| --- |
| license: mit |
| task_categories: |
| - visual-question-answering |
| - image-to-text |
| language: |
| - en |
| tags: |
| - multimodal |
| - program-of-thought |
| - tool-use |
| - code-with-image |
| pretty_name: CwI-Bench |
| configs: |
| - config_name: alignment |
| data_files: |
| - split: train |
| path: alignment/train-* |
| - split: validation |
| path: alignment/validation-* |
| - split: test |
| path: alignment/test-* |
| - config_name: anomaly_v2 |
| data_files: |
| - split: train |
| path: anomaly_v2/train-* |
| - split: validation |
| path: anomaly_v2/validation-* |
| - split: test |
| path: anomaly_v2/test-* |
| - config_name: brightest_blob |
| data_files: |
| - split: train |
| path: brightest_blob/train-* |
| - split: validation |
| path: brightest_blob/validation-* |
| - split: test |
| path: brightest_blob/test-* |
| - config_name: channel_mix |
| data_files: |
| - split: train |
| path: channel_mix/train-* |
| - split: validation |
| path: channel_mix/validation-* |
| - split: test |
| path: channel_mix/test-* |
| - config_name: circle_fit |
| data_files: |
| - split: train |
| path: circle_fit/train-* |
| - split: validation |
| path: circle_fit/validation-* |
| - split: test |
| path: circle_fit/test-* |
| - config_name: circular_shift |
| data_files: |
| - split: train |
| path: circular_shift/train-* |
| - split: validation |
| path: circular_shift/validation-* |
| - split: test |
| path: circular_shift/test-* |
| - config_name: color_count |
| data_files: |
| - split: train |
| path: color_count/train-* |
| - split: validation |
| path: color_count/validation-* |
| - split: test |
| path: color_count/test-* |
| - config_name: congruent_pair |
| data_files: |
| - split: train |
| path: congruent_pair/train-* |
| - split: validation |
| path: congruent_pair/validation-* |
| - split: test |
| path: congruent_pair/test-* |
| - config_name: crop_provenance |
| data_files: |
| - split: train |
| path: crop_provenance/train-* |
| - split: validation |
| path: crop_provenance/validation-* |
| - split: test |
| path: crop_provenance/test-* |
| - config_name: double_exposure |
| data_files: |
| - split: train |
| path: double_exposure/train-* |
| - split: validation |
| path: double_exposure/validation-* |
| - split: test |
| path: double_exposure/test-* |
| - config_name: film_color |
| data_files: |
| - split: train |
| path: film_color/train-* |
| - split: validation |
| path: film_color/validation-* |
| - split: test |
| path: film_color/test-* |
| - config_name: gain_center |
| data_files: |
| - split: train |
| path: gain_center/train-* |
| - split: validation |
| path: gain_center/validation-* |
| - split: test |
| path: gain_center/test-* |
| - config_name: grating_period |
| data_files: |
| - split: train |
| path: grating_period/train-* |
| - split: validation |
| path: grating_period/validation-* |
| - split: test |
| path: grating_period/test-* |
| - config_name: jigsaw |
| data_files: |
| - split: train |
| path: jigsaw/train-* |
| - split: validation |
| path: jigsaw/validation-* |
| - split: test |
| path: jigsaw/test-* |
| - config_name: patch_mean_dots |
| data_files: |
| - split: train |
| path: patch_mean_dots/train-* |
| - split: validation |
| path: patch_mean_dots/validation-* |
| - split: test |
| path: patch_mean_dots/test-* |
| - config_name: peak_count |
| data_files: |
| - split: train |
| path: peak_count/train-* |
| - split: validation |
| path: peak_count/validation-* |
| - split: test |
| path: peak_count/test-* |
| - config_name: print_misreg |
| data_files: |
| - split: train |
| path: print_misreg/train-* |
| - split: validation |
| path: print_misreg/validation-* |
| - split: test |
| path: print_misreg/test-* |
| - config_name: restore_then_count |
| data_files: |
| - split: train |
| path: restore_then_count/train-* |
| - split: validation |
| path: restore_then_count/validation-* |
| - split: test |
| path: restore_then_count/test-* |
| - config_name: restore_then_measure |
| data_files: |
| - split: train |
| path: restore_then_measure/train-* |
| - split: validation |
| path: restore_then_measure/validation-* |
| - split: test |
| path: restore_then_measure/test-* |
| - config_name: retouch_region |
| data_files: |
| - split: train |
| path: retouch_region/train-* |
