.YKaFjqGxWUk)**: extracted named entities from the original [Ancora](https://doi.org/10.5281/zenodo.4762030) version,     filtering out some unconventional ones, like book titles, and transcribed them into a standard CONLL-IOB format   3. Text Classification (TC)           **[TeCla](https://doi.org/10.5281/zenodo.4627197)**: consisting of 137k news pieces from the Catalan News Agency ([ACN](https://www.acn.cat/)) corpus   4. Semantic Textual Similarity (STS)          **[Catalan semantic textual similarity](https://doi.org/10.5281/zenodo.4529183)**: consisting of more than 3000 sentence pairs, annotated with the semantic similarity between them,      scraped from the [Catalan Textual Corpus](https://doi.org/10.5281/zenodo.4519349)   5. Question Answering (QA):          **[ViquiQuAD](https://doi.org/10.5281/zenodo.4562344)**: consisting of more than 15,000 questions outsourced from Catalan Wikipedia randomly chosen from a set of 596 articles that were originally written in Catalan.          **[XQuAD](https://doi.org/10.5281/zenodo.4526223)**: the Catalan translation of XQuAD, a multilingual collection of manual translations of 1,190 question-answer pairs from English Wikipedia used only as a _test set_      Here are the train/dev/test splits of the datasets:  | Task (Dataset) | Total | Train | Dev  | Test | |:--|:--|:--|:--|:--| | NER (Ancora)  |13,581 | 10,628 | 1,427 | 1,526 | | POS (Ancora)| 16,678 | 13,123 | 1,709 | 1,846 | | STS         | 3,073 | 2,073 | 500 | 500 | | TC (TeCla) |  137,775 | 110,203 | 13,786 |  13,786| | QA (ViquiQuAD) | 14,239  | 11,255  | 1,492  | 1,429 |     _The fine-tuning on downstream tasks have been performed with the HuggingFace [**Transformers**](https://github.com/huggingface/transformers) library_  