task_categories:text-classification annotations_creators:expert-generated language_creators:crowdsourced multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:ca language:es license:cc-by-nc-sa-4.0 stance-detection region:us
This dataset contains two corpora in Spanish and Catalan that consist of annotated Twitter messages for automatic stance detection. The data was collected over 12 days during February and March of 2019 from tweets posted in Barcelona, and during September of 2018 from tweets posted in the town of Terrassa, Catalonia.

Each corpus is annotated with three classes: AGAINST, FAVOR and NEUTRAL, which express the stance towards the target - independence of Catalonia.
@inproceedings{zotova-etal-2020-multilingual,
    title = "Multilingual Stance Detection in Tweets: The {C}atalonia Independence Corpus",
    author = "Zotova, Elena  and
      Agerri, Rodrigo  and
      Nunez, Manuel  and
      Rigau, German",
    booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://www.aclweb.org/anthology/2020.lrec-1.171",
    pages = "1368--1375",
    abstract = "Stance detection aims to determine the attitude of a given text with respect to a specific topic or claim. While stance detection has been fairly well researched in the last years, most the work has been focused on English. This is mainly due to the relative lack of annotated data in other languages. The TW-10 referendum Dataset released at IberEval 2018 is a previous effort to provide multilingual stance-annotated data in Catalan and Spanish. Unfortunately, the TW-10 Catalan subset is extremely imbalanced. This paper addresses these issues by presenting a new multilingual dataset for stance detection in Twitter for the Catalan and Spanish languages, with the aim of facilitating research on stance detection in multilingual and cross-lingual settings. The dataset is annotated with stance towards one topic, namely, the ndependence of Catalonia. We also provide a semi-automatic method to annotate the dataset based on a categorization of Twitter users. We experiment on the new corpus with a number of supervised approaches, including linear classifiers and deep learning methods. Comparison of our new corpus with the with the TW-1O dataset shows both the benefits and potential of a well balanced corpus for multilingual and cross-lingual research on stance detection. Finally, we establish new state-of-the-art results on the TW-10 dataset, both for Catalan and Spanish.",
    language = "English",
    ISBN = "979-10-95546-34-4",
}
---
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
language:
- ca
- es
license:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids: []
paperswithcode_id: cic
pretty_name: Catalonia Independence Corpus
tags:
- stance-detection
dataset_info:
- config_name: catalan
  features:
  - name: id_str
    dtype: string
  - name: TWEET
    dtype: string
  - name: LABEL
    dtype:
      class_label:
        names:
          '0': AGAINST
          '1': FAVOR
          '2': NEUTRAL
  splits:
  - name: train
    num_bytes: 1406250
    num_examples: 6028
  - name: test
    num_bytes: 469204
    num_examples: 2010
  - name: validation
    num_bytes: 473393
    num_examples: 2010
  download_size: 995415
  dataset_size: 2348847
- config_name: spanish
  features:
  - name: id_str
    dtype: string
  - name: TWEET
    dtype: string
  - name: LABEL
    dtype:
      class_label:
        names:
          '0': AGAINST
          '1': FAVOR
          '2': NEUTRAL
  splits:
  - name: train
    num_bytes: 1507388
    num_examples: 6046
  - name: test
    num_bytes: 501783
    num_examples: 2016
  - name: validation
    num_bytes: 505092
    num_examples: 2015
  download_size: 1070281
  dataset_size: 2514263
config_names:
- catalan
- spanish
---

# Dataset Card for Catalonia Independence Corpus

## 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/ixa-ehu/catalonia-independence-corpus
- **Repository:** https://github.com/ixa-ehu/catalonia-independence-corpus
- **Paper:** [Multilingual Stance Detection: The Catalonia Independence Corpus](https://www.aclweb.org/anthology/2020.lrec-1.171/)
- **Leaderboard:**
- **Point of Contact:** [Rodrigo Agerri](https://github.com/ragerri) (corpus creator)

### Dataset Summary

This dataset contains two corpora in Spanish and Catalan that consist of annotated Twitter messages for automatic stance detection. The data was collected over 12 days during February and March of 2019 from tweets posted in Barcelona, and during September of 2018 from tweets posted in the town of Terrassa, Catalonia.

Each corpus is annotated with three classes: AGAINST, FAVOR and NEUTRAL, which express the stance towards the target - independence of Catalonia.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

Spanish and Catalan

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## 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

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

Thanks to [@lewtun](https://github.com/lewtun) for adding this dataset.