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FinRAG.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0e6106354d99c4ed109b886281ad5a838d011f184340fcd156cca1f26e3dd939
-size 20332214
+oid sha256:0a7e9d5f7aa784fde7c398bdcdb8a921d55b35af5a4f894ec8931db5aae1a63c
+size 20258777

README.md

@@ -61,10 +61,6 @@ 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
 
@@ -84,12 +80,7 @@ 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,
-  "metadata": {
-    "instructions": "Analyse this data from a financial earnings document.",
-    "date_created": "2024-07-16",
-    "identifier": 1000
-  }
+  "answer": 3
 }
 ```