absa
Datasets
All datasets matching “absa”M-ABSA
M-ABSA
This repo contains the data for our paper M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis.
Data Description:
This is a dataset suitable for the multilingual ABSA task with triplet extraction.
All datasets are stored in the data/ folder:
All dataset contains 7 domains.
domains = ["coursera", "hotel", "laptop", "restaurant", "phone", "sight", "food"]
Each dataset contains 21 languages.
langs = ["ar", "da", "de", "en", "es", "fr", "hi"… See the full description on the dataset page: https://huggingface.co/datasets/Multilingual-NLP/M-ABSA.en-fiqa-absa
Dataset Name
📄 Paper · 💻 Code · 🌐 The Fin AI
Used in FinBen — FinBen: A Holistic Financial Benchmark for Large Language Models (arXiv:2402.12659).
Dataset Description
This dataset is based on the task 1 of the Financial Sentiment Analysis in the Wild (FiQA) challenge. It follows the same settings as described in the paper 'A Baseline for Aspect-Based Sentiment Analysis in Financial Microblogs and News'. The dataset is split into three subsets: train, valid… See the full description on the dataset page: https://huggingface.co/datasets/TheFinAI/en-fiqa-absa.setfit-absa-semeval-restaurants
Dataset Card for "tomaarsen/setfit-absa-semeval-restaurants"
Dataset Summary
This dataset contains the manually annotated restaurant reviews from SemEval-2014 Task 4, in the format as
understood by SetFit ABSA.
For more details, see https://aclanthology.org/S14-2004/
Data Instances
An example of "train" looks as follows.
{"text": "But the staff was so horrible to us.", "span": "staff", "label": "negative", "ordinal": 0}
{"text": "To be completely fair, the only… See the full description on the dataset page: https://huggingface.co/datasets/tomaarsen/setfit-absa-semeval-restaurants.FiQA_ABSAsetfit-absa-semeval-laptops
Dataset Card for "tomaarsen/setfit-absa-semeval-laptops"
Dataset Summary
This dataset contains the manually annotated laptop reviews from SemEval-2014 Task 4, in the format as
understood by SetFit ABSA.
For more details, see https://aclanthology.org/S14-2004/
Data Instances
An example of "train" looks as follows.
{"text": "I charge it at night and skip taking the cord with me because of the good battery life.", "span": "cord", "label": "neutral", "ordinal": 0}… See the full description on the dataset page: https://huggingface.co/datasets/tomaarsen/setfit-absa-semeval-laptops.ABSADatasets