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00f7555 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | from __future__ import annotations
import argparse, json
from pathlib import Path
from geomretrieval import GeometricIndex, RAGTop10Config, RAGTop10Ranker, load_beir_zip, load_beir_directory
def load_dataset(path, split):
return load_beir_zip(path, split) if str(path).lower().endswith('.zip') else load_beir_directory(path, split)
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))
if __name__=='__main__': main()
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