Update README.md

README.md

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 ## Data Quality
 
-The dataset has undergone **deduplication and curation processes** to improve overall quality. However, given the substantial volume of data (nearly 500K examples), some imperfections may remain. Users should expect:
+The dataset has undergone **extensive deduplication and curation processes**, with approximately **250,000 samples removed** during quality filtering to ensure higher standards. Despite this rigorous preprocessing, given the substantial remaining volume (488,910 examples), some imperfections may still be present. Users should expect:
 
 - **Generally high quality** instruction-response pairs suitable for training
-- **Occasional inconsistencies** in formatting, style, or content quality
-- **Recommended preprocessing** for production use cases requiring strict quality standards
+- **Occasional inconsistencies** in formatting, style, or content quality that escaped automated filtering
+- **Recommended additional preprocessing** for production use cases requiring strict quality standards
 
-We encourage users to apply additional filtering or validation steps based on their specific requirements.
+The significant reduction in dataset size demonstrates our commitment to quality over quantity, though we encourage users to apply domain-specific filtering based on their requirements.
 
 ## Use Cases