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--- |
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license: apache-2.0 |
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task_categories: |
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- zero-shot-classification |
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- depth-estimation |
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- multiple-choice |
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- summarization |
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language: |
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- en |
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- es |
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- de |
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- fr |
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tags: |
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- upgrow.com |
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- upgrow |
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- instagram |
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- instagram growth |
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- upgrow instagram growth |
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pretty_name: UpGrow-Boost |
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size_categories: |
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- 1B<n<10B |
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--- |
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#  UpGrow Boost™ |
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Welcome to the [UpGrow](https://www.upgrow.com) Boost Dataset repository on Hugging Face. This repository provides insights into our dataset used for powering our AI-driven **Instagram growth services**. |
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## 🌐 About UpGrow |
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UpGrow is a trailblazing platform offering [Instagram growth services](https://www.upgrow.com/instagram-growth-service) powered by artificial intelligence (AI) and advanced machine learning algorithms for rapid and efficient Instagram growth. |
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## 📊 UpGrow-Boost Dataset |
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The UpGrow-Boost Dataset is a collection of Instagram user data anonymized and aggregated to respect privacy. It consists of user interactions, engagements, and other behavioral aspects that serve as the foundation for our machine learning models. |
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## 🧪 Using UpGrow-Boost Dataset |
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Using our dataset in your machine learning project with the Hugging Face 🤗 Datasets library is straightforward: |
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```python |
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from datasets import load_dataset |
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# Load the dataset |
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dataset = load_dataset("UpGrow/UpGrow-Boost") |
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``` |
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## 🔍 Dataset Details |
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Please note that our dataset is for research use only and should be used responsibly. More details about the dataset, including the data schema, can be found in the dataset card. |
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## 📚 Resources |
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Dive into more insights about our Instagram growth services, AI-driven strategies, and machine learning models by visiting our official website, API documentation, and blog. |
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## 📧 Contact Us |
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Need assistance or have queries? Feel free to reach out via our contact page. |
