metadata

title: SentimentSpark
emoji: 🏆
colorFrom: blue
colorTo: gray
sdk: static
pinned: false
license: apache-2.0
short_description: SentimentSpark

File Tree

SentimentSpark/

├── data.csv # Dataset: CSV with index, text, and label columns

├── README.md # Dataset Card: Dark-themed Markdown with emojis, tabs, and full project description

├── index.html # Web App: Bootstrap HTML for dark GUI

├── styles.css # Web App: Custom CSS for dark theme

├── script.js # Web App: JavaScript to load and display dataset

├── requirements.txt # Dependencies: Python libraries for upload

data.csv

""" index,text,label 1,"This app is absolutely amazing! 🌟","positive" 2,"The service was terrible, never again. 😞","negative" 3,"Love the new features, so intuitive! 🚀","positive" 4,"Really disappointed with the quality. 😕","negative" 5,"Best experience ever, highly recommend! 🎉","positive" """

README.md

"""

dataset_info: features: - name: index dtype: int64 - name: text dtype: string - name: label dtype: string splits: - name: train num_examples: 4 - name: test num_examples: 1 download_size: 2000 dataset_size: 2000 license: apache-2.0 task_categories: - text-classification tags: - sentiment-analysis - text - nlp - emoji pretty_name: SentimentSpark language: - en

🌑 SentimentSpark: Ignite Your NLP Journey 🔥

Welcome to SentimentSpark!
This dataset lights up your sentiment analysis projects with a sleek, emoji-rich collection of text reviews. Designed for researchers, developers, and NLP enthusiasts, SentimentSpark is a compact, high-quality dataset for training and evaluating text classification models. 🚀

🌟 Project Overview

SentimentSpark is a professionally curated dataset for sentiment analysis, featuring indexed text reviews with positive or negative labels. Paired with a dark-themed web app, it offers a modern, engaging resource for prototyping, education, or benchmarking. Hosted on the Hugging Face Hub, it includes a dataset repository and a Space for interactive visualization. All files are stored in the root directory for simplicity. 🌍

Homepage: https://huggingface.co/datasets/your-username/SentimentSpark
Repository: https://huggingface.co/datasets/your-username/SentimentSpark
Space: https://huggingface.co/spaces/your-username/SentimentSpark-App
License: Apache-2.0 📜
Task: Text Classification (Sentiment Analysis)
Language: English 🇬🇧
Point of Contact: [Your Name or Email]

📊 Dataset Structure

📋 Data Instances

Each instance includes an index, a text review, and a sentiment label. Example:

{
  "index": 1,
  "text": "This app is absolutely amazing! 🌟",
  "label": "positive"
}