| --- |
| tags: |
| - pyterrier |
| - pyterrier-anserini |
| - pyterrier-artifact |
| task_categories: |
| - text-retrieval |
| viewer: false |
| language: |
| - en |
| pretty_name: Anserini index of the BRIGHT Sustainable Living collection for PyTerrier |
| --- |
| |
| # Anserini index of the BRIGHT Sustainable Living collection for PyTerrier |
|
|
| ## Description |
|
|
| An Anserini index of the sustainable-living subset of the BRIGHT dataset build with PyTerrier's Anserini plugin. |
|
|
| ## Usage |
|
|
| You will need to install PyTerrier, and its Anserini engine: |
|
|
| ```python |
| %pip install pyjnius git+https://github.com/terrier-org/pyterrier.git |
| %pip install pyterrier-anserini |
| ``` |
|
|
|
|
| ```python |
| import pyterrier as pt |
| |
| anserini_index = pt.Artifact.from_hf("pyterrier-tutorial/bright.sustainable.anserini.text") |
| anserini_bm25 = anserini_index.bm25(k1=0.9, b=0.4) |
| anserinni_bm25.search("renewable energy and sustainable development").head(10) |
| ``` |
|
|
| ## Reproduction |
|
|
| ```python |
| from pyterrier_anserini import AnseriniIndex |
| |
| anserini_path = "./bright-anserini-index" |
| |
| if os.path.exists(anserini_path): |
| shutil.rmtree(anserini_path) |
| |
| anserini_index = AnseriniIndex(anserini_path) |
| anserini_indexer = anserini_index.indexer( |
| fields=["text"], |
| store_positions=True, |
| verbose=True |
| ) |
| |
| dataset = pt.get_dataset('irds:bright/sustainable-living') |
| anserini_indexer.index(dataset.get_corpus_iter()) |
| ``` |
|
|
| ## Metadata |
|
|
| ``` |
| { |
| "type": "sparse_index", |
| "format": "anserini", |
| "package_hint": "pyterrier-anserini" |
| } |
| ``` |