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{
"cells": [
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"from datasets import load_dataset, DatasetDict"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'letter': 0, 'form': 1, 'email': 2, 'handwritten': 3, 'advertissement': 4, 'scientific report': 5, 'scientific publication': 6, 'specification': 7, 'file folder': 8, 'news article': 9, 'budget': 10, 'invoice': 11, 'presentation': 12, 'questionnaire': 13, 'resume': 14, 'memo': 15}\n"
]
}
],
"source": [
"labels = [\n",
" \"letter\", \n",
" \"form\", \n",
" \"email\", \n",
" \"handwritten\", \n",
" \"advertissement\", \n",
" \"scientific report\", \n",
" \"scientific publication\", \n",
" \"specification\",\n",
" \"file folder\", \n",
" \"news article\", \n",
" \"budget\", \n",
" \"invoice\", \n",
" \"presentation\", \n",
" \"questionnaire\", \n",
" \"resume\", \n",
" \"memo\",\n",
"]\n",
"id2label = {i: label for i, label in enumerate(labels)}\n",
"label2id = {label: i for i, label in enumerate(labels)}\n",
"\n",
"print(label2id)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Resolving data files: 100%|██████████| 319999/319999 [00:01<00:00, 179922.60it/s]\n",
"Using custom data configuration default-92674f9f14bd5f68\n",
"Reusing dataset image_folder (/home/chainyo/.cache/huggingface/datasets/image_folder/default-92674f9f14bd5f68/0.0.0/ee92df8e96c6907f3c851a987be3fd03d4b93b247e727b69a8e23ac94392a091)\n",
"100%|██████████| 1/1 [00:00<00:00, 1.10it/s]\n"
]
}
],
"source": [
"train_dataset = load_dataset(\"imagefolder\", data_dir=\"data/train\")\n",
"train_dataset = train_dataset[\"train\"]"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Resolving data files: 100%|██████████| 40000/40000 [00:00<00:00, 42366.47it/s] \n",
"Using custom data configuration default-3ddea2d6bbc33b4c\n",
"Reusing dataset image_folder (/home/chainyo/.cache/huggingface/datasets/image_folder/default-3ddea2d6bbc33b4c/0.0.0/ee92df8e96c6907f3c851a987be3fd03d4b93b247e727b69a8e23ac94392a091)\n",
"100%|██████████| 1/1 [00:00<00:00, 8.93it/s]\n"
]
}
],
"source": [
"test_dataset = load_dataset(\"imagefolder\", data_dir=\"data/test\")\n",
"test_dataset = test_dataset[\"train\"]"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Resolving data files: 100%|██████████| 40000/40000 [00:00<00:00, 127231.79it/s]\n",
"Using custom data configuration default-8c91b9b2f12e1b5f\n",
"Reusing dataset image_folder (/home/chainyo/.cache/huggingface/datasets/image_folder/default-8c91b9b2f12e1b5f/0.0.0/ee92df8e96c6907f3c851a987be3fd03d4b93b247e727b69a8e23ac94392a091)\n",
"100%|██████████| 1/1 [00:00<00:00, 7.66it/s]\n"
]
}
],
"source": [
"val_dataset = load_dataset(\"imagefolder\", data_dir=\"data/val\")\n",
"val_dataset = val_dataset[\"train\"]"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"dataset = DatasetDict({\n",
" \"train\": train_dataset,\n",
" \"val\": val_dataset,\n",
" \"test\": test_dataset\n",
"})"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"DatasetDict({\n",
" train: Dataset({\n",
" features: ['image', 'label'],\n",
" num_rows: 319999\n",
" })\n",
" val: Dataset({\n",
" features: ['image', 'label'],\n",
" num_rows: 40000\n",
" })\n",
" test: Dataset({\n",
" features: ['image', 'label'],\n",
" num_rows: 40000\n",
" })\n",
"})"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dataset"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Pushing split train to the Hub.\n",
"The repository already exists: the `private` keyword argument will be ignored.\n",
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"100%|██████████| 3/3 [00:02<00:00, 1.43ba/s]3%|████████▎ | 99/119 [52:59<15:25, 46.28s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.52ba/s]4%|████████▍ | 100/119 [53:47<14:48, 46.76s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.58ba/s]5%|████████▍ | 101/119 [54:41<14:38, 48.81s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.54ba/s]6%|████████▌ | 102/119 [55:29<13:44, 48.53s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.57ba/s]7%|████████▋ | 103/119 [56:10<12:20, 46.31s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.82ba/s]7%|████████▋ | 104/119 [56:57<11:41, 46.75s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.93ba/s]8%|████████▊ | 105/119 [57:26<09:39, 41.37s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.87ba/s]9%|████████▉ | 106/119 [57:52<07:55, 