The two-click* reproduction matrix below provides commands for reproducing experimental results reported in a number of papers, denoted by the references in square brackets. Instructions for programmatic execution are shown at the bottom of this page (scroll down).
TREC 2019 | TREC 2020 | dev | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AP@100 |
nDCG@10 | R@1K | AP@100 |
nDCG@10 | R@1K | RR@100 | R@1K |
[1] Xueguang Ma, Ronak Pradeep, Rodrigo Nogueira, and Jimmy Lin. Document Expansions and Learned Sparse Lexical Representations for MS MARCO V1 and V2. Proceedings of the 45th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), July 2022.
Numbers in parentheses correspond to rows in Table 2 of the paper.
All experimental runs shown in the above table can be programmatically executed based on the instructions below. To list all the experimental conditions:
python -m pyserini.2cr.msmarco --collection v1-doc --list-conditions
These conditions correspond to the table rows above.
For all conditions, just show the commands in a "dry run":
python -m pyserini.2cr.msmarco --collection v1-doc --all --display-commands --dry-run
To actually run all the experimental conditions:
python -m pyserini.2cr.msmarco --collection v1-doc --all --display-commands
With the above command, run files will be placed in the current directory. Use the option --directory runs/ to place the runs in a sub-directory.
To show the commands for a specific condition:
python -m pyserini.2cr.msmarco --collection v1-doc --condition bm25-doc-default --display-commands --dry-run
This will generate exactly the commands for a specific condition above (corresponding to a row in the table).
To actually run a specific condition:
python -m pyserini.2cr.msmarco --collection v1-doc --condition bm25-doc-default --display-commands
Again, with the above command, run files will be placed in the current directory. Use the option --directory runs/ to place the runs in a sub-directory.
Finally, to generate this page:
python -m pyserini.2cr.msmarco --collection v1-doc --generate-report --output msmarco-v1-doc.html
The output file msmarco-v1-doc.html should be identical to this page.