Public copies of the multimodal-expert-instruction-samples documents
Browse files
multimodal-expert-instruction-samples/TECHNICAL.md
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@@ -61,7 +61,7 @@ sets/lessons/
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data/audio/<id>_{instructor,student}.wav the two microphones
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data/audio/<id>_guitar_{instructor,student}.wav the guitars' direct inputs
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data/video/original/<id>_main.mp4 the camera originals
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data/video/<id>_main.mp4 the cameras
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data/transcripts/<id>_{instructor,student}.json, <id>_transcript.txt
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data/instructions/lesson-<n>.* pages of the lesson
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manifest.json · participants.json
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| `instructor_guitar_file, student_guitar_file` | string | 48 kHz mono WAV of each player's guitar direct input (DI), as recorded |
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| `video_main_original_file` | string | The camera recording itself, the camera on the student (HEVC, full resolution, the camera's own audio), cut at the keyframe before the interaction; a JSON list where the camera has more than one block |
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| `video_main_start_s` | float or null | Interaction-clock time of the original's first decoded frame. Negative means lead-in; normalize video timestamps, then video_time = interaction_time - this value. Null for multiple blocks or unknown timing: use the manifest |
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| `video_main_file` | string | The main camera
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| `file_name` | video | H.264 proxy of the camera on the student on the interaction clock, so Data Studio shows a Video column; a playback copy, not the data |
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| `instruction_files` | string (JSON list) | The lesson plan the teacher worked from |
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| **Transcript** | | |
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| `instructor_transcript_file, student_transcript_file` | string | Per-speaker machine transcripts (JSON: segments with `start`/`end` in seconds and word timings) |
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| `transcript_file` | string | The merged, time-ordered, speaker-
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| `transcript_model` | string | The speech-recognition model behind the transcripts; machine-generated, not human-reviewed |
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| `transcript` | string | The merged transcript as text: one line per segment, `m:ss.mmm Speaker: words`; the lines of the text file without its header |
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data/audio/<id>_{instructor,student}.wav the two microphones
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data/audio/<id>_guitar_{instructor,student}.wav the guitars' direct inputs
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data/video/original/<id>_main.mp4 the camera originals
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data/video/<id>_main.mp4 the cameras synchronized to the microphones (960 px H.264)
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data/transcripts/<id>_{instructor,student}.json, <id>_transcript.txt
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data/instructions/lesson-<n>.* pages of the lesson
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manifest.json · participants.json
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| `instructor_guitar_file, student_guitar_file` | string | 48 kHz mono WAV of each player's guitar direct input (DI), as recorded |
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| `video_main_original_file` | string | The camera recording itself, the camera on the student (HEVC, full resolution, the camera's own audio), cut at the keyframe before the interaction; a JSON list where the camera has more than one block |
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| `video_main_start_s` | float or null | Interaction-clock time of the original's first decoded frame. Negative means lead-in; normalize video timestamps, then video_time = interaction_time - this value. Null for multiple blocks or unknown timing: use the manifest |
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| `video_main_file` | string | The main camera synchronized to the microphones: the original re-encoded onto the interaction clock (lead-in removed, any camera gap padded black), 960 px H.264; it starts at interaction time zero, where the original starts `video_main_start_s` seconds earlier. The original itself is `video_main_original_file` |
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| `file_name` | video | H.264 proxy of the camera on the student on the interaction clock, so Data Studio shows a Video column; a playback copy, not the data |
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| `instruction_files` | string (JSON list) | The lesson plan the teacher worked from |
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| **Transcript** | | |
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| `instructor_transcript_file, student_transcript_file` | string | Per-speaker machine transcripts (JSON: segments with `start`/`end` in seconds and word timings) |
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| `transcript_file` | string | The merged, time-ordered, speaker-labeled transcript (plain text: one header line naming the model and the time format, a blank line, then one line per segment) |
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| `transcript_model` | string | The speech-recognition model behind the transcripts; machine-generated, not human-reviewed |
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| `transcript` | string | The merged transcript as text: one line per segment, `m:ss.mmm Speaker: words`; the lines of the text file without its header |
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multimodal-expert-instruction-samples/TERMS.md
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@@ -6,10 +6,10 @@ Fluid Concepts provides these recordings solely for evaluation by people who hav
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engagement with Fluid Concepts. Do not use them to train, fine-tune or evaluate a model for
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any other purpose without written agreement.
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2. **No redistribution.** Do not share the files, or derivatives of them, outside the requesting
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3. **People.** The voices and faces belong to paid participants recorded with their consent; the video shows the student. Do not attempt to identify anyone. Participants
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are identified by studio codes; first names spoken in the sessions are left as recorded.
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4. **No cloning.** Do not use the recordings to clone,
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a digital likeness or avatar of any participant.
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5. **Revocation.** Access can be withdrawn at any time. On request, delete all copies.
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6. **No warranty.** The samples are provided as they are.
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engagement with Fluid Concepts. Do not use them to train, fine-tune or evaluate a model for
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any other purpose without written agreement.
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2. **No redistribution.** Do not share the files, or derivatives of them, outside the requesting
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organization, and do not post them publicly.
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3. **People.** The voices and faces belong to paid participants recorded with their consent; the video shows the student. Do not attempt to identify anyone. Participants
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are identified by studio codes; first names spoken in the sessions are left as recorded.
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4. **No cloning.** Do not use the recordings to clone, synthesize or imitate anyone's voice, or to build
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a digital likeness or avatar of any participant.
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5. **Revocation.** Access can be withdrawn at any time. On request, delete all copies.
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6. **No warranty.** The samples are provided as they are.
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