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| 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. |