I am using the latest version clearml server and I am using version 1.9.1 for the sdk.

Here is the code that I am currently using:

if __name__ == "__main__":
    # create clearml data processing task
    dataset = Dataset.create(
        dataset_name="palmer_penguins",
        dataset_project="palmer penguins",
        dataset_tags=["raw"]
    )
    dataset_path = "data/raw/penguins.csv"
    # add the downloaded files to the current dataset
    dataset.add_files(path=dataset_path)
    # upload data to clearml server
    dataset.upload(verbose=True)
    # close the dataset
    dataset.finalize(verbose=True)

This is a simple dummy example that I use for testing deployments of clearml server

Here is the output that I would expect:

Yes, I am using a virtualenv that has pandas and clearml installed.

Thanks a lot, I will have a look at that!

Actually, datasets should have an automatic preview...

Looping in @<1523703436166565888:profile|DeterminedCrab71> & @<1523701435869433856:profile|SmugDolphin23> for visibility

I have been using them for a while, they've always had autopreviews.

I don't think datasets don't have visualization out of the box, you need to add these previews manually. Only HyperDatasets feature from the Scale & Enterprise versions truely visualizes all the data.

According to your code snippet there isn't any visualization add on top of the dataset

ProudElephant77 , I think you might need to finalize the dataset for it to appear

Can you please paste the response from events.debug_images ?

CostlyOstrich36 Do you have any idea how I could debug that?

CostlyOstrich36 Unfortunately that didn't helped 😞

So I added the snippet above to the code,
and now the preview for the first 10 rows shows up. However, the automatic preview is still not working.