
# Dataset Card for GuiaCat

## Table of Contents
- [Table of Contents](#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)
  - [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

- **Point of Contact:** [blanca.calvo@bsc.es](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](https://guiacat.cat) and curated by the BSC. 

This work is licensed under a [Creative Commons Attribution Non-commercial No-Derivatives 4.0 International License](https://creativecommons.org/licenses/by-nc-nd/4.0/).

### Supported Tasks and Leaderboards

This corpus is mainly intended for sentiment analysis.

### Languages

The dataset is in Catalan (`ca-ES`).

## 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](https://guiacat.cat).

#### 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

[N/A]

## Additional Information

### Dataset Curators

Text Mining Unit (TeMU) at the Barcelona Supercomputing Center (bsc-temu@bsc.es).

This work was funded by the [Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya](https://politiquesdigitals.gencat.cat/ca/inici/index.html#googtrans(ca|en) within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).


### Licensing Information

This work is licensed under a [Creative Commons Attribution Non-commercial No-Derivatives 4.0 International License](https://creativecommons.org/licenses/by-nc-nd/4.0/).

### Citation Information

```
```

### Contributions

We want to thank GuiaCat for providing this data.






task_categories:text-classification task_ids:sentiment-classification task_ids:sentiment-scoring annotations_creators:found language_creators:found multilinguality:monolingual language:ca license:cc-by-nc-nd-4.0 region:us
{"annotations_creators": ["found"], "language_creators": ["found"], "language": ["ca"], "license": ["cc-by-nc-nd-4.0"], "multilinguality": ["monolingual"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification", "sentiment-scoring"], "pretty_name": "GuiaCat"}
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #task_ids-sentiment-scoring #annotations_creators-found #language_creators-found #multilinguality-monolingual #language-Catalan #license-cc-by-nc-nd-4.0 #region-us 


# Dataset Card for GuiaCat

## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - 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

- Point of Contact: URL@URL

### 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. 

This work is licensed under a Creative Commons Attribution Non-commercial No-Derivatives 4.0 International License.

### Supported Tasks and Leaderboards

This corpus is mainly intended for sentiment analysis.

### Languages

The dataset is in Catalan ('ca-ES').

## 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



### 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

* URL: 500 examples
* URL: 500 examples
* URL: 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

[N/A]

## Additional Information

### Dataset Curators

Text Mining Unit (TeMU) at the Barcelona Supercomputing Center (bsc-temu@URL).

This work was funded by the Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya within the framework of Projecte AINA.


### Licensing Information

This work is licensed under a Creative Commons Attribution Non-commercial No-Derivatives 4.0 International License.





### Contributions

We want to thank GuiaCat for providing this data.






# Dataset Card for GuiaCat ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - 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

- Point of Contact: URL@URL ### 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. 

This work is licensed under a Creative Commons Attribution Non-commercial No-Derivatives 4.0 International License. ### Supported Tasks and Leaderboards

This corpus is mainly intended for sentiment analysis. ### Languages

The dataset is in Catalan ('ca-ES'). ## 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 ### 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

* URL: 500 examples
* URL: 500 examples
* URL: 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

[N/A] ## Additional Information ### Dataset Curators

Text Mining Unit (TeMU) at the Barcelona Supercomputing Center (bsc-temu@URL).

This work was funded by the Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya within the framework of Projecte AINA. ### Licensing Information

This work is licensed under a Creative Commons Attribution Non-commercial No-Derivatives 4.0 International License. ### Contributions

We want to thank GuiaCat for providing this data.
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #task_ids-sentiment-scoring #annotations_creators-found #language_creators-found #multilinguality-monolingual #language-Catalan #license-cc-by-nc-nd-4.0 #region-us 
 # Dataset Card for GuiaCat ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - 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

- Point of Contact: URL@URL ### 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. 

This work is licensed under a Creative Commons Attribution Non-commercial No-Derivatives 4.0 International License. ### Supported Tasks and Leaderboards

This corpus is mainly intended for sentiment analysis. ### Languages

The dataset is in Catalan ('ca-ES'). ## 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 ### 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

* URL: 500 examples
* URL: 500 examples
* URL: 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

[N/A] ## Additional Information ### Dataset Curators

Text Mining Unit (TeMU) at the Barcelona Supercomputing Center (bsc-temu@URL).

This work was funded by the Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya within the framework of Projecte AINA. ### Licensing Information

This work is licensed under a Creative Commons Attribution Non-commercial No-Derivatives 4.0 International License. ### Contributions

We want to thank GuiaCat for providing this data.
passage: TAGS
#task_categories-text-classification #task_ids-sentiment-classification #task_ids-sentiment-scoring #annotations_creators-found #language_creators-found #multilinguality-monolingual #language-Catalan #license-cc-by-nc-nd-4.0 #region-us 
# Dataset Card for GuiaCat## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - 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

- Point of Contact: URL@URL### 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. 

This work is licensed under a Creative Commons Attribution Non-commercial No-Derivatives 4.0 International License.### Supported Tasks and Leaderboards

This corpus is mainly intended for sentiment analysis.### Languages

The dataset is in Catalan ('ca-ES').## 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### 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"