|
--- |
|
paperswithcode_id: doqa |
|
--- |
|
|
|
# Dataset Card for "doqa" |
|
|
|
## Table of Contents |
|
- [Dataset Description](#dataset-description) |
|
- [Dataset Summary](#dataset-summary) |
|
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
|
- [Languages](#languages) |
|
- [Dataset Structure](#dataset-structure) |
|
- [Data Instances](#data-instances) |
|
- [Data Fields](#data-fields) |
|
- [Data Splits](#data-splits) |
|
- [Dataset Creation](#dataset-creation) |
|
- [Curation Rationale](#curation-rationale) |
|
- [Source Data](#source-data) |
|
- [Annotations](#annotations) |
|
- [Personal and Sensitive Information](#personal-and-sensitive-information) |
|
- [Considerations for Using the Data](#considerations-for-using-the-data) |
|
- [Social Impact of Dataset](#social-impact-of-dataset) |
|
- [Discussion of Biases](#discussion-of-biases) |
|
- [Other Known Limitations](#other-known-limitations) |
|
- [Additional Information](#additional-information) |
|
- [Dataset Curators](#dataset-curators) |
|
- [Licensing Information](#licensing-information) |
|
- [Citation Information](#citation-information) |
|
- [Contributions](#contributions) |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** [https://github.com/RevanthRameshkumar/CRD3](https://github.com/RevanthRameshkumar/CRD3) |
|
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
- **Size of downloaded dataset files:** 12.01 MB |
|
- **Size of the generated dataset:** 16.88 MB |
|
- **Total amount of disk used:** 28.88 MB |
|
|
|
### Dataset Summary |
|
|
|
DoQA is a dataset for accessing Domain Specific FAQs via conversational QA that contains 2,437 information-seeking question/answer dialogues |
|
(10,917 questions in total) on three different domains: cooking, travel and movies. Note that we include in the generic concept of FAQs also |
|
Community Question Answering sites, as well as corporate information in intranets which is maintained in textual form similar to FAQs, often |
|
referred to as internal “knowledge bases”. |
|
|
|
These dialogues are created by crowd workers that play the following two roles: the user who asks questions about a given topic posted in Stack |
|
Exchange (https://stackexchange.com/), and the domain expert who replies to the questions by selecting a short span of text from the long textual |
|
reply in the original post. The expert can rephrase the selected span, in order to make it look more natural. The dataset covers unanswerable |
|
questions and some relevant dialogue acts. |
|
|
|
DoQA enables the development and evaluation of conversational QA systems that help users access the knowledge buried in domain specific FAQs. |
|
|
|
### Supported Tasks and Leaderboards |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Languages |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
## Dataset Structure |
|
|
|
We show detailed information for up to 5 configurations of the dataset. |
|
|
|
### Data Instances |
|
|
|
#### cooking |
|
|
|
- **Size of downloaded dataset files:** 4.00 MB |
|
- **Size of the generated dataset:** 10.79 MB |
|
- **Total amount of disk used:** 14.79 MB |
|
|
|
An example of 'train' looks as follows. |
|
``` |
|
This example was too long and was cropped: |
|
|
|
{ |
|
"answers": { |
|
"answer_start": [852], |
|
"text": ["CANNOTANSWER"] |
|
}, |
|
"background": "\"So, over mixing batter forms gluten, which in turn hardens the cake. Fine.The problem is that I don't want lumps in the cakes, ...", |
|
"context": "\"Milk won't help you - it's mostly water, and gluten develops from flour (more accurately, specific proteins in flour) and water...", |
|
"followup": "n", |
|
"id": "C_64ce44d5f14347f488eb04b50387f022_q#2", |
|
"orig_answer": { |
|
"answer_start": [852], |
|
"text": ["CANNOTANSWER"] |
|
}, |
|
"question": "Ok. What can I add to make it more softer and avoid hardening?", |
|
"title": "What to add to the batter of the cake to avoid hardening when the gluten formation can't be avoided?", |
|
"yesno": "x" |
|
} |
|
``` |
|
|
|
#### movies |
|
|
|
- **Size of downloaded dataset files:** 4.00 MB |
|
- **Size of the generated dataset:** 3.02 MB |
|
- **Total amount of disk used:** 7.02 MB |
|
|
|
An example of 'test' looks as follows. |
|
``` |
|
This example was too long and was cropped: |
|
|
|
{ |
|
"answers": { |
|
"answer_start": [852], |
|
"text": ["CANNOTANSWER"] |
|
}, |
|
"background": "\"So, over mixing batter forms gluten, which in turn hardens the cake. Fine.The problem is that I don't want lumps in the cakes, ...", |
|
"context": "\"Milk won't help you - it's mostly water, and gluten develops from flour (more accurately, specific proteins in flour) and water...", |
|
"followup": "n", |
|
"id": "C_64ce44d5f14347f488eb04b50387f022_q#2", |
|
"orig_answer": { |
|
"answer_start": [852], |
|
"text": ["CANNOTANSWER"] |
|
}, |
|
