datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
twitter-airline-sentiment
Dataset Card for Twitter US Airline Sentiment
Dataset Summary
This data originally came from Crowdflower's Data for Everyone library.
As the original source says,
A sentiment analysis job about the problems of each major U.S. airline. Twitter data was scraped from February of 2015 and contributors were asked to first classify positive, negative, and neutral tweets, followed by categorizing negative reasons (such as "late flight" or "rude service").
The data we're… See the full description on the dataset page: https://huggingface.co/datasets/osanseviero/twitter-airline-sentiment.amazon-reviews-sentiment-analysis
Dataset Card for amazon reviews for sentiment analysis
Dataset Summary
One of the most important problems in e-commerce is the correct calculation of the points given to after-sales products. The solution to this problem is to provide greater customer satisfaction for the e-commerce site, product prominence for sellers, and a seamless shopping experience for buyers. Another problem is the correct ordering of the comments given to the products. The prominence of misleading… See the full description on the dataset page: https://huggingface.co/datasets/hugginglearners/amazon-reviews-sentiment-analysis.multiclass-sentiment-analysis-dataset
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/Sp1786/multiclass-sentiment-analysis-dataset.ru_sentiment_dataset
Dataset with sentiment of Russian text
Contains aggregated dataset of Russian texts from 6 datasets.
Labels meaning
0: NEUTRAL
1: POSITIVE
2: NEGATIVE
Datasets
Sentiment Analysis in Russian
Sentiments (positive, negative or neutral) of news in russian language from Kaggle competition.
Russian Language Toxic Comments
Small dataset with labeled comments from 2ch.hk and pikabu.ru.
Dataset of car reviews for machine learning (sentiment analysis)
Glazkova A.… See the full description on the dataset page: https://huggingface.co/datasets/MonoHime/ru_sentiment_dataset.youtube-comment-sentiment
YouTube Comments Sentiment Analysis Dataset (1M+ Labeled Comments)
Overview
This dataset comprises over one million YouTube comments, each annotated with sentiment labels—Positive, Neutral, or Negative. The comments span a diverse range of topics including programming, news, sports, politics and more, and are enriched with comprehensive metadata to facilitate various NLP and sentiment analysis tasks.
How to use:
import pandas as pd
df =… See the full description on the dataset page: https://huggingface.co/datasets/AmaanP314/youtube-comment-sentiment.sentiment_analysis_preprocessed_datasetBrief idea about dataset:
This dataset is designed for a Text Classification to be specific Multi Class Classification, inorder to train a model (Supervised Learning) for Sentiment Analysis.
Also to be able retrain the model on the given feedback over a wrong predicted sentiment this dataset will help to manage those things using Other Features.
Main Features
text
labels
This feature variable has all sort of texts, sentences, tweets, etc.
This target variable contains 3 types of… See the full description on the dataset page: https://huggingface.co/datasets/prasadsawant7/sentiment_analysis_preprocessed_dataset.digikala-sentiment-analysisfinance-news-sentiment-35k
Finance News Sentiment 40k
39,965 English financial news headlines, collected from public Telegram
finance news-wire channels, labeled for 3-class sentiment (positive / negative / neutral) and a secondary
topic label, by two independent LLM judges from different model families with
an arbiter settling disputes.
A FinBERT model fine-tuned on this data reaches test accuracy 0.847 / macro F1
0.810: remehostingservices/finbert-finance-news-sentiment.
Code, training scripts and the… See the full description on the dataset page: https://huggingface.co/datasets/remehostingservices/finance-news-sentiment-35k.arabic-sentiments2LLMs-Sentiment-Augmented-Bitcoin-Dataset
Leveraging LLMs for Informed Bitcoin Trading Decisions: Prompting with Social and News Data Reveals Promising Predictive Abilities
The work was carried out by:
Danilo Corsi
Cesare Campagnano
Description
This project investigates the potential of leveraging Large Language Models (LLMs) to support Bitcoin traders. Specifically, we analyze the correlation between Bitcoin price movements and sentiment expressed in news headlines, posts, and comments on social media.
