
# Dataset Card for "qangaroo"

## 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:** [http://qangaroo.cs.ucl.ac.uk/index.html](http://qangaroo.cs.ucl.ac.uk/index.html)
- **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:** 1.36 GB
- **Size of the generated dataset:** 981.89 MB
- **Total amount of disk used:** 2.34 GB

### Dataset Summary

  We have created two new Reading Comprehension datasets focussing on multi-hop (alias multi-step) inference.

Several pieces of information often jointly imply another fact. In multi-hop inference, a new fact is derived by combining facts via a chain of multiple steps.

Our aim is to build Reading Comprehension methods that perform multi-hop inference on text, where individual facts are spread out across different documents.

The two QAngaroo datasets provide a training and evaluation resource for such methods.

### 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

#### masked_medhop

- **Size of downloaded dataset files:** 339.84 MB
- **Size of the generated dataset:** 112.63 MB
- **Total amount of disk used:** 452.47 MB

An example of 'validation' looks as follows.
```

```

#### masked_wikihop

- **Size of downloaded dataset files:** 339.84 MB
- **Size of the generated dataset:** 391.98 MB
- **Total amount of disk used:** 731.82 MB

An example of 'validation' looks as follows.
```

```

#### medhop

- **Size of downloaded dataset files:** 339.84 MB
- **Size of the generated dataset:** 110.42 MB
- **Total amount of disk used:** 450.26 MB

An example of 'validation' looks as follows.
```

```

#### wikihop

- **Size of downloaded dataset files:** 339.84 MB
- **Size of the generated dataset:** 366.87 MB
- **Total amount of disk used:** 706.71 MB

An example of 'validation' looks as follows.
```

```

### Data Fields

The data fields are the same among all splits.

#### masked_medhop
- `query`: a `string` feature.
- `supports`: a `list` of `string` features.
- `candidates`: a `list` of `string` features.
- `answer`: a `string` feature.
- `id`: a `string` feature.

#### masked_wikihop
- `query`: a `string` feature.
- `supports`: a `list` of `string` features.
- `candidates`: a `list` of `string` features.
- `answer`: a `string` feature.
- `id`: a `string` feature.

#### medhop
- `query`: a `string` feature.
- `supports`: a `list` of `string` features.
- `candidates`: a `list` of `string` features.
- `answer`: a `string` feature.
- `id`: a `string` feature.

#### wikihop
- `query`: a `string` feature.
- `supports`: a `list` of `string` features.
- `candidates`: a `list` of `string` features.
- `answer`: a `string` feature.
- `id`: a `string` feature.

### Data Splits

|     name     |train|validation|
|--------------|----:|---------:|
|masked_medhop | 1620|       342|
|masked_wikihop|43738|      5129|
|medhop        | 1620|       342|
|wikihop       |43738|      5129|

## 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

```

```


### Contributions

Thanks to [@thomwolf](https://github.com/thomwolf), [@jplu](https://github.com/jplu), [@lewtun](https://github.com/lewtun), [@lhoestq](https://github.com/lhoestq), [@mariamabarham](https://github.com/mariamabarham) for adding this dataset.
language:en region:us
{"language": ["en"], "pretty_name": "qangaroo", "dataset_info": [{"config_name": "medhop", "features": [{"name": "query", "dtype": "string"}, {"name": "supports", "sequence": "string"}, {"name": "candidates", "sequence": "string"}, {"name": "answer", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 93947725, "num_examples": 1620}, {"name": "validation", "num_bytes": 16463555, "num_examples": 342}], "download_size": 339843061, "dataset_size": 110411280}, {"config_name": "masked_medhop", "features": [{"name": "query", "dtype": "string"}, {"name": "supports", "sequence": "string"}, {"name": "candidates", "sequence": "string"}, {"name": "answer", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 95823986, "num_examples": 1620}, {"name": "validation", "num_bytes": 16802484, "num_examples": 342}], "download_size": 339843061, "dataset_size": 112626470}, {"config_name": "wikihop", "features": [{"name": "query", "dtype": "string"}, {"name": "supports", "sequence": "string"}, {"name": "candidates", "sequence": "string"}, {"name": "answer", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 325994029, "num_examples": 43738}, {"name": "validation", "num_bytes": 40869634, "num_examples": 5129}], "download_size": 339843061, "dataset_size": 366863663}, {"config_name": "masked_wikihop", "features": [{"name": "query", "dtype": "string"}, {"name": "supports", "sequence": "string"}, {"name": "candidates", "sequence": "string"}, {"name": "answer", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 348290479, "num_examples": 43738}, {"name": "validation", "num_bytes": 43689810, "num_examples": 5129}], "download_size": 339843061, "dataset_size": 391980289}]}
TAGS
#language-English #region-us 

Dataset Card for "qangaroo"
===========================


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: 1.36 GB
* Size of the generated dataset: 981.89 MB
* Total amount of disk used: 2.34 GB


### Dataset Summary


We have created two new Reading Comprehension datasets focussing on multi-hop (alias multi-step) inference.


