File size: 6,857 Bytes
75f1ee6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 | {
"name": "SimplexTasks-12",
"slug": "simplextasks-12",
"version": "0.1.0",
"seed": 2026,
"task_count": 12,
"real_tasks": [
{
"task_id": "cifar10_softmax",
"task_name": "CIFAR-10 softmax",
"subset": "real",
"n_samples": 10000,
"simplex_dim": 10,
"source_asset": "CIFAR-10",
"predictor": "Frozen ResNet-18 softmax cache",
"redistribution": "derived-only",
"notes": "No raw images are redistributed in this package.",
"available_arrays": [
"U",
"Y",
"class_names",
"label_index"
]
},
{
"task_id": "topics_20ng",
"task_name": "20 Newsgroups topics",
"subset": "real",
"n_samples": 7539,
"simplex_dim": 10,
"source_asset": "20 Newsgroups",
"predictor": "TF-IDF to topic-mixture kNN regressor",
"redistribution": "derived-only",
"notes": "This release exposes only derived simplex arrays, not the raw text corpus.",
"available_arrays": [
"U",
"Y",
"doc_index"
]
},
{
"task_id": "samson_unmixing",
"task_name": "Samson hyperspectral unmixing",
"subset": "real",
"n_samples": 9025,
"simplex_dim": 3,
"source_asset": "Samson ROI hyperspectral benchmark",
"predictor": "NMF abundance estimator",
"redistribution": "source-cited",
"notes": "The public bundle did not ship an explicit license file; keep attribution with any downstream reuse.",
"available_arrays": [
"U",
"Y",
"endmember_names",
"endmembers",
"image_shape",
"pixels"
]
},
{
"task_id": "pbmc3k_pseudobulk",
"task_name": "PBMC3K pseudobulk deconvolution",
"subset": "real",
"n_samples": 5000,
"simplex_dim": 8,
"source_asset": "PBMC3K single-cell reference",
"predictor": "NNLS deconvolution from pseudobulk mixtures",
"redistribution": "derived-only",
"notes": "This package exports pseudobulk-derived arrays and signatures rather than the raw single-cell matrix.",
"available_arrays": [
"U",
"Y",
"bulk_expression",
"cell_type_names",
"gene_names",
"signature"
]
},
{
"task_id": "utkface_age_ldl",
"task_name": "UTKFace age label distributions",
"subset": "real",
"n_samples": 23687,
"simplex_dim": 10,
"source_asset": "UTKFace aligned-and-cropped images",
"predictor": "Thumbnail feature PCA+kNN age-distribution regressor",
"redistribution": "derived-only",
"notes": "The package omits raw face images and keeps only derived features and simplex arrays.",
"available_arrays": [
"U",
"Y",
"age",
"image_features"
]
},
{
"task_id": "affectivetext_emotions",
"task_name": "SemEval AffectiveText emotions",
"subset": "real",
"n_samples": 1000,
"simplex_dim": 6,
"source_asset": "SemEval-2007 Task 14 AffectiveText",
"predictor": "Frozen zero-shot emotion scorer",
"redistribution": "derived-only",
"notes": "The package omits raw headlines and raw API responses, and keeps only derived score arrays.",
"available_arrays": [
"U",
"Y",
"emotion_names",
"gold_raw_scores",
"instance_id",
"pred_raw_scores"
]
}
],
"synthetic_tasks": [
{
"task_id": "d1_homogeneous",
"task_name": "d1 homogeneous",
"subset": "synthetic",
"n_samples": 7500,
"simplex_dim": 3,
"source_asset": "Synthetic DGP",
"predictor": "Oracle mean predictor from the configured DGP",
"redistribution": "open",
"regime_label": "Homogeneous negative control",
"config_file": "configs/synthetic/d1_homogeneous.yaml",
"seed": 2026,
"available_arrays": [
"R",
"U",
"X",
"Y",
"sigma_true",
"split"
]
},
{
"task_id": "d2_pure_scale",
"task_name": "d2 pure scale",
"subset": "synthetic",
"n_samples": 6250,
"simplex_dim": 3,
"source_asset": "Synthetic DGP",
"predictor": "Oracle mean predictor from the configured DGP",
"redistribution": "open",
"regime_label": "Smooth scale heterogeneity",
"config_file": "configs/synthetic/d2_pure_scale.yaml",
"seed": 2026,
"available_arrays": [
"R",
"U",
"X",
"Y",
"sigma_true",
"split"
]
},
{
"task_id": "d3_discrete_groups_aligned",
"task_name": "d3 discrete groups aligned",
"subset": "synthetic",
"n_samples": 6250,
"simplex_dim": 10,
"source_asset": "Synthetic DGP",
"predictor": "Oracle mean predictor from the configured DGP",
"redistribution": "open",
"regime_label": "Aligned discrete groups",
"config_file": "configs/synthetic/d3_discrete_groups_aligned.yaml",
"seed": 2026,
"available_arrays": [
"R",
"U",
"X",
"Y",
"sigma_true",
"split"
]
},
{
"task_id": "d4_model_bias",
"task_name": "d4 model bias",
"subset": "synthetic",
"n_samples": 6250,
"simplex_dim": 3,
"source_asset": "Synthetic DGP",
"predictor": "Oracle mean predictor from the configured DGP",
"redistribution": "open",
"regime_label": "Bias-type heterogeneity",
"config_file": "configs/synthetic/d4_model_bias.yaml",
"seed": 2026,
"available_arrays": [
"R",
"U",
"X",
"Y",
"sigma_true",
"split"
]
},
{
"task_id": "d5_heavy_tail",
"task_name": "d5 heavy tail",
"subset": "synthetic",
"n_samples": 6250,
"simplex_dim": 3,
"source_asset": "Synthetic DGP",
"predictor": "Oracle mean predictor from the configured DGP",
"redistribution": "open",
"regime_label": "Heavy-tail robustness",
"config_file": "configs/synthetic/d5_heavy_tail.yaml",
"seed": 2026,
"available_arrays": [
"R",
"U",
"X",
"Y",
"sigma_true",
"split"
]
},
{
"task_id": "d6_high_k",
"task_name": "d6 high k",
"subset": "synthetic",
"n_samples": 17500,
"simplex_dim": 50,
"source_asset": "Synthetic DGP",
"predictor": "Oracle mean predictor from the configured DGP",
"redistribution": "open",
"regime_label": "High-dimensional simplex",
"config_file": "configs/synthetic/d6_high_k.yaml",
"seed": 2026,
"available_arrays": [
"R",
"U",
"X",
"Y",
"sigma_true",
"split"
]
}
]
} |