Add real-life reference meeting sample
- add reproducible real-world meeting sample - store meeting audio using Git LFS - include raw and cleaned Whisper transcripts - add manifest with SHA-256 checksums - document sample usage and confidentiality - intentionally exclude generated pipeline artifacts
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# Project Process Meeting Real-Life Sample
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## Purpose
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This directory preserves the complete input data for the current real meeting
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experiment so the Meeting Lab pipeline can be reproduced on another computer.
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This is a deliberately selected reference sample, not ordinary generated
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runtime data.
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## Confidentiality
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This sample contains real meeting data. Keep the repository private. Do not
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copy, publish or redistribute these files outside the intended private
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development context.
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Avoid exposing unnecessary personal details in derived documentation, reports
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or screenshots.
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## Language
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The meeting language is German.
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## Contents
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Original input files:
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- `audio/meeting_speech.wav`: source meeting audio.
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- `transcript/meeting_speech.json`: raw Whisper transcript JSON.
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- `transcript/meeting_speech_cleaned.json`: cleaned Whisper transcript JSON.
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Reference material:
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- `reference/human_reference_protocol.md`: not currently included. No exact
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existing human-written protocol file was found in the repository workspace.
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Generated outputs are intentionally excluded. This sample does not include
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generated chunks, normalized chunks, segmentation outputs, extraction JSON
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files, consolidated outputs, generated protocols, raw model responses or
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temporary files.
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## Intended Pipeline Use
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This sample may be used to reproduce and test:
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- audio/transcription workflow setup
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- Whisper JSON cleanup behavior
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- transcript chunking
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- normalization
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- segmentation experiments
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- extraction experiments
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- canonicalization and future consolidation experiments
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Generated artifacts should be written to normal experiment or benchmark output
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locations, not back into this input sample directory.
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## Git LFS
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The WAV audio is intentionally versioned through Git LFS using the scoped
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repository rule for `samples/real_live/**/*.wav`.
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After cloning the repository, retrieve LFS files with:
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```text
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git lfs pull
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```
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{
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"sample_id": "project_process_meeting",
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"title": "Project Process Meeting",
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"language": "de",
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"audio_file": "audio/meeting_speech.wav",
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"raw_transcript_file": "transcript/meeting_speech.json",
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"cleaned_transcript_file": "transcript/meeting_speech_cleaned.json",
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"reference_protocol_file": null,
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"audio_format": "WAV PCM 16-bit mono 16000 Hz",
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"transcript_format": "Whisper JSON",
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"created_from_existing_project_data": true,
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"notes": [
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"Deliberately versioned real-life reference sample for reproducible Meeting Lab testing.",
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"Contains real meeting data; repository must remain private.",
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"Generated chunks, normalized chunks, segmentation outputs, extraction JSON, consolidated outputs and generated protocols are intentionally excluded.",
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"No exact human-written reference protocol file was found in the repository workspace, so reference_protocol_file is null."
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],
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"checksums": {
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"audio/meeting_speech.wav": {
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"sha256": "d763b8886f089c49ed3bcc2813dfb3a78ae2fd03eee6d843bbee1c52686bf380",
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"bytes": 179592270
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},
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"transcript/meeting_speech.json": {
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"sha256": "55ea11571ce43ad299b00362bd1d9b92555aa9d1865779bf9b47ee89138e92ef",
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"bytes": 542337
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},
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"transcript/meeting_speech_cleaned.json": {
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"sha256": "22e8616a946a3f46f66ea56e8d80174b44f49a1c14dc297ea0405dee0afbdd3c",
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"bytes": 800585
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}
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}
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}
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