irds/trec-cast_v1_2020

Dataset Card for trec-cast/v1/2020

The trec-cast/v1/2020 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=216

• qrels: (relevance assessments); count=40,451

• For docs, use irds/trec-cast_v1

This dataset is used by: trec-cast_v1_2020_judged

Usage

from datasets import load_dataset

queries = load_dataset('irds/trec-cast_v1_2020', 'queries')
for record in queries:
    record # {'query_id': ..., 'raw_utterance': ..., 'automatic_rewritten_utterance': ..., 'manual_rewritten_utterance': ..., 'manual_canonical_result_id': ..., 'topic_number': ..., 'turn_number': ...}

qrels = load_dataset('irds/trec-cast_v1_2020', '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{Dalton2020Cast,
  title={CAsT 2020: The Conversational Assistance Track Overview},
  author={Jeffrey Dalton and Chenyan Xiong and Jamie Callan},
  booktitle={TREC},
  year={2020}
}