
# Dataset Card for "x_stance"

## 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:** https://github.com/ZurichNLP/xstance
- **Paper:** [X-Stance: A Multilingual Multi-Target Dataset for Stance Detection](https://arxiv.org/abs/2003.08385)
- **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:** 6.41 MB
- **Size of the generated dataset:** 25.73 MB
- **Total amount of disk used:** 32.14 MB

### Dataset Summary

The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions.

It can be used to train and evaluate stance detection systems.

### Supported Tasks and Leaderboards

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Languages

The comments are partly German, partly French and Italian. The questions are available in all the three languages plus English. 

## Dataset Structure

### Data Instances

#### default

- **Size of downloaded dataset files:** 6.41 MB
- **Size of the generated dataset:** 25.73 MB
- **Total amount of disk used:** 32.14 MB

An example of 'train' looks as follows.
```
{
    "author": "f27b54a137b4",
    "comment": "Das Arbeitsgesetz regelt die Arbeitszeiten und schützt den Arbeitnehmer. Es macht doch Sinn, dass wenn eine Nachfrage besteht, die Läden öffnen dürfen und wenn es keine Nachfrage gibt, diese geschlossen bleiben.",
    "id": 10045,
    "label": "FAVOR",
    "language": "de",
    "numerical_label": 100,
    "question": "Sind Sie für eine vollständige Liberalisierung der Geschäftsöffnungszeiten (Geschäfte können die Öffnungszeiten nach freiem Ermessen festlegen)?",
    "question_id": 739,
    "topic": "Economy"
}
```

### Data Fields

The data fields are the same among all splits.

#### default
- `question`: a `string` feature.
- `id`: a `int32` feature.
- `question_id`: a `int32` feature.
- `language`: a `string` feature.
- `comment`: a `string` feature.
- `label`: a `string` feature.
- `numerical_label`: a `int32` feature.
- `author`: a `string` feature.
- `topic`: a `string` feature.

### Data Splits

| name  |train|validation|test |
|-------|----:|---------:|----:|
|default|45640|      3926|17705|

## 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

The data have been extracted from the Swiss voting advice platform Smartvote.ch.

#### 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 dataset is licensed under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/).

### Citation Information

```
@inproceedings{vamvas2020xstance,
    author    = "Vamvas, Jannis and Sennrich, Rico",
    title     = "{X-Stance}: A Multilingual Multi-Target Dataset for Stance Detection",
    booktitle = "Proceedings of the 5th Swiss Text Analytics Conference (SwissText) \& 16th Conference on Natural Language Processing (KONVENS)",
    address   = "Zurich, Switzerland",
    year      = "2020",
    month     = "jun",
    url       = "http://ceur-ws.org/Vol-2624/paper9.pdf"
}
```


### Contributions

Thanks to [@lewtun](https://github.com/lewtun), [@mariamabarham](https://github.com/mariamabarham), [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@jvamvas](https://github.com/jvamvas) for adding this dataset.
task_categories:text-classification annotations_creators:machine-generated language_creators:found multilinguality:multilingual size_categories:10K<n<100K source_datasets:original language:de language:en language:fr language:it license:cc-by-nc-4.0 stance-detection arxiv:2003.08385 region:us
{"annotations_creators": ["machine-generated"], "language_creators": ["found"], "language": ["de", "en", "fr", "it"], "license": ["cc-by-nc-4.0"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": [], "paperswithcode_id": "x-stance", "pretty_name": "x-stance", "tags": ["stance-detection"], "dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "id", "dtype": "int32"}, {"name": "question_id", "dtype": "int32"}, {"name": "language", "dtype": "string"}, {"name": "comment", "dtype": "string"}, {"name": "label", "dtype": "string"}, {"name": "numerical_label", "dtype": "int32"}, {"name": "author", "dtype": "string"}, {"name": "topic", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17619123, "num_examples": 45640}, {"name": "test", "num_bytes": 6607134, "num_examples": 17705}, {"name": "validation", "num_bytes": 1505979, "num_examples": 3926}], "download_size": 6410801, "dataset_size": 25732236}}
TAGS
#task_categories-text-classification #annotations_creators-machine-generated #language_creators-found #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-original #language-German #language-English #language-French #language-Italian #license-cc-by-nc-4.0 #stance-detection #arxiv-2003.08385 #region-us 

