datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Pars-ABSAVLSP2018-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.setfit-absa-tesla-tweetsVLSP2018-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.absa-edu
Uzbek Education Aspect-Based Sentiment Analysis
Uzbek Education Aspect-Based Sentiment Analysis (absa-edu) is an aspect-level sentiment dataset containing Uzbek-language opinions about education. Each row provides a text sample, an aspect term and category, an opinion expression, sentiment and polarity labels, intensity, context, negation, irony, and script information.
Dataset Summary
Dataset ID: uznlp-uz/absa-edu
Language: Uzbek (uz)
Domain: Education
Rows: 7… See the full description on the dataset page: https://huggingface.co/datasets/uznlp-uz/absa-edu.uzMED-ABSA
uzMED-ABSA
Dataset Summary
uzMED-ABSA is an Uzbek medical-domain dataset for aspect-based sentiment analysis. The current release contains 7,500 annotated aspect-level rows in a single TSV file.
Each row includes:
an Uzbek medical or healthcare-related text sample
an aspect term and aspect category
a normalized aspect label
an opinion expression linked to the aspect
a sentiment label and numeric polarity score
sentiment intensity and context type
negation… See the full description on the dataset page: https://huggingface.co/datasets/uznlp-uz/uzMED-ABSA.uzEDU-ABSA
uzEDU-ABSA
Dataset Summary
uzEDU-ABSA is an Uzbek education-domain dataset for aspect-based sentiment analysis. The current release contains 7,500 annotated rows in a single TSV file.
Each row includes:
an Uzbek educational text sample
an aspect term and aspect category
a normalized aspect label
an opinion expression
a sentiment label and numeric polarity score
sentiment intensity and context type
negation, sarcasm, and writing-system flags
The dataset covers 30… See the full description on the dataset page: https://huggingface.co/datasets/uznlp-uz/uzEDU-ABSA.ABSA_InstructionVLSP2018-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.