I have a question that I'd like to upload datasets to my doccano annotation project in which the labels have been already set beforehand in 8 classes with tags.
I'd like to know what is the correct uploading format of CSV or JSON for multi-label classification datasets with text and label column.
For example, I have 8 classes (a, b, c ,... ,h)
When I upload the file in this kind of format:
| text | label |
| ------ | --------- |
| text_1 | [a, b] |
| text_2 | [a, b ,c] |
| text_3 | [a, c] |
It is expected for text_1, it will only shows a and b, yet it turn out to be like [a, b]
Another example with screenshot.
0-7 are my project defined classes, in this cases it is expected only showing the correct marks in the labels with tags number 5 and 6. However it return a lot of mixing label list.
How do I modify my uploading dataset format to do it?

I found a solution,
there are a lot of mistaken labels in this project since at the beginning I upload the label column in the wrong format
"[a, b]"(while it requires array) and it is stored inside the project. This kind ofwrong labelmay mess up the following uploadNow the annotation is fine like:
