conversations / README.md
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metadata
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. nineniner, fivefifer, thousandtousand)
  • 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.