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msmarco-v2-doc-segmented-unicoil-0shot-v2.yaml
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msmarco-v2-doc-segmented-unicoil-0shot-v2.yaml
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---
corpus: msmarco-v2-doc-segmented-unicoil-0shot-v2
corpus_path: collections/msmarco/msmarco_v2_doc_segmented_unicoil_0shot_v2/
download_url: https://rgw.cs.uwaterloo.ca/JIMMYLIN-bucket0/data/msmarco_v2_doc_segmented_unicoil_0shot_v2.tar
download_checksum: c5639748c2cbad0152e10b0ebde3b804
download_corpus: msmarco_v2_doc_segmented_unicoil_0shot_v2
index_path: indexes/lucene-index.msmarco-v2-doc-segmented-unicoil-0shot-v2/
collection_class: JsonVectorCollection
generator_class: DefaultLuceneDocumentGenerator
index_threads: 24
index_options: -impact -pretokenized -storeRaw
index_stats:
documents: 124131414
documents (non-empty): 124131414
total terms: 1204542769110
metrics:
- metric: MAP@100
command: tools/eval/trec_eval.9.0.4/trec_eval
params: -c -M 100 -m map
separator: "\t"
parse_index: 2
metric_precision: 4
can_combine: true
- metric: MRR@100
command: tools/eval/trec_eval.9.0.4/trec_eval
params: -c -M 100 -m recip_rank
separator: "\t"
parse_index: 2
metric_precision: 4
can_combine: true
- metric: R@100
command: tools/eval/trec_eval.9.0.4/trec_eval
params: -c -m recall.100
separator: "\t"
parse_index: 2
metric_precision: 4
can_combine: false
- metric: R@1000
command: tools/eval/trec_eval.9.0.4/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 V2 Doc: Dev](https://microsoft.github.io/msmarco/TREC-Deep-Learning.html)"
id: dev
path: topics.msmarco-v2-doc.dev.unicoil.0shot.tsv.gz
qrel: qrels.msmarco-v2-doc.dev.txt
- name: "[MS MARCO V2 Doc: Dev2](https://microsoft.github.io/msmarco/TREC-Deep-Learning.html)"
id: dev2
path: topics.msmarco-v2-doc.dev2.unicoil.0shot.tsv.gz
qrel: qrels.msmarco-v2-doc.dev2.txt
models:
- name: unicoil-0shot
display: uniCOIL (with doc2query-T5) zero-shot
params: -parallelism 16 -impact -pretokenized -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 1000
results:
MAP@100:
- 0.2388
- 0.2422
MRR@100:
- 0.2419
- 0.2445
R@100:
- 0.7791
- 0.7759
R@1000:
- 0.9122
- 0.9172
# PRF regressions are no longer maintained for sparse judgments to reduce running times.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: unicoil-0shot+rm3
# display: +RM3
# params: -parallelism 16 -impact -pretokenized -rm3 -collection JsonVectorCollection -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 1000
# results:
# MAP@100:
# - 0.2174
# - 0.2198
# MRR@100:
# - 0.2197
# - 0.2225
# R@100:
# - 0.7684
# - 0.7640
# R@1000:
# - 0.9175
# - 0.9220
# - name: unicoil-0shot+rocchio
# display: +Rocchio
# params: -parallelism 16 -impact -pretokenized -rocchio -collection JsonVectorCollection -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 1000
# results:
# MAP@100:
# - 0.2229
# - 0.2200
# MRR@100:
# - 0.2252
# - 0.2225
# R@100:
# - 0.7775
# - 0.7747
# R@1000:
# - 0.9232
# - 0.9253