datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
QA-deepseek-r1-distill-llama-70b
DeepSeek-R1-LLama-70B Q&A Dataset
This repository contains a curated set of 484 questions and answers generated by the DeepSeek-R1-LLama-70B model. The main goal is to evaluate the quality, coherence, and factual correctness of the model’s responses under various scenarios. Before getting excited about it, let's be realistic—large language models can produce both impressive and abysmal results. This dataset is meant to help you figure out which side of that spectrum… See the full description on the dataset page: https://huggingface.co/datasets/MedSalim/QA-deepseek-r1-distill-llama-70b.Magpie-Reasoning-V2-250K-CoT-Deepseek-R1-Llama-70Bmistralpersian-alpaca-Llama3-70Bllama-70B_baseline_new_0.7_0.05_sentencesLlama_3_70b_biologyMagpie-Reasoning-V2-250K-CoT-Deepseek-R1-Llama-70B-filtered-mistralLlama_3_70b_mathllama_3p3_70b_math_train_gpt4o_verifyllama2-70B-7B-all_atten_0.7_0.05_wiki_sentencesLlama_3.1_70B_1000_alltempcombined_math500_llama70b_oracle_difficultyllama2-70B_self_0.6_0.05_wiki_sentencesLlama-3.1-70B-Turbotgi_energy_duration_llama8B_70BLlama_3_70b_physics70bcombined_mmlu_llama70b_oracle_difficultycombined_gpqa_llama70b_oracle_difficultyllama3-70B_self_0.6_0.05Llama_3_70b_CS70btrainllama2-70B_self_0.7_0.05_wiki_sentencesllama2-70B_self_0.7_0.03_wiki_sentencesllama3-70B-8B_ours_0.6_0.03_sentencesllama3-70B-8B_ours_0.7_0.03_sentencesllama3-70B-8B_ours_0.6_0.05_sentencesllama3-70B-8B_ours_0.7_0.05_sentencesllama3-70B-all_atten_0.7_0.03_wiki_sentencesllama3-70B-all_atten_0.7_0.005_wiki_sentencesllama3-70B-8B_ours_0.7_0.01_sentences