diff --git a/notebooks/Langchain_Full.ipynb b/notebooks/Langchain_Full.ipynb
index bd3f726..6b0c773 100644
--- a/notebooks/Langchain_Full.ipynb
+++ b/notebooks/Langchain_Full.ipynb
@@ -1952,11 +1952,11 @@
"# 2. Create the OpenAI File\n",
"\n",
"import os\n",
- "from openai import OpenAI\n",
+ "import openai\n",
"\n",
"openai.api_key = os.getenv(\"OPENAI_API_KEY\")\n",
"\n",
- "client = OpenAI()\n",
+ "client = openai.OpenAI()\n",
"\n",
"openai_file = client.files.create(\n",
" file=open(\"aql.jsonl\", \"rb\"),\n",
diff --git a/notebooks/example_output/Langchain_Full_output.ipynb b/notebooks/example_output/Langchain_Full_output.ipynb
index 96f5417..666ac4c 100644
--- a/notebooks/example_output/Langchain_Full_output.ipynb
+++ b/notebooks/example_output/Langchain_Full_output.ipynb
@@ -130,16 +130,16 @@
"execution_count": 4,
"id": "7",
"metadata": {
- "id": "7",
- "outputId": "f7b19af5-2dee-4e65-f034-11adbf2d6b0e",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "7",
+ "outputId": "f7b19af5-2dee-4e65-f034-11adbf2d6b0e"
},
"outputs": [
{
- "output_type": "stream",
"name": "stderr",
+ "output_type": "stream",
"text": [
"/usr/local/lib/python3.10/dist-packages/langchain_core/_api/deprecation.py:117: LangChainDeprecationWarning: The class `langchain_community.llms.openai.OpenAI` was deprecated in langchain-community 0.0.10 and will be removed in 0.2.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import OpenAI`.\n",
" warn_deprecated(\n",
@@ -148,8 +148,8 @@
]
},
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -172,16 +172,16 @@
"execution_count": 5,
"id": "8",
"metadata": {
- "id": "8",
- "outputId": "e1cc54aa-7883-4b04-9f89-80dfb62f1255",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "8",
+ "outputId": "e1cc54aa-7883-4b04-9f89-80dfb62f1255"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"ArangoDB is like a big box of toys that can store lots of different things, like your toys, your books, and your snacks. But it's not just a box, it's also a magic box that can help you find and organize your toys and books whenever you want. And the best part is, you can share your toys and books with your friends and they can share theirs with you too!\n"
@@ -208,16 +208,16 @@
"execution_count": 6,
"id": "9",
"metadata": {
- "id": "9",
- "outputId": "0a7d96b9-404f-407b-dc85-bb8e04ac612f",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "9",
+ "outputId": "0a7d96b9-404f-407b-dc85-bb8e04ac612f"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"{'question': 'What is ArangoDB?', 'text': \"\\nArangoDB is like a big box of toys that can store lots of different things, like your toys, your books, and your snacks. But it's not just a box, it's also a magic box that can help you find and organize your toys and books whenever you want. And the best part is, you can share your toys and books with your friends and they can share theirs with you too!\"}\n"
]
@@ -240,17 +240,17 @@
"execution_count": 7,
"id": "10",
"metadata": {
- "id": "10",
- "outputId": "04821297-f23b-4482-c50e-2836302828e3",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 469
- }
+ },
+ "id": "10",
+ "outputId": "04821297-f23b-4482-c50e-2836302828e3"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -280,17 +280,17 @@
]
},
{
- "output_type": "execute_result",
"data": {
- "text/plain": [
- "' No problem! ArangoDB was first released in 2012, making it about 9 years old. It was created by the company ArangoDB GmbH and is currently on version 3.7.11.'"
- ],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
- }
+ },
+ "text/plain": [
+ "' No problem! ArangoDB was first released in 2012, making it about 9 years old. It was created by the company ArangoDB GmbH and is currently on version 3.7.11.'"
+ ]
},
+ "execution_count": 7,
"metadata": {},
- "execution_count": 7
+ "output_type": "execute_result"
}
],
"source": [
@@ -311,24 +311,24 @@
"execution_count": 8,
"id": "11",
"metadata": {
- "id": "11",
- "outputId": "384f9c8a-1c27-49cb-99dd-a16b30913a95",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "11",
+ "outputId": "384f9c8a-1c27-49cb-99dd-a16b30913a95"
},
"outputs": [
{
- "output_type": "stream",
"name": "stderr",
+ "output_type": "stream",
"text": [
"/usr/local/lib/python3.10/dist-packages/langchain_core/_api/deprecation.py:117: LangChainDeprecationWarning: The function `initialize_agent` was deprecated in LangChain 0.1.0 and will be removed in 0.2.0. Use Use new agent constructor methods like create_react_agent, create_json_agent, create_structured_chat_agent, etc. instead.\n",
" warn_deprecated(\n"
]
},
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -359,14 +359,14 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'input': 'How old is ArangoDB?', 'output': 'ArangoDB is 9 years old.'}"
]
},
+ "execution_count": 8,
"metadata": {},
- "execution_count": 8
+ "output_type": "execute_result"
}
],
"source": [
@@ -390,22 +390,22 @@
"execution_count": 9,
"id": "12",
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- "id": "12",
- "outputId": "5088fb20-f90b-480d-8381-1c8768a4e121",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "12",
+ "outputId": "5088fb20-f90b-480d-8381-1c8768a4e121"
},
"outputs": [
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"1"
]
},
+ "execution_count": 9,
"metadata": {},
- "execution_count": 9
+ "output_type": "execute_result"
}
],
"source": [
@@ -435,22 +435,22 @@
"execution_count": 10,
"id": "13",
"metadata": {
- "id": "13",
- "outputId": "bcb2cf26-05ef-4163-9a8d-7373a6b36cdb",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "13",
+ "outputId": "bcb2cf26-05ef-4163-9a8d-7373a6b36cdb"
},
"outputs": [
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"42"
]
},
+ "execution_count": 10,
"metadata": {},
- "execution_count": 10
+ "output_type": "execute_result"
}
],
"source": [
@@ -474,30 +474,30 @@
"execution_count": 11,
"id": "14",
"metadata": {
- "id": "14",
- "outputId": "79c50cd0-fc85-4e9f-89bd-a1bf5d7c40a0",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "14",
+ "outputId": "79c50cd0-fc85-4e9f-89bd-a1bf5d7c40a0"
},
"outputs": [
{
- "output_type": "stream",
"name": "stderr",
+ "output_type": "stream",
"text": [
"/usr/local/lib/python3.10/dist-packages/langchain_core/_api/deprecation.py:117: LangChainDeprecationWarning: The class `langchain_community.embeddings.openai.OpenAIEmbeddings` was deprecated in langchain-community 0.0.9 and will be removed in 0.2.0. An updated version of the class exists in the langchain-openai package and should be used instead. To use it run `pip install -U langchain-openai` and import as `from langchain_openai import OpenAIEmbeddings`.\n",
" warn_deprecated(\n"
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"<langchain_community.vectorstores.chroma.Chroma at 0x7be7a4f4ae90>"
]
},
+ "execution_count": 11,
"metadata": {},
- "execution_count": 11
+ "output_type": "execute_result"
}
],
"source": [
@@ -523,16 +523,16 @@
"execution_count": 12,
"id": "15",
"metadata": {
- "id": "15",
- "outputId": "ceddb232-4021-4a4b-95fe-5056955434cf",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "15",
+ "outputId": "ceddb232-4021-4a4b-95fe-5056955434cf"
},
"outputs": [
{
- "output_type": "stream",
"name": "stderr",
+ "output_type": "stream",
"text": [
"/usr/local/lib/python3.10/dist-packages/langchain/chains/retrieval_qa/base.py:256: UserWarning: `VectorDBQA` is deprecated - please use `from langchain.chains import RetrievalQA`\n",
" warnings.warn(\n"
@@ -551,16 +551,16 @@
"execution_count": 13,
"id": "16",
"metadata": {
- "id": "16",
- "outputId": "cb6e4cb9-de28-4663-b934-52d00ad40831",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "16",
+ "outputId": "cb6e4cb9-de28-4663-b934-52d00ad40831"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"{'query': \"TL;DR the president's message for me\", 'result': \" The president's message is that the State of the Union is strong because the American people are strong. We have overcome challenges and will continue to do so as one united nation. The president highlights the bravery and determination of the Ukrainian people and the strength of our democracy. He also mentions his optimism for the future of America and the need for unity to address issues such as the opioid epidemic and the protection of LGBTQ+ rights.\"}\n",
"----------------------------------------------------------------------------------------------------\n",
@@ -655,16 +655,16 @@
"execution_count": 16,
"id": "22",
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- "outputId": "391495cc-8e35-4f64-fe57-51531158091d",
"colab": {
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- }
+ },
+ "id": "22",
+ "outputId": "391495cc-8e35-4f64-fe57-51531158091d"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"Log: requesting new credentials...\n",
"Succcess: new credentials acquired\n",
@@ -694,22 +694,22 @@
"execution_count": 17,
