| --- |
| |
| tags: |
| - pyterrier |
| - pyterrier-artifact |
| - pyterrier-artifact.dense_index |
| - pyterrier-artifact.dense_index.flex |
| task_categories: |
| - text-retrieval |
| viewer: false |
| --- |
| |
| # scifact.retromae.flex |
|
|
| ## Description |
|
|
| RetroMAE index for SciFact |
|
|
| ## Usage |
|
|
| ```python |
| # Load the artifact |
| import pyterrier_alpha as pta |
| artifact = pta.Artifact.from_hf('pyterrier/scifact.retromae.flex') |
| artifact.np_retriever() |
| ``` |
|
|
| ## Benchmarks |
|
|
| `scifact/test` |
|
|
| | name | nDCG@10 | R@1000 | |
| |:----------|----------:|---------:| |
| | np (flat) | 0.6474 | 0.98 | |
|
|
| ## Reproduction |
|
|
| ```python |
| import pyterrier as pt |
| from tqdm import tqdm |
| import ir_datasets |
| from pyterrier_dr import FlexIndex, RetroMAE |
| pipeline = RetroMAE.msmarco_distill() >> FlexIndex("scifact.retromae.flex") |
| dataset = ir_datasets.load('beir/scifact') |
| docs = ({'docno': d.doc_id, 'text': d.default_text()} for d in tqdm(dataset.docs)) |
| pipeline.index(docs) |
| ``` |
|
|
| ## Metadata |
|
|
| ``` |
| { |
| "type": "dense_index", |
| "format": "flex", |
| "vec_size": 768, |
| "doc_count": 5183 |
| } |
| ``` |
|
|
