update readme and add evaluation results

README.md

@@ -47,13 +47,15 @@ tags:
 ## News
 
 <!-- news:start -->
+- **2026-08-27:** Added evaluation results for NaviDC-OCR.
 - **2026-08-08:** Added evaluation results for Kimi-K2.5、Kimi-K2.6、Doubao-Seed-2.1-Pro、MonkeyOCRv2-S-Parsing、MonkeyOCRv2-B-Parsing and OvisOCR2.
 - **2026-06-18:** Real5-OmniDocBench was accepted to ECCV 2026. 🎉
-- **2026-05-28:** Added evaluation results for PaddleOCR-VL-1.6 and MinerU2.5-Pro.
+
 
 <details>
 <summary><strong>Earlier updates</strong></summary>
 
+- **2026-05-28:** Added evaluation results for PaddleOCR-VL-1.6 and MinerU2.5-Pro.
 - **2026-03-05:** Released the [paper](https://arxiv.org/abs/2603.04205) and added results for DeepSeek-OCR 2 and GLM-OCR.
 - **2026-01-28:** Released the dataset and benchmark.
 
@@ -73,6 +75,7 @@ Higher is better for ↑ metrics and lower is better for ↓ metrics. Best resul
 | **PaddleOCR-VL-1.6** | Specialized VLMs | 0.9B | **93.19** | **94.74** | **92.48** | <u>92.78</u> | **93.28** | **92.66** |
 | <u>OvisOCR2</u> | Specialized VLMs | 0.9B | <u>92.29</u> | <u>93.77</u> | <u>91.40</u> | **93.09** | <u>92.88</u> | 90.33 |
 | PaddleOCR-VL-1.5 | Specialized VLMs | 0.9B | 92.05 | 93.43 | 91.25 | 91.76 | 92.16 | <u>91.66</u> |
+| NaviDC-OCR | Specialized VLMs | 1.2B | 90.72 | 92.33 | 90.63 | 89.09 | 90.90 | 90.63 |
 | GLM-OCR | Specialized VLMs | 0.9B | 90.32 | 92.67 | 90.68 | 91.75 | 91.12 | 85.39 |
 | Kimi-K2.6 | General VLMs | 1.1T | 89.76 | 90.08 | 89.62 | 89.58 | 89.91 | 89.61 |
 | Gemini-3 Pro | General VLMs | - | 89.24 | 89.47 | 88.90 | 88.86 | 89.53 | 89.45 |
@@ -109,10 +112,11 @@ Higher is better for ↑ metrics and lower is better for ↓ metrics. Best resul
 
