irds/clueweb12_b13_clef-ehealth

Dataset Card for clueweb12/b13/clef-ehealth

The clueweb12/b13/clef-ehealth dataset, provided by the ir-datasets package. For more information about the dataset, see the documentation.

Data

This dataset provides:

• queries (i.e., topics); count=300

• qrels: (relevance assessments); count=269,232

• For docs, use irds/clueweb12_b13

Usage

from datasets import load_dataset

queries = load_dataset('irds/clueweb12_b13_clef-ehealth', 'queries')
for record in queries:
    record # {'query_id': ..., 'text': ...}

qrels = load_dataset('irds/clueweb12_b13_clef-ehealth', 'qrels')
for record in qrels:
    record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'trustworthiness': ..., 'understandability': ..., 'iteration': ...}

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

@inproceedings{Zuccon2016ClefEhealth,
  title={The IR Task at the CLEF eHealth Evaluation Lab 2016: User-centred Health Information Retrieval},
  author={Guido Zuccon and Joao Palotti and Lorraine Goeuriot and Liadh Kelly and Mihai Lupu and Pavel Pecina and Henning M{\"u}ller and Julie Budaher and Anthony Deacon},
  booktitle={CLEF},
  year={2016}
}
@inproceedings{Palotti2017ClefEhealth,
  title={CLEF 2017 Task Overview: The IR Task at the eHealth Evaluation Lab - Evaluating Retrieval Methods for Consumer Health Search},
  author={Joao Palotti and Guido Zuccon and Jimmy and Pavel Pecina and Mihai Lupu and Lorraine Goeuriot and Liadh Kelly and Allan Hanbury},
  booktitle={CLEF},
  year={2017}
}