| --- |
| license: other |
| license_name: mixed-per-source |
| license_link: https://huggingface.co/datasets/diffusion-gif/trick-prediction-simulation-data/blob/main/LICENSES/README.md |
| language: |
| - en |
| tags: |
| - robotics |
| - trajectory-prediction |
| - simulation |
| - privacy-minimized |
| - multiple-licenses |
| task_categories: |
| - other |
| configs: |
| - config_name: trajectories |
| default: true |
| data_files: |
| - split: train |
| path: data/train.jsonl |
| - split: heldout |
| path: data/heldout.jsonl |
| - config_name: public-rationales |
| data_files: |
| - split: train |
| path: data/public_rationales.jsonl |
| --- |
| # Public simulation observations, EEF trajectories and teacher rationale drafts |
|
|
| **17,421 prepared simulation records with actual eight-frame observations**: |
| 14,253 train / 3,168 heldout, from RoboTwin2.0 (five robot bodies) and |
| DexMimicGen (bimanual simulation). This is a usable visual subset of a frozen |
| research collection, **not its complete 356.85GB original-media export** and |
| not a mirror of the complete upstream HDF5/asset datasets. |
|
|
| The 6,219 accompanying public teacher rationales include 3,465 machine-screened |
| weak-supervision drafts and 2,754 held-for-review replies. Human-approved gold |
| count is zero; faithfulness and robot-policy/paper accuracy are not verified. |
| No model inference/training or new teacher API calls were performed here. |
|
|
| ## Contents and protocol |
|
|
| - `data/train.jsonl`, `data/heldout.jsonl`: anonymous IDs, public task/body/source |
| labels, split, coordinate arrays and tar/member references. |
| - `data/archives/*.tar`: NPZ observations, each with `f0` ... `f7` containing the |
| **original prepared JPEG byte arrays**. All frames are observed-history |
| frames, not future footage or model predictions. No resizing/re-encoding. |
| - `data/public_rationales.jsonl`: only published rationale text, anonymous |
| sample ID and explicit draft/review status; no raw API/account metadata. |
| - `MEDIA_MANIFEST.jsonl`, `SHARDS.json`, `PUBLIC_RELEASE_MANIFEST.json` and |
| `CHECKSUMS.sha256`: per-member/per-frame/whole-file checksums. |
| - `tools/`: export, schema validation and a minimal CPU sample reader. |
|
|
| Coordinates are normalized-1000 image-grid XY. `history` and `future_delta` |
| are arm-first `[forecast_arm_count][8][2]`; `anchor` is the last observed XY. |
| Absolute future XY = anchor + future_delta. Each forecast arm has exactly one |
| fixed local EEF origin (`left_eef_origin` or `right_eef_origin`), not five |
| legacy body points. The source split and prepared projection protocol are |
| retained and are not asserted to be the official upstream benchmark split. |
| Source episode-group IDs are pseudonymized and remain separate across splits. |
| |
| **The published legacy SFT step900 / GRPO step250 model weights were not trained |
| on this newer joint/fixed-EEF release.** Reproducing those historical weights |
| requires their original mix6 prompt/multi-point data protocol; do not silently |
| substitute this data or claim new model results. |
| |
| ## Download and read (no HF login required) |
| |
| ```python |
| from huggingface_hub import snapshot_download |
| root = snapshot_download( |
| "diffusion-gif/trick-prediction-simulation-data", repo_type="dataset", |
| local_dir="./trick-prediction-simulation-data" |
| ) |
| ``` |
| |
| ```bash |
| pip install -r requirements.txt |
| python tools/validate_release.py --root /your/downloaded/repository |
| python tools/load_sample.py --root /your/downloaded/repository --split train --index 0 |
| # Optional observed-history GIF; never overwrites an existing output: |
| python tools/load_sample.py --root /your/downloaded/repository --index 0 --gif sample.gif |
| ``` |
|
|
| Use `local_dir` for a physical download folder rather than cache symlinks. |
| Known local HF download-cache metadata are ignored by the offline validator; |
| they are not part of the published payload. Dataset Viewer/load_dataset users |
| can select `trajectories` or `public-rationales` explicitly to avoid mixing the |
| two different JSON schemas. |
| |
| ## Observed simulation examples (not predictions) |
| |
|  |
| |
| Six observed-history GIFs and their anonymous record references are listed in |
| `previews/manifest.json`. They show simulation observations, not real people, |
| real-world camera footage, ground-truth future videos or model predictions. |
| |
| ## Privacy/release boundary |
| |
| Source record/episode identifiers, original filenames, absolute machine paths, |
| source timestamps, raw caption/instruction fields, credentials, HMAC key/ID |
| mapping, account/API response IDs/usage/cost metadata, audio, logs and model |
| weights are excluded. Every frame was decoded and checked for EXIF and other |
| non-allowlisted image metadata. NPZ and tar metadata are rebuilt deterministically. |
| |
| This is a **simulation-only, field-minimized release**. It is not a claim that |
| all original real-world datasets/videos have been anonymized, nor a guarantee |
| against source-scene matching for pixels that originate in public simulations. |
| |
| Ego-Exo4D, FSD and ShareRobot original media remain outside this release pending |
| separate redistribution permission and full visual/privacy review. Downloadable |
| source data and model licenses do not automatically grant rehosting rights. |
| |
| ## Licensing and quality |
| |
| Use the per-record license and `LICENSES/README.md`: RoboTwin records retain MIT |
| and upstream attribution; DexMimicGen records retain CC-BY-NC-SA-4.0 restrictions. |
| These are source licenses, not a new universal license grant for all research data. |
| Checksums/schema validity do not demonstrate rationale correctness, causal |
| faithfulness, policy safety or reproduced model/paper performance. |
| |
