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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 as pt
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- artifact = pt.Artifact.from_hf('pyterrier/hotpotqa.terrier')
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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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  ## Description
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+ Terrier index for HotpotQA
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  ## Usage
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  ```python
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  # Load the artifact
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  import pyterrier as pt
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+ index = pt.Artifact.from_hf('pyterrier/hotpotqa.terrier')
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+ index.bm25()
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  ```
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  ## Benchmarks
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+ `hotpotqa/dev`
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+
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+ | name | nDCG@10 | R@1000 |
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+ |:-------|----------:|---------:|
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+ | bm25 | 0.6093 | 0.8784 |
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+ | dph | 0.6361 | 0.8883 |
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+
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+ `hotpotqa/test`
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+
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+ | name | nDCG@10 | R@1000 |
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+ |:-------|----------:|---------:|
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+ | bm25 | 0.5858 | 0.8689 |
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+ | dph | 0.6169 | 0.8824 |
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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 pandas as pd
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+ import ir_datasets
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+ from pyterrier_pisa import PisaIndex
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+ dataset = ir_datasets.load('beir/hotpotqa')
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+ meta_docno_len = dataset.metadata()['docs']['fields']['doc_id']['max_len']
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+ indexer = pt.IterDictIndexer("./hotpotqa.terrier", meta={'docno': meta_docno_len, 'text': 4096})
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+ docs = ({'docno': d.doc_id, 'text': d.default_text()} for d in tqdm(dataset.docs))
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+ indexer.index(docs)
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  ```
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  ## Metadata