TREC NeuCLIR 2022

**Dataset Information:**

"The main task for the proposed track is ad-hoc cross-language retrieval. Documents will be drawn from Common Crawl newswire, and will be written in Chinese, Russian, and Persian. Topics will be in English, and will be expressed in traditional TREC title/description/narrative form. Retrieved documents will be graded as highly relevant, somewhat relevant, and not relevant; we expect to use several metrics to evaluate runs, including nDCG@100 and ERR."

**Links to Resources:**

- https://neuclir.github.io/
- Related: HC4

**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.**

cc: @eugene-yang