Datasets

My datasets

Datasets published on HuggingFace for the Machine Learning community.

3 datasets

short-jokes-dataset

HuggingFace

Dataset with jokes in English

Use: Fine-tuning text generation models for humor

231K rows 2 columns 45 MB

View on HuggingFace →

opus100

HuggingFace

Dataset with translations from English to Spanish

Use: Training English-Spanish translation models

1M rows 2 columns 210 MB

View on HuggingFace →

netflix_titles

HuggingFace

Dataset with Netflix movies and series

Use: Netflix catalog analysis and recommendation systems

8.8K rows 12 columns 3.5 MB

View on HuggingFace →

Continue reading

Qwen Image 2.1 on two RTX 3090s: from a private Studio to ZeroGPU

How I tested Qwen Image 2.1 on two RTX 3090s, built a private Gradio Studio behind Tailscale and ported it to Hugging Face ZeroGPU. Results and limits.

How to run tools in parallel in an agent

Learn to decide which tools can run together, limit active operations and match each result to its request, with example...

Tool errors: how an agent recovers and when it must stop

How to communicate tool errors to a model, allow useful recovery and prevent duplicate saves. Contracts, the tool cycle,...

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Gymnasia

LangGraph Deep Researcher

Tau

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maximofn@gmail.com

Machine Learning and AI specialist. I develop solutions with generative AI, intelligent agents and custom models.

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Do you want to watch any talk?

The rice journey: building an agent in a gym and nutrition app

Interactive 3D talk (in Spanish) on the Gymnasia agent: where data lives, from plate to data, tools, duplicates, health limits and how to test it all.

Best practices building agents with Claude Code

Technical talk: skills, subagents, slash commands and MCPs in Claude Code

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Do you want to improve with these tips?

Best practices building agents with Claude Code

Technical talk: skills, subagents, slash commands and MCPs in Claude Code

o1 prompt engineering

Create better prompts for o1 following an example

Memory profiler

See the memory usage of a script

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Use this locally

Hugging Face spaces allow us to run models with very simple demos, but what if the demo breaks? Or if the user deletes it? That's why I've created docker containers with some interesting spaces, to be able to use them locally, whatever happens. In fact, if you click on any project view button, it may take you to a space that doesn't work.