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README.md

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+---
+# 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
+---
+
+# gpt2-ppl.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/gpt2-ppl.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
+}
+```

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