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## Table of Contents
- [Dataset Card Creation Guide](#dataset-card-creation-guide)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Additional Information](#additional-information)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
## Dataset Description
- **Repository:** [https://github.com/Orange-OpenSource/CoQAR/]()
- **Paper:** [https://arxiv.org/abs/2207.03240]()
- **Point of Contact:** <[email protected]>, <[email protected]>, <[email protected]>
### Dataset Summary
CoQAR is a corpus containing 4.5K conversations from the open-source dataset [Conversational Question-Answering dataset CoQA](https://stanfordnlp.github.io/coqa/), for a total of 53K follow-up question-answer pairs.
In CoQAR each original question was manually annotated with at least 2 at most 3 out-of-context rewritings.
COQAR can be used for (at least) three NLP tasks: question paraphrasing, question rewriting and conversational question answering.
We annotated each original question of CoQA with at least 2 at most 3 out-of-context rewritings.
### Languages
English.
## Dataset Structure
The dataset is composed of several conversations. Each row correspond to one question of one conversation. The fields are the following:
- conversation_id
- turn_id: first question has turn id 0, second question has turn id 1, etc.
- original_question: string
- question_paraphrases : list of decontextualized rewrittings of the original question,
- answer: string, answer to the question,
- answer_span_start: start of the answer span (char number in the story),
- answer_span_end: end of the answer span (char number in the story),
- answer_span_text: string, excerpt of the story from answer_span_start to answer_span_end,
- conversation_history: list of strings corresponding to previous (original) questions and answers,
- file_name
- story: string providing context for the conversation, from which the answers can be deduced
- name
## Additional Information
### Licensing Information
The annotations are published under the licence CC-BY-SA 4.0.
The original content of the dataset CoQA is under the distinct licences described below.
The corpus CoQA contains passages from seven domains, which are public under the following licenses:
- Literature and Wikipedia passages are shared under CC BY-SA 4.0 license.
- Children's stories are collected from MCTest which comes with MSR-LA license.
- Middle/High school exam passages are collected from RACE which comes with its own license.
- News passages are collected from the DeepMind CNN dataset which comes with Apache license (see [K. M. Hermann, T. Kočiský and E. Grefenstette, L. Espeholt, W. Kay, M. Suleyman, P. Blunsom, Teaching Machines to Read and Comprehend. Advances in Neural Information Processing Systems (NIPS), 2015](http://arxiv.org/abs/1506.03340)).
### Citation Information
```
@inproceedings{brabant-etal-2022-coqar,
title = "{C}o{QAR}: Question Rewriting on {C}o{QA}",
author = "Brabant, Quentin and
Lecorv{\'e}, Gw{\'e}nol{\'e} and
Rojas Barahona, Lina M.",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.13",
pages = "119--126"
}
``` |