{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "04b44586",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25f887a9",
   "metadata": {},
   "source": [
    "The `eswiktionary.csv` file used below is the one generated by [elcapo/eswiktionary_parser](https://github.com/elcapo/eswiktionary_parser) and its structure is described [here](https://github.com/elcapo/eswiktionary_parser/releases/tag/v0.1.0)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0266d64a",
   "metadata": {},
   "outputs": [],
   "source": [
    "definitions = pd.read_csv(\"eswiktionary.csv\", names=[\"word\", \"classification\", \"definition\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "28ade220",
   "metadata": {},
   "outputs": [],
   "source": [
    "definitions = definitions.to_dict(orient = \"records\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "df0fd351",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0fff6e5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"train.jsonl\", \"w\") as file:\n",
    "    for definition in definitions:\n",
    "        file.write(json.dumps(definition) + \"\\n\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
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 "nbformat": 4,
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