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Update README.md

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@@ -9,7 +9,7 @@ tags:
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  - "qa"
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  - "question answering"
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  datasets:
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- - "BSC-TeMU/SQAC"
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  metrics:
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  - "f1"
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@@ -21,12 +21,12 @@ RoBERTa-large-bne is a transformer-based masked language model for the Spanish l
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  Original pre-trained model can be found here: https://huggingface.co/BSC-TeMU/roberta-large-bne
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  ## Dataset
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- The dataset used is the [SQAC corpus](https://huggingface.co/datasets/BSC-TeMU/SQAC).
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  ## Evaluation and results
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  F1 Score: 0.7993 (average of 5 runs).
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- For evaluation details visit our [GitHub repository](https://github.com/PlanTL-SANIDAD/lm-spanish).
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  ## Citing
 
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  - "qa"
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  - "question answering"
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  datasets:
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+ - "PlanTL-GOB-ES/SQAC"
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  metrics:
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  - "f1"
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  Original pre-trained model can be found here: https://huggingface.co/BSC-TeMU/roberta-large-bne
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  ## Dataset
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+ The dataset used is the [SQAC corpus](https://huggingface.co/datasets/PlanTL-GOB-ES/SQAC).
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  ## Evaluation and results
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  F1 Score: 0.7993 (average of 5 runs).
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+ For evaluation details visit our [GitHub repository](https://github.com/PlanTL-GOB-ES/lm-spanish).
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  ## Citing