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---
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](https://huggingface.co/datasets/your-username/SentimentSpark)
- **Repository**: [https://huggingface.co/datasets/your-username/SentimentSpark](https://huggingface.co/datasets/your-username/SentimentSpark)
- **Space**: [https://huggingface.co/spaces/your-username/SentimentSpark-App](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:
```json
{
"index": 1,
"text": "This app is absolutely amazing! 🌟",
"label": "positive"
} |