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This repository has been archived by the owner on Oct 31, 2023. It is now read-only.
Thanks for open-sourcing the project. In the paper, you describe Content Snapshot as using n-gram to select the top K-rows. Do you have the code of that part in the repo? I see in your current implementation, you simply randomly choose K-rows for training instead, as shown in the snippet above.
The text was updated successfully, but these errors were encountered:
TaBERT/table_bert/vertical/input_formatter.py
Lines 82 to 83 in cf5351c
Thanks for open-sourcing the project. In the paper, you describe Content Snapshot as using n-gram to select the top K-rows. Do you have the code of that part in the repo? I see in your current implementation, you simply randomly choose K-rows for training instead, as shown in the snippet above.
The text was updated successfully, but these errors were encountered: