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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
+---
+
+# dbpedia-entity.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/dbpedia-entity.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": 4635922
+}
+```

artifact.tar.lz4.0

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+size 4900024280

artifact.tar.lz4.1

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+oid sha256:6e6d90ea85f7684409e676082af29169da033b064b070ac0dbbf857106a45446
+size 418455647

artifact.tar.lz4.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:df0c7954d37435bbe69e1e11348334cbedbed2a53b736499dc37f07e1dee9d9d
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