Datasets:
annotations_creators:
- found
language_creators:
- found
language:
- ca
license:
- cc-by-nc-nd-4.0
multilinguality:
- monolingual
pretty_name: GuiaCat
size_categories:
- 'null': null
task_categories:
- text-classification
task_ids:
- sentiment-classification
- sentiment-scoring
Dataset Card for GuiaCat
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Point of Contact: blanca.calvo@bsc.es
Dataset Summary
TODO
Supported Tasks and Leaderboards
This corpus is mainly intended for sentiment analysis.
Languages
The dataset is in Catalan (ca-CA).
Dataset Structure
The dataset consists of restaurant reviews labelled with 5 scores: service, food, price-quality, environment, and average. Reviews also have a sentiment label, derived from the average score. It's a csv file.
Data Instances
| service | food | price-quality | environment | avg | text | label | | ------- | ---- | ------------ | ------------ | ----- | | 8 | 8 | 8 | 8 | 8.0 | Bon Menjar i bon tracte en un restaurant que segú hi tornaràs un altre vegada. | molt bo | | 8 |7 |9|7|7.8|Fa anys que hi anem de tant en tant. Pel meu gust és dels millors que conec en qualitat-preu. És mes aviat econòmic amb qualitat. Són gent molt amable i trempada. Ideal anar-hi a dinar en tornar de fer alguna excursió a peu o en bicicleta. Hi ha força varietat de plats. M'agrada especialmente la seva escudella i el senglar durant la temporada de caça. | bo |
Data Fields
- service: a score from 0 to 10 grading the service
- food: a score from 0 to 10 grading the food
- price-quality: a score from 0 to 10 grading the relation between price and quality
- environment: a score from 0 to 10 grading the environment
- avg: average of all the scores
- text: the review
- label: it can be "molt bo", "bo", "regular", "dolent", "molt dolent"
Data Splits
- dev.csv: 500 examples
- test.csv: 500 examples
- train.csv: 4750 examples
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 of this dataset has been provided by GuiaCat.
Initial Data Collection and Normalization
NA
Who are the source language producers?
The language producers were the users from Guiacat.
Annotations
The annotations are automatically derived from the scores that the users provided while reviewing the restaurants.
Annotation process
The mapping between average scores and labels is:
- Higher than 8: molt bo
- Between 8 and 6: bo
- Between 6 and 4: regular
- Between 4 and 2: dolent
- Less than 2: molt dolent
Who are the annotators?
Users
Personal and Sensitive Information
No personal information included, although it could contain hate or abusive language.
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 this data might contain biases. We have not applied any steps to reduce their impact.
Other Known Limitations
[N/A]
Additional Information
Dataset Curators
Blanca Calvo Figueras, Barcelona Supercomputing Center (blanca.calvo@bsc.es)
Licensing Information
Creative Commons Attribution Non-commercial No-Derivatives 4.0 International.
Citation Information
Contributions
We want to thank Guiacat for providing this data.
Funding
This work was funded by the Catalan Ministry of the Vice-presidency, Digital Policies and Territory within the framework of the Aina project.