Relphormer baseline

dataset/WN18RR/get_neighbor.ipynb

@@ -0,0 +1,155 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "path1 = './entities.txt'\n",
+    "path2 = './relations.txt'\n",
+    "path3 = './train.tsv'\n",
+    "path4 = './dev.tsv'\n",
+    "path5 = './test.tsv'\n",
+    "path6 = './get_neighbor/entity2id.txt'\n",
+    "path7 = './get_neighbor/relation2id.txt'\n",
+    "path8 = './get_neighbor/train2id.txt'\n",
+    "path9 = './get_neighbor/valid2id.txt'\n",
+    "path10 = './get_neighbor/test2id.txt'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open(path1, 'r') as f:\n",
+    "    a = f.readlines()\n",
+    "cnt = 0\n",
+    "with open(path6, 'w') as f:\n",
+    "    for line in a:\n",
+    "        en = line.strip()\n",
+    "        f.write(en + '\\t' + str(cnt) + '\\n')\n",
+    "        cnt += 1\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open(path2, 'r') as f:\n",
+    "    a = f.readlines()\n",
+    "cnt = 0\n",
+    "with open(path7, 'w') as f:\n",
+    "    for line in a:\n",
+    "        re = line.strip()\n",
+    "        f.write(re + '\\t' + str(cnt) + '\\n')\n",
+    "        cnt += 1\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open(path6, 'r') as f:\n",
+    "    a = f.readlines()\n",
+    "en2id = {}\n",
+    "for line in a:\n",
+    "    b = line.strip().split('\\t')\n",
+    "    en, num = b[0], b[1]\n",
+    "    en2id[en] = num"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open(path7, 'r') as f:\n",
+    "    a = f.readlines()\n",
+    "re2id = {}\n",
+    "for line in a:\n",
+    "    b = line.strip().split('\\t')\n",
+    "    re, num = b[0], b[1]\n",
+    "    re2id[re] = num"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open(path3, 'r') as f:\n",
+    "    a = f.readlines()\n",
+    "with open(path8, 'w') as f:\n",
+    "    for line in a:\n",
+    "        b = line.strip().split('\\t')\n",
+    "        h, r, t = b[0], b[1], b[2]\n",
+    "        f.write(en2id[h] + ' ' + re2id[r] + ' ' + en2id[t] + '\\n')\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open(path4, 'r') as f:\n",
+    "    a = f.readlines()\n",
+    "with open(path9, 'w') as f:\n",
+    "    for line in a:\n",
+    "        b = line.strip().split('\\t')\n",
+    "        h, r, t = b[0], b[1], b[2]\n",
+    "        f.write(en2id[h] + ' ' + re2id[r] + ' ' + en2id[t] + '\\n')\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open(path5, 'r') as f:\n",
+    "    a = f.readlines()\n",
+    "with open(path10, 'w') as f:\n",
+    "    for line in a:\n",
+    "        b = line.strip().split('\\t')\n",
+    "        h, r, t = b[0], b[1], b[2]\n",
+    "        f.write(en2id[h] + ' ' + re2id[r] + ' ' + en2id[t] + '\\n')\n",
+    "    "
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [default]",
+   "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": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

dataset/WN18RR/get_neighbor/relation2id.txt

@@ -0,0 +1,11 @@
+_member_of_domain_usage	0
+_has_part	1
+_also_see	2
+_hypernym	3
+_synset_domain_topic_of	4
+_derivationally_related_form	5
+_similar_to	6
+_instance_hypernym	7
+_verb_group	8
+_member_meronym	9
+_member_of_domain_region	10

dataset/WN18RR/relation2text.txt

@@ -0,0 +1,11 @@
+_member_of_domain_usage	member of domain usage
+_has_part	has part
+_also_see	also see
+_hypernym	hypernym
+_synset_domain_topic_of	synset domain topic of
+_derivationally_related_form	derivationally related form
+_similar_to	similar to
+_instance_hypernym	instance hypernym
+_verb_group	verb group
+_member_meronym	member meronym
+_member_of_domain_region	member of domain region

dataset/WN18RR/relations.txt

@@ -0,0 +1,11 @@
+_member_of_domain_usage
+_has_part
+_also_see
+_hypernym
+_synset_domain_topic_of
+_derivationally_related_form
+_similar_to
+_instance_hypernym
+_verb_group
+_member_meronym
+_member_of_domain_region