4-load-and-explore-audio-dataset.ipynb

{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"from datasets import load_dataset\n\nminds = load_dataset(\"PolyAI/minds14\", name=\"en-AU\", split=\"train\")\nminds","metadata":{"execution":{"iopub.status.busy":"2023-08-20T11:55:22.248307Z","iopub.execute_input":"2023-08-20T11:55:22.249540Z","iopub.status.idle":"2023-08-20T11:55:49.927530Z","shell.execute_reply.started":"2023-08-20T11:55:22.249463Z","shell.execute_reply":"2023-08-20T11:55:49.926274Z"},"trusted":true},"execution_count":3,"outputs":[{"output_type":"display_data","data":{"text/plain":"Downloading builder script:   0%|          | 0.00/5.95k [00:00<?, ?B/s]","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"810dcf1d934d416c89272a319f5d2f24"}},"metadata":{}},{"name":"stdout","text":"Downloading and preparing dataset minds14/en-AU to /root/.cache/huggingface/datasets/PolyAI___minds14/en-AU/1.0.0/65c7e0f3be79e18a6ffaf879a083daf706312d421ac90d25718459cbf3c42696...\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"Downloading data:   0%|          | 0.00/471M [00:00<?, ?B/s]","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"2eeae8af6dad45d79429a1042849e76d"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"Generating train split: 0 examples [00:00, ? examples/s]","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"9f7c8ecb0d2c46f5acd0351b29b25b85"}},"metadata":{}},{"name":"stdout","text":"Dataset minds14 downloaded and prepared to /root/.cache/huggingface/datasets/PolyAI___minds14/en-AU/1.0.0/65c7e0f3be79e18a6ffaf879a083daf706312d421ac90d25718459cbf3c42696. Subsequent calls will reuse this data.\n","output_type":"stream"},{"execution_count":3,"output_type":"execute_result","data":{"text/plain":"Dataset({\n    features: ['path', 'audio', 'transcription', 'english_transcription', 'intent_class', 'lang_id'],\n    num_rows: 654\n})"},"metadata":{}}]},{"cell_type":"code","source":"example = minds[0]\nexample","metadata":{"execution":{"iopub.status.busy":"2023-08-20T11:56:38.417564Z","iopub.execute_input":"2023-08-20T11:56:38.419171Z","iopub.status.idle":"2023-08-20T11:56:51.787639Z","shell.execute_reply.started":"2023-08-20T11:56:38.419086Z","shell.execute_reply":"2023-08-20T11:56:51.786714Z"},"trusted":true},"execution_count":4,"outputs":[{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.5\n  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n","output_type":"stream"},{"execution_count":4,"output_type":"execute_result","data":{"text/plain":"{'path': '/root/.cache/huggingface/datasets/downloads/extracted/a19fbc5032eacf25eab0097832db7b7f022b42104fbad6bd5765527704a428b9/en-AU~PAY_BILL/response_4.wav',\n 'audio': {'path': '/root/.cache/huggingface/datasets/downloads/extracted/a19fbc5032eacf25eab0097832db7b7f022b42104fbad6bd5765527704a428b9/en-AU~PAY_BILL/response_4.wav',\n  'array': array([ 0.        ,  0.00024414, -0.00024414, ..., -0.00024414,\n          0.00024414,  0.0012207 ], dtype=float32),\n  'sampling_rate': 8000},\n 'transcription': 'I would like to pay my electricity bill using my card can you please assist',\n 'english_transcription': 'I would like to pay my electricity bill using my card can you please assist',\n 'intent_class': 13,\n 'lang_id': 2}"},"metadata":{}}]},{"cell_type":"markdown","source":"path: the path to the audio file (*.wav in this case).\n\narray: The decoded audio data, represented as a 1-dimensional NumPy array.