Dataset Card for "x\_stance"
============================


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: URL
* Paper: X-Stance: A Multilingual Multi-Target Dataset for Stance Detection
* Point of Contact:
* Size of downloaded dataset files: 6.41 MB
* Size of the generated dataset: 25.73 MB
* Total amount of disk used: 32.14 MB


### Dataset Summary


The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions.


It can be used to train and evaluate stance detection systems.


### Supported Tasks and Leaderboards


### Languages


The comments are partly German, partly French and Italian. The questions are available in all the three languages plus English.


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


### Data Instances


#### default


* Size of downloaded dataset files: 6.41 MB
* Size of the generated dataset: 25.73 MB
* Total amount of disk used: 32.14 MB


An example of 'train' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### default


* 'question': a 'string' feature.
* 'id': a 'int32' feature.
* 'question\_id': a 'int32' feature.
* 'language': a 'string' feature.
* 'comment': a 'string' feature.
* 'label': a 'string' feature.
* 'numerical\_label': a 'int32' feature.
* 'author': a 'string' feature.
* 'topic': a 'string' feature.


### Data Splits



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


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


The data have been extracted from the Swiss voting advice platform URL.


#### 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 dataset is licensed under CC BY-NC 4.0.


### Contributions


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



### Dataset Summary


The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions.


It can be used to train and evaluate stance detection systems. ### Supported Tasks and Leaderboards ### Languages


The comments are partly German, partly French and Italian. The questions are available in all the three languages plus English.


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


* Size of downloaded dataset files: 6.41 MB
* Size of the generated dataset: 25.73 MB
* Total amount of disk used: 32.14 MB


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


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


* 'question': a 'string' feature.
* 'id': a 'int32' feature.
* 'question\_id': a 'int32' feature.
* 'language': a 'string' feature.
* 'comment': a 'string' feature.
* 'label': a 'string' feature.
* 'numerical\_label': a 'int32' feature.
* 'author': a 'string' feature.
* 'topic': a 'string' feature. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization


The data have been extracted from the Swiss voting advice platform URL. #### 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 dataset is licensed under CC BY-NC 4.0. ### Contributions


Thanks to @lewtun, @mariamabarham, @thomwolf, @patrickvonplaten, @jvamvas for adding this dataset.
TAGS
#task_categories-text-classification #annotations_creators-machine-generated #language_creators-found #multilinguality-multilingual #size_categories-10K<n<100K #source_datasets-original #language-German #language-English #language-French #language-Italian #license-cc-by-nc-4.0 #stance-detection #arxiv-2003.08385 #region-us 
 ### Dataset Summary


The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions.


It can be used to train and evaluate stance detection systems. ### Supported Tasks and Leaderboards ### Languages


The comments are partly German, partly French and Italian. The questions are available in all the three languages plus English.


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


* Size of downloaded dataset files: 6.41 MB
* Size of the generated dataset: 25.73 MB
* Total amount of disk used: 32.14 MB


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


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


* 'question': a 'string' feature.
* 'id': a 'int32' feature.
* 'question\_id': a 'int32' feature.
* 'language': a 'string' feature.
* 'comment': a 'string' feature.
* 'label': a 'string' feature.
* 'numerical\_label': a 'int32' feature.
* 'author': a 'string' feature.
* 'topic': a 'string' feature. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization


The data have been extracted from the Swiss voting advice platform URL. #### 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 dataset is licensed under CC BY-NC 4.0. ### Contributions


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