From 73c194f304f827b55081b15524479f82a1b7d94c Mon Sep 17 00:00:00 2001 From: maszhongming Date: Tue, 16 Sep 2025 15:15:29 -0500 Subject: Initial commit --- notebooks/disease_retrieval_accuracy.ipynb | 153 +++++++++++++++++++++++++++++ 1 file changed, 153 insertions(+) create mode 100644 notebooks/disease_retrieval_accuracy.ipynb (limited to 'notebooks/disease_retrieval_accuracy.ipynb') diff --git a/notebooks/disease_retrieval_accuracy.ipynb b/notebooks/disease_retrieval_accuracy.ipynb new file mode 100644 index 0000000..ccb207b --- /dev/null +++ b/notebooks/disease_retrieval_accuracy.ipynb @@ -0,0 +1,153 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "945c420e-bb44-4ffb-b899-e049caf0d918", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "os.chdir('..')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f2bdefb3-3e59-409a-81b4-2e9ffbdfdb1a", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/root/anaconda3/envs/kg_rag_test_2/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from kg_rag.utility import *\n", + "from tqdm import tqdm\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "19fc98b9-64a8-40c0-9e5a-92b4392e6969", + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.read_csv('data/dataset_for_entity_retrieval_accuracy_analysis.csv')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "2851be4c-2a76-4f6d-b5f4-118e8122b155", + "metadata": {}, + "outputs": [], + "source": [ + "VECTOR_DB_PATH = config_data[\"VECTOR_DB_PATH\"]\n", + "SENTENCE_EMBEDDING_MODEL_FOR_NODE_RETRIEVAL = config_data[\"SENTENCE_EMBEDDING_MODEL_FOR_NODE_RETRIEVAL\"]\n", + "\n", + "vectorstore = load_chroma(VECTOR_DB_PATH, SENTENCE_EMBEDDING_MODEL_FOR_NODE_RETRIEVAL)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "7255fbab-d8b4-43a3-b870-9d67ad79d061", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "322it [00:05, 56.20it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 4.74 s, sys: 896 ms, total: 5.64 s\n", + "Wall time: 5.73 s\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "correct_retrieval = 0\n", + "\n", + "for index, row in tqdm(data.iterrows()):\n", + " question = row['text']\n", + " entities = disease_entity_extractor_v2(question) \n", + " for entity in entities:\n", + " node_search_result = vectorstore.similarity_search_with_score(entity, k=1)\n", + " if node_search_result[0][0].page_content == row['node_hits']:\n", + " correct_retrieval += 1 \n", + " break\n", + " \n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "2f997335-bff7-431c-bbd8-608513eddcc7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Retrieval accuracy is 99.7%\n" + ] + } + ], + "source": [ + "retrieval_accuracy = 100*correct_retrieval/data.shape[0]\n", + "print(f'Retrieval accuracy is {round(retrieval_accuracy,1)}%')\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "afe971ab-b8b9-4c88-9657-c588813b412f", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.10.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} -- cgit v1.2.3