From f98da1fd2800c5e3259cad11a463102c3552162d Mon Sep 17 00:00:00 2001 From: matsuo1234567 <122419523+matsuo1234567@users.noreply.github.com> Date: Wed, 28 Aug 2024 01:41:01 +0900 Subject: [PATCH] Fix spell mistakes --- medical/molecular_search/2_deep_dive_molecular_search.ipynb | 6 +++--- .../1_build_question_answering_engine.ipynb | 4 ++-- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/medical/molecular_search/2_deep_dive_molecular_search.ipynb b/medical/molecular_search/2_deep_dive_molecular_search.ipynb index 4078c4a..81b9a65 100644 --- a/medical/molecular_search/2_deep_dive_molecular_search.ipynb +++ b/medical/molecular_search/2_deep_dive_molecular_search.ipynb @@ -158,9 +158,9 @@ " utility.drop_collection(collection_name)\n", " \n", " fields = [\n", - " FieldSchema(name='id', dtype=DataType.INT64, descrition='ids', is_primary=True, auto_id=False),\n", - " FieldSchema(name='smiles', dtype=DataType.VARCHAR, descrition='SMILES', max_length=500),\n", - " FieldSchema(name='embedding', dtype=DataType.BINARY_VECTOR, descrition='embedding vectors', dim=dim)\n", + " FieldSchema(name='id', dtype=DataType.INT64, description='ids', is_primary=True, auto_id=False),\n", + " FieldSchema(name='smiles', dtype=DataType.VARCHAR, description='SMILES', max_length=500),\n", + " FieldSchema(name='embedding', dtype=DataType.BINARY_VECTOR, description='embedding vectors', dim=dim)\n", " ]\n", " schema = CollectionSchema(fields=fields, description='molecular similarity search')\n", " collection = Collection(name=collection_name, schema=schema)\n", diff --git a/nlp/question_answering/1_build_question_answering_engine.ipynb b/nlp/question_answering/1_build_question_answering_engine.ipynb index c00d4c6..9ec7292 100644 --- a/nlp/question_answering/1_build_question_answering_engine.ipynb +++ b/nlp/question_answering/1_build_question_answering_engine.ipynb @@ -274,8 +274,8 @@ " utility.drop_collection(collection_name)\n", " \n", " fields = [\n", - " FieldSchema(name='id', dtype=DataType.VARCHAR, descrition='ids', max_length=500, is_primary=True, auto_id=False),\n", - " FieldSchema(name='embedding', dtype=DataType.FLOAT_VECTOR, descrition='embedding vectors', dim=dim)\n", + " FieldSchema(name='id', dtype=DataType.VARCHAR, description='ids', max_length=500, is_primary=True, auto_id=False),\n", + " FieldSchema(name='embedding', dtype=DataType.FLOAT_VECTOR, description='embedding vectors', dim=dim)\n", " ]\n", " schema = CollectionSchema(fields=fields, description='reverse image search')\n", " collection = Collection(name=collection_name, schema=schema)\n",