156 lines
3.6 KiB
Plaintext
156 lines
3.6 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"path1 = './entities.txt'\n",
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"path2 = './relations.txt'\n",
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"path3 = './train.tsv'\n",
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"path4 = './dev.tsv'\n",
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"path5 = './test.tsv'\n",
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"path6 = './get_neighbor/entity2id.txt'\n",
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"path7 = './get_neighbor/relation2id.txt'\n",
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"path8 = './get_neighbor/train2id.txt'\n",
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"path9 = './get_neighbor/valid2id.txt'\n",
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"path10 = './get_neighbor/test2id.txt'"
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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": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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"with open(path1, 'r') as f:\n",
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" a = f.readlines()\n",
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"cnt = 0\n",
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"with open(path6, 'w') as f:\n",
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" for line in a:\n",
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" en = line.strip()\n",
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" f.write(en + '\\t' + str(cnt) + '\\n')\n",
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" cnt += 1\n",
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" "
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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": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"with open(path2, 'r') as f:\n",
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" a = f.readlines()\n",
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"cnt = 0\n",
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"with open(path7, 'w') as f:\n",
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" for line in a:\n",
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" re = line.strip()\n",
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" f.write(re + '\\t' + str(cnt) + '\\n')\n",
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" cnt += 1\n",
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" "
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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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"source": [
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"with open(path6, 'r') as f:\n",
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" a = f.readlines()\n",
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"en2id = {}\n",
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"for line in a:\n",
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" b = line.strip().split('\\t')\n",
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" en, num = b[0], b[1]\n",
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" en2id[en] = num"
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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": 12,
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"metadata": {},
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"outputs": [],
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"source": [
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"with open(path7, 'r') as f:\n",
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" a = f.readlines()\n",
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"re2id = {}\n",
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"for line in a:\n",
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" b = line.strip().split('\\t')\n",
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" re, num = b[0], b[1]\n",
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" re2id[re] = num"
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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": 14,
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"metadata": {},
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"outputs": [],
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"source": [
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"with open(path3, 'r') as f:\n",
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" a = f.readlines()\n",
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"with open(path8, 'w') as f:\n",
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" for line in a:\n",
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" b = line.strip().split('\\t')\n",
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" h, r, t = b[0], b[1], b[2]\n",
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" f.write(en2id[h] + ' ' + re2id[r] + ' ' + en2id[t] + '\\n')\n",
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" "
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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": 15,
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"metadata": {},
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"outputs": [],
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"source": [
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"with open(path4, 'r') as f:\n",
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" a = f.readlines()\n",
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"with open(path9, 'w') as f:\n",
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" for line in a:\n",
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" b = line.strip().split('\\t')\n",
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" h, r, t = b[0], b[1], b[2]\n",
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" f.write(en2id[h] + ' ' + re2id[r] + ' ' + en2id[t] + '\\n')\n",
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" "
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"with open(path5, 'r') as f:\n",
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" a = f.readlines()\n",
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"with open(path10, 'w') as f:\n",
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" for line in a:\n",
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" b = line.strip().split('\\t')\n",
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" h, r, t = b[0], b[1], b[2]\n",
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" f.write(en2id[h] + ' ' + re2id[r] + ' ' + en2id[t] + '\\n')\n",
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" "
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python [default]",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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