Can't give you the exact method as do not know your context, but this are some things you can do for this
First, you will need to determine the format and structure of your data. For example, is it stored in a file or in a database? What are the fields or columns that are included in your data?
Based on the structure of your data, you will need to modify the init method of the MyDataset class to correctly parse and extract the relevant data. For example, if your data is stored in a file with three columns, you will need to modify the code to read in these columns and store them in the appropriate variables (e.g., title, text, and Claims).
You will also need to modify the getitem method of the MyDataset class to properly process and encode your data for use with the transformer model. For example, you may need to modify the input variable to reflect the structure of your data (e.g., if your data has additional fields or columns that you want to include). You may also need to modify the tokenizer function call to reflect the specific tokenization and encoding options that you want to use.
Finally, you may need to modify the len method of the MyDataset class to accurately return the number of data points in your dataset.
- Accepted AnswerEXPERTasked 2 years ago
- Accepted Answerasked 5 years ago
- AWS OFFICIALUpdated 2 months ago
- AWS OFFICIALUpdated a month ago
- AWS OFFICIALUpdated 5 months ago
- AWS OFFICIALUpdated a year ago
- EXPERTpublished 5 months ago
- EXPERTpublished 4 months ago