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trans.ipynb

@@ -0,0 +1,54 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "\n",
+    "def trans_tsv(filename):\n",
+    "    res = []\n",
+    "    with open(f'./{filename}.tsv', 'r', encoding='utf-8') as f:\n",
+    "        for l in f.readlines():\n",
+    "            title, content = l.split('\\t')\n",
+    "            title, content = title.strip(), content.strip()\n",
+    "            res.append(json.dumps({'title': title, 'abst': content}, ensure_ascii=False) + '\\n')\n",
+    "    with open(f'./csl_title_{filename}.json', 'w', encoding='utf-8') as f:\n",
+    "        f.writelines(res)\n",
+    "\n",
+    "trans_tsv('val')\n",
+    "trans_tsv('train')\n",
+    "trans_tsv('test')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.8.8 ('base')",
+   "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"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "e42634819b8c191a5d07eaf23810ff32516dd8d3875f28ec3e488928fbd3c187"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}