Datasets:
metadata
license: apache-2.0
task_categories:
- text-generation
language:
- en
tags:
- conversational-search
- query-rewriting
- cqr
Conversational Query Rewriting (CQR) Dataset
Unified dataset for training CQR models. Combines human-annotated rewrites from QReCC, CANARD, and Redis examples.
Schema
| Field | Type | Description |
|---|---|---|
context |
list[str] |
Previous conversation turns |
question |
str |
Context-dependent question |
rewrite |
str |
Self-contained rewrite |
dataset |
str |
Source dataset |
split |
str |
Original split |
index |
int |
Original index |
Splits
| Split | Count |
|---|---|
| train | 83702 |
| validation | 2196 |
| test | 19824 |
Sources
QReCC (apple/ml-qrecc) - Apache 2.0
@inproceedings{anantha-etal-2021-qrecc,
title = "Open-Domain Question Answering Goes Conversational via Question Rewriting",
author = "Anantha, Raviteja and Vakulenko, Svitlana and Tu, Zhucheng and Longpre, Shayne and Pulman, Stephen and Chappidi, Srinivas",
booktitle = "NAACL",
year = "2021",
url = "https://aclanthology.org/2021.naacl-main.44",
}
CANARD (uva-irlab/canard_quretec) - CC BY-SA 4.0
@inproceedings{elgohary-etal-2019-canard,
title = "Can You Unpack That? Learning to Rewrite Questions-in-Context",
author = "Elgohary, Ahmed and Peskov, Denis and Boyd-Graber, Jordan",
booktitle = "EMNLP-IJCNLP",
year = "2019",
url = "https://aclanthology.org/D19-1605",
}
Redis Examples - Hand-crafted examples by Redis - Apache 2.0
Citation
If you use this dataset, please cite this Hugging Face entry and the source datasets above.
@misc{zhechev2025cqr,
title = "Conversational Query Rewriting Dataset",
author = "Zhechev, Iliya and Ralev, Rado and Rajamohan, Srijith and Redis",
year = "2025",
publisher = "Hugging Face",
url = "https://huggingface.co/datasets/redis/langcache-cqr-v1",
}