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Clean 1TB of LLM training data in hours, not weeks. Remove exact duplicates, near-duplicates, and semantic duplicates automatically. Better data = better models.
Training on duplicate data wastes compute and hurts model quality
Duplicates in training data mean your expensive GPU hours are spent learning the same thing twice. At $10K+ per training run, this adds up fast.
Duplicate data causes overfitting and memorization. Your model learns to parrot instead of generalize.
Data engineers spend weeks cleaning datasets. And they still miss near-duplicates like "How to reset password" vs "Password reset instructions".
Beyond exact matches - we catch what others miss
Identical text repeated. Easy to find, but you'd be surprised how many slip through.
"How to reset password" and "How do I reset my password?" - same meaning, slightly different text.
"The cat sat on the mat" vs "A feline rested on the rug" - semantic equivalents that waste training.
Same information in different order. Our word-ID system catches these regardless of word arrangement.
Simple process, powerful results
Upload CSV, JSON, or JSONL files. We accept up to 10M records per job. Secure transfer available for sensitive data.
Our patented algorithm analyzes every record, building a semantic fingerprint and comparing against all others. 3,000-40,000 records/second.
Cleaned dataset (duplicates removed) + detailed report showing what was removed and why + cluster analysis of similar content.
Duplicates removed
Dedup rate, clusters
What was removed
Data quality insights
Dataset Cleaning uses the same Hiwosy API - batch endpoint for large datasets
Use the /api/batch endpoint for large dataset cleaning. Same unified output for all 3 products.
Use our batch endpoint. Upload CSV/JSON. Get cleaned dataset + reports.
We handle everything. Send data, receive cleaned dataset with full reports.
Who benefits most from dataset cleaning
Clean your training corpus before expensive compute. Remove duplicates that cause overfitting.
Q&A pairs, instruction data, conversation logs - all prone to duplication.
Deduplicate documents before embedding. Better retrieval, lower vector DB costs.
Years of customer data often has 50%+ duplicates. Clean before analysis or training.
Send us 10K records and see the results before committing. No obligation.