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msmarco-v1-passage.docTTTTTquery.yaml
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msmarco-v1-passage.docTTTTTquery.yaml
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---
corpus: msmarco-passage-docTTTTTquery
corpus_path: collections/msmarco/msmarco-passage-docTTTTTquery/
index_path: indexes/lucene-inverted.msmarco-v1-passage.docTTTTTquery/
collection_class: JsonCollection
generator_class: DefaultLuceneDocumentGenerator
index_threads: 18
index_options: -storePositions -storeDocvectors -storeRaw
index_stats:
documents: 8841823
documents (non-empty): 8841823
total terms: 1986612263
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@10
command: bin/trec_eval
params: -c -M 10 -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 Passage: Dev](https://github.com/microsoft/MSMARCO-Passage-Ranking)"
id: dev
path: topics.msmarco-passage.dev-subset.txt
qrel: qrels.msmarco-passage.dev-subset.txt
models:
- name: bm25-default
display: BM25 (default)
params: -bm25
results:
AP@1000:
- 0.2805
RR@10:
- 0.2723
R@100:
- 0.8192
R@1000:
- 0.9470
# PRF regressions are no longer maintained for sparse judgments to reduce running times.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
# results:
# AP@1000:
# - 0.2241
# RR@10:
# - 0.2139
# R@100:
# - 0.8000
# R@1000:
# - 0.9460
# - name: bm25-default+rocchio
# display: +Rocchio
# params: -bm25 -rocchio
# results:
# AP@1000:
# - 0.2260
# RR@10:
# - 0.2158
# R@100:
# - 0.8019
# R@1000:
# - 0.9467
# - name: bm25-default+rocchio-neg
# display: +Rocchio*
# params: -bm25 -rocchio -rocchio.useNegative -rerankCutoff 1000
# results:
# AP@1000:
# - 0.2234
# RR@10:
# - 0.2129
# R@100:
# - 0.8025
# R@1000:
# - 0.9475
- name: bm25-tuned
display: BM25 (tuned)
params: -bm25 -bm25.k1 0.82 -bm25.b 0.68
results:
AP@1000:
- 0.2850
RR@10:
- 0.2768
R@100:
- 0.8190
R@1000:
- 0.9471
# PRF regressions are no longer maintained for sparse judgments to reduce running times.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 0.82 -bm25.b 0.68 -rm3
# results:
# AP@1000:
# - 0.2260
# RR@10:
# - 0.2154
# R@100:
# - 0.8030
# R@1000:
# - 0.9479
# - name: bm25-tuned+rocchio
# display: +Rocchio
# params: -bm25 -bm25.k1 0.82 -bm25.b 0.68 -rocchio
# results:
# AP@1000:
# - 0.2277
# RR@10:
# - 0.2174
# R@100:
# - 0.8052
# R@1000:
# - 0.9496
# - name: bm25-tuned+rocchio-neg
# display: +Rocchio*
# params: -bm25 -bm25.k1 0.82 -bm25.b 0.68 -rocchio -rocchio.useNegative -rerankCutoff 1000
# results:
# AP@1000:
# - 0.2276
# RR@10:
# - 0.2173
# R@100:
# - 0.8072
# R@1000:
# - 0.9493
- name: bm25-tuned2
display: BM25 (tuned2)
params: -bm25 -bm25.k1 2.18 -bm25.b 0.86
results:
AP@1000:
- 0.2893
RR@10:
- 0.2816
R@100:
- 0.8277
R@1000:
- 0.9506
# 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-tuned2+rm3
# display: +RM3
# params: -bm25 -bm25.k1 2.18 -bm25.b 0.86 -rm3
# results:
# AP@1000:
# - 0.2472
# RR@10:
# - 0.2382
# R@100:
# - 0.8226
# R@1000:
# - 0.9528
# - name: bm25-tuned2+rocchio
# display: +Rocchio
# params: -bm25 -bm25.k1 2.18 -bm25.b 0.86 -rocchio
# results:
# AP@1000:
# - 0.2488
# RR@10:
# - 0.2395
# R@100:
# - 0.8238
# R@1000:
# - 0.9535
# - name: bm25-tuned2+rocchio-neg
# display: +Rocchio*
# params: -bm25 -bm25.k1 2.18 -bm25.b 0.86 -rocchio -rocchio.useNegative -rerankCutoff 1000
# results:
# AP@1000:
# - 0.2467
# RR@10:
# - 0.2372
# R@100:
# - 0.8227
# R@1000:
# - 0.9539