README.md

---
# 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
---

# bright.sustainable.splade.cache

## Description

*TODO: What is the artifact?*

## Usage

```python
# Load the artifact
import pyterrier as pt
artifact = pt.Artifact.from_hf('pyterrier-tutorial/bright.sustainable.splade.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": 60792
}
```