README.md

---
pretty_name: "MS MARCO Passage BM25 Corpus Graph (k=128)"
tags:
- pyterrier
- pyterrier-artifact
- pyterrier-artifact.corpus_graph
- pyterrier-artifact.corpus_graph.np_topk
task_categories:
- text-retrieval
viewer: false
---

# MS MARCO Passage BM25 Corpus Graph (k=128)

## Description

A corpus graph over MS MARCO passage constructed using PISA's BM25, with 128 neighbors per document.

## Usage

```python
# Load the artifact
import pyterrier_alpha as pta
artifact = pta.Artifact.from_hf('macavaney/msmarco-passage.corpusgraph.bm25.128')
# 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": "corpus_graph",
  "format": "np_topk",
  "doc_count": 8841823,
  "k": 128
}
```