
regression.msmarco-v2-doc-d2q-t5.yaml Maven / Gradle / Ivy
---
corpus: msmarco-v2-doc-d2q-t5
corpus_path: collections/msmarco/msmarco_v2_doc_d2q-t5/
index_path: indexes/lucene-index.msmarco-v2-doc-d2q-t5/
collection_class: MsMarcoV2DocCollection
generator_class: DefaultLuceneDocumentGenerator
index_threads: 24
index_options: -storePositions -storeDocvectors -storeRaw
index_stats:
documents: 11959635
documents (non-empty): 11959635
total terms: 19760783236
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
topic_root: src/main/resources/topics-and-qrels/
qrels_root: src/main/resources/topics-and-qrels/
topics:
- name: "[MS MARCO V2 Doc: Dev](https://microsoft.github.io/msmarco/TREC-Deep-Learning.html)"
id: dev
path: topics.msmarco-v2-doc.dev.txt
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.txt
qrel: qrels.msmarco-v2-doc.dev2.txt
models:
- name: bm25-default
display: BM25 (default)
params: -bm25
results:
MAP@100:
- 0.1988
- 0.1986
MRR@100:
- 0.2011
- 0.2012
R@100:
- 0.6786
- 0.6821
R@1000:
- 0.8614
- 0.8568
- name: bm25-default+rm3
display: +RM3
params: -bm25 -rm3
results:
MAP@100:
- 0.1126
- 0.1151
MRR@100:
- 0.1141
- 0.1170
R@100:
- 0.5924
- 0.5922
R@1000:
- 0.8191
- 0.8247
- name: bm25-default+rocchio
display: +Rocchio
params: -bm25 -rocchio
results:
MAP@100:
- 0.1152
- 0.1170
MRR@100:
- 0.1168
- 0.1187
R@100:
- 0.5961
- 0.5963
R@1000:
- 0.8199
- 0.8288
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