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README.md
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license: apache-2.0
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short_description: SentimentSpark
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---
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-
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license: apache-2.0
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short_description: SentimentSpark
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---
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---
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dataset_info:
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features:
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- name: text
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dtype: string
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- name: label
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dtype: string
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splits:
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- name: train
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num_examples: 4
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- name: test
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num_examples: 1
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download_size: 1500
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dataset_size: 1500
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license: apache-2.0
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task_categories:
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- text-classification
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tags:
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- sentiment-analysis
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- text
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- natural-language-processing
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pretty_name: SentimentSpark
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language:
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- en
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---
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# π SentimentSpark: A Vibrant Sentiment Analysis Dataset π
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**Welcome to *SentimentSpark*!**
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This dataset ignites your text classification projects with a sparkling collection of sentiment-labeled reviews. Perfect for researchers, data scientists, and NLP enthusiasts, *SentimentSpark* offers a compact yet expressive dataset to train and test sentiment analysis models. π
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---
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## π Overview
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*SentimentSpark* is a professionally curated dataset designed for **sentiment analysis**, featuring short text reviews paired with **positive** or **negative** labels. With its emoji-enriched text and clean structure, itβs ideal for quick prototyping, educational purposes, or benchmarking small-scale NLP models. π
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- **Homepage**: [https://huggingface.co/datasets/your-username/SentimentSpark](https://huggingface.co/datasets/your-username/SentimentSpark)
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- **Repository**: [https://huggingface.co/datasets/your-username/SentimentSpark](https://huggingface.co/datasets/your-username/SentimentSpark)
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- **License**: Apache-2.0 π
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- **Task**: Text Classification (Sentiment Analysis)
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- **Language**: English π¬π§
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- **Point of Contact**: [Your Name or Email]
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---
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## ποΈ Dataset Structure
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### π Data Instances
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Each instance includes a text review and its sentiment label. Hereβs a sample:
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```json
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{
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"text": "This app is absolutely amazing! π",
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"label": "positive"
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}
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