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README.md

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+---
+# pretty_name: "" # Example: "MS MARCO Terrier Index"
+tags:
+- pyterrier
+- pyterrier-artifact
+- pyterrier-artifact.sparse_index
+- pyterrier-artifact.sparse_index.pisa
+task_categories:
+- text-retrieval
+viewer: false
+---
+
+# my_index.pisa
+
+## Description
+
+*TODO: What is the artifact?*
+
+## Usage
+
+```python
+# Load the artifact
+import pyterrier as pt
+artifact = pt.Artifact.from_hf('macavaney/my_index.pisa')
+# 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": "sparse_index",
+  "format": "pisa",
+  "package_hint": "pyterrier-pisa",
+  "stemmer": "porter2"
+}
+```

artifact.tar.lz4

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+oid sha256:7ac10eaded63af9dbca0c5c1960de3f783c608df7ae46b1ac1e476436fcbbdb4
+size 3448837

artifact.tar.lz4.json

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+oid sha256:2fe9cf33c8a27d09cc0bba44feb448634e4a5a9c06f951850fb155a6baaceb0f
+size 860