sample_id float64 0 99 | quadrant large_stringclasses 4
values | a large_stringlengths 3 13 | b large_stringlengths 3 12 | contrast1 large_stringlengths 3 13 | contrast2 large_stringlengths 3 13 | acc_pair float64 0.64 0.98 | acc_pair_cvcl float64 0.41 0.82 | d_perc float64 0.14 0.89 | d_perc_cvcl float64 0.04 0.63 | d_sem float64 0.07 0.9 | d_sem_orig float64 0.13 0.89 | d_sem_paper float64 0.13 0.89 | d_things float64 0.06 0.92 ⌀ | d_things_scout float64 0.06 0.92 ⌀ | d_things_strict float64 0.06 0.92 ⌀ | hsj_n int64 0 217 | d_hsj_raw float64 0.49 1 ⌀ | d_hsj float64 0.49 1 ⌀ | d_hsj_ge1 float64 0.49 1 ⌀ | d_hsj_ge30 float64 0.49 0.99 ⌀ | hsj_n_origmap int64 0 217 | d_hsj_raw_origmap float64 0.49 1 ⌀ | d_hsj_origmap float64 0.49 1 ⌀ | encoder large_stringclasses 1
value | learner large_stringclasses 1
value | encoder_cvcl large_stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
50 | Q3 | apple | cup | crocodile | keyboard | 0.9262 | 0.7269 | 0.716807 | 0.340738 | 0.578947 | 0.578947 | 0.578947 | 0.548875 | 0.548875 | 0.548875 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
25 | Q2 | apple | tractor | mountain | squirrel | 0.8551 | 0.6793 | 0.799385 | 0.626777 | 0.619048 | 0.619048 | 0.619048 | 0.818622 | 0.818622 | 0.818622 | 2 | 1 | null | 1 | null | 2 | 1 | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
51 | Q3 | aquarium_fish | elephant | cup | willow_tree | 0.8367 | 0.654 | 0.792498 | 0.130259 | 0.25 | 0.25 | 0.25 | 0.192118 | 0.192118 | null | 141 | 0.836879 | 0.836879 | 0.836879 | 0.836879 | 185 | 0.854054 | 0.854054 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
75 | Q4 | baby | television | lion | chair | 0.9029 | 0.6958 | 0.671261 | 0.466539 | 0.636364 | 0.619048 | 0.619048 | 0.842468 | 0.842468 | 0.842468 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
26 | Q2 | bear | bottle | dolphin | mushroom | 0.8838 | 0.63 | 0.736696 | 0.376055 | 0.636364 | 0.636364 | 0.636364 | 0.908117 | 0.908117 | 0.908117 | 100 | 0.92 | 0.92 | 0.92 | 0.92 | 100 | 0.92 | 0.92 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
76 | Q4 | beaver | cloud | bus | elephant | 0.8544 | 0.728 | 0.62022 | 0.273625 | 0.809524 | 0.764706 | 0.764706 | 0.636266 | 0.636266 | 0.636266 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
0 | Q1 | beaver | ray | cloud | possum | 0.8289 | 0.6004 | 0.515666 | 0.164203 | 0.333333 | 0.578947 | 0.578947 | null | null | 0.137114 | 21 | 0.619048 | 0.619048 | 0.619048 | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
77 | Q4 | beaver | snail | chimpanzee | television | 0.94 | 0.7269 | 0.474777 | 0.044225 | 0.416667 | 0.809524 | 0.809524 | 0.145677 | 0.145677 | 0.145677 | 18 | 0.722222 | 0.722222 | 0.722222 | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
1 | Q1 | bed | chair | cockroach | poppy | 0.9709 | 0.8249 | 0.614322 | 0.200193 | 0.2 | 0.2 | 0.2 | 0.234862 | 0.234862 | 0.234862 | 100 | 0.49 | 0.49 | 0.49 | 0.49 | 100 | 0.49 | 0.49 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
52 | Q3 | bed | man | tiger | leopard | 0.7589 | 0.6098 | 0.748537 | 0.229606 | 0.578947 | 0.578947 | 0.578947 | 0.586261 | 0.586261 | 0.586261 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
27 | Q2 | bed | sea | butterfly | crab | 0.8522 | 0.62 | 0.775448 | 0.349579 | 0.733333 | 0.733333 | 0.733333 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