Several pieces of information often jointly imply another fact. In multi-hop inference, a new fact is derived by combining facts via a chain of multiple steps.


Our aim is to build Reading Comprehension methods that perform multi-hop inference on text, where individual facts are spread out across different documents.


The two QAngaroo datasets provide a training and evaluation resource for such methods.


### Supported Tasks and Leaderboards


### Languages


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


### Data Instances


#### masked\_medhop


* Size of downloaded dataset files: 339.84 MB
* Size of the generated dataset: 112.63 MB
* Total amount of disk used: 452.47 MB


An example of 'validation' looks as follows.


#### masked\_wikihop


* Size of downloaded dataset files: 339.84 MB
* Size of the generated dataset: 391.98 MB
* Total amount of disk used: 731.82 MB


An example of 'validation' looks as follows.


#### medhop


* Size of downloaded dataset files: 339.84 MB
* Size of the generated dataset: 110.42 MB
* Total amount of disk used: 450.26 MB


An example of 'validation' looks as follows.


#### wikihop


* Size of downloaded dataset files: 339.84 MB
* Size of the generated dataset: 366.87 MB
* Total amount of disk used: 706.71 MB


An example of 'validation' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### masked\_medhop


* 'query': a 'string' feature.
* 'supports': a 'list' of 'string' features.
* 'candidates': a 'list' of 'string' features.
* 'answer': a 'string' feature.
* 'id': a 'string' feature.


#### masked\_wikihop


* 'query': a 'string' feature.
* 'supports': a 'list' of 'string' features.
* 'candidates': a 'list' of 'string' features.
* 'answer': a 'string' feature.
* 'id': a 'string' feature.


#### medhop


* 'query': a 'string' feature.
* 'supports': a 'list' of 'string' features.
* 'candidates': a 'list' of 'string' features.
* 'answer': a 'string' feature.
* 'id': a 'string' feature.


#### wikihop


* 'query': a 'string' feature.
* 'supports': a 'list' of 'string' features.
* 'candidates': a 'list' of 'string' features.
* 'answer': a 'string' feature.
* 'id': 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, @jplu, @lewtun, @lhoestq, @mariamabarham for adding this dataset.



### Dataset Summary


We have created two new Reading Comprehension datasets focussing on multi-hop (alias multi-step) inference.


Several pieces of information often jointly imply another fact. In multi-hop inference, a new fact is derived by combining facts via a chain of multiple steps.


Our aim is to build Reading Comprehension methods that perform multi-hop inference on text, where individual facts are spread out across different documents.


The two QAngaroo datasets provide a training and evaluation resource for such methods. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### masked\_medhop


* Size of downloaded dataset files: 339.84 MB
* Size of the generated dataset: 112.63 MB
* Total amount of disk used: 452.47 MB


An example of 'validation' looks as follows. #### masked\_wikihop


* Size of downloaded dataset files: 339.84 MB
* Size of the generated dataset: 391.98 MB
* Total amount of disk used: 731.82 MB


An example of 'validation' looks as follows. #### medhop


* Size of downloaded dataset files: 339.84 MB
* Size of the generated dataset: 110.42 MB
* Total amount of disk used: 450.26 MB


An example of 'validation' looks as follows. #### wikihop


* Size of downloaded dataset files: 339.84 MB
* Size of the generated dataset: 366.87 MB
* Total amount of disk used: 706.71 MB


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


The data fields are the same among all splits. #### masked\_medhop


* 'query': a 'string' feature.
* 'supports': a 'list' of 'string' features.
* 'candidates': a 'list' of 'string' features.
* 'answer': a 'string' feature.
* 'id': a 'string' feature. #### masked\_wikihop


* 'query': a 'string' feature.
* 'supports': a 'list' of 'string' features.
* 'candidates': a 'list' of 'string' features.
* 'answer': a 'string' feature.
* 'id': a 'string' feature. #### medhop


