| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - image-feature-extraction |
| - object-detection |
| language: |
| - vi |
| - en |
| tags: |
| - document-ai |
| - table-structure-recognition |
| - table-recognition |
| - ocr |
| - financial-reports |
| - vietnamese |
| pretty_name: VietFinTab |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # VietFinTab |
|
|
| ## Dataset Overview |
|
|
| **VietFinTab** is a large-scale Vietnamese financial table dataset designed for **Table Structure Recognition (TSR)**, **Document AI**, and **Optical Character Recognition (OCR)** research. |
|
|
| The dataset is collected from publicly available financial reports of **13 Vietnamese companies** spanning the period from **2023 to 2025**. |
|
|
| The companies included in the dataset are: |
|
|
| * EVN Finance Joint Stock Company (**EVF**) |
| * FPT Corporation (**FPT**) |
| * Hoang Anh Gia Lai Joint Stock Company (**HAG**) |
| * Hoa Phat Group Joint Stock Company (**HPG**) |
| * Military Commercial Joint Stock Bank (**MB**) |
| * PetroVietnam Drilling & Well Services Corporation (**PVD**) |
| * PetroVietnam Technical Services Corporation (**PVS**) |
| * SSI Securities Corporation (**SSI**) |
| * TPBank (**TPB**) |
| * Vingroup Joint Stock Company (**VIN**) |
| * Vietjet Aviation Joint Stock Company (**VJC**) |
| * Vinamilk (**VNM**) |
| * VietinBank (**VTB**) |
|
|
| --- |
|
|
| ## Dataset Statistics |
|
|
| * **10,383** table images (`.jpg`) |
| * **10,383** table structure annotations (`.xml`) |
| * **1,000** table content annotations (`.json`) |
|
|
| Each table image has a corresponding XML file describing its table structure. Additionally, 1,000 tables include detailed cell text annotations with bounding boxes. |
|
|
| --- |
|
|
| ## Directory Structure |
|
|
| ```text |
| VietFinTab/ |
| │ |
| ├── images/ |
| │ ├── EVF/ |
| │ ├── FPT/ |
| │ ├── ... |
| │ |
| ├── structures/ |
| │ ├── EVF/ |
| │ ├── FPT/ |
| │ ├── ... |
| │ |
| ├── contents/ |
| │ ├── EVF/ |
| │ ├── FPT/ |
| │ ├── ... |
| │ |
| └── metadata.jsonl |
| ``` |
|
|
| --- |
|
|
| ## File Formats |
|
|
| ### Table Images |
|
|
| * Format: JPG |
| * One image corresponds to one table extracted from a financial report. |
|
|
| ### Table Structure Annotation |
|
|
| Each XML annotation follows the **PubTables-1M annotation format**, containing: |
|
|
| * Table bounding box |
| * Row bounding boxes |
| * Column bounding boxes |
| * Spanning cell annotations |
|
|
| These annotations are suitable for training and evaluating table structure recognition models. |
|
|
| ### Table Content Annotation |
|
|
| For 1,000 selected tables, JSON annotations provide: |
|
|
| * Text |
| * Text bounding boxes |
|
|
| These annotations enable OCR-related tasks, text recognition, and end-to-end table understanding. |
|
|
| --- |
|
|
| ## Metadata |
|
|
| The dataset includes a `metadata.jsonl` file. |
|
|
| Example: |
|
|
| ```json |
| { |
| "id": "FPT_Q1_2023_0001", |
| "company": "FPT", |
| "quarter": "Q1", |
| "year": 2023, |
| "file_name": "images/FPT/FPT_Q1_2023_0001.jpg", |
| "structure_file": "structures/FPT/FPT_Q1_2023_0001.xml", |
| "content_file": "contents/FPT/FPT_Q1_2023_0001.json", |
| "has_content_label": true |
| } |
| ``` |
|
|
| --- |
|
|
| ## Supported Tasks |
|
|
| VietFinTab can be used for: |
|
|
| * Table Structure Recognition (TSR) |
| * Table Detection |
| * Table Parsing |
| * OCR |
| * End-to-End Table Understanding |
| * Financial Document Analysis |
|
|
| --- |
|
|
| ## Source |
|
|
| The dataset is constructed from publicly available financial reports released by Vietnamese companies. |
|
|
| The original reports are used solely for academic research and dataset construction. |
|
|
| --- |
|
|
| ## Citation |
|
|
| If you use VietFinTab in your research, please cite the accompanying publication. |
|
|
| ```bibtex |
| @dataset{vietfintab, |
| title={VietFinTab: A Vietnamese Financial Table Dataset}, |
| author={Pham Hong Quan}, |
| year={2026}, |
| publisher={Hugging Face}, |
| url={https://huggingface.co/datasets/WuanHP/VietFinTab} |
| } |
| ``` |
|
|
| --- |
|
|
| ## License |
|
|
| This dataset is released under the **CC BY-NC 4.0** license. |
|
|
| It may be used for **research and non-commercial purposes**. Users are responsible for complying with the licensing terms of the original financial reports from which the tables were extracted. |