"id": "23",
"metadata": {
- "id": "23",
- "outputId": "c36637e8-d06e-4921-ca0f-be181df7fefa",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "23",
+ "outputId": "c36637e8-d06e-4921-ca0f-be181df7fefa"
},
"outputs": [
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"<StandardDatabase TUT0ftdwtjk1k8r6ylosouevgm>"
]
},
+ "execution_count": 17,
"metadata": {},
- "execution_count": 17
+ "output_type": "execute_result"
}
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@@ -764,8 +764,6 @@
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@@ -781,200 +779,202 @@
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]
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{
- "output_type": "display_data",
"data": {
- "text/plain": [
- "Output()"
- ],
"application/vnd.jupyter.widget-view+json": {
+ "model_id": "70ee96c8ef3c45aa98219904eb3b9fe3",
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]
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- "id": "39",
- "outputId": "64bea922-404c-4372-a941-8d321d16e837",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "39",
+ "outputId": "64bea922-404c-4372-a941-8d321d16e837"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3139,15 +3139,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Who are Bran Stark’s grandparents?',\n",
" 'result': \"Bran Stark's grandparents are Lyarra Stark and Rickard Stark.\"}"
]
},
+ "execution_count": 25,
"metadata": {},
- "execution_count": 25
+ "output_type": "execute_result"
}
],
"source": [
@@ -3159,16 +3159,16 @@
"execution_count": 26,
"id": "40",
"metadata": {
- "id": "40",
- "outputId": "2e7bea00-1b20-4c12-b36c-fe901e5d4a48",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "40",
+ "outputId": "2e7bea00-1b20-4c12-b36c-fe901e5d4a48"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3186,15 +3186,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Fetch me the character count for each family',\n",
" 'result': 'The count of characters for each family in the database is as follows: There is 1 character from the Baratheon family, 4 characters from the Lannister family, and 8 characters from the Stark family.'}"
]
},
+ "execution_count": 26,
"metadata": {},
- "execution_count": 26
+ "output_type": "execute_result"
}
],
"source": [
@@ -3206,16 +3206,16 @@
"execution_count": 27,
"id": "41",
"metadata": {
- "id": "41",
- "outputId": "ccf60d29-9642-423e-caf2-6d4413ea8042",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "41",
+ "outputId": "ccf60d29-9642-423e-caf2-6d4413ea8042"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3235,15 +3235,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'What is the age difference between Rickard Stark and Arya Stark?',\n",
" 'result': 'The age difference between Rickard Stark and Arya Stark is 49 years.'}"
]
},
+ "execution_count": 27,
"metadata": {},
- "execution_count": 27
+ "output_type": "execute_result"
}
],
"source": [
@@ -3255,16 +3255,16 @@
"execution_count": 28,
"id": "42",
"metadata": {
- "id": "42",
- "outputId": "d5459311-3406-4933-b8da-e87822d3d7fd",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "42",
+ "outputId": "d5459311-3406-4933-b8da-e87822d3d7fd"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3282,15 +3282,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Wie alt ist Rickard Stark?',\n",
" 'result': 'Rickard Stark was 60 years old.'}"
]
},
+ "execution_count": 28,
"metadata": {},
- "execution_count": 28
+ "output_type": "execute_result"
}
],
"source": [
@@ -3302,16 +3302,16 @@
"execution_count": 95,
"id": "43",
"metadata": {
- "id": "43",
- "outputId": "2b87b1b7-9a12-445b-f14a-9c6b941b1a0e",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "43",
+ "outputId": "2b87b1b7-9a12-445b-f14a-9c6b941b1a0e"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3331,7 +3331,6 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Fetch me the average age of all Stark characters',\n",
@@ -3340,8 +3339,9 @@
" 'aql_result': [31.375]}"
]
},
+ "execution_count": 95,
"metadata": {},
- "execution_count": 95
+ "output_type": "execute_result"
}
],
"source": [
@@ -3353,16 +3353,16 @@
"execution_count": 30,
"id": "44",
"metadata": {
- "id": "44",
- "outputId": "08f7e236-a9e3-4a0d-ddf8-38f648a4a66d",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "44",
+ "outputId": "08f7e236-a9e3-4a0d-ddf8-38f648a4a66d"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3380,15 +3380,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Does Bran Stark have a dead parent?',\n",
" 'result': 'Yes, Bran Stark has a dead parent. His mother, Catelyn Stark, is deceased.'}"
]
},
+ "execution_count": 30,
"metadata": {},
- "execution_count": 30
+ "output_type": "execute_result"
}
],
"source": [
@@ -3400,16 +3400,16 @@
"execution_count": 31,
"id": "45",
"metadata": {
- "id": "45",
- "outputId": "2c1339cb-6d48-4bd1-bd9b-18e9d8343cf1",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "45",
+ "outputId": "2c1339cb-6d48-4bd1-bd9b-18e9d8343cf1"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3425,15 +3425,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Add Jon Snow, 31, a male character. Use overwrite.',\n",
" 'result': 'The character Jon Snow, a 31-year-old male, has been successfully added to the database. If there was a previous entry for Jon Snow, it has been overwritten with the new information.'}"
]
},
+ "execution_count": 31,
"metadata": {},
- "execution_count": 31
+ "output_type": "execute_result"
}
],
"source": [
@@ -3445,16 +3445,16 @@
"execution_count": 32,
"id": "46",
"metadata": {
- "id": "46",
- "outputId": "89f725c1-1728-4d6f-c2b2-baf760638b0b",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "46",
+ "outputId": "89f725c1-1728-4d6f-c2b2-baf760638b0b"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3473,15 +3473,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Create a ChildOf edge from Jon Snow to Ned Stark.',\n",
" 'result': 'A relationship has been established in the database indicating that Jon Snow is a child of Ned Stark.'}"
]
},
+ "execution_count": 32,
"metadata": {},
- "execution_count": 32
+ "output_type": "execute_result"
}
],
"source": [
@@ -3493,16 +3493,16 @@
"execution_count": 33,
"id": "47",
"metadata": {
- "id": "47",
- "outputId": "0b404dc7-98b9-4308-9263-7f130e7aef90",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "47",
+ "outputId": "0b404dc7-98b9-4308-9263-7f130e7aef90"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3519,15 +3519,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Who is related to Ned Stark?',\n",
" 'result': \"Ned Stark is related to several characters. His children are Jon Snow, Arya Stark, Sansa Stark, Robb Stark, and Bran Stark. Jon Snow is 31 years old and is alive. Arya Stark is 11 years old and is also alive. Sansa Stark is 13 years old and is alive. Robb Stark was 16 years old but is now deceased. Bran Stark is 10 years old and is alive. Ned Stark's parents are Lyarra Stark and Rickard Stark. Lyarra Stark was 60 years old but is now deceased. Rickard Stark was also 60 years old but is now deceased.\"}"
]
},
+ "execution_count": 33,
"metadata": {},
- "execution_count": 33
+ "output_type": "execute_result"
}
],
"source": [
@@ -3539,16 +3539,16 @@
"execution_count": 34,
"id": "48",
"metadata": {
- "id": "48",
- "outputId": "f68f7210-d0de-4521-e9ed-efb8c77a27aa",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "48",
+ "outputId": "f68f7210-d0de-4521-e9ed-efb8c77a27aa"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3565,15 +3565,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'What can you tell me about the characters?',\n",
" 'result': 'The database contains information about several characters. Here are some of them:\\n\\n1. Rickard Stark: He is a male character who is not alive. He was 60 years old.\\n2. Lyarra Stark: She is a female character who is not alive. She was 60 years old.\\n3. Ned Stark: He is a male character who is alive. He is 41 years old.\\n4. Catelyn Stark: She is a female character who is not alive. She was 40 years old.\\n5. Arya Stark: She is a female character who is alive. She is 11 years old.\\n6. Bran Stark: He is a male character who is alive. He is 10 years old.\\n7. Robb Stark: He is a male character who is not alive. He was 16 years old.\\n8. Sansa Stark: She is a female character who is alive. She is 13 years old.\\n9. Tywin Lannister: He is a male character who is not alive. He was 67 years old.\\n10. Jaime Lannister: He is a male character who is alive. He is 36 years old.'}"
]
},
+ "execution_count": 34,
"metadata": {},
- "execution_count": 34
+ "output_type": "execute_result"
}
],
"source": [
@@ -3585,16 +3585,16 @@
"execution_count": 35,
"id": "49",
"metadata": {
- "id": "49",
- "outputId": "6905eb13-c5e9-4534-c595-599beeb0a6a1",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "49",
