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--- |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: audio |
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dtype: audio |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 692440565.782 |
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num_examples: 6497 |
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- name: validation |
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num_bytes: 86238362.0 |
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num_examples: 812 |
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- name: test |
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num_bytes: 87842088.0 |
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num_examples: 813 |
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download_size: 848224655 |
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dataset_size: 866521015.782 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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- split: test |
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path: data/test-* |
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--- |
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# ATC ASR Dataset |
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**ATC ASR Dataset** is a high-quality, fine-tuning-ready speech recognition dataset constructed from two real-world Air Traffic Control (ATC) corpora: the [UWB ATC Corpus](https://lindat.mff.cuni.cz/repository/xmlui/handle/11858/00-097C-0000-0001-CCA1-0) and the [ATCO2 1-Hour Test Subset](https://www.replaywell.com/atco2/download/ATCO2-ASRdataset-v1_beta.tgz). |
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The dataset consists of cleanly segmented `audio + transcript` pairs at the utterance level, specifically curated for Automatic Speech Recognition (ASR) training and fine-tuning in the ATC domain. |
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## Contents |
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This dataset includes: |
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- Audio files (`.wav`, 16kHz mono) of individual ATC utterances |
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- Transcripts (`.txt`) aligned with each audio file |
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- Training, validation, and test splits |
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## Use Cases |
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This dataset is ideal for: |
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- Training ASR models specialized in aviation communication |
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- Benchmarking domain-adapted speech recognition systems |
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- Studying accented and noisy English in operational ATC environments |
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## Source Datasets |
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This dataset combines data from: |
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- **[UWB ATC Corpus](https://lindat.mff.cuni.cz/repository/xmlui/handle/11858/00-097C-0000-0001-CCA1-0)** - ATC speech and corresponding transcripts recorded over Czech airspace, featuring heavily accented English. |
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- **[ATCO2 1-Hour Test Subset](https://www.replaywell.com/atco2/download/ATCO2-ASRdataset-v1_beta.tgz)** - A publicly released evaluation slice from the larger ATCO2 corpus, featuring diverse ATC environments, speaker accents, and acoustic conditions. |
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## Cleaning & Preprocessing |
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The raw corpora were normalized and cleaned using custom Python scripts. Key steps included: |
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- Segmenting long audio files into utterance-level clips using timestamps |
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- Uppercasing all transcripts for uniformity |
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- Converting digits to words (e.g., `3 5 0` → `THREE FIVE ZERO`) |
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- Expanding letters to phonetic alphabet equivalents (e.g., `N` → `NOVEMBER`) |
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- Removing non-English, unintelligible, or corrupted segments |
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- Normalizing diacritics and fixing broken Unicode characters |
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- Manual filtering of misaligned or low-quality samples |
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## Usage |
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1. **Install Dependencies**: |
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Use Hugging Face's `datasets` library to load the dataset: |
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``` |
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from datasets import load_dataset |
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dataset = load_dataset("jacktol/ATC-ASR-Dataset") |
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``` |
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2. **Training**: |
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The dataset is ready for speech recognition tasks such as fine-tuning Whisper models. It includes training and test splits to evaluate models based on Word Error Rate (WER). |
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## Reproducibility |
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All preprocessing scripts and data creation pipelines are publicly available in the companion GitHub repository: |
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[ATC ASR Dataset Preparation Toolkit (GitHub)](https://github.com/jack-tol/atc-asr-dataset-preparation-toolkit) |
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This includes: |
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- Scripts to process raw UWB, ATCO2, and ATCC datasets |
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- Tools for combining, splitting, and augmenting data |
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- Upload scripts for Hugging Face dataset integration |
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## References |
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- [ATC ASR_Dataset (Combined and Cleaned Dataset on Hugging Face)](https://huggingface.co/datasets/jacktol/ATC_ASR_Dataset) |
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- [ATC ASR Dataset Preparation Toolkit (GitHub Repository)](https://github.com/jack-tol/atc-asr-dataset-preparation-toolkit) |
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- [ATCC Corpus (LDC94S14A, Raw)](https://catalog.ldc.upenn.edu/LDC94S14A) |
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- [ATCO2 1-Hour Test Subset (Raw)](https://www.replaywell.com/atco2/download/ATCO2-ASRdataset-v1_beta.tgz) |
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- [Juan Pablo Zuluaga – UWB ATC Dataset on GitHub](https://github.com/idiap/atco2-corpus/tree/main/data/databases/uwb_atcc) |
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- [Juan Pablo Zuluaga – UWB ATC Dataset on Hugging Face](https://huggingface.co/datasets/Jzuluaga/uwb_atcc) |
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- [UWB ATC Corpus (Raw)](https://lindat.mff.cuni.cz/repository/xmlui/handle/11858/00-097C-0000-0001-CCA1-0) |
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## Citation |
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If you use this dataset, please cite the original UWB and ATCO2 corpora where appropriate. |
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For data processing methodology and code, reference the [ATC ASR Dataset Preparation Toolkit](https://github.com/jack-tol/atc-asr-dataset-preparation-toolkit). |
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Mentioning or linking to this Hugging Face dataset page helps support transparency and future development of open ATC ASR resources. |