| - split: validation |
| path: retouch_region/validation-* |
| - split: test |
| path: retouch_region/test-* |
| - config_name: ring_rotor |
| data_files: |
| - split: train |
| path: ring_rotor/train-* |
| - split: validation |
| path: ring_rotor/validation-* |
| - split: test |
| path: ring_rotor/test-* |
| - config_name: rot_scale |
| data_files: |
| - split: train |
| path: rot_scale/train-* |
| - split: validation |
| path: rot_scale/validation-* |
| - split: test |
| path: rot_scale/test-* |
| - config_name: rotated_jigsaw |
| data_files: |
| - split: train |
| path: rotated_jigsaw/train-* |
| - split: validation |
| path: rotated_jigsaw/validation-* |
| - split: test |
| path: rotated_jigsaw/test-* |
| - config_name: scan_moire |
| data_files: |
| - split: train |
| path: scan_moire/train-* |
| - split: validation |
| path: scan_moire/validation-* |
| - split: test |
| path: scan_moire/test-* |
| - config_name: shift_rot_align |
| data_files: |
| - split: train |
| path: shift_rot_align/train-* |
| - split: validation |
| path: shift_rot_align/validation-* |
| - split: test |
| path: shift_rot_align/test-* |
| - config_name: sub_rect_swap |
| data_files: |
| - split: train |
| path: sub_rect_swap/train-* |
| - split: validation |
| path: sub_rect_swap/validation-* |
| - split: test |
| path: sub_rect_swap/test-* |
| - config_name: swatch_rgb |
| data_files: |
| - split: train |
| path: swatch_rgb/train-* |
| - split: validation |
| path: swatch_rgb/validation-* |
| - split: test |
| path: swatch_rgb/test-* |
| - config_name: trace_length |
| data_files: |
| - split: train |
| path: trace_length/train-* |
| - split: validation |
| path: trace_length/validation-* |
| - split: test |
| path: trace_length/test-* |
| - config_name: transform_chain |
| data_files: |
| - split: train |
| path: transform_chain/train-* |
| - split: validation |
| path: transform_chain/validation-* |
| - split: test |
| path: transform_chain/test-* |
| - config_name: unshuffle2d |
| data_files: |
| - split: train |
| path: unshuffle2d/train-* |
| - split: validation |
| path: unshuffle2d/validation-* |
| - split: test |
| path: unshuffle2d/test-* |
| dataset_info: |
| - config_name: alignment |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 6837967 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 5820942 |
| num_examples: 50 |
| - name: test |
| num_bytes: 11337593 |
| num_examples: 100 |
| download_size: 23903006 |
| dataset_size: 23996502 |
| - config_name: anomaly_v2 |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 923457 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 772076 |
| num_examples: 50 |
| - name: test |
| num_bytes: 1483653 |
| num_examples: 100 |
| download_size: 2601660 |
| dataset_size: 3179186 |
| - config_name: brightest_blob |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 22273205 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 18455827 |
| num_examples: 50 |
| - name: test |
| num_bytes: 36881865 |
| num_examples: 100 |
| download_size: 77549797 |
| dataset_size: 77610897 |
| - config_name: channel_mix |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 21795690 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 17722847 |
| num_examples: 50 |
| - name: test |
| num_bytes: 37580065 |
| num_examples: 100 |
| download_size: 76946924 |
| dataset_size: 77098602 |
| - config_name: circle_fit |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 182410 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 151882 |
| num_examples: 50 |
| - name: test |
| num_bytes: 303648 |
| num_examples: 100 |
| download_size: 577208 |
| dataset_size: 637940 |
| - config_name: circular_shift |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 28026792 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 23139460 |
| num_examples: 50 |
| - name: test |
| num_bytes: 47694366 |
| num_examples: 100 |
| download_size: 98799485 |
| dataset_size: 98860618 |
| - config_name: color_count |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 22939900 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 19633023 |
| num_examples: 50 |
| - name: test |
| num_bytes: 37823976 |
| num_examples: 100 |
| download_size: 80224430 |
| dataset_size: 80396899 |
