Publish reviewed RGB egocentric maintenance sample

Six owned chest-mounted iPhone excerpts with source-frame mappings, optional estimated annotations, 13 approximate action intervals, portable reader, validation and CC BY 4.0 documentation.

LICENSE

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+Creative Commons Attribution 4.0 International (CC BY 4.0)
+Copyright 2026 Diffraction.
+https://creativecommons.org/licenses/by/4.0/legalcode
+Attribution: Diffraction Egocentric Maintenance Sample, dataset URL and revision.

QUALITY.md

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+# Quality and review
+
+All 5,308 training frames are checked against source-frame mappings. Full video decode and standalone reader checks are recorded in [validation.json](validation.json). Face detection ran on every displayed training frame and returned zero detections for these excerpts. Audio and source location/container metadata are omitted from public videos.
+
+The assistant reviewed RGB storyboards at approximately two-second intervals and clip endpoints, and estimated-overlay frames near the start, middle and end. No visible faces or identifying private text were found in inspected frames. This is a sampled visual review, not an exhaustive manual privacy audit or an independent annotation-accuracy evaluation.
+
+## Estimated annotation coverage
+
+Hand keypoints were requested at 10 Hz and object detection at 5 Hz. Counts below describe timestamps with emitted estimates; they do not measure recall against visible objects/hands. Unknown percentages use temporal hand instances (one track at one timestamp), not keypoint rows. A track is not an independent person or physical entity.
+
+| Excerpt | Raw hand timestamps | Unknown handedness | Max temporal hands at one timestamp | Object timestamps |
+|---|---:|---:|---:|---:|
+| remove-tape | 290 | 24.2% | 2 | 145 |
+| brush-front-grille | 300 | 50.0% | 2 | 150 |
+| brush-housing | 300 | 100.0% | 2 | 137 |
+| brush-panel-channels | 300 | 99.3% | 3 | 144 |
+| wipe-panel | 300 | 13.7% | 3 | 150 |
+| wipe-panel-corners | 280 | 24.0% | 3 | 135 |
+
+The raw hand candidate selection caps detections at two per timestamp. Temporal interpolation can briefly retain extra tracks. The public tables preserve raw and temporal estimates separately, with null z/world coordinates and explicit provenance. Some visible hands are missed; finger placement, small-tool boxes and handedness are imperfect. An object track may change ID during one manipulation. Review overlays intentionally expose these errors. Overlays use a constant-frame-rate display clock and are visual aids, not the alignment reference.
+
+## Language and grouping
+
+The assistant prepared the instructions and 13 action intervals from visual review. Boundaries are approximate to two seconds and have not been independently checked by a human annotator. The intervals describe observed actions, not task success or robot commands. One conservative session group covers all six excerpts; do not split excerpts from this session between training and evaluation and then claim independent generalization.
+
+## Capture limitations and next collection
+
+This release covers one camera wearer, one appliance/work area and one apparent session. Viewpoint is chest-mounted according to the owner. The public 1920 x 1080 images are tone-mapped from iPhone HLG HDR; full original MOV files remain with the owner. Exposure changes, motion blur, self-occlusion and repetitive activity are visible. Metric geometry, forces, tactile measurements and robot control/state are unavailable.
+
+For a paid capture pilot, agree on target tasks, full task sequences, multiple workers/sites, tool visibility and acceptance criteria. A labeled evaluation subset and held-out sessions would support measured annotation quality and downstream utility. This sample establishes delivery structure and inspectable footage; it does not report training gains.

