'Huggingface datasets ValueError

I am trying to load a dataset from huggingface organization, but I am getting the following error:

ValueError: Couldn't cast string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 686
to
{'text': Value(dtype='string', id=None)}
because column names don't match

I used the following lines of code to load the dataset:

from datasets import load_dataset
dataset = load_dataset("datasetFile", use_auth_token=True)

Pleases note the dataset version = (2.0.0), I changed it to 1.18.2 but it did not work.

Is there any way to fix this error?



Solution 1:[1]

I solved this error by streaming the dataset.

from datasets import load_dataset
dataset = load_dataset("datasetFile", use_auth_token=True, streaming= True)

Sources

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Source: Stack Overflow

Solution Source
Solution 1 TMN