conditions:
  - model_name: BM25-k1_0.9_b_0.4
    command: 
      - python -m pyserini.search.lucene --threads 72 --batch-size 128 --index wikipedia-dpr --topics nq-test --output $output --bm25 --k1 0.9 --b 0.4
    scores:
      - Top5: 44.82
        Top20: 64.02
        Top100: 79.20
        Top500: 86.59
        Top1000: 88.95
  - model_name: BM25-k1_0.9_b_0.4_dpr-topics
    command: 
      - python -m pyserini.search.lucene --threads 72 --batch-size 128 --index wikipedia-dpr --topics dpr-nq-test --output $output --bm25 --k1 0.9 --b 0.4
    scores:
      - Top5: 43.77
        Top20: 62.99
        Top100: 78.23
        Top500: 85.60
        Top1000: 88.01
  - model_name: GarT5-RRF
    command: 
      - python -m pyserini.search.lucene --threads 72 --batch-size 128 --index wikipedia-dpr --topics nq-test-gar-t5-answers --output $output --bm25 --k1 0.9 --b 0.4
      - python -m pyserini.search.lucene --threads 72 --batch-size 128 --index wikipedia-dpr --topics nq-test-gar-t5-titles --output $output --bm25 --k1 0.9 --b 0.4
      - python -m pyserini.search.lucene --threads 72 --batch-size 128 --index wikipedia-dpr --topics nq-test-gar-t5-sentences --output $output --bm25 --k1 0.9 --b 0.4
    scores:
      - Top5: 64.62
        Top20: 77.17
        Top100: 86.90
        Top500: 91.63
        Top1000: 92.91
  - model_name: DPR
    command: 
      - python -m pyserini.search.faiss --threads 72 --batch-size 128 --index wikipedia-dpr-single-nq-bf --encoder facebook/dpr-question_encoder-single-nq-base --topics nq-test --output $output
    scores:
      - Top5: 68.61
        Top20: 80.58 
        Top100: 86.68
        Top500: 90.91
        Top1000: 91.83
  - model_name: DPR-DKRR
    command: 
      - 'python -m pyserini.search.faiss --threads 72 --batch-size 128 --index wikipedia-dpr-dkrr-nq --encoder castorini/dkrr-dpr-nq-retriever --topics nq-test --output $output --query-prefix question: '
    scores:
      - Top5: 73.80
        Top20: 84.27
        Top100: 89.34
        Top500: 92.24
        Top1000: 93.43
  - model_name: DPR-Hybrid
    command: 
      - python -m pyserini.search.hybrid dense --index wikipedia-dpr-single-nq-bf --encoder facebook/dpr-question_encoder-single-nq-base sparse --index wikipedia-dpr fusion --alpha 1.2 run --topics nq-test --output $output --threads 72 --batch-size 128 
    scores:
      - Top5: 72.52
        Top20: 83.43
        Top100: 89.03
        Top500: 92.16
        Top1000: 93.19
  - model_name: GarT5RRF-DKRR-RRF
    command:
      - ''
    scores:
      - Top5: 74.57
        Top20: 84.90
        Top100: 90.86
        Top500: 93.35
        Top1000: 94.18