Update README.md

README.md

@@ -73,37 +73,39 @@ configs:
 
 ## Summary
 
-The dataset is a collection of simple math world problems focused on arithmetics. It is derived from <https://github.com/arkilpatel/SVAMP/>.
+The dataset is a collection of simple math word problems focused on arithmetics. It is derived from <https://github.com/arkilpatel/SVAMP/>.
 
 The main addition in this dataset variant is the `chain` column. It was created by converting the solution to a simple html-like language that can be easily
 parsed (e.g. by BeautifulSoup). The data contains 3 types of tags:
 
 - gadget: A tag whose content is intended to be evaluated by calling an external tool (sympy-based calculator in this case)
 - output: An output of the external tool
-- result: The final answer of the mathematical problem (a number)
+- result: The final answer to the mathematical problem (a number)
 
 
 ##  Supported Tasks
 
 This variant of the dataset is intended for training Chain-of-Thought reasoning models able to use external tools to enhance the factuality of their responses.
-This dataset presents in-context scenarios where models can out-source the computations in the reasoning chain to a calculator.
+This dataset presents in-context scenarios where models can outsource the computations in the reasoning chain to a calculator.
 
 
-## Attributes:
+## Features:
 
 - `id`: problem id from the original dataset
 - `question`: the question intended to answer
 - `chain`: series of simple operations (derived from `equation`) that leads to the solution
 - `result`: the result (number) as a string
 - `result_float`: result converted to a floating point
-- `equation`: an nested expression that evaluates to the correct result
+- `equation`: a nested expression that evaluates to the correct result
 - `problem_type`: a category of the problem
 
+Features `id`, `question`, `chain`, and `result` are present in all datasets in [Calc-X collection](https://huggingface.co/collections/MU-NLPC/calc-x-652fee9a6b838fd820055483).
+
 
 ## Content and data splits
 
-The dataset contains the same data instances ad the original dataset except for a correction of inconsistency between `equation` and `answer` in one data instance.
-To the best of our knowledge, the original dataset does not contain an official train-test split, and we do not create one. However, original authors have used cross-validation in the official repository - for more info, see <https://github.com/arkilpatel/SVAMP/>.
+The dataset contains the same data instances as the original dataset except for a correction of inconsistency between `equation` and `answer` in one data instance.
+To the best of our knowledge, the original dataset does not contain an official train-test split. We treat the whole dataset as a testing benchmark.
 
 
 ## Licence