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In actions/filter.py: labelfilter(), predfilter(), lengthfilter() modify the temp_dataset from conversation. However, most of our operations won't use it, since they just read data from cache directly -> [Summary] Filters #52
Adversarial examples: we have to use one more new package OpenAttack. Implementation for our use case find here. Disadv. is about the execution time.
Add keyboard shortcuts similar to a Python terminal, e.g. to reset the temp dataset, remove the custom input, or sample actions
2023-05-14
Pagination for dataset viewer (allow user to click through more than just the first page of 10 results, see "Dataset Preview" on Hugging Face)
Hints or tooltips for operations, e.g. that operations like cfe, nlpattribute, rationalize can only be used on single instances --> add hint for button #90
2023-05-15
Clicking on an icon next to an instance in dataset viewer enters "ID xx" into input box
Clicking on a "On this subset..." button next to dataset viewer inserts a random "includes" prompt and caches this temp dataset to be used in the backend
2023-05-17
Add pytest for Lark grammar
2023-05-20
Input box should dynamically expand into multi-line view (see ChatGPT interface)
When hovering over "ID xx" in previous turns, the contents should be shown in a pop-up tooltip
Sample prompts should dynamically choose IDs (not necessarily IDs as hard-coded in prompts folder)
Class names should be highlighted with a background color
Three buttons with possible follow-up questions below the last response -> Clicking them automatically inserts them into the query (User can still edit them)
The text was updated successfully, but these errors were encountered:
2023-04-03
2023-05-11
2023-05-14
2023-05-15
2023-05-17
2023-05-20
The text was updated successfully, but these errors were encountered: