Update README.md

README.md

@@ -20,7 +20,7 @@ In all cases, this model was finetuned for specific downstream tasks.
 
 ## NER
 
-Mean F1 scores were used to evaluate performance.
+Mean F1 scores were used to evaluate performance. Datasets used: [hr500k](https://huggingface.co/datasets/classla/hr500k), [ReLDI-sr](https://huggingface.co/datasets/classla/reldi_sr), [ReLDI-hr](https://huggingface.co/datasets/classla/reldi_hr), and [SETimes.SR](https://huggingface.co/datasets/classla/setimes_sr). 
 
 | system                                                                 | dataset | F1 score |
 |:-----------------------------------------------------------------------|:--------|---------:|
@@ -77,7 +77,6 @@ The procedure is explained in greater detail in the dedicated [benchmarking repo
 
 ## COPA
 
-Two South Slavic COPA datasets were used, [COPA-HR](https://huggingface.co/datasets/classla/copa_hr) and [COPA-SR_lat](https://huggingface.co/datasets/classla/COPA-SR_lat).
 
 | system                                                                 | dataset | Accuracy score |
 |:-----------------------------------------------------------------------|:--------|---------------:|
@@ -98,6 +97,8 @@ Two South Slavic COPA datasets were used, [COPA-HR](https://huggingface.co/datas
 | [XLM-Roberta-Base](https://huggingface.co/xlm-roberta-base)            | Copa-HR |          0.585 |
 | [XLM-Roberta-Large](https://huggingface.co/xlm-roberta-large)          | Copa-HR |          0.571 |
 
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 # Citation
 (to be added soon)
 # Authors