README.md

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+---
+license: cc-by-4.0
+pretty_name: Diffraction Egocentric Maintenance Sample
+configs:
+- config_name: default
+  data_files:
+  - split: sample
+    path: data/episodes.parquet
+language:
+- en
+tags:
+- video
+- egocentric
+- human-demonstration
+- robotics
+- physical-ai
+- maintenance
+size_categories:
+- n<1K
+---
+# Diffraction Egocentric Maintenance Sample
+
+![Diffraction maintenance capture](preview.jpg)
+
+Chest-mounted iPhone video of hands-on appliance maintenance: tape removal, brushing, panel handling and wiping recessed surfaces. 6 curated excerpts complement [Diffraction's RGB-D kitchen sample](https://huggingface.co/datasets/diffracting/egocentric-kitchen-sample) with a different task domain.
+
+This is human RGB observation data for evaluating video-language, temporal action understanding and hand/object interaction workflows. Depth, metric camera calibration/pose, IMU, robot commands and execution-success labels are unavailable. Optional hand/object annotations are model estimates with no independently measured accuracy.
+
+| Excerpt | Seconds | RGB frames | Instruction |
+|---|---:|---:|---|
+| remove-tape | 28.98 | 870 | Remove pieces of adhesive tape from the air conditioner front housing. |
+| brush-front-grille | 29.95 | 899 | Brush the air conditioner front grille while stabilizing the housing. |
+| brush-housing | 29.98 | 900 | Prepare the brush and scrub the exposed upper housing of the air conditioner. |
+| brush-panel-channels | 29.98 | 900 | Hold the detached front panel and brush along its narrow channels. |
+| wipe-panel | 29.98 | 900 | Wipe the detached panel surfaces while stabilizing the panel with the other hand. |
+| wipe-panel-corners | 27.95 | 839 | Wipe the recessed corners and channels of the detached panel with a paper towel. |
+
+**176.84 seconds · 5,308 RGB frames · one session · 13 approximate action intervals.**
+
+## Download and use
+
+```bash
+pip install huggingface_hub
+hf download diffracting/egocentric-maintenance-sample --repo-type dataset --local-dir diffraction-maintenance
+cd diffraction-maintenance
+pip install -r requirements.txt
+python observation_reader.py .
+```
+
+```python
+from observation_reader import ObservationDataset
+sample = ObservationDataset('.')
+key = next(iter(sample.episodes))
+frame = sample.frame(key, 100)
+print(frame['rgb'].shape, frame['timestamp_s'], frame['source_timestamp_s'])
+assert frame['depth_m'] is None
+hands = sample.annotations_near(key, 'hand_pose', frame['timestamp_s'], max_age_s=0.05)
+```
+
+## Capture and processing
+
+The source files identify an iPhone 15 Pro recording 1920 x 1080 HLG HDR video at approximately 30 fps. The owner described a chest-mounted camera setup and authorized the public sample. Full original MOV files are preserved locally with SHA-256 provenance. Public RGB clips are documented 8-bit SDR/H.264 excerpts with original presentation-time spacing and one-to-one source frame mapping. Audio and source-container metadata are omitted. Smaller browser videos are previews; use `videos/` for the training representation.
+
+All excerpts appear to belong to the same maintenance session. They are one technical sample, not six independent trials or a train/test benchmark. No claim of a completed maintenance procedure or verified appliance operation is made.
+
+## Quality and intended use
+
+[QUALITY.md](QUALITY.md) reports review coverage and known failure modes; [validation.json](validation.json) records the executable release checks. [SCHEMA.md](SCHEMA.md) defines clocks, transforms, units and missing-data behavior. Per-excerpt `quality/` reports provide coverage and missingness; review overlays expose optional estimated annotations. Occlusion, close tools, deformable paper and repetitive cleaning are difficult cases. A detection score is not a calibrated error probability. Handedness conflicts become unknown. Any language intervals are explicitly curator annotations with a stated review method.
+
+A downstream lab should evaluate relevant labels and model outcomes before scaling training. This sample demonstrates capture and delivery structure; no robot-policy performance gain or independent annotation-accuracy result is claimed.
+
+## Verify and evaluate
+
+```bash
+pip install -r requirements-validation.txt
+# Install FFmpeg/ffprobe on PATH, then:
+python validate_release.py .
+```
+
+`checksums.sha256` covers every release artifact. `processing_record.json` records processing tools, source/derivative lineage and the distinction between batch execution and final assembly code. `source_index.json` records selection windows and the owner authorization record. The public preview catalog can also be loaded with `datasets.load_dataset("diffracting/egocentric-maintenance-sample", split="sample")`; install the video decoder dependencies appropriate to your environment, or use `datasets.Video(decode=False)` to retrieve embedded preview bytes.
+
+## Work with Diffraction
+
+This sample is a starting point for task-specific professional egocentric capture. A pilot can define the activities, workplaces, camera setup, review protocol and measurable delivery criteria with the receiving lab. Contact Diffraction through the [organization page](https://huggingface.co/diffracting) or start a [dataset discussion](https://huggingface.co/datasets/diffracting/egocentric-maintenance-sample/discussions).
+
+## License and attribution
+
+CC BY 4.0 permits reuse under its attribution terms. Attribute Diffraction, Egocentric Maintenance Sample (2026), this dataset URL and the revision used. See [LICENSE](LICENSE).

