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See the task description at https://dstc12.dstc.community/tracks
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## Coming up
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## Getting started
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Setting up environment and installing packages:
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```
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conda create -n dstc12 python=3.11
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pip install -r requirements.txt
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. s.set_paths.sh
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cd DSTC12
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```
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Baseline code & the getting-started guide
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## Getting familiar with the baseline code
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Running theme detection
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```
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python scripts/run_theme_detection.py <dataset_file> <preferences_file> <result_file>
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```
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Running evaluation:
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coming up
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## Running LLM
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Some parts of logic used in this baseline use an LLM being run locally:
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* theme labeling in `run_theme_detection.py`
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* evaluation of theme labels against the Theme Label Guideline - coming up
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We use `lmsys/vicuna-13b-v1.5` by default which we tested on 4x Nvidia V100's (@16GB each). Please feel free to use the local setup or API access that works best for you. In case of any questions, please feel free to contact the organizers e.g. via Github issues.
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## Security
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