| - config_name: congruent_pair |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 1296478 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 1074498 |
| num_examples: 50 |
| - name: test |
| num_bytes: 2161767 |
| num_examples: 100 |
| download_size: 4205113 |
| dataset_size: 4532743 |
| - config_name: crop_provenance |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 26803673 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 22865389 |
| num_examples: 50 |
| - name: test |
| num_bytes: 45416566 |
| num_examples: 100 |
| download_size: 94984293 |
| dataset_size: 95085628 |
| - config_name: double_exposure |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 25611765 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 21067447 |
| num_examples: 50 |
| - name: test |
| num_bytes: 40315263 |
| num_examples: 100 |
| download_size: 86862572 |
| dataset_size: 86994475 |
| - config_name: film_color |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 23060236 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 19210169 |
| num_examples: 50 |
| - name: test |
| num_bytes: 37563563 |
| num_examples: 100 |
| download_size: 79709404 |
| dataset_size: 79833968 |
| - config_name: gain_center |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 45706087 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 37224384 |
| num_examples: 50 |
| - name: test |
| num_bytes: 77353970 |
| num_examples: 100 |
| download_size: 160167486 |
| dataset_size: 160284441 |
| - config_name: grating_period |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 24984093 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 20112694 |
| num_examples: 50 |
| - name: test |
| num_bytes: 39859474 |
| num_examples: 100 |
| download_size: 84893754 |
| dataset_size: 84956261 |
| - config_name: jigsaw |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 14993571 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 12494839 |
| num_examples: 50 |
| - name: test |
| num_bytes: 24394299 |
| num_examples: 100 |
| download_size: 51752483 |
| dataset_size: 51882709 |
| - config_name: patch_mean_dots |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 24114651 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 20888902 |
| num_examples: 50 |
| - name: test |
| num_bytes: 40431954 |
| num_examples: 100 |
| download_size: 85314551 |
| dataset_size: 85435507 |
| - config_name: peak_count |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 20415190 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 17021298 |
| num_examples: 50 |
| - name: test |
| num_bytes: 33985872 |
| num_examples: 100 |
| download_size: 71379947 |
| dataset_size: 71422360 |
| - config_name: print_misreg |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 27593733 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 22998640 |
| num_examples: 50 |
| - name: test |
| num_bytes: 46044520 |
| num_examples: 100 |
| download_size: 96512503 |
| dataset_size: 96636893 |
| - config_name: restore_then_count |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 36167912 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 30646306 |
| num_examples: 50 |
| - name: test |
| num_bytes: 61321795 |
| num_examples: 100 |
| download_size: 127692337 |
| dataset_size: 128136013 |
| - config_name: restore_then_measure |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 24374238 |
| num_examples: 60 |
| - name: validation |
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| num_examples: 50 |
| - name: test |
| num_bytes: 41535559 |
| num_examples: 100 |
| download_size: 86905109 |
| dataset_size: 87011726 |
| - config_name: retouch_region |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 25617140 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 21256260 |
| num_examples: 50 |
| - name: test |
| num_bytes: 42935143 |
| num_examples: 100 |
| download_size: 89696385 |
| dataset_size: 89808543 |
| - config_name: ring_rotor |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
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| num_examples: 60 |
| - name: validation |
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| num_examples: 50 |
| - name: test |
| num_bytes: 41078671 |
| num_examples: 100 |
| download_size: 86346094 |
| dataset_size: 86427804 |
| - config_name: rot_scale |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
