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{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"from datasets import load_dataset"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Downloading data files: 0%| | 0/1 [06:36<?, ?it/s]\n",
"Downloading data: 64%|██████▍ | 252M/392M [05:05<02:50, 823kB/s] \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'audio': {'path': None, 'array': array([0.0010376 , 0.00164795, 0.00180054, ..., 0.00109863, 0.00143433,\n",
" 0. ]), 'sampling_rate': 16000}, 'sentence': 'I. Siihen aikaan, kun isä lampun osti, sanoi hän äidille näinikään: --Äiti hoi, kuulehan,--'}\n"
]
}
],
"source": [
"css_10 = load_dataset(\"Finnish-NLP/css10_audio_processed\", split='train', streaming=True)\n",
"print(next(iter(css_10)))"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'id': 110, 'num_samples': 216000, 'path': None, 'audio': {'path': 'train/1001766524179559127.wav', 'array': array([0. , 0. , 0. , ..., 0.00033885, 0.00047046,\n",
" 0.00032645]), 'sampling_rate': 16000}, 'transcription': 'kapseli liikkuu noin 12,8 kilometrin eli 8 mailin sekuntivauhdilla riittävän nopeasti mennäkseen san franciscosta los angelesiin yhdessä minuutissa', 'raw_transcription': 'Kapseli liikkuu noin 12,8 kilometrin eli 8 mailin sekuntivauhdilla – riittävän nopeasti mennäkseen San Franciscosta Los Angelesiin yhdessä minuutissa.', 'gender': 1, 'lang_id': 24, 'language': 'Finnish', 'lang_group_id': 0}\n"
]
}
],
"source": [
"from datasets import load_dataset\n",
"fleurs = load_dataset(\"google/fleurs\", \"fi_fi\", split=\"train\", streaming=True)\n",
"print(next(iter(fleurs)))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "WhisperFinetuneEnv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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