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saliency-based-citation/launch_padding_ablation.sh
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ANS_PATH=data/eli5_eval_bm25_top100_reranked_oracle_answers_llama31_70B_42.json | |
echo "Using answers from $ANS_PATH" | |
for span_padding in $(seq 0 1 20); do | |
echo "Running with span_padding=$span_padding" | |
python run_pipeline.py \ | |
--eli5_ans_path $ANS_PATH \ | |
--attribution_system sliding_window \ | |
--yaml_config llama31_8B.yaml \ | |
--output_path attribution_results_padding_ablation \ | |
--span_padding $span_padding \ | |
--debug_num_samples 100 | |
done |