'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
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | TMN |
