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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 🤗 Experiments over hf dataset"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import datasets\n",
"from datasets import load_dataset"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Using custom data configuration default\n",
"Reusing dataset ctkfacts_nli (/Users/bertik/.cache/huggingface/datasets/ctkfacts_nli/default/0.0.0/5dcd805dfbd9694ead18f5cf4da8d902a1a1ca53685a5ebabd33f3d314dd597d)\n",
"100%|██████████| 3/3 [00:00<00:00, 409.28it/s]\n"
]
}
],
"source": [
"d=load_dataset(\"../ctkfacts_nli.py\")"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"DatasetDict({\n",
" train: Dataset({\n",
" features: ['id', 'label', 'evidence', 'claim'],\n",
" num_rows: 2903\n",
" })\n",
" validation: Dataset({\n",
" features: ['id', 'label', 'evidence', 'claim'],\n",
" num_rows: 377\n",
" })\n",
" test: Dataset({\n",
" features: ['id', 'label', 'evidence', 'claim'],\n",
" num_rows: 431\n",
" })\n",
"})"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"d"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
" _| _| _| _| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _|_|_|_| _|_| _|_|_| _|_|_|_|\n",
" _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|\n",
" _|_|_|_| _| _| _| _|_| _| _|_| _| _| _| _| _| _|_| _|_|_| _|_|_|_| _| _|_|_|\n",
" _| _| _| _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|\n",
" _| _| _|_| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _| _| _| _|_|_| _|_|_|_|\n",
"\n",
" \n",
"Username: ^C\n",
"Traceback (most recent call last):\n",
" File \"/opt/homebrew/bin/huggingface-cli\", line 8, in <module>\n",
" sys.exit(main())\n",
" File \"/opt/homebrew/lib/python3.9/site-packages/huggingface_hub/commands/huggingface_cli.py\", line 41, in main\n",
" service.run()\n",
" File \"/opt/homebrew/lib/python3.9/site-packages/huggingface_hub/commands/user.py\", line 169, in run\n",
" username = input(\"Username: \")\n",
"KeyboardInterrupt\n"
]
}
],
"source": [
"!huggingface-cli login"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Downloading: 100%|██████████| 2.55k/2.55k [00:00<00:00, 1.33MB/s]\n",
"Using custom data configuration default\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading and preparing dataset ctkfacts_nli/default to /Users/bertik/.cache/huggingface/datasets/heruberuto___ctkfacts_nli/default/0.0.0/5dcd805dfbd9694ead18f5cf4da8d902a1a1ca53685a5ebabd33f3d314dd597d...\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Downloading: 100%|██████████| 2.14M/2.14M [00:00<00:00, 2.86MB/s]\n",
"Downloading: 100%|██████████| 247k/247k [00:00<00:00, 386kB/s]\n",
"Downloading: 100%|██████████| 287k/287k [00:00<00:00, 450kB/s]\n",
"100%|██████████| 3/3 [00:04<00:00, 1.66s/it]\n",
"100%|██████████| 3/3 [00:00<00:00, 976.56it/s]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Dataset ctkfacts_nli downloaded and prepared to /Users/bertik/.cache/huggingface/datasets/heruberuto___ctkfacts_nli/default/0.0.0/5dcd805dfbd9694ead18f5cf4da8d902a1a1ca53685a5ebabd33f3d314dd597d. Subsequent calls will reuse this data.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 3/3 [00:00<00:00, 811.96it/s]\n"
]
},
{
"data": {
"text/plain": [
"DatasetDict({\n",
" train: Dataset({\n",
" features: ['id', 'label', 'evidence', 'claim'],\n",
" num_rows: 2903\n",
" })\n",
" validation: Dataset({\n",
" features: ['id', 'label', 'evidence', 'claim'],\n",
" num_rows: 377\n",
" })\n",
" test: Dataset({\n",
" features: ['id', 'label', 'evidence', 'claim'],\n",
" num_rows: 431\n",
" })\n",
"})"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"load_dataset(\"heruberuto/ctkfacts_nli\", use_auth_token=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"interpreter": {
"hash": "b0fa6594d8f4cbf19f97940f81e996739fb7646882a419484c72d19e05852a7e"
},
"kernelspec": {
"display_name": "Python 3.9.7 64-bit",
"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",
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"orig_nbformat": 4
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