huggingface.co/datasets/christopher/birdclef-2025) 4. 哺乳纲:源自数据集[christopher/birdclef-2025](https://huggingface.co/datasets/christopher/birdclef-2025) 我们基于元数据,使用[Qwen/Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct)生成对应答案。 ## 数据集制备流程 bash huggingface-cli download mesolitica/Animal-Sound-Instructions --include "*.zip" --repo-type "dataset" --local-dir './' wget https://gist.githubusercontent.com/huseinzol05/2e26de4f3b29d99e993b349864ab6c10/raw/9b2251f3ff958770215d70c8d82d311f82791b78/unzip.py python3 unzip.py ## 致谢 特别感谢https://www.sns.com.my以及英伟达(Nvidia)提供的8张H100计算节点!
提供机构:
maas
创建时间:
2025-10-12
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