SCHEMA.md

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+# RGB observation schema v1.1.0
+
+Each episode is an excerpt with preserved displayed-source frame identity. Source MOV masters remain locally preserved. Public videos are H.264, 8-bit SDR derivatives of the original HLG HDR capture; resolution is preserved after applying display rotation. Audio and source container metadata are omitted. The documented transform uses Hable tone mapping with npl=100. No image crop or frame-rate resampling is applied to training videos. Browser previews are resized derivatives.
+
+- `frame_mapping`: `rgb_frame_index` indexes the public training video from zero; `source_frame_index` indexes displayed frames in the original MOV from zero. This RGB-only source index is not a Stray depth/odometry record index. `t_s` is the actual public video timestamp relative to its first displayed frame. `source_timestamp_s` is relative to the original MOV's first displayed frame. `source_pts_s` and `video_pts_s` retain native presentation timestamps. Selection is an inclusive start/exclusive end window.
+- `hand_pose_raw`, `hand_pose`: estimated normalized 2D x/y keypoints, track ID, anatomical label or unknown, uncalibrated confidence and provenance. z/wx/wy/wz are null for the 2D model. Temporal interpolation is identified, not presented as an independent detection. Duplicate suppression caps raw detections at two; temporal gap filling can retain short extra tracks.
+- `tracks_raw`, `tracks`: estimated normalized object boxes with labels and confidence. Identity and contact are not ground truth. No physical contact labels are inferred by this recipe.
+- `quality`: image statistics, channel coverage and missingness; not annotation accuracy.
+- `annotations/action_segments.parquet`, when present: reviewed language/action intervals with explicit review method and approximate boundary precision. Intervals are observations, not robot commands or measured outcomes.
+
+The reader returns `None` for depth_m, depth_valid, confidence, K_rgb, camera_pose_xyzw and sensor_timestamp_s. Explicit episode modality flags mark metric depth, calibration, VIO, IMU, audio and robot actions unavailable. `camera_points` raises for RGB-only samples. Estimated monocular geometry is not silently inserted.
+
+All excerpts in the sample are grouped conservatively as one session. Preserve this grouping in downstream splits. Instructions and segment boundaries are curator annotations; no independent accuracy study or task-success benchmark is provided.

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+          "last_source_frame": 1499
+        },
+        "transform": {
+          "hdr_to_sdr": true,
+          "tone_mapper": "hable",
+          "npl": 100,
+          "geometry": "display_rotation_applied; no_crop_or_resize",
+          "encoding": "H264 CRF16 8bit yuv420p",
+          "audio": "omitted",
+          "metadata": "source metadata stripped from derivative; selected fields retained here",
+          "frame_mapping": "one_to_one_source_display_frames; original_PTS_spacing"
+        }
+      },
+      "video_sha256": "c55fb0f1dbe59f6494abcd40d4cafddcdd0242884c1a08d3c5d2391fd60cb7bf"
+    },
+    {
+      "capture_id": "wipe-panel-corners",
+      "instruction": "Wipe the recessed corners and channels of the detached panel with a paper towel.",
+      "split": "sample",
+      "session_group": "maintenance-session-001",
+      "video": "videos/wipe-panel-corners.mp4",
+      "preview": "previews/wipe-panel-corners.mp4",
+      "signals": {
+        "frame_mapping": "annotations/wipe-panel-corners/frame_mapping.parquet",
+        "quality": "annotations/wipe-panel-corners/quality.parquet",
+        "hand_pose_raw": "annotations/wipe-panel-corners/hand_pose_raw.parquet",
+        "hand_pose": "annotations/wipe-panel-corners/hand_pose.parquet",
+        "tracks_raw": "annotations/wipe-panel-corners/tracks_raw.parquet",
+        "tracks": "annotations/wipe-panel-corners/tracks.parquet"
+      },
+      "frame_count": 839,
+      "duration_s": 27.95,
+      "width": 1920,
+      "height": 1080,
+      "nominal_fps": 30.0179,
+      "modalities": {
+        "rgb": true,
+        "audio": false,
+        "depth": false,
+        "camera_intrinsics": false,
+        "camera_pose": false,
+        "imu": false,
+        "robot_actions": false
+      },
+      "source_sha256": "f97c3ed979296c7e7cda6848d1a09d3eafc1817e24440c5e03f8812f06633c1a",
+      "source": {
+        "codec": "hevc",
+        "width": 1920,
+        "height": 1080,
+        "pixel_format": "yuv420p10le",
+        "color_transfer": "arib-std-b67",
+        "color_primaries": "bt2020",
+        "color_space": "bt2020nc",
+        "rotation_deg": 0,
+        "audio_present": true,
+        "device_model": "iPhone 15 Pro",
+        "device_software": "26.3.1",
+        "capture_date": "2026-05-20",
+        "source_filename": "IMG_6514.MOV",
+        "source_sha256": "f97c3ed979296c7e7cda6848d1a09d3eafc1817e24440c5e03f8812f06633c1a",
+        "source_frame_semantics": "zero_based_displayed_source_video_frame",
+        "source_time_base": [
+          1,
+          600
+        ],
+        "selection": {
+          "requested_start_s": 42.0,
+          "requested_end_s": 70.0,
+          "first_source_frame": 1260,
+          "last_source_frame": 2098
+        },
+        "transform": {
+          "hdr_to_sdr": true,
+          "tone_mapper": "hable",
+          "npl": 100,
+          "geometry": "display_rotation_applied; no_crop_or_resize",
+          "encoding": "H264 CRF16 8bit yuv420p",
+          "audio": "omitted",
+          "metadata": "source metadata stripped from derivative; selected fields retained here",
+          "frame_mapping": "one_to_one_source_display_frames; original_PTS_spacing"
+        }
+      },
+      "video_sha256": "9746b2da9971161315d373dd2e738083704328a699f3994f24823a504c2f651a"
+    }
+  ],
+  "action_segments": "annotations/action_segments.parquet",
+  "session_count": 1,
+  "capture_mount": "chest (owner-described)",
+  "review_method": {
+    "reviewer": "assistant_visual_review",
+    "method": "RGB storyboard approximately every 2 seconds plus final frame; estimated overlays sampled at start, middle and end",
+    "boundary_precision_s": 2.0,
+    "independent_human_validation": false,
+    "finding": "No visible faces or identifying private text in inspected frames. Full-frame automated face scan returned zero detections. Audio is omitted. This is not an exhaustive manual frame-by-frame privacy audit."
+  }
+}

