OptiRefine

High-Fidelity Python Data Annotation for AI Models

Human-in-the-loop code generation, debugging, and verification to train your next coding assistant

Fast turnaround • Low cost • Human-reviewed quality

Proof

Before

# Problem: Finding duplicate user IDs in a large datasetdef getduplicates(userlist):duplicates = []for i in range(len(userlist)):
for j in range(i + 1, len(userlist)):
# Nested loop causes exponential slowdown
if userlist[i] == userlist[j]:
# Checking 'if in list' adds more overheadif userlist[i] not in duplicates:duplicates.append(userlist[i])return duplicates# Result: O(n^2) complexity. Takes 30+ seconds for 50,000 records.

After

# Problem: Finding duplicate user IDs in a large dataset
def getduplicates(userlist):
seen = set()
duplicates = set()for userid in userlist:
if userid in seen:
duplicates.add(userid)
else:
seen.add(user_id)return list(duplicates)# Result: Instant execution (0.01s) even with 1,000,000+ records.