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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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01AbstractPhil /geometric-vocab Research Update 9/13/2025 The MULTITUDE of tests I've ran show that with weighted decay these pentachora are more likely to collapse to zero than retain utility when trained directly. However, when used as a starting point and then only minorly shifted as a trajectory towards a goal, they are more likely to retain full cohesion and even be backtrackable. The constellations show that this is more than a probable solution, it's a likely solution to work. When the anchor [n, 1… See the full description on the dataset page: https://huggingface.co/datasets/AbstractPhil/geometric-vocab.tabularfeature-extraction1M<n<10M1 likes834 downloads1y agoHugging Face02AbstractPhil /geometric-vocab-english-full-a-to-z Update 9/15/2025 I believe this variation may have some genuinely complex potential beyond the alternatives. The lexical organization and capability of the old-style definitions may have impacted the outcome in a more literal and latin-sense than the wordnet lexical variations concatenated. I'll be running some more tests on this one in the coming days to determine if this formula has a different behavioral response than the more "robust" and "anchored" variations. I'm open to any… See the full description on the dataset page: https://huggingface.co/datasets/AbstractPhil/geometric-vocab-english-full-a-to-z.tabulartoken-classification100K<n<1M0 likes159 downloads1y agoHugging Face03AbstractPhil /geometric-vocab-4096dtabular100K<n<1M0 likes112 downloads1y agoHugging Face04AbstractPhil /geometric-vocab-768dhttps://github.com/AbstractEyes/lattice_vocabulary tabular100K<n<1M0 likes58 downloads1y agoHugging Face05AbstractPhil /geometric-vocab-256dhttps://github.com/AbstractEyes/lattice_vocabulary tabular100K<n<1M0 likes50 downloads1y agoHugging Face06AbstractPhil /geometric-vocab-1024dhttps://github.com/AbstractEyes/lattice_vocabulary tabular100K<n<1M0 likes48 downloads1y agoHugging Face07AbstractPhil /geometric-vocab-16dtabular100K<n<1M0 likes39 downloads1y agoHugging Face08AbstractPhil /geometric-vocab-512dhttps://github.com/AbstractEyes/lattice_vocabulary tabular100K<n<1M0 likes36 downloads1y agoHugging Face09AbstractPhil /geometric-vocab-1000dtabular100K<n<1M0 likes32 downloads1y agoHugging Face10AbstractPhil /geometric-vocab-32dhttps://github.com/AbstractEyes/lattice_vocabulary tabular100K<n<1M0 likes31 downloads1y agoHugging Face11AbstractPhil /geometric-vocab-50dtabular100K<n<1M0 likes28 downloads1y agoHugging Face12AbstractPhil /geometric-vocab-64dhttps://github.com/AbstractEyes/lattice_vocabulary tabular100K<n<1M0 likes26 downloads1y agoHugging Face13AbstractPhil /geometric-vocab-100dtabular100K<n<1M0 likes25 downloads1y agoHugging Face14AbstractPhil /geometric-vocab-2048dtabular100K<n<1M0 likes25 downloads1y agoHugging Face15AbstractPhil /geometric-vocab-128dhttps://github.com/AbstractEyes/lattice_vocabulary tabular100K<n<1M0 likes23 downloads1y agoHugging Face16chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754687747_eval_3444_gpqadiamond_geometric_num_prune_attn_6 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754687747_eval_3444_gpqadiamond_geometric_num_prune_attn_6 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 28.45% ± 0.73% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 28.79% 57 198 2 29.80% 59 198 3 26.77% 53 198 tabularn<1K0 likes18 downloads1y agoHugging Face17chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754916227_eval_6a28_math500_geometric_num_prune_ffn_4_run-002 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754916227_eval_6a28_math500_geometric_num_prune_ffn_4_run-002 Precomputed model outputs for evaluation. Evaluation Results MATH500 Accuracy: 38.20% Accuracy Questions Solved Total Questions 38.20% 191 500 tabularn<1K0 likes17 downloads1y agoHugging Face18chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754687453_eval_3444_gpqadiamond_geometric_num_prune_attn_2 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754687453_eval_3444_gpqadiamond_geometric_num_prune_attn_2 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 37.54% ± 1.22% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 35.35% 70 198 2 36.87% 73 198 3 40.40% 80 198 tabularn<1K0 likes16 downloads1y agoHugging Face19chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754914116_eval_3444_gpqadiamond_geometric_num_prune_ffn_5_run-002 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754914116_eval_3444_gpqadiamond_geometric_num_prune_ffn_5_run-002 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 