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01araag2 /Evidence_Inference_v2 Evidence Inference 2.0 Dataset Description Links Homepage: Github Pages Repository: Github Paper: arXiv Contact (Original Authors): Jay DeYoung (deyoung.j@northeastern.edu) Contact (Curator): Artur Guimarães (artur.guimas@gmail.com) Dataset Summary The dataset consists of biomedical articles describing randomized control trials (RCTs) that compare multiple treatments. Each of these articles will have multiple questions, or 'prompts'… See the full description on the dataset page: https://huggingface.co/datasets/araag2/Evidence_Inference_v2.textquestion-answering10K<n<100K1 likes179 downloads11mo agoHugging Face02openbenchmarks /OB-Inference-Microtasks Inference Microtasks 29 synthetic microtasks with reference answers across meeting-notes lookup, support-ticket triage, and contract-terms extraction. The public set accompanies the OpenBenchmarks Inference Benchmark, which measures single-user delay on short, deliberately easy structured tasks. Dataset contents Configuration Rows Task contract-terms-extraction 10 Extract commercial terms from a technology contract excerpt. meeting-notes-lookup 13… See the full description on the dataset page: https://huggingface.co/datasets/openbenchmarks/OB-Inference-Microtasks.texttext-generationn<1K1 likes129 downloads20d agoHugging Face03Abdulrahmankalil /enterprise-llm-inference-benchmarks-2026 🚀 Enterprise LLM Inference & Fine-Tuning Benchmarks (2026 Guide) A curated benchmark index and architectural guide evaluating open-source foundation models, real-time inference engines (vLLM vs. TensorRT-LLM), and cloud GPU economics for enterprise deployments. 🧠 Open-Source Foundation Model Benchmarks (RAG & Code Generation) Flagship Evaluation: Top Open-Source LLMs for Enterprise RAG & Code Generation (2026 In-Depth Guide) — Comparing Qwen 2.5 Coder, Llama… See the full description on the dataset page: https://huggingface.co/datasets/Abdulrahmankalil/enterprise-llm-inference-benchmarks-2026.tabulartext-generationn<1K1 likes99 downloads8d agoHugging Face

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