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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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01fblgit /simple-math Simple Math: 2+2=4 -1=3 (LoLo: Learning Only Logical Operations) Just like my teacher gave me homework, i thought maybe we can also add some of these basics on the trainings of our models. It was created with very simple code that is in the repo, if you add more complex operations and so.. please share the code :D thank you Current Code Version: 20240127.fblgit (A modification over @win10 for progressive and DPO operation) Does it Works? 34BEAGLES… See the full description on the dataset page: https://huggingface.co/datasets/fblgit/simple-math.texttext-generation100K<n<1M19 likes619 downloads3y agoHugging Face02fblgit /simple-math-DPO Simple Math: 2+2=4 -1=3 (LoLo: Learning Only Logical Operations) DPO Pairs Just like my teacher gave me homework, i thought maybe we can also add some of these basics on the trainings of our models. It was created with very simple code that is in the repo, if you add more complex operations and so.. please share the code :D thank you Current Code Version: 20240127.fblgit (A modification over @win10 for progressive and DPO operation) Versions 27.01.24 First DPO… See the full description on the dataset page: https://huggingface.co/datasets/fblgit/simple-math-DPO.textreinforcement-learning100K<n<1M19 likes89 downloads2y agoHugging Face03fabriziosalmi /simplemath-ita-sparse Dataset Card for "simplemath-ita-sparse" More Information needed text10M<n<100M1 likes70 downloads2y agoHugging Face04therem /simple-math-qwen-7bSimple tasks from ProCreations/SimpleMath solved with Qwen/Qwen2.5-Math-7B-Instruct text100K<n<1M0 likes60 downloads1y agoHugging Face05shb777 /simple-math-steps-7MSimple math expression solving with 3-6 operands and +-*/%^ operators, small powers and numbers between 1,1000 as operands. A lot of the entries are incorrect, as it doesnt follow the BODMAS rule. I discovered the 10GB GLM dataset after this so this is abandoned. The initial idea was to do a GLM type experiment. Evaluate a model on word math problems Train on equations Check word math problem performance The idea is to check if training on numbers only improves number understanding /… See the full description on the dataset page: https://huggingface.co/datasets/shb777/simple-math-steps-7M.textquestion-answering1M<n<10M2 likes46 downloads1y agoHugging Face06jamesjje /DAPO-Math-17k_simple_jjetext1M<n<10M0 likes35 downloads1y agoHugging Face07joyfine /router_PEFT_data_Math_simple_prompt_Qwen3-1.7Btext1K<n<10K0 likes22 downloads9mo agoHugging Face08YeonwooSung /simple-mathtext10K<n<100K0 likes18 downloads2y agoHugging Face09thegrey07 /simplemath-400ktabular100K<n<1M0 likes18 downloads8mo agoHugging Face10unieai /u1-simple-math-2502text100K<n<1M0 likes15 downloads2y agoHugging Face11chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754915847_eval_6a28_math500_simple-avg_num_prune_ffn_5_run-002 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754915847_eval_6a28_math500_simple-avg_num_prune_ffn_5_run-002 Precomputed model outputs for evaluation. Evaluation Results MATH500 Accuracy: 30.00% Accuracy Questions Solved Total Questions 30.00% 150 500 tabularn<1K0 likes15 downloads1y agoHugging Face12mrinaldi /simple_math_benchmark_multilingualtext100K<n<1M0 likes15 downloads10mo agoHugging Face13joyfine /router_PEFT_data_Math_simple_prompt_Qwen3-8Btext1K<n<10K0 likes15 downloads9mo agoHugging Face14vjdevane /simple-math-customtext100K<n<1M0 likes14 downloads1y agoHugging Face15fabriziosalmi /simplemath-ita-sequential Dataset Card for "simplemath-ita-sequential" More Information needed text1M<n<10M1 likes13 downloads2y agoHugging Face16chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754915889_eval_6a28_math500_simple-avg_num_prune_ffn_6_run-002 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754915889_eval_6a28_math500_simple-avg_num_prune_ffn_6_run-002 Precomputed model outputs for evaluation. Evaluation Results MATH500 Accuracy: 4.00% Accuracy Questions Solved Total Questions 4.00% 20 500 tabularn<1K0 likes11 downloads1y agoHugging Face17chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754915759_eval_6a28_math500_simple-avg_num_prune_ffn_3_run-002 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754915759_eval_6a28_math500_simple-avg_num_prune_ffn_3_run-002 Precomputed model outputs for evaluation. Evaluation Results MATH500 Accuracy: 42.20% Accuracy Questions Solved Total Questions 42.20% 211 500 tabularn<1K0 likes10 downloads1y agoHugging Face18joyfine /router_PEFT_data_Math_simple_prompt_Qwen3-14Btext1K<n<10K0 likes10 downloads9mo agoHugging Face19rasdani /simple-math-Qwen-1.5B-rolloutstabularn<1K0 likes9 downloads1y agoHugging Face20chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754915716_eval_6a28_math500_simple-avg_num_prune_ffn_2_run-002 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754915716_eval_6a28_math500_simple-avg_num_prune_ffn_2_run-002 Precomputed model outputs for evaluation. Evaluation Results MATH500 Accuracy: 46.80% Accuracy Questions Solved Total Questions 46.80% 234 500 tabularn<1K0 likes9 downloads1y agoHugging Face21chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754915801_eval_6a28_math500_simple-avg_num_prune_ffn_4_run-002 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754915801_eval_6a28_math500_simple-avg_num_prune_ffn_4_run-002 Precomputed model outputs for evaluation. Evaluation Results MATH500 Accuracy: 38.60% Accuracy Questions Solved Total Questions 38.60% 193 500 tabularn<1K0 likes9 downloads1y agoHugging Face22joyfine /router_PEFT_data_Math_simple_prompt_Qwen3-0.6Btext1K<n<10K0 likes9 downloads9mo agoHugging Face23joyfine /router_PEFT_data_Math_simple_prompt_Qwen3-4Btext1K<n<10K0 likes9 downloads9mo agoHugging Face24zhaojiyuan /math-simple-images-v2image100K<n<1M1 likes8 downloads11mo agoHugging Face25thegrey07 /simplemathtabular100K<n<1M0 likes8 downloads8mo agoHugging Face26yirenc /simpleMathtext1K<n<10K0 likes7 downloads2y agoHugging Face27joyfine /router_PEFT_data_Math_simple_prompt_Qwen3-32Btext1K<n<10K0 likes7 downloads9mo agoHugging Face28Ba2han /Simple_Math-Turkishtext1M<n<10M0 likes4 downloads7mo agoHugging Face

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