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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"id": "1383f909",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: transformers in /Users/markmcquade/opt/anaconda3/lib/python3.8/site-packages (4.11.3)\n",
"Collecting datasets\n",
" Downloading datasets-1.15.1-py3-none-any.whl (290 kB)\n",
"\u001b[K |████████████████████████████████| 290 kB 2.4 MB/s eta 0:00:01\n",
"\u001b[?25hCollecting fsspec[http]>=2021.05.0\n",
" Downloading fsspec-2021.11.0-py3-none-any.whl (132 kB)\n",
"\u001b[K |████████████████████████████████| 132 kB 3.8 MB/s eta 0:00:01\n",
"\u001b[?25hCollecting multiprocess\n",
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"\u001b[?25hCollecting dill\n",
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"\u001b[?25hRequirement already satisfied: pandas in /Users/markmcquade/opt/anaconda3/lib/python3.8/site-packages (from datasets) (1.2.4)\n",
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" Downloading huggingface_hub-0.1.2-py3-none-any.whl (59 kB)\n",
"\u001b[K |████████████████████████████████| 59 kB 4.4 MB/s eta 0:00:01\n",
"\u001b[?25hCollecting xxhash\n",
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"Requirement already satisfied: requests>=2.19.0 in /Users/markmcquade/opt/anaconda3/lib/python3.8/site-packages (from datasets) (2.25.1)\n",
"Collecting tqdm>=4.62.1\n",
" Using cached tqdm-4.62.3-py2.py3-none-any.whl (76 kB)\n",
"Collecting pyarrow!=4.0.0,>=1.0.0\n",
" Downloading pyarrow-6.0.1-cp38-cp38-macosx_10_13_x86_64.whl (19.1 MB)\n",
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"\u001b[?25hRequirement already satisfied: numpy>=1.17 in /Users/markmcquade/opt/anaconda3/lib/python3.8/site-packages (from datasets) (1.20.1)\n",
"Collecting aiohttp\n",
" Downloading aiohttp-3.8.1-cp38-cp38-macosx_10_9_x86_64.whl (574 kB)\n",
"\u001b[K |████████████████████████████████| 574 kB 5.0 MB/s eta 0:00:01\n",
"\u001b[?25hRequirement already satisfied: packaging in /Users/markmcquade/opt/anaconda3/lib/python3.8/site-packages (from datasets) (20.9)\n",
"Requirement already satisfied: pyyaml in /Users/markmcquade/opt/anaconda3/lib/python3.8/site-packages (from huggingface-hub<1.0.0,>=0.1.0->datasets) (5.4.1)\n",
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /Users/markmcquade/opt/anaconda3/lib/python3.8/site-packages (from huggingface-hub<1.0.0,>=0.1.0->datasets) (3.7.4.3)\n",
"Requirement already satisfied: filelock in /Users/markmcquade/opt/anaconda3/lib/python3.8/site-packages (from huggingface-hub<1.0.0,>=0.1.0->datasets) (3.0.12)\n",
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"Requirement already satisfied: chardet<5,>=3.0.2 in /Users/markmcquade/opt/anaconda3/lib/python3.8/site-packages (from requests>=2.19.0->datasets) (4.0.0)\n",
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"Requirement already satisfied: regex!=2019.12.17 in /Users/markmcquade/opt/anaconda3/lib/python3.8/site-packages (from transformers) (2021.4.4)\n",
"Collecting charset-normalizer<3.0,>=2.0\n",
" Using cached charset_normalizer-2.0.7-py3-none-any.whl (38 kB)\n",
"Collecting frozenlist>=1.1.1\n",
" Downloading frozenlist-1.2.0-cp38-cp38-macosx_10_9_x86_64.whl (81 kB)\n",
"\u001b[K |████████████████████████████████| 81 kB 7.0 MB/s eta 0:00:011\n",
"\u001b[?25hCollecting multidict<7.0,>=4.5\n",
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"\u001b[K |████████████████████████████████| 45 kB 4.0 MB/s eta 0:00:011\n",
"\u001b[?25hCollecting yarl<2.0,>=1.0\n",
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"\u001b[?25hRequirement already satisfied: attrs>=17.3.0 in /Users/markmcquade/opt/anaconda3/lib/python3.8/site-packages (from aiohttp->datasets) (20.3.0)\n",
"Collecting async-timeout<5.0,>=4.0.0a3\n",
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"Collecting aiosignal>=1.1.2\n",
