[Maxim] Human eval docs

Author: impoiler

images/docs/evaluate/how-to/evaluate-prompts/human-annotation-pipeline/create-evaluators.png

@@ -48,6 +48,7 @@ The human evaluation set requires the following choices
 3. For email based evaluation requests to SMEs or external annotators, we make it easy to send only required entries using a sampling rate. Sampling rate can be defined in 2 ways:
     - Percentage of total entries - This is relevant for large datasets where in it's not possible to manually rate all entries
     - Custom logic - This helps send entries of a particular type to raters. Eg. Ratings which have a low score on the Bias metric (auto eval). By defining these rules, you can make sure to use your SME's time on the most relevant cases.
+4. Use the dropdown to select any columns from the dataset. The selected fields will be displayed on the Human Evaluation dashboard and included in the evaluation emails sent to raters.
 
 ![Human annotation set up](/images/docs/evaluate/how-to/evaluate-prompts/human-annotation-pipeline/set-up-human-annotation.png)
 
@@ -82,6 +83,8 @@ Human raters can go through the query, retrieved context, output and expected ou
 
 Once all entries are completed by a rater, the summary scores and pass/fail results for the human ratings are shown along side all other auto evaluation results in the test run report. The human annotation section will show a `Completed` status next to this rater's email. To view the detailed ratings by a particular individual, click the `View details` button and go through the table provided. 
 
+Analyze ratings and comments from human annotators. View rating overviews, read detailed feedback, and review rewritten outputs. Filter by specific annotators or apply custom filters to focus your analysis.
+
 ![Human review details](/images/docs/evaluate/how-to/evaluate-prompts/human-annotation-pipeline/review-details.png)
 
 If there are particular cases where you would like to use the human corrected output to build ground truth in your datasets, you can use the [data curation flows.](/library/datasets/curate-datasets)