episodes/brush-front-grille.json

@@ -0,0 +1,79 @@
+{
+  "schema_version": "1.1.0",
+  "capture_id": "brush-front-grille",
+  "asset_id": "75946a2703139b35",
+  "embodiment": "human_egocentric",
+  "dataset_type": "observational_demonstration",
+  "capture_mode": "rgb_only",
+  "instruction": "Brush the air conditioner front grille while stabilizing the housing.",
+  "instruction_source": "curator_supplied",
+  "session_group": "maintenance-session-001",
+  "split": "sample",
+  "modalities": {
+    "rgb": true,
+    "audio": false,
+    "depth": false,
+    "camera_intrinsics": false,
+    "camera_pose": false,
+    "imu": false,
+    "robot_actions": false
+  },
+  "robot_actions": "absent",
+  "robot_state": "absent",
+  "annotation_accuracy": "not_independently_evaluated",
+  "privacy_review": "automated_full_frame_scan_and_assistant_storyboard_review",
+  "annotation_review": "assistant_visual_review_with_disclosed_estimation_limits",
+  "pose_sample_fps": 10.0,
+  "rights": {
+    "status": "owner_attested",
+    "training_use": true,
+    "public_sample_preparation": true,
+    "evidence": "The user identified these recordings as iPhone chest-camera captures and authorized curating and publishing the maintenance sample to Diffraction. The existing chosen public sample license is CC BY 4.0. This is a record of user authorization, not an independent signed release."
+  },
+  "source": {
+    "codec": "hevc",
+    "width": 1920,
+    "height": 1080,
+    "pixel_format": "yuv420p10le",
+    "color_transfer": "arib-std-b67",
+    "color_primaries": "bt2020",
+    "color_space": "bt2020nc",
+    "rotation_deg": 0,
+    "audio_present": true,
+    "device_model": "iPhone 15 Pro",
+    "device_software": "26.3.1",
+    "capture_date": "2026-05-20",
+    "source_filename": "IMG_6490.MOV",
+    "source_sha256": "fd64ed7eab78adce70287f50e5361b125c3202184092d6335fb75c3f5067b500",
+    "source_frame_semantics": "zero_based_displayed_source_video_frame",
+    "source_time_base": [
+      1,
+      600
+    ],
+    "selection": {
+      "requested_start_s": 30.0,
+      "requested_end_s": 60.0,
+      "first_source_frame": 900,
+      "last_source_frame": 1798
+    },
+    "transform": {
+      "hdr_to_sdr": true,
+      "tone_mapper": "hable",
+      "npl": 100,
+      "geometry": "display_rotation_applied; no_crop_or_resize",
+      "encoding": "H264 CRF16 8bit yuv420p",
+      "audio": "omitted",
+      "metadata": "source metadata stripped from derivative; selected fields retained here",
+      "frame_mapping": "one_to_one_source_display_frames; original_PTS_spacing"
+    }
+  },
+  "license": "cc-by-4.0",
+  "capture_mount": "chest (owner-described)",
+  "review_method": {
+    "reviewer": "assistant_visual_review",
+    "method": "RGB storyboard approximately every 2 seconds plus final frame; estimated overlays sampled at start, middle and end",
+    "boundary_precision_s": 2.0,
+    "independent_human_validation": false,
+    "finding": "No visible faces or identifying private text in inspected frames. Full-frame automated face scan returned zero detections. Audio is omitted. This is not an exhaustive manual frame-by-frame privacy audit."
+  }
+}

