Buckets:

rtrm's picture
|
download
raw
1.55 kB
# Command Line Interface (CLI)
🤗 Datasets provides a command line interface (CLI) with useful shell commands to interact with your dataset.
You can check the available commands:
```bash
>>> datasets-cli --help
usage: datasets-cli <command> [<args>]
positional arguments:
{env,test,delete_from_hub}
datasets-cli command helpers
env Print relevant system environment info.
test Test dataset loading.
delete_from_hub Delete dataset config from the Hub
optional arguments:
-h, --help show this help message and exit
```
## Delete from Hub
Delete a dataset configuration from a [supported dataset](repository_structure) on the Hub.
```bash
>>> datasets-cli delete_from_hub --help
usage: datasets-cli <command> [<args>] delete_from_hub [-h] [--token TOKEN] [--revision REVISION] dataset_id config_name
positional arguments:
dataset_id source dataset ID, e.g. USERNAME/DATASET_NAME or ORGANIZATION/DATASET_NAME
config_name config name to delete
optional arguments:
-h, --help show this help message and exit
--token TOKEN access token to the Hugging Face Hub
--revision REVISION source revision
```
For example:
```bash
>>> datasets-cli delete_from_hub USERNAME/DATASET_NAME CONFIG_NAME
```
> [!TIP]
> Do not forget that you need to log in first to your Hugging Face account:
> ```bash
> >>> hf auth login
> ```
<EditOnGithub source="https://github.com/huggingface/datasets/blob/main/docs/source/cli.mdx" />

Xet Storage Details

Size:
1.55 kB
·
Xet hash:
46e33688907d00130c2f0fe8dbb968e558ac3de50d5c1840e6292229e6ad888b

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.