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| num_examples: 60 |
| - name: validation |
| num_bytes: 7957948 |
| num_examples: 50 |
| - name: test |
| num_bytes: 15770687 |
| num_examples: 100 |
| download_size: 33169439 |
| dataset_size: 33232203 |
| - config_name: rotated_jigsaw |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
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| num_examples: 60 |
| - name: validation |
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| num_examples: 50 |
| - name: test |
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| num_examples: 100 |
| download_size: 88843482 |
| dataset_size: 88967369 |
| - config_name: scan_moire |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 7093200 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 6161851 |
| num_examples: 50 |
| - name: test |
| num_bytes: 11988186 |
| num_examples: 100 |
| download_size: 25170131 |
| dataset_size: 25243237 |
| - config_name: shift_rot_align |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 40575219 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 33553710 |
| num_examples: 50 |
| - name: test |
| num_bytes: 68975514 |
| num_examples: 100 |
| download_size: 143007083 |
| dataset_size: 143104443 |
| - config_name: sub_rect_swap |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 51695099 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 44835059 |
| num_examples: 50 |
| - name: test |
| num_bytes: 87694813 |
| num_examples: 100 |
| download_size: 184141684 |
| dataset_size: 184224971 |
| - config_name: swatch_rgb |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 22405363 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 17512847 |
| num_examples: 50 |
| - name: test |
| num_bytes: 36004352 |
| num_examples: 100 |
| download_size: 75757627 |
| dataset_size: 75922562 |
| - config_name: trace_length |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 23705570 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 19356749 |
| num_examples: 50 |
| - name: test |
| num_bytes: 39619622 |
| num_examples: 100 |
| download_size: 82616473 |
| dataset_size: 82681941 |
| - config_name: transform_chain |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 49928541 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 39916109 |
| num_examples: 50 |
| - name: test |
| num_bytes: 84264898 |
| num_examples: 100 |
| download_size: 173974233 |
| dataset_size: 174109548 |
| - config_name: unshuffle2d |
| features: |
| - name: id |
| dtype: string |
| - name: image |
| dtype: image |
| - name: image_2 |
| dtype: image |
| - name: prompt |
| dtype: string |
| - name: answer |
| dtype: string |
| - name: difficulty |
| dtype: string |
| - name: meta |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 15129015 |
| num_examples: 60 |
| - name: validation |
| num_bytes: 12518978 |
| num_examples: 50 |
| - name: test |
| num_bytes: 23976943 |
| num_examples: 100 |
| download_size: 51499575 |
| dataset_size: 51624936 |
| --- |
| |
| # CwI-Bench — Code-with-Image Bench |
|
|
| 30 code-with-image tasks where models must **write and run code against the image** to reach the |
| answer — pure visual inspection ("just look") is insufficient by design: answers require pixel-level |
| precision (±px coordinates, exact counts, sub-degree angles, per-channel color recovery). |
|
|
| Each task is a **config**; each config has three splits: |
|
|
| | split | size | source photos | role | |
| |---|---|---|---| |
| | `train` | 60 (15/tier) | COCO train2017 | reflection / skill-learning (`tr60`) | |
| | `validation` | 50 (13/13/12/12) | COCO train2017 | selection set (`sel50`, the exact stratified slice used in runs) | |
| | `test` | 100 (25/tier) | COCO **val2017** | final evaluation (`test_mini`) | |
|
|
| **Zero photo overlap between train/validation (train2017) and test (val2017).** |
| Difficulty tiers: `easy / medium / hard / expert` in the `difficulty` column. |
|
|
| ```python |
| from datasets import load_dataset |
| d = load_dataset("ytz009/image_pot_bench", "alignment") |
| item = d["test"][0] # columns: id, image, image_2, prompt, answer, difficulty, meta |
| ``` |
|
|
| `image_2` is non-null only for two-image tasks (e.g. `congruent_pair`). `meta` is a JSON string with |
