annotations_creators:
- Barcelona Supercomputing Center
language_creators:
- Racó Català
- GuiaCat
language:
- ca
license:
- cc-by-nc-nd-4.0
multilinguality:
- monolingual
task_categories:
- text-classification
task_ids: []
pretty_name: CaSSA
dataset_info:
features:
- name: sent_id
dtype: string
- name: text
dtype: string
- name: opinions
list:
- name: Source
sequence:
sequence: string
- name: Target
sequence:
sequence: string
- name: Polar_expression
sequence:
sequence: string
- name: Polarity
dtype: string
- name: Intensity
dtype: string
splits:
- name: train
num_bytes: 4522809
num_examples: 6400
download_size: 2142890
dataset_size: 4522809
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Dataset Card for CaSSA, the Catalan Structured Sentiment Analysis dataset
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage Projecte AINA
- Repository HuggingFace
- Point of Contact langtech@bsc.es
Dataset Summary
The CaSSA dataset is a corpus of 6,400 reviews and forum messages annotated with polar expressions. Each piece of text is annotated with all the expressions of polarity that it contains. For each polar expression, we annotated the expression itself, the target (the object of the expression), and the source (the subject expressing the sentiment). 25,453 polar expressions have been annotated.
Supported Tasks and Leaderboards
This dataset can be used to train models for sentiment analysis.
Languages
The dataset is in Catalan (ca-ES).
Dataset Structure
Each instance in the dataset is a text. For each text, there can be 0 to unlimited polar expressions, which are contained in the "opinions" field. Each opinion contains a source, a target, a polar expression, a polarity value and an intensity value.
Data Instances
{
"sent_id": "2d6a3a0f-6686-4d8b-9c5f-51c424ff90be",
"text": "El seu menú de nit de cap de setmana es boníssim, plats fets amb criteri i que surten com un rellotge. Servei proper i amable. Per poc mes de 20 euros entre pisos i flautes menges com un rei.",
"opinions":
[
{
"Source": None,
"Target": [["Servei"], ["103:109"]],
"Polar_expression": [["proper"], ["110:116"]],
"Polarity": "Neutral",
"Intensity": "Standard"
},
{
"Source": None,
"Target": [["Servei"], ["103:109"]],
"Polar_expression": [["amable"], ["119:125"]],
"Polarity": "Positive",
"Intensity": "Standard"
},
{
"Source": None,
"Target": None,
"Polar_expression": [["menges com un rei"], ["173:190"]],
"Polarity": "Positive",
"Intensity": "Strong"
},
{
"Source": [["seu"], ["3:6"]],
"Target": [["menú de nit de cap de setmana"], ["7:36"]],
"Polar_expression": [["bon\u00edssim"], ["40:48"]],
"Polarity": "Positive",
"Intensity": "Strong"},
{
"Source": None,
"Target": [["plats"], ["50:55"]],
"Polar_expression": [["amb criteri"], ["61:72"]],
"Polarity": "Positive",
"Intensity": "Standard"
}
]
}
Data Splits
The dataset does not contain splits.
Dataset Creation
Curation Rationale
We created this corpus to contribute to the development of language models in Catalan, a low-resource language.
Source Data
The data was collected using the messages from the GuiaCat online guide and the forum Racó Català.
Initial Data Collection and Normalization
We selected all the restaurant reviews we had from GuiaCat, and used a LLM to select messages in Racó Català that were written in the style of reviews.
Who are the source language producers?
The source language producers are users of GuiaCat and Racó Català.
Annotations
Each opinion contains a source, a target, a polar expression, a polarity value and an intensity value. Source, Target, and Polar_expressions are spans, which are represented both by the string and by the position of the characters. Polarity and Intensity are labels, which can respectively be, Positive, Negative and Neutral, and Standard and Strong.
Annotation process
- The data was annotated by 2 annotators. In the cases in which they did not fully agree, a third annotator selected the preferred annotation.
Who are the annotators?
All the annotators are native speakers of Catalan.
Personal and Sensitive Information
The data from Racó Català was annonymised to remove user names and emails, which were changed to random Catalan names. The mentions to the forum itself have also been changed.
Considerations for Using the Data
Social Impact of Dataset
We hope this corpus contributes to the development of language models in Catalan, a low-resource language.
Discussion of Biases
We are aware that, since the data comes from online reviews and a public forum, this will contain biases, hate speech and toxic content. We have not applied any steps to reduce their impact.
Other Known Limitations
Additional Information
Dataset Curators
Language Technologies Unit (LangTech) at the Barcelona Supercomputing Center.
This work has been promoted and financed by the Generalitat de Catalunya through the Aina project.
Licensing Information
This work is licensed under a Creative Commons Attribution Non-commercial No-Derivatives 4.0 International License.
**The license has been updated to a more restrictive open license. Consequently, any downloads initiated after 12/03/2024 must adhere to the current licensing terms.
Citation Information
@inproceedings{gonzalez-agirre-etal-2024-building-data,
title = "Building a Data Infrastructure for a Mid-Resource Language: The Case of {C}atalan",
author = "Gonzalez-Agirre, Aitor and
Marimon, Montserrat and
Rodriguez-Penagos, Carlos and
Aula-Blasco, Javier and
Baucells, Irene and
Armentano-Oller, Carme and
Palomar-Giner, Jorge and
Kulebi, Baybars and
Villegas, Marta",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.231",
pages = "2556--2566",
}