[Doc] Minor URL fixes in PyTorch Text Classification Readme (#21511)

docs: fix some references in PyTorch text classification readme

examples/pytorch/text-classification/README.md

@@ -173,9 +173,9 @@ Note that this library is in alpha release so your feedback is more than welcome
 
 ## XNLI
 
-Based on the script [`run_xnli.py`](https://github.com/huggingface/transformers/examples/pytorch/text-classification/run_xnli.py).
+Based on the script [`run_xnli.py`](https://github.com/huggingface/transformers/blob/main/examples/pytorch/text-classification/run_xnli.py).
 
-[XNLI](https://www.nyu.edu/projects/bowman/xnli/) is a crowd-sourced dataset based on [MultiNLI](http://www.nyu.edu/projects/bowman/multinli/). It is an evaluation benchmark for cross-lingual text representations. Pairs of text are labeled with textual entailment annotations for 15 different languages (including both high-resource language such as English and low-resource languages such as Swahili).
+[XNLI](https://cims.nyu.edu/~sbowman/xnli/) is a crowd-sourced dataset based on [MultiNLI](https://cims.nyu.edu/~sbowman/multinli/). It is an evaluation benchmark for cross-lingual text representations. Pairs of text are labeled with textual entailment annotations for 15 different languages (including both high-resource language such as English and low-resource languages such as Swahili).
 
 #### Fine-tuning on XNLI