 | Methods | Model Type | Parameters | Overall↑ | Text<sup>Edit</sup>↓ | Formula<sup>CDM</sup>↑ | Table<sup>TEDS</sup>↑ | Reading Order<sup>Edit</sup>↓ |
 | --- | --- | :---: | :---: | :---: | :---: | :---: | :---: |
-| **PaddleOCR-VL-1.6** | Specialized VLMs | 0.9B | **94.74** | **0.035** | **93.65** | **94.12** | <u>0.042</u> |
+| **PaddleOCR-VL-1.6** | Specialized VLMs | 0.9B | **94.74** | **0.035** | **93.65** | **94.12** | 0.042 |
 | <u>OvisOCR2</u> | Specialized VLMs | 0.9B | <u>93.77</u> | 0.041 | 92.13 | <u>93.30</u> | **0.039** |
 | PaddleOCR-VL-1.5 | Specialized VLMs | 0.9B | 93.43 | <u>0.037</u> | <u>93.04</u> | 90.97 | 0.045 |
 | GLM-OCR | Specialized VLMs | 0.9B | 92.67 | 0.054 | 91.10 | 92.28 | 0.061 |
+| NaviDC-OCR | Specialized VLMs | 1.2B | 92.33 | 0.045 | 88.26 | 93.26 | <u>0.039</u> |
 | PaddleOCR-VL | Specialized VLMs | 0.9B | 92.11 | 0.039 | 90.35 | 89.90 | 0.048 |
 | MinerU2.5-pro | Specialized VLMs | 1.2B | 92.11 | 0.040 | 89.77 | 90.57 | 0.043 |
 | Kimi-K2.6 | General VLMs | 1.1T | 90.08 | 0.062 | 89.02 | 85.77 | 0.072 |
@@ -149,14 +153,15 @@ Higher is better for ↑ metrics and lower is better for ↓ metrics. Best resul
 | <u>OvisOCR2</u> | Specialized VLMs | 0.9B | <u>91.40</u> | 0.058 | 90.94 | <u>89.08</u> | 0.058 |
 | PaddleOCR-VL-1.5 | Specialized VLMs | 0.9B | 91.25 | 0.053 | 90.94 | 88.10 | 0.063 |
 | GLM-OCR | Specialized VLMs | 0.9B | 90.68 | 0.071 | 90.30 | 88.78 | 0.100 |
+| NaviDC-OCR | Specialized VLMs | 1.2B | 90.63 | 0.062 | 89.14 | 88.93 | **0.051** |
 | Qwen3-VL-235B | General VLMs | 235B | 89.99 | <u>0.051</u> | 89.06 | 85.95 | 0.064 |
-| MonkeyOCRv2-B-Parsing | Specialized VLMs | 0.7B | 89.70 | 0.058 | 87.50 | 87.39 | **0.052** |
+| MonkeyOCRv2-B-Parsing | Specialized VLMs | 0.7B | 89.70 | 0.058 | 87.50 | 87.39 | <u>0.052</u> |
 | Kimi-K2.6 | General VLMs | 1.1T | 89.62 | 0.073 | <u>91.18</u> | 85.02 | 0.079 |
 | Doubao-Seed-2.1-Pro | General VLMs | - | 89.36 | 0.087 | 87.74 | 89.03 | 0.095 |
 | Gemini-3 Pro | General VLMs | - | 88.90 | 0.086 | 88.10 | 87.20 | 0.087 |
 | Kimi-K2.5 | General VLMs | 1.1T | 88.86 | 0.069 | 89.77 | 83.71 | 0.084 |
 | MinerU2.5-pro | Specialized VLMs | 1.2B | 88.72 | 0.100 | 87.81 | 88.36 | 0.076 |
-| MonkeyOCRv2-S-Parsing | Specialized VLMs | 0.6B | 88.17 | 0.069 | 86.20 | 85.17 | <u>0.056</u> |
+| MonkeyOCRv2-S-Parsing | Specialized VLMs | 0.6B | 88.17 | 0.069 | 86.20 | 85.17 | 0.056 |
 | Qwen2.5-VL-72B | General VLMs | 72B | 87.77 | 0.086 | 88.85 | 83.06 | 0.102 |
 | Gemini-2.5 Pro | General VLMs | - | 87.63 | 0.092 | 86.50 | 85.59 | 0.109 |
 | dots.ocr | Specialized VLMs | 3B | 86.01 | 0.087 | 85.03 | 81.74 | 0.093 |
@@ -189,6 +194,7 @@ Higher is better for ↑ metrics and lower is better for ↓ metrics. Best resul
 | Kimi-K2.6 | General VLMs | 1.1T | 89.58 | 0.073 | 90.10 | 85.49 | 0.077 |
 | MinerU2.5 | Specialized VLMs | 1.2B | 89.41 | 0.062 | 87.55 | 86.83 | 0.053 |
 | Qwen3-VL-235B | General VLMs | 235B | 89.27 | 0.068 | 88.72 | 85.85 | 0.071 |
+| NaviDC-OCR | Specialized VLMs | 1.2B | 89.09 | 0.078 | 85.80 | 89.30 | 0.057 |
 | Doubao-Seed-2.1-Pro | General VLMs | - | 88.99 | 0.098 | 87.47 | 89.31 | 0.102 |
 | Gemini-3 Pro | General VLMs | - | 88.86 | 0.084 | 87.33 | 87.65 | 0.087 |
 | MonkeyOCRv2-B-Parsing | Specialized VLMs | 0.7B | 88.40 | 0.070 | 87.07 | 85.12 | 0.050 |
@@ -217,11 +223,12 @@ Higher is better for ↑ metrics and lower is better for ↓ metrics. Best resul
 
