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Mohamed Rashad PRO

MohamedRashad
earlymoon's profile picture AhmedAshrafMarzouk's profile picture U1PNS's profile picture
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AI & ML interests

Computer Vision, Robotics, Natural Language Processing

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reacted to their post with 🔥 about 23 hours ago
Today is a big day for the Arabic Language, We have https://huggingface.co/spaces/Navid-AI/The-Arabic-Rag-Leaderboard, an Update for https://huggingface.co/spaces/OALL/Open-Arabic-LLM-Leaderboard and the release of https://huggingface.co/spaces/atlasia/darija-chatbot-arena All of this announcements was under 12 hours of time 🤯
posted an update 1 day ago
Today is a big day for the Arabic Language, We have https://huggingface.co/spaces/Navid-AI/The-Arabic-Rag-Leaderboard, an Update for https://huggingface.co/spaces/OALL/Open-Arabic-LLM-Leaderboard and the release of https://huggingface.co/spaces/atlasia/darija-chatbot-arena All of this announcements was under 12 hours of time 🤯
reacted to lewtun's post with ❤️ 1 day ago
Introducing OpenR1-Math-220k! https://huggingface.co/datasets/open-r1/OpenR1-Math-220k The community has been busy distilling DeepSeek-R1 from inference providers, but we decided to have a go at doing it ourselves from scratch 💪 What’s new compared to existing reasoning datasets? ♾ Based on https://huggingface.co/datasets/AI-MO/NuminaMath-1.5: we focus on math reasoning traces and generate answers for problems in NuminaMath 1.5, an improved version of the popular NuminaMath-CoT dataset. 🐳 800k R1 reasoning traces: We generate two answers for 400k problems using DeepSeek R1. The filtered dataset contains 220k problems with correct reasoning traces. 📀 512 H100s running locally: Instead of relying on an API, we leverage vLLM and SGLang to run generations locally on our science cluster, generating 180k reasoning traces per day. ⏳ Automated filtering: We apply Math Verify to only retain problems with at least one correct answer. We also leverage Llama3.3-70B-Instruct as a judge to retrieve more correct examples (e.g for cases with malformed answers that can’t be verified with a rules-based parser) 📊 We match the performance of DeepSeek-Distill-Qwen-7B by finetuning Qwen-7B-Math-Instruct on our dataset. 🔎 Read our blog post for all the nitty gritty details: https://huggingface.co/blog/open-r1/update-2
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Arabic RAG Leaderboard: A Comprehensive Framework for Evaluating Arabic Language Retrieval Systems

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