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Korean encoding damage and mixed speech levels

Paste or JSONL strings are scanned for U+FFFD, combining or compatibility jamo, non-NFC Hangul, zero-width marks, UTF-8 misread as Latin-1, and mixed formal/polite/plain endings in replies. Nothing leaves this tab.

Scanning runs in this tab. GearDel does not receive the paste. Recovered previews stay here too.

What is counted

U+FFFD, Hangul combining jamo (U+1100–11FF and extended blocks), compatibility jamo (U+3130–318F), and halfwidth Hangul (U+FFA0–FFDC) are counted from code points.

A string that is not equal to String.normalize('NFC') is flagged. Isolated combining jamo often come from NFD or broken syllables.

Zero-width and bidi marks (including U+200B and U+FEFF) and C0 controls other than tab/newline/CR are counted. They are easy to miss in a viewer.

If every code unit is 0–255 and those bytes are valid UTF-8 that decodes to Hangul, the page shows a recovered preview. That is a Latin-1 misread heuristic, not a guaranteed history of the file. EUC-KR reverse mapping is not attempted.

JSONL mode walks string fields. Speech-level tags (합니다체, 해요체, 반말) run on Alpaca output or assistant/gpt turns only. A line is mixed when two of those endings appear in that reply. Sentence splits are punctuation and newlines. This is not a parser of every Korean ending.

What this page does not do

  • It does not score dataset quality, contamination, or PIPA compliance. Counts are pattern hits, not a grade.
  • It does not run a morphological analyzer. Short replies and quoted speech can look mixed or miss an ending.
  • Recovered text is a preview. Do not treat it as a lossless repair of CP949, EUC-KR, or double-encoded files.
  • At most 20,000 JSONL lines or about two million characters.

Paste

Input shape

0 flagged · replacement 0 · jamo 0 · not NFC 0 · zero-width 0 · UTF-8 misread 0 · mixed speech 0 · 0 JSON objects · 0 errors

Hangul syllables
0
Formal / polite / plain
0 / 0 / 0
JSON objects
0
Code points
0

Questions

Why is a clean Hangul line flagged?

NFC mismatch and combining jamo are separate from visible damage. macOS NFD paths often look identical. Normalize on the Hangul page if you need one form.

Can I share the example link?

?example=1 loads the fictional damaged sample. Your own paste is not stored in the URL.

Does GearDel store the paste?

No. The catalog still does not host datasets. This tool only scans text in the tab.

Related on GearDel

Pick a Korean dataset by task →

Korean LLM training rows →

Alpaca vs ShareGPT vs messages →

Eval sets vs training rows →

All browser tools →