PatziTazi/History.Ai
Reinforcement Learning
•
Updated
codec/history
The codec/history
dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
This dataset provides:
queries
(i.e., topics); count=14
qrels
: (relevance assessments); count=2,024
For docs
, use irds/codec
from datasets import load_dataset
queries = load_dataset('irds/codec_history', 'queries')
for record in queries:
record # {'query_id': ..., 'query': ..., 'domain': ..., 'guidelines': ...}
qrels = load_dataset('irds/codec_history', '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.
@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}
}