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Browse files- README.md +69 -0
- dataset_dict.json +1 -0
- train/data-00000-of-00001.arrow +3 -0
- train/dataset_info.json +16 -0
- train/state.json +13 -0
- validation/data-00000-of-00001.arrow +3 -0
- validation/dataset_info.json +16 -0
- validation/state.json +13 -0
README.md
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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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# T-ATIS Dataset
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## Dataset Description
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This dataset contains aviation ATIS (Automatic Terminal Information Service) recordings for fine-tuning Whisper ASR models.
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### Dataset Summary
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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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### Data Fields
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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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### Usage
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```python
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from datasets import load_dataset
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# Load the dataset
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dataset = load_dataset("Mrjadkowski/t-atis-whisper")
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# Access samples
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print(dataset["train"][0])
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```
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### Fine-tuning Whisper
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This dataset is formatted for direct use with Whisper fine-tuning scripts:
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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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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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# Your training code here
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```
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### Data Collection
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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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### License
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Please ensure compliance with aviation data usage regulations.
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dataset_dict.json
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{"splits": ["train", "validation"]}
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train/data-00000-of-00001.arrow
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version https://git-lfs.github.com/spec/v1
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oid sha256:c3362111ea28b5db178d1e3e4d1548cb75ebda30341c9ebf0d9a482337d0813e
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size 17291912
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train/dataset_info.json
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{
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"citation": "",
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"description": "",
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"features": {
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"audio": {
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"sampling_rate": 16000,
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"_type": "Audio"
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},
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"sentence": {
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"dtype": "string",
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"_type": "Value"
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}
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},
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"homepage": "",
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"license": ""
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}
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train/state.json
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{
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"_data_files": [
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{
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"filename": "data-00000-of-00001.arrow"
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}
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],
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"_fingerprint": "23727c83b7186751",
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"_format_columns": null,
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"_format_kwargs": {},
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"_format_type": null,
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"_output_all_columns": false,
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"_split": null
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}
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validation/data-00000-of-00001.arrow
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version https://git-lfs.github.com/spec/v1
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oid sha256:99d9f492010ae6cd86af8835712bb80b4d7bead4099e251deaf8c2f255027a7c
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size 1921960
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validation/dataset_info.json
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{
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"citation": "",
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"description": "",
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"features": {
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"audio": {
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"sampling_rate": 16000,
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"_type": "Audio"
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},
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"sentence": {
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"dtype": "string",
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"_type": "Value"
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}
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},
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"homepage": "",
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"license": ""
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}
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validation/state.json
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{
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"_data_files": [
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{
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"filename": "data-00000-of-00001.arrow"
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}
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],
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"_fingerprint": "f109288701c3bb35",
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"_format_columns": null,
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"_format_kwargs": {},
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"_format_type": null,
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"_output_all_columns": false,
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"_split": null
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}
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