README.md

metadata

license: mit
task_categories:
  - text-classification
  - text-generation
  - question-answering
  - summarization
language:
  - en
tags:
  - artificial-intelligence
  - machine-learning
  - deep-learning
  - nlp
  - computer-vision
  - data-science
  - technical-articles
  - analytics-india-magazine
  - ai-models
  - programming
size_categories:
  - 10K<n<100K
pretty_name: Analytics India Magazine Technical Articles Dataset

Analytics India Magazine Technical Articles Dataset 🚀

Dataset Description

This comprehensive dataset contains 25,685 high-quality technical articles from Analytics India Magazine, one of India's leading publications covering artificial intelligence, machine learning, data science, and emerging technologies.

✨ Dataset Highlights

• 📚 Comprehensive Coverage: Latest AI models, frameworks, and tools
• 🔬 Technical Depth: Extracted keywords and complexity scoring
• 🏭 Industry Focus: Real-world applications and insights
• ⚡ Multiple Formats: JSON and optimized Parquet files
• 🎯 ML Ready: Pre-processed and split for training

Dataset Statistics

Metric	Value
Total Articles	25,685
Technical Articles	25,647
Average Word Count	724 words
Language	English
Source	Analytics India Magazine

🎯 Technologies Covered

AI & Machine Learning

• Large Language Models: GPT, Claude, Gemini, Llama
• Frameworks: TensorFlow, PyTorch, Hugging Face
• MLOps Tools: MLflow, Weights & Biases, Kubeflow
• Agent Frameworks: LangChain, AutoGen, CrewAI

Programming & Tools

• Languages: Python, JavaScript, SQL
• Cloud Platforms: AWS, Azure, GCP
• Development: APIs, Docker, Kubernetes

📊 Dataset Structure

Core Fields

• title: Article title
• content: Full article content (cleaned)
• excerpt: Article summary
• author_name: Article author
• publish_date: Publication date
• url: Original article URL

Technical Metadata

• extracted_tech_keywords: Technical terms found in content
• technical_depth: Number of technical keywords
• complexity_score: Technical complexity (0-4)
• word_count: Article length
• categories: Article categories
• tags: Content tags

Quality Indicators

• has_code_examples: Contains code snippets
• has_tutorial_content: Tutorial or how-to content
• is_research_content: Research or analysis
• has_external_links: Contains external references

📋 Dataset Splits

Split	Examples	Purpose
Train	19,221	Model training
Validation	2,136	Hyperparameter tuning
Test	3,769	Final evaluation

🚀 Quick Start

Using Hugging Face Datasets

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("abhilash88/aim-technical-articles")

# Access splits
train_data = dataset["train"]
test_data = dataset["test"]

# Filter technical articles
technical_articles = dataset.filter(
    lambda x: x["technical_depth"] >= 3
)

Using Pandas

import pandas as pd

# Load from JSON
df = pd.read_json("aim_full_dataset.json")

# Load from Parquet (faster)
df = pd.read_parquet("aim_full_dataset.parquet")

# Convert list columns back from JSON strings
import json
df['categories'] = df['categories'].apply(json.loads)
df['extracted_tech_keywords'] = df['extracted_tech_keywords'].apply(json.loads)

🎯 Use Cases

Machine Learning

• Text Classification: Topic classification, difficulty assessment
• Content Generation: Article summarization, content creation
• Recommendation Systems: Technical content recommendations
• Question Answering: Technical QA systems

Business Intelligence

• Trend Analysis: Technology trend identification
• Market Research: Industry insights and analysis
• Content Strategy: Editorial planning and optimization

Education & Research

• Curriculum Development: AI/ML course creation
• Knowledge Mining: Technical concept extraction
• Academic Research: Technology adoption studies

📦 Available Files

Standard Formats

• aim_full_dataset.json - Complete dataset
• aim_full_dataset.csv - CSV format
• aim_full_dataset.parquet - Optimized Parquet format

Specialized Subsets

• aim_quality_dataset.json - High-quality articles (300+ words)
• aim_technical_dataset.json - Highly technical content
• aim_tutorial_dataset.json - Educational content
• aim_research_dataset.json - Research and analysis articles

ML-Ready Splits

• train.json / train.parquet - Training data
• test.json / test.parquet - Test data
• validation.json / validation.parquet - Validation data (if available)

📈 Content Quality

• Duplicate Removal: All articles are unique by ID
• Content Filtering: Minimum word count requirements
• Technical Validation: Verified technical keywords
• Clean Processing: HTML removed, text normalized
• Rich Metadata: Comprehensive article classification

⚖️ Ethics & Usage

Licensing

• License: MIT License
• Attribution: Analytics India Magazine
• Usage: Educational and research purposes recommended

Content Guidelines

• All content is publicly available from the source
• Original URLs provided for attribution
• Respects robots.txt and rate limiting
• No personal or private information included

📚 Citation

@dataset{aim_technical_articles_2025,
  title={Analytics India Magazine Technical Articles Dataset},
  author={Abhilash Sahoo},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/abhilash88/aim-technical-articles}
}

🤝 Contact & Support

• Dataset Creator: Abhilash Sahoo
• Hugging Face: @abhilash88
• Source: Analytics India Magazine

For questions, issues, or suggestions, please open a discussion on the Hugging Face dataset page.

🔄 Updates & Versions

• Version 2.0 (Current): Enhanced processing, technical depth scoring
• Last Updated: 2025-07-11
• Processing Pipeline: Optimized extraction with 2025 tech coverage

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🎯 Ready to power your next AI project with comprehensive technical knowledge!

This dataset captures the cutting edge of AI and technology discourse, perfect for training models, research, and building intelligent applications.