 | Methods | Model Type | Parameters | Overall↑ | Text<sup>Edit</sup>↓ | Formula<sup>CDM</sup>↑ | Table<sup>TEDS</sup>↑ | Reading Order<sup>Edit</sup>↓ |
 | --- | --- | :---: | :---: | :---: | :---: | :---: | :---: |
-| **PaddleOCR-VL-1.6** | Specialized VLMs | 0.9B | **93.28** | **0.042** | **92.61** | <u>91.48</u> | <u>0.051</u> |
+| **PaddleOCR-VL-1.6** | Specialized VLMs | 0.9B | **93.28** | **0.042** | **92.61** | <u>91.48</u> | 0.051 |
 | <u>OvisOCR2</u> | Specialized VLMs | 0.9B | <u>92.88</u> | <u>0.043</u> | 91.18 | **91.72** | **0.040** |
-| PaddleOCR-VL-1.5 | Specialized VLMs | 0.9B | 92.16 | 0.046 | <u>91.80</u> | 89.33 | <u>0.051</u> |
+| PaddleOCR-VL-1.5 | Specialized VLMs | 0.9B | 92.16 | 0.046 | <u>91.80</u> | 89.33 | 0.051 |
 | MinerU2.5-pro | Specialized VLMs | 1.2B | 91.31 | 0.050 | 88.15 | 90.76 | 0.052 |
 | GLM-OCR | Specialized VLMs | 0.9B | 91.12 | 0.059 | 91.02 | 88.20 | 0.071 |
+| NaviDC-OCR | Specialized VLMs | 1.2B | 90.90 | 0.055 | 87.27 | 90.91 | <u>0.045</u> |
 | Kimi-K2.6 | General VLMs | 1.1T | 89.91 | 0.062 | 89.76 | 86.20 | 0.072 |
 | Kimi-K2.5 | General VLMs | 1.1T | 89.66 | 0.064 | 89.83 | 85.53 | 0.077 |
 | PaddleOCR-VL | Specialized VLMs | 0.9B | 89.61 | 0.049 | 86.66 | 87.02 | 0.055 |
@@ -254,9 +261,10 @@ Higher is better for ↑ metrics and lower is better for ↓ metrics. Best resul
 | Methods | Model Type | Parameters | Overall↑ | Text<sup>Edit</sup>↓ | Formula<sup>CDM</sup>↑ | Table<sup>TEDS</sup>↑ | Reading Order<sup>Edit</sup>↓ |
 | --- | --- | :---: | :---: | :---: | :---: | :---: | :---: |
 | **PaddleOCR-VL-1.6** | Specialized VLMs | 0.9B | **92.66** | **0.045** | **91.44** | **91.04** | 0.058 |
-| <u>PaddleOCR-VL-1.5</u> | Specialized VLMs | 0.9B | <u>91.66</u> | <u>0.047</u> | <u>91.00</u> | <u>88.69</u> | 0.061 |
-| OvisOCR2 | Specialized VLMs | 0.9B | 90.33 | 0.048 | 90.58 | 85.23 | **0.048** |
-| MonkeyOCRv2-B-Parsing | Specialized VLMs | 0.7B | 89.97 | 0.051 | 88.10 | 86.88 | <u>0.051</u> |
+| <u>PaddleOCR-VL-1.5</u> | Specialized VLMs | 0.9B | <u>91.66</u> | <u>0.047</u> | <u>91.00</u> | 88.69 | 0.061 |
+| NaviDC-OCR | Specialized VLMs | 1.2B | 90.63 | 0.054 | 87.15 | <u>90.10</u> | **0.042** |
+| OvisOCR2 | Specialized VLMs | 0.9B | 90.33 | 0.048 | 90.58 | 85.23 | <u>0.048</u> |
+| MonkeyOCRv2-B-Parsing | Specialized VLMs | 0.7B | 89.97 | 0.051 | 88.10 | 86.88 | 0.051 |
 | Kimi-K2.6 | General VLMs | 1.1T | 89.61 | 0.060 | 90.25 | 84.27 | 0.078 |
 | Gemini-3 Pro | General VLMs | - | 89.45 | 0.080 | 88.33 | 88.06 | 0.092 |
 | Gemini-2.5 Pro | General VLMs | - | 89.07 | 0.077 | 87.89 | 86.99 | 0.104 |

