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Vietnamese Humanizer Dataset

SFT data for natural Vietnamese rewriting: an AI rewrite is the input and the original news passage is the target (messages).

  • 2,677 pairs: 2,151 train · 267 validation · 259 test, in Parquet format.
  • Generation and evaluation model: gpt-6.1-sol.
  • Recorded API usage: 8,916,167 tokens — 6,578,507 input and 2,337,660 output, including recorded trial calls.
  • Estimated cost: approximately USD 36.53 at standard token prices.
  • Created by: toandev.

Thanks to Underthesea for UVN-1, the source of news articles published in 2025–2026. Dataset construction was inspired by jialinyyzz/humanizer-data; no samples from that dataset were used.

CC BY-NC 4.0 — non-commercial use. Automatically filtered; not fully human-reviewed.

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