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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01tadad /kat57-ocr-bench-500-results Kat57 OCR benchmark — CER/WER Strict reference-based evaluation of 16 OCR models on a deterministic 500-card sample from Lund University Library's Kat57 catalogue-card collection. This result set contains only Character Error Rate (CER) and Word Error Rate (WER); it does not contain VLM judging or ELO ratings. The sample was drawn with seed 57 from tadad/kat57-ground-truth and is published as tadad/kat57-ground-truth-500. The OCR outputs are retained in… See the full description on the dataset page: https://huggingface.co/datasets/tadad/kat57-ocr-bench-500-results.tabular1K<n<10K0 likes164 downloads22d agoHugging Face02tadad /kat57-ocr-bench-results Kat57 OCR smoke benchmark results Exact ground-truth scoring for a 50-card Tesseract integration run over tadad/kat57-ground-truth-smoke. OCR outputs are published in the tesseract config of tadad/kat57-ocr-bench. Model CER WER Evaluated Empty outputs Error sentinels Skipped references Tesseract 5 0.4656 0.8605 50 1 0 0 The corpus totals are 4,629 character edits over 9,941 reference characters and 1,221 word edits over 1,419 reference words. Scoring used… See the full description on the dataset page: https://huggingface.co/datasets/tadad/kat57-ocr-bench-results.tabularn<1K0 likes70 downloads22d agoHugging Face03davanstrien /ocr-bench-britannica-results-qwen35 OCR Bench Results: ocr-bench-britannica VLM-as-judge pairwise evaluation of OCR models. Rankings depend on document type — there is no single best OCR model. Leaderboard Rank Model Params ELO 95% CI Wins Losses Ties Win% 1 zai-org/GLM-OCR 0.9B 1716 1673–1769 182 60 2 75% 2 lightonai/LightOnOCR-2-1B 1B 1697 1655–1749 158 61 1 72% 3 numind/NuExtract3 4B 1649 1604–1708 162 82 0 66% 4 FireRedTeam/FireRed-OCR 2.1B 1506 1469–1548 115 127 2 47% 5… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/ocr-bench-britannica-results-qwen35.tabularn<1K1 likes44 downloads4mo agoHugging Face04davanstrien /bpl-ocr-bench-results OCR Bench Results: bpl-ocr-bench VLM-as-judge pairwise evaluation of OCR models. Rankings depend on document type — there is no single best OCR model. Leaderboard Rank Model ELO 95% CI Wins Losses Ties Win% 1 lightonai/LightOnOCR-2-1B 1559 1497–1630 39 25 0 61% 2 zai-org/GLM-OCR 1535 1471–1591 48 35 1 57% 3 rednote-hilab/dots.ocr 1453 1385–1515 26 37 0 41% 4 deepseek-ai/DeepSeek-OCR 1452 1388–1514 33 49 1 40% Details Source dataset:… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/bpl-ocr-bench-results.tabularn<1K0 likes34 downloads7mo agoHugging Face05davanstrien /ocr-bench-judge-eval-27b OCR Bench Results: ocr-bench-britannica VLM-as-judge pairwise evaluation of OCR models. Rankings depend on document type — there is no single best OCR model. Leaderboard Rank Model ELO 95% CI Wins Losses Ties Win% 1 lightonai/LightOnOCR-2-1B 1675 1571–1836 26 9 1 72% 2 FireRedTeam/FireRed-OCR 1612 1518–1767 25 13 1 64% 3 zai-org/GLM-OCR 1594 1480–1739 24 14 1 62% 4 deepseek-ai/DeepSeek-OCR 1437 1332–1546 15 23 1 38% 5 rednote-hilab/dots.ocr 1182… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/ocr-bench-judge-eval-27b.tabularn<1K0 likes33 downloads7mo agoHugging Face06davanstrien /ocr-bench-britannica-results OCR Bench Results: ocr-bench-britannica VLM-as-judge pairwise evaluation of OCR models. Rankings depend on document type — there is no single best OCR model. Leaderboard Rank Model Params ELO 95% CI Wins Losses Ties Win% 1 rednote-hilab/dots.mocr 3B 1745 1714–1782 436 141 4 75% 2 lightonai/LightOnOCR-2-1B 1B 1741 1709–1779 426 141 4 75% 3 zai-org/GLM-OCR 0.9B 1738 1707–1773 469 157 2 75% 4 allenai/olmOCR-2-7B-1025-FP8 1719 1688–1753 454 167 4 73%… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/ocr-bench-britannica-results.tabular1K<n<10K0 