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msmarco-v1-doc-segmented.docTTTTTquery.yaml
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---
corpus: msmarco-doc-segmented-docTTTTTquery
corpus_path: collections/msmarco/msmarco-doc-segmented-docTTTTTquery/
index_path: indexes/lucene-inverted.msmarco-v1-doc-segmented.docTTTTTquery/
collection_class: JsonCollection
generator_class: DefaultLuceneDocumentGenerator
index_threads: 16
index_options: -storePositions -storeDocvectors -storeRaw
index_stats:
documents: 20545677
documents (non-empty): 20545677
total terms: 4206646183
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 -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 1000
results:
AP@1000:
- 0.3184
RR@100:
- 0.3179
R@100:
- 0.8479
R@1000:
- 0.9490
# PRF regressions are no longer maintained for sparse judgments to reduce running times.
# (commenting out instead of removing; in case these numbers are needed, just uncomment and rerun.)
#
# - name: bm25-default+rm3
# display: +RM3
# params: -bm25 -rm3 -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 1000
# results:
# AP@1000:
# - 0.2808
# RR@100:
# - 0.2803
# R@100:
# - 0.8477
# R@1000:
# - 0.9551
# - name: bm25-default+rocchio
# display: +Rocchio
# params: -bm25 -rocchio -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 1000
# results:
# AP@1000:
# - 0.2846
# RR@100:
# - 0.2841
# R@100:
# - 0.8479
# R@1000:
# - 0.9551
- name: bm25-tuned
display: BM25 (tuned)
params: -bm25 -bm25.k1 2.56 -bm25.b 0.59 -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 1000
results:
AP@1000:
- 0.3213
RR@100:
- 0.3209
R@100:
- 0.8627
R@1000:
- 0.9530
# PRF regressions are no longer maintained for sparse judgments to reduce running times.
# (commenting out instead of removing; in case these numbers are needed, just uncomment and rerun.)
#
# - name: bm25-tuned+rm3
# display: +RM3
# params: -bm25 -bm25.k1 2.56 -bm25.b 0.59 -rm3 -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 1000
# results:
# AP@1000:
# - 0.2978
# RR@100:
# - 0.2973
# R@100:
# - 0.8573
# R@1000:
# - 0.9563
# - name: bm25-tuned+rocchio
# display: +Rocchio
# params: -bm25 -bm25.k1 2.56 -bm25.b 0.59 -rocchio -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 1000
# results:
# AP@1000:
# - 0.2998
# RR@100:
# - 0.2994
# R@100:
# - 0.8600
# R@1000:
# - 0.9571