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README.md

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+---
+# pretty_name: "" # Example: "MS MARCO Terrier Index"
+tags:
+- pyterrier
+- pyterrier-artifact
+- pyterrier-artifact.scorer_cache
+- pyterrier-artifact.scorer_cache.hdf5
+task_categories:
+- text-retrieval
+viewer: false
+---
+
+# cord19.trec-covid.monoelectra.cache
+
+## Description
+
+*TODO: What is the artifact?*
+
+## Usage
+
+```python
+# Load the artifact
+import pyterrier_alpha as pta
+artifact = pta.Artifact.from_hf('macavaney/cord19.trec-covid.monoelectra.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": "scorer_cache",
+  "format": "hdf5",
+  "package_hint": "pyterrier-caching",
+  "doc_count": 191175
+}
+```

artifact.tar.lz4

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+version https://git-lfs.github.com/spec/v1
+oid sha256:edffbd11fcf33e53d6de19f1ce4709e691a12dd8e210e2b72b39bc138cb244d6
+size 79256856

artifact.tar.lz4.json

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+oid sha256:501a20e1c9c84cc99f1a8a2301b9f4f4e2eb64563b78372fb1197a1a3dfd1f08
+size 301