## 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:** <quentin.brabant@orange.com>, <gwenole.lecorve@orange.com>, <linamaria.rojasbarahona@orange.com>

### 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. 

![image](https://user-images.githubusercontent.com/52821991/165952155-822ce743-791d-46c8-8705-0937a69df933.png)


### 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"
}
```