Comments (2)
That makes it clear, thank you! So, --top_k
is used to fetch a larger number of phrases, and the length of the final results depends on --psg_top_k
.
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Hi @dhdhagar! Thanks for your issue.
In this makefile line:
Line 490 in 3a0365e
you can see that we are retrieving top 200 phrases first. And the aggregation based on the unique passages happen here:
https://github.com/princeton-nlp/DensePhrases/blob/main/densephrases/index.py#L430
For our current datasets provided, this is enough to ensure outputting 100 passages per query. There are a very small number of edge cases where top 100 passages are not retrieved even with this setting, and you can enlarge the top-k to 400 in the makefile. Currently there's no automatic procedure for this.
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