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dl21-doc-segmented-msmarco-v2.1.yaml
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dl21-doc-segmented-msmarco-v2.1.yaml
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---
corpus: msmarco-v2.1-doc-segmented
corpus_path: collections/msmarco/msmarco_v2.1_doc_segmented/
index_path: indexes/lucene-inverted.msmarco-v2.1-doc-segmented/
collection_class: MsMarcoV2DocCollection
generator_class: DefaultLuceneDocumentGenerator
index_threads: 24
index_options: -storeRaw
index_stats:
documents: 113520750
documents (non-empty): 113520750
total terms: 22707699649
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: TsvInt
topics:
- name: "[DL21 (Doc)](https://microsoft.github.io/msmarco/TREC-Deep-Learning)"
id: dl21
path: topics.dl21.txt
qrel: qrels.dl21-doc-msmarco-v2.1.txt
models:
- name: bm25-default
display: BM25 (default)
params: -bm25 -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 1000
results:
MAP@100:
- 0.2609
MRR@100:
- 0.9026
nDCG@10:
- 0.5778
R@100:
- 0.3811
R@1000:
- 0.7115
- name: bm25-default+rm3
display: +RM3
params: -bm25 -rm3 -collection MsMarcoV2DocCollection -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 1000
results:
MAP@100:
- 0.3084
MRR@100:
- 0.9289
nDCG@10:
- 0.6137
R@100:
- 0.4200
R@1000:
- 0.7839
- name: bm25-default+rocchio
display: +Rocchio
params: -bm25 -rocchio -collection MsMarcoV2DocCollection -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 1000
results:
MAP@100:
- 0.3123
MRR@100:
- 0.9289
nDCG@10:
- 0.6048
R@100:
- 0.4260
R@1000:
- 0.7924