We… See the full description on the dataset page: https://huggingface.co/datasets/danilocorsi/LLMs-Sentiment-Augmented-Bitcoin-Dataset.Sentiment140swahili-sentiment-dataset
Citation
@inproceedings{
gyamfi2026synthetic,
title={Synthetic Data Generation Pipeline for Low-Resource Swahili Sentiment Analysis: Multi-{LLM} Judging with Human Validation},
author={Samuel Gyamfi and Alfred Malengo Kondoro and Yank{\i} {\"O}zt{\"u}rk and Richard Hans Schreiber and Vadim Borisov},
booktitle={7th Workshop on African Natural Language Processing},
year={2026},
url={https://openreview.net/forum?id=VQ0VRo4DGM}
}
Aspect-Based_Sentiment_Analysis_for_Catering
说明
数据集来源于AI Challenger 2018
sentiment_analysis_trainingset.csv 为训练集数据文件，共105000条评论数据
sentiment_analysis_validationset.csv 为验证集数据文件，共15000条评论数据
sentiment_analysis_testa.csv 为测试集A数据文件，共15000条评论数据
数据集分为训练、验证、测试A与测试B四部分。数据集中的评价对象按照粒度不同划分为两个层次，层次一为粗粒度的评价对象，例如评论文本中涉及的服务、位置等要素；层次二为细粒度的情感对象，例如“服务”属性中的“服务人员态度”、“排队等候时间”等细粒度要素。评价对象的具体划分如下表所示。
The dataset is divided into four parts: training, validation, test A and test B. This dataset builds a two-layer labeling system according to the… See the full description on the dataset page: https://huggingface.co/datasets/xcz0/Aspect-Based_Sentiment_Analysis_for_Catering.twitter-sentiment-meta-analysis
Twitter Sentiment Meta-Analysis Dataset
Dataset Description
This dataset contains sentiment analysis results for English tweets collected between September 2009 and January 2010. The tweets were processed and analyzed using 10 different sentiment classifiers, with the final sentiment score derived from principal component analysis (PCA).
Source Data
Original Data: Cheng-Caverlee-Lee Twitter Scrape (Sept 2009 - Jan 2010)
Number of Tweets: 138 690
Language:… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/twitter-sentiment-meta-analysis.faroese_sentiment_analysis
Good or Bad News? Exploring GPT-4 for Sentiment Analysis on Faroese News Corpora
This dataset is a part of the research from the paper "Good or Bad News? Exploring GPT-4 for Sentiment Analysis for Faroese on a Public News Corpora," that focuses on the application of GPT-4 for sentiment analysis on Faroese news texts.
The study addresses the challenges of sentiment analysis in low-resource languages and evaluates the effectiveness of Large Language Models, specifically GPT-4, in… See the full description on the dataset page: https://huggingface.co/datasets/hafsteinn/faroese_sentiment_analysis.sentiment-headline-scores
Sentiment Headline Scores
91,851 labeled news headlines for S&P/DOW/NASDAQ stocks (Reuters/Eikon, July 2019 to Oct 2020), scored using a lexicon I built for a course homework: ShubhamOza/sentiment-headline-lexicon.
Columns
column
what it is
ticker
stock ticker the headline is about
time
headline date
headlines
raw headline text
returns
next period return
label
1.0 if the return was positive, -1.0 if negative
PARTITION_SAMPLE
train / test /… See the full description on the dataset page: https://huggingface.co/datasets/ShubhamOza/sentiment-headline-scores.bengali_sentimentazerbaijani_review_sentiment_classificationAzerbaijani Sentiment Classification Dataset with ~160K reviews.
Dataset contains 3 columns: Content, Score, Upvotes
PersianTwitterDataset-SentimentAnalysis
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
This dataset contains more than 3300 Persian tweets, crawled from X.com
Each tweet is assigned a label, which is a number between 0 to 4.
Label 0 indicates the sentiment of Happiness and Joy.
Label 1 indicates the sentiment of Sadness.
Label 2 indicates the sentiment of Anger and… See the full description on the dataset page: https://huggingface.co/datasets/moali-mkh-2000/PersianTwitterDataset-SentimentAnalysis.youtube-comment-sentiment
YouTube Comments Sentiment Analysis Dataset (1M+ Labeled Comments)
Overview
This dataset comprises over one million YouTube comments, each annotated with sentiment labels—Positive, Neutral, or Negative. The comments span a diverse range of topics including programming, news, sports, politics and more, and are enriched with comprehensive metadata to facilitate various NLP and sentiment analysis tasks.
