Rename Training Data examples

Author: rp-aeldridge

README.md

@@ -177,12 +177,12 @@ for ticker in references.tickers:
         print(ticker)
 ```
 
-## Training Datasets
+## Training Data
 
 Analyse your own content using RavenPack’s proprietary NLP technology.
 
 ### Uploading a file
-Upload a file to the system. In order to successfully have your files analized by RavenPack's Training Datasets platform, you need to perform the following method:
+Upload a file to the system. In order to successfully have your files analized by RavenPack's Training Data platform, you need to perform the following method:
 
 ```python
 f = api.upload.file("_orig.doc")
@@ -198,7 +198,7 @@ f.save_analytics("_analytics.json")
 ```
 
 ### Getting normalized documents
-RavenPack’s Training Datasets provides normalized content in JSON format, along with text categorization, tables and metadata derived from the original document.
+RavenPack’s Training Data provides normalized content in JSON format, along with text categorization, tables and metadata derived from the original document.
 
 ```python
 f.save_text_extraction("_text_extraction.json")
@@ -210,7 +210,7 @@ It is also possible to obtain the normalized content in JSON format, along with
 f.save_annotated("_annotated_document.json", output_format='application/json')
 ```
 
-For further details, please [see the example of usage exposed here](ravenpackapi/examples/training_datasets_example.py).
+For further details, please [see the example of usage exposed here](ravenpackapi/examples/training_data_example.py).