episodes/brush-housing.json

@@ -0,0 +1,79 @@
+{
+  "schema_version": "1.1.0",
+  "capture_id": "brush-housing",
+  "asset_id": "60c8eed3939f1c39",
+  "embodiment": "human_egocentric",
+  "dataset_type": "observational_demonstration",
+  "capture_mode": "rgb_only",
+  "instruction": "Prepare the brush and scrub the exposed upper housing of the air conditioner.",
+  "instruction_source": "curator_supplied",
+  "session_group": "maintenance-session-001",
+  "split": "sample",
+  "modalities": {
+    "rgb": true,
+    "audio": false,
+    "depth": false,
+    "camera_intrinsics": false,
+    "camera_pose": false,
+    "imu": false,
+    "robot_actions": false
+  },
+  "robot_actions": "absent",
+  "robot_state": "absent",
+  "annotation_accuracy": "not_independently_evaluated",
+  "privacy_review": "automated_full_frame_scan_and_assistant_storyboard_review",
+  "annotation_review": "assistant_visual_review_with_disclosed_estimation_limits",
+  "pose_sample_fps": 10.0,
+  "rights": {
+    "status": "owner_attested",
+    "training_use": true,
+    "public_sample_preparation": true,
+    "evidence": "The user identified these recordings as iPhone chest-camera captures and authorized curating and publishing the maintenance sample to Diffraction. The existing chosen public sample license is CC BY 4.0. This is a record of user authorization, not an independent signed release."
+  },
+  "source": {
+    "codec": "hevc",
+    "width": 1920,
+    "height": 1080,
+    "pixel_format": "yuv420p10le",
+    "color_transfer": "arib-std-b67",
+    "color_primaries": "bt2020",
+    "color_space": "bt2020nc",
+    "rotation_deg": 0,
+    "audio_present": true,
+    "device_model": "iPhone 15 Pro",
+    "device_software": "26.3.1",
+    "capture_date": "2026-05-20",
+    "source_filename": "IMG_6494.MOV",
+    "source_sha256": "ca1a009f6fb10ee7df2b1a7d191f6bda5f72e77aa940510dfef0ed8fadc8ba92",
+    "source_frame_semantics": "zero_based_displayed_source_video_frame",
+    "source_time_base": [
+      1,
+      600
+    ],
+    "selection": {
+      "requested_start_s": 8.0,
+      "requested_end_s": 38.0,
+      "first_source_frame": 240,
+      "last_source_frame": 1139
+    },
+    "transform": {
+      "hdr_to_sdr": true,
+      "tone_mapper": "hable",
+      "npl": 100,
+      "geometry": "display_rotation_applied; no_crop_or_resize",
+      "encoding": "H264 CRF16 8bit yuv420p",
+      "audio": "omitted",
+      "metadata": "source metadata stripped from derivative; selected fields retained here",
+      "frame_mapping": "one_to_one_source_display_frames; original_PTS_spacing"
+    }
+  },
+  "license": "cc-by-4.0",
+  "capture_mount": "chest (owner-described)",
+  "review_method": {
+    "reviewer": "assistant_visual_review",
+    "method": "RGB storyboard approximately every 2 seconds plus final frame; estimated overlays sampled at start, middle and end",
+    "boundary_precision_s": 2.0,
+    "independent_human_validation": false,
+    "finding": "No visible faces or identifying private text in inspected frames. Full-frame automated face scan returned zero detections. Audio is omitted. This is not an exhaustive manual frame-by-frame privacy audit."
+  }
+}