36.60s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.97ba/s]0%|████████▉ | 107/119 [58:23<06:59, 35.00s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.89ba/s]1%|█████████ | 108/119 [58:57<06:20, 34.57s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.86ba/s]2%|█████████▏| 109/119 [59:26<05:31, 33.11s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.86ba/s]2%|█████████▏| 110/119 [59:55<04:45, 31.72s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.92ba/s]3%|█████████▎| 111/119 [1:00:23<04:05, 30.69s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.78ba/s]4%|█████████▍| 112/119 [1:00:49<03:25, 29.33s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.86ba/s]5%|█████████▍| 113/119 [1:01:31<03:17, 33.00s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.78ba/s]6%|█████████▌| 114/119 [1:01:59<02:38, 31.70s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.89ba/s]7%|█████████▋| 115/119 [1:02:31<02:06, 31.72s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.77ba/s]7%|█████████▋| 116/119 [1:03:03<01:35, 31.71s/it]\n",
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"Pushing dataset shards to the dataset hub: 100%|██████████| 119/119 [1:04:41<00:00, 32.62s/it]\n",
"Pushing split val to the Hub.\n",
"The repository already exists: the `private` keyword argument will be ignored.\n",
"100%|██████████| 3/3 [00:01<00:00, 1.57ba/s]0%| | 0/15 [00:00<?, ?it/s]\n",
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"100%|██████████| 3/3 [00:01<00:00, 1.80ba/s]0%|████ | 6/15 [02:34<03:44, 24.99s/it]\n",
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"100%|██████████| 3/3 [00:01<00:00, 1.66ba/s]3%|█████▎ | 8/15 [03:20<02:49, 24.18s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.87ba/s]0%|██████ | 9/15 [04:01<02:54, 29.16s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.59ba/s]7%|██████▋ | 10/15 [04:28<02:23, 28.66s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.78ba/s]3%|███████▎ | 11/15 [04:48<01:44, 26.10s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.58ba/s]0%|████████ | 12/15 [05:28<01:30, 30.17s/it]\n",
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"100%|██████████| 3/3 [00:01<00:00, 1.83ba/s]3%|█████████▎| 14/15 [06:37<00:31, 31.72s/it]\n",
"Pushing dataset shards to the dataset hub: 100%|██████████| 15/15 [06:58<00:00, 27.89s/it]\n",
"Pushing split test to the Hub.\n",
"The repository already exists: the `private` keyword argument will be ignored.\n",
"100%|██████████| 3/3 [00:01<00:00, 1.66ba/s]0%| | 0/15 [00:00<?, ?it/s]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.86ba/s]7%|▋ | 1/15 [00:37<08:48, 37.75s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 2.11ba/s]3%|█▎ | 2/15 [00:58<05:57, 27.51s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 2.10ba/s]0%|██ | 3/15 [01:18<04:49, 24.15s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.94ba/s]7%|██▋ | 4/15 [01:37<04:03, 22.12s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.80ba/s]3%|███▎ | 5/15 [02:08<04:14, 25.41s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.83ba/s]0%|████ | 6/15 [02:31<03:40, 24.50s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.71ba/s]7%|████▋ | 7/15 [02:57<03:20, 25.08s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.66ba/s]3%|█████▎ | 8/15 [03:19<02:49, 24.22s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.77ba/s]0%|██████ | 9/15 [03:48<02:32, 25.49s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.75ba/s]7%|██████▋ | 10/15 [04:13<02:07, 25.58s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.73ba/s]3%|███████▎ | 11/15 [04:37<01:39, 24.99s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.57ba/s]0%|████████ | 12/15 [05:10<01:22, 27.46s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.73ba/s]7%|████████▋ | 13/15 [05:53<01:04, 32.24s/it]\n",
"100%|██████████| 3/3 [00:01<00:00, 1.81ba/s]3%|█████████▎| 14/15 [06:20<00:30, 30.55s/it]\n",
"Pushing dataset shards to the dataset hub: 100%|██████████| 15/15 [06:48<00:00, 27.20s/it]\n"
]
}
],
"source": [
"dataset.push_to_hub(\"ChainYo/rvl-cdip\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"interpreter": {
"hash": "d6f5ad4d04cbfdf412f1cb227626c5243110bb053a071a535525d68cbde39709"
},
"kernelspec": {
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"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
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|