pyterrier/hotpotqa.splade-v1.cache

--- # pretty_name: "" # Example: "MS MARCO Terrier Index" tags: - pyterrier - pyterrier-artifact - pyterrier-artifact.indexer_cache - pyterrier-artifact.indexer_cache.lz4pickle task_categories: - text-retrieval viewer: false --- # hotpotqa.splade-v1.cache ## Description *TODO: What is the artifact?* ## Usage ```python # Load the artifact import pyterrier_alpha as pta artifact = pta.Artifact.from_hf('pyterrier/hotpotqa.splade-v1.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": "indexer_cache", "format": "lz4pickle", "package_hint": "pyterrier-caching", "record_count": 5233329 } ```--- # 展示名称: "" # 示例："MS MARCO Terrier 索引" 标签: - PyTerrier（pyterrier） - PyTerrier工件（pyterrier-artifact） - PyTerrier工件.索引器缓存（pyterrier-artifact.indexer_cache） - PyTerrier工件.索引器缓存.lz4pickle（pyterrier-artifact.indexer_cache.lz4pickle） 任务类别: - 文本检索（text-retrieval） 查看器: 否 --- # hotpotqa.splade-v1.cache ## 描述 *待完善：该工件（artifact）的具体内容是什么？* ## 使用方法 python # 加载该工件（artifact） import pyterrier_alpha as pta artifact = pta.Artifact.from_hf('pyterrier/hotpotqa.splade-v1.cache') # 待完善：展示该工件（artifact）的使用方式 ## 基准测试 *待完善：提供该工件（artifact）的基准测试结果。* ## 复现流程 python # 待完善：展示该工件（artifact）的构建流程。 ## 元数据 { "类型": "索引器缓存", "格式": "lz4pickle", "包提示": "pyterrier-caching", "记录总数": 5233329 }