README.md

metadata

pretty_name: ReMind Dynamic-Memory Training Data
license: other
task_categories:
  - text-to-video
  - image-to-video
language:
  - en
tags:
  - video-generation
  - world-model
  - camera-control
  - temporal-dynamics

ReMind Dynamic-Memory Training Data

Dataset release for Teaching Video Generators to Remember: Eliciting Dynamic Memory for Out-of-Sight State Evolution.

This is a manifest-first release of generated and simulated video data used for ReMind training. It contains three source families:

1. physics-filtered videos generated with Helios;
2. pair-fixed InSpatio camera-augmentation videos; and
3. Kubric camera-augmentation renders.

All released manifests use the production caption_v2 captions. These captions describe scene content, physical dynamics, and temporal state changes without encoding camera motion in text.

Release manifests

Component	Released rows	Hugging Face data	Production caption_v2 manifest
Helios generated, physics-filtered	1,027,329	data/helios/shard-*.tar	manifests/train_manifest_helios.jsonl.gz
InSpatio camera augmentation, pair-fixed	265,945	data/inspatio/shard-*.tar	manifests/train_manifest_inspatio_pairfix.jsonl.gz
Kubric camera augmentation	126,057	data/kubric_camera_aug/shard-*.tar	manifests/train_manifest_kubric_camera_aug.jsonl.gz

The three manifests contain 1,419,331 released rows in total. The manifests are authoritative for the released subset.

The Helios, InSpatio, and Kubric camera-augmentation files use WebDataset-style tar shards. Each sample has a zero-padded key and includes an .mp4 video plus a .json annotation. Camera-conditioned samples additionally include .camera.npz.

Depth, segmentation, and other non-release sidecars are excluded. In particular, the InSpatio release contains the generated RGB video and paired camera trajectory, but not depth videos or raw pipeline metadata.

Critical InSpatio pairing note

Only use manifests/train_manifest_inspatio_pairfix.jsonl.gz. It corrects the historical 8×32 shard-export transpose and keeps each packed video paired with its own identity, caption, and DA3 camera trajectory. Do not substitute an InSpatio manifest dated before 2026-07-16.

The pair-fixed manifest contains:

Trajectory family	Rows
pan	132,581
loop	93,658
walk	39,706

Each released InSpatio sample is self-contained: its .mp4 and .camera.npz members refer to the same rendered clip.

Manifest schema

Every JSONL row includes at least:

• video: a tar+hf://datasets/...!member reference into this repository;
• caption: the production motion- and physics-focused caption_v2;
• source: source-family identifier;
• id: stable sample identity; and
• caption_v2_meta: caption audit and filtering metadata.

Depending on the source, rows may also contain fps, num_frames, trajectory_profile, camera_npz, packed_tar_case_id, or other camera and archive metadata. Consumers should preserve unknown fields rather than projecting rows onto a smaller schema.

Representative caption_v2_meta fields include:

• temporal_dynamics;
• physics_plausibility for generated Helios data; and
• n_moving_objects for simulated data.

Filtering policy

• Helios rows with low physics plausibility, static content, or unsuitable machine-cyclic motion were removed.
• InSpatio captions are inherited from their source clips after source mapping; camera geometry remains in separate pose fields.
• True-static simulation examples are removed, while camera-tour data is exempt from static-video filtering.
• Camera-motion instructions are scrubbed from captions because camera control is represented by camera metadata, not text.

Intended use

The dataset is intended for non-commercial research on video generation, world models, temporal dynamics, camera control, occlusion recovery, and out-of-sight state evolution. Captions and metadata are automatically produced and may contain errors. Users should audit samples for their application and follow the terms of every underlying media source.

License

See LICENSE. ReMind-authored caption_v2 annotations, filtering/audit metadata, and manifest arrangement are available under CC BY-NC 4.0. Underlying videos and third-party metadata are not relicensed and remain under their respective source terms.

Citation

@article{xu2026teaching,
  title={Teaching Video Generators to Remember: Eliciting Dynamic Memory for Out-of-Sight State Evolution},
  author={Xu, Tianshuo and Xie, Yichen and Meng, Depu and Peng, Chensheng and Herau, Quentin and Jiang, Bo and Hu, Yihan and Zhan, Wei},
  journal={arXiv preprint arXiv:2605.25333},
  year={2026}
}