Add dataset card

README.md

@@ -1,31 +1,52 @@
 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: query
-    dtype: string
-  - name: answer
-    dtype: string
-  - name: text
-    dtype: string
-  - name: choices
-    sequence: string
-  - name: gold
-    dtype: int64
-  - name: category
-    dtype: string
-  - name: original_sentiment
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 945268
-    num_examples: 160
-  download_size: 412360
-  dataset_size: 945268
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+language:
+- ar
+license: apache-2.0
+task_categories:
+- multiple-choice
+- text-classification
+pretty_name: Sentiment Analysis MCQ Training Dataset
+tags:
+- sentiment-analysis
+- mcq
+- financial
+- arabic
+- training
 ---
+
+# Sentiment Analysis MCQ Training Dataset
+
+Training dataset for financial sentiment analysis in MCQ format.
+
+## Dataset Structure
+
+- **Format**: Multiple choice questions
+- **Language**: Arabic
+- **Domain**: Financial reports and market news
+- **Task**: Sentiment classification (positive/negative/neutral)
+
+## Fields
+
+- `id`: Unique identifier
+- `query`: Full MCQ prompt with instructions
+- `answer`: Correct answer letter (a, b, c)
+- `text`: Question text without instructions
+- `choices`: List of answer options
+- `gold`: Zero-based index of correct answer
+- `category`: Report category
+- `original_sentiment`: Original sentiment label
+
+## Example
+
+```json
+{
+  "id": "sentiment_mcq_00001",
+  "query": "اقرأ بعناية التقرير المالي التالي...",
+  "answer": "c",
+  "text": "التقرير: [financial report]...",
+  "choices": ["a", "b", "c"],
+  "gold": 2,
+  "category": "general",
+  "original_sentiment": "neutral"
+}
+```