ahammadmejbah/Awesome-Datasets-Hub

A curated collection of datasets for Large Language Models (LLMs), covering medical AI, NLP, multimodal learning, instruction tuning, reasoning, code generation, and evaluation benchmarks.

150
Stars
41
Forks
35.0
Radar Score
Stable
Momentum

Scoring Breakdown

Impact37.4
Velocity30.9
Health37.1

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
—

Why it ranks

Modest but positive momentum.

AI Coding ToolsTop 71% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
78%
Moderate Confidence
License
Unlicensed / Custom
Review license terms carefully before commercial adoption.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
35.0
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

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