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regressions-msmarco-passage-bm25-b8.md

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Anserini Regressions: MS MARCO Passage Ranking

Models: BM25 with quantized weights (8 bits)

This page documents regression experiments on the MS MARCO passage ranking task, which is integrated into Anserini's regression testing framework. For more complete instructions on how to run end-to-end experiments, refer to this page.

The exact configurations for these regressions are stored in this YAML file. Note that this page is automatically generated from this template as part of Anserini's regression pipeline, so do not modify this page directly; modify the template instead.

From one of our Waterloo servers (e.g., orca), the following command will perform the complete regression, end to end:

python src/main/python/run_regression.py --index --verify --search --regression msmarco-passage-bm25-b8

Indexing

Typical indexing command:

target/appassembler/bin/IndexCollection \
  -collection JsonVectorCollection \
  -input /path/to/msmarco-passage \
  -index indexes/lucene-index.msmarco-passage-bm25-b8/ \
  -generator DefaultLuceneDocumentGenerator \
  -threads 9 -impact -pretokenized \
  >& logs/log.msmarco-passage &

The directory /path/to/msmarco-passage/ should be a directory containing jsonl files containing quantized BM25 vectors for every document

For additional details, see explanation of common indexing options.

Retrieval

Topics and qrels are stored in src/main/resources/topics-and-qrels/. The regression experiments here evaluate on the 6980 dev set questions; see this page for more details.

After indexing has completed, you should be able to perform retrieval as follows:

target/appassembler/bin/SearchCollection \
  -index indexes/lucene-index.msmarco-passage-bm25-b8/ \
  -topics src/main/resources/topics-and-qrels/topics.msmarco-passage.dev-subset.txt \
  -topicreader TsvInt \
  -output runs/run.msmarco-passage.bm25-b8.topics.msmarco-passage.dev-subset.txt \
  -impact &

Evaluation can be performed using trec_eval:

tools/eval/trec_eval.9.0.4/trec_eval -c -m map src/main/resources/topics-and-qrels/qrels.msmarco-passage.dev-subset.txt runs/run.msmarco-passage.bm25-b8.topics.msmarco-passage.dev-subset.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -M 10 -m recip_rank src/main/resources/topics-and-qrels/qrels.msmarco-passage.dev-subset.txt runs/run.msmarco-passage.bm25-b8.topics.msmarco-passage.dev-subset.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.100 src/main/resources/topics-and-qrels/qrels.msmarco-passage.dev-subset.txt runs/run.msmarco-passage.bm25-b8.topics.msmarco-passage.dev-subset.txt
tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.1000 src/main/resources/topics-and-qrels/qrels.msmarco-passage.dev-subset.txt runs/run.msmarco-passage.bm25-b8.topics.msmarco-passage.dev-subset.txt

Effectiveness

With the above commands, you should be able to reproduce the following results:

AP@1000 BM25 (default parameters, quantized 8 bits)
MS MARCO Passage: Dev 0.1925
RR@10 BM25 (default parameters, quantized 8 bits)
MS MARCO Passage: Dev 0.1839
R@100 BM25 (default parameters, quantized 8 bits)
MS MARCO Passage: Dev 0.6604
R@1000 BM25 (default parameters, quantized 8 bits)
MS MARCO Passage: Dev 0.8562