multi-sentiment
distilbert-base-multilingual-cased-sentiments-studentbert-base-multilingual-uncased-sentimenttwitter-xlm-roberta-base-sentiment-multilingualmultilingual-sentiment-analysisbert-base-multilingual-uncased-sentimentrobust-swedish-sentiment-multiclassdistilbert-base-multilingual-cased-sentiments-studentmultilingual-e5-small-aligned-sentiment
multi-domain-sentimentThis sentiment dataset was used in the paper: John Blitzer, Mark Dredze, Fernando Pereira. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification. Association of Computational Linguistics (ACL), 2007.
The author asks, if you use this data for your research or a publication, to cite the above paper as the reference for the data, and to inform him about the reuse.
The Multi-Domain Sentiment Dataset contains product reviews taken from Amazon.com from 4… See the full description on the dataset page: https://huggingface.co/datasets/katossky/multi-domain-sentiment.amazon_reviews_multi_fr_prompt_sentiment_analysis
amazon_reviews_multi_fr_prompt_sentiment_analysis
Summary
amazon_reviews_multi_fr_prompt_sentiment_analysis is a subset of the Dataset of French Prompts (DFP).It contains 5,880,000 rows that can be used for a binary sentiment analysis task.The original data (without prompts) comes from the dataset amazon_reviews_multi by Keung et al. where only the French part has been kept.A list of prompts (see below) was then applied in order to build the input and target columns and… See the full description on the dataset page: https://huggingface.co/datasets/CATIE-AQ/amazon_reviews_multi_fr_prompt_sentiment_analysis.multi_sentimentMulti-Domain-Sentiment-DatasetUsing it for assessment.
Dataset for Multi Domain （Including Kitchen, Books, DVDs, and Electronics）
Multi-Domain Sentiment Dataset by John Blitzer, Mark Dredze, Fernando Pereira.
Description：
The Multi-Domain Sentiment Dataset contains product reviews taken from Amazon.com from 4 product types (domains): Kitchen, Books, DVDs, and Electronics. Each domain has several thousand reviews, but the exact number varies by domain. Reviews contain star ratings (1 to 5 stars) that… See the full description on the dataset page: https://huggingface.co/datasets/JSSICE/Multi-Domain-Sentiment-Dataset.task1575_amazon_reviews_multi_sentiment_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1575_amazon_reviews_multi_sentiment_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1575_amazon_reviews_multi_sentiment_classification.flan_combined_task1575_amazon_reviews_multi_sentiment_classification