Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
Previous task error: I/O error: I/O error: Permission denied (os error 13)
Error code:   UnexpectedError

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

video
video
label
class label
0G-131_select_next_figure_increasing_size_sequence_data-generator
0G-131_select_next_figure_increasing_size_sequence_data-generator
0G-131_select_next_figure_increasing_size_sequence_data-generator
0G-131_select_next_figure_increasing_size_sequence_data-generator
0G-131_select_next_figure_increasing_size_sequence_data-generator
1G-134_select_next_figure_large_small_alternating_sequence_data-generator
1G-134_select_next_figure_large_small_alternating_sequence_data-generator
1G-134_select_next_figure_large_small_alternating_sequence_data-generator
1G-134_select_next_figure_large_small_alternating_sequence_data-generator
1G-134_select_next_figure_large_small_alternating_sequence_data-generator
4G-138_spot_unique_non_repeated_color_data-generator
4G-138_spot_unique_non_repeated_color_data-generator
4G-138_spot_unique_non_repeated_color_data-generator
4G-138_spot_unique_non_repeated_color_data-generator
4G-138_spot_unique_non_repeated_color_data-generator
5G-13_grid_number_sequence_data-generator
5G-13_grid_number_sequence_data-generator
5G-13_grid_number_sequence_data-generator
5G-13_grid_number_sequence_data-generator
5G-13_grid_number_sequence_data-generator
8G-158_identify_all_hollow_points_data-generator
8G-158_identify_all_hollow_points_data-generator
8G-158_identify_all_hollow_points_data-generator
8G-158_identify_all_hollow_points_data-generator
8G-158_identify_all_hollow_points_data-generator
9G-15_grid_avoid_obstacles_data-generator
9G-15_grid_avoid_obstacles_data-generator
9G-15_grid_avoid_obstacles_data-generator
9G-15_grid_avoid_obstacles_data-generator
9G-15_grid_avoid_obstacles_data-generator
15G-16_grid_go_through_block_data-generator
15G-16_grid_go_through_block_data-generator
15G-16_grid_go_through_block_data-generator
15G-16_grid_go_through_block_data-generator
15G-16_grid_go_through_block_data-generator
18G-18_grid_shortest_path_data-generator
18G-18_grid_shortest_path_data-generator
18G-18_grid_shortest_path_data-generator
18G-18_grid_shortest_path_data-generator
18G-18_grid_shortest_path_data-generator
20G-194_construct_concentric_ring_data-generator
20G-194_construct_concentric_ring_data-generator
20G-194_construct_concentric_ring_data-generator
20G-194_construct_concentric_ring_data-generator
20G-194_construct_concentric_ring_data-generator
27G-21_multiple_occlusions_vertical_data-generator
27G-21_multiple_occlusions_vertical_data-generator
27G-21_multiple_occlusions_vertical_data-generator
27G-21_multiple_occlusions_vertical_data-generator
27G-21_multiple_occlusions_vertical_data-generator
36G-25_seperate_object_spinning_data-generator
36G-25_seperate_object_spinning_data-generator
36G-25_seperate_object_spinning_data-generator
36G-25_seperate_object_spinning_data-generator
36G-25_seperate_object_spinning_data-generator
38G-29_chart_extreme_with_data_data-generator
38G-29_chart_extreme_with_data_data-generator
38G-29_chart_extreme_with_data_data-generator
38G-29_chart_extreme_with_data_data-generator
38G-29_chart_extreme_with_data_data-generator
39G-31_directed_graph_navigation_data-generator
39G-31_directed_graph_navigation_data-generator
39G-31_directed_graph_navigation_data-generator
39G-31_directed_graph_navigation_data-generator
39G-31_directed_graph_navigation_data-generator
40G-39_attention_shift_different_data-generator
40G-39_attention_shift_different_data-generator
40G-39_attention_shift_different_data-generator
40G-39_attention_shift_different_data-generator
40G-39_attention_shift_different_data-generator
41G-3_stable_sort_data-generator
41G-3_stable_sort_data-generator
41G-3_stable_sort_data-generator
41G-3_stable_sort_data-generator
41G-3_stable_sort_data-generator
42G-41_grid_highest_cost_data-generator
42G-41_grid_highest_cost_data-generator
42G-41_grid_highest_cost_data-generator
42G-41_grid_highest_cost_data-generator
42G-41_grid_highest_cost_data-generator
43G-43_understand_scene_structure_data-generator
43G-43_understand_scene_structure_data-generator
43G-43_understand_scene_structure_data-generator
43G-43_understand_scene_structure_data-generator
43G-43_understand_scene_structure_data-generator
44G-45_key_door_matching_data-generator
44G-45_key_door_matching_data-generator
44G-45_key_door_matching_data-generator
44G-45_key_door_matching_data-generator
44G-45_key_door_matching_data-generator
46G-51_predict_next_color_data-generator
46G-51_predict_next_color_data-generator
46G-51_predict_next_color_data-generator
46G-51_predict_next_color_data-generator
46G-51_predict_next_color_data-generator
48G-5_multi_object_placement_data-generator
48G-5_multi_object_placement_data-generator
48G-5_multi_object_placement_data-generator
48G-5_multi_object_placement_data-generator
48G-5_multi_object_placement_data-generator
End of preview.

VBVR-Pro strict-sweep scored videos

This media archive backs the interactive pufanyi/vbvrpro_output Space.

It contains 10,500 scorer-input MP4 files:

  • 20 DanceGRPO results: 5 checkpoints × 4 sampling modes × 500 samples
  • 1 SFT epoch-1 baseline: 500 samples
  • 100 EvalKit-supported tasks, with 5 samples per task and run
  • 1024×1024, 161-frame H.264 videos encoded at 33 FPS

Paths follow:

videos/{run_id}/{domain_folder}/{task_name}/{video_idx}.mp4

The Space contains the task catalog, exact per-video scores, baseline deltas, sample-specific prompts, run summaries, and copies of the authoritative scorer JSON files.

Evaluation provenance:

  • VBVR split-manifest SHA-256: 326f7bda3743e9c66dc0c29445661a5dda4ad0cee4cb8838c3fcfd0c4a149deb
  • VBVR EvalKit main_v2 revision: 42a1593d8e493370c768be8e43646f0e0a9d8525

“Out-of-Domain” follows the original VBVR benchmark naming. Those task families were present in this RL training dataset, so the label must not be interpreted as zero-shot task generalization. The 500 scored benchmark samples are sample-disjoint from the manifest training IDs.

Downloads last month
78