Upload README.md

README.md

@@ -14,7 +14,7 @@ size_categories:
 - 10K<n<100K
 ---
 
-# Financial Reasoning Dataset with Distractors
+# FinRAG
 
 ## Dataset Description
 
@@ -93,9 +93,13 @@ Each example in the dataset contains:
 }
 ```
 
-## Citation
+## Dataset Sources and Attribution
 
-**FinQA:**
+This derived dataset is based on two source datasets that are licensed under **Creative Commons Attribution 4.0 International (CC-BY 4.0)**. The distractor generation methodology and dataset structure are licensed under MIT. This work complies with the CC-BY 4.0 attribution requirements by providing proper attribution, copyright notices, license information, and links to the original datasets below.
+
+### FinQA Dataset
+
+**Citation:**
 ```bibtex
 @inproceedings{chen-etal-2021-finqa,
     title = "{F}in{QA}: A Dataset of Numerical Reasoning over Financial Data",
@@ -107,7 +111,13 @@ Each example in the dataset contains:
 }
 ```
 
-**TAT-QA:**
+**License:** [Creative Commons Attribution 4.0 International (CC-BY 4.0)](https://creativecommons.org/licenses/by/4.0/)
+**Original Dataset:** https://finqasite.github.io/
+**Modifications:** This derived work adds multiple-choice distractors to the original FinQA questions.
+
+### TAT-QA Dataset
+
+**Citation:**
 ```bibtex
 @inproceedings{zhu-etal-2021-tat,
     title = "{TAT}-{QA}: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance",
@@ -116,4 +126,8 @@ Each example in the dataset contains:
     booktitle = "Proceedings of ACL-IJCNLP 2021",
     year = "2021"
 }
-```
+```
+
+**License:** [Creative Commons Attribution 4.0 International (CC-BY 4.0)](https://creativecommons.org/licenses/by/4.0/)
+**Original Dataset:** https://nextplusplus.github.io/TAT-QA/
+**Modifications:** This derived work adds multiple-choice distractors to the original TAT-QA questions.