
# Dataset Card for [Dataset Name]

## Table of Contents
- [Table of Contents](#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:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

SK-QuAD is the first QA dataset for the Slovak language.
It is manually annotated, so it has no distortion caused by
machine translation. The dataset is thematically diverse – it
does not overlap with SQuAD – it brings new knowledge.
It passed the second round of annotation – each question
and the answer were seen by at least two annotators.


### Supported Tasks and Leaderboards

- Question answering
- Document retrieval

### Languages

- Slovak

## Dataset Structure


#### squad_v2

- **Size of downloaded dataset files:** 44.34 MB
- **Size of the generated dataset:** 122.57 MB
- **Total amount of disk used:** 166.91 MB
- 
An example of 'validation' looks as follows.
```
This example was too long and was cropped:
{
    "answers": {
        "answer_start": [94, 87, 94, 94],
        "text": ["10th and 11th centuries", "in the 10th and 11th centuries", "10th and 11th centuries", "10th and 11th centuries"]
    },
    "context": "\"The Normans (Norman: Nourmands; French: Normands; Latin: Normanni) were the people who in the 10th and 11th centuries gave thei...",
    "id": "56ddde6b9a695914005b9629",
    "question": "When were the Normans in Normandy?",
    "title": "Normans"
}
```
### Data Fields
The data fields are the same among all splits.

#### squad_v2
- `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


|               | Train  |    Dev |  Translated |
| ------------- | -----: | -----: | -------: |
| Documents     | 8,377  | 940    |      442 |  
| Paragraphs    | 22,062 | 2,568  |   18,931 |  
| Questions     | 81,582 | 9,583  |  120,239 |  
| Answers       | 65,839 | 7,822  |   79,978 |  
| Unanswerable  | 15,877 | 1,784  |   40,261 |  


## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

- Deutsche Telekom Systems Solutions Slovakia
- Technical Univesity of Košice

### Licensing Information

Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)

### Citation Information

[More Information Needed]

### Contributions

Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.


task_categories:question-answering task_categories:text-retrieval task_ids:open-domain-qa task_ids:extractive-qa task_ids:document-retrieval annotations_creators:crowdsourced language_creators:crowdsourced language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:sk license:cc-by-sa-4.0 license:cc-by-4.0 wikipedia region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced", "found"], "language": ["sk"], "license": ["cc-by-sa-4.0", "cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["question-answering", "text-retrieval"], "task_ids": ["open-domain-qa", "extractive-qa", "document-retrieval"], "paperswithcode_id": "squad", "pretty_name": "skquad", "tags": ["wikipedia"], "train-eval-index": [{"col_mapping": {"answers": {"answer_start": "answer_start", "text": "text"}, "context": "context", "question": "question"}, "config": "squad_v2", "metrics": [{"name": "SQuAD v2", "type": "squad_v2"}], "splits": {"eval_split": "validation", "train_split": "train"}, "task": "question-answering", "task_id": "extractive_question_answering"}]}
TAGS
#task_categories-question-answering #task_categories-text-retrieval #task_ids-open-domain-qa #task_ids-extractive-qa #task_ids-document-retrieval #annotations_creators-crowdsourced #language_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Slovak #license-cc-by-sa-4.0 #license-cc-by-4.0 #wikipedia #region-us 

Dataset Card for [Dataset Name]
===============================


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


* 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:
* Repository:
* Paper:
* Leaderboard:
* Point of Contact:


### Dataset Summary


SK-QuAD is the first QA dataset for the Slovak language.
It is manually annotated, so it has no distortion caused by
machine translation. The dataset is thematically diverse – it
does not overlap with SQuAD – it brings new knowledge.
It passed the second round of annotation – each question
and the answer were seen by at least two annotators.


### Supported Tasks and Leaderboards


* Question answering
* Document retrieval


### Languages


* Slovak


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


#### squad\_v2


* Size of downloaded dataset files: 44.34 MB
* Size of the generated dataset: 122.57 MB
* Total amount of disk used: 166.91 MB
* 


An example of 'validation' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### squad\_v2


* '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


* Deutsche Telekom Systems Solutions Slovakia
* Technical Univesity of Košice


### Licensing Information


Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)


### Contributions


Thanks to @github-username for adding this dataset.



### Dataset Summary


SK-QuAD is the first QA dataset for the Slovak language.
It is manually annotated, so it has no distortion caused by
machine translation. The dataset is thematically diverse – it
does not overlap with SQuAD – it brings new knowledge.
It passed the second round of annotation – each question
and the answer were seen by at least two annotators. ### Supported Tasks and Leaderboards


* Question answering
* Document retrieval ### Languages


* Slovak


Dataset Structure
----------------- #### squad\_v2


* Size of downloaded dataset files: 44.34 MB
* Size of the generated dataset: 122.57 MB
* Total amount of disk used: 166.91 MB
* 


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


The data fields are the same among all splits. #### squad\_v2


* '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


* Deutsche Telekom Systems Solutions Slovakia
* Technical Univesity of Košice ### Licensing Information


Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) ### Contributions


Thanks to @github-username for adding this dataset.
TAGS
#task_categories-question-answering #task_categories-text-retrieval #task_ids-open-domain-qa #task_ids-extractive-qa #task_ids-document-retrieval #annotations_creators-crowdsourced #language_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-Slovak #license-cc-by-sa-4.0 #license-cc-by-4.0 #wikipedia #region-us 
 ### Dataset Summary


SK-QuAD is the first QA dataset for the Slovak language.
It is manually annotated, so it has no distortion caused by
machine translation. The dataset is thematically diverse – it
does not overlap with SQuAD – it brings new knowledge.
It passed the second round of annotation – each question
and the answer were seen by at least two annotators. ### Supported Tasks and Leaderboards


* Question answering
* Document retrieval ### Languages


* Slovak


Dataset Structure
----------------- #### squad\_v2


* Size of downloaded dataset files: 44.34 MB
* Size of the generated dataset: 122.57 MB
* Total amount of disk used: 166.91 MB
* 


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


The data fields are the same among all splits. #### squad\_v2


* '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


* Deutsche Telekom Systems Solutions Slovakia
* Technical Univesity of Košice ### Licensing Information


Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) ### Contributions


Thanks to @github-username for adding this dataset.