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dacon-hansoldeco-season3

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Results

Due to the competition's evaluation metrics, the final evaluation to select the winners was limited to those who wanted to submit, and our team placed 7th out of 24 teams.

Name Type Performance Rank
건설공사 사고 예방 및 대응책 생성 : 한솔데코 시즌3 AI 경진대회 NLP, LLM 🥈 Top2% 7/551 (7/24)

Environment

conda create -n dacon python=3.10
conda activate dacon
pip install -r requirements.txt
pip install flash-attn --no-build-isolation

Methodology

For a detailed explanation of the methodology, please refer to our presentation slides

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Preprocessing

Please use this README for data preprocessing

Query Expansion

python src/expand_query.py \
    --model_name_or_path rtzr/ko-gemma-2-9b-it \
    --test_data ./data/test_preprocessed.csv \
    --output_data ./data/query_expansions.jsonl \
    --token YOUR_HF_TOKEN

RAG

python src/main.py \
    --model_name_or_path rtzr/ko-gemma-2-9b-it \
    --attn_implementation eager \
    --test_data ./data/test_preprocessed.csv \
    --query_expansions_path ./data/query_expansions.jsonl \
    --embedding_model nlpai-lab/KURE-v1 \
    --top_k 30 \
    --documents_path ./data/documents \
    --use_reranker true \
    --reranker_model dragonkue/bge-reranker-v2-m3-ko \
    --reranker_top_k 10 \
    --submission_data ./submissions/submission.csv \
    --token YOUR_HF_TOKEN

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[Dacon] 한솔데코 시즌3 AI 경진대회 (7/24)

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