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Add remaining BEIR multifield regressions (#1859)
* add beir_v1.0.0 multifield regressions in README * Add regression docs for beir_v1.0.0 multifield * Add docgen templates for beir_v1.0.0 multifield * Add regression yaml files for beir_v1.0.0 multifield
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# Anserini Regressions: BEIR (v1.0.0) — BioASQ | ||
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This page documents BM25 regression experiments for [BEIR (v1.0.0) — BioASQ](http://beir.ai/). | ||
These experiments index the "title" and "text" fields in corpus separately. | ||
At retrieval time, a query is issued across both fields (equally weighted). | ||
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The exact configurations for these regressions are stored in [this YAML file](../src/main/resources/regression/beir-v1.0.0-bioasq-multifield.yaml). | ||
Note that this page is automatically generated from [this template](../src/main/resources/docgen/templates/beir-v1.0.0-bioasq-multifield.template) as part of Anserini's regression pipeline, so do not modify this page directly; modify the template instead. | ||
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From one of our Waterloo servers (e.g., `orca`), the following command will perform the complete regression, end to end: | ||
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``` | ||
python src/main/python/run_regression.py --index --verify --search --regression beir-v1.0.0-bioasq-multifield | ||
``` | ||
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## Indexing | ||
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Typical indexing command: | ||
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``` | ||
target/appassembler/bin/IndexCollection \ | ||
-collection BeirMultifieldCollection \ | ||
-input /path/to/beir-v1.0.0-bioasq-multifield \ | ||
-index indexes/lucene-index.beir-v1.0.0-bioasq-multifield/ \ | ||
-generator DefaultLuceneDocumentGenerator \ | ||
-threads 1 -storePositions -storeDocvectors -storeRaw -fields title \ | ||
>& logs/log.beir-v1.0.0-bioasq-multifield & | ||
``` | ||
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For additional details, see explanation of [common indexing options](common-indexing-options.md). | ||
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## Retrieval | ||
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After indexing has completed, you should be able to perform retrieval as follows: | ||
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``` | ||
target/appassembler/bin/SearchCollection \ | ||
-index indexes/lucene-index.beir-v1.0.0-bioasq-multifield/ \ | ||
-topics src/main/resources/topics-and-qrels/topics.beir-v1.0.0-bioasq.test.tsv.gz \ | ||
-topicreader TsvString \ | ||
-output runs/run.beir-v1.0.0-bioasq-multifield.bm25.topics.beir-v1.0.0-bioasq.test.txt \ | ||
-bm25 -removeQuery -hits 1000 -fields contents=1.0 title=1.0 & | ||
``` | ||
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Evaluation can be performed using `trec_eval`: | ||
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``` | ||
tools/eval/trec_eval.9.0.4/trec_eval -c -m ndcg_cut.10 src/main/resources/topics-and-qrels/qrels.beir-v1.0.0-bioasq.test.txt runs/run.beir-v1.0.0-bioasq-multifield.bm25.topics.beir-v1.0.0-bioasq.test.txt | ||
tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.100 src/main/resources/topics-and-qrels/qrels.beir-v1.0.0-bioasq.test.txt runs/run.beir-v1.0.0-bioasq-multifield.bm25.topics.beir-v1.0.0-bioasq.test.txt | ||
tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.1000 src/main/resources/topics-and-qrels/qrels.beir-v1.0.0-bioasq.test.txt runs/run.beir-v1.0.0-bioasq-multifield.bm25.topics.beir-v1.0.0-bioasq.test.txt | ||
``` | ||
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## Effectiveness | ||
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With the above commands, you should be able to reproduce the following results: | ||
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| nDCG@10 | BM25 | | ||
|:-------------------------------------------------------------------------------------------------------------|-----------| | ||
| BEIR (v1.0.0): bioasq | 0.4646 | | ||
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| R@100 | BM25 | | ||
|:-------------------------------------------------------------------------------------------------------------|-----------| | ||
| BEIR (v1.0.0): bioasq | 0.7145 | | ||
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| R@1000 | BM25 | | ||
|:-------------------------------------------------------------------------------------------------------------|-----------| | ||
| BEIR (v1.0.0): bioasq | 0.8428 | |
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