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  1. README.md +17 -2
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@@ -12,14 +12,29 @@ dataset_info:
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  num_bytes: 1918783424.468
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  num_examples: 7588
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  - name: validation
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- num_bytes: 124684816.0
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  num_examples: 504
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  - name: test
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  num_bytes: 522313241.502
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  num_examples: 2026
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  download_size: 2524910376
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  dataset_size: 2565781481.97
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for "atco2-asr-atcosim"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
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  num_bytes: 1918783424.468
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  num_examples: 7588
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  - name: validation
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+ num_bytes: 124684816
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  num_examples: 504
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  - name: test
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  num_bytes: 522313241.502
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  num_examples: 2026
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  download_size: 2524910376
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  dataset_size: 2565781481.97
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+ task_categories:
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+ - automatic-speech-recognition
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+ language:
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+ - en
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+ tags:
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+ - air traffic control
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+ - automatic speech recognition
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+ - natural language processing
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+ - atc
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+ - asr
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+ - nlp
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+ - atco2
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+ - atcosim
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+ pretty_name: ATCO2-ASR-ATCOSIM
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  ---
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  # Dataset Card for "atco2-asr-atcosim"
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+ This is a dataset constructed from two datasets: [TCO2-ASR(https://huggingface.co/datasets/jlvdoorn/atco2-asr)] and [ATCOSIM](https://huggingface.co/datasets/jlvdoorn/atcosim).
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+ It is divided into 75% train, 5% validation, 20% test by selecting files randomly. Some of the files have additional information that is presented in the 'info' file.