metadata

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
Dataset Description
Dataset Structure
Dataset Creation
Considerations for Using the Data
Additional Information

Dataset Description

Point of Contact: blanca.calvo@bsc.es

Dataset Summary

GuiaCat is a dataset consisting of 5.750 restaurant reviews in Catalan, with 5 associated scores and a label of sentiment. The data was provided by GuiaCat and curated by the BSC.

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, all stored as a csv file.

Data Instances

7,7,7,7,7.0,"Aquest restaurant té una llarga història. Ara han tornat a canviar d'amos i aquest canvi s'ha vist molt repercutit en la carta, preus, servei, etc. Hi ha molta varietat de menjar, i tot boníssim, amb especialitats molt ben trobades. El servei molt càlid i agradable, dóna gust que et serveixin així. I la decoració molt agradable també, bastant curiosa. En fi, pel meu gust, un bon restaurant i bé de preu.",bo

8,9,8,7,8.0,"Molt recomanable en tots els sentits. El servei és molt atent, pulcre i gens agobiant; alhora els plats també presenten un aspecte acurat, cosa que fa, juntament amb l'ambient, que t'oblidis de que, malauradament, està situat pròxim a l'autopista.Com deia, l'ambient és molt acollidor, té un menjador principal molt elegant, perfecte per quedar bé amb tothom!Tot i això, destacar la bona calitat / preu, ja que aquest restaurant té una carta molt extensa en totes les branques i completa, tant de menjar com de vins. Pel qui entengui de vins, podriem dir que tot i tenir una carta molt rica, es recolza una mica en els clàssics.",molt 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: 4,750 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

[N/A]

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