| # pretty_name: "" # Example: "MS MARCO Terrier Index" | |
| tags: | |
| - pyterrier | |
| - pyterrier-artifact | |
| - pyterrier-artifact.quality_score_cache | |
| - pyterrier-artifact.quality_score_cache.numpy | |
| task_categories: | |
| - text-retrieval | |
| viewer: false | |
| # cw22b-en.qt5-small-msw25.cache | |
| ## Description | |
| *TODO: What is the artifact?* | |
| ## Usage | |
| ```python | |
| # Load the artifact | |
| import pyterrier_alpha as pta | |
| artifact = pta.Artifact.from_hf('macavaney/cw22b-en.qt5-small-msw25.cache') | |
| # TODO: Show how you use the artifact | |
| ``` | |
| ## Benchmarks | |
| *TODO: Provide benchmarks for the artifact.* | |
| ## Reproduction | |
| ```python | |
| # TODO: Show how you constructed the artifact. | |
| ``` | |
| ## Metadata | |
| ``` | |
| { | |
| "type": "quality_score_cache", | |
| "format": "numpy", | |
| "package_hint": "pyterrier-quality", | |
| "count": 87208655 | |
| } | |
| ``` | |