| # pretty_name: "" # Example: "MS MARCO Terrier Index" | |
| tags: | |
| - pyterrier | |
| - pyterrier-artifact | |
| - pyterrier-artifact.corpus_graph | |
| - pyterrier-artifact.corpus_graph.np_topk | |
| task_categories: | |
| - text-retrieval | |
| viewer: false | |
| # msmarco-passage.corpusgraph.bm25.1024 | |
| ## Description | |
| *TODO: What is the artifact?* | |
| ## Usage | |
| ```python | |
| # Load the artifact | |
| import pyterrier_alpha as pta | |
| artifact = pta.Artifact.from_hf('macavaney/msmarco-passage.corpusgraph.bm25.1024') | |
| # 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": "corpus_graph", | |
| "format": "np_topk", | |
| "doc_count": 8841823, | |
| "k": 1024 | |
| } | |
| ``` | |