Datasets:
image imagewidth (px) 424 640 | label class label 2
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Dual-Camera Speech and Interaction Dataset
This directory contains the processed output of 50 synchronized recording sessions. Each session combines first-person video, third-person video, human speech, 30 fps image sequences, and a text label derived from the read-aloud script.
For the research context behind the dataset, see PROJECT_README.md.
Directory structure
ACTION_NUMBER/
├── first_person_view.mp4
├── third_person_view.mp4
├── audio.wav
├── text.txt
├── label.json
├── first_person_view_camera/
│ ├── first_person_view_camera_1.jpg
│ ├── first_person_view_camera_2.jpg
│ └── ...
└── third_person_view_camera/
├── third_person_view_camera_1.jpg
├── third_person_view_camera_2.jpg
└── ...
Files in each session
| File or directory | Description |
|---|---|
first_person_view.mp4 |
First-person video, 640 x 480, approximately 10 fps; the source image was rotated 180 degrees during recording |
third_person_view.mp4 |
Third-person video, 424 x 240, approximately 5 fps |
audio.wav |
Corresponding two-channel human speech recording at 48 kHz |
first_person_view_camera/*.jpg |
First-person video converted to a 30 fps JPEG sequence |
third_person_view_camera/*.jpg |
Third-person video converted to a 30 fps JPEG sequence |
text.txt |
Clean script text associated with the session |
label.json |
Script identity, marked and clean text, ASR output, match scores, and review status |
Frame numbering starts at 1. For either camera, frame N corresponds to (N - 1) / 30 seconds from the beginning of that camera stream.
Session naming
Processed session directories are numbered sequentially within each physical action:
press_01
press_02
pull_01
slide_01
twist_01
insert_01
The first component is the physical action, and the integer is the recording's chronological position within that action. Numbering starts at 1 for each action. Prosody and script information are retained in scenario_id and prosody_profile inside the label files rather than encoded in the directory name. The original timestamp directory name remains available as source_session.
Frame-rate conversion
The original first-person and third-person videos were recorded at approximately 10 fps and 5 fps, respectively. The image sequences were generated with the FFmpeg fps=30 filter. This operation repeats the nearest source frame on a 30 Hz timeline; it does not perform optical-flow or generative interpolation. Adjacent JPEG files may therefore contain the same source image.
The two cameras can have slightly different start and end delays. As a result, the first-person and third-person image counts within one session may differ. Each stream has its own frame index and timestamp beginning at zero.
Frame manifest
frame_manifest.csv contains one row per image and can be used directly to construct image-text samples.
| Field | Description |
|---|---|
session |
Action-based processed directory name, such as press_01 |
camera |
first_person_view_camera or third_person_view_camera |
frame_index |
One-based frame number |
timestamp_s |
Time from the beginning of the camera stream in seconds |
image_path |
Image path relative to this directory |
scenario_id |
Script identifier, such as PRES-U01 |
text |
Clean script text associated with the session |
Every image from the same session shares that session's utterance-level text label.
Session labels
label.json, session_labels.json, and session_labels.csv use the following main fields:
| Field | Description |
|---|---|
source_session |
Original timestamp directory name, such as session_20260918_120529 |
session |
Action-based processed directory name |
scenario_id |
Script identifier |
title |
Script-item title |
task |
Interaction type: PRES, PULL, SLID, TWST, or INSR |
prosody_profile |
Prosody class: U, E, C, or R |
marked_text |
Original script with performance directions, stress, and pause notation |
text |
Clean text used as the image label |
asr_transcript |
Whisper transcription of the recorded speech |
match_score |
Similarity between the ASR transcript and the selected script, from 0 to 1 |
match_margin |
Difference between the best and second-best automatic match scores |
match_method |
asr_fuzzy_match or sequence_override |
needs_review |
true when the recording should be checked manually |
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