Update README.md

README.md

@@ -61,7 +61,7 @@ dataset_info:
 This dataset is an instance of math_qa dataset, converted 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 of the mathematical problem (correct option)
 
 
 ## Supported Tasks
@@ -88,15 +88,13 @@ See [mathqa HF dataset](https://huggingface.co/datasets/math_qa) and [official w
 Columns:
 
 - `question` - th description of a mathematical problem in natural language
-- `options` - dictionary with choices 'a' to 'e' as possible solutions
-- `correct_option` - one of 'a', 'b', 'c', 'd', 'e' - should match with `result`
+- `options` - dictionary with choices 'A' to 'E' as possible solutions
 - `chain` - solution in the form of step-by-step calculations encoded in simple html-like language. computed from `annotated_formula` column
-- `result` - the numerical result of the problem as a string (can be integer, floating number, fraction, ...)
+- `result` - the correct option
 - `result_float` - the result converted to a float
-- `options_num` - same as 'options', but parsed to extract the number from string. This is best-effort only - not all values are (or can be) extracted correctly
-- `rationale` - human-annotated free-text reasoning that leads to the correct answer
 - `annotated_formula` - human-annotated nested expression that (approximately) evaluates to the selected correct answer
 - `linear_formula` - same as `annotated_formula`, but linearized by original math_qa authors
+- `rationale` - human-annotated free-text reasoning that leads to the correct answer
 - `index` - index of the example in the original math_qa dataset