| generation parameters (constructive ground truth). Scoring rules per task are given in the **Scoring** section below. |
|
|
| ## Scoring |
|
|
| Every item is scored **all-or-nothing (0/1)** — there is **no partial credit**, and a task's accuracy is the mean over its 100 held-out test items. The model's answer is the last `<answer>…</answer>` span in its output; **no span scores 0**. The **rule** column below is the exact condition under which a prediction is **counted correct** (it scores 1 if the condition holds, else 0). Discrete answers (permutations, counts, index sets, transform tuples) must match exactly; continuous answers (pixels, angles, RGB values, percentages) must fall within the task's tolerance — the tolerance is part of the task definition, and every generator rejects any sample a shortcut could land inside it. |
|
|
| Across the 30 tasks: **9 exact** · **20 tolerance** · **1 exact+tolerance** (`ring_rotor`). |
|
|
| Each entry reads **`task` — *criterion* — the condition under which a prediction is counted correct**. |
|
|
| **Transformation** |
|
|
| - `circular_shift` — *tolerance* — `dx,dy` each within **±2 px** of the true shift |
| - `restore_then_count` — *exact* — the integer equals the true count |
| - `shift_rot_align` — *tolerance* — `dx,dy` within **±2 px** each and θ within **±1.875°** (circular) |
| - `alignment` — *tolerance* — `dx,dy` each within **±2 px** |
| - `rot_scale` — *tolerance* — angle within **±3°** (circular) and scale within **±0.05** |
| - `transform_chain` — *exact* — the `(dx,dy,rot_k,fliph)` tuple matches in every field |
| - `unshuffle2d` — *exact* — both the row and column permutations match exactly |
| - `jigsaw` — *exact* — the full piece-order sequence matches exactly |
| - `rotated_jigsaw` — *exact* — the full tile-and-rotation assignment matches exactly |
| - `restore_then_measure` — *tolerance* — the percentage is within **±1.5 pp** |
| - `ring_rotor` — *exact+tol* — the ring index is exact and the angle within **±5°** |
| - `double_exposure` — *tolerance* — every signed shift is within **±8 px** (count and order match) |
|
|
| **Perception** |
|
|
| - `grating_period` — *tolerance* — the period is within **±1.5** |
| - `anomaly_v2` — *exact* — the reported cell set equals the true anomaly set |
| - `peak_count` — *exact* — the integer equals the true count |
| - `congruent_pair` — *exact* — the reported index pair equals the true congruent pair |
| - `trace_length` — *tolerance* — length/200 is within **±0.3** |
| - `scan_moire` — *tolerance* — the scale is within **±0.004** |
|
|
| **Localization** |
|
|
| - `crop_provenance` — *tolerance* — the box reaches **IoU ≥ 0.5** with the true crop (coords normalized 0–1000) |
| - `brightest_blob` — *tolerance* — the point is within **±2 px** on the 480-px canvas |
| - `sub_rect_swap` — *tolerance* — both boxes reach **IoU ≥ 0.5**, order-free (coords normalized 0–1000) |
| - `retouch_region` — *tolerance* — the box reaches **IoU ≥ 0.5** with the true region (coords normalized 0–1000) |
| - `circle_fit` — *tolerance* — the point is within **±4 px** on the 480-px canvas |
| - `print_misreg` — *tolerance* — `dx,dy` are each within **±0.3 px** |
| - `gain_center` — *tolerance* — every spotlight centre is within **±15 px** (in strength order) |
|
|
| **Color** |
|
|
| - `film_color` — *tolerance* — `R,G,B` each within **±10** |
| - `swatch_rgb` — *tolerance* — `R,G,B` each within **±10** |
| - `patch_mean_dots` — *tolerance* — `R,G,B` each within **±10** |
| - `color_count` — *exact* — the integer equals the true count |
| - `channel_mix` — *tolerance* — `R,G,B` each within **±8** |
|
|
|
|
| ## Tasks (30) |
|
|
| **Transformation & rearrangement**: circular_shift, restore_then_count, shift_rot_align, alignment, rot_scale, transform_chain, unshuffle2d, jigsaw, rotated_jigsaw, restore_then_measure, ring_rotor, double_exposure |
|
|
| **Perception & counting**: grating_period, anomaly_v2, peak_count, congruent_pair, trace_length, scan_moire |
|
|
| **Localization**: crop_provenance, brightest_blob, sub_rect_swap, retouch_region, circle_fit, print_misreg, gain_center |
|
|
| **Color**: film_color, swatch_rgb, patch_mean_dots, color_count, channel_mix |
|
|
| Note: `trace_length` uses the revised (v2fix) generator with a reference-solver fairness screen. |
|
|