episodes/brush-panel-channels.json

@@ -0,0 +1,79 @@
+{
+  "schema_version": "1.1.0",
+  "capture_id": "brush-panel-channels",
+  "asset_id": "fbeaf25b4865abad",
+  "embodiment": "human_egocentric",
+  "dataset_type": "observational_demonstration",
+  "capture_mode": "rgb_only",
+  "instruction": "Hold the detached front panel and brush along its narrow channels.",
+  "instruction_source": "curator_supplied",
+  "session_group": "maintenance-session-001",
+  "split": "sample",
+  "modalities": {
+    "rgb": true,
+    "audio": false,
+    "depth": false,
+    "camera_intrinsics": false,
+    "camera_pose": false,
+    "imu": false,
+    "robot_actions": false
+  },
+  "robot_actions": "absent",
+  "robot_state": "absent",
+  "annotation_accuracy": "not_independently_evaluated",
+  "privacy_review": "automated_full_frame_scan_and_assistant_storyboard_review",
+  "annotation_review": "assistant_visual_review_with_disclosed_estimation_limits",
+  "pose_sample_fps": 10.0,
+  "rights": {
+    "status": "owner_attested",
+    "training_use": true,
+    "public_sample_preparation": true,
+    "evidence": "The user identified these recordings as iPhone chest-camera captures and authorized curating and publishing the maintenance sample to Diffraction. The existing chosen public sample license is CC BY 4.0. This is a record of user authorization, not an independent signed release."
+  },
+  "source": {
+    "codec": "hevc",
+    "width": 1920,
+    "height": 1080,
+    "pixel_format": "yuv420p10le",
+    "color_transfer": "arib-std-b67",
+    "color_primaries": "bt2020",
+    "color_space": "bt2020nc",
+    "rotation_deg": 0,
+    "audio_present": true,
+    "device_model": "iPhone 15 Pro",
+    "device_software": "26.3.1",
+    "capture_date": "2026-05-20",
+    "source_filename": "IMG_6498.MOV",
+    "source_sha256": "ec85fd841efcb0bec77aa857a940a5eee33e551d8f2273fba3fea40c0924fc9b",
+    "source_frame_semantics": "zero_based_displayed_source_video_frame",
+    "source_time_base": [
+      1,
+      600
+    ],
+    "selection": {
+      "requested_start_s": 22.0,
+      "requested_end_s": 52.0,
+      "first_source_frame": 660,
+      "last_source_frame": 1559
+    },
+    "transform": {
+      "hdr_to_sdr": true,
+      "tone_mapper": "hable",
+      "npl": 100,
+      "geometry": "display_rotation_applied; no_crop_or_resize",
+      "encoding": "H264 CRF16 8bit yuv420p",
+      "audio": "omitted",
+      "metadata": "source metadata stripped from derivative; selected fields retained here",
+      "frame_mapping": "one_to_one_source_display_frames; original_PTS_spacing"
+    }
+  },
+  "license": "cc-by-4.0",
+  "capture_mount": "chest (owner-described)",
+  "review_method": {
+    "reviewer": "assistant_visual_review",
+    "method": "RGB storyboard approximately every 2 seconds plus final frame; estimated overlays sampled at start, middle and end",
+    "boundary_precision_s": 2.0,
+    "independent_human_validation": false,
+    "finding": "No visible faces or identifying private text in inspected frames. Full-frame automated face scan returned zero detections. Audio is omitted. This is not an exhaustive manual frame-by-frame privacy audit."
+  }
+}

