LAION-AI / LAION-AI/CLAP

Keyword-to-caption reproducibility

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Python
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Description

Hey authors,
Thank you for the effort you put in publishing the code and answering questions.

Following your answer in #58 I attempted to replicate the examples you showed in appendix F in your paper with the package you referenced gagan3012/keytotext.

I went through all the models they specify in the documentation ('k2t-base', 'k2t', 'k2t-new', 'k2t-tiny', 'mrm8488/t5-base-finetuned-common_gen'), but none gave the results given in the column T5_raw_sentence for the input given in the column Keywords.

  • Could you please elaborate on how you used the code for the K2C augmentation?

Thank you

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Research direction

Start with appendix F, the response in issue #58, and the keytotext documentation. Compare the listed models and the Keywords inputs against the T5_raw_sentence column, then determine what exact K2C augmentation procedure was used. Done means the reproduction steps and expected outputs are explained clearly enough to account for the discrepancy.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

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