pyterrier/dbpedia-entity.splade-v3.cache

---
# 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-v3.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-v3.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
}
```

---
# 展示名称: "" # 示例："MS MARCO Terrier 索引"
标签:
- pyterrier
- pyterrier-artifact
- pyterrier-artifact.indexer_cache
- pyterrier-artifact.indexer_cache.lz4pickle
任务类别:
- 文本检索(text-retrieval)
查看器: 禁用
---

# dbpedia-entity.splade-v3.cache

## 描述

*待完善：该工件（artifact）是什么？*

## 使用方法

python
# 加载该工件（artifact）
import pyterrier_alpha as pta
artifact = pta.Artifact.from_hf('pyterrier/dbpedia-entity.splade-v3.cache')
# 待完善：展示该工件的使用方式

## 基准测试

*待完善：提供该工件的基准测试结果。*

## 复现流程

python
# 待完善：展示该工件的构建方式。

## 元数据

{
"类型": "indexer_cache",
"格式": "lz4pickle",
"包提示": "pyterrier-caching",
"记录总数": 4635922
}