Datasets:
Modalities:
Text
Formats:
json
Sub-tasks:
named-entity-recognition
Languages:
Catalan
Size:
10K - 100K
| 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 | |
| - [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] |