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msmarco-v1-passage.splade-pp-ed.cached.yaml
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msmarco-v1-passage.splade-pp-ed.cached.yaml
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---
corpus: msmarco-passage-splade-pp-ed
corpus_path: collections/msmarco/msmarco-passage-splade-pp-ed
download_url: https://rgw.cs.uwaterloo.ca/pyserini/data/msmarco-passage-splade-pp-ed.tar
download_checksum: e489133bdc54ee1e7c62a32aa582bc77
index_path: indexes/lucene-inverted.msmarco-v1-passage.splade-pp-ed/
collection_class: JsonVectorCollection
generator_class: DefaultLuceneDocumentGenerator
index_threads: 16
index_options: -impact -pretokenized -storeDocvectors
index_stats:
documents: 8841823
documents (non-empty): 8841823
total terms: 52376261130
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.splade-pp-ed.tsv.gz
qrel: qrels.msmarco-passage.dev-subset.txt
models:
- name: splade-pp-ed-cached
display: SPLADE++ CoCondenser-EnsembleDistil
params: -impact -pretokenized
results:
AP@1000:
- 0.3884
RR@10:
- 0.3830
R@100:
- 0.9095
R@1000:
- 0.9831
# PRF regressions are no longer maintained for sparse judgments to reduce running times.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: splade-pp-ed-cached+rm3
# display: +RM3
# params: -impact -pretokenized -rm3
# results:
# AP@1000:
# - 0.2967
# RR@10:
# - 0.2882
# R@100:
# - 0.8728
# R@1000:
# - 0.9744
# - name: splade-pp-ed-cached+rocchio
# display: +Rocchio
# params: -impact -pretokenized -rocchio
# results:
# AP@1000:
# - 0.3365
# RR@10:
# - 0.3293
# R@100:
# - 0.8967
# R@1000:
# - 0.9811