Add phase-decomposition dataset (motion + text h5, norm stats)

README.md

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+---
+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
+
+```python
+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](https://liangxuy.github.io/inter-x/) and
+[InterHuman](https://tr3e.github.io/intergen-page/); please also cite the original datasets.
+
+```bibtex
+@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}
+}
+```

motion_norm_stats.npz

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socialstructure_hhi_motion_test.h5

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socialstructure_hhi_motion_train.h5

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socialstructure_hhi_motion_val.h5

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socialstructure_hhi_text.h5

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