"question": "Ok. What can I add to make it more softer and avoid hardening?", |
|
"title": "What to add to the batter of the cake to avoid hardening when the gluten formation can't be avoided?", |
|
"yesno": "x" |
|
} |
|
``` |
|
|
|
#### travel |
|
|
|
- **Size of downloaded dataset files:** 4.00 MB |
|
- **Size of the generated dataset:** 3.07 MB |
|
- **Total amount of disk used:** 7.07 MB |
|
|
|
An example of 'test' looks as follows. |
|
``` |
|
This example was too long and was cropped: |
|
|
|
{ |
|
"answers": { |
|
"answer_start": [852], |
|
"text": ["CANNOTANSWER"] |
|
}, |
|
"background": "\"So, over mixing batter forms gluten, which in turn hardens the cake. Fine.The problem is that I don't want lumps in the cakes, ...", |
|
"context": "\"Milk won't help you - it's mostly water, and gluten develops from flour (more accurately, specific proteins in flour) and water...", |
|
"followup": "n", |
|
"id": "C_64ce44d5f14347f488eb04b50387f022_q#2", |
|
"orig_answer": { |
|
"answer_start": [852], |
|
"text": ["CANNOTANSWER"] |
|
}, |
|
"question": "Ok. What can I add to make it more softer and avoid hardening?", |
|
"title": "What to add to the batter of the cake to avoid hardening when the gluten formation can't be avoided?", |
|
"yesno": "x" |
|
} |
|
``` |
|
|
|
### Data Fields |
|
|
|
The data fields are the same among all splits. |
|
|
|
#### cooking |
|
- `title`: a `string` feature. |
|
- `background`: a `string` feature. |
|
- `context`: a `string` feature. |
|
- `question`: a `string` feature. |
|
- `id`: a `string` feature. |
|
- `answers`: a dictionary feature containing: |
|
- `text`: a `string` feature. |
|
- `answer_start`: a `int32` feature. |
|
- `followup`: a `string` feature. |
|
- `yesno`: a `string` feature. |
|
- `orig_answer`: a dictionary feature containing: |
|
- `text`: a `string` feature. |
|
- `answer_start`: a `int32` feature. |
|
|
|
#### movies |
|
- `title`: a `string` feature. |
|
- `background`: a `string` feature. |
|
- `context`: a `string` feature. |
|
- `question`: a `string` feature. |
|
- `id`: a `string` feature. |
|
- `answers`: a dictionary feature containing: |
|
- `text`: a `string` feature. |
|
- `answer_start`: a `int32` feature. |
|
- `followup`: a `string` feature. |
|
- `yesno`: a `string` feature. |
|
- `orig_answer`: a dictionary feature containing: |
|
- `text`: a `string` feature. |
|
- `answer_start`: a `int32` feature. |
|
|
|
#### travel |
|
- `title`: a `string` feature. |
|
- `background`: a `string` feature. |
|
- `context`: a `string` feature. |
|
- `question`: a `string` feature. |
|
- `id`: a `string` feature. |
|
- `answers`: a dictionary feature containing: |
|
- `text`: a `string` feature. |
|
- `answer_start`: a `int32` feature. |
|
- `followup`: a `string` feature. |
|
- `yesno`: a `string` feature. |
|
- `orig_answer`: a dictionary feature containing: |
|
- `text`: a `string` feature. |
|
- `answer_start`: a `int32` feature. |
|
|
|
### Data Splits |
|
|
|
#### cooking |
|
|
|
| |train|validation|test| |
|
|-------|----:|---------:|---:| |
|
|cooking| 4612| 911|1797| |
|
|
|
#### movies |
|
|
|
| |test| |
|
|------|---:| |
|
|movies|1884| |
|
|
|
#### travel |
|
|
|
| |test| |
|
|------|---:| |
|
|travel|1713| |
|
|
|
## Dataset Creation |
|
|
|
### Curation Rationale |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Source Data |
|
|
|
#### Initial Data Collection and Normalization |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
#### Who are the source language producers? |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Annotations |
|
|
|
#### Annotation process |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
#### Who are the annotators? |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Personal and Sensitive Information |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
## Considerations for Using the Data |
|
|
|
### Social Impact of Dataset |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Discussion of Biases |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Other Known Limitations |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
## Additional Information |
|
|
|
### Dataset Curators |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Licensing Information |
|
|
|
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
|
|
|
### Citation Information |
|
|
|
``` |
|
|
|
@misc{campos2020doqa, |
|
title={DoQA -- Accessing Domain-Specific FAQs via Conversational QA}, |
|
author={Jon Ander Campos and Arantxa Otegi and Aitor Soroa and Jan Deriu and Mark Cieliebak and Eneko Agirre}, |
|
year={2020}, |
|
eprint={2005.01328}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.CL} |
|
} |
|
|
|
``` |
|
|
|
|
|
### Contributions |
|
|
|
Thanks to [@mariamabarham](https://github.com/mariamabarham), [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq) for adding this dataset. |
