| --- |
| language: |
| - en |
| license: other |
| task_categories: |
| - automatic-speech-recognition |
| tags: |
| - air-traffic-control |
| - aviation |
| - atc |
| - pilot |
| - controller |
| configs: |
| - config_name: S2R |
| data_splits: |
| - name: train |
| num_bytes: null |
| num_examples: 1443 |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # ATC Pilot–Controller Conversations |
|
|
| ## Dataset Description |
|
|
| This dataset contains English conversations between **pilots** and **air traffic controllers (ATC)**, |
| transcribed from real VHF radio transmissions recorded at controlled aerodromes. |
|
|
| Each example consists of: |
| - A **WAV audio file** (mono, VHF radio quality) |
| - A **transcription** of the utterance |
| - **Speaker metadata**: whether the speaker is the *pilot* or the *controller* |
| - **Utterance type**: e.g. *readback*, *taxi*, *pushback*, etc. |
| - **Token-level annotations**: callsigns, taxiways, frequencies, actions, and greetings tagged inline |
| - **Duration** of the audio clip in seconds |
|
|
| ## Configuration & Splits |
|
|
| | Config | Split | Description | |
| |--------|-------|-------------| |
| | S2R | train | All labelled pilot–controller utterances | |
|
|
| ## Data Fields |
|
|
| | Field | Type | Description | |
| |-------|------|-------------| |
| | `audio` | Audio | WAV audio file | |
| | `transcription` | string | Verbatim transcript | |
| | `speaker` | string | `pilot` or `controller` | |
| | `utterance_type` | string | High-level speech act label (e.g. `readback`, `taxi`) | |
| | `metadata_raw` | string | Raw token-level annotation lines from the .txt file | |
| | `duration` | float | Audio clip duration in seconds | |
| | `conversation_id` | string | Parent conversation folder name | |
| | `file_id` | string | Stem of the source WAV filename | |
|
|
| ## Important Notes |
|
|
| > ⚠️ **Audio quality** — The audio is transmitted through **Very High Frequency (VHF)** radio. |
| > Most recordings sound muffled or have noticeable background noise typical of cockpit and radio environments. |
| > Models trained on clean speech may struggle without domain adaptation. |
|
|
| > ✈️ **ATM-specific vocabulary** — The transcriptions contain terminology specific to **Air Traffic Management (ATM)**: |
| > - Aircraft **callsigns** (e.g. `[UNK] seven zero five`) which may be partially inaudible |
| > - **Radiotelephony numerals**: numbers are spoken in aviation phonetics |
| > (e.g. *nine* → **niner**, *five* → **fifer**, *thousand* → **tousand**) |
| > - Taxiway designators, frequency strings, and procedural phrases |
| > (e.g. *holding point*, *contact tower*, *good day*) |
|
|
| ## Citation |
|
|
| If you use this dataset, please acknowledge the original source of the recordings. |
