regression.dl19-doc-segmented.wp-ca.yaml Maven / Gradle / Ivy

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---
corpus: msmarco-doc-segmented
corpus_path: collections/msmarco/msmarco-doc-segmented/

index_path: indexes/lucene-inverted.msmarco-v1-doc-segmented.wp-ca/
collection_class: JsonCollection
generator_class: DefaultLuceneDocumentGenerator
index_threads: 16
index_options: -storePositions -storeDocvectors -storeRaw -analyzeWithHuggingFaceTokenizer bert-base-uncased -useCompositeAnalyzer
index_stats:
  documents: 20545677
  documents (non-empty): 20545677
  total terms: 9539433626

metrics:
  - metric: AP@100
    command: bin/trec_eval
    params: -c -M 100 -m map # Note, this is different DL 2019 passage ranking!
    separator: "\t"
    parse_index: 2
    metric_precision: 4
    can_combine: false
  - metric: nDCG@10
    command: bin/trec_eval
    params: -c -m ndcg_cut.10
    separator: "\t"
    parse_index: 2
    metric_precision: 4
    can_combine: false
  - 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: TsvInt
topics:
  - name: "[DL19 (Doc)](https://trec.nist.gov/data/deep2019.html)"
    id: dl19
    path: topics.dl19-doc.txt
    qrel: qrels.dl19-doc.txt

models:
  - name: bm25-default
    display: BM25 (default)
    params: -bm25 -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 1000 -analyzeWithHuggingFaceTokenizer bert-base-uncased -useCompositeAnalyzer
    results:
      AP@100:
        - 0.2604
      nDCG@10:
        - 0.5396
      R@100:
        - 0.4040
      R@1000:
        - 0.6813