Commit
Β·
bb59f53
1
Parent(s):
395aeb1
New repo test
Browse files- testik/experiments.ipynb +139 -14
testik/experiments.ipynb
CHANGED
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Using custom data configuration default\n"
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]
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},
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{
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mNotImplementedError\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m/var/folders/6z/tk1x_gtj40lgc1zd7y9pql3h0000gn/T/ipykernel_83405/3889717483.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mload_dataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"ctkfacts_nli.py\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[0;32m/opt/homebrew/lib/python3.9/site-packages/datasets/load.py\u001b[0m in \u001b[0;36mload_dataset\u001b[0;34m(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, revision, use_auth_token, task, streaming, script_version, **config_kwargs)\u001b[0m\n\u001b[1;32m 1602\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1603\u001b[0m \u001b[0;31m# Create a dataset builder\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1604\u001b[0;31m builder_instance = load_dataset_builder(\n\u001b[0m\u001b[1;32m 1605\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1606\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;32m/opt/homebrew/lib/python3.9/site-packages/datasets/load.py\u001b[0m in \u001b[0;36mload_dataset_builder\u001b[0;34m(path, name, data_dir, data_files, cache_dir, features, download_config, download_mode, revision, use_auth_token, script_version, **config_kwargs)\u001b[0m\n\u001b[1;32m 1460\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1461\u001b[0m \u001b[0;31m# Instantiate the dataset builder\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1462\u001b[0;31m builder_instance: DatasetBuilder = builder_cls(\n\u001b[0m\u001b[1;32m 1463\u001b[0m \u001b[0mcache_dir\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcache_dir\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1464\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;32m/opt/homebrew/lib/python3.9/site-packages/datasets/builder.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, writer_batch_size, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1041\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1042\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwriter_batch_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1043\u001b[0;31m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mGeneratorBasedBuilder\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1044\u001b[0m \u001b[0;31m# Batch size used by the ArrowWriter\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1045\u001b[0m \u001b[0;31m# It defines the number of samples that are kept in memory before writing them\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;32m/opt/homebrew/lib/python3.9/site-packages/datasets/builder.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, cache_dir, name, hash, base_path, features, use_auth_token, namespace, data_files, data_dir, **config_kwargs)\u001b[0m\n\u001b[1;32m 265\u001b[0m \u001b[0;31m# Prefill datasetinfo\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 266\u001b[0m \u001b[0minfo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_exported_dataset_info\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 267\u001b[0;31m \u001b[0minfo\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_info\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 268\u001b[0m \u001b[0minfo\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuilder_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 269\u001b[0m \u001b[0minfo\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconfig_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;32m/opt/homebrew/lib/python3.9/site-packages/datasets/builder.py\u001b[0m in \u001b[0;36m_info\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 477\u001b[0m \u001b[0minfo\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mDatasetInfo\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0mThe\u001b[0m \u001b[0mdataset\u001b[0m \u001b[0minformation\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 478\u001b[0m \"\"\"\n\u001b[0;32m--> 479\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mNotImplementedError\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 480\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 481\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mclassmethod\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;31mNotImplementedError\u001b[0m: "
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]
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}
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],
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"source": [
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"load_dataset(\"ctkfacts_nli
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Using custom data configuration default\n",
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"Reusing dataset ctkfacts_nli (/Users/bertik/.cache/huggingface/datasets/ctkfacts_nli/default/0.0.0/5dcd805dfbd9694ead18f5cf4da8d902a1a1ca53685a5ebabd33f3d314dd597d)\n",
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"100%|ββββββββββ| 3/3 [00:00<00:00, 409.28it/s]\n"
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]
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}
