nguyenx2t/semcer-judged-edits
semcer judged edits 61,068,402 character-level OCR errors, each rated by an LLM judge for how much it damages the text. This is the data behind semcer and the paper Equal CER, Unequal Damage: Severity-Weighted Character Error Rate for OCR. Seven OCR and vision-language systems transcribed lines from 25 public datasets in 16 languages. Each transcription was aligned to its reference by grapheme, and a judge (DeepSeek V4 Flash) rated every edit on a 0 to 4 rubric. severity is the… See the full description on the dataset page: https://huggingface.co/datasets/nguyenx2t/semcer-judged-edits.
| Author / organization | nguyenx2t |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.2K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 13 October 2026 |
| Last updated at source | 17 October 2026 |
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