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Upload verified portable ChronoReplay training annotations

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.gitattributes CHANGED
@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ manifests/replay_selection.json filter=lfs diff=lfs merge=lfs -text
CITATION.cff ADDED
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+ cff-version: 1.2.0
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+ message: "Please cite ChronoReplay when using this implementation."
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+ title: "ChronoReplay: One Answer Interface Is Not Enough for Streaming Spatial Intelligence"
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+ type: software
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+ authors:
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+ - family-names: Hu
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+ given-names: Yihao
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+ - family-names: Lin
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+ given-names: Yitong
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+ - family-names: Wang
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+ given-names: Pan
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+ - family-names: Wen
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+ given-names: Zhihao
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+ - family-names: Wang
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+ given-names: Hang
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+ - family-names: Zhao
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+ given-names: Yiwen
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+ - family-names: Liu
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+ given-names: Deyuan
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+ - family-names: Li
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+ given-names: Yutong
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+ - family-names: WAN
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+ given-names: Mingda
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+ - family-names: Mao
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+ given-names: Yuchen
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+ - family-names: Lin
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+ given-names: Tao
README.md ADDED
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+ ---
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+ task_categories:
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+ - visual-question-answering
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+ tags:
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+ - chronoreplay
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+ - spatial-reasoning
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+ - causal-video
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+ size_categories:
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+ - 10K<n<100K
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train.parquet
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+ ---
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+
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+ # ChronoReplay-Train
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+
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+ Portable training annotations for **ChronoReplay: One Answer Interface Is Not
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+ Enough for Streaming Spatial Intelligence**.
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+
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+ This release contains all 39,561 selected serialized training records with
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+ their original questions, answers, order, loss weights, and supervised-turn
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+ masks. It contains **annotations and relative media references, not the
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+ referenced image/video files**.
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+
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+ | Supervision | Serialized records |
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+ |---|---:|
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+ | Categorical preservation | 30,635 |
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+ | Numeric geometry / camera motion | 2,545 |
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+ | OST causal episodes | 6,381 |
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+ | Total | 39,561 |
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+
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+ The OST episodes contain 45,006 supervised trajectory turns. The full pool
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+ references 946,256 unique media paths. This is a reference count; it does not
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+ assert that all media are present in this repository or independently mirrored.
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+
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+ ## Files
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+
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+ - `data/train.parquet`: portable native training records.
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+ - `manifests/replay_selection.json`: original IDs, ordering, text hashes,
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+ observation counts, weights, and supervision masks.
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+ - `manifests/media_paths.jsonl.gz`: unique relative paths referenced by the data.
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+ - `release_manifest.json`: conversion checks, component counts, and data hashes.
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+
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+ Server-specific media prefixes were replaced with relative paths under `media/`.
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+ Internal conversion-certificate columns were omitted. Every native question
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+ and target was checked against the frozen per-record text hash; identifiers,
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+ ordering, weights, masks, and image counts were also checked for all records.
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+ The portable Parquet has a new file hash because its paths and schema differ
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+ from the original server artifact. No new samples or target answers were generated.
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+
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+ ## Use with the code release
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+
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+ Download the annotations and obtain the source media under their applicable
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+ terms. Arrange media under the relative paths listed in the records. From the
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+ ChronoReplay code release:
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+
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+ ```bash
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+ python -m scripts.materialize_frozen \
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+ --candidate downloaded/data/train.parquet \
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+ --selection downloaded/manifests/replay_selection.json \
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+ --media-root downloaded \
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+ --output data/replay
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+ ```
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+
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+ The materializer verifies the frozen records and decodes every referenced
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+ image before declaring the pool ready. This annotations-only upload is not
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+ a self-contained media distribution.
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+
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+ ## Sources and terms
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+
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+ Sources include the [OST-Bench training release](https://huggingface.co/datasets/rbler/OST-Bench),
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+ source-annotated categorical preservation examples, and
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+ [ARKitScenes](https://github.com/apple/ARKitScenes) camera-rotation and
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+ corrected-camera geometry supervision. Original source terms continue to apply.
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+ The OST training build records CC-BY-NC-4.0 for that component; this statement
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+ does not assign that license to the entire mixed-source pool.
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+
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+ The [ChronoReplay collection](https://huggingface.co/collections/mis2/chronoreplay-6adc88dc1e468c2d2ae9bb44)
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+ links these annotations and the corresponding model; the preparation scripts
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+ are in the [code repository](https://github.com/yihaohu0118/ChronoReplay).
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+ This card does not assign a new blanket license to third-party source material.
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+ Media availability and current pixel identity have not been revalidated by
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+ this annotation conversion. No evaluation predictions or score artifacts are bundled.
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+
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+ See `CITATION.cff` for citation information.
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+ {
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+ "format": "chronoreplay.portable_annotation_release.v1",
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+ "rows": 39561,
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+ "unique_referenced_media": 946256,
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+ "image_references": 1292579,
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+ "components": {
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+ "pure_vlm_main_evidence_dense": 9000,
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+ "source_corrected_camera_geometry_camera_obj_abs_dist": 800,
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+ "source_gt_uniform_causal_direct_answer": 3635,
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+ "source_verified_arkit_pose_numeric_camera_rotation": 945,
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+ "source_corrected_camera_geometry_camera_displacement": 800,
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+ "pure_vlm_main_evidence_context": 9000,
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+ "long_context_direct_answer": 9000,
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+ "official_ost_train_multiturn_scene": 6381
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+ },
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+ "target_contracts": {
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+ "letter_only": 30635,
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+ "numeric_answer": 2545,
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+ "causal_multiturn_mixed_spatial_answer": 6381
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+ },
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+ "source_train_sha256": "887c25e576bc131cf4655394d9d64f1dc039447e628941c7ad6262840f869e44",
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+ "portable_train_sha256": "9a559e0e30dc0f81ee3894f72b5a63a8160e87542b41b392bd14e884c9e81495",
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+ "selection_sha256": "5cf045ed218855a29e231a3d3411a25bc0430d1c5e395ad3ab96b292868dddd7",
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+ "verified": [
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+ "all_row_ids_and_order",
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+ "all_native_text_hashes",
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+ "all_loss_weights",
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+ "all_supervision_masks",
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+ "all_image_counts"
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+ ],
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+ "transforms": [
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+ "absolute_media_paths_to_relative_paths",
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+ "omit_internal_conversion_certificates"
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+ ],
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+ "media_files_included": false,
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+ "current_media_existence_or_pixel_identity_verified": false
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+ }