adds jsonl dataset

process_data.py

@@ -0,0 +1,41 @@
+from datasets import load_dataset
+
+dataset_name = "2nji/makebelieve-480"
+
+# Load the dataset
+dataset = load_dataset(dataset_name)
+
+# Shuffle the dataset and slice it
+dataset = dataset['train'].shuffle(seed=42).select(range(480))
+
+
+# Define a function to transform the data
+def transform_conversation(example):
+    conversation_text = example['text']
+    segments = conversation_text.split('###')
+
+    reformatted_segments = []
+
+    # Iterate over pairs of segments
+    for i in range(1, len(segments) - 1, 2):
+        human_text = segments[i].strip().replace('Human:', '').strip()
+
+        # Check if there is a corresponding assistant segment before processing
+        if i + 1 < len(segments):
+            assistant_text = segments[i+1].strip().replace('Assistant:', '').strip()
+
+            # Apply the new template
+            reformatted_segments.append(f'<s>[INST] {human_text} [/INST] {assistant_text} </s>')
+        else:
+            # Handle the case where there is no corresponding assistant segment
+            reformatted_segments.append(f'<s>[INST] {human_text} [/INST] </s>')
+
+    return {'text': ''.join(reformatted_segments)}
+
+
+# Apply the transformation
+transformed_dataset = dataset.map(transform_conversation)
+
+# Upload the dataset to the Hub
+# Don't forget to replace the token with your own
+transformed_dataset.push_to_hub(dataset_name, token="...")