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Browse files- README.md +48 -0
- artifact.tar.lz4 +3 -0
- artifact.tar.lz4.json +3 -0
README.md
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---
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# pretty_name: "" # Example: "MS MARCO Terrier Index"
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tags:
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- pyterrier
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- pyterrier-artifact
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- pyterrier-artifact.corpus_graph
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- pyterrier-artifact.corpus_graph.np_topk
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task_categories:
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- text-retrieval
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viewer: false
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---
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# msmarco-passage.corpusgraph.bm25.16
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## Description
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*TODO: What is the artifact?*
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## Usage
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```python
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# Load the artifact
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import pyterrier_alpha as pta
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artifact = pta.Artifact.from_hf('macavaney/msmarco-passage.corpusgraph.bm25.16')
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# TODO: Show how you use the artifact
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```
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## Benchmarks
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*TODO: Provide benchmarks for the artifact.*
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## Reproduction
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```python
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# TODO: Show how you constructed the artifact.
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```
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## Metadata
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```
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{
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"type": "corpus_graph",
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"format": "np_topk",
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"package_hint": "pyterrier-adaptive",
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"doc_count": 8841823,
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"k": 16
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}
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```
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artifact.tar.lz4
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version https://git-lfs.github.com/spec/v1
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oid sha256:fe816983f2372d7a2acc9c70a2d4558f17674fda2e8ecee23204d897fafbfaf9
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size 809870392
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artifact.tar.lz4.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:d9086eb690affb3efa947516653498072e50d8c4915046cbffb1f270cb3d17c9
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size 368
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