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Update Tutorial 4

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This commit is contained in:
Malte Pietsch 2020-07-17 19:31:00 +02:00
parent 355be293b6
commit 5b1be233d0
2 changed files with 2 additions and 0 deletions
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tutorials/Tutorial4_FAQ_style_QA.ipynb
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@ -186,6 +186,7 @@
"# Get embeddings for our questions from the FAQs\n", "# Get embeddings for our questions from the FAQs\n",
"questions = list(df[\"question\"].values)\n", "questions = list(df[\"question\"].values)\n",
"df[\"question_emb\"] = retriever.embed_queries(texts=questions)\n", "df[\"question_emb\"] = retriever.embed_queries(texts=questions)\n",
"df[\"question_emb\"] = df[\"question_emb\"].apply(list) # convert from numpy to list for ES indexing\n",
"\n", "\n",
"# Convert Dataframe to list of dicts and index them in our DocumentStore\n", "# Convert Dataframe to list of dicts and index them in our DocumentStore\n",
"docs_to_index = df.to_dict(orient=\"records\")\n", "docs_to_index = df.to_dict(orient=\"records\")\n",

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tutorials/Tutorial4_FAQ_style_QA.py
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@ -68,6 +68,7 @@ print(df.head())
# Get embeddings for our questions from the FAQs # Get embeddings for our questions from the FAQs
questions = list(df["question"].values) questions = list(df["question"].values)
df["question_emb"] = retriever.embed_queries(texts=questions) df["question_emb"] = retriever.embed_queries(texts=questions)
df["question_emb"] = df["question_emb"].apply(list) # convert from numpy to list for ES indexing
# Convert Dataframe to list of dicts and index them in our DocumentStore # Convert Dataframe to list of dicts and index them in our DocumentStore
docs_to_index = df.to_dict(orient="records") docs_to_index = df.to_dict(orient="records")