2 | Q1 | bee | beetle | otter | tulip | 0.8933 | 0.548 | 0.398431 | 0.080495 | 0.130435 | 0.130435 | 0.130435 | 0.079821 | 0.079821 | 0.079821 | 193 | 0.580311 | 0.580311 | 0.580311 | 0.580311 | 193 | 0.580311 | 0.580311 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
53 | Q3 | bee | elephant | tiger | oak_tree | 0.8182 | 0.6931 | 0.727096 | 0.131213 | 0.44 | 0.44 | 0.44 | 0.147427 | 0.147427 | 0.147427 | 9 | 0.888889 | null | 0.888889 | null | 9 | 0.888889 | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
78 | Q4 | bee | flatfish | dinosaur | train | 0.8353 | 0.5958 | 0.619765 | 0.092181 | 0.481481 | 0.8 | 0.8 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
54 | Q3 | bee | skyscraper | flatfish | lawn_mower | 0.8358 | 0.5467 | 0.76619 | 0.338909 | 0.6 | 0.6 | 0.6 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
28 | Q2 | bee | table | shark | clock | 0.8678 | 0.6956 | 0.73877 | 0.263168 | 0.619048 | 0.888889 | 0.888889 | 0.91603 | 0.91603 | 0.91603 | 5 | 0.6 | null | 0.6 | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
3 | Q1 | beetle | camel | willow_tree | tank | 0.8173 | 0.5829 | 0.689702 | 0.184541 | 0.44 | 0.44 | 0.44 | 0.186543 | 0.186543 | 0.186543 | 21 | 0.952381 | 0.952381 | 0.952381 | null | 21 | 0.952381 | 0.952381 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
79 | Q4 | beetle | motorcycle | raccoon | crab | 0.8151 | 0.4656 | 0.692655 | 0.17516 | 0.636364 | 0.636364 | 0.636364 | 0.809164 | 0.809164 | 0.809164 | 23 | 0.956522 | 0.956522 | 0.956522 | null | 23 | 0.956522 | 0.956522 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
29 | Q2 | bottle | cloud | squirrel | pine_tree | 0.7967 | 0.6196 | 0.795229 | 0.420506 | 0.764706 | 0.75 | 0.75 | 0.650403 | 0.650403 | 0.650403 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
30 | Q2 | bottle | crocodile | lion | dolphin | 0.852 | 0.6656 | 0.751279 | 0.461892 | 0.636364 | 0.636364 | 0.636364 | null | null | null | 28 | 0.964286 | 0.964286 | 0.964286 | null | 28 | 0.964286 | 0.964286 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
55 | Q3 | bottle | keyboard | tiger | snail | 0.8662 | 0.6422 | 0.821888 | 0.375603 | 0.333333 | 0.333333 | 0.333333 | 0.650094 | 0.650094 | null | 78 | 0.74359 | 0.74359 | 0.74359 | 0.74359 | 78 | 0.74359 | 0.74359 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
4 | Q1 | bottle | television | snail | sea | 0.9084 | 0.8178 | 0.659404 | 0.158728 | 0.4 | 0.368421 | 0.368421 | 0.736652 | 0.736652 | 0.736652 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
80 | Q4 | bowl | porcupine | mountain | beetle | 0.8878 | 0.5876 | 0.61536 | 0.356501 | 0.636364 | 0.636364 | 0.636364 | 0.894874 | 0.894874 | 0.894874 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
5 | Q1 | bowl | spider | caterpillar | porcupine | 0.8096 | 0.5202 | 0.677936 | 0.291313 | 0.6 | 0.6 | 0.6 | 0.896068 | 0.896068 | 0.896068 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
56 | Q3 | boy | poppy | tank | porcupine | 0.8296 | 0.7013 | 0.81003 | 0.174069 | 0.428571 | 0.428571 | 0.428571 | 0.818797 | 0.818797 | 0.818797 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
57 | Q3 | bridge | snake | cattle | cup | 0.8569 | 0.5749 | 0.790226 | 0.403729 | 0.578947 | 0.578947 | 0.578947 | null | null | null | 217 | 0.870968 | 0.870968 | 0.870968 | 0.870968 | 217 | 0.870968 | 0.870968 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
81 | Q4 | butterfly | palm_tree | worm | bear | 0.8824 | 0.6256 | 0.668812 | 0.147434 | 0.478261 | 0.789474 | 0.789474 | 0.302257 | 0.302257 | 0.302257 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
