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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ task_categories:
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+ - automatic-speech-recognition
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+ tags:
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+ - aviation
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+ - ATIS
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+ - whisper
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+ - speech
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # T-ATIS Dataset
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+
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+ ## Dataset Description
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+
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+ This dataset contains aviation ATIS (Automatic Terminal Information Service) recordings for fine-tuning Whisper ASR models.
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+
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+ ### Dataset Summary
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+
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+ - **Language:** English
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+ - **Domain:** Aviation/ATC (Air Traffic Control)
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+ - **Task:** Automatic Speech Recognition
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+ - **Total Samples:** 20
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+ - **Train Samples:** 18
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+ - **Validation Samples:** 2
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+
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+ ### Data Fields
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+
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+ - `audio`: Audio file sampled at 16kHz
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+ - `sentence`: Human-corrected transcription of the audio
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+
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+ ### Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ # Load the dataset
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+ dataset = load_dataset("Mrjadkowski/t-atis-whisper")
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+
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+ # Access samples
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+ print(dataset["train"][0])
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+ ```
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+
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+ ### Fine-tuning Whisper
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+
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+ This dataset is formatted for direct use with Whisper fine-tuning scripts:
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+
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+ ```python
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+ from transformers import WhisperProcessor, WhisperForConditionalGeneration
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("Mrjadkowski/t-atis-whisper")
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+ processor = WhisperProcessor.from_pretrained("openai/whisper-base")
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+ model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-base")
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+
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+ # Your training code here
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+ ```
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+
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+ ### Data Collection
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+
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+ Audio recordings collected from live ATIS broadcasts at various airports.
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+ Transcriptions manually corrected for accuracy.
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+
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+ ### License
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+
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+ Please ensure compliance with aviation data usage regulations.
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