| --- |
| task_categories: |
| - visual-question-answering |
| tags: |
| - chronoreplay |
| - spatial-reasoning |
| - causal-video |
| size_categories: |
| - 10K<n<100K |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train.parquet |
| --- |
| |
| # ChronoReplay-Train |
|
|
| Portable training annotations for **ChronoReplay: One Answer Interface Is Not |
| Enough for Streaming Spatial Intelligence**. |
|
|
| This release contains all 39,561 selected serialized training records with |
| their original questions, answers, order, loss weights, and supervised-turn |
| masks. It contains **annotations and relative media references, not the |
| referenced image/video files**. |
|
|
| | Supervision | Serialized records | |
| |---|---:| |
| | Categorical preservation | 30,635 | |
| | Numeric geometry / camera motion | 2,545 | |
| | OST causal episodes | 6,381 | |
| | Total | 39,561 | |
|
|
| The OST episodes contain 45,006 supervised trajectory turns. The full pool |
| references 946,256 unique media paths. This is a reference count; it does not |
| assert that all media are present in this repository or independently mirrored. |
|
|
| ## Files |
|
|
| - `data/train.parquet`: portable native training records. |
| - `manifests/replay_selection.json`: original IDs, ordering, text hashes, |
| observation counts, weights, and supervision masks. |
| - `manifests/media_paths.jsonl.gz`: unique relative paths referenced by the data. |
| - `release_manifest.json`: conversion checks, component counts, and data hashes. |
|
|
| Server-specific media prefixes were replaced with relative paths under `media/`. |
| Internal conversion-certificate columns were omitted. Every native question |
| and target was checked against the frozen per-record text hash; identifiers, |
| ordering, weights, masks, and image counts were also checked for all records. |
| The portable Parquet has a new file hash because its paths and schema differ |
| from the original server artifact. No new samples or target answers were generated. |
|
|
| ## Use with the code release |
|
|
| Download the annotations and obtain the source media under their applicable |
| terms. Arrange media under the relative paths listed in the records. From the |
| ChronoReplay code release: |
|
|
| ```bash |
| python -m scripts.materialize_frozen \ |
| --candidate downloaded/data/train.parquet \ |
| --selection downloaded/manifests/replay_selection.json \ |
| --media-root downloaded \ |
| --output data/replay |
| ``` |
|
|
| The materializer verifies the frozen records and decodes every referenced |
| image before declaring the pool ready. This annotations-only upload is not |
| a self-contained media distribution. |
|
|
| ## Sources and terms |
|
|
| Sources include the [OST-Bench training release](https://huggingface.co/datasets/rbler/OST-Bench), |
| source-annotated categorical preservation examples, and |
| [ARKitScenes](https://github.com/apple/ARKitScenes) camera-rotation and |
| corrected-camera geometry supervision. Original source terms continue to apply. |
| The OST training build records CC-BY-NC-4.0 for that component; this statement |
| does not assign that license to the entire mixed-source pool. |
|
|
| The [ChronoReplay collection](https://huggingface.co/collections/mis2/chronoreplay-6adc88dc1e468c2d2ae9bb44) |
| links these annotations and the corresponding model; the preparation scripts |
| are in the [code repository](https://github.com/yihaohu0118/ChronoReplay). |
| This card does not assign a new blanket license to third-party source material. |
| Media availability and current pixel identity have not been revalidated by |
| this annotation conversion. No evaluation predictions or score artifacts are bundled. |
|
|
| See `CITATION.cff` for citation information. |
|
|