48.99% ± 1.43% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 45.96% 91 198 2 48.99% 97 198 3 52.02% 103 198 tabularn<1K0 likes16 downloads1y agoHugging Face20chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754913992_eval_3444_gpqadiamond_geometric_num_prune_ffn_2_run-002 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754913992_eval_3444_gpqadiamond_geometric_num_prune_ffn_2_run-002 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 59.93% ± 2.16% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 55.05% 109 198 2 60.61% 120 198 3 64.14% 127 198 tabularn<1K0 likes15 downloads1y agoHugging Face21chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754687673_eval_3444_gpqadiamond_geometric_num_prune_attn_5 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754687673_eval_3444_gpqadiamond_geometric_num_prune_attn_5 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 28.79% ± 1.09% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 26.77% 53 198 2 28.28% 56 198 3 31.31% 62 198 tabularn<1K0 likes14 downloads1y agoHugging Face22AbstractPhil /geometric-vocab-1280dtabular100K<n<1M0 likes14 downloads1y agoHugging Face23chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754687895_eval_6a28_math500_geometric_num_prune_attn_3 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754687895_eval_6a28_math500_geometric_num_prune_attn_3 Precomputed model outputs for evaluation. Evaluation Results MATH500 Accuracy: 61.80% Accuracy Questions Solved Total Questions 61.80% 309 500 tabularn<1K0 likes12 downloads1y agoHugging Face24chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754914076_eval_3444_gpqadiamond_geometric_num_prune_ffn_4_run-002 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754914076_eval_3444_gpqadiamond_geometric_num_prune_ffn_4_run-002 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 33.00% ± 1.17% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 31.31% 62 198 2 35.86% 71 198 3 31.82% 63 198 tabularn<1K0 likes12 downloads1y agoHugging Face25chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754916267_eval_6a28_math500_geometric_num_prune_ffn_5_run-002 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754916267_eval_6a28_math500_geometric_num_prune_ffn_5_run-002 Precomputed model outputs for evaluation. Evaluation Results MATH500 Accuracy: 26.20% Accuracy Questions Solved Total Questions 26.20% 131 500 tabularn<1K0 likes12 downloads1y agoHugging Face26chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754688116_eval_6a28_math500_geometric_num_prune_attn_6 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754688116_eval_6a28_math500_geometric_num_prune_attn_6 Precomputed model outputs for evaluation. Evaluation Results MATH500 Accuracy: 38.00% Accuracy Questions Solved Total Questions 38.00% 190 500 tabularn<1K0 likes11 downloads1y agoHugging Face27chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754914036_eval_3444_gpqadiamond_geometric_num_prune_ffn_3_run-002 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754914036_eval_3444_gpqadiamond_geometric_num_prune_ffn_3_run-002 Precomputed model outputs for evaluation. Evaluation Results GPQADiamond Average Accuracy: 28.62% ± 1.79% Number of Runs: 3 Run Accuracy Questions Solved Total Questions 1 24.75% 49 198 2 28.79% 57 198 3 32.32% 64 198 tabularn<1K0 likes11 downloads1y agoHugging Face28chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754916144_eval_6a28_math500_geometric_num_prune_ffn_2_run-002 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754916144_eval_6a28_math500_geometric_num_prune_ffn_2_run-002 Precomputed model outputs for evaluation. Evaluation Results MATH500 Accuracy: 56.00% Accuracy Questions Solved Total Questions 56.00% 280 500 tabularn<1K0 likes11 downloads1y agoHugging Face29chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754916186_eval_6a28_math500_geometric_num_prune_ffn_3_run-002 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754916186_eval_6a28_math500_geometric_num_prune_ffn_3_run-002 Precomputed model outputs for evaluation. Evaluation Results MATH500 Accuracy: 51.80% Accuracy Questions Solved Total Questions 51.80% 259 500 tabularn<1K0 likes11 downloads1y agoHugging Face30chengfu0118 /Unroll-Qwen2.5-7B-Instruct_1754916359_eval_6a28_math500_geometric_num_prune_ffn_6_run-002 chengfu0118/Unroll-Qwen2.5-7B-Instruct_1754916359_eval_6a28_math500_geometric_num_prune_ffn_6_run-002 Precomputed model outputs for evaluation. Evaluation Results MATH500 Accuracy: 23.60% Accuracy Questions Solved Total Questions 23.60% 118 500 tabularn<1K0 likes11 downloads1y agoHugging Face

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