{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7b378ac1-1035-4f5d-9c16-68c14178389b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "from ftfy import fix_encoding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1a8017c7-f7a1-4b17-804b-c4d404511969",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Download and unzip archive from: https://www.dfki.uni-kl.de/cybermapping/data/CO-Fun-1.0-anonymized.zip\n",
    "base_path = Path(\"./prepared-data-and-code/NER/CRF/\")\n",
    "\n",
    "splits = {\n",
    "    \"train\": base_path / \"train_set.txt\",\n",
    "    \"dev\": base_path / \"dev_set.txt\",\n",
    "    \"test\": base_path / \"test_set.txt\",\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ab1deaef-adf3-4c4e-8da2-0bcc833615b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "for split_name, split_file in splits.items():\n",
    "    with open(split_file, \"rt\") as f_p:\n",
    "        buffer = f_p.readlines()\n",
    "    buffer = \"[\" + \"\".join(buffer) + \"]\"\n",
    "    data = eval(buffer)\n",
    "\n",
    "    with open(f\"{split_name}.tsv\", \"wt\") as f_out:\n",
    "        for sentence in data:\n",
    "            for line in sentence:\n",
    "                token, pos, ner = line\n",
    "                token = fix_encoding(token)\n",
    "                f_out.write(f\"{token}\\t{pos}\\t{ner}\\n\")\n",
    "            f_out.write(\"\\n\")"
   ]
  }
 ],
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