2A2I Legacy Models & Datasets

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Arabic LLMs & Diffusion Models

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davanstrienย 
posted an update 5 days ago
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Introducing FineWeb-C ๐ŸŒ๐ŸŽ“, 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! ๐ŸŒ

data-is-better-together/fineweb-c
alielfilali01ย 
posted an update 12 days ago
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3301
Unpopular opinion: Open Source takes courage to do !

Not everyone is brave enough to release what they have done (the way they've done it) to the wild to be judged !
It really requires a high level of "knowing wth are you doing" ! It's kind of a super power !

Cheers to the heroes here who see this!
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alielfilali01ย 
posted an update 16 days ago
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Apparently i forgot to put this here !

Well, this is a bit late but consider given our recent blog a read if you are interested in Evaluation.

You don't have to be into Arabic NLP in order to read it, the main contribution we are introducing is a new evaluation measure for NLG. We made the fisrt application of this measure on Arabic for now and we will be working with colleagues from the community to expand it to other languages.

Blog:
Rethinking LLM Evaluation with 3C3H: AraGen Benchmark and Leaderboard
https://huggingface.co/blog/leaderboard-3c3h-aragen

Space:
inceptionai/AraGen-Leaderboard

Give it a read and let me know your thoughts ๐Ÿค—
davanstrienย 
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).
davanstrienย 
posted an update 29 days ago
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2471
First dataset for the new Hugging Face Bluesky community organisation: bluesky-community/one-million-bluesky-posts ๐Ÿฆ‹

๐Ÿ“Š 1M public posts from Bluesky's firehose API
๐Ÿ” Includes text, metadata, and language predictions
๐Ÿ”ฌ Perfect to experiment with using ML for Bluesky ๐Ÿค—

Excited to see people build more open tools for a more open social media platform!
davanstrienย 
posted an update 30 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 ๐Ÿšฐ

bluesky-community/bluesky-posts-over-time
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davanstrienย 
posted an update about 1 month ago
alielfilali01ย 
posted an update about 1 month ago
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2175
Unpopular opinion : o1-preview is more stupid than 4o and Qwen2.5-72B-Instruct in extremely underrated !
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davanstrienย 
posted an update about 2 months ago
alielfilali01ย 
posted an update 2 months ago
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1699
I feel like this incredible resource hasn't gotten the attention it deserves in the community!

@clefourrier and generally the HuggingFace evaluation team put together a fantastic guidebook covering a lot about ๐—˜๐—ฉ๐—”๐—Ÿ๐—จ๐—”๐—ง๐—œ๐—ข๐—ก from basics to advanced tips.

link : https://github.com/huggingface/evaluation-guidebook

I havenโ€™t finished it yet, but i'am enjoying every piece of it so far. Huge thanks @clefourrier and the team for this invaluable resource !
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alielfilali01ย 
posted an update 3 months ago
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Why nobdoy is talking about the new training corpus released by MBZUAI today.

TxT360 is +15 Trillion tokens corpus outperforming FineWeb on several metrics. Ablation studies were done up to 1T tokens.

Read blog here : LLM360/TxT360
Dataset : LLM360/TxT360
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alielfilali01ย 
posted an update 3 months ago
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2569
Don't you think we should add a tag "Evaluation" for datasets that are meant to be benchmarks and not for training ?

At least, when someone is collecting a group of datasets from an organization or let's say the whole hub can filter based on that tag and avoid somehow contaminating their "training" data.
davanstrienย 
posted an update 3 months ago
alielfilali01ย 
posted an update 3 months ago
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868
We need a fork feature for models and datasets similar to "Duplicate this space" in spaces ! Don't you think ?

Sometimes you just want to save something in your profile privately and work on it later without the hassle of "load_.../push_to_hub" in a code file.

I know this is super lazy ๐Ÿ˜… But it is what it is ...

tag : @victor
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alielfilali01ย 
posted an update 3 months ago
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1201
@mariagrandury (SomosNLP) and team releases the Spanish leaderboard !!!
It is impressive how they choosed to design this leaderboard and how it support 4 languages (all part of Spain ofc).

Check it out from this link :
la-leaderboard/la-leaderboard
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davanstrienย 
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
painย 
posted an update 3 months ago
davanstrienย 
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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davanstrienย 
posted an update 3 months ago
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๐Ÿ›ธ 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
alielfilali01ย 
posted an update 3 months ago