license: other
task_categories:
- other
tags:
- human-motion
- human-human-interaction
- motion-capture
- phase-decomposition
pretty_name: SocialStructureHHI Phase-Decomposition Dataset
SocialStructureHHI — Phase-Decomposition Dataset
Phase-decomposed two-person interaction data used to train SocialStructureHHI
(Social Structure Matters in 3D Human–Human Interaction Generation). Derived from
Inter-X (ix) and InterHuman (ih); each multi-person sequence is segmented into
ordered phases, and each phase carries per-actor motion and per-actor text.
Files
| file | content |
|---|---|
socialstructure_hhi_motion_train.h5 |
per phase-actor motion samples (train) |
socialstructure_hhi_motion_val.h5 |
per phase-actor motion samples (val) |
socialstructure_hhi_motion_test.h5 |
per phase-actor motion samples (test) |
socialstructure_hhi_text.h5 |
per-sequence phase decomposition (text) |
motion_norm_stats.npz |
per-dim mean/std over the train split (201-dim) |
Outlier phases (>300 frames) are already excluded; only valid samples are packed.
Motion .h5 layout
/<phase_id>_<actor> e.g. "IH_1008_phase000_P1"
attrs: sequence_id, phase_id, actor_id, dataset {ix|ih}, phase_type,
interaction_category, phase_len_bucket, t_start, t_end,
phase_text, global_text
datasets:
target_motion_local [W, 201] the actor's motion for this phase
seq_mask [W] True = real frame, False = padding
contact_frame_mask [W] True = contact frame
prefix_mask [W] True = read-only overlap (inpaint) frame
self_history_local [10, 201] actor's 10-frame history prefix
partner_history_local [10, 201] partner's 10-frame history
partner_prev_local [W, 201] partner motion, previous phase (ego frame)
partner_curr_local [W, 201] partner motion, current phase (ego frame)
partner_prev_seq_mask [W]
partner_curr_seq_mask [W]
partner_prev_time_ids [W+10]
partner_curr_time_ids [W+10]
initial_frame [201] actor's first frame (ego frame)
partner_initial_frame [201] partner's first frame, in actor ego frame
Motion layout (201-dim/frame): root translation (3) + root 6D rotation (6) +
21 body-joint 6D rotations (126) + 22 forward-kinematics joint positions, root-relative (66).
W is the per-phase duration bucket ∈ {30,60,90,120,150,180,240,300} @ 30 fps. All motion
is in the actor's ego-centric frame.
Text .h5 layout
/<split>/<seq_id>
attrs: dataset {ix|ih}, global_text
/<phase_key> e.g. "phase000"
attrs: p1_action, p2_action, phase_type
dataset: frame_range [2] (start, end) in the source sequence
Loading
import h5py, numpy as np
with h5py.File("socialstructure_hhi_motion_val.h5") as f:
g = f["IH_1008_phase000_P1"]
motion = g["target_motion_local"][:] # [W, 201]
text = g.attrs["phase_text"]
print(g.attrs["phase_type"], motion.shape, text)
stats = np.load("motion_norm_stats.npz") # mean[201], std[201]
Links
- 📄 Paper: https://arxiv.org/abs/2606.24255
- 💻 Code: https://github.com/EngineeringAI-LAB/SocialStructureHHI
- 🌐 Project page: https://engineeringai-lab.github.io/SocialStructureHHI/
- 🤗 Model: https://huggingface.co/EngineeringAI-LAB/SocialStructure
Source datasets & citation
Built on Inter-X and InterHuman; please also cite the original datasets.
@misc{wang2026socialstructure,
title = {Social Structure Matters in 3D Human--Human Interaction Generation},
author = {Zhongju Wang and Beier Wang and Yatao Bian and Pichao Wang and Zhi Wang
and Daoyi Dong and Hongdong Li and Huadong Mo and Zhenhong Sun},
year = {2026},
eprint = {2606.24255},
archivePrefix = {arXiv},
primaryClass = {cs.CV}
}