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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import pprint\n",
"import random"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from llmdataparser import ParserRegistry\n",
"ParserRegistry.list_parsers()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"mmlu_parser = ParserRegistry.get_parser('mmlu')\n",
"mmlu_parser.load()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"mmlu_parser.parse(split_names=['dev', 'test'])\n",
"parsed_data = mmlu_parser.get_parsed_data"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"index = random.randint(0, len(parsed_data))\n",
"print(f\"Question: \\n-------------------\\n {parsed_data[index].prompt}\")\n",
"print(\"-------------------\")\n",
"print(f\"Answer: \\n-------------------\\n{parsed_data[index].answer_letter}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "llmdata",
"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": "3.12.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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