datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ALL-Bench-Leaderboard
🏆 ALL Bench Leaderboard 2026
The only AI benchmark dataset covering LLM · VLM · Agent · Image · Video · Music in a single unified file.
Dataset Summary
ALL Bench Leaderboard aggregates and cross-verifies benchmark scores for 90+ AI models across 6 modalities. Every numerical score is tagged with a confidence level (cross-verified, single-source, or self-reported) and its original source. The dataset is designed for researchers, developers, and… See the full description on the dataset page: https://huggingface.co/datasets/FINAL-Bench/ALL-Bench-Leaderboard.ALL-Bench-Leaderboard
🏆 ALL Bench Leaderboard 2026
The only AI benchmark dataset covering LLM · VLM · Agent · Image · Video · Music in a single unified file.
Dataset Summary
ALL Bench Leaderboard aggregates and cross-verifies benchmark scores for 90+ AI models across 6 modalities. Every numerical score is tagged with a confidence level (cross-verified, single-source, or self-reported) and its original source. The dataset is designed for researchers, developers, and… See the full description on the dataset page: https://huggingface.co/datasets/youssef3146/ALL-Bench-Leaderboard.l4-gpu-llm-benchmark-leaderboard
🚀 Local LLM Serving & Quality Benchmark Leaderboard (NVIDIA L4 24GB)
An exhaustive, reproducible benchmark study measuring real-world serving performance (TTFT, TPOT, throughput, peak VRAM, energy consumption, and cost) alongside rigorous task quality gates (HumanEval+, MMLU-Pro, BFCL v4 tool calling, and RULER needle retrieval) for open-weight LLMs on a single NVIDIA L4 24GB GPU.
📊 Executive Summary & Key Takeaways
⚡ Best Throughput & Coding Workhorse:… See the full description on the dataset page: https://huggingface.co/datasets/mayank-dubey-ai/l4-gpu-llm-benchmark-leaderboard.livecodebench-merging-leaderboard
LiveCodeBench v6 Evaluation Leaderboard
Evaluation results for cross-capability merging of OLMo-3 and OLMo-3.1 RL-Zero models on 454 coding problems.
Evaluation
We followed the evaluation guidelines and prompts from OLMo 3. Best effort was made to ensure reported numbers are as accurate as possible.
Code: pmahdavi/modal-eval
Leaderboard
Model
pass@4
pass@1
Loop Rate
Qwen/Qwen3-4B-Thinking-2507
54.6%
45.4%
0.4%
pmahdavi/Olmo-3-7B-Think-Math-Code… See the full description on the dataset page: https://huggingface.co/datasets/pmahdavi/livecodebench-merging-leaderboard.aime2025-merging-leaderboard
AIME 2025 Evaluation Leaderboard
Evaluation results for 8 models on AIME 2025 with 30 problems and 32 rollouts per problem.
Evaluation
We followed the evaluation guidelines and prompts from OLMo 3. Best effort was made to ensure reported numbers are as accurate as possible.
Code: pmahdavi/modal-eval
Leaderboard
Model
pass@32
avg@32
Loop Rate
allenai/Olmo-3.1-7B-RL-Zero-Math
80.0%
38.0%
2.9%
pmahdavi/Olmo-3.1-7B-Math-Code
73.3%
36.4%
2.4%… See the full description on the dataset page: https://huggingface.co/datasets/pmahdavi/aime2025-merging-leaderboard.