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msmarco-v1-doc.wp-ca.yaml
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msmarco-v1-doc.wp-ca.yaml
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---
corpus: msmarco-doc
corpus_path: collections/msmarco/msmarco-doc/
index_path: indexes/lucene-inverted.msmarco-v1-doc.wp-ca/
collection_class: JsonCollection
generator_class: DefaultLuceneDocumentGenerator
index_threads: 7
index_options: -storePositions -storeDocvectors -storeRaw -analyzeWithHuggingFaceTokenizer bert-base-uncased -useCompositeAnalyzer
index_stats:
documents: 3213835
documents (non-empty): 3213835
total terms: 8068479907
metrics:
- metric: AP@1000
command: bin/trec_eval
params: -c -m map
separator: "\t"
parse_index: 2
metric_precision: 4
can_combine: false
- metric: RR@100
command: bin/trec_eval
params: -c -M 100 -m recip_rank
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: "[MS MARCO Doc: Dev](https://github.com/microsoft/MSMARCO-Document-Ranking)"
id: dev
path: topics.msmarco-doc.dev.txt
qrel: qrels.msmarco-doc.dev.txt
models:
- name: bm25-default
display: BM25 (default)
params: -bm25 -analyzeWithHuggingFaceTokenizer bert-base-uncased -useCompositeAnalyzer
results:
AP@1000:
- 0.2410
RR@100:
- 0.2403
R@100:
- 0.7441
R@1000:
- 0.9004