82 | Q4 | castle | mountain | can | bicycle | 0.9773 | 0.7036 | 0.537413 | 0.253739 | 0.6 | 0.625 | 0.625 | null | null | null | 54 | 0.759259 | 0.759259 | 0.759259 | 0.759259 | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
83 | Q4 | castle | squirrel | table | sweet_pepper | 0.9547 | 0.654 | 0.603679 | 0.239015 | 0.636364 | 0.652174 | 0.652174 | null | null | null | 5 | 1 | null | 1 | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
6 | Q1 | castle | turtle | kangaroo | hamster | 0.8371 | 0.5896 | 0.682951 | 0.331509 | 0.636364 | 0.5 | 0.5 | null | null | null | 22 | 0.954545 | 0.954545 | 0.954545 | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
84 | Q4 | chair | dinosaur | lion | telephone | 0.8767 | 0.6516 | 0.693337 | 0.367643 | 0.652174 | 0.652174 | 0.652174 | null | null | null | 15 | 0.933333 | 0.933333 | 0.933333 | null | 15 | 0.933333 | 0.933333 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
31 | Q2 | chair | maple_tree | forest | cockroach | 0.8371 | 0.6713 | 0.773469 | 0.594118 | 0.636364 | 0.777778 | 0.777778 | 0.78495 | 0.78495 | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
7 | Q1 | chimpanzee | crab | snake | telephone | 0.8862 | 0.6933 | 0.645166 | 0.11858 | 0.5 | 0.5 | 0.5 | null | null | null | 12 | 0.833333 | 0.833333 | 0.833333 | null | 12 | 0.833333 | 0.833333 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
8 | Q1 | chimpanzee | kangaroo | butterfly | flatfish | 0.8353 | 0.5089 | 0.654223 | 0.089529 | 0.310345 | 0.310345 | 0.310345 | null | null | null | 18 | 0.666667 | 0.666667 | 0.666667 | null | 18 | 0.666667 | 0.666667 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
32 | Q2 | chimpanzee | skyscraper | orchid | otter | 0.8158 | 0.5431 | 0.762193 | 0.328417 | 0.666667 | 0.666667 | 0.666667 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
58 | Q3 | chimpanzee | spider | otter | mouse | 0.7347 | 0.412 | 0.733792 | 0.14484 | 0.481481 | 0.481481 | 0.481481 | null | null | null | 25 | 0.96 | 0.96 | 0.96 | null | 25 | 0.96 | 0.96 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
33 | Q2 | chimpanzee | wardrobe | oak_tree | flatfish | 0.8109 | 0.6269 | 0.807476 | 0.558315 | 0.68 | 0.68 | 0.68 | null | null | null | 3 | 1 | null | 1 | null | 3 | 1 | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
34 | Q2 | clock | forest | ray | pine_tree | 0.7958 | 0.612 | 0.806727 | 0.499249 | 0.882353 | 0.882353 | 0.882353 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
85 | Q4 | clock | lizard | tiger | train | 0.8596 | 0.6896 | 0.70125 | 0.368495 | 0.666667 | 0.666667 | 0.666667 | 0.884099 | 0.884099 | 0.884099 | 71 | 0.985915 | 0.985915 | 0.985915 | 0.985915 | 71 | 0.985915 | 0.985915 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
9 | Q1 | clock | motorcycle | streetcar | lobster | 0.858 | 0.698 | 0.710248 | 0.285318 | 0.454545 | 0.454545 | 0.454545 | 0.477401 | 0.477401 | 0.477401 | 8 | 0.875 | null | 0.875 | null | 8 | 0.875 | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
59 | Q3 | clock | tractor | pickup_truck | butterfly | 0.826 | 0.682 | 0.800138 | 0.477549 | 0.428571 | 0.428571 | 0.428571 | 0.554797 | 0.554797 | 0.554797 | 12 | 0.833333 | 0.833333 | 0.833333 | null | 12 | 0.833333 | 0.833333 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
35 | Q2 | cloud | rose | raccoon | skunk | 0.8462 | 0.5222 | 0.759335 | 0.322083 | 0.789474 | 0.777778 | 0.777778 | 0.492047 | 0.492047 | 0.492047 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
