irds/beir_dbpedia-entity

Dataset Card for beir/dbpedia-entity

The beir/dbpedia-entity dataset, provided by the ir-datasets package. For more information about the dataset, see the documentation.

Data

This dataset provides:

• docs (documents, i.e., the corpus); count=4,635,922
• queries (i.e., topics); count=467

This dataset is used by: beir_dbpedia-entity_dev, beir_dbpedia-entity_test

Usage

from datasets import load_dataset

docs = load_dataset('irds/beir_dbpedia-entity', 'docs')
for record in docs:
    record # {'doc_id': ..., 'text': ..., 'title': ..., 'url': ...}

queries = load_dataset('irds/beir_dbpedia-entity', 'queries')
for record in queries:
    record # {'query_id': ..., 'text': ...}

Note that calling load_dataset will download the dataset (or provide access instructions when it's not public) and make a copy of the data in 🤗 Dataset format.

Citation Information

@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",
}