+ "outputId": "6905eb13-c5e9-4534-c595-599beeb0a6a1"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3611,15 +3611,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Use the shortest path algorithm to go from Bran Stark to Rickard Stark',\n",
" 'result': 'The shortest path from Bran Stark to Rickard Stark in the Game of Thrones graph goes through Ned Stark. Bran Stark, who is alive and 10 years old, is the son of Ned Stark, who is also alive and 41 years old. Ned Stark is the son of Rickard Stark, who is not alive and was 60 years old.'}"
]
},
+ "execution_count": 35,
"metadata": {},
- "execution_count": 35
+ "output_type": "execute_result"
}
],
"source": [
@@ -3631,16 +3631,16 @@
"execution_count": 36,
"id": "50",
"metadata": {
- "id": "50",
- "outputId": "1372b2d7-03a1-4b69-c401-6be33b24bb6b",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "50",
+ "outputId": "1372b2d7-03a1-4b69-c401-6be33b24bb6b"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3657,15 +3657,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'What is the family tree of Joffrey Baratheon?',\n",
" 'result': \"Joffrey Baratheon's family tree includes his parents Jaime Lannister and Cersei Lannister. Jaime Lannister is alive and 36 years old. Cersei Lannister is also alive and 36 years old. His grandfather, Tywin Lannister, appears twice in the family tree. Tywin Lannister is not alive and was 67 years old.\"}"
]
},
+ "execution_count": 36,
"metadata": {},
- "execution_count": 36
+ "output_type": "execute_result"
}
],
"source": [
@@ -3677,16 +3677,16 @@
"execution_count": 92,
"id": "51",
"metadata": {
- "id": "51",
- "outputId": "667d1fb7-e2e8-438a-bbe4-766985126326",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "51",
+ "outputId": "667d1fb7-e2e8-438a-bbe4-766985126326"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3704,7 +3704,6 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Is there a relationship between Bran Stark and Rickard Stark?',\n",
@@ -3717,8 +3716,9 @@
" '_rev': '_hg5hliC--G'}]}"
]
},
+ "execution_count": 92,
"metadata": {},
- "execution_count": 92
+ "output_type": "execute_result"
}
],
"source": [
@@ -3730,16 +3730,16 @@
"execution_count": 38,
"id": "52",
"metadata": {
- "id": "52",
- "outputId": "0220a5e0-c26d-467d-ccd3-e70897cd2d06",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "52",
+ "outputId": "0220a5e0-c26d-467d-ccd3-e70897cd2d06"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3757,15 +3757,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Are Arya Stark and Ned Stark related?',\n",
" 'result': 'Yes, Arya Stark and Ned Stark are related. Ned Stark, who is alive and 41 years old, is a relative of Arya Stark.'}"
]
},
+ "execution_count": 38,
"metadata": {},
- "execution_count": 38
+ "output_type": "execute_result"
}
],
"source": [
@@ -3777,16 +3777,16 @@
"execution_count": 39,
"id": "53",
"metadata": {
- "id": "53",
- "outputId": "3661b581-4a60-4e30-dcd9-8cfad7307d45",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "53",
+ "outputId": "3661b581-4a60-4e30-dcd9-8cfad7307d45"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3804,14 +3804,14 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Is Ned Stark alive?', 'result': 'Yes, Ned Stark is alive.'}"
]
},
+ "execution_count": 39,
"metadata": {},
- "execution_count": 39
+ "output_type": "execute_result"
}
],
"source": [
@@ -3823,16 +3823,16 @@
"execution_count": 40,
"id": "54",
"metadata": {
- "id": "54",
- "outputId": "883495ee-938e-4c2e-e84f-625a975d25df",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "54",
+ "outputId": "883495ee-938e-4c2e-e84f-625a975d25df"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3848,15 +3848,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Ned Stark has died. Update the data',\n",
" 'result': 'The data has been updated. Ned Stark is now marked as deceased in the database.'}"
]
},
+ "execution_count": 40,
"metadata": {},
- "execution_count": 40
+ "output_type": "execute_result"
}
],
"source": [
@@ -3868,16 +3868,16 @@
"execution_count": 41,
"id": "55",
"metadata": {
- "id": "55",
- "outputId": "24d0c699-1d55-4825-ba82-117230a44e91",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "55",
+ "outputId": "24d0c699-1d55-4825-ba82-117230a44e91"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3895,15 +3895,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'How many characters are alive? How many characters are dead?',\n",
" 'result': 'There are 7 characters who are alive and 7 characters who are dead.'}"
]
},
+ "execution_count": 41,
"metadata": {},
- "execution_count": 41
+ "output_type": "execute_result"
}
],
"source": [
@@ -3915,16 +3915,16 @@
"execution_count": 42,
"id": "56",
"metadata": {
- "id": "56",
- "outputId": "9f519a8d-3dec-4745-9105-80fbc3788d66",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "56",
+ "outputId": "9f519a8d-3dec-4745-9105-80fbc3788d66"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -3943,15 +3943,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Is Arya Stark now an orphan?',\n",
" 'result': 'Yes, Arya Stark is now an orphan. Both of her parents are deceased.'}"
]
},
+ "execution_count": 42,
"metadata": {},
- "execution_count": 42
+ "output_type": "execute_result"
}
],
"source": [
@@ -3987,16 +3987,16 @@
"execution_count": 44,
"id": "59",
"metadata": {
- "id": "59",
- "outputId": "2c397c3e-05f7-4b30-dee0-da9cebcad535",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "59",
+ "outputId": "2c397c3e-05f7-4b30-dee0-da9cebcad535"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4015,15 +4015,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Fetch me 3 events that happened in December 2019',\n",
" 'result': \"Here are 3 events that happened in December 2019:\\n\\n1. On December 1, 2019, UGTA members and workers marched in Algiers against foreign intervention and in favor of the army and the scheduled elections. The size of the protest was in the hundreds. There were no reported fatalities.\\n\\n2. On December 2, 2019, workers protested against the company, Sour El-Ghozlane in Bouira for not distributing salaries in over 4 months. The size of the protest was reported to be 260. There were no reported fatalities.\\n\\n3. On December 2, 2019, citizens protested in Jijel during a presidential candidate's speech against the elections. The size of the protest was not reported. There were no reported fatalities.\"}"
]
},
+ "execution_count": 44,
"metadata": {},
- "execution_count": 44
+ "output_type": "execute_result"
}
],
"source": [
@@ -4035,16 +4035,16 @@
"execution_count": 45,
"id": "60",
"metadata": {
- "id": "60",
- "outputId": "adf95cf4-fc07-446e-bd1b-37f764903299",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "60",
+ "outputId": "adf95cf4-fc07-446e-bd1b-37f764903299"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4069,15 +4069,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': \"Who is responsible for 'Event/ANG3310'?\",\n",
" 'result': \"The event 'ANG3310' involves the actors 'Civilians (Angola)' and 'Unidentified Armed Group (Angola)'.\"}"
]
},
+ "execution_count": 45,
"metadata": {},
- "execution_count": 45
+ "output_type": "execute_result"
}
],
"source": [
@@ -4089,16 +4089,16 @@
"execution_count": 46,
"id": "61",
"metadata": {
- "id": "61",
- "outputId": "53823584-5dfc-44ea-f14e-8b09fe41055a",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "61",
+ "outputId": "53823584-5dfc-44ea-f14e-8b09fe41055a"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4117,15 +4117,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': \"Where did 'Event/ANG3310' take place?\",\n",
" 'result': \"The event with the identifier 'ANG3310' took place in Kilamba Kiaxi.\"}"
]
},
+ "execution_count": 46,
"metadata": {},
- "execution_count": 46
+ "output_type": "execute_result"
}
],
"source": [
@@ -4137,17 +4137,17 @@
"execution_count": 91,
"id": "62",
"metadata": {
- "id": "62",
- "outputId": "435e8a90-6848-4c8e-a9a5-8cb096549e39",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 261
- }
+ },
+ "id": "62",
+ "outputId": "435e8a90-6848-4c8e-a9a5-8cb096549e39"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4165,17 +4165,17 @@
]
},
{
- "output_type": "execute_result",
"data": {
- "text/plain": [
- "\"The event with the identifier 'Event/ANG3310' took place in the country Angola.\""
- ],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
- }
+ },
+ "text/plain": [
+ "\"The event with the identifier 'Event/ANG3310' took place in the country Angola.\""
+ ]
},
+ "execution_count": 91,
"metadata": {},
- "execution_count": 91
+ "output_type": "execute_result"
}
],
"source": [
@@ -4187,16 +4187,16 @@
"execution_count": 89,
"id": "63",
"metadata": {
- "id": "63",
- "outputId": "b1ea48ca-7f07-4be5-90f6-30ed76a36443",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "63",
