
# Dataset Card for "wiqa"

## 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://allenai.org/data/wiqa](https://allenai.org/data/wiqa)
- **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:** 5.24 MB
- **Size of the generated dataset:** 22.40 MB
- **Total amount of disk used:** 27.65 MB

### Dataset Summary

The WIQA dataset V1 has 39705 questions containing a perturbation and a possible effect in the context of a paragraph.
The dataset is split into 29808 train questions, 6894 dev questions and 3003 test questions.

### 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

### Data Instances

#### default

- **Size of downloaded dataset files:** 5.24 MB
- **Size of the generated dataset:** 22.40 MB
- **Total amount of disk used:** 27.65 MB

An example of 'validation' looks as follows.
```
{
    "answer_label": "more",
    "answer_label_as_choice": "A",
    "choices": {
        "label": ["A", "B", "C"],
        "text": ["more", "less", "no effect"]
    },
    "metadata_graph_id": "481",
    "metadata_para_id": "528",
    "metadata_path_len": 3,
    "metadata_question_id": "influence_graph:528:481:77#0",
    "metadata_question_type": "INPARA_EFFECT",
    "question_para_step": ["A male and female rabbit mate", "The female rabbit becomes pregnant", "Baby rabbits form inside of the mother rabbit", "The female rabbit gives birth to a litter", "The newborn rabbits grow up to become adults", "The adult rabbits find mates."],
    "question_stem": "suppose the female is sterile happens, how will it affect LESS rabbits."
}
```

### Data Fields

The data fields are the same among all splits.

#### default
- `question_stem`: a `string` feature.
- `question_para_step`: a `list` of `string` features.
- `answer_label`: a `string` feature.
- `answer_label_as_choice`: a `string` feature.
- `choices`: a dictionary feature containing:
  - `text`: a `string` feature.
  - `label`: a `string` feature.
- `metadata_question_id`: a `string` feature.
- `metadata_graph_id`: a `string` feature.
- `metadata_para_id`: a `string` feature.
- `metadata_question_type`: a `string` feature.
- `metadata_path_len`: a `int32` feature.

### Data Splits

| name  |train|validation|test|
|-------|----:|---------:|---:|
|default|29808|      6894|3003|

## 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

```
@article{wiqa,
      author    = {Niket Tandon and Bhavana Dalvi Mishra and Keisuke Sakaguchi and Antoine Bosselut and Peter Clark}
      title     = {WIQA: A dataset for "What if..." reasoning over procedural text},
      journal   = {arXiv:1909.04739v1},
      year      = {2019},
}

```


### Contributions

Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun), [@thomwolf](https://github.com/thomwolf), [@mariamabarham](https://github.com/mariamabarham), [@lhoestq](https://github.com/lhoestq) for adding this dataset.
language:en region:us
{"language": ["en"], "paperswithcode_id": "wiqa", "pretty_name": "What-If Question Answering", "dataset_info": {"features": [{"name": "question_stem", "dtype": "string"}, {"name": "question_para_step", "sequence": "string"}, {"name": "answer_label", "dtype": "string"}, {"name": "answer_label_as_choice", "dtype": "string"}, {"name": "choices", "sequence": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "string"}]}, {"name": "metadata_question_id", "dtype": "string"}, {"name": "metadata_graph_id", "dtype": "string"}, {"name": "metadata_para_id", "dtype": "string"}, {"name": "metadata_question_type", "dtype": "string"}, {"name": "metadata_path_len", "dtype": "int32"}], "splits": [{"name": "train", "num_bytes": 17089298, "num_examples": 29808}, {"name": "test", "num_bytes": 1532223, "num_examples": 3003}, {"name": "validation", "num_bytes": 3779584, "num_examples": 6894}], "download_size": 5247733, "dataset_size": 22401105}}
TAGS
#language-English #region-us 

Dataset Card for "wiqa"
=======================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ Personal and Sensitive Information
* Considerations for Using the Data
	+ Social Impact of Dataset
	+ Discussion of Biases
	+ Other Known Limitations
* Additional Information
	+ Dataset Curators
	+ Licensing Information
	+ Citation Information
	+ Contributions


Dataset Description
-------------------


* Homepage: URL
* Repository:
* Paper:
* Point of Contact:
* Size of downloaded dataset files: 5.24 MB
* Size of the generated dataset: 22.40 MB
* Total amount of disk used: 27.65 MB


### Dataset Summary


The WIQA dataset V1 has 39705 questions containing a perturbation and a possible effect in the context of a paragraph.
The dataset is split into 29808 train questions, 6894 dev questions and 3003 test questions.


