pyterrier-quality/itn.msmarco-passage.cache

---
# 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
---

# itn.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/itn.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
}
```

# pretty_name: "" # 示例："MS MARCO Terrier 索引"
tags:
- pyterrier
- pyterrier工件（pyterrier-artifact）
- pyterrier工件（pyterrier-artifact）.质量得分缓存（quality_score_cache）
- pyterrier工件（pyterrier-artifact）.质量得分缓存（quality_score_cache）.numpy
task_categories:
- 文本检索
viewer: 已禁用

## itn.msmarco-passage.cache

## 描述
*待补充：该工件的具体信息*

## 使用方法
python
# 加载该工件（Artifact）
import pyterrier_alpha as pta
artifact = pta.Artifact.from_hf('pyterrier-quality/itn.msmarco-passage.cache')
# 待补充：展示该工件的使用方式

## 基准测试
*待补充：该工件的基准测试结果*

## 复现流程
python
# 待补充：展示该工件的构建过程

## 元数据

{
"类型": "质量得分缓存（quality_score_cache）",
"格式": "numpy",
"包提示": "pyterrier-quality",
"数据条目数": 8841823
}