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README.md
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## Description
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## Usage
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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('pyterrier/scifact.retromae.flex')
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```
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## Benchmarks
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## Reproduction
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```python
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```
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## Metadata
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## Description
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RetroMAE index for SciFact
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## Usage
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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('pyterrier/scifact.retromae.flex')
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artifact.np_retriever()
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```
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## Benchmarks
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`scifact/test`
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| name | nDCG@10 | R@1000 |
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|:----------|----------:|---------:|
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| np (flat) | 0.6474 | 0.98 |
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## Reproduction
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```python
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import pyterrier as pt
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from tqdm import tqdm
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import ir_datasets
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from pyterrier_dr import FlexIndex, RetroMAE
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pipeline = RetroMAE.msmarco_distill() >> FlexIndex("scifact.retromae.flex")
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dataset = ir_datasets.load('beir/scifact')
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docs = ({'docno': d.doc_id, 'text': d.default_text()} for d in tqdm(dataset.docs))
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pipeline.index(docs)
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```
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## Metadata
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