Readme with licensing info

FinRAG.parquet

@@ -1,3 +1,3 @@
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README.md

@@ -14,7 +14,7 @@ size_categories:
 - 10K<n<100K
 ---
 
-# FinRAG
+# Financial Reasoning Dataset with Distractors
 
 ## Dataset Description
 
@@ -61,6 +61,10 @@ Each example in the dataset contains:
 - **`question`** (string): The financial reasoning question to be answered
 - **`choices`** (list of strings): List of 5 answer choices (1 correct + 4 distractors), randomly shuffled
 - **`answer`** (integer): Index (0-4) pointing to the correct choice in the `choices` list
+- **`metadata`** (dict): Additional information including:
+  - `instructions`: General instructions for the question type
+  - `date_created`: Date the entry was created
+  - `identifier`: Numeric identifier
 
 ### Data Example
 
@@ -80,17 +84,18 @@ Each example in the dataset contains:
   ],
   "question": "Analyse this data from a financial earnings document. What it the increase / (decrease) in revenue from 2018 to 2019?",
   "choices": ["-3978", "17737", "94", "95", "1"],
-  "answer": 3
+  "answer": 3,
+  "metadata": {
+    "instructions": "Analyse this data from a financial earnings document.",
+    "date_created": "2024-07-16",
+    "identifier": 1000
+  }
 }
 ```
 
-## Dataset Sources and Attribution
+## Citation
 
-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:**
+**FinQA:**
 ```bibtex
 @inproceedings{chen-etal-2021-finqa,
     title = "{F}in{QA}: A Dataset of Numerical Reasoning over Financial Data",
@@ -102,13 +107,7 @@ This derived dataset is based on two source datasets that are licensed under **C
 }
 ```
 
-**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:**
+**TAT-QA:**
 ```bibtex
 @inproceedings{zhu-etal-2021-tat,
     title = "{TAT}-{QA}: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance",
@@ -117,8 +116,4 @@ This derived dataset is based on two source datasets that are licensed under **C
     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.
+```