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---
task_categories:
- text-classification
language:
- vi
---
## Dataset Card for ViSFD
### 1. Dataset Summary
**UIT‑ViSFD** is a Vietnamese smartphone‐feedback corpus for **aspect‐based sentiment analysis**. It contains **11,122** human‐annotated comments collected from a major e‑commerce platform, with **10 aspect** categories and **3 sentiment polarities** per comment (positive/neutral/negative). In this unified version, train/dev/test splits have been merged into one CSV with a `type` column indicating the split.
### 2. Supported Tasks and Metrics
* **Primary Task**: Multi‐aspect sentiment classification
* **Metrics**:
* **Accuracy** (per‐aspect and overall)
* **Macro‑averaged F1** (per‐aspect and overall)
### 3. Languages
* Vietnamese
### 4. Dataset Structure
| Column | Type | Description |
| ----------- | ------ | ----------------------------------------------------------------------------------------------- |
| `comment` | string | The raw user feedback text (Vietnamese). |
| `n_star` | int | Number of stars given by the user (1–5). |
| `data_time` | string | Timestamp when the comment was posted. |
| `label` | string | JSON‐encoded mapping from each of the **10 aspects** to one of `{negative, neutral, positive}`. |
| `type` | string | Split: `train` / `validation` / `test`. |
| `dataset` | string | Always `ViSFD` (for provenance). |
### 5. Data Fields
* **comment** (`str`): The raw consumer feedback.
* **n\_star** (`int`): User rating (1–5).
* **data\_time** (`str`): Posting date/time of the comment.
* **label** (`str`): A JSON object mapping each aspect to its polarity label.
* **type** (`str`): Which split the sample belongs to.
* **dataset** (`str`): Always `ViSFD`.
### 6. Usage
```python
from datasets import load_dataset
import json
ds = load_dataset("visolex/visfd")
# Separate splits
train = ds.filter(lambda ex: ex["type"] == "train")
val = ds.filter(lambda ex: ex["type"] == "dev")
test = ds.filter(lambda ex: ex["type"] == "test")
# Inspect one example
example = train[0]
labels = json.loads(example["label"])
print("Comment:", example["comment"])
print("Aspects ▶️", labels)
```
### 7. Source & Links
* **Original GitHub (data & code)**
[https://github.com/LuongPhan/UIT-ViSFD](https://github.com/LuongPhan/UIT-ViSFD)
* **Conference Paper**
Phan et al. (2021), “SA2SL: From Aspect‑Based Sentiment Analysis to Social Listening System for Business Intelligence”
---
### 8. Contact Information
* **Author**: Luong Luc Phan et al.
* **Institute**: University of Information Technology – VNUHCM, Vietnam
* **Email**: [18521073@gm.uit.edu.vn](mailto:18521073@gm.uit.edu.vn)
> If any organization intends to use this dataset for commercial purposes, please contact us at [18521073@gm.uit.edu.vn](mailto:18521073@gm.uit.edu.vn).
---
### 10. Licensing and Citation
#### License
Refer to the original repository’s LICENSE. If unspecified, assume **CC BY 4.0**.
#### How to Cite
**Conference Paper**
```bibtex
@InProceedings{10.1007/978-3-030-82147-0_53,
author = {Luc Phan, Luong and Pham, Phuc and Nguyen, Kim Thi-Thanh and Huynh, Sieu Khai
and Nguyen, Tham Thi and Nguyen, Luan Thanh and Huynh, Tin Van and Nguyen, Kiet Van},
title = {SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligence},
booktitle = {Knowledge Science, Engineering and Management},
year = {2021},
publisher = {Springer International Publishing},
pages = {647--658},
isbn = {978-3-030-82147-0}
}
``` |