Unlock the Power of LLM: Explore These Datasets to Train Your Own ChatGPT!
⚡ Executive Summary & Quick Facts
Authoritative Sourceawesome-chatgpt-dataset is awesome-chatgpt-dataset is an open-source project written in Python: Unlock the Power of LLM: Explore These Datasets to Train Your Own ChatGPT!..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), voidful/awesome-chatgpt-dataset has accumulated 773 GitHub stars and 66 forks. It is written in Python, licensed under GPL-3.0, and ranks #8,867 globally. It is actively maintained with the latest commit recorded on Oct 27, 2026.”
| Repository | voidful/awesome-chatgpt-dataset ↗ |
|---|---|
| Primary Category | awesome |
| Language & Stack | Python |
| Software License | GPL-3.0 |
| Community Traction | ★ 773 stars · ⑂ 66 forks · #8,867 globally |
| Maintenance | ● Active (Last commit: Oct 27, 2026) · 0 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 · Grade A+Yes, awesome-chatgpt-dataset is actively maintained. Continuous telemetry recorded the last code commit on Oct 27, 2026 (7 days ago). Supported by 773 stars and 66 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+19
STARS · LAST 30 DAYS
1
PER DAY
#1,248
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +19 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
awesome-chatgpt-dataset gained 19 stars in the last 30 days, about 1 a day, and now has 773. It is about 4 years old and has averaged roughly 193 stars a year. It ranks #1,248 among Python repositories and #8,867 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#10154
BEST RANK
Oct 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
awesome-chatgpt-dataset has maintained a continuous presence across global trending indexes, peaking at #10154. Below is the 30-day activity profile:
💡 Overview
awesome-chatgpt-dataset is an open-source project written in Python: Unlock the Power of LLM: Explore These Datasets to Train Your Own ChatGPT!.
Engineered for speed, consistency, and developer ease, it solves common hurdles in awesome, chatgpt, dataset. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install awesome-chatgpt-dataset⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
awesome-chatgpt-dataset coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with awesome-chatgpt-dataset.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install awesome-chatgpt-dataset using your package manager: `pip install awesome-chatgpt-dataset`
Initialize your project workspace or configuration file for awesome-chatgpt-dataset.
Import awesome-chatgpt-dataset into your codebase or invoke it directly from your terminal.
Execute your test suite or run `awesome-chatgpt-dataset --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
voidful/awesome-chatgpt-dataset is currently ranked #8,867 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #8,858 | Haohao-end/openagent | Python | ★ 775 | Compare ↗ |
| #8,858 | devmobasa/wayscriber | Rust | ★ 775 | Compare ↗ |
| #8,864 | KnpLabs/knp-components | PHP | ★ 774 | Compare ↗ |
| #8,864 | GrapheneOS/grapheneos.org | HTML | ★ 774 | Compare ↗ |
| #8,864 | controlplaneio-fluxcd/flux-operator | Go | ★ 774 | Compare ↗ |
| #8,867 | voidful/awesome-chatgpt-dataset This Project | Python | ★ 773 | |
| #8,867 | getsentry/sentry-dotnet | C# | ★ 773 | Compare ↗ |
| #8,867 | mguessan/davmail | Java | ★ 773 | Compare ↗ |
| #8,870 | NucleoidAI/Nucleoid | Rust | ★ 772 | Compare ↗ |
| #8,871 | marcel/aws-s3 | Ruby | ★ 771 | Compare ↗ |
| #8,871 | hexgnu/linkedin | Ruby | ★ 771 | Compare ↗ |
Frequently Asked Questions
What does awesome-chatgpt-dataset do? +
Unlock the Power of LLM: Explore These Datasets to Train Your Own ChatGPT!
Is awesome-chatgpt-dataset actively maintained in 2026? +
Yes, awesome-chatgpt-dataset is actively maintained. The latest code push was recorded on Oct 27, 2026 (7 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 773 stars and 0 open issues.
What language is awesome-chatgpt-dataset written in? +
The primary language is Python. Topics include: awesome, chatgpt, dataset, gpt4, instructions.
How many stars does awesome-chatgpt-dataset have? +
awesome-chatgpt-dataset has 773 stars and 66 forks on GitHub.
How does awesome-chatgpt-dataset rank among GitHub repositories? +
With 773 stars, voidful/awesome-chatgpt-dataset is ranked #8,867 globally across all repositories tracked on GitHubRepo and #1,248 among Python projects.
What license is awesome-chatgpt-dataset distributed under? +
The repository reports a GPL-3.0 license. Always verify the repository LICENSE file for legal terms.
