Update README.md

README.md

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 ---
-license: cc-by-nc-nd-4.0
+annotations_creators:
+- found
+language_creators:
+- found
+language:
+- ca
+license:
+- cc-by-nc-nd-4.0
+multilinguality:
+- monolingual
+pretty_name: GuiaCat
+size_categories:
+- ?
+task_categories:
+- text-classification
+task_ids:
+- sentiment-classification
+- sentiment-scoring
 ---
+
+# 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:** [[email protected]]([email protected])
+
+### 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](https://guiacat.cat).
+
+#### 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 ([email protected])
+
+
+### Licensing Information
+
+[Creative Commons Attribution Non-commercial No-Derivatives 4.0 International](https://creativecommons.org/licenses/by-nc-nd/4.0/).
+
+### 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](https://politiquesdigitals.gencat.cat/en/inici/index.html) within the framework of the [Aina project](https://politiquesdigitals.gencat.cat/ca/tic/aina-el-projecte-per-garantir-el-catala-en-lera-digital/).