{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "87270bc7-2da0-490e-be8a-8cb06f38507b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from flair.datasets.sequence_labeling import ColumnCorpus\n",
    "\n",
    "from pathlib import Path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "08ebe948-4179-4a75-8c6b-0e2fcad293d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = {0: \"text\", 2: \"ner\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "af10c49b-002a-41f4-afde-172ac07251c0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-03-25 12:57:38,583 Reading data from .\n",
      "2024-03-25 12:57:38,585 Train: train.tsv\n",
      "2024-03-25 12:57:38,586 Dev: dev.tsv\n",
      "2024-03-25 12:57:38,586 Test: test.tsv\n"
     ]
    }
   ],
   "source": [
    "corpus = ColumnCorpus(\".\",\n",
    "                      column_format=columns,\n",
    "                      train_file=\"train.tsv\",\n",
    "                      dev_file=\"dev.tsv\",\n",
    "                      test_file=\"test.tsv\",\n",
    "                      comment_symbol=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "efd08709-9308-4244-a730-0d51b738520c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Corpus: 758 train + 94 dev + 96 test sentences'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str(corpus)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6d857c95-ae9f-4aab-803a-0a7e03ff632d",
   "metadata": {},
   "outputs": [],
   "source": [
    "base_path = Path(\"./prepared-data-and-code/\")\n",
    "\n",
    "indices_for_split = {\n",
    "    \"train\": base_path / \"train_indices.txt\",\n",
    "    \"dev\": base_path / \"valid_indices.txt\",\n",
    "    \"test\": base_path / \"test_indices.txt\",\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2529666f-793f-4d8c-a7aa-9b7d83975310",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_number_of_total_indices(filename: str) -> int:\n",
    "    indices_counter = 0\n",
    "    with open(filename, \"rt\") as f_p:\n",
    "        for line in f_p:\n",
    "            line = line.strip()\n",
    "            if not line:\n",
    "                continue\n",
    "            indices_counter += 1\n",
    "    return indices_counter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "49a69247-ef66-445b-b9e8-adcaac282e14",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_indices = get_number_of_total_indices(indices_for_split[\"train\"])\n",
    "dev_indices = get_number_of_total_indices(indices_for_split[\"dev\"])\n",
    "test_indices = get_number_of_total_indices(indices_for_split[\"test\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fb22489b-07d2-4403-a30c-6d92f00d252e",
   "metadata": {},
   "outputs": [],
   "source": [
    "assert len(corpus.train) == train_indices\n",
    "assert len(corpus.dev) == dev_indices\n",
    "assert len(corpus.test) == test_indices"
   ]
  }
 ],
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   "language": "python",
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   "file_extension": ".py",
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