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dataset['train'].features['tags'].feature.names ``` ### Data Fields - `tokens`: a list of strings - `tags`: a list of integers - `ids`: a sentence id, as an integer ### Data Splits The data is split into a development, training, and test set. The final structure and split sizes are as follow: ``` DatasetDict({ dev: Dataset({ features: ['tokens', 'tags', 'ids'], num_rows: 1654 }) test: Dataset({ features: ['tokens', 'tags', 'ids'], num_rows: 1724 }) train: Dataset({ features: ['tokens', 'tags', 'ids'], num_rows: 14328 }) }) ``` ## Dataset Creation ### Curation Rationale SpanishSRL was built to test the verbal indexing method as introduced in the publication listed in the citation against an established baseline. ### Source Data #### Initial Data Collection and Normalization Data was collected from the [2009 CoNLL Shared Task](https://ufal.mff.cuni.cz/conll2009-st/). For more information, please refer to the publication listed in the citation. ## Additional Information ### Dataset Curators The dataset was created by Micaella Bruton, as part of her Master's thesis. ### Citation Information ``` @mastersthesis{bruton-galician-srl-23, author = {Bruton, Micaella}, title = {BERTie Bott's Every Flavor Labels: A Tasty Guide to Developing a Semantic Role Labeling Model for Galician}, school = {Uppsala University}, year = {2023}, type = {Master's thesis}, } ```