samples/python/benchmark/bert_benhcmark/requirements.txt: add datasets, install torch cpu only for linux (#14765)

* samples/python/benchmark/bert_benhcmark/requirements.txt: add datasets, install torch cpu only for linux

By default for linux torch is installed with GPU support, but for
windows is CPU only

* benhcmark->benchmark

samples/python/benchmark/bert_benchmark/README.md

@@ -13,7 +13,7 @@ The following Python\* API is used in the application:
 
 ## How It Works
 
-The sample downloads a model and a tokenizer, export the model to onnx, reads the exported model and reshapes it to enforce dynamic inpus shapes, compiles the resulting model, downloads a dataset and runs benhcmarking on the dataset.
+The sample downloads a model and a tokenizer, export the model to onnx, reads the exported model and reshapes it to enforce dynamic inpus shapes, compiles the resulting model, downloads a dataset and runs benchmarking on the dataset.
 
 You can see the explicit description of
 each sample step at [Integration Steps](../../../../docs/OV_Runtime_UG/integrate_with_your_application.md) section of "Integrate OpenVINO™ Runtime with Your Application" guide.
@@ -35,7 +35,7 @@ python -m pip install -r requirements.txt
 Run the sample
 
 ```
-python bert_benhcmark.py
+python bert_benchmark.py
 ```
 
 ## Sample Output

samples/python/benchmark/bert_benchmark/requirements.txt

@@ -0,0 +1,4 @@
+datasets
+transformers[onnx]
+--extra-index-url https://download.pytorch.org/whl/cpu
+torch

samples/python/benchmark/bert_benhcmark/requirements.txt

@@ -1,2 +0,0 @@
-transformers[onnx]
-torch