Restore release metadata without third-party simulation data
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LICENSE
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ReMind Dataset Release License Notice
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Copyright 2026 Applied Intuition, Inc.
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1. ReMind-authored material
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The caption_v2 annotations, filtering and audit metadata, and original
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selection and arrangement of the release manifests authored by Applied
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Intuition, Inc. are licensed under the Creative Commons
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Attribution-NonCommercial 4.0 International Public License (CC BY-NC 4.0).
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The full license text is available at:
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https://creativecommons.org/licenses/by-nc/4.0/legalcode.en
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SPDX identifier: CC-BY-NC-4.0
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2. Underlying media and third-party material
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This notice does not grant or replace rights in the underlying videos, audio,
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source-dataset annotations, model outputs, simulator assets, trademarks, or
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other third-party material referenced by the manifests. Those materials remain
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subject to their respective source licenses, terms of use, and attribution
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requirements. This includes material originating from or derived through the
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Helios, InSpatio, and Kubric source families and any upstream media
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sources represented within them.
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Users must independently ensure that their access, redistribution, and use of
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each underlying object is permitted by its applicable terms. Where an
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underlying source imposes terms that are more restrictive than this notice,
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the more restrictive terms control for that source material.
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3. No additional rights
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No patent, trademark, privacy, publicity, or other rights are granted by this
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notice. The material is provided without warranties or conditions of any kind,
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to the extent permitted by applicable law.
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README.md
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---
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pretty_name: ReMind Dynamic-Memory Training Data
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license: other
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task_categories:
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- text-to-video
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- image-to-video
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language:
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- en
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tags:
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- video-generation
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- world-model
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- camera-control
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- temporal-dynamics
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---
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# ReMind Dynamic-Memory Training Data
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Dataset release for **Teaching Video Generators to Remember: Eliciting Dynamic
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Memory for Out-of-Sight State Evolution**.
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This is a manifest-first release of generated and simulated video data used for
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ReMind training. It contains three source families:
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1. physics-filtered videos generated with Helios;
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2. pair-fixed InSpatio camera-augmentation videos; and
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3. Kubric camera-augmentation renders.
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All released manifests use the production `caption_v2` captions. These captions
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describe scene content, physical dynamics, and temporal state changes without
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encoding camera motion in text.
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## Release manifests
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| Component | Released rows | Hugging Face data | Production `caption_v2` manifest |
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|---|---:|---|---|
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| Helios generated, physics-filtered | 1,027,330 | `data/helios/shard-*.tar` | `manifests/train_manifest_helios.jsonl.gz` |
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| InSpatio camera augmentation, pair-fixed | 265,945 | `data/inspatio/shard-*.tar` | `manifests/train_manifest_inspatio_pairfix.jsonl.gz` |
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| Kubric camera augmentation | 126,057 | `data/kubric_camera_aug/shard-*.tar` | `manifests/train_manifest_kubric_camera_aug.jsonl.gz` |
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The three manifests contain 1,419,332 released rows in total. The manifests are
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authoritative for the released subset.
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The Helios, InSpatio, and Kubric camera-augmentation files use
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WebDataset-style tar shards. Each sample has a zero-padded key and includes an
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`.mp4` video plus a `.json` annotation. Camera-conditioned samples additionally
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include `.camera.npz`.
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Depth, segmentation, and other non-release sidecars are excluded. In
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particular, the InSpatio release contains the generated RGB video and paired
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camera trajectory, but not depth videos or raw pipeline metadata.
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## Critical InSpatio pairing note
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Only use
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`manifests/train_manifest_inspatio_pairfix.jsonl.gz`. It corrects the
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historical 8×32 shard-export transpose and keeps each packed video paired with
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its own identity, caption, and DA3 camera trajectory. Do not substitute an
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InSpatio manifest dated before 2026-07-16.
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The pair-fixed manifest contains:
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| Trajectory family | Rows |
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|---|---:|
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| pan | 132,581 |
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| loop | 93,658 |
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| walk | 39,706 |
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Each released InSpatio sample is self-contained: its `.mp4` and `.camera.npz`
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members refer to the same rendered clip.
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## Manifest schema
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Every JSONL row includes at least:
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- `video`: a `tar+hf://datasets/...!member` reference into this repository;
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- `caption`: the production motion- and physics-focused `caption_v2`;
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- `source`: source-family identifier;
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- `id`: stable sample identity; and
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- `caption_v2_meta`: caption audit and filtering metadata.
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Depending on the source, rows may also contain `fps`, `num_frames`,
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`trajectory_profile`, `camera_npz`, `packed_tar_case_id`, or other camera and
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archive metadata. Consumers should preserve unknown fields rather than
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projecting rows onto a smaller schema.
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Representative `caption_v2_meta` fields include:
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- `temporal_dynamics`;
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- `physics_plausibility` for generated Helios data; and
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- `n_moving_objects` for simulated data.
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## Filtering policy
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- Helios rows with low physics plausibility, static content, or unsuitable
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machine-cyclic motion were removed.
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- InSpatio captions are inherited from their source clips after source mapping;
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camera geometry remains in separate pose fields.
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- True-static simulation examples are removed, while camera-tour data is
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exempt from static-video filtering.
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- Camera-motion instructions are scrubbed from captions because camera control
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is represented by camera metadata, not text.
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## Intended use
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The dataset is intended for non-commercial research on video generation,
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world models, temporal dynamics, camera control, occlusion recovery, and
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out-of-sight state evolution. Captions and metadata are automatically produced
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and may contain errors. Users should audit samples for their application and
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follow the terms of every underlying media source.
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## License
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See `LICENSE`. ReMind-authored `caption_v2` annotations, filtering/audit
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metadata, and manifest arrangement are available under CC BY-NC 4.0.
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Underlying videos and third-party metadata are not relicensed and remain under
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their respective source terms.
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## Citation
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```bibtex
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@article{xu2026teaching,
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title={Teaching Video Generators to Remember: Eliciting Dynamic Memory for Out-of-Sight State Evolution},
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author={Xu, Tianshuo and Xie, Yichen and Meng, Depu and Peng, Chensheng and Herau, Quentin and Jiang, Bo and Hu, Yihan and Zhan, Wei},
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journal={arXiv preprint arXiv:2605.25333},
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year={2026}
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}
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```
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