| | --- |
| | 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. |