hf_eval_results/README.md

@@ -33,11 +33,14 @@ Each YAML list item reports one task:
   date: "2026-05-28"
   source:
     url: https://huggingface.co/datasets/PaddlePaddle/Real5-OmniDocBench
-    name: Real5-OmniDocBench README
-    org: PaddlePaddle
-  notes: "PaddleOCR-VL-1.6; official reported result"
+    name: Real5-OmniDocBench Leaderboard
+    user: PaddlePaddle
 ```
 
+The public benchmark repository is used as the result source. Do not link
+private or internal leaderboard data files. Add `notes` only when a result
+needs an explanatory footnote, because the Hub renders notes with an asterisk.
+
 ## Generate Files From Current README Data
 
 The Space leaderboard data must already be generated from the external source

hf_eval_results/examples/model_eval_results.yaml

@@ -12,9 +12,8 @@
   date: "2026-05-28"
   source:
     url: https://huggingface.co/datasets/PaddlePaddle/Real5-OmniDocBench
-    name: Real5-OmniDocBench README
-    org: PaddlePaddle
-  notes: "PaddleOCR-VL-1.6; official reported result"
+    name: Real5-OmniDocBench Leaderboard
+    user: PaddlePaddle
 
 - dataset:
     id: PaddlePaddle/Real5-OmniDocBench
@@ -23,9 +22,8 @@
   date: "2026-05-28"
   source:
     url: https://huggingface.co/datasets/PaddlePaddle/Real5-OmniDocBench
-    name: Real5-OmniDocBench README
-    org: PaddlePaddle
-  notes: "PaddleOCR-VL-1.6; official reported result"
+    name: Real5-OmniDocBench Leaderboard
+    user: PaddlePaddle
 
 - dataset:
     id: PaddlePaddle/Real5-OmniDocBench
@@ -34,9 +32,8 @@
   date: "2026-05-28"
   source:
     url: https://huggingface.co/datasets/PaddlePaddle/Real5-OmniDocBench
-    name: Real5-OmniDocBench README
-    org: PaddlePaddle
-  notes: "PaddleOCR-VL-1.6; official reported result"
+    name: Real5-OmniDocBench Leaderboard
+    user: PaddlePaddle
 
 - dataset:
     id: PaddlePaddle/Real5-OmniDocBench
@@ -45,9 +42,8 @@
   date: "2026-05-28"
   source:
     url: https://huggingface.co/datasets/PaddlePaddle/Real5-OmniDocBench
-    name: Real5-OmniDocBench README
-    org: PaddlePaddle
-  notes: "PaddleOCR-VL-1.6; official reported result"
+    name: Real5-OmniDocBench Leaderboard
+    user: PaddlePaddle
 
 - dataset:
     id: PaddlePaddle/Real5-OmniDocBench
@@ -56,9 +52,8 @@
   date: "2026-05-28"
   source:
     url: https://huggingface.co/datasets/PaddlePaddle/Real5-OmniDocBench
-    name: Real5-OmniDocBench README
-    org: PaddlePaddle
-  notes: "PaddleOCR-VL-1.6; official reported result"
+    name: Real5-OmniDocBench Leaderboard
+    user: PaddlePaddle
 
 - dataset:
     id: PaddlePaddle/Real5-OmniDocBench
@@ -67,6 +62,5 @@
   date: "2026-05-28"
   source:
     url: https://huggingface.co/datasets/PaddlePaddle/Real5-OmniDocBench
-    name: Real5-OmniDocBench README
-    org: PaddlePaddle
-  notes: "PaddleOCR-VL-1.6; official reported result"
+    name: Real5-OmniDocBench Leaderboard
+    user: PaddlePaddle

hf_eval_results/scripts/generate_model_eval_results.py

@@ -42,7 +42,6 @@ def load_overall_rows(path: Path) -> list[dict[str, object]]:
 
 
 def make_entries(row: dict[str, object], args: argparse.Namespace) -> list[dict[str, object]]:
-    method = str(row["method"])
     entries: list[dict[str, object]] = []
     for task_id, column in TASK_COLUMNS.items():
         value = row.get(column)
@@ -61,9 +60,8 @@ def make_entries(row: dict[str, object], args: argparse.Namespace) -> list[dict[
             entry["source"] = {
                 "url": args.source_url,
                 "name": args.source_name,
-                "org": args.source_org,
+                "user": args.source_user,
             }
-        entry["notes"] = f"{method}; official Real5-OmniDocBench result"
         entries.append(entry)
     return entries
 
@@ -77,7 +75,7 @@ def main() -> None:
     parser.add_argument("--date", help="Optional ISO-8601 evaluation date.")
     parser.add_argument("--source-url", default=DEFAULT_SOURCE_URL)
     parser.add_argument("--source-name", default="Real5-OmniDocBench Leaderboard")
-    parser.add_argument("--source-org", default="PaddlePaddle")
+    parser.add_argument("--source-user", default="PaddlePaddle")
     args = parser.parse_args()
 
     rows = load_overall_rows(args.data)