Update dataset card

README.md

@@ -1,36 +1,54 @@
----
-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: 30854610
-    num_examples: 7134
-  - name: test
-    num_bytes: 4856407
-    num_examples: 1147
-  download_size: 12409805
-  dataset_size: 35711017
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
----
+
+# 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.
+
+### Dataset Statistics
+- Total examples: 8281
+- Training set size: 7134 examples (combined train + dev)
+- Test set size: 1147 examples
+
+### Dataset Structure
+Each example contains:
+- Required columns:
+  - query: The question to be answered (derived directly from qa.question)
+  - context: Combined context including pre-text, table, and post-text, formatted with random section headers and separators for variety
+  - output: The execution answer (derived from qa.exe_ans)
+- Original FinQA fields:
+  - id: Unique example identifier
+  - pre_text: Text appearing before the table
+  - post_text: Text appearing after the table
+  - table: Tabular data in string format
+  - program: The reasoning program to derive the answer
+  - exe_ans: The execution result
+
+### Context Formation
+The context field is created by concatenating:
+1. Pre-text with a randomly selected header (e.g., "Background:", "Context:", "Pre-text:")
+2. Table data with a randomly selected header (e.g., "Data Table:", "Tabular Data:", "Table:")
+3. Post-text with a randomly selected header (e.g., "Additional Information:", "Follow-up:", "Post-table:")
+
+These sections are joined using random separators (##, 
+
+, or --) to create variety.
+
+## Dataset Creation
+
+### Source Data
+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},
+  author={Chen, Zhiyu and Chen, Wenhu and Smiley, Charese and Shah, Sameena and Borova, Iana and Langdon, Dylan and Moussa, Reema and Beane, Matt and Huang, Ting-Hao and Routledge, Bryan and Wang, William Yang},
+  journal={Proceedings of EMNLP 2021},
+  year={2021}
+}
+```
+### Licensing Information
+This dataset is released under the MIT License, following the original FinQA dataset licensing terms.