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

@@ -0,0 +1,50 @@
+# Bert Benchmark Python* Sample {#openvino_inference_engine_ie_bridges_python_sample_bert_benchmark_README}
+
+This sample demonstrates how to estimate performace of a Bert model using Asynchronous Inference Request API. Unlike [demos](@ref omz_demos) this sample doesn't have configurable command line arguments. Feel free to modify sample's source code to try out different options.
+
+The following Python\* API is used in the application:
+
+| Feature | API | Description |
+| :--- | :--- | :--- |
+| OpenVINO Runtime Version | [openvino.runtime.get_version] | Get Openvino API version |
+| Basic Infer Flow | [openvino.runtime.Core], [openvino.runtime.Core.compile_model] | Common API to do inference: compile a model |
+| Asynchronous Infer | [openvino.runtime.AsyncInferQueue], [openvino.runtime.AsyncInferQueue.start_async], [openvino.runtime.AsyncInferQueue.wait_all] | Do asynchronous inference |
+| Model Operations | [openvino.runtime.CompiledModel.inputs] | Get inputs of a model |
+
+## 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 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.
+
+## Running
+
+Install the `openvino` Python package:
+
+```
+python -m pip install openvino
+```
+
+Install packages from `requirements.txt`:
+
+```
+python -m pip install -r requirements.txt
+```
+
+Run the sample
+
+```
+python bert_benchmark.py
+```
+
+## Sample Output
+
+The sample outputs how long it takes to process a dataset.
+
+## See Also
+
+- [Integrate the OpenVINO™ Runtime with Your Application](../../../../docs/OV_Runtime_UG/integrate_with_your_application.md)
+- [Using OpenVINO™ Toolkit Samples](../../../../docs/OV_Runtime_UG/Samples_Overview.md)
+- [Model Downloader](@ref omz_tools_downloader)
+- [Model Optimizer](../../../../docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md)