\n\nsampling_rate. The sampling rate of the audio file (8,000 Hz in this example).","metadata":{}},{"cell_type":"code","source":"#To convert this number into a meaningful string, we can use the int2str() method:\nid2label = minds.features[\"intent_class\"].int2str\nid2label(example[\"intent_class\"])","metadata":{"execution":{"iopub.status.busy":"2023-08-20T12:00:07.747198Z","iopub.execute_input":"2023-08-20T12:00:07.748093Z","iopub.status.idle":"2023-08-20T12:00:07.756868Z","shell.execute_reply.started":"2023-08-20T12:00:07.748053Z","shell.execute_reply":"2023-08-20T12:00:07.755768Z"},"trusted":true},"execution_count":5,"outputs":[{"execution_count":5,"output_type":"execute_result","data":{"text/plain":"'pay_bill'"},"metadata":{}}]},{"cell_type":"code","source":"columns_to_remove = [\"lang_id\", \"english_transcription\"]\nminds = minds.remove_columns(columns_to_remove)\nminds","metadata":{"execution":{"iopub.status.busy":"2023-08-20T12:00:32.176216Z","iopub.execute_input":"2023-08-20T12:00:32.176669Z","iopub.status.idle":"2023-08-20T12:00:32.188312Z","shell.execute_reply.started":"2023-08-20T12:00:32.176632Z","shell.execute_reply":"2023-08-20T12:00:32.187090Z"},"trusted":true},"execution_count":6,"outputs":[{"execution_count":6,"output_type":"execute_result","data":{"text/plain":"Dataset({\n    features: ['path', 'audio', 'transcription', 'intent_class'],\n    num_rows: 654\n})"},"metadata":{}}]},{"cell_type":"code","source":"import gradio as gr\n\n\ndef generate_audio():\n    example = minds.shuffle()[0]\n    audio = example[\"audio\"]\n    return (\n        audio[\"sampling_rate\"],\n        audio[\"array\"],\n    ), id2label(example[\"intent_class\"])\n\n\nwith gr.Blocks() as demo:\n    with gr.Column():\n        for _ in range(4):\n            audio, label = generate_audio()\n            output = gr.Audio(audio, label=label)\n\ndemo.launch(debug=True)","metadata":{"execution":{"iopub.status.busy":"2023-08-20T12:02:06.755629Z","iopub.execute_input":"2023-08-20T12:02:06.756109Z","iopub.status.idle":"2023-08-20T12:28:44.981626Z","shell.execute_reply.started":"2023-08-20T12:02:06.756070Z","shell.execute_reply":"2023-08-20T12:28:44.980329Z"},"trusted":true},"execution_count":9,"outputs":[{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/gradio/processing_utils.py:183: UserWarning: Trying to convert audio automatically from float32 to 16-bit int format.\n  warnings.warn(warning.format(data.dtype))\n","output_type":"stream"},{"name":"stdout","text":"Running on local URL:  http://127.0.0.1:7860\nKaggle notebooks require sharing enabled. Setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n\nRunning on public URL: https://6c3ee196e554ca2e74.gradio.live\n\nThis share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"<IPython.core.display.HTML object>","text/html":"<div><iframe src=\"https://6c3ee196e554ca2e74.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"},"metadata":{}},{"name":"stdout","text":"Keyboard interruption in main thread... closing server.\nKilling tunnel 127.0.0.1:7860 <> https://6c3ee196e554ca2e74.gradio.live\n","output_type":"stream"},{"execution_count":9,"output_type":"execute_result","data":{"text/plain":""},"metadata":{}}]},{"cell_type":"code","source":"import librosa\nimport matplotlib.pyplot as plt\nimport librosa.display\n\narray = example[\"audio\"][\"array\"]\nsampling_rate = example[\"audio\"][\"sampling_rate\"]\n\nplt.figure().set_figwidth(12)\nlibrosa.display.waveshow(array, sr=sampling_rate)","metadata":{"execution":{"iopub.status.busy":"2023-08-20T12:28:44.983988Z","iopub.execute_input":"2023-08-20T12:28:44.985166Z","iopub.status.idle":"2023-08-20T12:28:45.727186Z","shell.execute_reply.started":"2023-08-20T12:28:44.985121Z","shell.execute_reply":"2023-08-20T12:28:45.725965Z"},"trusted":true},"execution_count":10,"outputs":[{"execution_count":10,"output_type":"execute_result","data":{"text/plain":"<librosa.display.AdaptiveWaveplot at 0x7df69a880f40>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 1200x480 with 1 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}