
# Dataset Card for "quarel"

## 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/quarel](https://allenai.org/data/quarel)
- **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:** 0.63 MB
- **Size of the generated dataset:** 1.53 MB
- **Total amount of disk used:** 2.17 MB

### Dataset Summary

QuaRel is a crowdsourced dataset of 2771 multiple-choice story questions, including their logical forms.

### 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:** 0.63 MB
- **Size of the generated dataset:** 1.53 MB
- **Total amount of disk used:** 2.17 MB

An example of 'train' looks as follows.
```
{
    "answer_index": 0,
    "id": "QuaRel_V1_B5_1403",
    "logical_form_pretty": "qrel(time, lower, world1) -> qrel(distance, higher, world2) ; qrel(distance, higher, world1)",
    "logical_forms": ["(infer (time lower world1) (distance higher world2) (distance higher world1))", "(infer (time lower world2) (distance higher world1) (distance higher world2))"],
    "question": "John and Rita are going for a run.  Rita gets tired and takes a break on the park bench.  After twenty minutes in the park, who has run farther? (A) John (B) Rita",
    "world_literals": {
        "world1": ["Rita"],
        "world2": ["John"]
    }
}
```

### Data Fields

The data fields are the same among all splits.

#### default
- `id`: a `string` feature.
- `answer_index`: a `int32` feature.
- `logical_forms`: a `list` of `string` features.
- `logical_form_pretty`: a `string` feature.
- `world_literals`: a dictionary feature containing:
  - `world1`: a `string` feature.
  - `world2`: a `string` feature.
- `question`: a `string` feature.

### Data Splits

| name  |train|validation|test|
|-------|----:|---------:|---:|
|default| 1941|       278| 552|

## 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

```
@inproceedings{quarel_v1,
    title={QuaRel: A Dataset and Models for Answering Questions about Qualitative Relationships},
    author={Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal},
    year={2018},
    journal={arXiv:1805.05377v1}
}

```


### Contributions

Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@mariamabarham](https://github.com/mariamabarham), [@lhoestq](https://github.com/lhoestq), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.
language:en region:us
{"language": ["en"], "paperswithcode_id": "quarel", "pretty_name": "QuaRel", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "answer_index", "dtype": "int32"}, {"name": "logical_forms", "sequence": "string"}, {"name": "logical_form_pretty", "dtype": "string"}, {"name": "world_literals", "sequence": [{"name": "world1", "dtype": "string"}, {"name": "world2", "dtype": "string"}]}, {"name": "question", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1072874, "num_examples": 1941}, {"name": "test", "num_bytes": 307588, "num_examples": 552}, {"name": "validation", "num_bytes": 154308, "num_examples": 278}], "download_size": 631370, "dataset_size": 1534770}}
TAGS
#language-English #region-us 

Dataset Card for "quarel"
=========================


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: 0.63 MB
* Size of the generated dataset: 1.53 MB
* Total amount of disk used: 2.17 MB


### Dataset Summary


QuaRel is a crowdsourced dataset of 2771 multiple-choice story questions, including their logical forms.


### Supported Tasks and Leaderboards


### Languages


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


### Data Instances


#### default


* Size of downloaded dataset files: 0.63 MB
* Size of the generated dataset: 1.53 MB
* Total amount of disk used: 2.17 MB


An example of 'train' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### default


* 'id': a 'string' feature.
* 'answer\_index': a 'int32' feature.
* 'logical\_forms': a 'list' of 'string' features.
* 'logical\_form\_pretty': a 'string' feature.
* 'world\_literals': a dictionary feature containing:
	+ 'world1': a 'string' feature.
	+ 'world2': a 'string' feature.
* 'question': a 'string' 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 @thomwolf, @lewtun, @mariamabarham, @lhoestq, @patrickvonplaten for adding this dataset.



### Dataset Summary


QuaRel is a crowdsourced dataset of 2771 multiple-choice story questions, including their logical forms. ### Supported Tasks and Leaderboards ### Languages


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


* Size of downloaded dataset files: 0.63 MB
* Size of the generated dataset: 1.53 MB
* Total amount of disk used: 2.17 MB


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


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


* 'id': a 'string' feature.
* 'answer\_index': a 'int32' feature.
* 'logical\_forms': a 'list' of 'string' features.
* 'logical\_form\_pretty': a 'string' feature.
* 'world\_literals': a dictionary feature containing:
	+ 'world1': a 'string' feature.
	+ 'world2': a 'string' feature.
* 'question': a 'string' 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 @thomwolf, @lewtun, @mariamabarham, @lhoestq, @patrickvonplaten for adding this dataset.
TAGS
#language-English #region-us 
 ### Dataset Summary


QuaRel is a crowdsourced dataset of 2771 multiple-choice story questions, including their logical forms. ### Supported Tasks and Leaderboards ### Languages


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


* Size of downloaded dataset files: 0.63 MB
* Size of the generated dataset: 1.53 MB
* Total amount of disk used: 2.17 MB


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


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


* 'id': a 'string' feature.
* 'answer\_index': a 'int32' feature.
* 'logical\_forms': a 'list' of 'string' features.
* 'logical\_form\_pretty': a 'string' feature.
* 'world\_literals': a dictionary feature containing:
	+ 'world1': a 'string' feature.
	+ 'world2': a 'string' feature.
* 'question': a 'string' 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 @thomwolf, @lewtun, @mariamabarham, @lhoestq, @patrickvonplaten for adding this dataset.
passage: TAGS
#language-English #region-us 
### Dataset Summary


QuaRel is a crowdsourced dataset of 2771 multiple-choice story questions, including their logical forms.### Supported Tasks and Leaderboards### Languages


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


* Size of downloaded dataset files: 0.63 MB
* Size of the generated dataset: 1.53 MB
* Total amount of disk used: 2.17 MB


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


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


* 'id': a 'string' feature.
* 'answer\_index': a 'int32' feature.
* 'logical\_forms': a 'list' of 'string' features.
* 'logical\_form\_pretty': a 'string' feature.
* 'world\_literals': a dictionary feature containing:
	+ 'world1': a 'string' feature.
	+ 'world2': a 'string' feature.
* 'question': a 'string' 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 @thomwolf, @lewtun, @mariamabarham, @lhoestq, @patrickvonplaten for adding this dataset.