+ "outputId": "b1ea48ca-7f07-4be5-90f6-30ed76a36443"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4217,7 +4217,6 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': \"What region did 'Event/ANG3310' take place in?\",\n",
@@ -4229,8 +4228,9 @@
" 'name': 'Middle Africa'}]}"
]
},
+ "execution_count": 89,
"metadata": {},
- "execution_count": 89
+ "output_type": "execute_result"
}
],
"source": [
@@ -4242,16 +4242,16 @@
"execution_count": 49,
"id": "64",
"metadata": {
- "id": "64",
- "outputId": "3c52b325-6a45-4a09-e699-e01574956270",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "64",
+ "outputId": "3c52b325-6a45-4a09-e699-e01574956270"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4270,15 +4270,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': \"What is the source of 'Event/ANG3310'?\",\n",
" 'result': \"The source of the event 'ANG3310' is the 'Angola Press Agency', which operates on a national scale.\"}"
]
},
+ "execution_count": 49,
"metadata": {},
- "execution_count": 49
+ "output_type": "execute_result"
}
],
"source": [
@@ -4290,16 +4290,16 @@
"execution_count": 50,
"id": "65",
"metadata": {
- "id": "65",
- "outputId": "787f4387-6bb7-4475-b2e8-241d17259752",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "65",
+ "outputId": "787f4387-6bb7-4475-b2e8-241d17259752"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4319,15 +4319,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': \"What type of event is 'Event/ANG3310' classified as?\",\n",
" 'result': \"The event 'Event/ANG3310' is classified as a 'Strategic developments' type of event.\"}"
]
},
+ "execution_count": 50,
"metadata": {},
- "execution_count": 50
+ "output_type": "execute_result"
}
],
"source": [
@@ -4339,16 +4339,16 @@
"execution_count": 51,
"id": "66",
"metadata": {
- "id": "66",
- "outputId": "5a075904-b257-426e-9648-ed2f1002be16",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "66",
+ "outputId": "5a075904-b257-426e-9648-ed2f1002be16"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4365,15 +4365,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': \"What are the classes associated to 'Strategic developments'?\",\n",
" 'result': \"The classes associated with 'Strategic developments' are 'Agreement', 'Headquarters or base established', 'Non-violent transfer of territory', 'Arrests', and 'Other'.\"}"
]
},
+ "execution_count": 51,
"metadata": {},
- "execution_count": 51
+ "output_type": "execute_result"
}
],
"source": [
@@ -4385,16 +4385,16 @@
"execution_count": 52,
"id": "67",
"metadata": {
- "id": "67",
- "outputId": "e74cd3c9-2e50-4353-f9c1-48d6d1c079ca",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "67",
+ "outputId": "e74cd3c9-2e50-4353-f9c1-48d6d1c079ca"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4417,15 +4417,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Fetch me the Actor with the most associated events. Remember to use INBOUND for eventActor',\n",
" 'result': \"The actor associated with the most events in the database is 'Civilians (Democratic Republic of Congo)'.\"}"
]
},
+ "execution_count": 52,
"metadata": {},
- "execution_count": 52
+ "output_type": "execute_result"
}
],
"source": [
@@ -4437,16 +4437,16 @@
"execution_count": 53,
"id": "68",
"metadata": {
- "id": "68",
- "outputId": "9298ad6d-1f28-41bd-fbfe-cc4ad9e97576",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "68",
+ "outputId": "9298ad6d-1f28-41bd-fbfe-cc4ad9e97576"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4466,15 +4466,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Which 2020 event has the largest number of fatalities?',\n",
" 'result': 'The 2020 event with the largest number of fatalities was a military operation carried out by the Chadian army against Boko Haram (or ISWAP) militants in the Lac Region. This event occurred between March 31 and April 8. The military acknowledged that 52 Chadian soldiers were killed and 196 others were wounded in the operations, claiming to have killed 1000 Boko Haram militants. However, the declared toll is assessed to be exaggerated and therefore revised and coded as 100. This brings the total fatalities to 152.'}"
]
},
+ "execution_count": 53,
"metadata": {},
- "execution_count": 53
+ "output_type": "execute_result"
}
],
"source": [
@@ -4486,16 +4486,16 @@
"execution_count": 54,
"id": "69",
"metadata": {
- "id": "69",
- "outputId": "cf8e4d07-f867-48ae-919c-4da2c35a048a",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "69",
+ "outputId": "cf8e4d07-f867-48ae-919c-4da2c35a048a"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4515,15 +4515,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Return the first 3 countries with the most associated events',\n",
" 'result': 'The first three countries with the most associated events are the Democratic Republic of Congo with 2046 events, Kenya with 1192 events, and Burundi with 1030 events.'}"
]
},
+ "execution_count": 54,
"metadata": {},
- "execution_count": 54
+ "output_type": "execute_result"
}
],
"source": [
@@ -4535,22 +4535,22 @@
"execution_count": 55,
"id": "70",
"metadata": {
- "id": "70",
- "outputId": "ceee8bad-5459-4cce-8ec2-dcd01a402073",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "70",
+ "outputId": "ceee8bad-5459-4cce-8ec2-dcd01a402073"
},
"outputs": [
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"True"
]
},
+ "execution_count": 55,
"metadata": {},
- "execution_count": 55
+ "output_type": "execute_result"
}
],
"source": [
@@ -4585,16 +4585,16 @@
"execution_count": 56,
"id": "71",
"metadata": {
- "id": "71",
- "outputId": "ed08caab-5cdf-4886-f90d-ec921aa5ee4a",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "71",
+ "outputId": "ed08caab-5cdf-4886-f90d-ec921aa5ee4a"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4622,16 +4622,16 @@
"execution_count": 57,
"id": "72",
"metadata": {
- "id": "72",
- "outputId": "45e0bd9d-76ee-4841-ee04-34ed8c6df0cf",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "72",
+ "outputId": "45e0bd9d-76ee-4841-ee04-34ed8c6df0cf"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4666,16 +4666,16 @@
"execution_count": 58,
"id": "73",
"metadata": {
- "id": "73",
- "outputId": "562ccedb-514d-47da-8c63-795e15f6d531",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "73",
+ "outputId": "562ccedb-514d-47da-8c63-795e15f6d531"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4711,22 +4711,22 @@
"execution_count": 59,
"id": "74",
"metadata": {
- "id": "74",
- "outputId": "d34b6c33-be64-4e93-d283-34c31a369080",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "74",
+ "outputId": "d34b6c33-be64-4e93-d283-34c31a369080"
},
"outputs": [
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"True"
]
},
+ "execution_count": 59,
"metadata": {},
- "execution_count": 59
+ "output_type": "execute_result"
}
],
"source": [
@@ -4759,16 +4759,16 @@
"execution_count": 60,
"id": "75",
"metadata": {
- "id": "75",
- "outputId": "1ea16621-5c9b-4692-891c-3d86b9515932",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "75",
+ "outputId": "1ea16621-5c9b-4692-891c-3d86b9515932"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4796,16 +4796,16 @@
"execution_count": 61,
"id": "76",
"metadata": {
- "id": "76",
- "outputId": "c161768b-57d3-46f0-de8b-5706d3b0e452",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "76",
+ "outputId": "c161768b-57d3-46f0-de8b-5706d3b0e452"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4843,16 +4843,16 @@
"execution_count": 62,
"id": "77",
"metadata": {
- "id": "77",
- "outputId": "596da623-5fd3-467c-9459-2f0ce1fa792e",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "77",
+ "outputId": "596da623-5fd3-467c-9459-2f0ce1fa792e"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4922,16 +4922,16 @@
"execution_count": 63,
"id": "81",
"metadata": {
- "id": "81",
- "outputId": "e602ea96-f61f-4290-d8c2-f228b919b951",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "81",
+ "outputId": "e602ea96-f61f-4290-d8c2-f228b919b951"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4948,15 +4948,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Who are the grandchildren of Rickard Stark?',\n",
" 'result': 'Rickard Stark does not have any recorded grandchildren in the database.'}"
]
},
+ "execution_count": 63,
"metadata": {},
- "execution_count": 63
+ "output_type": "execute_result"
}
],
"source": [
@@ -4969,16 +4969,16 @@
"execution_count": 64,
"id": "82",
"metadata": {
- "id": "82",
- "outputId": "c78f2429-e3af-44f6-a619-9529e52050e3",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "82",
+ "outputId": "c78f2429-e3af-44f6-a619-9529e52050e3"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -4995,15 +4995,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Who are the grandchildren of Rickard Stark? Remember to use INBOUND',\n",
" 'result': 'The grandchildren of Rickard Stark are Jon Snow, Arya Stark, Sansa Stark, Robb Stark, and Bran Stark.'}"
]
},
+ "execution_count": 64,
