Datasets:
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:
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, source-annotated categorical preservation examples, and 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 links these annotations and the corresponding model; the preparation scripts are in the code repository. 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.