beir/dbpedia

목차

1. 사용법

1.1. 모든 데이터 순회

1.2. 개별 데이터 접근

2. 속성

2.1. doc

2.2. query

2.3. qrel

3. 통계

4. 인용

5. 출처

6. 라이센스



1. 사용법

1.1. 모든 데이터 순회

from hamu_tool.dataset import DataLoader

loader = DataLoader.load('beir/dbpedia')

for doc in loader.get_docs():
    print(doc.id, doc.text, doc.title, doc.url)
    break

for query in loader.get_queries():
    print(query.id, query.text)
    break

for qrel in loader.get_qrels('[mode]'):
    print(qrel.qid, qrel.did, qrel.score)
    break

1.2. 개별 데이터 접근

from hamu_tool.dataset import DataLoader

loader = DataLoader.load('beir/dbpedia')

doc = loader.get_doc('[did]')
print(doc)

query = loader.get_query('[qid]')
print(query)

qrel = loader.get_qrel('[mode]', '[qid]')
print(qrel)

2. 속성

2.1. doc

속성자료형
idstr
textstr
titlestr
urlstr

2.2. query

속성자료형
idstr
textstr

2.3. qrel

속성자료형
qidstr
didstr
scoreint
  • [mode]: test, dev

3. 통계

수치
TaskEntity Retrieval
DomainWikipedia
# Query469
# Doc4,635,922
# Qreltest15,286
dev1,405
Average Rel D/Qtest32.73
dev3.01
Average Query Length (words)5.39
Average Doc Length (words)46.89

4. 인용

@article{Hasibi2017DBpediaEntityVA,
  title={DBpedia-Entity v2: A Test Collection for Entity Search},
  author={Faegheh Hasibi and Fedor Nikolaev and Chenyan Xiong and K. Balog and S. E. Bratsberg and Alexander Kotov and J. Callan},
  journal={Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval},
  year={2017}
}
@article{Thakur2021Beir,
  title = "BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models",
  author = "Thakur, Nandan and Reimers, Nils and Rücklé, Andreas and Srivastava, Abhishek and Gurevych, Iryna", 
  journal= "arXiv preprint arXiv:2104.08663",
  month = "4",
  year = "2021",
  url = "https://arxiv.org/abs/2104.08663",
}

5. 출처


6. 라이센스