"metadata": {},
- "execution_count": 64
+ "output_type": "execute_result"
}
],
"source": [
@@ -5016,16 +5016,16 @@
"execution_count": 65,
"id": "83",
"metadata": {
- "id": "83",
- "outputId": "1d7f77a4-8482-45d8-8d76-6302e62d9c82",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "83",
+ "outputId": "1d7f77a4-8482-45d8-8d76-6302e62d9c82"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -5042,15 +5042,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Who are the grandchildren of Tywin Lannister?',\n",
" 'result': \"The grandchildren of Tywin Lannister are Joffrey Baratheon. Please note that Joffrey Baratheon is listed twice, indicating that he is a grandchild through both of Tywin's children.\"}"
]
},
+ "execution_count": 65,
"metadata": {},
- "execution_count": 65
+ "output_type": "execute_result"
}
],
"source": [
@@ -5333,16 +5333,16 @@
"execution_count": 72,
"id": "95",
"metadata": {
- "id": "95",
- "outputId": "9442c09e-b209-44ec-a65f-ab030986ff2d",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "95",
+ "outputId": "9442c09e-b209-44ec-a65f-ab030986ff2d"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -5360,15 +5360,15 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'Is Ned Stark alive?',\n",
" 'result': \"Oh, I hate to be the bearer of bad news, but Ned Stark has joined the choir invisible. He is an ex-character. He's shuffled off this mortal coil. In simpler terms, no, Ned Stark is not alive.\"}"
]
},
+ "execution_count": 72,
"metadata": {},
- "execution_count": 72
+ "output_type": "execute_result"
}
],
"source": [
@@ -5471,33 +5471,33 @@
"execution_count": 77,
"id": "99",
"metadata": {
- "id": "99",
- "outputId": "9fe0e40c-a2b3-4439-9ab7-213b65d4c0b3",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "99",
+ "outputId": "9fe0e40c-a2b3-4439-9ab7-213b65d4c0b3"
},
"outputs": [
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"FileObject(id='file-egN1bG3TNxKOMGG3TRpCMxWL', bytes=1455, created_at=1710184143, filename='aql.jsonl', object='file', purpose='fine-tune', status='processed', status_details=None)"
]
},
+ "execution_count": 77,
"metadata": {},
- "execution_count": 77
+ "output_type": "execute_result"
}
],
"source": [
"# 2. Create the OpenAI File\n",
"\n",
"import os\n",
- "from openai import OpenAI\n",
+ "import openai\n",
"\n",
"openai.api_key = os.getenv(\"OPENAI_API_KEY\")\n",
"\n",
- "client = OpenAI()\n",
+ "client = openai.OpenAI()\n",
"\n",
"openai_file = client.files.create(\n",
" file=open(\"aql.jsonl\", \"rb\"),\n",
@@ -5512,22 +5512,22 @@
"execution_count": 81,
"id": "100",
"metadata": {
- "id": "100",
- "outputId": "3db42e8c-b3ea-4ad6-840f-fa3f1be751ac",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "100",
+ "outputId": "3db42e8c-b3ea-4ad6-840f-fa3f1be751ac"
},
"outputs": [
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"FineTuningJob(id='ftjob-DYn1hfmeBmsDkK77zemvL1oS', created_at=1710184183, error=Error(code=None, message=None, param=None, error=None), fine_tuned_model=None, finished_at=None, hyperparameters=Hyperparameters(n_epochs='auto', batch_size='auto', learning_rate_multiplier='auto'), model='gpt-3.5-turbo-0125', object='fine_tuning.job', organization_id='org-qxPkNPWF8DKL1WPIc5huNbv1', result_files=[], status='validating_files', trained_tokens=None, training_file='file-egN1bG3TNxKOMGG3TRpCMxWL', validation_file=None, user_provided_suffix=None)"
]
},
+ "execution_count": 81,
"metadata": {},
- "execution_count": 81
+ "output_type": "execute_result"
}
],
"source": [
@@ -5543,16 +5543,16 @@
"execution_count": 101,
"id": "101",
"metadata": {
- "id": "101",
- "outputId": "eaccf4c5-4ccc-4ba1-dac7-80b650224477",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "101",
+ "outputId": "eaccf4c5-4ccc-4ba1-dac7-80b650224477"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"done!\n"
]
@@ -5611,16 +5611,16 @@
"execution_count": 104,
"id": "104",
"metadata": {
- "id": "104",
- "outputId": "23b05d9f-e932-4703-ecab-46d89f499832",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "104",
+ "outputId": "23b05d9f-e932-4703-ecab-46d89f499832"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -5646,7 +5646,6 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'How old is Ned Stark?',\n",
@@ -5655,8 +5654,9 @@
" 'aql_result': [41]}"
]
},
+ "execution_count": 104,
"metadata": {},
- "execution_count": 104
+ "output_type": "execute_result"
}
],
"source": [
@@ -5669,16 +5669,16 @@
"execution_count": 105,
"id": "105",
"metadata": {
- "id": "105",
- "outputId": "09591e48-a064-4c1d-f916-e84cc1bea6da",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "105",
+ "outputId": "09591e48-a064-4c1d-f916-e84cc1bea6da"
},
"outputs": [
{
- "output_type": "stream",
"name": "stdout",
+ "output_type": "stream",
"text": [
"\n",
"\n",
@@ -5711,14 +5711,14 @@
]
},
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"{'query': 'How old is Ned Stark?', 'result': 'Ned Stark is 41 years old.'}"
]
},
+ "execution_count": 105,
"metadata": {},
- "execution_count": 105
+ "output_type": "execute_result"
}
],
"source": [
@@ -5820,22 +5820,22 @@
"execution_count": 144,
"id": "110",
"metadata": {
- "id": "110",
- "outputId": "1ec03dd0-c620-403d-d092-d3971db090af",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "110",
+ "outputId": "1ec03dd0-c620-403d-d092-d3971db090af"
},
"outputs": [
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"Response(response='Protesters have gathered in the streets due to concerns about the increase in food prices, high unemployment rates, and a perceived decline in essential government services.', source_nodes=[NodeWithScore(node=TextNode(id_='158c69fc-2fba-4f32-a998-91a3a47a16ca', embedding=None, metadata={'_id': 'Event/ALG2554'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='038eafc2-1e7a-4cf7-826c-41ead79ceaab', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Event/ALG2554'}, hash='934e2b16f008b227f4b9bd563eab504ac01d2296c544bef445176eb75ad2b0a3'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='337d4352-b089-4772-bbf6-db591a54833f', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Event/ALG2553'}, hash='70b02ab3d240c802aa60cd72264d3adad57daa5d04fa174a511d4a0899298728'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='a622f88b-c6b9-467f-a3ca-b351139e45f5', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='6c6bdd8671d153dd0b70aea14a915a151337fa0bc889f6cdc8c65dce6175c8b3')}, text='Protesters gather in the streets over the rise of food prices, unemployment, and a perceived deterioration of basic government services., 2011-01-05T00:00:00.000Z, Protests, 0', start_char_idx=0, end_char_idx=175, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8528379279022342), NodeWithScore(node=TextNode(id_='1855d0f9-97b4-479b-bdaa-96c90dad7185', embedding=None, metadata={'_id': 'Event/ALG2555'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='6d5dd696-77f6-48ff-93b9-c743249fa077', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Event/ALG2555'}, hash='ad792bbbba20eec788b2a259da32e19c15851ed158f90a5fd059e15dc7b961fa'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='a8e2252c-c600-472a-8fd5-402acf47dbea', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Event/ALG2559'}, hash='3f364098aff7624a0a86585ac54567044b49085e0143904303e7f499efc238ba'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='6f80f573-8be0-4e05-8f30-4a530d9f983d', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='e7a71c1105679ddc330bae6e78e4e36679d809ef5a46bbb2c8ca820eb066d284')}, text='Protesters gather in the streets over the rise of food prices, unemployment, and a perceived deterioration of basic government services., 2011-01-05T00:00:00.000Z, Protests, 0', start_char_idx=0, end_char_idx=175, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8519977629659838)], metadata={'158c69fc-2fba-4f32-a998-91a3a47a16ca': {'_id': 'Event/ALG2554'}, '1855d0f9-97b4-479b-bdaa-96c90dad7185': {'_id': 'Event/ALG2555'}})"
]
},
+ "execution_count": 144,
"metadata": {},
- "execution_count": 144
+ "output_type": "execute_result"
}
],
"source": [
@@ -5948,22 +5948,22 @@
"execution_count": 134,
"id": "116",
"metadata": {
- "id": "116",
- "outputId": "8ab1bd4f-2c28-4d84-aaf4-6e0a3c637ab8",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "116",
+ "outputId": "8ab1bd4f-2c28-4d84-aaf4-6e0a3c637ab8"
},
"outputs": [
