Update README.md

README.md

@@ -75,8 +75,8 @@ The currently annotated questions concern posts with the *python* tag. The quest
 
 Previous research looked into mining natural language-code pairs from stackoverflow. 
 Two notable works yielded the [StaQC](https://arxiv.org/abs/1803.09371) and [ConaLA](https://arxiv.org/abs/1803.09371) datasets.
-Parts of the dataset used a subset of the manual annotations provided by the authors of the papers (available at (staqc)[https://huggingface.co/datasets/koutch/staqc], 
-and (conala)[https://huggingface.co/datasets/neulab/conala]). The questions were annotated as belonging to the "how to do it" category.
+Parts of the dataset used a subset of the manual annotations provided by the authors of the papers (available at [staqc](https://huggingface.co/datasets/koutch/staqc), 
+and [conala](https://huggingface.co/datasets/neulab/conala]). The questions were annotated as belonging to the "how to do it" category.
 
 To ease the annotation procedure, we used the [argilla platform](https://docs.argilla.io/en/latest/index.html) 
 and multiple iterations of [few-shot training with a SetFit model](https://docs.argilla.io/en/latest/tutorials/notebooks/labelling-textclassification-setfit-zeroshot.html#%F0%9F%A6%BE-Train-a-few-shot-SetFit-model).