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--- |
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tags: |
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- pyterrier |
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- pyterrier-artifact |
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- pyterrier-artifact.dense_index |
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- pyterrier-artifact.dense_index.flex |
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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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# dbpedia-entity.retromae.flex |
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## Description |
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RetroMAE index for DBPedia-Entity |
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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('pyterrier/dbpedia-entity.retromae.flex') |
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artifact.np_retriever() |
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``` |
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## Benchmarks |
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`dbpedia-entity/dev` |
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| name | nDCG@10 | R@1000 | |
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|:----------|----------:|---------:| |
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| np (flat) | 0.4687 | 0.7372 | |
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`dbpedia-entity/test` |
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| name | nDCG@10 | R@1000 | |
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|:----------|----------:|---------:| |
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| np (flat) | 0.3729 | 0.678 | |
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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("dbpedia-entity.retromae.flex") |
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dataset = ir_datasets.load('beir/dbpedia-entity') |
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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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``` |
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{ |
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"type": "dense_index", |
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"format": "flex", |
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"vec_size": 768, |
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"doc_count": 4635922 |
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} |
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``` |
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