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"Response(response='National Union for the Total Independence of Angola', source_nodes=[NodeWithScore(node=TextNode(id_='cd0f1b76-e2a9-444f-a1e7-69aa70905bdd', embedding=None, metadata={'_id': 'Actor/fa638dbcb53f818c5e12dd09542efedf'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='03a3bbba-e945-4497-8297-cd12d27045cf', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Actor/fa638dbcb53f818c5e12dd09542efedf'}, hash='9c03b3ced77eed0465aa9509c4133601952135beb1bf9b9c4c1c34c15c3f8637'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='e23eae4e-9a22-4d16-86a1-aebecb1a7730', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Actor/7ce21c73939d25a5797624adeb219433'}, hash='122b531e1b03d8c51cd871db2959109abf236fdf2de581724e8bb682c7068c12'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='34b3624d-04a8-4d7b-822c-3f3f1cc9832f', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='847f5b8366fd43866cedd4940ce1179fa8e834fdc7b9007a59e08961400e65b8')}, text='Former UNITA: National Union for the Total Independence of Angola', start_char_idx=0, end_char_idx=65, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8614664686763281), NodeWithScore(node=TextNode(id_='2833e01f-7019-4dd7-9216-742cfebf67e7', embedding=None, metadata={'_id': 'Actor/9bf5e0a27d6c6ec8113ff71756802331'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='21b10caa-fa0f-4c3e-9638-9a600425d378', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Actor/9bf5e0a27d6c6ec8113ff71756802331'}, hash='c1a025475ca5fd65e68103deedd4c11f71370b2978f460bcfee5755a4f18be2e'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='58437b79-582f-4eb2-bc8d-2da99dcd3914', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Actor/827a99003b0685f6f2db84bc0db726d0'}, hash='f33dd57065b77a9d9002be32e4f371a7a8eb53f6795f44ddaa7fb695b82a8161'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='024fc5a4-e0f4-45ff-8a52-15bc22bbbd7d', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='42090e4f8de57e7efe1fc2892d9b1fb5a305f5ec6c964cb93de0b9dba80853ed')}, text='UNITA: National Union for the Total Independence of Angola', start_char_idx=0, end_char_idx=58, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8602056427642614)], metadata={'cd0f1b76-e2a9-444f-a1e7-69aa70905bdd': {'_id': 'Actor/fa638dbcb53f818c5e12dd09542efedf'}, '2833e01f-7019-4dd7-9216-742cfebf67e7': {'_id': 'Actor/9bf5e0a27d6c6ec8113ff71756802331'}, 'selector_result': MultiSelection(selections=[SingleSelection(index=1, reason=\"The question 'What does UNITA stand for?' is likely related to an 'Actor' collection data query, as UNITA is likely an organization or entity represented by actors.\")])})"
]
},
+ "execution_count": 134,
"metadata": {},
- "execution_count": 134
+ "output_type": "execute_result"
}
],
"source": [
@@ -5974,57 +5974,57 @@
},
{
"cell_type": "code",
- "source": [
- "router_query_engine.query(\"What are some Actors associated to Angola?\")"
- ],
+ "execution_count": 138,
+ "id": "Fo67Trjm_-qy",
"metadata": {
- "id": "Fo67Trjm_-qy",
- "outputId": "626a704a-a3bb-498f-c37c-a0c54a28dcd6",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "Fo67Trjm_-qy",
+ "outputId": "626a704a-a3bb-498f-c37c-a0c54a28dcd6"
},
- "id": "Fo67Trjm_-qy",
- "execution_count": 138,
"outputs": [
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"Response(response='Government of Angola and UNITA', source_nodes=[NodeWithScore(node=TextNode(id_='300fe63d-7686-44d5-9082-1f06ab8415f5', embedding=None, metadata={'_id': 'Actor/c830f275ce678ee9a0184606db329a4c'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='92ac5f1d-6a18-4880-9470-d639dd5f4206', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Actor/c830f275ce678ee9a0184606db329a4c'}, hash='17866ed7ab330f3824a838c7a47a3da12f692cc88e99447be466f4ff34743f09'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='18ab1c7e-602f-42fb-9fa0-7262e9085027', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Actor/a3cf97fe7c908c8075cf470fd30f5691'}, hash='0c1a1c683f7b2e1fe2cb7992ee5b01332f03438e55f172ad6c43527ffab923ca'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='9bfe9371-4af9-4b4c-abf5-22243bd07cfb', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='bb78323a2b9c15b892b56858d37f784b9c1314c008367413721d6d28bcb426c1')}, text='Government of Angola (1975-)', start_char_idx=0, end_char_idx=28, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8721270332984348), NodeWithScore(node=TextNode(id_='2833e01f-7019-4dd7-9216-742cfebf67e7', embedding=None, metadata={'_id': 'Actor/9bf5e0a27d6c6ec8113ff71756802331'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='21b10caa-fa0f-4c3e-9638-9a600425d378', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Actor/9bf5e0a27d6c6ec8113ff71756802331'}, hash='c1a025475ca5fd65e68103deedd4c11f71370b2978f460bcfee5755a4f18be2e'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='58437b79-582f-4eb2-bc8d-2da99dcd3914', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Actor/827a99003b0685f6f2db84bc0db726d0'}, hash='f33dd57065b77a9d9002be32e4f371a7a8eb53f6795f44ddaa7fb695b82a8161'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='024fc5a4-e0f4-45ff-8a52-15bc22bbbd7d', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='42090e4f8de57e7efe1fc2892d9b1fb5a305f5ec6c964cb93de0b9dba80853ed')}, text='UNITA: National Union for the Total Independence of Angola', start_char_idx=0, end_char_idx=58, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8702608020248003)], metadata={'300fe63d-7686-44d5-9082-1f06ab8415f5': {'_id': 'Actor/c830f275ce678ee9a0184606db329a4c'}, '2833e01f-7019-4dd7-9216-742cfebf67e7': {'_id': 'Actor/9bf5e0a27d6c6ec8113ff71756802331'}, 'selector_result': MultiSelection(selections=[SingleSelection(index=1, reason=\"The query engine for 'Actor' collection data would be most relevant to the question 'What are some Actors associated to Angola?' as it focuses on retrieving information about actors, which are likely to include individuals associated with Angola.\")])})"
]
},
+ "execution_count": 138,
"metadata": {},
- "execution_count": 138
+ "output_type": "execute_result"
}
+ ],
+ "source": [
+ "router_query_engine.query(\"What are some Actors associated to Angola?\")"
]
},
{
"cell_type": "code",
- "source": [
- "router_query_engine.query(\"Tell me about an event that had at least 1 fatality\")"
- ],
+ "execution_count": 148,
+ "id": "wETZgig_ATU9",
"metadata": {
- "id": "wETZgig_ATU9",
- "outputId": "d04a0f83-6b21-4383-c4fb-231255c431e3",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "wETZgig_ATU9",
+ "outputId": "d04a0f83-6b21-4383-c4fb-231255c431e3"
},
- "id": "wETZgig_ATU9",
- "execution_count": 148,
"outputs": [
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"Response(response='An event that had at least 1 fatality involved 2 deaths due to rioting reported by The Liberte Daily.', source_nodes=[NodeWithScore(node=TextNode(id_='0333a1a9-5118-4eff-b0a1-e824e2751a6a', embedding=None, metadata={'_id': 'Event/ALG548'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='7e9660cd-6f91-4e2d-af8f-edf7f0a39be3', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Event/ALG548'}, hash='181229cb01578544cd0216b9c6f809404f41523327a9d20be13ffc8e71e43517'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='5547a459-f56c-4423-a10d-71d905fa620c', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Event/ALG547'}, hash='68bf1d15a7bc0fa9a88308774812ac20afb1de4c8bfc5ceb7cdc9390e4f378c6'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='192c4105-2171-468f-b724-8dc5ff7bfad9', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='2556a141dead3eff57f3262caf5ce64f234d2fd948808c916a7e716230ecaa30')}, text='The Liberte Daily reported that 2 more deaths due to rioting had occurred on Monday. Both were allegedly shot by police, although the locations of the shootings were not reported., 2001-05-28T00:00:00.000Z, Violence_against_civilians, 2', start_char_idx=0, end_char_idx=236, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8191686461095953), NodeWithScore(node=TextNode(id_='8e517a19-abd1-457c-a913-ff28125466ca', embedding=None, metadata={'_id': 'Event/ALG623'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='ff1bf6b6-3134-4b47-b717-b9c668c590b9', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Event/ALG623'}, hash='164ef9c1fe3f41fa6191d1af7b52c5566690090e11eb31c47504a94ed987283a'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='b6ac9243-6590-4175-8caf-5af12a11e6d9', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Event/ALG624'}, hash='a2bdd9643de2d6a574815f2797977da31b90d538513c8ba6eaea84cf7032cc74'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='f4738570-453b-49de-9d18-eb814623f9c4', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='0aa79e4edcfe1086fa34f646201d19e416d41f72712e31b3ee9fc9a6c127f7c5')}, text='43 people have been reported killed in the Mascara region over the last two weeks (reported on Sept.1, 28 fatalities reported in other events)., 2001-08-25T00:00:00.000Z, Violence_against_civilians, 15', start_char_idx=0, end_char_idx=201, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8188363212047347)], metadata={'0333a1a9-5118-4eff-b0a1-e824e2751a6a': {'_id': 'Event/ALG548'}, '8e517a19-abd1-457c-a913-ff28125466ca': {'_id': 'Event/ALG623'}, 'selector_result': MultiSelection(selections=[SingleSelection(index=0, reason=\"The query engine for 'Event' collection data would be most relevant to the question about an event with at least 1 fatality.\")])})"