60 | Q3 | cockroach | fox | cup | bottle | 0.8556 | 0.598 | 0.784664 | 0.288962 | 0.461538 | 0.461538 | 0.461538 | 0.188052 | 0.188052 | 0.188052 | 8 | 0.875 | null | 0.875 | null | 8 | 0.875 | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
61 | Q3 | couch | tiger | lizard | crab | 0.7989 | 0.4836 | 0.757521 | 0.37218 | 0.68 | 0.555556 | 0.555556 | 0.873286 | 0.873286 | 0.873286 | 10 | 1 | 1 | 1 | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
36 | Q2 | crab | maple_tree | cup | pear | 0.8687 | 0.63 | 0.721649 | 0.146236 | 0.5 | 0.8 | 0.8 | 0.605052 | 0.605052 | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
37 | Q2 | crab | pickup_truck | pine_tree | whale | 0.8369 | 0.65 | 0.745085 | 0.395929 | 0.666667 | 0.652174 | 0.652174 | 0.897582 | 0.897582 | null | 8 | 1 | null | 1 | null | 86 | 0.965116 | 0.965116 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
86 | Q4 | crab | train | trout | keyboard | 0.8633 | 0.5627 | 0.683321 | 0.249177 | 0.619048 | 0.619048 | 0.619048 | 0.89334 | 0.89334 | 0.89334 | 6 | 1 | null | 1 | null | 6 | 1 | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
38 | Q2 | crocodile | cup | beaver | porcupine | 0.7133 | 0.47 | 0.747225 | 0.307417 | 0.619048 | 0.619048 | 0.619048 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
87 | Q4 | crocodile | flatfish | beaver | tank | 0.802 | 0.5516 | 0.389993 | 0.092719 | 0.357143 | 0.809524 | 0.809524 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
10 | Q1 | crocodile | kangaroo | caterpillar | fox | 0.8362 | 0.4556 | 0.433903 | 0.064781 | 0.307692 | 0.307692 | 0.307692 | null | null | null | 8 | 1 | null | 1 | null | 8 | 1 | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
88 | Q4 | crocodile | palm_tree | apple | bowl | 0.9213 | 0.6607 | 0.633182 | 0.138193 | 0.5 | 0.8 | 0.8 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
11 | Q1 | crocodile | skunk | man | cup | 0.9558 | 0.6453 | 0.446824 | 0.037458 | 0.333333 | 0.478261 | 0.478261 | null | null | null | 14 | 0.857143 | 0.857143 | 0.857143 | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
89 | Q4 | crocodile | trout | fox | train | 0.9347 | 0.6262 | 0.489642 | 0.098244 | 0.307692 | 0.8 | 0.8 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
12 | Q1 | cup | plate | bridge | seal | 0.9529 | 0.6827 | 0.544535 | 0.402825 | 0.2 | 0.2 | 0.2 | 0.156147 | 0.156147 | 0.156147 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
62 | Q3 | cup | whale | pickup_truck | telephone | 0.8491 | 0.7096 | 0.785329 | 0.225942 | 0.636364 | 0.529412 | 0.529412 | 0.858765 | 0.858765 | 0.858765 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
39 | Q2 | cup | wolf | snail | couch | 0.8276 | 0.5769 | 0.806575 | 0.270243 | 0.636364 | 0.636364 | 0.636364 | 0.879772 | 0.879772 | 0.879772 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
63 | Q3 | dolphin | man | caterpillar | sweet_pepper | 0.862 | 0.5682 | 0.758323 | 0.230442 | 0.52 | 0.52 | 0.52 | 0.673118 | 0.673118 | 0.673118 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
90 | Q4 | flatfish | poppy | mountain | lobster | 0.8444 | 0.632 | 0.70141 | 0.137774 | 0.555556 | 0.8 | 0.8 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
91 | Q4 | forest | skunk | aquarium_fish | bowl | 0.9344 | 0.6804 | 0.552535 | 0.141926 | 0.9 | 0.846154 | 0.846154 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
40 | Q2 | forest | telephone | boy | otter | 0.8058 | 0.5536 | 0.835355 | 0.511798 | 0.866667 | 0.866667 | 0.866667 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