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],
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"source": [
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"d=load_dataset(\"../ctkfacts_nli.py\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"DatasetDict({\n",
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" train: Dataset({\n",
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" features: ['id', 'label', 'evidence', 'claim'],\n",
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" num_rows: 2903\n",
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" })\n",
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" validation: Dataset({\n",
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" features: ['id', 'label', 'evidence', 'claim'],\n",
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" num_rows: 377\n",
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" })\n",
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" test: Dataset({\n",
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" features: ['id', 'label', 'evidence', 'claim'],\n",
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" num_rows: 431\n",
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" })\n",
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"})"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"d"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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" _| _| _| _| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _|_|_|_| _|_| _|_|_| _|_|_|_|\n",
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" _| _| _| _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|\n",
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"\n",
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" \n",
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"Username: ^C\n",
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"Traceback (most recent call last):\n",
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" File \"/opt/homebrew/bin/huggingface-cli\", line 8, in <module>\n",
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" sys.exit(main())\n",
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" File \"/opt/homebrew/lib/python3.9/site-packages/huggingface_hub/commands/huggingface_cli.py\", line 41, in main\n",
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" service.run()\n",
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" File \"/opt/homebrew/lib/python3.9/site-packages/huggingface_hub/commands/user.py\", line 169, in run\n",
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" username = input(\"Username: \")\n",
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"KeyboardInterrupt\n"
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]
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}
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],
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"source": [
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"!huggingface-cli login"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Downloading: 100%|ββββββββββ| 2.55k/2.55k [00:00<00:00, 1.33MB/s]\n",
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"Using custom data configuration default\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Downloading and preparing dataset ctkfacts_nli/default to /Users/bertik/.cache/huggingface/datasets/heruberuto___ctkfacts_nli/default/0.0.0/5dcd805dfbd9694ead18f5cf4da8d902a1a1ca53685a5ebabd33f3d314dd597d...\n"
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"name": "stderr",
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"text": [
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"Downloading: 100%|ββββββββββ| 2.14M/2.14M [00:00<00:00, 2.86MB/s]\n",
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"Downloading: 100%|ββββββοΏ½οΏ½οΏ½βββ| 247k/247k [00:00<00:00, 386kB/s]\n",
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"100%|ββββββββββ| 3/3 [00:04<00:00, 1.66s/it]\n",
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+
]
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| 135 |
+
},
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| 136 |
+
{
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| 137 |
+
"name": "stdout",
|
| 138 |
+
"output_type": "stream",
|
| 139 |
+
"text": [
|
| 140 |
+
"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"
|
| 141 |
+
]
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"name": "stderr",
|
| 145 |
+
"output_type": "stream",
|
| 146 |
+
"text": [
|
| 147 |
+
"100%|ββββββββββ| 3/3 [00:00<00:00, 811.96it/s]\n"
|
| 148 |
+
]
|
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},
|
| 150 |
+
{
|
| 151 |
+
"data": {
|
| 152 |
+
"text/plain": [
|
| 153 |
+
"DatasetDict({\n",
|
| 154 |
+
" train: Dataset({\n",
|
| 155 |
+
" features: ['id', 'label', 'evidence', 'claim'],\n",
|
| 156 |
+
" num_rows: 2903\n",
|
| 157 |
+
" })\n",
|
| 158 |
+
" validation: Dataset({\n",
|
| 159 |
+
" features: ['id', 'label', 'evidence', 'claim'],\n",
|
| 160 |
+
" num_rows: 377\n",
|
| 161 |
+
" })\n",
|
| 162 |
+
" test: Dataset({\n",
|
| 163 |
+
" features: ['id', 'label', 'evidence', 'claim'],\n",
|
| 164 |
+
" num_rows: 431\n",
|
| 165 |
+
" })\n",
|
| 166 |
+
"})"
|
| 167 |
+
]
|
| 168 |
+
},
|
| 169 |
+
"execution_count": 4,
|
| 170 |
+
"metadata": {},
|
| 171 |
+
"output_type": "execute_result"
|
| 172 |
}
|
| 173 |
],
|
| 174 |
"source": [
|
| 175 |
+
"load_dataset(\"heruberuto/ctkfacts_nli\", use_auth_token=True)"
|
| 176 |
]
|
| 177 |
},
|
| 178 |
{
|