regression.dl22-doc-segmented.d2q-t5.yaml Maven / Gradle / Ivy
---
corpus: msmarco-v2-doc-segmented-d2q-t5
corpus_path: collections/msmarco/msmarco_v2_doc_segmented_d2q-t5/
index_path: indexes/lucene-inverted.msmarco-v2-doc-segmented.d2q-t5/
collection_class: MsMarcoV2DocCollection
generator_class: DefaultLuceneDocumentGenerator
index_threads: 24
index_options: -storeRaw
index_stats:
documents: 124131414
documents (non-empty): 124131414
total terms: 30376034132
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: "[DL22 (Doc)](https://microsoft.github.io/msmarco/TREC-Deep-Learning)"
id: dl22
path: topics.dl22.txt
qrel: qrels.dl22-doc.txt
models:
- name: bm25-default
display: BM25 (default)
params: -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 1000 -bm25
results:
MAP@100:
- 0.1203
MRR@100:
- 0.7367
nDCG@10:
- 0.3975
R@100:
- 0.2441
R@1000:
- 0.4984
- name: bm25-default+rm3
display: +RM3
params: -bm25 -rm3 -collection MsMarcoV2DocCollection -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 1000
results:
MAP@100:
- 0.1319
MRR@100:
- 0.7035
nDCG@10:
- 0.3912
R@100:
- 0.2467
R@1000:
- 0.5188
- name: bm25-default+rocchio
display: +Rocchio
params: -bm25 -rocchio -collection MsMarcoV2DocCollection -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 1000
results:
MAP@100:
- 0.1349
MRR@100:
- 0.7226
nDCG@10:
- 0.4012
R@100:
- 0.2499
R@1000:
- 0.5320
© 2015 - 2025 Weber Informatics LLC | Privacy Policy