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cfahlgren1 
posted an update 28 days ago
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351
I ran the Anthropic Misalignment Framework for a few top models and added it to a dataset: cfahlgren1/anthropic-agentic-misalignment-results

You can read the reasoning traces of the models trying to blackmail the user and perform other actions. It's very interesting!!
cfahlgren1 
posted an update about 2 months ago
cfahlgren1 
posted an update 2 months ago
cfahlgren1 
authored a paper 6 months ago
cfahlgren1 
posted an update 6 months ago
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2343
If you haven't seen yet, we just released Inference Providers 🔀

> 4 new serverless inference providers on the Hub 🤯
> Use your HF API key or personal key with all providers 🔑
> Chat with Deepseek R1, V3, and more on HF Hub 🐋
> We support Sambanova, TogetherAI, Replicate, and Fal.ai 💪

Best of all, we don't charge any markup on top of the provider 🫰 Have you tried it out yet? HF Pro accounts get $2 of free usage for the provider inference.
cfahlgren1 
posted an update 6 months ago
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1780
Wow, I just added Langfuse tracing to the Deepseek Artifacts app and it's really nice 🔥

It allows me to visualize and track more things along with the cfahlgren1/react-code-instructions dataset.

It was just added as a one click Docker Space template, so it's super easy to self host 💪
cfahlgren1 
posted an update 7 months ago
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2267
You'll notice the AI in the SQL Console is much better at working with chatml conversations:

Here's example of unnesting the cfahlgren1/react-code-instructions in less than 10 seconds by asking it. Check it out here: cfahlgren1/react-code-instructions

- "show me the average assistant response length"
- "extract user, system, and assistant messages into separate columns"

It's super easy to work with conversational datasets now with natural language 🗣️





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cfahlgren1 
posted an update 7 months ago
cfahlgren1 
posted an update 8 months ago
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1940
You can just ask things 🗣️

"show me messages in the coding category that are in the top 10% of reward model scores"

Download really high quality instructions from the Llama3.1 405B synthetic dataset 🔥

argilla/magpie-ultra-v1.0
cfahlgren1 
posted an update 8 months ago
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3057
We just dropped an LLM inside the SQL Console 🤯

The amazing, new Qwen/Qwen2.5-Coder-32B-Instruct model can now write SQL for any Hugging Face dataset ✨

It's 2025, you shouldn't be hand writing SQL! This is a big step in making it where anyone can do in depth analysis on a dataset. Let us know what you think 🤗
cfahlgren1 
posted an update 8 months ago
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observers 🔭 - automatically log all OpenAI compatible requests to a dataset💽

• supports any OpenAI compatible endpoint 💪
• supports DuckDB, Hugging Face Datasets, and Argilla as stores

> pip install observers

No complex framework. Just a few lines of code to start sending your traces somewhere. Let us know what you think! @davidberenstein1957 and I will continue iterating!

Here's an example dataset that was logged to Hugging Face from Ollama: cfahlgren1/llama-3.1-awesome-chatgpt-prompts
cfahlgren1 
posted an update 8 months ago
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You can create charts, leaderboards, and filters on top of any Hugging Face dataset in less than a minute

• ASCII Bar Charts 📊
• Powered by DuckDB WASM ⚡
• Download results to Parquet 💽
• Embed and Share results with friends 📬

Do you have any interesting queries?
cfahlgren1 
posted an update 8 months ago
cfahlgren1 
posted an update 8 months ago
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3259
You can clean and format datasets entirely in the browser with a few lines of SQL.

In this post, I replicate the process @mlabonne used to clean the new microsoft/orca-agentinstruct-1M-v1 dataset.

The cleaning process consists of:
- Joining the separate splits together / add split column
- Converting string messages into list of structs
- Removing empty system prompts

https://huggingface.co/blog/cfahlgren1/the-beginners-guide-to-cleaning-a-dataset

Here's his new cleaned dataset: mlabonne/orca-agentinstruct-1M-v1-cleaned
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cfahlgren1 
posted an update 8 months ago
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2253
Why use Google Drive when you can have:

• Free storage with generous limits🆓
• Dataset Viewer (Sorting, Filtering, FTS) 🔍
• Third Party Library Support
• SQL Console 🟧
• Security 🔒
• Community, Reach, and Visibility 📈

It's a no brainer!

Check out our post on what you get instantly out of the box when you create a dataset.
https://huggingface.co/blog/researcher-dataset-sharing
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cfahlgren1 
posted an update 9 months ago
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1164
If you are like me, I like to find up and coming datasets and spaces before everyone else.

I made a trending repo space cfahlgren1/trending-repos where it shows:

- New up and coming Spaces in the last day
- New up and coming Datasets in the last 2 weeks

It's a really good way to find some new gems before they become popular. For example, someone is working on a way to dynamically create assets inside a video game here: gptcall/AI-Game-Creator
cfahlgren1 
posted an update 10 months ago
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Have you tried the new SQL Console yet?

Would love to know any queries you've tried or general feedback! If you haven't go try it out and let us know 🤗

If you have some interesting queries feel free to share the URLs as well!
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cfahlgren1 
posted an update 11 months ago
cfahlgren1 
posted an update 12 months ago
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1057
You can now embed your heatmap anywhere with a simple change :)

Currently just supports model creation! You can duplicate the space and create your own here:

cfahlgren1/my-heatmap
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cfahlgren1 
updated a model over 1 year ago