datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SentimentSynth
SentimentSynth Dataset
Overview
The SentimentSynth dataset is a collection of text samples expressing various sentiments, ranging from joy and excitement to stress and sadness. These samples are generated to simulate human-like expressions of emotions in different contexts.
Citation
If you use the SentimentSynth dataset in your work, please cite it as:
@misc {helpingai_2024,
author = { {HelpingAI} },
title = { SentimentSynth (Revision… See the full description on the dataset page: https://huggingface.co/datasets/OEvortex/SentimentSynth.reviews_with_sentimentsfine_grained_media_sentiments_annotationsTask: Aspect based sentiment recognition. Domain: Political news coverage. Named entities have been masked with [NEG], [NEU], or [POS] tokens. Dataset size: 1400 clippits.
An ABSA-BERT model successfully leveraged this dataset, with semi-supervised learning, to get very good results on fine grained sentiment recognition.
Creation: Five of my friends voluntarily used my browser plugin annotation tool I made to send me marked sentences of the news they were reading. How well they understood the… See the full description on the dataset page: https://huggingface.co/datasets/bitsinthesky/fine_grained_media_sentiments_annotations.review-phrases-sentiments-v2