Sentiment Classification
indonesia-bert-sentiment-classificationroberta-targeted-sentiment-classification-newsarticleswav2vec2-base-finetuned-sentiment-classification-MESDIndicBERTv2-alpha-SentimentClassificationsentiment-classification-bert-minigreekbart-sentiment-classificationBERT_fineTuned_Sentiment_Classification_YelpFinance-Sentiment-Classification
multilingual-sentiment-classification
MultilingualSentimentClassification
An MTEB dataset
Massive Text Embedding Benchmark
Sentiment classification dataset with binary
(positive vs negative sentiment) labels. Includes 30 languages and dialects.
Task category
t2c
DomainsReviews, Written
Reference
https://huggingface.co/datasets/mteb/multilingual-sentiment-classification
How to evaluate on this task
You can evaluate an embedding model on this dataset using the… See the full description on the dataset page: https://huggingface.co/datasets/mteb/multilingual-sentiment-classification.kinopoisk-sentiment-classificationfiqa-sentiment-classification
Dataset Name
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, test with sizes 822, 117, 234 respectively.
Dataset Structure
_id: ID of the data point
sentence: The sentence
target: The target of the… See the full description on the dataset page: https://huggingface.co/datasets/TheFinAI/fiqa-sentiment-classification.task819_pec_sentiment_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task819_pec_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 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task819_pec_sentiment_classification.BLUGE-bengali-sentiment-classification
BLUGE-TSC: Bangla Sentiment Classification
BLUGE-TSC is a meticulously curated and cleaned Bangla Ternary Sentiment Classification dataset, one of the 7 tasks in BLUGE (Bengali Language UnderstandinG Evaluation), a balanced benchmark for evaluating Bengali natural language understanding. See the full BLUGE collection for all 7 tasks, and the B-CORE pretraining corpus and BnLM model suite released alongside it.
Dataset Description
This task classifies Bangla text… See the full description on the dataset page: https://huggingface.co/datasets/nahid-hub/BLUGE-bengali-sentiment-classification.chatbot-conversational-sentiment-analysis-tone-user-classification
Dataset Summary
Synthetic Persian Chatbot Conversational SA – User Tone Classification(SynPerChatbotConvSAToneUserClassification) is a Persian (Farsi) dataset created for the Classification task. It focuses on identifying the user’s conversational tone—formal, casual, or childish—in emotionally rich chatbot interactions. This dataset is part of the FaMTEB (Farsi Massive Text Embedding Benchmark) and was synthetically generated using GPT-4o-mini.
Language(s): Persian (Farsi)… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/chatbot-conversational-sentiment-analysis-tone-user-classification.