Check dataset validity

Before you download a dataset from the Hub, it is helpful to know if a specific dataset you’re interested in is available. Datasets Server provides the /is-valid endpoint to check if a specific dataset works without any errors.

The API endpoint will return an error for datasets that cannot be loaded with the Datasets library, for example, because the data hasn’t been uploaded or the format is not supported.

This guide shows you how to check dataset validity programmatically, but free to try it out with Postman, RapidAPI, or ReDoc.

Check if a dataset is valid

/is-valid checks whether a specific dataset loads without any error. This endpoint’s query parameter requires you to specify the name of the dataset:

import requests
headers = {"Authorization": f"Bearer {API_TOKEN}"}
API_URL = "https://datasets-server.huggingface.co/is-valid?dataset=rotten_tomatoes"
def query():
    response = requests.get(API_URL, headers=headers)
    return response.json()
data = query()

The response looks like this if a dataset is valid:

{
  "viewer": true,
  "preview": true
}

If only the first rows of a dataset are available, then the response looks like:

{
  "viewer": false,
  "preview": true
}

Finally, if the dataset is not valid at all, then the response is:

{
  "viewer": false,
  "preview": false
}

Some cases where a dataset is not valid are:

• the dataset viewer is disabled
• the dataset is gated but the access is not granted: no token is passed or the passed token is not authorized
• the dataset is private
• the dataset contains no data or the data format is not supported