episodes/remove-tape.json

@@ -0,0 +1,79 @@
+{
+  "schema_version": "1.1.0",
+  "capture_id": "remove-tape",
+  "asset_id": "38f30779ec2b279d",
+  "embodiment": "human_egocentric",
+  "dataset_type": "observational_demonstration",
+  "capture_mode": "rgb_only",
+  "instruction": "Remove pieces of adhesive tape from the air conditioner front housing.",
+  "instruction_source": "curator_supplied",
+  "session_group": "maintenance-session-001",
+  "split": "sample",
+  "modalities": {
+    "rgb": true,
+    "audio": false,
+    "depth": false,
+    "camera_intrinsics": false,
+    "camera_pose": false,
+    "imu": false,
+    "robot_actions": false
+  },
+  "robot_actions": "absent",
+  "robot_state": "absent",
+  "annotation_accuracy": "not_independently_evaluated",
+  "privacy_review": "automated_full_frame_scan_and_assistant_storyboard_review",
+  "annotation_review": "assistant_visual_review_with_disclosed_estimation_limits",
+  "pose_sample_fps": 10.0,
+  "rights": {
+    "status": "owner_attested",
+    "training_use": true,
+    "public_sample_preparation": true,
+    "evidence": "The user identified these recordings as iPhone chest-camera captures and authorized curating and publishing the maintenance sample to Diffraction. The existing chosen public sample license is CC BY 4.0. This is a record of user authorization, not an independent signed release."
+  },
+  "source": {
+    "codec": "hevc",
+    "width": 1920,
+    "height": 1080,
+    "pixel_format": "yuv420p10le",
+    "color_transfer": "arib-std-b67",
+    "color_primaries": "bt2020",
+    "color_space": "bt2020nc",
+    "rotation_deg": 0,
+    "audio_present": true,
+    "device_model": "iPhone 15 Pro",
+    "device_software": "26.3.1",
+    "capture_date": "2026-05-20",
+    "source_filename": "IMG_6489.MOV",
+    "source_sha256": "58cf0a658435d8a96e72eb241bd5f6f30fbaafcb7e2e5fb9ec63ee24eceeeefe",
+    "source_frame_semantics": "zero_based_displayed_source_video_frame",
+    "source_time_base": [
+      1,
+      600
+    ],
+    "selection": {
+      "requested_start_s": 2.0,
+      "requested_end_s": 31.0,
+      "first_source_frame": 60,
+      "last_source_frame": 929
+    },
+    "transform": {
+      "hdr_to_sdr": true,
+      "tone_mapper": "hable",
+      "npl": 100,
+      "geometry": "display_rotation_applied; no_crop_or_resize",
+      "encoding": "H264 CRF16 8bit yuv420p",
+      "audio": "omitted",
+      "metadata": "source metadata stripped from derivative; selected fields retained here",
+      "frame_mapping": "one_to_one_source_display_frames; original_PTS_spacing"
+    }
+  },
+  "license": "cc-by-4.0",
+  "capture_mount": "chest (owner-described)",
+  "review_method": {
+    "reviewer": "assistant_visual_review",
+    "method": "RGB storyboard approximately every 2 seconds plus final frame; estimated overlays sampled at start, middle and end",
+    "boundary_precision_s": 2.0,
+    "independent_human_validation": false,
+    "finding": "No visible faces or identifying private text in inspected frames. Full-frame automated face scan returned zero detections. Audio is omitted. This is not an exhaustive manual frame-by-frame privacy audit."
+  }
+}

episodes/wipe-panel-corners.json

@@ -0,0 +1,79 @@
+{
+  "schema_version": "1.1.0",
+  "capture_id": "wipe-panel-corners",
+  "asset_id": "cab1dcbfdc31e90e",
+  "embodiment": "human_egocentric",
+  "dataset_type": "observational_demonstration",
+  "capture_mode": "rgb_only",
+  "instruction": "Wipe the recessed corners and channels of the detached panel with a paper towel.",
+  "instruction_source": "curator_supplied",
+  "session_group": "maintenance-session-001",
+  "split": "sample",
+  "modalities": {
+    "rgb": true,
+    "audio": false,
+    "depth": false,
+    "camera_intrinsics": false,
+    "camera_pose": false,
+    "imu": false,
+    "robot_actions": false
+  },
+  "robot_actions": "absent",
+  "robot_state": "absent",
+  "annotation_accuracy": "not_independently_evaluated",
+  "privacy_review": "automated_full_frame_scan_and_assistant_storyboard_review",
+  "annotation_review": "assistant_visual_review_with_disclosed_estimation_limits",
+  "pose_sample_fps": 10.0,
+  "rights": {
+    "status": "owner_attested",
+    "training_use": true,
+    "public_sample_preparation": true,
+    "evidence": "The user identified these recordings as iPhone chest-camera captures and authorized curating and publishing the maintenance sample to Diffraction. The existing chosen public sample license is CC BY 4.0. This is a record of user authorization, not an independent signed release."
+  },
+  "source": {
+    "codec": "hevc",
+    "width": 1920,
+    "height": 1080,
+    "pixel_format": "yuv420p10le",
+    "color_transfer": "arib-std-b67",
+    "color_primaries": "bt2020",
+    "color_space": "bt2020nc",
+    "rotation_deg": 0,
+    "audio_present": true,
+    "device_model": "iPhone 15 Pro",
+    "device_software": "26.3.1",
+    "capture_date": "2026-05-20",
+    "source_filename": "IMG_6514.MOV",
+    "source_sha256": "f97c3ed979296c7e7cda6848d1a09d3eafc1817e24440c5e03f8812f06633c1a",
+    "source_frame_semantics": "zero_based_displayed_source_video_frame",
+    "source_time_base": [
+      1,
+      600
+    ],
+    "selection": {
+      "requested_start_s": 42.0,
+      "requested_end_s": 70.0,
+      "first_source_frame": 1260,
+      "last_source_frame": 2098
+    },
+    "transform": {
+      "hdr_to_sdr": true,
+      "tone_mapper": "hable",
+      "npl": 100,
+      "geometry": "display_rotation_applied; no_crop_or_resize",
+      "encoding": "H264 CRF16 8bit yuv420p",
+      "audio": "omitted",
+      "metadata": "source metadata stripped from derivative; selected fields retained here",
+      "frame_mapping": "one_to_one_source_display_frames; original_PTS_spacing"
+    }
+  },
+  "license": "cc-by-4.0",
+  "capture_mount": "chest (owner-described)",
+  "review_method": {
+    "reviewer": "assistant_visual_review",
+    "method": "RGB storyboard approximately every 2 seconds plus final frame; estimated overlays sampled at start, middle and end",
+    "boundary_precision_s": 2.0,
+    "independent_human_validation": false,
+    "finding": "No visible faces or identifying private text in inspected frames. Full-frame automated face scan returned zero detections. Audio is omitted. This is not an exhaustive manual frame-by-frame privacy audit."
+  }
+}