likes32 downloads3mo agoHugging Face07davanstrien /ocr-bench-ufo-results OCR Bench Results: ocr-bench-ufo VLM-as-judge pairwise evaluation of OCR models. Rankings depend on document type — there is no single best OCR model. Leaderboard Rank Model ELO 95% CI Wins Losses Ties Win% 1 deepseek-ai/DeepSeek-OCR 1691 1620–1801 46 12 0 79% 2 lightonai/LightOnOCR-2-1B 1570 1492–1661 36 23 0 61% 3 rednote-hilab/dots.ocr 1432 1339–1512 22 35 1 38% 4 zai-org/GLM-OCR 1307 1209–1374 11 45 1 19% Details Source dataset:… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/ocr-bench-ufo-results.tabularn<1K0 likes23 downloads7mo agoHugging Face08j4xfu2mm /ocr-benchmark-results OCR Bench Results: ocr-benchmark-combined VLM-as-judge pairwise evaluation of OCR models. Rankings depend on document type — there is no single best OCR model. Leaderboard Rank Model Params ELO 95% CI Wins Losses Ties Win% 1 clearocr.com/clearocr-api 1837 1801–1882 488 56 1 90% 2 deepseek-ai/DeepSeek-OCR 4B 1639 1611–1671 380 164 1 70% 3 lightonai/LightOnOCR-2-1B 1B 1448 1421–1477 242 302 0 44% 4 rednote-hilab/dots.ocr 1.7B 1384 1353–1413 193 351 0 35%… See the full description on the dataset page: https://huggingface.co/datasets/j4xfu2mm/ocr-benchmark-results.tabular1K<n<10K0 likes21 downloads5mo agoHugging Face09davanstrien /ocr-bench-judge-eval-122b OCR Bench Results: ocr-bench-britannica VLM-as-judge pairwise evaluation of OCR models. Rankings depend on document type — there is no single best OCR model. Leaderboard Rank Model ELO 95% CI Wins Losses Ties Win% 1 lightonai/LightOnOCR-2-1B 1833 1725–2478 31 4 1 86% 2 zai-org/GLM-OCR 1610 1476–2239 24 14 1 62% 3 FireRedTeam/FireRed-OCR 1571 1465–2167 22 16 1 56% 4 deepseek-ai/DeepSeek-OCR 1431 1292–2034 15 23 1 38% 5 rednote-hilab/dots.ocr 1054… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/ocr-bench-judge-eval-122b.tabularn<1K0 likes20 downloads7mo agoHugging Face10davanstrien /ocr-bench-moh-results OCR Bench Results: ocr-bench-moh VLM-as-judge pairwise evaluation of OCR models. Rankings depend on document type — there is no single best OCR model. Leaderboard Rank Model Params ELO 95% CI Wins Losses Ties Win% 1 lightonai/LightOnOCR-2-1B 1B 1618 1592–1643 410 210 21 64% 2 deepseek-ai/DeepSeek-OCR-2 3.4B 1579 1555–1604 385 250 14 59% 3 baidu/Qianfan-OCR 4.7B 1577 1550–1604 377 250 11 59% 4 numind/NuExtract3 4B 1572 1549–1598 370 249 30 57% 5… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/ocr-bench-moh-results.tabular1K<n<10K0 likes19 downloads2mo agoHugging Face11davanstrien /ocr-bench-rubenstein-judgetabularn<1K0 likes18 downloads7mo agoHugging Face12davanstrien /ocr-bench-ufo-judge-30btabularn<1K0 likes17 downloads7mo agoHugging Face13davanstrien /ocr-bench-britannica-nuextract3-sweep OCR Bench Results: ocr-bench-britannica VLM-as-judge pairwise evaluation of OCR models. Rankings depend on document type — there is no single best OCR model. Leaderboard Rank Model Params ELO 95% CI Wins Losses Ties Win% 1 glm-ocr 1556 1513–1599 116 78 0 60% 2 lighton-ocr-2 1538 1496–1580 99 76 0 57% 3 nuextract3 1532 1495–1573 104 82 7 54% 4 nuextract3-t0rep 1491 1451–1531 91 97 6 47% 5 nuextract3-think 1383 1334–1427 57 134 3 29%… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/ocr-bench-britannica-nuextract3-sweep.tabularn<1K0 likes15 downloads4mo agoHugging Face14davanstrien /bpl-ocr-bench-results-qwen35tabularn<1K0 likes14 downloads7mo agoHugging Face15davanstrien /ocr-bench-rubenstein-judge-30btabularn<1K0 likes10 downloads7mo agoHugging Face16davanstrien /ocr-bench-judge-eval-35btabularn<1K0 likes10 downloads7mo agoHugging Face17davanstrien /ocr-bench-rubenstein-judge-kimi-k25tabularn<1K0 likes8 downloads7mo agoHugging Face18UlrickBL /robust-ocr-benchtabularn<1K0 likes7 downloads6mo agoHugging Face

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