datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
VLSP2018-ABSA-Hotel
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):
Aspect Category Detection (ACD): identify which Aspect#Category pairs are present in each review.
Sentiment Polarity Classification (SPC): assign one of three sentiment labels (Positive, Negative, Neutral) to each detected Aspect#Category.
This unified CSV contains 5,600… See the full description on the dataset page: https://huggingface.co/datasets/visolex/VLSP2018-ABSA-Hotel.VLSP2018-ABSA-Restaurant
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… See the full description on the dataset page: https://huggingface.co/datasets/visolex/VLSP2018-ABSA-Restaurant.VLSP2018-ABSA-Restaurant
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… See the full description on the dataset page: https://huggingface.co/datasets/phuongnt101/VLSP2018-ABSA-Restaurant.vlsp_test