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- ---
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- license: cc-by-4.0
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: validation
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- path: data/validation-*
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- - split: test
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- path: data/test-*
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- dataset_info:
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- features:
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- - name: audio
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- dtype:
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- audio:
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- sampling_rate: 16000
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- - name: sentence
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- dtype: string
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- - name: speaker_id
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- dtype: string
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- - name: mic
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- dtype: string
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- - name: duration
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- dtype: float64
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- splits:
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- - name: train
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- num_bytes: 8212128894.78
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- num_examples: 120245
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- - name: validation
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- num_bytes: 1296622162.01
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- num_examples: 13090
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- - name: test
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- num_bytes: 1623791447.32
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- num_examples: 27580
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- download_size: 13180737222
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- dataset_size: 11132542504.109999
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-4.0
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+ language:
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+ - th
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+ tags:
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+ - speech-recognition
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ - split: validation
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+ path: data/validation-*
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+ - split: test
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+ path: data/test-*
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+ dataset_info:
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+ features:
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+ - name: audio
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+ dtype:
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+ audio:
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+ sampling_rate: 16000
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+ - name: sentence
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+ dtype: string
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+ - name: speaker_id
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+ dtype: string
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+ - name: mic
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+ dtype: string
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+ - name: duration
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+ dtype: float64
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+ splits:
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+ - name: train
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+ num_bytes: 8212128894.78
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+ num_examples: 120245
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+ - name: validation
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+ num_bytes: 1296622162.01
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+ num_examples: 13090
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+ - name: test
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+ num_bytes: 1623791447.32
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+ num_examples: 27580
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+ download_size: 13180737222
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+ dataset_size: 11132542504.109999
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+ ---
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+
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+ # LOTUSDIS
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+
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+ ## Dataset Description
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+
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+ ## How to use
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+
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+ You can easily load the dataset using the 🤗 `datasets` library. The dataset can be downloaded and prepared with a single command:
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+ ```python
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+ from datasets import load_dataset
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+ lotus_dis = load_dataset("pattaraearth/LOTUSDIS", split="train")
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+ ```
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+
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+ To iterate through the dataset without downloading it entirely, you can use streaming mode:
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+ ```python
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+ from datasets import load_dataset
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+ lotus_dis = load_dataset("pattaraearth/LOTUSDIS", split="train", streaming=True)
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+ print(next(iter(lotus_dis)))
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+ ```
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+
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+ Learn more about how to load and prepare audio datasets in the [Hugging Face Audio Datasets tutorial](https://huggingface.co/blog/audio-datasets).
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+
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+ Full meeting session resources:
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+ - Audio files: [Download here](https://drive.google.com/file/d/1ofw99Y5W1p8f1DSaIbJkS0xWtuTI2Hrc/view)
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+ - Annotation files (TextGrid): [Download here](https://drive.google.com/file/d/14fMv_X_8sGDPGbnU-hpJ85Mug43AHlgO/view)