| from __future__ import annotations |
| import argparse, json |
| from pathlib import Path |
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|
| from geomretrieval import GeometricIndex, RAGTop10Config, RAGTop10Ranker, load_beir_zip, load_beir_directory |
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| def load_dataset(path, split): |
| return load_beir_zip(path, split) if str(path).lower().endswith('.zip') else load_beir_directory(path, split) |
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| def main(): |
| p=argparse.ArgumentParser(description='Evaluate the current top-10 RAG protocol on a BEIR dataset.') |
| p.add_argument('dataset', help='BEIR zip or extracted dataset directory') |
| p.add_argument('index', help='saved GeometricIndex directory') |
| p.add_argument('--split', default='test') |
| p.add_argument('--pool', type=int, default=100) |
| p.add_argument('--hq-branches', type=int, default=10) |
| p.add_argument('--lambda-diversity', type=float, default=0.1) |
| p.add_argument('--output', default=None) |
| a=p.parse_args() |
| ds=load_dataset(a.dataset,a.split) |
| idx=GeometricIndex.load(a.index) |
| cfg=RAGTop10Config(pool_size=a.pool,hq_top_branches=a.hq_branches,lambda_diversity=a.lambda_diversity) |
| ranker=RAGTop10Ranker(idx,cfg) |
| metrics,run=ranker.evaluate(ds,k=10) |
| result={'dataset':ds.name,'split':a.split,'config':cfg.__dict__,'metrics':metrics} |
| print(json.dumps(result,indent=2)) |
| if a.output: |
| Path(a.output).write_text(json.dumps({'summary':result,'run':run},indent=2)) |
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|
| if __name__=='__main__': main() |
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|
