This morning I was trying to run Donut on Kaggle. The structure of the dataset is similar with the one defined on the documentation. However, when I am trying train the model, an error occurred, saying that the "ground truth" didn't exist. While checking on the sample, it shows that the load_dataset recognize the folder name as label and ignore the metadata.jsonl file inside the folder.
Good afternoon,
This morning I was trying to run Donut on Kaggle. The structure of the dataset is similar with the one defined on the documentation. However, when I am trying train the model, an error occurred, saying that the "ground truth" didn't exist. While checking on the sample, it shows that the load_dataset recognize the folder name as label and ignore the metadata.jsonl file inside the folder.![image](https://github.com/clovaai/donut/assets/77319187/e6d23db7-97af-4857-98e0-b012589cdc0e)
I can read the jsonl file via command, tho.![image](https://github.com/clovaai/donut/assets/77319187/d3fd0186-a0fc-40d7-b30e-f8ba908487e1)
I prepare the Donut with this code:
Thank you for your help