64 | Q3 | house | keyboard | boy | aquarium_fish | 0.8751 | 0.6304 | 0.755149 | 0.332505 | 0.411765 | 0.411765 | 0.411765 | null | null | null | 9 | 0.777778 | null | 0.777778 | null | 9 | 0.777778 | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
13 | Q1 | house | pickup_truck | dinosaur | shark | 0.9569 | 0.736 | 0.463699 | 0.082721 | 0.5 | 0.473684 | 0.473684 | null | null | null | 14 | 1 | 1 | 1 | null | 149 | 0.812081 | 0.812081 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
65 | Q3 | keyboard | skunk | train | seal | 0.7991 | 0.5987 | 0.879711 | 0.382064 | 0.652174 | 0.578947 | 0.578947 | 0.848327 | 0.848327 | null | 2 | 1 | null | 1 | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
66 | Q3 | keyboard | snail | plate | orange | 0.8413 | 0.7051 | 0.835303 | 0.338984 | 0.6 | 0.6 | 0.6 | 0.901294 | 0.901294 | null | 3 | 1 | null | 1 | null | 3 | 1 | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
67 | Q3 | keyboard | worm | apple | woman | 0.8402 | 0.6962 | 0.814776 | 0.311003 | 0.555556 | 0.555556 | 0.555556 | 0.909897 | 0.909897 | null | 20 | 0.7 | 0.7 | 0.7 | null | 20 | 0.7 | 0.7 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
14 | Q1 | lamp | shrew | camel | trout | 0.8153 | 0.5044 | 0.701458 | 0.39197 | 0.636364 | 0.6 | 0.6 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
92 | Q4 | leopard | turtle | skunk | woman | 0.8762 | 0.5613 | 0.617302 | 0.136286 | 0.357143 | 0.8 | 0.8 | 0.074769 | 0.074769 | 0.074769 | 19 | 0.894737 | 0.894737 | 0.894737 | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
15 | Q1 | lion | rabbit | elephant | sweet_pepper | 0.8944 | 0.6589 | 0.553107 | 0.064125 | 0.241379 | 0.241379 | 0.241379 | 0.064375 | 0.064375 | 0.064375 | 34 | 0.529412 | 0.529412 | 0.529412 | 0.529412 | 34 | 0.529412 | 0.529412 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
93 | Q4 | lion | raccoon | pickup_truck | boy | 0.9564 | 0.7409 | 0.504489 | 0.057987 | 0.172414 | 0.84 | 0.84 | 0.066139 | 0.066139 | 0.066139 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
68 | Q3 | lion | shark | dolphin | crab | 0.7673 | 0.5216 | 0.777423 | 0.298382 | 0.37931 | 0.37931 | 0.37931 | 0.208811 | 0.208811 | 0.208811 | 10 | 0.8 | 0.8 | 0.8 | null | 10 | 0.8 | 0.8 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
41 | Q2 | lion | turtle | beetle | squirrel | 0.7838 | 0.4867 | 0.716742 | 0.132019 | 0.357143 | 0.68 | 0.68 | 0.08734 | 0.08734 | 0.08734 | 30 | 0.9 | 0.9 | 0.9 | 0.9 | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
16 | Q1 | lizard | snail | skunk | aquarium_fish | 0.8996 | 0.4827 | 0.515372 | 0.045149 | 0.416667 | 0.416667 | 0.416667 | 0.175476 | 0.175476 | 0.175476 | 177 | 0.706215 | 0.706215 | 0.706215 | 0.706215 | 177 | 0.706215 | 0.706215 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
17 | Q1 | man | squirrel | palm_tree | wolf | 0.8398 | 0.5316 | 0.582671 | 0.132905 | 0.454545 | 0.454545 | 0.454545 | 0.673255 | 0.673255 | 0.673255 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
18 | Q1 | man | turtle | seal | couch | 0.7944 | 0.5878 | 0.690216 | 0.161536 | 0.454545 | 0.578947 | 0.578947 | 0.642393 | 0.642393 | 0.642393 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
42 | Q2 | mouse | palm_tree | keyboard | lion | 0.8484 | 0.6469 | 0.774515 | 0.100423 | 0.5 | 0.8 | 0.8 | 0.72781 | 0.72781 | 0.72781 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