]
},
+ "execution_count": 148,
"metadata": {},
- "execution_count": 148
+ "output_type": "execute_result"
}
- ]
+ ],
+ "source": [
+ "router_query_engine.query(\"Tell me about an event that had at least 1 fatality\")"
+ ]
},
{
"cell_type": "markdown",
@@ -6038,30 +6038,30 @@
},
{
"cell_type": "code",
- "source": [
- "# Notice how no relationships are being dervied, the response is empty:\n",
- "router_query_engine.query(\"What events are linked to the Government of Angola?\")"
- ],
+ "execution_count": 145,
+ "id": "FS-84fDbAt7M",
"metadata": {
- "id": "FS-84fDbAt7M",
- "outputId": "fe08413f-34ff-4d1e-e3be-4514b01a20dd",
"colab": {
"base_uri": "https://localhost:8080/"
- }
+ },
+ "id": "FS-84fDbAt7M",
+ "outputId": "fe08413f-34ff-4d1e-e3be-4514b01a20dd"
},
- "id": "FS-84fDbAt7M",
- "execution_count": 145,
"outputs": [
{
- "output_type": "execute_result",
"data": {
"text/plain": [
"Response(response='None of the events mentioned in the context information are linked to the Government of Angola.', source_nodes=[NodeWithScore(node=TextNode(id_='988a894c-3f07-433f-b6ac-9acace8b6be2', embedding=None, metadata={'_id': 'Event/ALG2367'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='71a1b58c-28fe-4d4c-8192-7283a1e2d512', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Event/ALG2367'}, hash='0c107782789a1674b8dbabd024723b1cca3c9719f7664bb9997e75aafb5497fb'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='1af36b49-069f-4938-b9a8-90db5b4396dd', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Event/ALG2366'}, hash='e590568ecd134130ee54e91ccdafe2191af671e60455d7da0b8290fd2bb00417'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='34e6df18-5137-4e56-b23f-b0e41d422e46', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='403943b3cb8db64fd00c4395895b226428bf8fc72855df43afa63aae0e4b1f5a')}, text='Protests were observed this week, part of a wave of demonstrations over housing conditions, the state of roads, and gas and electricity cuts. Authorities insist that Algerias 2010 budget allots significant spending to health infrastructure, habitat and town planning, and social services like water, gas, electricity and urban transport., 2009-10-15T00:00:00.000Z, Protests, 0', start_char_idx=0, end_char_idx=376, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8098310160208833), NodeWithScore(node=TextNode(id_='fd2a4303-7856-43db-9e62-d90edf614329', embedding=None, metadata={'_id': 'Event/ALG2931'}, excluded_embed_metadata_keys=[], excluded_llm_metadata_keys=[], relationships={<NodeRelationship.SOURCE: '1'>: RelatedNodeInfo(node_id='5c87170f-e39c-43aa-a8ee-25f954aba3d3', node_type=<ObjectType.DOCUMENT: '4'>, metadata={'_id': 'Event/ALG2931'}, hash='45841faf32e5ee0a249e499cdb81798fa07291b8768aad4368ae53c3cbee36a5'), <NodeRelationship.PREVIOUS: '2'>: RelatedNodeInfo(node_id='358ea7c2-b8ca-4b45-8674-ece1be96926a', node_type=<ObjectType.TEXT: '1'>, metadata={'_id': 'Event/ALG2929'}, hash='c906b4c3303083537c82d9f6d4a48019d982fbf6868c9fea4eb1a16052c41db2'), <NodeRelationship.NEXT: '3'>: RelatedNodeInfo(node_id='26f00775-279d-42c7-8f6d-e77b22b76dc1', node_type=<ObjectType.TEXT: '1'>, metadata={}, hash='02a9cc380cd877239f0156fff9b4ff21bcab52104d50f7bff6904ef4fc4c9943')}, text='Several provinces of the country witnessed protests linked to unemployment, urban planning, lack of gas and water, and especially to housing problem. In the province of Tipasa, west of Algiers, citizens of Halloula-Essahilia village last Thursday took to the streets and blocked National Road 67 to protest against the cancellation of the scheduled visit of the governor of Tipasa, during which they hoped to present their grievances to the first responsible of the province. They used burning tires and other objects to denounce the lack of drinking water in homes pipes for five days, the fall of a child in a sewer and to claim social order., 2011-12-22T00:00:00.000Z, Riots, 0', start_char_idx=0, end_char_idx=680, text_template='{metadata_str}\\n\\n{content}', metadata_template='{key}: {value}', metadata_seperator='\\n'), score=0.8092197909480777)], metadata={'988a894c-3f07-433f-b6ac-9acace8b6be2': {'_id': 'Event/ALG2367'}, 'fd2a4303-7856-43db-9e62-d90edf614329': {'_id': 'Event/ALG2931'}, 'selector_result': MultiSelection(selections=[SingleSelection(index=0, reason=\"The query engine for 'Event' collection data would be most relevant to the question 'What events are linked to the Government of Angola?' as it focuses on events and their data.\")])})"
]
},
+ "execution_count": 145,
"metadata": {},
- "execution_count": 145
+ "output_type": "execute_result"
}
+ ],
+ "source": [
+ "# Notice how no relationships are being dervied, the response is empty:\n",
+ "router_query_engine.query(\"What events are linked to the Government of Angola?\")"
]
},
{
@@ -6111,10 +6111,37 @@
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
- "70ee96c8ef3c45aa98219904eb3b9fe3": {
+ "00bb413e3e8d4aa2ae5a6d22f161f9cf": {
"model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
"model_name": "OutputModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_4d3c7dbf69da4fb499307835431b6a09",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/inRegion.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/inRegion.json \u001b[38;2;91;192;222m▰▰▱…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
+ },
+ "01ecb9afdf5e4f1d86a62d600c621401": {
+ "model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
+ "model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
@@ -6124,24 +6151,132 @@
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
- "layout": "IPY_MODEL_eddd34db2d804dcf8bec541202e00305",
+ "layout": "IPY_MODEL_b04d48b009814255bec75e8815e9b8b2",
"msg_id": "",
"outputs": [
{
- "output_type": "display_data",
"data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/root_metadata.json \u001b[38;2;91;192;222m▰▰▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/root_metadata.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Actor.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00…</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Actor.json \u001b[38;2;91;192;222m▰▰▰…\u001b[0m \u001b[33m0:00…\u001b[0m\n"
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
}
]
}
},
- "eddd34db2d804dcf8bec541202e00305": {
+ "0df0198bad8341e0b017d0a5039d6094": {
+ "model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
+ "model_name": "OutputModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_6a6ca17c07f94dcab0bc3853e3e25e3e",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Event.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00…</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Event.json \u001b[38;2;91;192;222m▰▱▱…\u001b[0m \u001b[33m0:00…\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
+ },
+ "13d8b76a4c3f443ca0dee631fd3959b0": {
+ "model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
+ "model_name": "OutputModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_9af4fff0dbaa4cbdaed50a2d06859ad6",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: hasSource <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▰▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:04</span>\n</pre>\n",
+ "text/plain": "Collection: hasSource \u001b[38;2;91;192;222m▰▰▰▰▰▱▱\u001b[0m \u001b[33m0:00:04\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
+ },
+ "147a5bd97280413eb9faa3058cb97d07": {
+ "model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
+ "model_name": "OutputModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_87d7d473913245e685ca190c5fd19afd",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/gameofthrones/vertex_collection/Characters.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/gameofthrones/vertex_collection/Characters.json \u001b[38;2;91;192;222m▰▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
+ },
+ "14fc56900a6d4df99016f3473c6e0676": {
+ "model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
+ "model_name": "OutputModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_4e7914d83ed64042b3998f915e6d829b",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/inCountry.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/inCountry.json \u001b[38;2;91;192;222m▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
+ },
+ "1929aaf08f4544edba0a08b91a489ce3": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -6190,10 +6325,37 @@
"width": null
}
},
- "147a5bd97280413eb9faa3058cb97d07": {
+ "1a72b4fda58948e0a2eb71bdc719a9ec": {
"model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
