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msmarco-v1-passage.cohere-embed-english-v3.0.hnsw.cached.yaml
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msmarco-v1-passage.cohere-embed-english-v3.0.hnsw.cached.yaml
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---
corpus: msmarco-passage-cohere-embed-english-v3.0
corpus_path: collections/msmarco/msmarco-passage-cohere-embed-english-v3.0/
download_url: https://rgw.cs.uwaterloo.ca/pyserini/data/msmarco-passage-cohere-embed-english-v3.0.tar
download_checksum: 06a6e38a0522850c6aa504db7b2617f5
index_path: indexes/lucene-hnsw.msmarco-v1-passage.cohere-embed-english-v3.0/
index_type: hnsw
collection_class: JsonDenseVectorCollection
generator_class: DenseVectorDocumentGenerator
index_threads: 16
index_options: -M 16 -efC 100
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: JsonIntVector
topics:
- name: "[MS MARCO Passage: Dev](https://github.com/microsoft/MSMARCO-Passage-Ranking)"
id: dev
path: topics.msmarco-passage.dev-subset.cohere-embed-english-v3.0.jsonl.gz
qrel: qrels.msmarco-passage.dev-subset.txt
models:
- name: cohere-embed-english-v3.0-hnsw-cached
display: cohere-embed-english-v3.0
type: hnsw
params: -hits 1000 -efSearch 1000 -threads 16
results:
AP@1000:
- 0.3716
RR@10:
- 0.3658
R@100:
- 0.8935
R@1000:
- 0.9786
tolerance:
AP@1000:
- 0.004
RR@10:
- 0.004
R@100:
- 0.015
R@1000:
- 0.015