Create README.md

README.md

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+---
+task_categories:
+- text-classification
+language:
+- vi
+---
+## VLSP2018-ABSA-Hotel
+
+### Dataset Summary
+
+The VLSP 2018 Hotel corpus is designed for Vietnamese Aspect-Based Sentiment Analysis (ABSA), covering two sub-tasks of Aspect Category Sentiment Analysis (ACSA):
+
+1. **Aspect Category Detection (ACD):** identify which `Aspect#Category` pairs are present in each review.
+2. **Sentiment Polarity Classification (SPC):** assign one of three sentiment labels (`Positive`, `Negative`, `Neutral`) to each detected `Aspect#Category`.
+
+This unified CSV contains **5,600** reviews with a `type` column for `train`/`dev`/`test` and binary indicators for each aspect–category (0=no, 1=positive, 2=negative, 3=neutral).
+
+
+### Supported Tasks and Metrics
+
+* **Aspect Category Detection:** multi-label classification
+* **Sentiment Polarity Classification:** multi-class classification
+* **Metrics:** Precision, Recall, F1 (for both ACD and SPC)
+
+
+### Languages
+
+* Vietnamese
+
+
+### Dataset Structure
+
+| Column                           | Type  | Description                                               |
+| -------------------------------- | ----- | --------------------------------------------------------- |
+| `Review`                         | `str` | The raw hotel review text.                                |
+| `<Aspect#Category>` (34 columns) | `int` | One-hot+polarity indicator per aspect#category (0/1/2/3). |
+| `type`                           | `str` | Split: `train` / `validation` / `test`.                   |
+| `dataset`                        | `str` | Always `VLSP2018-ABSA-Hotel`.                             |
+
+The 34 aspect–category columns are:
+
+```
+FACILITIES#CLEANLINESS, FACILITIES#COMFORT, …, SERVICE#GENERAL
+```
+
+(each value: 0=absent, 1=positive, 2=negative, 3=neutral)
+
+
+### Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("visolex/vlsp2018-absa-hotel")
+
+train = ds.filter(lambda ex: ex["type"] == "train")
+val   = ds.filter(lambda ex: ex["type"] == "dev")
+test  = ds.filter(lambda ex: ex["type"] == "test")
+
+print(train[0])
+```
+
+
+### 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)
+
+
+### 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}}
+}
+```