Update README.md

README.md

@@ -129,6 +129,10 @@ It contains the following tasks and their related datasets:
      
     **[TeCla](https://huggingface.co/datasets/projecte-aina/tecla)**: consisting of 137k news pieces from the Catalan News Agency ([ACN](https://www.acn.cat/)) corpus, with 30 labels
 
+ 3. Text Classification (TC)
+     
+    **[TeCla](https://huggingface.co/datasets/projecte-aina/tecla)**: consisting of 137k news pieces from the Catalan News Agency ([ACN](https://www.acn.cat/)) corpus, with 30 labels
+
  4. Semantic Textual Similarity (STS)
     
     **[Catalan semantic textual similarity](https://huggingface.co/datasets/projecte-aina/sts-ca)**: consisting of more than 3000 sentence pairs, annotated with the semantic similarity between them, 
@@ -136,10 +140,10 @@ It contains the following tasks and their related datasets:
 
  5. Question Answering (QA):
     
-    **[ViquiQuAD](https://huggingface.co/datasets/projecte-aina/viquiquad)**: 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.
-    
     **[VilaQuAD](https://huggingface.co/datasets/projecte-aina/vilaquad)**: contains 6,282 pairs of questions and answers, outsourced from 2095 Catalan language articles from VilaWeb newswire text.
     
+    **[ViquiQuAD](https://huggingface.co/datasets/projecte-aina/viquiquad)**: 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.
+   
     **[CatalanQA](https://huggingface.co/datasets/projecte-aina/catalanqa)**: an aggregation of 2 previous datasets (VilaQuAD and ViquiQuAD), 21,427 pairs of Q/A balanced by type of question, containing one question and one answer per context, although the contexts can repeat multiple times.
     
     **[XQuAD](https://huggingface.co/datasets/projecte-aina/xquad-ca)**: 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_
@@ -152,8 +156,8 @@ Here are the train/dev/test splits of the datasets:
 | 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 |
 | QA (VilaQuAD) | 6,282  | 3,882  | 1,200  | 1,200 |
+| QA (ViquiQuAD) | 14,239  | 11,255  | 1,492  | 1,429 |
 | QA (CatalanQA) | 21,427  | 17,135  | 2,157  | 2,135 |
 
 ### Evaluation Results