episodes/wipe-panel.json

@@ -0,0 +1,79 @@
+{
+  "schema_version": "1.1.0",
+  "capture_id": "wipe-panel",
+  "asset_id": "1c64a20788535568",
+  "embodiment": "human_egocentric",
+  "dataset_type": "observational_demonstration",
+  "capture_mode": "rgb_only",
+  "instruction": "Wipe the detached panel surfaces while stabilizing the panel with the other hand.",
+  "instruction_source": "curator_supplied",
+  "session_group": "maintenance-session-001",
+  "split": "sample",
+  "modalities": {
+    "rgb": true,
+    "audio": false,
+    "depth": false,
+    "camera_intrinsics": false,
+    "camera_pose": false,
+    "imu": false,
+    "robot_actions": false
+  },
+  "robot_actions": "absent",
+  "robot_state": "absent",
+  "annotation_accuracy": "not_independently_evaluated",
+  "privacy_review": "automated_full_frame_scan_and_assistant_storyboard_review",
+  "annotation_review": "assistant_visual_review_with_disclosed_estimation_limits",
+  "pose_sample_fps": 10.0,
+  "rights": {
+    "status": "owner_attested",
+    "training_use": true,
+    "public_sample_preparation": true,
+    "evidence": "The user identified these recordings as iPhone chest-camera captures and authorized curating and publishing the maintenance sample to Diffraction. The existing chosen public sample license is CC BY 4.0. This is a record of user authorization, not an independent signed release."
+  },
+  "source": {
+    "codec": "hevc",
+    "width": 1920,
+    "height": 1080,
+    "pixel_format": "yuv420p10le",
+    "color_transfer": "arib-std-b67",
+    "color_primaries": "bt2020",
+    "color_space": "bt2020nc",
+    "rotation_deg": 0,
+    "audio_present": true,
+    "device_model": "iPhone 15 Pro",
+    "device_software": "26.3.1",
+    "capture_date": "2026-05-20",
+    "source_filename": "IMG_6501.MOV",
+    "source_sha256": "437c2f662895905136127d7dbfe558b1c1330c07abce6cc18642136aae952222",
+    "source_frame_semantics": "zero_based_displayed_source_video_frame",
+    "source_time_base": [
+      1,
+      600
+    ],
+    "selection": {
+      "requested_start_s": 20.0,
+      "requested_end_s": 50.0,
+      "first_source_frame": 600,
+      "last_source_frame": 1499
+    },
+    "transform": {
+      "hdr_to_sdr": true,
+      "tone_mapper": "hable",
+      "npl": 100,
+      "geometry": "display_rotation_applied; no_crop_or_resize",
+      "encoding": "H264 CRF16 8bit yuv420p",
+      "audio": "omitted",
+      "metadata": "source metadata stripped from derivative; selected fields retained here",
+      "frame_mapping": "one_to_one_source_display_frames; original_PTS_spacing"
+    }
+  },
+  "license": "cc-by-4.0",
+  "capture_mount": "chest (owner-described)",
+  "review_method": {
+    "reviewer": "assistant_visual_review",
+    "method": "RGB storyboard approximately every 2 seconds plus final frame; estimated overlays sampled at start, middle and end",
+    "boundary_precision_s": 2.0,
+    "independent_human_validation": false,
+    "finding": "No visible faces or identifying private text in inspected frames. Full-frame automated face scan returned zero detections. Audio is omitted. This is not an exhaustive manual frame-by-frame privacy audit."
+  }
+}