" Downloading aiosignal-1.2.0-py3-none-any.whl (8.2 kB)\n",
"Requirement already satisfied: python-dateutil>=2.7.3 in /Users/markmcquade/opt/anaconda3/lib/python3.8/site-packages (from pandas->datasets) (2.8.1)\n",
"Requirement already satisfied: pytz>=2017.3 in /Users/markmcquade/opt/anaconda3/lib/python3.8/site-packages (from pandas->datasets) (2021.1)\n",
"Requirement already satisfied: six>=1.5 in /Users/markmcquade/opt/anaconda3/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas->datasets) (1.15.0)\n",
"Requirement already satisfied: joblib in /Users/markmcquade/opt/anaconda3/lib/python3.8/site-packages (from sacremoses->transformers) (1.0.1)\n",
"Requirement already satisfied: click in /Users/markmcquade/opt/anaconda3/lib/python3.8/site-packages (from sacremoses->transformers) (7.1.2)\n",
"Installing collected packages: multidict, frozenlist, yarl, charset-normalizer, async-timeout, aiosignal, tqdm, fsspec, dill, aiohttp, xxhash, pyarrow, multiprocess, huggingface-hub, datasets\n",
" Attempting uninstall: tqdm\n",
" Found existing installation: tqdm 4.59.0\n",
" Uninstalling tqdm-4.59.0:\n",
" Successfully uninstalled tqdm-4.59.0\n",
" Attempting uninstall: fsspec\n",
" Found existing installation: fsspec 0.9.0\n",
" Uninstalling fsspec-0.9.0:\n",
" Successfully uninstalled fsspec-0.9.0\n",
" Attempting uninstall: huggingface-hub\n",
" Found existing installation: huggingface-hub 0.0.19\n",
" Uninstalling huggingface-hub-0.0.19:\n",
" Successfully uninstalled huggingface-hub-0.0.19\n",
"Successfully installed aiohttp-3.8.1 aiosignal-1.2.0 async-timeout-4.0.1 charset-normalizer-2.0.7 datasets-1.15.1 dill-0.3.4 frozenlist-1.2.0 fsspec-2021.11.0 huggingface-hub-0.1.2 multidict-5.2.0 multiprocess-0.70.12.2 pyarrow-6.0.1 tqdm-4.62.3 xxhash-2.0.2 yarl-1.7.2\n"
]
}
],
"source": [
"!pip install transformers datasets"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "d0ec8542",
"metadata": {},
"outputs": [],
"source": [
"import datasets"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "248be0df",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Reusing dataset reuters21578 (/Users/markmcquade/.cache/huggingface/datasets/reuters21578/ModHayes/1.0.0/bd91fac5a25fc818873c02a7281cc276c9b326a9e6a89288fc6ba6967772240f)\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "6cbd2502b9d54505b2a60aa8f809a2f5",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/2 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from datasets import load_dataset\n",
"\n",
"dataset = load_dataset(\"reuters21578\", \"ModHayes\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "906c5716",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"DatasetDict({\n",
" test: Dataset({\n",
" features: ['text', 'text_type', 'topics', 'lewis_split', 'cgis_split', 'old_id', 'new_id', 'places', 'people', 'orgs', 'exchanges', 'date', 'title'],\n",
" num_rows: 722\n",
" })\n",
" train: Dataset({\n",
" features: ['text', 'text_type', 'topics', 'lewis_split', 'cgis_split', 'old_id', 'new_id', 'places', 'people', 'orgs', 'exchanges', 'date', 'title'],\n",
" num_rows: 20856\n",
" })\n",
"})"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dataset"
]
},
{
"cell_type": "markdown",
"id": "ee660fd8",
"metadata": {},
"source": [
"Remove unwanted columns"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "5a66ae17",
"metadata": {},
"outputs": [],
"source": [
"dataset = dataset.remove_columns(\n",
"['text_type', 'topics', 'lewis_split', 'cgis_split', 'old_id', \n",
" 'new_id', 'places', 'people', 'orgs', 'exchanges', 'date'\n",
"])\n",
"\n",
"dataset = dataset.rename_column('title', 'target')"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "bae56dc5",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"DatasetDict({\n",
" test: Dataset({\n",
" features: ['text', 'target'],\n",
