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
+---
+
+# qt5-tiny.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/qt5-tiny.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 sha256:9a4dd89bcb163c314e8b4793e18080ae20e8ef02313152b12df696768e06710a
+oid sha256:e5841ac07af474bf59eeeca07f2b351ef0ad665ef641fe4b7ec74c360fa69e09
 size 21576732

artifact.tar.lz4.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ca5b829c376a94d5f0e5f70edb47ff370644afae4e65e51eaad6b51d3bc84850
+oid sha256:db3274659ae39851b17ee4f8f6283212c5b633a58137ac5552bfb972f7b7f478
 size 289