irds/nfcorpus_train_video

Dataset Card for nfcorpus/train/video

The nfcorpus/train/video 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=812

• qrels: (relevance assessments); count=27,465

• For docs, use irds/nfcorpus

Usage

from datasets import load_dataset

queries = load_dataset('irds/nfcorpus_train_video', 'queries')
for record in queries:
    record # {'query_id': ..., 'title': ..., 'desc': ...}

qrels = load_dataset('irds/nfcorpus_train_video', 'qrels')
for record in qrels:
    record # {'query_id': ..., 'doc_id': ..., 'relevance': ...}

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{Boteva2016Nfcorpus,
  title="A Full-Text Learning to Rank Dataset for Medical Information Retrieval",
  author = "Vera Boteva and Demian Gholipour and Artem Sokolov and Stefan Riezler",
  booktitle = "Proceedings of the European Conference on Information Retrieval ({ECIR})",
  location = "Padova, Italy",
  publisher = "Springer",
  year = 2016
}