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README.md

@@ -1,33 +1,43 @@
 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: int64
-  - name: question
-    dtype: string
-  - name: choices
-    sequence: string
-  - name: answerID
-    dtype: int64
-  splits:
-  - name: eval
-    num_bytes: 396224
-    num_examples: 1954
-  - name: train
-    num_bytes: 2017203
-    num_examples: 10000
-  download_size: 1321087
-  dataset_size: 2413427
-configs:
-- config_name: default
-  data_files:
-  - split: eval
-    path: data/eval-*
-  - split: train
-    path: data/train-*
+language:
+- en
+license: mit
+pretty_name: siqa
+size_categories:
+- 10K<n<100K
+tags:
+- multiple-choice
+- benchmark
+- evaluation
 ---
+
 # siqa Dataset
 
+## Dataset Information
+- **Original Hugging Face Dataset**: `lighteval/siqa`
+- **Subset**: `default`
+- **Evaluation Split**: `validation`
+- **Training Split**: `train`
+- **Task Type**: `multiple_choice`
+- **Processing Function**: `process_siqa` 
+
+## Processing Function
+The following function was used to process the dataset from its original source:
+```python
+def process_siqa(example: Dict) -> Tuple[str, List[str], int]:
+    """Process SocialIQA dataset example."""
+    query = f"{example['context']} {example['question']}"
+    
+    # Get the original choices
+    original_choices = [example['answerA'], example['answerB'], example['answerC']]
+    correct_answer = original_choices[int(example["label"]) - 1]  # Convert 1-based index to 0-based
+    
+    # Find the new index of the correct answer after shuffling
+    answer_index = original_choices.index(correct_answer)
+    
+    return query, original_choices, answer_index
+
+```
 ## Overview
 This repository contains the processed version of the siqa dataset. The dataset is formatted as a collection of multiple-choice questions.