Create README.md

README.md

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+---
+task_categories:
+- text-classification
+language:
+- vi
+---
+## VLSP2018-ABSA-Restaurant
+
+### Dataset Summary
+
+The VLSP 2018 Restaurant corpus targets the same ACSA sub-tasks (ACD & SPC) on **4,751** Vietnamese restaurant reviews. This unified CSV includes:
+
+* **12** aspect–category indicator columns, each with values {0, 1, 2, 3}.
+* A `type` column for train/dev/test.
+* A `dataset` column fixed to `VLSP2018-ABSA-Restaurant`.
+
+
+### Supported Tasks and Metrics
+
+* **Aspect Category Detection**
+* **Sentiment Polarity Classification**
+* **Metrics:** Precision, Recall, F1
+
+### Languages
+
+* Vietnamese
+
+### Dataset Structure
+
+| Column                        | Type  | Description                                                       |
+| ----------------------------- | ----- | ----------------------------------------------------------------- |
+| `Review`                      | `str` | The raw restaurant review.                                        |
+| `<Aspect#Category>` (12 cols) | `int` | Polarity indicator (0=absent, 1=positive, 2=negative, 3=neutral). |
+| `type`                        | `str` | Split: `train` / `validation` / `test`.                           |
+| `dataset`                     | `str` | Always `VLSP2018-ABSA-Restaurant`.                                |
+
+The 12 aspect–category columns:
+
+```
+AMBIENCE#GENERAL, DRINKS#PRICES, …, SERVICE#GENERAL
+```
+
+
+### Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("visolex/vlsp2018-absa-restaurant")
+train = ds.filter(lambda ex: ex["type"] == "train")
+print(train.features)
+```
+
+
+### Source & Links
+
+* **GitHub:** [https://github.com/ds4v/absa-vlsp-2018](https://github.com/ds4v/absa-vlsp-2018 "https://github.com/ds4v/absa-vlsp-2018") 
+* **Publication:** End-to-end Multi-task Solutions for ACSA on Vietnamese (VLSP 2018) ([github.com][1])
+
+---
+
+### Citation
+
+```bibtex
+@INPROCEEDINGS{9865479,
+  author={Dang, Hoang-Quan and Nguyen, Duc-Duy-Anh and Do, Trong-Hop},
+  booktitle={2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom)}, 
+  title={Multi-task Solution for Aspect Category Sentiment Analysis on Vietnamese Datasets}, 
+  year={2022},
+  volume={},
+  number={},
+  pages={404-409},
+  keywords={Sentiment analysis;Analytical models;Computational modeling;Multitasking;Task analysis;Cybernetics;Computational intelligence;Aspect-based Sentiment Analysis;PhoBERT;Aspect Category Detection;Sentiment Polarity Classification},
+  doi={10.1109/CyberneticsCom55287.2022.9865479}}
+}
+```