Update README.md

README.md

@@ -87,6 +87,16 @@ It contains the following tasks and their related datasets:
     
 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 |
+
+### Results
+
 | Task        | NER (F1)      | POS (F1)   | STS (Pearson)   | TC (accuracy) | QA (ViquiQuAD) (F1/EM)  | QA (XQuAD) (F1/EM) | 
 | ------------|:-------------:| -----:|:------|:-------|:------|:----|
 | RoBERTa-base-ca-v2       | **89.80** | **99.10** | **80.00** | **83.40** | **88.00** | **71.50** |
@@ -95,8 +105,6 @@ Here are the train/dev/test splits of the datasets:
 | XLM-RoBERTa | 87.66 | 98.89 | 75.40 | 71.68 | 85.50/70.47 | 67.10/46.42 |
 | WikiBERT-ca | 77.66 | 97.60 | 77.18 | 73.22 | 85.45/70.75 | 65.21/36.60 |
 
-### Results
-
 ## Intended uses & limitations
 The model is ready-to-use only for masked language modelling to perform the Fill Mask task (try the inference API or read the next section)
 However, the is intended to be fine-tuned on non-generative downstream tasks such as Question Answering, Text Classification or Named Entity Recognition.