TREC Health Misinformation 2022

**Dataset Information:**

"The Health Misinformation track aims to (1) provide a venue for research on retrieval methods that promote better decision making with search engines, and (2) develop new online and offline evaluation methods to predict the decision making quality induced by search results. Consumer health information is used as the domain of interest in the track."

**Links to Resources:**

- https://trec-health-misinfo.github.io/

**Dataset ID(s) & supported entities:**

- TBD

**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.**