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