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This issue keeps track of the filter actions and functionality. Apart from the string filter (includes), everything else is optional for now.
String filter (includes)
Checks if a span/string is included in one of the text fields, e.g. includes spider
Prediction filter (predictionfilter)
Checks if the model predicted this label, e.g. predictionfilter offensive (OLID)
Label filter (labelfilter) [in TTM, but not yet adapted]
Checks if the true label is equal to this label, e.g. labelfilter commissive (DD)
Length filter (lengthfilter)
Checks if the instance is above or below a certain length, e.g. lengthfilter words above 30 would show all instances with 30 words or more. Possibly extensible to more parameters like text fields (is one specific field longer than the value). This should work similarly to the numerical filters in TTM (there are already equality terms implemented in the grammar). Possible arguments are words, sents (sentences) and chars (characters)
Similarity filter (similarityfilter or similar n and …)
Checks if the instance is among the n instances selected with similar n in a previous turn.
The text was updated successfully, but these errors were encountered:
This issue keeps track of the filter actions and functionality. Apart from the string filter (includes), everything else is optional for now.
String filter (
includes
)Checks if a span/string is included in one of the text fields, e.g.
includes spider
Prediction filter (
predictionfilter
)Checks if the model predicted this label, e.g.
predictionfilter offensive
(OLID)Label filter (
labelfilter
) [in TTM, but not yet adapted]Checks if the true label is equal to this label, e.g.
labelfilter commissive
(DD)Length filter (
lengthfilter
)Checks if the instance is above or below a certain length, e.g.
lengthfilter words above 30
would show all instances with 30 words or more. Possibly extensible to more parameters like text fields (is one specific field longer than the value). This should work similarly to the numerical filters in TTM (there are alreadyequality
terms implemented in the grammar). Possible arguments arewords
,sents
(sentences) andchars
(characters)Similarity filter (
similarityfilter
orsimilar n and …
)Checks if the instance is among the n instances selected with
similar n
in a previous turn.The text was updated successfully, but these errors were encountered: