Upload folder using huggingface_hub

README.md

@@ -0,0 +1,47 @@
+---
+# 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
+---
+
+# tasb-mag.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/tasb-mag.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
+}
+```

artifact.tar.lz4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7f290d7b4ca4387e52003bafbb06e68edfef94729b0baa2dd84b23e9d6c13c08
+oid sha256:1baff0e45efa4e547c0ce61ae7144038f2f2a57fc2c059ff4b0860c3e7fbdd51
 size 35370494

artifact.tar.lz4.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9c041d07d3abfe50988c14abcea1afd6ec34703c46c2b98e6321da1a1dc9d765
+oid sha256:8a21e91493ffee780d5eae1f4c972aba5c0d764ab5b0cb3ef81b729d859ad033
 size 289