81 lines
3.3 KiB
Plaintext
81 lines
3.3 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "66cbbaf8",
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"metadata": {},
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"source": [
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"# Libraries"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "230aae25",
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"metadata": {},
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"outputs": [
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{
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"ename": "ModuleNotFoundError",
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"evalue": "No module named 'beir'",
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"output_type": "error",
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"traceback": [
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"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
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"\u001b[31mModuleNotFoundError\u001b[39m Traceback (most recent call last)",
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"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[2]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mbeir\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mdatasets\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mdata_loader\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m GenericDataLoader\n\u001b[32m 2\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mbeir\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mretrieval\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01msearch\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mdense\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m DenseRetrievalExactSearch\n\u001b[32m 3\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mbeir\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mretrieval\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mevaluation\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m EvaluateRetrieval\n",
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"\u001b[31mModuleNotFoundError\u001b[39m: No module named 'beir'"
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]
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}
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],
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"source": [
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"from beir.datasets.data_loader import GenericDataLoader\n",
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"from beir.retrieval.search.dense import DenseRetrievalExactSearch\n",
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"from beir.retrieval.evaluation import EvaluateRetrieval\n",
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"\n",
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"DATA_PATH = \"path/to/beir_dataset\"\n",
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"\n",
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"corpus, queries, qrels = GenericDataLoader(DATA_PATH).load(split=\"test\")\n",
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"\n",
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"model = BEIROllamaEmbeddings(\n",
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" base_url=\"http://localhost:11434\",\n",
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" model=\"nomic-embed-text\",\n",
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" batch_size=64,\n",
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")\n",
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"\n",
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"retriever = DenseRetrievalExactSearch(model, batch_size=64)\n",
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"evaluator = EvaluateRetrieval(retriever, score_function=\"cos_sim\")\n",
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"\n",
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"results = evaluator.retrieve(corpus, queries)\n",
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"ndcg, _map, recall, precision = evaluator.evaluate(\n",
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" qrels, results, [1, 3, 5, 10, 100]\n",
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")\n",
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"\n",
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"print(\"NDCG:\", ndcg)\n",
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"print(\"MAP:\", _map)\n",
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"print(\"Recall:\", recall)\n",
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"print(\"Precision:\", precision)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "assistance-engine",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.11"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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