Omkar2118/datasets huggingface dataset:
CMU-MOSI
Full name: Multimodal Corpus of Sentiment Intensity

The Multimodal Corpus of Sentiment Intensity (CMU-MOSI) dataset is a collection of 2199 opinion video clips. Each opinion video is annotated with sentiment in the range [-3,3]. The dataset is rigorously annotated with labels for subjectivity, sentiment intensity, per-frame and per-opinion annotated visual features, and per-milliseconds annotated audio features.
Yelp

The Yelp Dataset is a valuable resource for academic research, teaching, and learning. It provides a rich collection of real-world data related to businesses, reviews, and user interactions. Here are the key details about the Yelp Dataset:
Reviews: A whopping 6,990,280 reviews from users.
Businesses: Information on 150,346 businesses.
Pictures: A collection of 200,100 pictures.
Metropolitan Areas: Data from 11 metropolitan areas.
Tips: Over 908,915 tips provided by 1,987,897 users.
Business Attributes: Details like hours, parking availability, and ambiance for more than 1.2 million businesses.
Aggregated Check-ins: Historical check-in data for each of the 131,930 businesses.
SUBJ
Full name: Subjectivity dataset

Available are collections of movie-review documents labeled with respect to their overall sentiment polarity (positive or negative) or subjective rating (e.g., "two and a half stars") and sentences labeled with respect to their subjectivity status (subjective or objective) or polarity.

Source: [SUBJ](http://www.cs.cornell.edu/people/pabo/movie-review-data/)