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dl23-doc-msmarco-v2.1.yaml
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dl23-doc-msmarco-v2.1.yaml
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---
corpus: msmarco-v2.1-doc
corpus_path: collections/msmarco/msmarco_v2.1_doc/
index_path: indexes/lucene-inverted.msmarco-v2.1-doc/
collection_class: MsMarcoV2DocCollection
generator_class: DefaultLuceneDocumentGenerator
index_threads: 24
index_options: -storeRaw
index_stats:
documents: 10960555
documents (non-empty): 10960555
total terms: 12710796540
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: "[DL23 (Doc)](https://microsoft.github.io/msmarco/TREC-Deep-Learning)"
id: dl23
path: topics.dl23.txt
qrel: qrels.dl23-doc-msmarco-v2.1.txt
models:
- name: bm25-default
display: BM25 (default)
params: -hits 1000 -bm25
results:
MAP@100:
- 0.1089
MRR@100:
- 0.5783
nDCG@10:
- 0.2914
R@100:
- 0.2604
R@1000:
- 0.5383
- name: bm25-default+rm3
display: +RM3
params: -hits 1000 -bm25 -rm3 -collection MsMarcoV2DocCollection
results:
MAP@100:
- 0.1268
MRR@100:
- 0.4824
nDCG@10:
- 0.2579
R@100:
- 0.2800
R@1000:
- 0.5529
- name: bm25-default+rocchio
display: +Rocchio
params: -hits 1000 -bm25 -rocchio -collection MsMarcoV2DocCollection
results:
MAP@100:
- 0.1281
MRR@100:
- 0.5054
nDCG@10:
- 0.2679
R@100:
- 0.2889
R@1000:
- 0.5543