anserini/src/main/resources/reproduce/from-document-collection/configs/dl22-doc-segmented-msmarco-v2.1.splade-v3.cached.yaml at master · castorini/anserini · GitHub

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---
corpus: msmarco-v2.1-doc-segmented-splade-v3
corpus_path: collections/msmarco/msmarco_v2.1_doc_segmented_splade-v3

download_url: https://rgw.cs.uwaterloo.ca/pyserini/data/msmarco_v2.1_doc_segmented_splade-v3.tar
download_checksum: c62490569364a1eb0101da1ca4a894d9
download_corpus: msmarco_v2.1_doc_segmented_splade-v3

index_path: indexes/lucene-inverted.msmarco-v2.1-doc-segmented.splade-v3/
collection_class: JsonVectorCollection
generator_class: DefaultLuceneDocumentGenerator
index_threads: 24
index_options: -impact -pretokenized
index_stats:
  documents: 113520750
  documents (non-empty): 113520750
  total terms: 866904601378

metrics:
  - metric: MAP@100
    command: bin/trec_eval
    params: -c -M 100 -m map
    separator: "\t"
    parse_index: 2
    metric_precision: 4
    can_combine: no
  - metric: MRR@100
    command: bin/trec_eval
    params: -c -M 100 -m recip_rank
    separator: "\t"
    parse_index: 2
    metric_precision: 4
    can_combine: true
  - metric: nDCG@10
    command: bin/trec_eval
    params: -c -m ndcg_cut.10
    separator: "\t"
    parse_index: 2
    metric_precision: 4
    can_combine: true
  - metric: R@100
    command: bin/trec_eval
    params: -c -m recall.100
    separator: "\t"
    parse_index: 2
    metric_precision: 4
    can_combine: false
  - metric: R@1000
    command: bin/trec_eval
    params: -c -m recall.1000
    separator: "\t"
    parse_index: 2
    metric_precision: 4
    can_combine: false

topic_reader: TsvString
topics:
  - name: "[DL22 (Doc)](https://microsoft.github.io/msmarco/TREC-Deep-Learning)"
    id: dl22
    path: topics.dl22.splade-v3.tsv.gz
    qrel: qrels.dl22-doc-msmarco-v2.1.txt

models:
  - name: splade-v3-cached
    display: SPLADE-v3
    params: -impact -pretokenized -removeQuery -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 1000
    results:
      MAP@100:
        - 0.1858
      MRR@100:
        - 0.8766
      nDCG@10:
        - 0.5294
      R@100:
        - 0.3184
      R@1000:
        - 0.6024