Hugging Face's logo

Datasets:
nvidia
/
form-hoi

Tasks:
Robotics
Modalities:
Video
Size:
1K<n<10K
Tags:
video
depth
human
object
reconstruction
locomotion
License:
Dataset card Files
xet
 Community
dzou-nv commited on
Commit
cba1f5c
·
1 Parent(s): 019b8fa

Release FORM-HOI: 4,135 episodes

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Files changed (50) hide show
  1. README.md +2 -2
  2. data/2026-02-20_17-04-41_blue_trash_can_drag_003.tar +3 -0
  3. data/2026-02-20_17-23-03_blue_trash_can_drag_004.tar +3 -0
  4. data/2026-02-20_17-25-33_blue_trash_can_pick_and_place_004.tar +3 -0
  5. data/2026-02-20_17-27-05_brown_cardboard_box_pick_and_place_004.tar +3 -0
  6. data/2026-02-20_17-35-04_blue_trash_can_drag_005.tar +3 -0
  7. data/2026-02-20_17-36-47_blue_trash_can_drag_006.tar +3 -0
  8. data/2026-02-20_17-37-45_blue_trash_can_drag_007.tar +3 -0
  9. data/2026-02-20_17-39-11_blue_trash_can_pick_and_place_005.tar +3 -0
  10. data/2026-02-20_17-40-37_blue_trash_can_pick_and_place_007.tar +3 -0
  11. data/2026-02-20_17-41-48_brown_cardboard_box_pick_and_place_005.tar +3 -0
  12. data/2026-02-20_17-42-32_brown_cardboard_box_pick_and_place_006.tar +3 -0
  13. data/2026-02-20_17-43-21_brown_cardboard_box_pick_and_place_007.tar +3 -0
  14. data/2026-02-27_16-14-21_pick_and_place_skinny_wood_chair.tar +3 -0
  15. data/2026-02-27_16-16-20_pick_and_place_skinny_wood_chair_02.tar +3 -0
  16. data/2026-02-27_16-18-44_pick_and_place_skinny_wood_chair_03.tar +3 -0
  17. data/2026-02-27_16-22-05_pick_and_place_skinny_wood_chair_04.tar +3 -0
  18. data/2026-02-27_16-25-23_sit_skinny_wood_chair_01.tar +3 -0
  19. data/2026-02-27_16-26-41_sit_skinny_wood_chair_02.tar +3 -0
  20. data/2026-02-27_16-28-02_sit_skinny_wood_chair_03.tar +3 -0
  21. data/2026-02-27_16-32-32_stand_and_touch_skinny_wood_chair_01.tar +3 -0
  22. data/2026-02-27_16-33-28_stand_and_touch_skinny_wood_chair_02.tar +3 -0
  23. data/2026-02-27_16-34-47_stand_and_touch_skinny_wood_chair_03.tar +3 -0
  24. data/2026-02-27_16-36-09_stand_and_touch_skinny_wood_chair_03.tar +3 -0
  25. data/2026-02-27_16-37-22_stand_and_touch_skinny_wood_chair_04.tar +3 -0
  26. data/2026-02-27_16-40-45_pick_and_place_blue_trash_can_01.tar +3 -0
  27. data/2026-02-27_16-42-20_pick_and_place_blue_trash_can_02.tar +3 -0
  28. data/2026-02-27_16-43-18_pick_and_place_blue_trash_can_03.tar +3 -0
  29. data/2026-02-27_16-44-50_pick_and_place_blue_trash_can_04.tar +3 -0
  30. data/2026-03-06_10-24-18_snack_box_pick_and_place_01.tar +3 -0
  31. data/2026-03-06_10-25-15_snack_box_pick_and_place_02.tar +3 -0
  32. data/2026-03-06_10-26-39_snack_box_pick_and_place_03.tar +3 -0
  33. data/2026-03-06_10-29-02_snack_box_place_throw_place_02.tar +3 -0
  34. data/2026-03-06_10-30-22_snack_box_place_throw_place_03.tar +3 -0
  35. data/2026-03-06_10-31-33_snack_box_pick_01.tar +3 -0
  36. data/2026-03-06_10-32-31_snack_box_pick_02.tar +3 -0
  37. data/2026-03-06_10-33-59_snack_box_pick_03.tar +3 -0
  38. data/2026-03-06_10-59-51_dark_blue_book_pick_handover_place_01.tar +3 -0
  39. data/2026-03-06_11-00-48_dark_blue_book_pick_handover_place_02.tar +3 -0
  40. data/2026-03-06_11-01-57_dark_blue_book_pick_handover_place_03.tar +3 -0
  41. data/2026-03-06_11-05-02_dark_blue_book_pick_tuck_place_01.tar +3 -0
  42. data/2026-03-06_11-08-06_dark_blue_book_pick_tuck_place_03.tar +3 -0
  43. data/2026-03-06_11-11-04_dark_blue_book_pick_and_place_02.tar +3 -0
  44. data/2026-03-06_11-30-44_tennis_ball_pick_bounce_place_01.tar +3 -0
  45. data/2026-03-06_14-20-25_big_brown_cardboard_box_pick_and_place_02.tar +3 -0
  46. data/2026-03-06_15-09-31_big_brown_cardboard_box_pick_and_place_03.tar +3 -0
  47. data/2026-03-06_15-13-01_big_brown_cardboard_box_tuck_under_arm_place_02.tar +3 -0
  48. data/2026-03-06_15-14-12_big_brown_cardboard_box_tuck_under_arm_place_03.tar +3 -0
  49. data/2026-03-06_15-16-18_big_brown_cardboard_box_place_on_ground_01.tar +3 -0
  50. data/2026-03-06_15-18-31_big_brown_cardboard_box_place_on_ground_03.tar +3 -0
README.md CHANGED
@@ -65,8 +65,8 @@ This dataset is ideal for training HOI reconstruction models like [CARI4D](https
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  | Human QC results | `failure_segments.json` half-open ranges of frame indices where human/object pose annotation is deemed below standard |
66
 
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  ## Dataset Quantification <br>
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- ~4000 episodes, each containing all assets specified above. <br>
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- In current storage formats, we estimated 4TB storage size.
70
 
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  ## Reference(s): <br>
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  Technical report is in progress. Code is integrated in the [video_to_data repo](https://github.com/nvidia-isaac/video_to_data/tree/main/reconstruction).
 
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  | Human QC results | `failure_segments.json` half-open ranges of frame indices where human/object pose annotation is deemed below standard |
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  ## Dataset Quantification <br>
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+ 4,135 episodes, each containing the assets specified above. <br>
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+ The downloadable sequence archives total 4,503,845,089,280 bytes (approximately 4.504 TB), excluding release manifests.
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  ## Reference(s): <br>
72
  Technical report is in progress. Code is integrated in the [video_to_data repo](https://github.com/nvidia-isaac/video_to_data/tree/main/reconstruction).
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