* 'query': a 'string' feature.
* 'supports': a 'list' of 'string' features.
* 'candidates': a 'list' of 'string' features.
* 'answer': a 'string' feature.
* 'id': a 'string' feature. #### wikihop


* 'query': a 'string' feature.
* 'supports': a 'list' of 'string' features.
* 'candidates': a 'list' of 'string' features.
* 'answer': a 'string' feature.
* 'id': 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, @jplu, @lewtun, @lhoestq, @mariamabarham for adding this dataset.
TAGS
#language-English #region-us 
 ### Dataset Summary


We have created two new Reading Comprehension datasets focussing on multi-hop (alias multi-step) inference.


Several pieces of information often jointly imply another fact. In multi-hop inference, a new fact is derived by combining facts via a chain of multiple steps.


Our aim is to build Reading Comprehension methods that perform multi-hop inference on text, where individual facts are spread out across different documents.


The two QAngaroo datasets provide a training and evaluation resource for such methods. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### masked\_medhop


* Size of downloaded dataset files: 339.84 MB
* Size of the generated dataset: 112.63 MB
* Total amount of disk used: 452.47 MB


An example of 'validation' looks as follows. #### masked\_wikihop


* Size of downloaded dataset files: 339.84 MB
* Size of the generated dataset: 391.98 MB
* Total amount of disk used: 731.82 MB


An example of 'validation' looks as follows. #### medhop


* Size of downloaded dataset files: 339.84 MB
* Size of the generated dataset: 110.42 MB
* Total amount of disk used: 450.26 MB


An example of 'validation' looks as follows. #### wikihop


* Size of downloaded dataset files: 339.84 MB
* Size of the generated dataset: 366.87 MB
* Total amount of disk used: 706.71 MB


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


The data fields are the same among all splits. #### masked\_medhop


* 'query': a 'string' feature.
* 'supports': a 'list' of 'string' features.
* 'candidates': a 'list' of 'string' features.
* 'answer': a 'string' feature.
* 'id': a 'string' feature. #### masked\_wikihop


* 'query': a 'string' feature.
* 'supports': a 'list' of 'string' features.
* 'candidates': a 'list' of 'string' features.
* 'answer': a 'string' feature.
* 'id': a 'string' feature. #### medhop


* 'query': a 'string' feature.
* 'supports': a 'list' of 'string' features.
* 'candidates': a 'list' of 'string' features.
* 'answer': a 'string' feature.
* 'id': a 'string' feature. #### wikihop


* 'query': a 'string' feature.
* 'supports': a 'list' of 'string' features.
* 'candidates': a 'list' of 'string' features.
* 'answer': a 'string' feature.
* 'id': 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, @jplu, @lewtun, @lhoestq, @mariamabarham for adding this dataset.
passage: TAGS
#language-English #region-us 
### Dataset Summary


We have created two new Reading Comprehension datasets focussing on multi-hop (alias multi-step) inference.


Several pieces of information often jointly imply another fact. In multi-hop inference, a new fact is derived by combining facts via a chain of multiple steps.


Our aim is to build Reading Comprehension methods that perform multi-hop inference on text, where individual facts are spread out across different documents.


The two QAngaroo datasets provide a training and evaluation resource for such methods.### Supported Tasks and Leaderboards### Languages


Dataset Structure
-----------------### Data Instances#### masked\_medhop


* Size of downloaded dataset files: 339.84 MB
* Size of the generated dataset: 112.63 MB
* Total amount of disk used: 452.47 MB


An example of 'validation' looks as follows.#### masked\_wikihop


* Size of downloaded dataset files: 339.84 MB
* Size of the generated dataset: 391.98 MB
* Total amount of disk used: 731.82 MB


An example of 'validation' looks as follows.#### medhop


* Size of downloaded dataset files: 339.84 MB
* Size of the generated dataset: 110.42 MB
* Total amount of disk used: 450.26 MB


An example of 'validation' looks as follows.#### wikihop


* Size of downloaded dataset files: 339.84 MB
* Size of the generated dataset: 366.87 MB
* Total amount of disk used: 706.71 MB


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


The data fields are the same among all splits.#### masked\_medhop


* 'query': a 'string' feature.
* 'supports': a 'list' of 'string' features.
* 'candidates': a 'list' of 'string' features.
* 'answer': a 'string' feature.
* 'id': a 'string' feature.