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--- |
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annotations_creators: |
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- found |
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language_creators: |
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- found |
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language: |
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- ca |
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license: |
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- cc-by-nc-nd-4.0 |
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multilinguality: |
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- monolingual |
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pretty_name: GuiaCat |
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task_categories: |
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- text-classification |
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task_ids: |
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- sentiment-classification |
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- sentiment-scoring |
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--- |
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# Dataset Card for GuiaCat |
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage** [Projecte AINA](https://projecteaina.cat/tech/) |
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- **Repository** [HuggingFace](https://huggingface.co/projecte-aina) |
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- **Point of Contact** langtech@bsc.es |
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### Dataset Summary |
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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. |
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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/). |
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### Supported Tasks and Leaderboards |
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This corpus is mainly intended for sentiment analysis. |
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### Languages |
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The dataset is in Catalan (`ca-ES`). |
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## Dataset Structure |
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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. |
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### Data Instances |
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``` |
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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 |
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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 |
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``` |
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### Data Fields |
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- service: a score from 0 to 10 grading the service |
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- food: a score from 0 to 10 grading the food |
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- price-quality: a score from 0 to 10 grading the relation between price and quality |
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- environment: a score from 0 to 10 grading the environment |
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- avg: average of all the scores |
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- text: the review |
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- label: it can be "molt bo", "bo", "regular", "dolent", "molt dolent" |
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### Data Splits |
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* dev.csv: 500 examples |
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* test.csv: 500 examples |
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* train.csv: 4,750 examples |
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## Dataset Creation |
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### Curation Rationale |
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We created this corpus to contribute to the development of language models in Catalan, a low-resource language. |
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### Source Data |
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The data of this dataset has been provided by [GuiaCat](https://guiacat.cat). |
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#### Initial Data Collection and Normalization |
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[N/A] |
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#### Who are the source language producers? |
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The language producers were the users from GuiaCat. |
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### Annotations |
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The annotations are automatically derived from the scores that the users provided while reviewing the restaurants. |
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#### Annotation process |
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The mapping between average scores and labels is: |
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- Higher than 8: molt bo |
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- Between 8 and 6: bo |
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- Between 6 and 4: regular |
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- Between 4 and 2: dolent |
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- Less than 2: molt dolent |
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#### Who are the annotators? |
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Users |
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### Personal and Sensitive Information |
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No personal information included, although it could contain hate or abusive language. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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We hope this corpus contributes to the development of language models in Catalan, a low-resource language. |
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### Discussion of Biases |
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We are aware that this data might contain biases. We have not applied any steps to reduce their impact. |
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### Other Known Limitations |
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[N/A] |
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## Additional Information |
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### Dataset Curators |
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Text Mining Unit (TeMU) at the Barcelona Supercomputing Center (bsc-temu@bsc.es). |
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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). |
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### Licensing Information |
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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/). |
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### Citation Information |
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``` |
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``` |
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### Contributions |
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We want to thank GuiaCat for providing this data. |
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