Update dataset card

README.md

@@ -1,51 +1,15 @@
----
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: pre_text
-    dtype: string
-  - name: post_text
-    dtype: string
-  - name: table
-    dtype: string
-  - name: qa
-    struct:
-    - name: question
-      dtype: string
-    - name: program
-      dtype: string
-    - name: exe_ans
-      dtype: string
-  splits:
-  - name: train
-    num_bytes: 31018406
-    num_examples: 7134
-  - name: test
-    num_bytes: 4881165
-    num_examples: 1147
-  download_size: 12825988
-  dataset_size: 35899571
----
 
 # FinQA Dataset (Processed)
 
 ## Dataset Description
 
 ### Dataset Summary
-The FinQA dataset is designed for numerical reasoning over financial data, containing questions that require complex reasoning over tables and text from financial reports. This processed version is formatted for consistency with other financial reasoning datasets.
+The FinQA dataset is designed for numerical reasoning over financial data, containing questions that require complex reasoning over tables and text from financial reports.
 
 ### Dataset Statistics
 - Total examples: 8281
-- Training set size: 6624 examples
-- Test set size: 1657 examples
+- Training set size: 7134 examples
+- Test set size: 1147 examples
 
 ### Dataset Structure
 Each example contains:
@@ -77,7 +41,6 @@ These sections are joined using random separators (##,
 This dataset is derived from the FinQA dataset created by Chen et al. The original dataset is available at [FinQA GitHub Repository](https://github.com/czyssrs/FinQA).
 
 ### Citation
-
 ```
 @article{chen2021finqa,
   title={FinQA: A Dataset of Numerical Reasoning over Financial Data},