Upload 2 files

token_counter.py

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+import json
+import tiktoken
+
+# Load the JSON data from your file
+with open('your_json_file_here.json', 'r') as json_file:
+    data = json.load(json_file)
+
+# Initialize a list to store token lengths
+token_lengths = []
+
+# Iterate through items in the JSON file
+for item in data:
+    if 'conversations' in item:
+        all_content = ""
+        for conversation in item['conversations']:
+            if 'message' in conversation:
+                all_content += conversation['message']
+
+        # Calculate token length for all content
+        encoding = tiktoken.get_encoding("cl100k_base")
+        num_tokens = len(encoding.encode(all_content))
+
+        # Add token length as a property to the item
+        item['token_length'] = num_tokens
+        token_lengths.append(num_tokens)
+
+# Calculate the average token length for each item
+for i, item in enumerate(data):
+    num_contents = len(item.get('conversations', []))
+    if num_contents > 0:
+        item['average_token_length'] = item['token_length'] / num_contents
+
+# Save the updated data with average token lengths to a new JSON file
+with open('json_file_w_token_counts.json', 'w') as updated_json_file:
+    json.dump(data, updated_json_file, indent=4)
+
+# Optionally, you can print the average token length for each item
+for i, item in enumerate(data):
+    print(f"Item {i + 1} - Average Token Length: {item.get('average_token_length')}")
+
+# Optionally, you can print the total average token length for all items
+total_average_token_length = sum(item.get('average_token_length', 0) for item in data) / len(data)
+print(f"Total Average Token Length for all items: {total_average_token_length}")

token_filter.py

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+import json
+
+# Load the JSON data from your file
+with open('your_json_file_here.json', 'r') as json_file:
+    data = json.load(json_file)
+
+# Define the minimum values for filtering
+minimum_average_token_length = 125  # Set your desired minimum average token length
+minimum_conversations_length = 10   # Set your desired minimum length of the 'conversations' array
+
+# Filter the items that meet the minimum criteria
+filtered_items = [
+    item for item in data
+    if item.get('average_token_length', 0) >= minimum_average_token_length
+    and len(item.get('conversations', [])) >= minimum_conversations_length
+]
+
+# Save the filtered items to a new JSON file
+with open('filtered_json_file.json', 'w') as filtered_json_file:
+    json.dump(filtered_items, filtered_json_file, indent=4)
+
+# Optionally, you can print the filtered items
+for i, item in enumerate(filtered_items):
+    print(f"Filtered Item {i + 1} - Average Token Length: {item.get('average_token_length')}, Conversations Length: {len(item.get('conversations', []))}")