19 | Q1 | mouse | shark | wardrobe | television | 0.91 | 0.7191 | 0.630985 | 0.190228 | 0.333333 | 0.333333 | 0.333333 | 0.163328 | 0.163328 | 0.163328 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
20 | Q1 | mouse | shrew | forest | pine_tree | 0.8607 | 0.5767 | 0.141426 | 0.0551 | 0.153846 | 0.5 | 0.5 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
43 | Q2 | mouse | streetcar | possum | oak_tree | 0.7576 | 0.6491 | 0.745843 | 0.346155 | 0.652174 | 0.652174 | 0.652174 | 0.89288 | null | 0.89288 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
94 | Q4 | mushroom | ray | seal | whale | 0.7847 | 0.5151 | 0.691125 | 0.244797 | 0.5 | 0.888889 | 0.888889 | null | null | 0.529481 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
44 | Q2 | oak_tree | orange | raccoon | plain | 0.8276 | 0.7411 | 0.821873 | 0.535269 | 0.652174 | 0.647059 | 0.647059 | 0.568453 | 0.568453 | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
45 | Q2 | orange | porcupine | dinosaur | lawn_mower | 0.8322 | 0.5142 | 0.885331 | 0.508861 | 0.68 | 0.68 | 0.68 | 0.765816 | 0.765816 | 0.765816 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
69 | Q3 | orchid | pine_tree | tiger | whale | 0.8496 | 0.6584 | 0.828322 | 0.21798 | 0.36 | 0.36 | 0.36 | 0.2026 | 0.2026 | 0.2026 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
46 | Q2 | orchid | sea | fox | pine_tree | 0.8211 | 0.5929 | 0.861732 | 0.459859 | 0.764706 | 0.764706 | 0.764706 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
70 | Q3 | orchid | seal | keyboard | leopard | 0.8649 | 0.6949 | 0.767675 | 0.109452 | 0.538462 | 0.538462 | 0.538462 | 0.706243 | 0.706243 | 0.706243 | 4 | 0.75 | null | 0.75 | null | 4 | 0.75 | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
71 | Q3 | orchid | shark | lobster | crab | 0.6431 | 0.4676 | 0.803978 | 0.230761 | 0.538462 | 0.538462 | 0.538462 | 0.691894 | 0.691894 | 0.691894 | 16 | 1 | 1 | 1 | null | 16 | 1 | 1 | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
72 | Q3 | orchid | whale | table | telephone | 0.8433 | 0.6536 | 0.836087 | 0.330556 | 0.538462 | 0.428571 | 0.428571 | 0.671287 | 0.671287 | 0.671287 | 9 | 1 | null | 1 | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
95 | Q4 | otter | rocket | dinosaur | couch | 0.8873 | 0.5742 | 0.611723 | 0.267262 | 0.652174 | 0.789474 | 0.789474 | 0.833584 | 0.833584 | 0.833584 | 2 | 1 | null | 1 | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
96 | Q4 | otter | skunk | shrew | camel | 0.8202 | 0.5456 | 0.382485 | 0.052208 | 0.071429 | 0.764706 | 0.764706 | 0.071667 | 0.071667 | 0.071667 | 122 | 0.860656 | 0.860656 | 0.860656 | 0.860656 | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
97 | Q4 | palm_tree | woman | mountain | television | 0.8538 | 0.7916 | 0.65551 | 0.1811 | 0.4 | 0.692308 | 0.692308 | 0.74634 | 0.74634 | 0.74634 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
73 | Q3 | pear | road | man | couch | 0.8242 | 0.6347 | 0.790498 | 0.354721 | 0.555556 | 0.555556 | 0.555556 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
21 | Q1 | plain | rocket | turtle | lobster | 0.9196 | 0.6329 | 0.500003 | 0.22423 | 0.571429 | 0.571429 | 0.571429 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
22 | Q1 | plain | worm | oak_tree | sunflower | 0.8871 | 0.7116 | 0.706222 | 0.394081 | 0.571429 | 0.571429 | 0.571429 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
