annotations_creators:expert-generated language_creators:found multilinguality:monolingual language:ca license:mit region:us
---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- ca
license:
- mit
multilinguality:
- monolingual
pretty_name: ccma_meteo_instruct
size_categories:
- unknown
source_datasets: []
task_categories: []
task_ids: []
---

# Dataset Card for CEIL
 
## Dataset Description

- **Website:** https://aina.bsc.es
- **Point of Contact:** [Carlos Rodríguez-Penagos](carlos.rodriguez1@bsc.es)

### Dataset Summary

NERC for understanding meteorological queries for an AI assistant 

This dataset was developed by [BSC LangTech Unit](https://langtech.bsc.es/) as part of the [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina/), to enrich the [Catalan Language Understanding Benchmark (CLUB)](https://club.aina.bsc.es/).



### Supported Tasks and Leaderboards

Named Entities Recognition, Language Model

### Languages

The dataset is in Catalan (`ca-CA`).

## Dataset Structure

### Data Instances

Three two-column files, one for each split. 

<pre>
Com	O
serà	O
a	O
l	O
mati	interval
el	O
temps	O
a	O
O	location
Grove	location
el	O
dijous	day
?	O
</pre>

### Data Fields

Every file has two columns, with the word form or punctuation symbol in the first one and the corresponding IOB tag in the second one.

### Data Splits

85/15 Train and development sets, balanced for all NERC tags.


## Dataset Creation

### Curation Rationale

We created this corpus to contribute to the development of language models in Catalan.

### Source Data

Synthetic data

#### Initial Data Collection and Normalization

The word tokenization used to convert offset annotations into CONLL files was done using spacy

#### Who are the source language producers?



### Annotations

#### Annotation process

We adapted the NER labels from  to a token-per-line, multi-column format. 

#### Who are the annotators?

Original annotators from 

### Personal and Sensitive Information

No personal or sensitive information included.

## 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

[N/A]

### Other Known Limitations

[N/A]

## Additional Information
### Dataset Curators



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/en/inici/index.html) within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina/).

### Licensing information

This work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Attribution 4.0 International License</a>.

### Citation Information

```


```





### Contributions

[N/A]
