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Could you release the inference_raw.json file used in text_parsing.py for test evaluation?
To reproduce the _BIP-ALM_method test, we need the multimodal_representations.json file. However, generating this file requires running text_parsing.py with inference_raw.json, which is not currently available in the repo (and also lacks instructions on how to create it).
If the inference_raw.json file can be released (or, more straightforwardly, if the final evaluation test data multimodal_representations.json for BIP-ALM can be released), it will enable successfully reproducing the test evaluation of the proposed BIP-ALM method. This would help to enhance the impact and reproducibility of this smart paper within the community.
Thank you very much!
The text was updated successfully, but these errors were encountered:
We have released the requested files. You can now find them in the folder "files" for use in reproducing our results. Thank you for bringing this to our attention!
We have released the requested files. You can now find them in the folder "files" for use in reproducing our results. Thank you for bringing this to our attention!
Thank you very much, Chuanyang! They are super helpful.
I would also like to share some additional .json files used in the middle process: Google Drive folder in case anyone wants to use them.
chunhuizng
changed the title
lack of inference_raw.json for BIP-ALM test evaluation in reproducing
✅ inference_raw.json for BIP-ALM test evaluation in reproducing
Jun 20, 2024
Hi Chuanyang,
Could you release the
inference_raw.json
file used intext_parsing.py
for test evaluation?To reproduce the _BIP-ALM_method test, we need the
multimodal_representations.json
file. However, generating this file requires runningtext_parsing.py
withinference_raw.json
, which is not currently available in the repo (and also lacks instructions on how to create it).If the
inference_raw.json
file can be released (or, more straightforwardly, if the final evaluation test datamultimodal_representations.json
for BIP-ALM can be released), it will enable successfully reproducing the test evaluation of the proposed BIP-ALM method. This would help to enhance the impact and reproducibility of this smart paper within the community.Thank you very much!
The text was updated successfully, but these errors were encountered: