Update README.md

README.md

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 ### Dataset Summary
 
-The AdapTable dataset consists of tables that naturally occur on the web and that are formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance.
+The AdapTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models to improve their few-shot performance.
 
 There are several dataset versions available:
 
@@ -81,9 +81,9 @@ There are several dataset versions available:
 
 * [AdapTable-unique](https://huggingface.co/datasets/MicPie/adaptable_unique): This is the same as [AdapTable-full](https://huggingface.co/datasets/MicPie/adaptable_full) but filtered to have a maximum of one task per website. [AdapTable-unique](https://huggingface.co/datasets/MicPie/adaptable_unique) contains exactly 23,744 tasks from 23,744 websites.
 
-* [AdapTable-5k](https://huggingface.co/datasets/MicPie/adaptable_5k): This dataset uses 5k random tables from the full dataset.
+* [AdapTable-5k](https://huggingface.co/datasets/MicPie/adaptable_5k): This dataset contains 5k random tables from the full dataset.
 
-* AdapTable data subsets based on a manual human quality rating:
+* AdapTable data subsets based on a manual human quality rating (please see our publication for details of the ratings):
     * [AdapTable-rated-low](https://huggingface.co/datasets/MicPie/adaptable_rated-low)
     * [AdapTable-rated-medium](https://huggingface.co/datasets/MicPie/adaptable_rated-medium)
     * [AdapTable-rated-high](https://huggingface.co/datasets/MicPie/adaptable_rated-high)
@@ -160,7 +160,7 @@ English
 
 ### Data Instances
 
-Each table, i.e., task is represented as a json-lines file and consists of several few-shot examples. Each example is a dictionary containing a field 'task', which identifies the task, followed by an 'input', 'options', and 'output' field. The 'input' field contains several column elements of the same row in the table, while the 'output' field is a target which represents an individual column of the same row. Each task contains several such examples which can be concatenated as a few-shot task. In the case of multiple choice classification, the 'options' field contains the possible classes that a model needs to choose from. 
+Each task is represented as a jsonline file and consists of several few-shot examples. Each example is a dictionary containing a field 'task', which identifies the task, followed by an 'input', 'options', and 'output' field. The 'input' field contains several column elements of the same row in the table, while the 'output' field is a target which represents an individual column of the same row. Each task contains several such examples which can be concatenated as a few-shot task. In the case of multiple choice classification, the 'options' field contains the possible classes that a model needs to choose from.
 
 There are also additional meta-data fields such as 'pageTitle', 'title', 'outputColName', 'url', 'wdcFile'.