| --- |
| 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} |
| } |
| ``` |
