Examples reorg (#11350)

* Base move

* Examples reorganization

* Update references

* Put back test data

* Move conftest

* More fixes

* Move test data to test fixtures

* Update path

* Apply suggestions from code review

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Address review comments and clean

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

docs/source/sagemaker.md

@@ -325,7 +325,7 @@ When you create a `HuggingFace` Estimator, you can specify a [training script th
 
 If you are using `git_config` to run the [🤗 Transformers examples scripts](https://github.com/huggingface/transformers/tree/master/examples) keep in mind that you need to configure the right `'branch'` for you `transformers_version`, e.g. if you use `transformers_version='4.4.2` you have to use `'branch':'v4.4.2'`. 
 
-As an example to use `git_config` with an [example script from the transformers repository](https://github.com/huggingface/transformers/tree/master/examples/text-classification).
+As an example to use `git_config` with an [example script from the transformers repository](https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-classification).
 
 _Tip: define `output_dir` as `/opt/ml/model` in the hyperparameter for the script to save your model to S3 after training._
 
@@ -338,7 +338,7 @@ git_config = {'repo': 'https://github.com/huggingface/transformers.git','branch'
  # create the Estimator
 huggingface_estimator = HuggingFace(
         entry_point='run_glue.py',
-        source_dir='./examples/text-classification',
+        source_dir='./examples/pytorch/text-classification',
         git_config=git_config,
         instance_type='ml.p3.2xlarge',
         instance_count=1,