Update README.md

README.md

@@ -8,27 +8,7 @@ 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:
@@ -40,11 +20,11 @@ dataset_info:
       dtype: string
   splits:
     - name: train
-      num_examples: 4
+      num_examples: 400
     - name: test
-      num_examples: 1
-  download_size: 2000
-  dataset_size: 2000
+      num_examples: 100
+  download_size: 50000
+  dataset_size: 50000
 license: apache-2.0
 task_categories:
   - text-classification
@@ -58,35 +38,35 @@ language:
   - en
 ---
 
-# 🌑 SentimentSpark: Ignite Your NLP Journey 🔥
+# 🌑 SentimentSpark: Unleash a Firestorm of Sentiment Analysis 🔥
 
 **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. 🚀
+Launch into the future of NLP with *SentimentSpark*, a massive dataset of **500 emoji-charged reviews** engineered to dominate sentiment analysis. Crafted for researchers, developers, and data visionaries, this balanced dataset (250 positive, 250 negative) is your arsenal for building elite text classification models. Paired with a neon-lit, dark-themed web app, *SentimentSpark* redefines data exploration. Hosted on the Hugging Face Hub, it’s primed to ignite your projects as of June 06, 2025. 🚀
 
 ---
 
-## 🌟 Project Overview
+## 🌟 Why SentimentSpark?
 
-*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. 🌍
+*SentimentSpark* is a colossus in sentiment analysis, offering **500 unique reviews** spanning apps, products, services, and more. Its scale, diversity, and emoji-rich content make it the ultimate resource for benchmarking models, prototyping solutions, and driving innovation. From academia to industry, *SentimentSpark* sets the galaxy ablaze. 🌍
 
-- **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)
+- **Homepage**: [https://huggingface.co/datasets/ghostai1/SentimentSpark](https://huggingface.co/datasets/ghostai1/SentimentSpark)
+- **Repository**: [https://huggingface.co/datasets/ghostai1/SentimentSpark](https://huggingface.co/datasets/ghostai1/SentimentSpark)
+- **Space**: [https://huggingface.co/spaces/ghostai1/SentimentSpark-App](https://huggingface.co/spaces/ghostai1/SentimentSpark-App)
 - **License**: Apache-2.0 📜
 - **Task**: Text Classification (Sentiment Analysis)
 - **Language**: English 🇬🇧
-- **Point of Contact**: [Your Name or Email]
+- **Point of Contact**: ghostai1 [Contact via Hugging Face]
 
 ---
 
 ## 📊 Dataset Structure
 
 ### 📋 Data Instances
-Each instance includes an index, a text review, and a sentiment label. Example:
+Each of the 500 instances is a pulse of sentiment, featuring an index, text review, and label. Example:
 
 ```json
 {
   "index": 1,
-  "text": "This app is absolutely amazing! 🌟",
+  "text": "This app is a game-changer! Super intuitive and lightning-fast. 🌟🌟",
   "label": "positive"
 }