annotations_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:unknown language:ca license:mit region:us
CCMA_METEO_INSTRUCT.
                  This is a dataset for complex Named Eentity Recognition (NER) created by the AINA project in the BSC for 
                  Machine Learning and Language Model evaluation purposes.
                  
                  CCMA corpus is NOT LICENSABLE.
                  This dataset was developed by BSC as part of the AINA project, and to enrich the Catalan Language Understanding Benchmark (CLUB).
---
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

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### Contributions

[N/A]
