diff --git "a/make_qa_for_evaluation.ipynb" "b/make_qa_for_evaluation.ipynb"
--- "a/make_qa_for_evaluation.ipynb"
+++ "b/make_qa_for_evaluation.ipynb"
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
@@ -89,7 +89,7 @@
"4 {'last_modified_datetime': 2024-07-11 23:32:01... "
]
},
- "execution_count": 1,
+ "execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
@@ -103,13 +103,14 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"prompt = \"\"\"다음은 법률 판례에 관한 내용입니다.\n",
"내용을 보고 법률 관련 질문을 만드세요.\n",
"반드시 주어진 판례와 관련한 질문이어야 합니다.\n",
+ "질문 형식는 질문자가 실제 사례를 설명하고 비슷한 판례를 찾아달라는 질문입니다.\n",
"만약 주어진 내용이 법률 판례와 관련되지 않았다면,\n",
"'법률 판례와 관련 없습니다.'라고 질문을 만드세요.\n",
"\n",
@@ -119,8 +120,8 @@
"생성할 질문 개수: {{num_questions}}\n",
"\n",
"예시:\n",
- "[Q]: 이 판례에서 다루는 주요 법적 쟁점은 무엇인가요?\n",
- "[A]: 이 판례는 [구체적인 법적 쟁점]을 다루고 있습니다.\n",
+ "[Q]: 중고차 거래를 했는데 불량으로 차 수리에 500만원이 들었습니다. 판매자에게 법적 책임을 물을 수 있나요? 비슷한 판례를 소개해주세요.\n",
+ "[A]: 자동차 사기와 관련된 최근 판례를 세 가지 소개해드리겠습니다. \n",
"\n",
"법률 판례와 관련이 없는 내용일 경우 예시:\n",
"[Q]: 법률 판례와 관련 없습니다.\n",
@@ -132,7 +133,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
@@ -141,199 +142,30 @@
"\n",
"load_dotenv()\n",
"\n",
- "llm = Upstage(temperature=1.0, max_retries=20)"
+ "llm = Upstage(temperature=1.0, max_retries=100)"
]
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
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- "/Users/anpigon/Library/Caches/pypoetry/virtualenvs/law-bot-C3zMZhS7-py3.11/lib/python3.11/site-packages/pydantic/_internal/_fields.py:160: UserWarning: Field \"model_id\" has conflict with protected namespace \"model_\".\n",
- "\n",
- "You may be able to resolve this warning by setting `model_config['protected_namespaces'] = ()`.\n",
- " warnings.warn(\n",
"0it [00:00, ?it/s]"
]
},
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@@ -764,1297 +536,79 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "1it [00:40, 40.12s/it]"
+ "1it [00:35, 35.05s/it]\n"
]
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- {
- "data": {
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- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
+ }
+ ],
+ "source": [
+ "import nest_asyncio\n",
+ "from autorag.data.qacreation import generate_qa_llama_index, make_single_content_qa\n",
+ "\n",
+ "nest_asyncio.apply()\n",
+ "\n",
+ "qa_df = make_single_content_qa(\n",
+ " corpus_df,\n",
+ " content_size=20,\n",
+ " qa_creation_func=generate_qa_llama_index,\n",
+ " llm=llm,\n",
+ " prompt=prompt,\n",
+ " question_num_per_content=1,\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "qa_df = qa_df.loc[~qa_df[\"query\"].str.contains(\"법률 판례와 관련 없습니다.\")]\n",
+ "qa_df.reset_index(drop=True, inplace=True)\n",
+ "qa_df.to_parquet(\"evaluation_data/qa.parquet\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "qa_df.to_excel(\"evaluation_data/qa.xlsx\", index=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
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- "name": "stderr",
+ "name": "stdout",
"output_type": "stream",
"text": [
- "4it [01:38, 24.52s/it]\n"
+ "\n",
+ "RangeIndex: 20 entries, 0 to 19\n",
+ "Data columns (total 4 columns):\n",
+ " # Column Non-Null Count Dtype \n",
+ "--- ------ -------------- ----- \n",
+ " 0 retrieval_gt 20 non-null object\n",
+ " 1 qid 20 non-null object\n",
+ " 2 query 20 non-null object\n",
+ " 3 generation_gt 20 non-null object\n",
+ "dtypes: object(4)\n",
+ "memory usage: 772.0+ bytes\n"
]
}
],
"source": [
- "import nest_asyncio\n",
- "from autorag.data.qacreation import generate_qa_llama_index, make_single_content_qa\n",
- "\n",
- "nest_asyncio.apply()\n",
- "\n",
- "qa_df = make_single_content_qa(\n",
- " corpus_df,\n",
- " content_size=100,\n",
- " qa_creation_func=generate_qa_llama_index,\n",
- " llm=llm,\n",
- " prompt=prompt,\n",
- " question_num_per_content=1,\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [],
- "source": [
- "# delete if the output question is '뉴진스와 관련 없습니다'\n",
- "qa_df = qa_df.loc[~qa_df[\"query\"].str.contains(\"법률 판례와 관련 없습니다.\")]\n",
- "qa_df.reset_index(drop=True, inplace=True)\n",
- "qa_df.to_parquet(\"evaluation_data/qa.parquet\")"
+ "qa_df.info()"
]
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": null,
"metadata": {},
"outputs": [],
- "source": [
- "qa_df.to_excel(\"evaluation_data/qa.xlsx\", index=False)"
- ]
+ "source": []
}
],
"metadata": {