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June 2023 hackathon priorities
Tim Miller edited this page Jun 2, 2023
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We will have a mostly in-person hackathon in Boston on June 7 12-4 PM. The goal will be to get close to a 0.6 release that can be completed within a week or so of the hackathon (if not same day). This page can be used to document priorities for the hackathon for different individuals. I will make some suggestions here but feel free to move around.
- TM - Update docker models and implement new general models
TM - Get arbitrary multiple task/multiple dataset invocations working (#137, #138)- AD - DAPT implementation
- EG - Add a flag so that --do_eval can print out gold labels in a separate column in predictions file for easier error analysis (no issue yet)
WZ - Implement --do_predict to write outputs for all task types (no issue yet)- SW - Create script for transforming label studio export outputs into cnlpt input format for MDRs
TM - Clean up train_system (move arguments into separate file)TM - Add cnlpt version to model config- TM - Check version number when reading models and do something intelligent
- AD - Warned dataclasses (#46)
- DX - Finalize concept normalization (#3)
- EG - Use pipelines? (#60)
- WZ - Model selection score argument (#96)
- TM, EG - Add generation as a task mode to allow encoder-decoder models