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# Anserini Regressions: MS MARCO Passage Ranking | ||
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**Model**: cosDPR-distil (using pre-encoded queries) with HNSW indexes | ||
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This page describes regression experiments, integrated into Anserini's regression testing framework, using the cosDPR-distil model on the [MS MARCO passage ranking task](https://github.com/microsoft/MSMARCO-Passage-Ranking), as described in the following paper: | ||
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> Xueguang Ma, Tommaso Teofili, and Jimmy Lin. [Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes.](https://arxiv.org/abs/2304.12139) _arXiv:2304.12139_, 2023. | ||
In these experiments, we are using pre-encoded queries (i.e., cached results of query encoding). | ||
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The exact configurations for these regressions are stored in [this YAML file](../src/main/resources/regression/msmarco-passage-cos-dpr-distil.yaml). | ||
Note that this page is automatically generated from [this template](../src/main/resources/docgen/templates/msmarco-passage-cos-dpr-distil.template) as part of Anserini's regression pipeline, so do not modify this page directly; modify the template instead and then run `bin/build.sh` to rebuild the documentation. | ||
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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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```bash | ||
python src/main/python/run_regression.py --index --verify --search --regression msmarco-passage-cos-dpr-distil | ||
``` | ||
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We make available a version of the MS MARCO Passage Corpus that has already been encoded with cosDPR-distil. | ||
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From any machine, the following command will download the corpus and perform the complete regression, end to end: | ||
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```bash | ||
python src/main/python/run_regression.py --download --index --verify --search --regression msmarco-passage-cos-dpr-distil | ||
``` | ||
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The `run_regression.py` script automates the following steps, but if you want to perform each step manually, simply copy/paste from the commands below and you'll obtain the same regression results. | ||
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## Corpus Download | ||
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Download the corpus and unpack into `collections/`: | ||
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```bash | ||
wget https://rgw.cs.uwaterloo.ca/pyserini/data/msmarco-passage-cos-dpr-distil.tar -P collections/ | ||
tar xvf collections/msmarco-passage-cos-dpr-distil.tar -C collections/ | ||
``` | ||
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To confirm, `msmarco-passage-cos-dpr-distil.tar` is 57 GB and has MD5 checksum `e20ffbc8b5e7f760af31298aefeaebbd`. | ||
With the corpus downloaded, the following command will perform the remaining steps below: | ||
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```bash | ||
python src/main/python/run_regression.py --index --verify --search --regression msmarco-passage-cos-dpr-distil \ | ||
--corpus-path collections/msmarco-passage-cos-dpr-distil | ||
``` | ||
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## Indexing | ||
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Sample indexing command, building HNSW indexes: | ||
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```bash | ||
target/appassembler/bin/IndexHnswDenseVectors \ | ||
-collection JsonDenseVectorCollection \ | ||
-input /path/to/msmarco-passage-cos-dpr-distil \ | ||
-index indexes/lucene-hnsw.msmarco-passage-cos-dpr-distil/ \ | ||
-generator LuceneDenseVectorDocumentGenerator \ | ||
-threads 16 -M 16 -efC 100 \ | ||
>& logs/log.msmarco-passage-cos-dpr-distil & | ||
``` | ||
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The path `/path/to/msmarco-passage-cos-dpr-distil/` should point to the corpus downloaded above. | ||
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Upon completion, we should have an index with 8,841,823 documents. | ||
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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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Topics and qrels are stored [here](https://github.com/castorini/anserini-tools/tree/master/topics-and-qrels), which is linked to the Anserini repo as a submodule. | ||
The regression experiments here evaluate on the 6980 dev set questions; see [this page](experiments-msmarco-passage.md) for more details. | ||
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After indexing has completed, you should be able to perform retrieval as follows using HNSW indexes: | ||
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```bash | ||
target/appassembler/bin/SearchHnswDenseVectors \ | ||
-index indexes/lucene-hnsw.msmarco-passage-cos-dpr-distil/ \ | ||
-topics tools/topics-and-qrels/topics.msmarco-passage.dev-subset.cos-dpr-distil.jsonl.gz \ | ||
-topicreader JsonIntVector \ | ||
-output runs/run.msmarco-passage-cos-dpr-distil.cos-dpr-distil.topics.msmarco-passage.dev-subset.cos-dpr-distil.jsonl.txt \ | ||
-querygenerator VectorQueryGenerator -topicfield vector -threads 16 -hits 1000 -efSearch 1000 & | ||
``` | ||
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Evaluation can be performed using `trec_eval`: | ||
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```bash | ||
tools/eval/trec_eval.9.0.4/trec_eval -c -m map tools/topics-and-qrels/qrels.msmarco-passage.dev-subset.txt runs/run.msmarco-passage-cos-dpr-distil.cos-dpr-distil.topics.msmarco-passage.dev-subset.cos-dpr-distil.jsonl.txt | ||
tools/eval/trec_eval.9.0.4/trec_eval -c -M 10 -m recip_rank tools/topics-and-qrels/qrels.msmarco-passage.dev-subset.txt runs/run.msmarco-passage-cos-dpr-distil.cos-dpr-distil.topics.msmarco-passage.dev-subset.cos-dpr-distil.jsonl.txt | ||
tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.100 tools/topics-and-qrels/qrels.msmarco-passage.dev-subset.txt runs/run.msmarco-passage-cos-dpr-distil.cos-dpr-distil.topics.msmarco-passage.dev-subset.cos-dpr-distil.jsonl.txt | ||
tools/eval/trec_eval.9.0.4/trec_eval -c -m recall.1000 tools/topics-and-qrels/qrels.msmarco-passage.dev-subset.txt runs/run.msmarco-passage-cos-dpr-distil.cos-dpr-distil.topics.msmarco-passage.dev-subset.cos-dpr-distil.jsonl.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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| **AP@1000** | **cosDPR-distil**| | ||
|:-------------------------------------------------------------------------------------------------------------|-----------| | ||
| [MS MARCO Passage: Dev](https://github.com/microsoft/MSMARCO-Passage-Ranking) | 0.392 | | ||
| **RR@10** | **cosDPR-distil**| | ||
| [MS MARCO Passage: Dev](https://github.com/microsoft/MSMARCO-Passage-Ranking) | 0.387 | | ||
| **R@100** | **cosDPR-distil**| | ||
| [MS MARCO Passage: Dev](https://github.com/microsoft/MSMARCO-Passage-Ranking) | 0.900 | | ||
| **R@1000** | **cosDPR-distil**| | ||
| [MS MARCO Passage: Dev](https://github.com/microsoft/MSMARCO-Passage-Ranking) | 0.970 | | ||
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Note that due to the non-deterministic nature of HNSW indexing, results may differ slightly between each experimental run. | ||
Nevertheless, scores are generally stable to the third digit after the decimal point. | ||
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## Reproduction Log[*](reproducibility.md) | ||
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To add to this reproduction log, modify [this template](../src/main/resources/docgen/templates/msmarco-passage-cos-dpr-distil.template) and run `bin/build.sh` to rebuild the documentation. |
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