Dataset Card for codec

The codec 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=729,824
• queries (i.e., topics); count=42
• qrels: (relevance assessments); count=6,186

This dataset is used by: codec_economics, codec_history, codec_politics

Usage

from datasets import load_dataset

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

queries = load_dataset('irds/codec', 'queries')
for record in queries:
    record # {'query_id': ..., 'query': ..., 'domain': ..., 'guidelines': ...}

qrels = load_dataset('irds/codec', 'qrels')
for record in qrels:
    record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., '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{mackie2022codec,
   title={CODEC: Complex Document and Entity Collection},
   author={Mackie, Iain and Owoicho, Paul and Gemmell, Carlos and Fischer, Sophie and MacAvaney, Sean and Dalton, Jeffery},
   booktitle={Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval},
   year={2022}
}