74 | Q3 | plate | road | lizard | turtle | 0.7876 | 0.4947 | 0.824232 | 0.516862 | 0.411765 | 0.411765 | 0.411765 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
98 | Q4 | rabbit | sea | cockroach | bridge | 0.8209 | 0.6671 | 0.697814 | 0.346958 | 0.789474 | 0.789474 | 0.789474 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
47 | Q2 | ray | sweet_pepper | tulip | forest | 0.8402 | 0.6349 | 0.764475 | 0.30685 | 0.833333 | 0.888889 | 0.888889 | null | null | 0.755137 | 10 | 0.8 | 0.8 | 0.8 | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
48 | Q2 | rose | sea | worm | house | 0.8229 | 0.6922 | 0.79536 | 0.498032 | 0.75 | 0.75 | 0.75 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
23 | Q1 | shrew | squirrel | woman | tank | 0.9762 | 0.7273 | 0.238103 | 0.064866 | 0.153846 | 0.5 | 0.5 | null | null | null | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
24 | Q1 | spider | woman | possum | squirrel | 0.7553 | 0.4598 | 0.675995 | 0.190091 | 0.4 | 0.4 | 0.4 | 0.691421 | 0.691421 | 0.691421 | 0 | null | null | null | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
49 | Q2 | squirrel | telephone | seal | lizard | 0.7447 | 0.4393 | 0.764119 | 0.501299 | 0.636364 | 0.636364 | 0.636364 | 0.895523 | null | 0.895523 | 6 | 1 | null | 1 | null | 6 | 1 | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
99 | Q4 | table | tractor | boy | cattle | 0.8404 | 0.5822 | 0.70997 | 0.127567 | 0.368421 | 0.875 | 0.875 | 0.739487 | 0.739487 | 0.739487 | 10 | 0.8 | 0.8 | 0.8 | null | 0 | null | null | DINOv2-small (CLS, 384-d, L2) | prototype (normalized centroid), 3-way, 5 shots | CVCL vision (ResNeXt-50, 512-d, L2) |
Visual similarity, human similarity and artificial word learning (CIFAR)
Companion dataset for Visual Similarity in Adult Word Extension and Artificial Word Learning (Vera, 2026). Author: Patricio M. Vera (ORCID 0009-0004-5384-5952), Simbionte.org. Code: github.com/patriciomvera/lexical-consensus. Preprint: arXiv link coming soon.
Summary
Tabular companion to analyses that relate a frozen self-supervised visual encoder (DINOv2-small) to human similarity and word-extension behaviour, and to an artificial prototype learner over the same space. This repository holds the CC BY 4.0 configs. A separate repository holds the CIFAR-10H-derived tables under CC BY-NC-SA 4.0.
| Config | Unit | Rows | What it is |
|---|---|---|---|
pairs_c100 |
CIFAR-100 class pair | 4,950 | DINOv2 / CVCL / WordNet / THINGS / HSJ distances |
learner_c100 |
Sampled two-category word | 100 | Prototype-learner naming accuracy + distances |
xtmem_aggregates |
Image × teaching condition | 96 | Aggregated adult extension (Lewis & Frank 2018) |
word_norms |
Word | 95 | Glasgow AoA + our DINOv2 dispersion |
Auxiliary files (not HF configs): maps/map_things_v1.json, maps/map_hsj_v1.json,
and recipe/ (rebuild instructions for XTMEM aggregates).
How it was built (recipe)
Encoder. DINOv2-small CLS embeddings (384-d), L2-normalised. Default Hugging Face image processor: RGB, bicubic resize of the shorter side to 256, 224×224 centre crop, ImageNet normalisation. Pair distance = cosine distance between class centroids (all CIFAR-100 training images per class).
Learner. Prototype (normalised centroid) in 3-way, 5-shot episodes; naming
accuracy on held-out images. The two native contrast classes (contrast1,
contrast2) are sampled with the same deterministic seed schedule used in the
DINOv2 dissociation experiment and reused for the CVCL re-run; they are episode
metadata for both encoders, not CVCL-only.
Human similarity.
