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README.md

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 The **roberta-base-ca-cased-ner** is a Named Entity Recognition (NER) model for the Catalan language fine-tuned from the [BERTa](https://huggingface.co/PlanTL-GOB-ES/roberta-base-ca) model, a [RoBERTa](https://arxiv.org/abs/1907.11692) base model pre-trained on a medium-size corpus collected from publicly available corpora and crawlers (check the BERTa model card for more details).
 
 ## Datasets
-We used the NER dataset in Catalan called [Ancora-NER](https://huggingface.co/datasets/projecte-aina/ancora-ca-ner) for training and evaluation.
+We used the NER dataset in Catalan called [Ancora-ca-ner](https://huggingface.co/datasets/projecte-aina/ancora-ca-ner) for training and evaluation.
 
 ## Evaluation and results
 Below, the evaluation result on the Ancora-NER test set:
-| Task        | TECA (accuracy) | 
+
+| Task        | Ancora-ca-ner (f1) | 
 | ------------|:----|
 | BERTa       | **89.63** |
+
 For more details, check the fine-tuning and evaluation scripts in the official [GitHub repository](https://github.com/projecte-aina/berta).
 ## Citing 
 If you use any of these resources (datasets or models) in your work, please cite our latest paper: