WANDS

[seanmacavaney]

Dataset Information:

"WANDS is a Wayfair product search relevance dataset."

Links to Resources:

• https://github.com/wayfair/WANDS
• https://easychair.org/publications/preprint_download/j2D4

Dataset ID(s) & supported entities:

• wands (docs, queries, qrels)

Checklist

Mark each task once completed. All should be checked prior to merging a new dataset.

• [ ] Dataset definition (in ir_datasets/datasets/[topid].py)
• [ ] Tests (in tests/integration/[topid].py)
• [ ] Metadata generated (using ir_datasets generate_metadata command, should appear in ir_datasets/etc/metadata.json)
• [ ] Documentation (in ir_datasets/etc/[topid].yaml)
  • [ ] Documentation generated in https://github.com/seanmacavaney/ir-datasets.com/
• [ ] Downloadable content (in ir_datasets/etc/downloads.json)
  • [ ] Download verification action (in .github/workflows/verify_downloads.yml). Only one needed per topid.
  • [ ] Any small public files from NIST (or other potentially troublesome files) mirrored in https://github.com/seanmacavaney/irds-mirror/. Mirrored status properly reflected in downloads.json.

Additional comments/concerns/ideas/etc.

Presented at ECIR 2022.