---
# 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
---

# SPLADE vector cache for Vaswani

## Description

A SPLADE vector cache for the Vaswani dataset.

## Usage

```python
>>> # Load the artifact
>>> from pyterrier_caching import IndexerCache
>>> cache = IndexerCache.from_hf('macavaney/vaswani.splade.cache')
>>> len(cache)
11429
```

## Benchmarks

*TODO: Provide benchmarks for the artifact.*

## Reproduction

```python
import pyterrier as pt
pt.init()
from pyterrier_caching import IndexerCache
from pyt_splade import Splade
splade = Splade()
cache = IndexerCache('vaswani.splade.cache')
dataset = pt.get_dataset('irds:vaswani')
pipeline = splade.doc_encoder() >> cache.indexer()
pipeline.index(dataset.get_corpus_iter())
```

## Metadata

```
{
  "type": "indexer_cache",
  "format": "lz4pickle",
  "record_count": 11429
}
```