" num_rows: 722\n",
" })\n",
" train: Dataset({\n",
" features: ['text', 'target'],\n",
" num_rows: 20856\n",
" })\n",
"})"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dataset"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "2d89fd84",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'text': 'Standard Oil Co and BP North America\\nInc said they plan to form a venture to manage the money market\\nborrowing and investment activities of both companies.\\n BP North America is a subsidiary of British Petroleum Co\\nPlc <BP>, which also owns a 55 pct interest in Standard Oil.\\n The venture will be called BP/Standard Financial Trading\\nand will be operated by Standard Oil under the oversight of a\\njoint management committee.\\n\\n Reuter\\n',\n",
" 'target': 'STANDARD OIL <SRD> TO FORM FINANCIAL UNIT'}"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dataset['train'][1]"
]
},
{
"cell_type": "markdown",
"id": "4151eddf",
"metadata": {},
"source": [
"Drop new lines and tabs, replace with white space. Remove commas, remove quotes. Replace \"Reuter\" from end of text. Drop extra white space agains. Remove html tags"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "76bc67d3",
"metadata": {},
"outputs": [],
"source": [
"def clean(row):\n",
" row['text'] = row['text'].replace('\\n',' ').replace('\\t',' ')\\\n",
" .replace(',','').replace('\\'','').replace('\\\"','')\\\n",
" .replace(' Reuter','').replace(' REUTER','')\n",
" row['text'] = \" \".join(row['text'].split())\n",
" row['target'] = row['target'].replace('<','<').replace('>','>')\n",
" return row"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "40bff5a5",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "7a4b761c23b84a138fa74ef9dfe9ed49",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/722 [00:00<?, ?ex/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "73c80676ca004de29295c8e5ef2512ea",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/20856 [00:00<?, ?ex/s]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"dataset = dataset.map(clean)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "d882cc08",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'text': 'Standard Oil Co and BP North America Inc said they plan to form a venture to manage the money market borrowing and investment activities of both companies. BP North America is a subsidiary of British Petroleum Co Plc <BP> which also owns a 55 pct interest in Standard Oil. The venture will be called BP/Standard Financial Trading and will be operated by Standard Oil under the oversight of a joint management committee.',\n",
" 'target': 'STANDARD OIL <SRD> TO FORM FINANCIAL UNIT'}"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dataset['train'][1]"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "22c4da2e",
"metadata": {},
"outputs": [],
"source": [
"dataset.save_to_disk('reuters_processed')"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "95ef34aa",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "17b994c03fe84d0082f285fd972c4140",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Creating CSV from Arrow format: 0%| | 0/3 [00:00<?, ?ba/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "4a3f180722184a2f90a288c35d313f3c",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Creating CSV from Arrow format: 0%| | 0/1 [00:00<?, ?ba/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"807451"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dataset['train'].to_csv('reuters_train.csv', index=False, header=True)\n",
"dataset['test'].to_csv('reuters_test.csv', index=False, header=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "489257d1",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.8.8"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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