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executable file 13 lines (12 sloc) 469 Bytes
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