Specify a specific version

Oct 13, 2025 by pynkocean.com 51 views

Introduction

HuggingFace Datasets is a popular library for loading and manipulating datasets in Python. It provides a simple and efficient way to work with datasets, including those hosted on the HuggingFace Hub. The HuggingFace CLI (Command-Line Interface) is a powerful tool for interacting with the HuggingFace Hub and downloading datasets. However, by default, the CLI downloads datasets with modified filenames. In this article, we will explore how to download a HuggingFace dataset via the HuggingFace CLI while keeping the original filenames.

Prerequisites

Before we dive into the details, make sure you have the following prerequisites:

HuggingFace CLI installed on your system. You can install it using pip: pip install huggingface-cli
HuggingFace Hub account. You can create an account on the HuggingFace Hub website.
Dataset hosted on the HuggingFace Hub. For this example, we will use the huuuyeah/MeetingBank_Audio dataset.

Downloading a Dataset via HuggingFace CLI

To download a dataset via the HuggingFace CLI, you can use the following command:

huggingface-cli download huuuyeah/MeetingBank_Audio --repo-type dataset --path /path/to/download/directory

This command downloads the MeetingBank_Audio dataset from the HuggingFace Hub and saves it to the specified directory.

Keeping Original Filenames

By default, the HuggingFace CLI downloads datasets with modified filenames. To keep the original filenames, you can use the --keep-original-filenames flag:

huggingface-cli download huuuyeah/MeetingBank_Audio --repo-type dataset --path /path/to/download/directory --keep-original-filenames

This flag tells the CLI to preserve the original filenames of the dataset.

Example Use Case

Let's say you want to download the MeetingBank_Audio dataset and keep the original filenames. You can use the following command:

huggingface-cli download huuuyeah/MeetingBank_Audio --repo-type dataset --path /path/to/download/directory --keep-original-filenames

This command downloads the dataset and saves it to the specified directory with the original filenames.

Tips and Variations

Here are some additional tips and variations:

Specify a specific version: You can specify a specific version of the dataset using the --version flag. For example: huggingface-cli download huuuyeah/MeetingBank_Audio --repo-type dataset --path /path/to/download/directory --keep-original-filenames --version 1.0.0
Download a subset of the dataset: You can download a subset of the dataset using the --subset flag. For example: huggingface-cli download huuuyeah/MeetingBank_Audio --repo-type dataset --path /path/to/download/directory --keep-original-filenames --subset 1000
Use a different download method: You can use a different download method by specifying the --download-method flag. For example: huggingface-cli download huuuyeah/MeetingBank_Audio --repo-type dataset --path /path/to/download/directory --keep-original-filenames --download-method http

Conclusion

In this article, we explored how to download a HuggingFace dataset via the HuggingFace CLI while keeping the original filenames. We covered the prerequisites, the basic command, and the --keep-original-filenames flag. We also provided an example use case and some additional tips and variations. By following these steps, you can download datasets from the HuggingFace Hub while preserving the original filenames.

Additional Resources

HuggingFace CLI documentation: For more information on the HuggingFace CLI, please refer to the official documentation.
HuggingFace Hub documentation: For more information on the HuggingFace Hub, please refer to the official documentation.
HuggingFace Datasets documentation: For more information on the HuggingFace Datasets library, please refer to the official documentation.

Q: What is the HuggingFace CLI?

A: The HuggingFace CLI (Command-Line Interface) is a powerful tool for interacting with the HuggingFace Hub and downloading datasets. It provides a simple and efficient way to work with datasets, including those hosted on the HuggingFace Hub.

Q: How do I install the HuggingFace CLI?

A: You can install the HuggingFace CLI using pip: pip install huggingface-cli

Q: What is the HuggingFace Hub?

A: The HuggingFace Hub is a platform for hosting and sharing datasets, models, and other resources. It provides a simple and efficient way to discover, download, and use datasets and models.

Q: How do I download a dataset via the HuggingFace CLI?

A: To download a dataset via the HuggingFace CLI, you can use the following command:

huggingface-cli download <dataset_name> --repo-type dataset --path /path/to/download/directory

Replace <dataset_name> with the name of the dataset you want to download.

Q: How do I keep the original filenames when downloading a dataset via the HuggingFace CLI?

A: To keep the original filenames, you can use the --keep-original-filenames flag:

huggingface-cli download <dataset_name> --repo-type dataset --path /path/to/download/directory --keep-original-filenames

Q: Can I specify a specific version of the dataset when downloading via the HuggingFace CLI?

A: Yes, you can specify a specific version of the dataset using the --version flag:

huggingface-cli download <dataset_name> --repo-type dataset --path /path/to/download/directory --keep-original-filenames --version 1.0.0

Q: Can I download a subset of the dataset via the HuggingFace CLI?

A: Yes, you can download a subset of the dataset using the --subset flag:

huggingface-cli download <dataset_name> --repo-type dataset --path /path/to/download/directory --keep-original-filenames --subset 1000

Q: Can I use a different download method when downloading a dataset via the HuggingFace CLI?

A: Yes, you can use a different download method by specifying the --download-method flag:

huggingface-cli download <dataset_name> --repo-type dataset --path /path/to/download/directory --keep-original-filenames --download-method http

Q: What are the benefits of using the HuggingFace CLI to download datasets?

A: The HuggingFace CLI provides a simple and efficient way to download datasets, including those hosted on the HuggingFace Hub. It also provides features such as keeping original filenames, specifying specific versions, and downloading subsets.

Q: Are there any limitations to using the HuggingFace CLI to download datasets?

A: Yes, there are some limitations to using the HuggingFace CLI to download datasets. For example, it may not support all dataset formats or versions. Additionally, it may require additional configuration or setup to use certain features.

Q: How do I troubleshoot issues with the HuggingFace CLI?

A: If you encounter issues with the HuggingFace CLI, you can try the following:

Check the official documentation for troubleshooting guides and FAQs.
Search online for solutions to common issues.
Reach out to the HuggingFace community for support.
File an issue on the HuggingFace CLI GitHub repository.

Q: Can I use the HuggingFace CLI to download datasets from other sources?

A: Yes, you can use the HuggingFace CLI to download datasets from other sources, such as GitHub or other cloud storage services. However, you may need to use additional flags or configuration to specify the source and download method.

Q: How do I contribute to the HuggingFace CLI?

A: If you would like to contribute to the HuggingFace CLI, you can:

File an issue on the HuggingFace CLI GitHub repository.
Submit a pull request with your changes.
Participate in the HuggingFace community and provide feedback and suggestions.

Q: What is the future of the HuggingFace CLI?

A: The HuggingFace CLI is a rapidly evolving tool, and its future is bright. The HuggingFace team is continually working to improve and expand its features, and the community is actively contributing to its development. As the HuggingFace ecosystem continues to grow, the CLI is likely to become an even more essential tool for data scientists and researchers.