Update README.md

README.md

@@ -25,31 +25,34 @@ size_categories:
 
 # OCR-Synthetic-Multilingual-v1
 
-## Overview
+## Dataset Description
 
 Large-scale synthetically generated OCR training dataset for multilingual text detection and recognition. The data was produced using a heavily modified and extended version of [SynthDoG](https://github.com/clovaai/donut/tree/master/synthdog) (Synthetic Document Generator), originally introduced in the [Donut](https://github.com/clovaai/donut) project by Kim et al.
 
 This dataset was used to train [**Nemotron OCR v2**](https://huggingface.co/nvidia/nemotron-ocr-v2), a state-of-the-art multilingual OCR model that is part of the [NVIDIA NeMo Retriever](https://developer.nvidia.com/nemo-retriever/) collection.
 
-## Languages
+This dataset is ready for commercial/non-commercial use.
 
-| Subfolder   | Language               | Total Samples | Train          | Test           | Validation     |
-|-------------|------------------------|---------------|----------------|----------------|----------------|
-| `en`        | English                | 1,825,089     | 1,460,304 (63) | 183,629 (63)   | 181,156 (63)   |
-| `ja`        | Japanese               | 1,889,137     | 1,502,712 (67) | 193,779 (67)   | 192,646 (67)   |
-| `ko`        | Korean                 | 2,269,540     | 1,814,994 (78) | 227,091 (78)   | 227,455 (78)   |
-| `ru`        | Russian                | 1,724,733     | 1,380,404 (59) | 171,678 (59)   | 172,651 (59)   |
-| `zh_hans`   | Chinese (Simplified)   | 2,335,343     | 1,914,948 (83) | 210,143 (73)   | 210,252 (73)   |
-| `zh_hant`   | Chinese (Traditional)  | 2,214,304     | 1,772,280 (77) | 221,867 (77)   | 220,157 (77)   |
-| **Total**   |                        | **12,258,146** | **9,845,642**  | **1,208,187**  | **1,204,317**  |
+## Dataset Owner(s):
+NVIDIA Corporation
 
-> Numbers in parentheses are the number of `.h5` files per split.
+## Dataset Creation Date:
+April 15, 2026
 
-## Related Model
+## License/Terms of Use: 
+Dataset Governing Terms: Use of the dataset is governed by the Creative Commons Attribution 4.0 International License (CC BY 4.0).
 
-This dataset was created to train the detection, recognition, and relational components of [**Nemotron OCR v2**](https://huggingface.co/nvidia/nemotron-ocr-v2). See the model card for architecture details, evaluation results, and usage instructions.
+## Intended Usage:
+This dataset is intended for machine learning researchers, AI engineers, and developers working on information retrieval with OCR.
 
-## Directory Layout
+## Dataset Characterization
+** Data Collection Method<br>
+* [Hybrid: Human, Automated, Synthetic]
+
+** Labeling Method<br>
+* [Not Applicable] <br>
+
+## Dataset Format
 
 ```
 OCR-Synthetic-Multilingual-v1/
@@ -151,6 +154,24 @@ with h5py.File("en/train/train_000.h5", "r") as f:
 ```
 
 ---
+## Dataset Quantification
+# Languages
+
+| Subfolder   | Language               | Total Samples | Train          | Test           | Validation     |
+|-------------|------------------------|---------------|----------------|----------------|----------------|
+| `en`        | English                | 1,825,089     | 1,460,304 (63) | 183,629 (63)   | 181,156 (63)   |
+| `ja`        | Japanese               | 1,889,137     | 1,502,712 (67) | 193,779 (67)   | 192,646 (67)   |
+| `ko`        | Korean                 | 2,269,540     | 1,814,994 (78) | 227,091 (78)   | 227,455 (78)   |
+| `ru`        | Russian                | 1,724,733     | 1,380,404 (59) | 171,678 (59)   | 172,651 (59)   |
+| `zh_hans`   | Chinese (Simplified)   | 2,335,343     | 1,914,948 (83) | 210,143 (73)   | 210,252 (73)   |
+| `zh_hant`   | Chinese (Traditional)  | 2,214,304     | 1,772,280 (77) | 221,867 (77)   | 220,157 (77)   |
+| **Total**   |                        | **12,258,146** | **9,845,642**  | **1,208,187**  | **1,204,317**  |
+
+> Numbers in parentheses are the number of `.h5` files per split.
+
+## Related Model
+
+This dataset was created to train the detection, recognition, and relational components of [**Nemotron OCR v2**](https://huggingface.co/nvidia/nemotron-ocr-v2). See the model card for architecture details, evaluation results, and usage instructions.
 
 ## Per-Language Details
 
@@ -214,6 +235,14 @@ with h5py.File("en/train/train_000.h5", "r") as f:
 | Test           | 221,867 samples (77 files)           |
 | Validation     | 220,157 samples (77 files)           |
 
+Total Data Storage: 5.45TB
+
+## Reference(s):
+The synthetic data generation pipeline is based on SynthDoG from the Donut project, with substantial modifications to support additional languages, custom rendering effects, structured bounding-box annotations (word/line/paragraph levels with reading-order graphs), and HDF5 output.
+## Ethical Considerations:
+NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications.  When downloaded or used in accordance with our terms of service, developers should work with their internal developer teams to ensure this dataset meets requirements for the relevant industry and use case and addresses unforeseen product misuse.   
+Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.  
+
 ## Acknowledgements
 
 The synthetic data generation pipeline is based on [SynthDoG](https://github.com/clovaai/donut/tree/master/synthdog) from the Donut project, with substantial modifications to support additional languages, custom rendering effects, structured bounding-box annotations (word/line/paragraph levels with reading-order graphs), and HDF5 output.