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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01mlfoundations-dev /phi_27K_qwq_3K_lambda_0.9text10K<n<100K0 likes51 downloads1y agoHugging Face02BluefinTuna /phi2_rejection_sampling Phi-2 Rejection Sampling The Phi-2 Rejection Sampling dataset is an English-language dataset consisting of 10 prompts and responses generated by Phi-2 and graded by the OpenAssistant's reward model. Dataset Details Dataset Description The Phi-2 Rejection Sampling dataset is a small (n = 10) English-language dataset. This dataset was created with the purpose was to demonstrate a feedback pipeline where in which Phi-2 would interact with the OpenAssistant reward… See the full description on the dataset page: https://huggingface.co/datasets/BluefinTuna/phi2_rejection_sampling.textquestion-answeringn<1K0 likes38 downloads3y agoHugging Face03DUAL-GPO-2 /phi2-i0-v2textn<1K0 likes30 downloads2y agoHugging Face04CerebralAI /ActionRoutes_Phi2_ZeroShottext1K<n<10K0 likes27 downloads3y agoHugging Face05saxenaindresh681 /microsoft-phi2-mental-healthtext1K<n<10K4 likes23 downloads2y agoHugging Face06mlfoundations-dev /phi_24K_qwq_6K_eval_2e29 mlfoundations-dev/phi_24K_qwq_6K_eval_2e29 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces AIME25 HLE LiveCodeBenchv5 Accuracy 35.0 66.2 80.8 8.0 41.9 46.6 1.2 3.2 2.0 27.7 3.6 0.5 AIME24 Average Accuracy: 35.00% ± 2.22% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 36.67% 11 30 2… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/phi_24K_qwq_6K_eval_2e29.tabular10K<n<100K0 likes23 downloads1y agoHugging Face07roborovski /phi-2-labeled Dataset Card for "phi-1" More Information needed tabular10K<n<100K1 likes21 downloads3y agoHugging Face08ChunB1 /phi-2-symbol-100k-en-512text10K<n<100K0 likes21 downloads2y agoHugging Face09neginr /phi_27K_qwq_3Ktext10K<n<100K0 likes21 downloads1y agoHugging Face10prsdm /MedQuad-phi2-1ktext1K<n<10K2 likes20 downloads3y agoHugging Face11ChunB1 /phi-2-symbol-100k-en-2048text10K<n<100K0 likes17 downloads2y agoHugging Face12onepaneai /phi2-spl-evaluationtabularn<1K0 likes17 downloads2y agoHugging Face13roborovski /phi-2-embeddings Dataset Card for "phi-2-embeddings" More Information needed tabular10K<n<100K0 likes16 downloads3y agoHugging Face14argilla /10k_prompts_SPIN_iter1_phi2_top Dataset Card for "10k_prompts_SPIN_iter1_phi2_top" More Information needed text1K<n<10K0 likes15 downloads3y agoHugging Face15argilla /10k_prompts_SPIN_iter0_phi2_top Dataset Card for "10k_prompts_SPIN_iter0_phi2_top" More Information needed text1K<n<10K0 likes14 downloads3y agoHugging Face16mahdi-ranjbar /phi2-alignment Dataset Card for Phi-2 Alignment Dataset Description Creator: Mahdi Ranjbar Notebook: Colab Notebook Dataset Summary This dataset was developed for the alignment internship take-home assignment with the goal of assessing alignment across three dimensions: Helpfulness, Honesty, and Harmlessness (3H). I crafted 10 prompts covering various tasks and generated 8 answers for each prompt using the new Microsoft Phi-2 model. Subsequently, I employed the Open… See the full description on the dataset page: https://huggingface.co/datasets/mahdi-ranjbar/phi2-alignment.textn<1K0 likes12 downloads3y agoHugging Face17neginr /phi_27K_qwq_3K_lambda_0.9text10K<n<100K0 likes12 downloads1y agoHugging Face18AlanYky /phi-2-symbol-100ktext100K<n<1M0 likes10 downloads2y agoHugging Face19DataScientist1122 /PHI2-MEDQUAD-16407-CLtext10K<n<100K1 likes10 downloads2y agoHugging Face20Harit10 /phi2-PIItextn<1K0 likes9 downloads3y agoHugging Face21CerebralAI /ActionRoutes_Phi2_FewShottext1K<n<10K0 likes8 downloads3y agoHugging Face22ChunB1 /phi-2-symbol-100k-entext10K<n<100K0 likes8 downloads2y agoHugging Face23neginr /phi_24K_qwq_6Ktext10K<n<100K0 likes8 downloads1y agoHugging Face24mlfoundations-dev /phi_27K_qwq_3K_eval_2e29 mlfoundations-dev/phi_27K_qwq_3K_eval_2e29 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces AIME25 HLE LiveCodeBenchv5 Accuracy 31.3 57.0 63.4 7.4 42.6 47.1 1.2 0.5 0.1 23.7 2.9 0.6 AIME24 Average Accuracy: 31.33% ± 1.26% Number of Runs: 10 Run Accuracy Questions Solved Total Questions 1 30.00% 9 30 2 26.67%… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/phi_27K_qwq_3K_eval_2e29.tabular10K<n<100K0 likes8 downloads1y agoHugging Face25DataScientist1122 /PHI2-MEDQUAD-16407text10K<n<100K0 likes6 downloads2y agoHugging Face26mirajbhandari /phi2_finetune_datasettextn<1K0 likes5 downloads3y agoHugging Face27CerebralAI /ActionRoutes_Phi2_Instructtext1K<n<10K0 likes5 downloads3y agoHugging Face28vidula123 /phi2textn<1K0 likes5 downloads2y agoHugging Face29armendz /phi2-tool-selectiontextn<1K0 likes5 downloads2y agoHugging Face30mahiatlinux /phi-2_DEVELOPER-CREDITS_FOR-CUSTOMtextn<1K1 likes4 downloads3y agoHugging Face

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