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sasha  updated a Space 27 days ago
SDbiaseval/find-my-butterfly
meg  authored a paper 6 months ago
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
giadap  authored a paper 7 months ago
CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models
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SDbiaseval's activity

davanstrien 
posted an update 5 days ago
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1503
Introducing FineWeb-C 🌐🎓, a community-built dataset for improving language models in ALL languages.

Inspired by FineWeb-Edu the community is labelling the educational quality of texts for many languages.

318 annotators, 32K+ annotations, 12 languages - and growing! 🌍

data-is-better-together/fineweb-c
yjernite 
posted an update 12 days ago
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2035
🇪🇺 Policy Thoughts in the EU AI Act Implementation 🇪🇺

There is a lot to like in the first draft of the EU GPAI Code of Practice, especially as regards transparency requirements. The Systemic Risks part, on the other hand, is concerning for both smaller developers and for external stakeholders.

I wrote more on this topic ahead of the next draft. TLDR: more attention to immediate large-scale risks and to collaborative solutions supported by evidence can help everyone - as long as developers disclose sufficient information about their design choices and deployment contexts.

Full blog here, based on our submitted response with @frimelle and @brunatrevelin :

https://huggingface.co/blog/yjernite/eu-draft-cop-risks#on-the-proposed-taxonomy-of-systemic-risks
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christopher 
posted an update 17 days ago
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1562
The folks at Foursquare released a dataset of 104.5 million places of interest ( foursquare/fsq-os-places) and here's all of them on a plot
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christopher 
posted an update 19 days ago
davanstrien 
posted an update 26 days ago
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486
Increasingly, LLMs are becoming very useful for helping scale annotation tasks, i.e. labelling and filtering. When combined with the structured generation, this can be a very scalable way of doing some pre-annotation without requiring a large team of human annotators.

However, there are quite a few cases where it still doesn't work well. This is a nice paper looking at the limitations of LLM as an annotator for Low Resource Languages: On Limitations of LLM as Annotator for Low Resource Languages (2411.17637).

Humans will still have an important role in the loop to help improve models for all languages (and domains).
sasha 
updated a Space 27 days ago
davanstrien 
posted an update 29 days ago
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2470
First dataset for the new Hugging Face Bluesky community organisation: bluesky-community/one-million-bluesky-posts 🦋

📊 1M public posts from Bluesky's firehose API
🔍 Includes text, metadata, and language predictions
🔬 Perfect to experiment with using ML for Bluesky 🤗

Excited to see people build more open tools for a more open social media platform!
davanstrien 
posted an update 29 days ago
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1348
The Bluesky AT Protocol unlocks exciting possibilities:
- Building custom feeds using ML
- Creating dashboards for data exploration
- Developing custom models for Bluesky
To gather Bluesky resources on the Hub, I've created a community org: https://huggingface.co/bluesky-community

My first rather modest contribution is a dashboard that shows the number of posts every second. Drinking straight from the firehose API 🚰

bluesky-community/bluesky-posts-over-time
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davanstrien 
posted an update about 1 month ago
davanstrien 
posted an update about 2 months ago
davanstrien 
posted an update 3 months ago
davanstrien 
posted an update 3 months ago
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2187
Yesterday, I shared a blog post on generating data for fine-tuning ColPali using the Qwen/Qwen2-VL-7B-Instruct model.

To simplify testing this approach, I created a Space that lets you generate queries from an input document page image: davanstrien/ColPali-Query-Generator

I think there is much room for improvement, but I'm excited about the potential for relatively small VLMs to create synthetic data.

You can read the original blog post that goes into more detail here: https://danielvanstrien.xyz/posts/post-with-code/colpali/2024-09-23-generate_colpali_dataset.html
davanstrien 
posted an update 3 months ago
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3168
ColPali is revolutionizing multimodal retrieval, but could it be even more effective with domain-specific fine-tuning?

Check out my latest blog post, where I guide you through creating a ColPali fine-tuning dataset using Qwen/Qwen2-VL-7B-Instruct to generate queries for a collection of UFO documents sourced from the Internet Archive.

The post covers:
- Introduction to data for ColPali models
- Using Qwen2-VL for retrieval query generation
- Tips for better query generation

Check out the post here:
https://danielvanstrien.xyz/posts/post-with-code/colpali/2024-09-23-generate_colpali_dataset.html

The resulting Hugging Face dataset: davanstrien/ufo-ColPali
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davanstrien 
posted an update 3 months ago
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449
🛸 I'm working on a pipeline for creating domain-specific ColPali fine-tuning datasets using a collection of UFO newsletters from the Internet Archive as a case study.

I will have a full notebook to share on Monday, but you can already take a look at the dataset here: davanstrien/ufo-ColPali
davanstrien 
posted an update 4 months ago
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1690
Almost ready: search for a Hugging Face dataset on the Hub from information in the datasets viewer preview!

Soon, you can find deep-cut datasets even if they don't have a full dataset card (you should still document your datasets!)

You can help improve this project by rating synthetic user search queries for hub datasets.

If you have a Hub login, you can start annotating in Argilla
in < 5 seconds here: https://davanstrien-my-argilla.hf.space/dataset/1100a091-7f3f-4a6e-ad51-4e859abab58f/annotation-mode

I need to do some tidying, but I'll share all the code and in-progress datasets for this soon!
davanstrien 
posted an update 4 months ago
christopher 
posted an update 4 months ago
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1323
4 million chess puzzles
davanstrien 
posted an update 4 months ago
davanstrien 
posted an update 4 months ago
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3161
🚀 Introducing Hugging Face Similar: a Chrome extension to find relevant datasets!

✨ Adds a "Similar Datasets" section to Hugging Face dataset pages
🔍 Recommendations based on dataset READMEs
🏗️ Powered by https://huggingface.co/chromadb and https://huggingface.co/Snowflake embeddings.

You can try it here: https://chromewebstore.google.com/detail/hugging-face-similar/aijelnjllajooinkcpkpbhckbghghpnl?authuser=0&hl=en.

I am very happy to get feedback on whether this could be useful or not 🤗
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davanstrien 
posted an update 5 months ago
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3155
Is your summer reading list still empty? Curious if an LLM can generate a book blurb you'd enjoy and help build a KTO preference dataset at the same time?

A demo using Hugging Face Spaces and Gradio to collect LLM output preferences: davanstrien/would-you-read-it
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