Hugging Face's logo

Datasets:
VietFinTabGroup
/
VietFinTab

Tasks:
Image Feature Extraction
Object Detection
Modalities:
Image
Text
Formats:
imagefolder
Languages:
Vietnamese
English
Size:
10K - 100K
Tags:
document-ai
table-structure-recognition
table-recognition
ocr
financial-reports
vietnamese
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
 Community
1
VietFinTab
File size: 3,933 Bytes
86b4b1e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6e41a89
86b4b1e
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
---
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, Bui Hai Dang, Tong Thi Ngoc Quynh},
  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.