### Supported Tasks and Leaderboards


### Languages


Dataset Structure
-----------------


### Data Instances


#### default


* Size of downloaded dataset files: 5.24 MB
* Size of the generated dataset: 22.40 MB
* Total amount of disk used: 27.65 MB


An example of 'validation' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### default


* 'question\_stem': a 'string' feature.
* 'question\_para\_step': a 'list' of 'string' features.
* 'answer\_label': a 'string' feature.
* 'answer\_label\_as\_choice': a 'string' feature.
* 'choices': a dictionary feature containing:
	+ 'text': a 'string' feature.
	+ 'label': a 'string' feature.
* 'metadata\_question\_id': a 'string' feature.
* 'metadata\_graph\_id': a 'string' feature.
* 'metadata\_para\_id': a 'string' feature.
* 'metadata\_question\_type': a 'string' feature.
* 'metadata\_path\_len': a 'int32' feature.


### Data Splits



Dataset Creation
----------------


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


### Annotations


#### Annotation process


#### Who are the annotators?


### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------


### Social Impact of Dataset


### Discussion of Biases


### Other Known Limitations


Additional Information
----------------------


### Dataset Curators


### Licensing Information


### Contributions


Thanks to @patrickvonplaten, @lewtun, @thomwolf, @mariamabarham, @lhoestq for adding this dataset.



### Dataset Summary


The WIQA dataset V1 has 39705 questions containing a perturbation and a possible effect in the context of a paragraph.
The dataset is split into 29808 train questions, 6894 dev questions and 3003 test questions. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### default


* Size of downloaded dataset files: 5.24 MB
* Size of the generated dataset: 22.40 MB
* Total amount of disk used: 27.65 MB


An example of 'validation' looks as follows. ### Data Fields


The data fields are the same among all splits. #### default


* 'question\_stem': a 'string' feature.
* 'question\_para\_step': a 'list' of 'string' features.
* 'answer\_label': a 'string' feature.
* 'answer\_label\_as\_choice': a 'string' feature.
* 'choices': a dictionary feature containing:
	+ 'text': a 'string' feature.
	+ 'label': a 'string' feature.
* 'metadata\_question\_id': a 'string' feature.
* 'metadata\_graph\_id': a 'string' feature.
* 'metadata\_para\_id': a 'string' feature.
* 'metadata\_question\_type': a 'string' feature.
* 'metadata\_path\_len': a 'int32' feature. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information ### Contributions


Thanks to @patrickvonplaten, @lewtun, @thomwolf, @mariamabarham, @lhoestq for adding this dataset.
TAGS
#language-English #region-us 
 ### Dataset Summary


The WIQA dataset V1 has 39705 questions containing a perturbation and a possible effect in the context of a paragraph.
The dataset is split into 29808 train questions, 6894 dev questions and 3003 test questions. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### default


* Size of downloaded dataset files: 5.24 MB
* Size of the generated dataset: 22.40 MB
* Total amount of disk used: 27.65 MB


An example of 'validation' looks as follows. ### Data Fields


The data fields are the same among all splits. #### default


* 'question\_stem': a 'string' feature.
* 'question\_para\_step': a 'list' of 'string' features.
* 'answer\_label': a 'string' feature.
* 'answer\_label\_as\_choice': a 'string' feature.
* 'choices': a dictionary feature containing:
	+ 'text': a 'string' feature.
	+ 'label': a 'string' feature.
* 'metadata\_question\_id': a 'string' feature.
* 'metadata\_graph\_id': a 'string' feature.
* 'metadata\_para\_id': a 'string' feature.
* 'metadata\_question\_type': a 'string' feature.
* 'metadata\_path\_len': a 'int32' feature. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information ### Contributions


Thanks to @patrickvonplaten, @lewtun, @thomwolf, @mariamabarham, @lhoestq for adding this dataset.
passage: TAGS
#language-English #region-us 
### Dataset Summary


The WIQA dataset V1 has 39705 questions containing a perturbation and a possible effect in the context of a paragraph.
The dataset is split into 29808 train questions, 6894 dev questions and 3003 test questions.### Supported Tasks and Leaderboards### Languages


Dataset Structure
-----------------### Data Instances#### default


* Size of downloaded dataset files: 5.24 MB
* Size of the generated dataset: 22.40 MB
* Total amount of disk used: 27.65 MB


An example of 'validation' looks as follows.### Data Fields


The data fields are the same among all splits.#### default


* 'question\_stem': a 'string' feature.
* 'question\_para\_step': a 'list' of 'string' features.
* 'answer\_label': a 'string' feature.
* 'answer\_label\_as\_choice': a 'string' feature.
* 'choices': a dictionary feature containing:
	+ 'text': a 'string' feature.
	+ 'label': a 'string' feature.
* 'metadata\_question\_id': a 'string' feature.
* 'metadata\_graph\_id': a 'string' feature.
* 'metadata\_para\_id': a 'string' feature.
* 'metadata\_question\_type': a 'string' feature.
* 'metadata\_path\_len': a 'int32' feature.### Data Splits



Dataset Creation
----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations


Additional Information
----------------------### Dataset Curators### Licensing Information