How to use:
import pandas as pd
df =… See the full description on the dataset page: https://huggingface.co/datasets/vnkat/youtube-comment-sentiment.sentiment-reviewsElectronics_Product_Review_With_Sentiment
📊 Amazon Electronics Review Dataset
This dataset contains Amazon Electronics product reviews with sentiment.It was preprocessed to remove reviews without helpful vote and unverified purchases.
✅ Features
text: The main review text written by customers.
review_sentiment: Positive, Negative, Neutral (classified using Mistral Large Language Model).
verified_purchase: Boolean flag indicating if purchase was verified.
helpful_votes: Number of helpful votes received.… See the full description on the dataset page: https://huggingface.co/datasets/stephaniestv/Electronics_Product_Review_With_Sentiment.fpt-comments-sentiment
fpt-comments-sentiment
This is a hand-curated Vietnamese feedback dataset built from FPT-related discussions across Facebook communities, FuOverflow, Reddit/VOZ-style forums, FPT web pages, and other student-community sources. (Inspired by the NEU-ESC dataset)
The data is curated by manually collected examples with Facebook group comments scraped using Playwright, then cleaned, redacted, hand-reviewed, and labeled with support from LLM-assisted review.
Each row contains a… See the full description on the dataset page: https://huggingface.co/datasets/lducc/fpt-comments-sentiment.RomanUrdu-NLP-Sentiment-Corpus
RomanUrdu-NLP-Sentiment-Corpus
Largest Open-Source Roman Urdu Sentiment Dataset with Slang Robustness
Overview
This repository presents the largest publicly available Roman Urdu sentiment analysis dataset, containing 134,052 labeled text samples collected from chats and social media platforms. The dataset is designed to be:
Robust to slang and informal Roman Urdu
High-quality through LLM-assisted labeling and human validation
Balanced across sentiment classes… See the full description on the dataset page: https://huggingface.co/datasets/Khubaib01/RomanUrdu-NLP-Sentiment-Corpus.sentimento-testefinancial-sentiment-eval-7lang
Financial Sentiment Evaluation Set, 7 Languages
The held-out test set behind the reported accuracy of
Kenpache/finbert-multilingual-v2,
published together with the protocol so the results are independently reproducible.
4,993 financial news sentences in English, Chinese, Japanese, Spanish, German, French and
Arabic, each labelled negative, neutral or positive.
Reproducing the reported result
The model card reports accuracy 0.8724. End to end:
import pandas as pd… See the full description on the dataset page: https://huggingface.co/datasets/Kenpache/financial-sentiment-eval-7lang.course-review-multilabel-sentiment-analysisSST_sentiment_fairness_data
Sentiment fairness dataset
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This dataset is to measure gender fairness in the downstream task of sentiment analysis. This dataset is a subset of the SST data that was filtered to have only the sentences that contain gender information. The python code used to create this dataset can be found in the prepare_sst.ipyth file.
Then the filtered datset was labeled by 4 human annotators who are the authors of this dataset. The annotations… See the full description on the dataset page: https://huggingface.co/datasets/fatmaElsafoury2022/SST_sentiment_fairness_data.amazon-reviews-sentiment-analysis
Dataset Card for amazon reviews for sentiment analysis
Dataset Summary
One of the most important problems in e-commerce is the correct calculation of the points given to after-sales products. The solution to this problem is to provide greater customer satisfaction for the e-commerce site, product prominence for sellers, and a seamless shopping experience for buyers. Another problem is the correct ordering of the comments given to the products. The prominence of… See the full description on the dataset page: https://huggingface.co/datasets/Zhengyif/amazon-reviews-sentiment-analysis.Humir-Sentiment-Datasets
Turkish Sentiment Analysis Dataset
This dataset was created for the Paper SentiWordNet for New Language: Automatic Translation Approach
It contains sentences labelled with positive or negative sentiment.
We have selected two most popular movie and hotel recommendation websites from those which attain a high rate in the Alexa website. We selected “beyazperde.com” and “otelpuan.com” for movie and hotel reviews, respectively. The reviews of 5,660 movies were investigated. The all 220… See the full description on the dataset page: https://huggingface.co/datasets/Alaettin/Humir-Sentiment-Datasets.