- THINGS SPoSE 66-d distances via a versioned CIFAR→THINGS map (
map_things_v1.json). - ImageNet-HSJ:
d_hsjis defined only whenhsj_n ≥ 10; raw means and counts are also shipped. Trial-level HSJ data are not shipped (rebuild from OSF cn2s3). - Glasgow Norms age of acquisition (
aoa_glasgow). Word-frequency (zipffrom wordfreq) is not redistributed (author request not to repackage). dispersioninword_normsis our own derived value: within-class coherence of DINOv2 embeddings for that CIFAR label (not a Glasgow Norms field).
Adult word extension (XTMEM / Lewis & Frank 2018). Only aggregates are
shipped: one row per image × harmonized teaching condition over target-domain
trials (in_target = 1). Seven raw condition spellings are unified to four
canonical labels (one, three_subordinate, three_basic,
three_superordinate), matching the paper's exploratory figure. That yields
96 units (= paper \XUnits).
Suppression rule (formal). Any aggregate cell with n_participants < 5
is omitted from xtmem_aggregates. In the full Lewis & Frank sample no cell
falls below this threshold at the published grain.
Why n_participants is 520 in every cell. Each person-session runs 12
trials = 4 teaching conditions × 3 categories. Every test image belongs to one
category domain, so with in_target = 1 every session contributes exactly one
observation to every image × condition cell. Unique people = 520 (paper
HFourPersons); unique sessions = 600 (56 people repeated across experiments).
Column n_sessions makes this transparent. The constant is a property of the
crossed design, not a broadcast of a global total.
Per-participant / per-trial tables (h4_long.csv, h4_first_session.csv) are
not redistributed — see recipe/ to rebuild locally from OSF yekhj.
CVCL. Distances and accuracies from the CVCL vision encoder (MIT-licensed model; weights not included). Same episode design as DINOv2 for the 100 pairs.
What we tried that did not ship
- Redistributing per-participant XTMEM derivatives — rejected to keep the paper, the code repository and this dataset consistent, and because stimulus-image provenance is undocumented in the upstream GitHub tree.
- Packing wordfreq
zipfvalues — rejected at the author's request. - Shipping CIFAR / ImageNet / THINGS / XTMEM images or embedding caches — out of scope; large and not ours to rehost.
- A single shared license covering CIFAR-10H — impossible without forcing NC-SA onto CC BY material; CIFAR-10H tables live in the sister repository.
- Publishing
hsj_trials.csv.gz(~511k rows) — optional; omitted (rebuild from OSF cn2s3).
Limitations
- THINGS / HSJ coverage is partial (see
covered_*columns). Class mappings involve judgements; scout / strict / origmap variants are included where they exist. - XTMEM aggregates do not support re-analysis of person-level random effects; use the recipe and the original OSF deposit for that.
- No images. Learner results are for frozen encoders, CIFAR, two-category words and shallow learners. Post hoc paper analyses are exploratory.
- Research use; not a production model-evaluation suite.
Sources and licenses
| Source | License | What enters this repo |
|---|---|---|
| Lewis & Frank 2018 (OSF yekhj) | CC BY 4.0 | Aggregates only |
| THINGS (OSF f5rn6) | CC BY 4.0 | Distances + map |
| ImageNet-HSJ (OSF cn2s3) | CC BY 4.0 | Distances + map |
| Glasgow Norms | CC BY 4.0 | aoa_glasgow |
| CVCL model | MIT | Distances / accuracies only |
Our distances, learner outputs, and dispersion |
CC BY 4.0 (this dataset) | All remaining columns |
Third-party values remain under their own licenses. Attribution in any redistribution must preserve the chain above.
Citation
@misc{vera2026visualsimilarity,
title = {Visual Similarity in Adult Word Extension and Artificial Word Learning},
author = {Vera, Patricio M.},
year = {2026},
note = {Affiliation: Simbionte.org. ORCID: 0009-0004-5384-5952.
Code: https://github.com/patriciomvera/lexical-consensus}
}
Files
pairs_c100/pairs_c100.parquet
learner_c100/learner_c100.parquet
xtmem_aggregates/xtmem_aggregates.parquet
xtmem_aggregates/condition_label_map.json
word_norms/word_norms.parquet
maps/map_things_v1.json
maps/map_hsj_v1.json
recipe/
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