pyterrier-quality/itn.msmarco-passage.cache

--- # 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 --- # itn.msmarco-passage.cache ## Description *TODO: What is the artifact?* ## Usage ```python # Load the artifact import pyterrier_alpha as pta artifact = pta.Artifact.from_hf('pyterrier-quality/itn.msmarco-passage.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": 8841823 } ```# pretty_name: "" # 示例："MS MARCO Terrier 索引" tags: - pyterrier - pyterrier工件（pyterrier-artifact） - pyterrier工件（pyterrier-artifact）.质量得分缓存（quality_score_cache） - pyterrier工件（pyterrier-artifact）.质量得分缓存（quality_score_cache）.numpy task_categories: - 文本检索 viewer: 已禁用 ## itn.msmarco-passage.cache ## 描述 *待补充：该工件的具体信息* ## 使用方法 python # 加载该工件（Artifact） import pyterrier_alpha as pta artifact = pta.Artifact.from_hf('pyterrier-quality/itn.msmarco-passage.cache') # 待补充：展示该工件的使用方式 ## 基准测试 *待补充：该工件的基准测试结果* ## 复现流程 python # 待补充：展示该工件的构建过程 ## 元数据 { "类型": "质量得分缓存（quality_score_cache）", "格式": "numpy", "包提示": "pyterrier-quality", "数据条目数": 8841823 }