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deepdml/conversations

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… See the full description on the dataset page: https://huggingface.co/datasets/deepdml/conversations.

sourceHugging Faceotherupdated 7mo agoView on Hugging Face
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Dataset Card

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

ConfigSplitDescription
S2RtrainAll labelled pilot–controller utterances

Data Fields

FieldTypeDescription
audioAudioWAV audio file
transcriptionstringVerbatim transcript
speakerstringpilot or controller
utterance_typestringHigh-level speech act label (e.g. readback, taxi)
metadata_rawstringRaw token-level annotation lines from the .txt file
durationfloatAudio clip duration in seconds
conversation_idstringParent conversation folder name
file_idstringStem 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.