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README.md

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+---
+# 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
+---
+
+# scidocs.splade-v3.cache
+
+## Description
+
+*TODO: What is the artifact?*
+
+## Usage
+
+```python
+# Load the artifact
+import pyterrier_alpha as pta
+artifact = pta.Artifact.from_hf('pyterrier/scidocs.splade-v3.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": 25657
+}
+```

artifact.tar.lz4

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a1515b2e2ff9b595d460db8d94695f7e366210baa6c11396b1e5c960c71a4d29
+size 63739638

artifact.tar.lz4.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8e0fa74275af2c9e4d50155beb5e7204a3cc492196ab450d382be650fb0b3404
+size 366