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{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"ExecuteTime": {
"end_time": "2021-07-14T12:54:01.369853Z",
"start_time": "2021-07-14T12:49:27.961404Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Using custom data configuration default-fdc6acb780b42528\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading and preparing dataset recipe_nlg/default (download: Unknown size, generated: 2.04 GiB, post-processed: Unknown size, total: 2.04 GiB) to /home/rtx/.cache/huggingface/datasets/recipe_nlg/default-fdc6acb780b42528/1.0.0/20c969e1192265af03a7186457bdb4a9109d5d68b92cad04c3ec894d6e5aee61...\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"HBox(children=(IntProgress(value=1, bar_style='info', max=1), HTML(value='')))"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"Dataset recipe_nlg downloaded and prepared to /home/rtx/.cache/huggingface/datasets/recipe_nlg/default-fdc6acb780b42528/1.0.0/20c969e1192265af03a7186457bdb4a9109d5d68b92cad04c3ec894d6e5aee61. Subsequent calls will reuse this data.\n"
]
}
],
"source": [
"from datasets import load_dataset\n",
"DATA_DIR = \"~/Downloads/dataset/\"\n",
"dataset = load_dataset(\"recipe_nlg\", data_dir=DATA_DIR)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"ExecuteTime": {
"end_time": "2021-07-14T12:58:25.150105Z",
"start_time": "2021-07-14T12:55:27.486385Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 2231142/2231142 [02:57<00:00, 12558.59it/s]\n"
]
}
],
"source": [
"from collections import Counter\n",
"from tqdm import tqdm\n",
"ctr = Counter()\n",
"\n",
"for row in tqdm(dataset[\"train\"]):\n",
" for item in row[\"ner\"]:\n",
" ctr[item] += 1"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"ExecuteTime": {
"end_time": "2021-07-14T13:02:09.315817Z",
"start_time": "2021-07-14T13:02:09.259046Z"
}
},
"outputs": [],
"source": [
"first_500 = list(set([x[0].lower() for x in ctr.most_common()[0:500]]))"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"ExecuteTime": {
"end_time": "2021-07-14T13:02:28.864546Z",
"start_time": "2021-07-14T13:02:28.856279Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"443"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(first_500)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"ExecuteTime": {
"end_time": "2021-07-14T13:02:53.656711Z",
"start_time": "2021-07-14T13:02:53.653868Z"
}
},
"outputs": [],
"source": [
"first_100 = sorted(first_500[:100])\n",
"next_100 = sorted(first_500[100:200])"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"ExecuteTime": {
"end_time": "2021-07-14T13:03:35.640538Z",
"start_time": "2021-07-14T13:03:35.634368Z"
}
},
"outputs": [],
"source": [
"d = {\n",
" \"first_100\": first_100,\n",
" \"next_100\": next_100\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"ExecuteTime": {
"end_time": "2021-07-14T13:03:52.682190Z",
"start_time": "2021-07-14T13:03:52.679624Z"
}
},
"outputs": [],
"source": [
"import json\n",
"with open(\"config.json\", \"w\") as f:\n",
" f.write(json.dumps(d))"
]
},
{
"cell_type": "code",
"execution_count": null,
"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": "3.7.1"
},
"toc": {
"base_numbering": 1,
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": false,
"title_cell": "Table of Contents",
"title_sidebar": "Contents",
"toc_cell": false,
"toc_position": {},
"toc_section_display": true,
"toc_window_display": false
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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