dl19-passage.cohere-embed-english-v3.0.flat.cached.yaml

---
corpus: msmarco-passage-cohere-embed-english-v3.0
corpus_path: collections/msmarco/msmarco-passage-cohere-embed-english-v3.0/

download_url: https://rgw.cs.uwaterloo.ca/pyserini/data/msmarco-passage-cohere-embed-english-v3.0.tar
download_checksum: 06a6e38a0522850c6aa504db7b2617f5

index_path: indexes/lucene-flat.msmarco-v1-passage.cohere-embed-english-v3.0/
index_type: flat
collection_class: JsonDenseVectorCollection
generator_class: DenseVectorDocumentGenerator 
index_threads: 16
index_options: ""

metrics:
  - metric: AP@1000
    command: bin/trec_eval
    params: -m map -c -l 2
    separator: "\t"
    parse_index: 2
    metric_precision: 4
    can_combine: false
  - metric: nDCG@10
    command: bin/trec_eval
    params: -m ndcg_cut.10 -c
    separator: "\t"
    parse_index: 2
    metric_precision: 4
    can_combine: false
  - metric: R@100
    command: bin/trec_eval
    params: -m recall.100 -c -l 2
    separator: "\t"
    parse_index: 2
    metric_precision: 4
    can_combine: false
  - metric: R@1000
    command: bin/trec_eval
    params: -m recall.1000 -c -l 2
    separator: "\t"
    parse_index: 2
    metric_precision: 4
    can_combine: false

topic_reader: JsonIntVector
topics:
  - name: "[DL19 (Passage)](https://trec.nist.gov/data/deep2020.html)"
    id: dl19
    path: topics.dl19-passage.cohere-embed-english-v3.0.jsonl.gz
    qrel: qrels.dl19-passage.txt

models:
  - name: cohere-embed-english-v3.0-flat-cached
    display: cohere-embed-english-v3.0
    type: flat
    params: -hits 1000 -threads 16
    results:
      AP@1000:
        - 0.4884
      nDCG@10:
        - 0.6956
      R@100:
        - 0.6484
      R@1000:
        - 0.8630