Managing Datasets: Delete or Update Methods for client.datasets

Rasmus B. · 2025-12-04 01:48:16.333582+00

There seems to be a limited number of methods on the client.datasets object. In particular, how do I delete a dataset, or update it with a new version? Currently it seems I am forced to delete it from the UI?

Managing Datasets: Delete or Update Methods for client.datasets | Arize AI Community

7 comments

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RunLLM
APP
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You can delete a dataset programmatically using the Python client or REST API; the client.datasets object supports deletion via the delete method, which calls the /v1/datasets/{id} endpoint (API docs, TypeScript API). For updating a dataset with new examples, use add_examples_to_dataset, which appends data and creates a new version—however, you cannot overwrite or replace the entire dataset in place; full upsert or replacement is not currently supported (client docs, issue discussion).If you need to update the dataset content entirely, the current workaround is to delete the dataset and recreate it, or use versioning by appending new examples. Direct in-place editing or overwriting of all examples is not available via the SDK or API as of now (issue #9303, client migration guide). Would you like more detail or code examples for these operations?Sources: - API docs - TypeScript API - client docs - issue discussion - client migration guide
💡 Hint: Mention RunLLM in the thread for followups.
Sanjana
External
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Hi Rasmus B. - the bot is correct here. This is the more exhaustive list of what you can do with datasets using the REST API (including delete). https://arize.com/docs/phoenix/sdk-api-reference/rest-api/api-reference/datasets
Sanjana
External
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When you add examples to the data (update) it will be versioned
Rasmus B.
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thanks 🔒[private user] feel like I searched the python API and did not see the delete method, will check again. Otherwise I will try REST. Is there a shortcut for sending REST calls through the client with the correct headers etc?
Rasmus B.
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RunLLM feel like I searched the python API and did not see the delete method. Is there otherwise a shortcut for sending REST calls through the client with the correct headers etc?
RunLLM
APP
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The Python client does not expose a direct delete method on client.datasets in all versions, but you can use the underlying HTTP session of the client to send REST calls with the correct headers and authentication automatically handled (client docs). For example, you can use client._client.delete("/v1/datasets/{id}") to send a DELETE request with proper headers.Would you like a code example for this approach?Sources: - client docs
💡 Hint: Mention RunLLM in the thread for followups.
Sanjana
External
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Hi Rasmus B.! Sorry for the confusion in my wording - you are right there is no delete method in teh python API. REST is the way to go like the bot described
👍1

RunLLM
APP
·
·
You can delete a dataset programmatically using the Python client or REST API; the client.datasets object supports deletion via the delete method, which calls the /v1/datasets/{id} endpoint (API docs, TypeScript API). For updating a dataset with new examples, use add_examples_to_dataset, which appends data and creates a new version—however, you cannot overwrite or replace the entire dataset in place; full upsert or replacement is not currently supported (client docs, issue discussion).If you need to update the dataset content entirely, the current workaround is to delete the dataset and recreate it, or use versioning by appending new examples. Direct in-place editing or overwriting of all examples is not available via the SDK or API as of now (issue #9303, client migration guide). Would you like more detail or code examples for these operations?Sources: - API docs - TypeScript API - client docs - issue discussion - client migration guide
💡 Hint: Mention RunLLM in the thread for followups.
Sanjana
External
·
Hi Rasmus B. - the bot is correct here. This is the more exhaustive list of what you can do with datasets using the REST API (including delete). https://arize.com/docs/phoenix/sdk-api-reference/rest-api/api-reference/datasets
Sanjana
External
·
When you add examples to the data (update) it will be versioned
Rasmus B.
·
·
thanks 🔒[private user] feel like I searched the python API and did not see the delete method, will check again. Otherwise I will try REST. Is there a shortcut for sending REST calls through the client with the correct headers etc?
Rasmus B.
·
·
RunLLM feel like I searched the python API and did not see the delete method. Is there otherwise a shortcut for sending REST calls through the client with the correct headers etc?
RunLLM
APP
·
·
The Python client does not expose a direct delete method on client.datasets in all versions, but you can use the underlying HTTP session of the client to send REST calls with the correct headers and authentication automatically handled (client docs). For example, you can use client._client.delete("/v1/datasets/{id}") to send a DELETE request with proper headers.Would you like a code example for this approach?Sources: - client docs
💡 Hint: Mention RunLLM in the thread for followups.
Sanjana
External
·
Hi Rasmus B.! Sorry for the confusion in my wording - you are right there is no delete method in teh python API. REST is the way to go like the bot described
👍1