Duplicate from vankey/RealText-V2

Co-authored-by: Richard Tseng <vankey@users.noreply.huggingface.co>

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README.md

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+---
+license: cc-by-nc-4.0
+task_categories:
+  - image-segmentation
+  - text-classification
+  - visual-question-answering
+language:
+  - en
+  - zh
+  - ar
+  - th
+  - ms
+  - id
+tags:
+  - document-forgery-analysis
+  - forgery-detection
+  - multilingual
+  - document-analysis
+  - tampering-detection
+size_categories:
+  - 10K<n<100K
+---
+
+# RealText-V2: A Large-Scale Multilingual Document Forgery Analysis Benchmark
+
+![RealText-V2 Sample](doc_sample.png)
+
+## 💾 Dataset Description
+
+**RealText-V2** is a large-scale multilingual document benchmark dataset purpose-built for multilingual text image forgery analysis, pioneering in both scale and annotation depth.
+
+### Key Features
+
+- **20K+ images**: A large-scale benchmark, surpassing existing document forgery analysis datasets by orders of magnitude
+- **6 languages**: English, Chinese, Arabic, Thai, Malay, and Indonesian — spanning Latin, logographic, Arabic, and Thai script systems, each presenting unique forgery analysis challenges
+- **6 domains**: Finance, education, healthcare, live streaming, e-commerce, and natural scenes
+- **Multi-granularity forgery**: Character-level, word-level, and semantic-level tampering
+- **Multi-source samples**: Real-world and AIGC-synthesized forgery samples covering diverse generation pipelines
+- **Rich multi-task annotations**: Pixel-level localization masks, tampering type labels, and expert-level natural language explanations
+
+### Competition Timeline 
+**ACM MM 2026 MGC: GenText-Forensics: Challenge on Explainable Forensics and Adversarial Generation for Text-Centric Images**
+
+https://www.codabench.org/competitions/15805/
+
+
+| Phase | Date |
+| --- | --- |
+| Competition Launch | April 17, 2026 |
+| Training Data Release | April 20, 2026 |
+| Evaluation Submission Opens | May 22, 2026 |
+| Leaderboard Freeze | May 31, 2026 |
+| Paper Submission Deadline | June 20, 2026 |
+| ACM MM 2026, Rio de Janeiro | November 10–14, 2026 |
+
+## 📊 Dataset Structure
+
+```
+RealText-V2/
+├── train/
+│   ├── image/          # Document images (.jpg for forged, .png for pristine)
+│   │   ├── part000/    # Sharded at 1000 files per subdirectory
+│   │   ├── part001/
+│   │   └── ...
+│   ├── mask/           # Binary tampering masks (forged only)
+│   │   ├── part000/
+│   │   └── ...
+│   └── report/         # Structured forgery analysis reports (.md)
+│       ├── part000/
+│       ├── part001/
+│       └── ...
+├── doc_sample.png
+└── metadata.parquet    # Index file with sample metadata
+```
+
+> **Note:** The test split is withheld for the ongoing ACM MM 2026 competition and will be released after the competition concludes.
+
+### Splits
+
+| Split | Total | Black (Forged) | White (Pristine) |
+|-------|-------|----------------|-------------------|
+| train | 13,500 | 7,500 | 6,000 |
+
+### Language Distribution (Train)
+
+| Language | Code | Black (Forged) | White (Pristine) |
+|----------|------|----------------|-------------------|
+| English  | en   | 2,000          | 1,000             |
+| Chinese  | zh   | 2,000          | 1,000             |
+| Thai     | th   | 1,000          | 1,000             |
+| Malay    | ms   | 1,000          | 1,000             |
+| Indonesian | id | 1,000          | 1,000             |
+| Arabic   | ar   | 500            | 1,000             |
+
+## 📋 Data Fields
+
+| Field | Description |
+|-------|-------------|
+| `sample_id` | Unique identifier (e.g., `GenText_Forensic_00000000`) |
+| `language` | Full language name |
+| `language_code` | ISO 639-1 code |
+| `type` | `black` (forged) or `white` (pristine) |
+| `image_file` | Image filename |
+| `mask_file` | Mask filename (empty for white samples) |
+| `has_mask` | Whether tampering mask exists |
+| `report_file` | Report filename |
+| `report_text` | Full report content |
+
+## 📝 Report Format
+
+Each report is a structured markdown document:
+
+```markdown
+# FORGERY ANALYSIS REPORT
+
+**[Conclusion]:** FORGED / PRISTINE
+**[RISK_SCORE]:** 0-100
+
+### ANOMALY_001: [type] ([location])
+[GROUNDING]: [x1, y1, x2, y2]
+[REASON]: [explanation text]
+
+## SUMMARY
+[summary text]
+```
+
+## ⚖️ License
+
+This dataset is released under CC-BY-NC-4.0 for research purposes only.
+
+## 🙏 Acknowledgments
+
+RealText-V2 is created for the ACM MM 2026 competition on document forgery analysis.

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