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Current behavior
Currently, Masader implements exact matching for the search query and most importantly the dataset name. Having a less strict matching algorithm can improve the quality of the results.
For instance, here are the results on searching for
hate speech
andhate speech
:Proposal
If we use the
difflib
stdlib python package for the matching (after applying lowercasing), we get the following:using the following code snippet:
P.S.: I noticed that because of how the scores are normalized by the length of the query and the dataset, and for short queries, long dataset names (e.g.:
Arabic Hate Speech 2022 Shared Task
) end up being assigned lower similarity scores.More on how the algorithm works here: https://en.wikipedia.org/wiki/Gestalt_pattern_matching#Sample