
# Dataset Card for "squad_es"

## 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/ccasimiro88/TranslateAlignRetrieve](https://github.com/ccasimiro88/TranslateAlignRetrieve)
- **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:** 39.29 MB
- **Size of the generated dataset:** 94.63 MB
- **Total amount of disk used:** 133.92 MB

### Dataset Summary

Automatic translation of the Stanford Question Answering Dataset (SQuAD) v2 into Spanish

### 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

#### v1.1.0

- **Size of downloaded dataset files:** 39.29 MB
- **Size of the generated dataset:** 94.63 MB
- **Total amount of disk used:** 133.92 MB

An example of 'train' looks as follows.
```
This example was too long and was cropped:

{
    "answers": {
        "answer_start": [404, 356, 356],
        "text": ["Santa Clara, California", "Levi 's Stadium", "Levi 's Stadium en la Bahía de San Francisco en Santa Clara, California."]
    },
    "context": "\"El Super Bowl 50 fue un partido de fútbol americano para determinar al campeón de la NFL para la temporada 2015. El campeón de ...",
    "id": "56be4db0acb8001400a502ee",
    "question": "¿Dónde tuvo lugar el Super Bowl 50?",
    "title": "Super Bowl _ 50"
}
```

### Data Fields

The data fields are the same among all splits.

#### v1.1.0
- `id`: a `string` feature.
- `title`: a `string` feature.
- `context`: a `string` feature.
- `question`: a `string` feature.
- `answers`: a dictionary feature containing:
  - `text`: a `string` feature.
  - `answer_start`: a `int32` feature.

### Data Splits

| name |train|validation|
|------|----:|---------:|
|v1.1.0|87595|     10570|

## 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

The SQuAD-es dataset is licensed under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license.

### Citation Information

```
@article{2016arXiv160605250R,
       author = {Casimiro Pio , Carrino and  Marta R. , Costa-jussa and  Jose A. R. , Fonollosa},
        title = "{Automatic Spanish Translation of the SQuAD Dataset for Multilingual
Question Answering}",
      journal = {arXiv e-prints},
         year = 2019,
          eid = {arXiv:1912.05200v1},
        pages = {arXiv:1912.05200v1},
archivePrefix = {arXiv},
       eprint = {1912.05200v2},
}

```


### Contributions

Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf), [@albertvillanova](https://github.com/albertvillanova), [@lewtun](https://github.com/lewtun) for adding this dataset.
task_categories:question-answering task_ids:extractive-qa annotations_creators:machine-generated language_creators:machine-generated multilinguality:monolingual size_categories:10K<n<100K source_datasets:extended|squad language:es license:cc-by-4.0 arxiv:1912.05200 region:us
{"annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "language": ["es"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|squad"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"], "paperswithcode_id": "squad-es", "pretty_name": "SQuAD-es", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int32"}]}], "config_name": "v1.1.0", "splits": [{"name": "train", "num_bytes": 83680438, "num_examples": 87595}, {"name": "validation", "num_bytes": 10955800, "num_examples": 10570}], "download_size": 39291362, "dataset_size": 94636238}}
TAGS
#task_categories-question-answering #task_ids-extractive-qa #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|squad #language-Spanish #license-cc-by-4.0 #arxiv-1912.05200 #region-us 

Dataset Card for "squad\_es"
============================


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: 39.29 MB
* Size of the generated dataset: 94.63 MB
* Total amount of disk used: 133.92 MB


### Dataset Summary


Automatic translation of the Stanford Question Answering Dataset (SQuAD) v2 into Spanish


### Supported Tasks and Leaderboards


### Languages


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


### Data Instances


#### v1.1.0


* Size of downloaded dataset files: 39.29 MB
* Size of the generated dataset: 94.63 MB
* Total amount of disk used: 133.92 MB


An example of 'train' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### v1.1.0


* 'id': a 'string' feature.
* 'title': a 'string' feature.
* 'context': a 'string' feature.
* 'question': a 'string' feature.
* 'answers': a dictionary feature containing:
	+ 'text': a 'string' feature.
	+ 'answer\_start': 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


The SQuAD-es dataset is licensed under the CC BY 4.0 license.


### Contributions


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



### Dataset Summary


Automatic translation of the Stanford Question Answering Dataset (SQuAD) v2 into Spanish ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### v1.1.0


* Size of downloaded dataset files: 39.29 MB
* Size of the generated dataset: 94.63 MB
* Total amount of disk used: 133.92 MB


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


The data fields are the same among all splits. #### v1.1.0


* 'id': a 'string' feature.
* 'title': a 'string' feature.
* 'context': a 'string' feature.
* 'question': a 'string' feature.
* 'answers': a dictionary feature containing:
	+ 'text': a 'string' feature.
	+ 'answer\_start': 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


The SQuAD-es dataset is licensed under the CC BY 4.0 license. ### Contributions


Thanks to @patrickvonplaten, @thomwolf, @albertvillanova, @lewtun for adding this dataset.
TAGS
#task_categories-question-answering #task_ids-extractive-qa #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|squad #language-Spanish #license-cc-by-4.0 #arxiv-1912.05200 #region-us 
 ### Dataset Summary


Automatic translation of the Stanford Question Answering Dataset (SQuAD) v2 into Spanish ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### v1.1.0


* Size of downloaded dataset files: 39.29 MB
* Size of the generated dataset: 94.63 MB
* Total amount of disk used: 133.92 MB


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


The data fields are the same among all splits. #### v1.1.0


* 'id': a 'string' feature.
* 'title': a 'string' feature.
* 'context': a 'string' feature.
* 'question': a 'string' feature.
* 'answers': a dictionary feature containing:
	+ 'text': a 'string' feature.
	+ 'answer\_start': 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


The SQuAD-es dataset is licensed under the CC BY 4.0 license. ### Contributions


Thanks to @patrickvonplaten, @thomwolf, @albertvillanova, @lewtun for adding this dataset.
passage: TAGS
#task_categories-question-answering #task_ids-extractive-qa #annotations_creators-machine-generated #language_creators-machine-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-extended|squad #language-Spanish #license-cc-by-4.0 #arxiv-1912.05200 #region-us 
### Dataset Summary


Automatic translation of the Stanford Question Answering Dataset (SQuAD) v2 into Spanish### Supported Tasks and Leaderboards### Languages


Dataset Structure
-----------------### Data Instances#### v1.1.0


* Size of downloaded dataset files: 39.29 MB
* Size of the generated dataset: 94.63 MB
* Total amount of disk used: 133.92 MB


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


The data fields are the same among all splits.#### v1.1.0


* 'id': a 'string' feature.
* 'title': a 'string' feature.
* 'context': a 'string' feature.
* 'question': a 'string' feature.
* 'answers': a dictionary feature containing:
	+ 'text': a 'string' feature.
	+ 'answer\_start': 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


The SQuAD-es dataset is licensed under the CC BY 4.0 license.### Contributions


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