Datasets:
Upload verified portable ChronoReplay training annotations
Browse files- .gitattributes +1 -0
- CITATION.cff +27 -0
- README.md +87 -0
- data/train.parquet +3 -0
- manifests/media_paths.jsonl.gz +3 -0
- manifests/replay_selection.json +3 -0
- release_manifest.json +37 -0
.gitattributes
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@@ -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
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CITATION.cff
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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
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README.md
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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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# ChronoReplay-Train
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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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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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| 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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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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## Files
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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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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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## Use with the code release
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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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```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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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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## Sources and terms
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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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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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See `CITATION.cff` for citation information.
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data/train.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:9a559e0e30dc0f81ee3894f72b5a63a8160e87542b41b392bd14e884c9e81495
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size 11345078
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manifests/media_paths.jsonl.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:b8540e285b1ccd1b68ff83ec843673e06c54ee685e88484188d97561175f52d0
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size 3724739
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manifests/replay_selection.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:5cf045ed218855a29e231a3d3411a25bc0430d1c5e395ad3ab96b292868dddd7
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size 18140095
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release_manifest.json
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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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}
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