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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "461b224aa295437b8ddd80ccb5b5e683",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Saving the dataset (0/4 shards): 0%| | 0/3600000 [00:00<?, ? examples/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "1628189e590d446588f57357d7e7a035",
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"version_minor": 0
},
"text/plain": [
"Saving the dataset (0/1 shards): 0%| | 0/400000 [00:00<?, ? examples/s]"
]
},
"metadata": {},
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{
"data": {
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"text/plain": [
"Saving the dataset (0/1 shards): 0%| | 0/25000 [00:00<?, ? examples/s]"
]
},
"metadata": {},
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{
"data": {
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"text/plain": [
"Saving the dataset (0/1 shards): 0%| | 0/25000 [00:00<?, ? examples/s]"
]
},
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{
"data": {
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"text/plain": [
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]
},
"metadata": {},
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}
],
"source": [
"from datasets import load_dataset\n",
"\n",
"dataset_polarity = load_dataset(\"fancyzhx/amazon_polarity\")\n",
"dataset_polarity.save_to_disk(\"polarity\")\n",
"\n",
"dataset_imdb = load_dataset(\"stanfordnlp/imdb\")\n",
"dataset_imdb.save_to_disk(\"imdb\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "monkey-coding-dl-project-rj23F0vJ-py3.12",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
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},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.5"
}
},
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}
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