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<title>Pyserini Reproductions: MS MARCO V1 Passage</title> |
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<h1 class="mb-3">$title</h1> |
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<div class="container my-4"> |
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<p>The two-click<a href="#" data-mdb-toggle="tooltip" title="What are the two clicks, you ask? Copy and paste!"><sup>*</sup></a> reproduction matrix below provides commands for reproducing experimental results reported in a number of papers, denoted by the references in square brackets. |
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Instructions for programmatic execution are shown at the bottom of this page (scroll down).</p> |
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<table class="table"> |
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<th class="headertop"></th> |
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<th class="headertop"></th> |
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<th class="headertop"></th> |
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<th class="headertop" colspan="4"><b>TREC 2019</b></th> |
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<th class="headertop" colspan="4"><b>TREC 2020</b></th> |
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<th class="headertop" colspan="3"><b>dev</b></th> |
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<th class="headerbottom" scope="col"></th> |
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<th class="headerbottom" scope="col"></th> |
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<th class="headerbottom" scope="col"></th> |
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<th class="headerbottom" scope="col"><br/>AP</th> |
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<th class="headerbottom" scope="col">nDCG@10</th> |
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<th class="headerbottom" scope="col">R@1K</th> |
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<th class="headerbottom" scope="col"></th> |
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<th class="headerbottom" scope="col"><br/>AP</th> |
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<th class="headerbottom" scope="col">nDCG@10</th> |
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<th class="headerbottom" scope="col">R@1K</th> |
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<th class="headerbottom" scope="col"></th> |
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<th class="headerbottom" scope="col">RR@10</th> |
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<th class="headerbottom" scope="col">R@1K</th> |
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$rows |
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<ul style="list-style-type:none; padding-top: 25px"> |
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<li><p>[1] Xueguang Ma, Ronak Pradeep, Rodrigo Nogueira, and Jimmy Lin. |
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<a href="https://cs.uwaterloo.ca/~jimmylin/publications/Ma_etal_SIGIR2022.pdf">Document Expansions and Learned Sparse Lexical Representations for MS MARCO V1 and V2.</a> |
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<i>Proceedings of the 45th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022)</i>, July 2022.</p> |
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<p> Numbers in parentheses correspond to rows in Table 1 of the paper.</p></li> |
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<li><p>[2] Thibault Formal, Carlos Lassance, Benjamin Piwowarski, and Stéphane Clinchant |
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<a href="https://arxiv.org/abs/2205.04733">From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective.</a> |
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<i>Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), May 2022.</i></p></li> |
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<li><p>[3] Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N. Bennett, Junaid Ahmed, and Arnold Overwijk. |
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<a href="https://openreview.net/forum?id=zeFrfgyZln">Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval.</a> |
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<i>Proceedings of the 9th International Conference on Learning Representations (ICLR 2021), May 2021.</i></p></li> |
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<li><p>[4] Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan, and Allan Hanbury. |
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<a href="https://arxiv.org/abs/2010.02666">Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation.</a> |
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<i>arXiv:2010.02666</i>, October 2020.</p></li> |
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<li><p>[5] Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, and Allan Hanbury. |
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<a href="https://dl.acm.org/doi/10.1145/3404835.3462891">Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling.</a> |
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<i>Proceedings of the 44th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021)</i>, pages 113-122, July 2021.</p></li> |
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<li><p>[6] Sheng-Chieh Lin, Jheng-Hong Yang, and Jimmy Lin. |
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<a href="https://aclanthology.org/2021.repl4nlp-1.17/">In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval.</a> |
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<i>Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021)</i>, pages 163-173, August 2021.</p></li> |
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<li><p>[7] Minghan Li, Sheng-Chieh Lin, Xueguang Ma, Jimmy Lin. |
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<a href="https://arxiv.org/abs/2302.06587">SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes.</a> |
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<i>arXiv:2302.06587</i>, Feburary 2023.</p></li> |
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<li><p>[8] Sheng-Chieh Lin, Minghan Li and Jimmy Lin. |
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<a href="https://arxiv.org/abs/2208.00511">Aggretriever: A Simple Approach to Aggregate Textual Representation for Robust Dense Passage Retrieval.</a> |
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<i>arXiv:2208.00511</i>, July 2022.</p></li> |
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</ul> |
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<div style="padding-top: 20px"/> |
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<h4>Programmatic Execution</h4> |
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<p>All experimental runs shown in the above table can be programmatically executed based on the instructions below. |
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To list all the experimental conditions:</p> |
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<blockquote class="mycode2"><tt> |
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python -m pyserini.2cr.msmarco --collection v1-passage --list-conditions |
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</tt></blockquote> |
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<p>These conditions correspond to the table rows above.</p> |
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<p>For all conditions, just show the commands in a "dry run":</p> |
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<blockquote class="mycode2"><tt> |
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python -m pyserini.2cr.msmarco --collection v1-passage --all --display-commands --dry-run |
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</tt></blockquote> |
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<p>To actually run all the experimental conditions:</p> |
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<blockquote class="mycode2"><tt> |
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python -m pyserini.2cr.msmarco --collection v1-passage --all --display-commands |
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</tt></blockquote> |
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<p>With the above command, run files will be placed in the current directory. |
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Use the option <tt>--directory runs/</tt> to place the runs in a sub-directory.</p> |
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<p>To show the commands for a specific condition:</p> |
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<blockquote class="mycode2"><tt> |
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python -m pyserini.2cr.msmarco --collection v1-passage --condition bm25-default --display-commands --dry-run |
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</tt></blockquote> |
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<p>This will generate exactly the commands for a specific condition above (corresponding to a row in the table).</p> |
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<p>To actually run a specific condition:</p> |
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<blockquote class="mycode2"><tt> |
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python -m pyserini.2cr.msmarco --collection v1-passage --condition bm25-default --display-commands |
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</tt></blockquote> |
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<p>Again, with the above command, run files will be placed in the current directory. |
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Use the option <tt>--directory runs/</tt> to place the runs in a sub-directory.</p> |
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<p>Finally, to generate this page:</p> |
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<blockquote class="mycode2"><tt> |
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python -m pyserini.2cr.msmarco --collection v1-passage --generate-report --output msmarco-v1-passage.html |
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</tt></blockquote> |
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<p>The output file <tt>msmarco-v1-passage.html</tt> should be identical to this page.</p> |
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document.querySelectorAll('pre').forEach(function (codeBlock) { |
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var button = document.createElement('button'); |
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button.className = 'copy-code-button'; |
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button.type = 'button'; |
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button.setAttribute('data-clipboard-text',s); |
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console.info('Text:', e.text); |
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console.info('Trigger:', e.trigger); |
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e.trigger.textContent = 'Copied'; |
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