Datasets:
language:
- ca
multilinguality:
- monolingual
pretty_name: synthetic_meteocat
size_categories:
- 10K<n<100K
task_categories:
- text-generation
- token-classification
- question-answering
task_ids:
- named-entity-recognition
Dataset Card for Meteocat
Table of Contents
Dataset Description
- Point of Contact: [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 within the framework of Projecte AINA.
Licensing Information
???? Creative Commons Attribution Non-commercial No-Derivatives 4.0 International.
Contributions
[N/A]