Create README.md

README.md

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+---
+language:
+- ca
+multilinguality:
+- monolingual
+pretty_name: synthetic_meteocat
+size_categories:
+- 10K<n<100K
+task_categories:
+- text-generation
+- token-classification
+task_ids:
+- named-entity-recognition
+---
+
+# Dataset Card for Meteocat
+
+## 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)
+- [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
+
+This is a synthetic dataset that contains examples, each of them, with the following fields:
+- Instructions like "El dissabte a la nit, quin temps farà a Mont-real?"
+- Context like "Day: dissabte | Location: Mont-real | mati: el cel estarà molt ennuvolat | tarda: plourà escadusserament | nit: el cel tendirà a estar cobert de núvols | temp: Lleugera pujada de les temperatures"
+- Response like "A la nit el cel estarà ennuvolat"
+
+### Supported Tasks and Leaderboards
+
+This dataset is mainly intended to train models for text-generation and named-entity-recognition.
+
+### Languages
+
+The dataset is in Catalan (`ca-CA`).
+
+## Dataset Structure
+
+The dataset consists of examples in a jsonl format with 3 fields each: instruction, context and response.
+
+### Data Instances
+
+{
+  "instruction": "Quin temps farà a la nit a Camarasa dijous?", 
+  "context": "Day: dijous | Location: Camarasa | mati: el cel anirà encapotant-se cada cop més | tarda: el sol anirà guanyant terreny als núvols | nit: cel clar | temp: Temperatures sense canvis", 
+  "response": "A la nit, cel ben clar"
+}
+
+### Data Fields
+- instruction: Weather-related question.
+- context: Information in the format "Day: [DAY] | Location: [LOCATION] | mati: [WEATHER FORECAST] | tarda: [WEATHER FORECAST] | nit: [WEATHER FORECAST]".
+- response: Whether forecast answering the question.
+
+### Data Splits
+
+* dev.json: 5563 examples
+* test.json: 5688 examples
+* train.json: 45606 examples
+
+
+## Additional Information
+
+### Dataset Curators
+
+Text Mining Unit (TeMU) at the Barcelona Supercomputing Center ([email protected])
+
+
+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
+
+???? [Creative Commons Attribution Non-commercial No-Derivatives 4.0 International](https://creativecommons.org/licenses/by-nc-nd/4.0/).
+
+### Contributions
+
+[N/A]