Duplicate from jacktol/ATC-ASR-Dataset

Co-authored-by: Jack Tol <jacktol@users.noreply.huggingface.co>

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+# Audio files - uncompressed
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README.md

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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.

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