"model_name": "OutputModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_731201f02f5c4472816523f311a5bbbd",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/hasLocation.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:…</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/hasLocation.json \u001b[38;2;91;192;222m▰…\u001b[0m \u001b[33m0:…\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
+ },
+ "1d1314830fc8414aab37de559cae3a7e": {
+ "model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
+ "model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
@@ -6203,24 +6365,105 @@
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
- "layout": "IPY_MODEL_87d7d473913245e685ca190c5fd19afd",
+ "layout": "IPY_MODEL_2204c3cd02fb44a8893193aa436ce237",
"msg_id": "",
"outputs": [
{
- "output_type": "display_data",
"data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/gameofthrones/vertex_collection/Characters.json \u001b[38;2;91;192;222m▰▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/gameofthrones/vertex_collection/Characters.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Source <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+ "text/plain": "Collection: Source \u001b[38;2;91;192;222m▰▰▰▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
}
]
}
},
- "87d7d473913245e685ca190c5fd19afd": {
+ "1e2cac77fa2e43afb98d6d9bde57741b": {
+ "model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
+ "model_name": "OutputModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_830a7c760c3a43ee8ee40c1e06798a14",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Class <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+ "text/plain": "Collection: Class \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
+ },
+ "20d76c9bdcfd4cbebd03b49b2265fa15": {
+ "model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
+ "model_name": "OutputModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_54da99ce57ce418bae748462b7f75097",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/subClass.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/subClass.json \u001b[38;2;91;192;222m▰▰▱…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
+ },
+ "21cf9ccaa27f46bfa338e8e763e93fff": {
+ "model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
+ "model_name": "OutputModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_3cda846de799490fa17347b6df055779",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: inRegion <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+ "text/plain": "Collection: inRegion \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
+ },
+ "2204c3cd02fb44a8893193aa436ce237": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -6269,37 +6512,10 @@
"width": null
}
},
- "9c719713b7f84b5bbc9c3b93ae018025": {
- "model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
- "model_module_version": "1.0.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/output",
- "_model_module_version": "1.0.0",
- "_model_name": "OutputModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_ade3d0b0a6de40ce83e27e7385cf728d",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "Collection: Characters \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Characters <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
- },
- "metadata": {}
- }
- ]
- }
- },
- "ade3d0b0a6de40ce83e27e7385cf728d": {
+ "287733dd66da40ccbc7933737b98e7c7": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -6348,10 +6564,91 @@
"width": null
}
},
- "e75b133f77c440c3a5fd22971d759f5e": {
+ "2cb2acb201a04ec89f524003e4bf86d0": {
+ "model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
+ "model_name": "OutputModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_8dd40f435d1749e2be2cd59527d144d8",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Source.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Source.json \u001b[38;2;91;192;222m▰▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
+ },
+ "2e28383458f6415bb6726ba7a340b727": {
+ "model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
+ "model_name": "OutputModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_bd5d1c41edac4817a435116142b6993f",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/type.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱▱▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:…</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/type.json \u001b[38;2;91;192;222m▰▰▱▱▱…\u001b[0m \u001b[33m0:00:…\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
+ },
+ "316e150ba0c24fc5bdd4d447c994be7d": {
+ "model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
+ "model_name": "OutputModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_4083fa5e3357412880cde9e48023539a",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: ChildOf <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+ "text/plain": "Collection: ChildOf \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
+ },
+ "33dc2087089d47888368b9d5a08e8065": {
"model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
"model_module_version": "1.0.0",
+ "model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
@@ -6361,24 +6658,24 @@
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
- "layout": "IPY_MODEL_47d55e09f93f4adab47035b886f77e72",
+ "layout": "IPY_MODEL_287733dd66da40ccbc7933737b98e7c7",
"msg_id": "",
"outputs": [
{
- "output_type": "display_data",
"data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/gameofthrones/edge_collection/ChildOf.json \u001b[38;2;91;192;222m▰▰▰▱▱…\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/gameofthrones/edge_collection/ChildOf.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▱▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: subClass <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+ "text/plain": "Collection: subClass \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
}
]
}
},
- "47d55e09f93f4adab47035b886f77e72": {
+ "35dcc210e7df45b0aea55852fcf02466": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -6427,37 +6724,10 @@
"width": null
}
},
- "316e150ba0c24fc5bdd4d447c994be7d": {
- "model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
- "model_module_version": "1.0.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/output",
- "_model_module_version": "1.0.0",
- "_model_name": "OutputModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_4083fa5e3357412880cde9e48023539a",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "Collection: ChildOf \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: ChildOf <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
- },
- "metadata": {}
- }
- ]
- }
- },
- "4083fa5e3357412880cde9e48023539a": {
+ "36da2525b19847e1addebd4a26b6979f": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -6506,37 +6776,10 @@
"width": null
}
},
- "787cd3d8813d4515ad7e138aaa49ff8c": {
- "model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
- "model_module_version": "1.0.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/output",
- "_model_module_version": "1.0.0",
- "_model_name": "OutputModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_3afc205fe9b840258b7b0656665551b1",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/root_metadata.json \u001b[38;2;91;192;222m▰▰▰▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/root_metadata.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
- },
- "metadata": {}
- }
- ]
- }
- },
- "3afc205fe9b840258b7b0656665551b1": {
+ "38c9a48129e24829a96d566785a6688c": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -6585,37 +6828,10 @@
"width": null
}
},
- "01ecb9afdf5e4f1d86a62d600c621401": {
- "model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
- "model_module_version": "1.0.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/output",
- "_model_module_version": "1.0.0",
- "_model_name": "OutputModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_b04d48b009814255bec75e8815e9b8b2",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Actor.json \u001b[38;2;91;192;222m▰▰▰…\u001b[0m \u001b[33m0:00…\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Actor.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00…</span>\n</pre>\n"
- },
- "metadata": {}
- }
- ]
- }
- },
- "b04d48b009814255bec75e8815e9b8b2": {
+ "3afc205fe9b840258b7b0656665551b1": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -6664,37 +6880,10 @@
"width": null
}
},
- "dfc2dccaaf704fc8ab98d084161f8d6f": {
- "model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
- "model_module_version": "1.0.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/output",
- "_model_module_version": "1.0.0",
- "_model_name": "OutputModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_35dcc210e7df45b0aea55852fcf02466",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "Collection: Actor \u001b[38;2;91;192;222m▰▰▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Actor <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
- },
- "metadata": {}
- }
- ]
- }
- },
- "35dcc210e7df45b0aea55852fcf02466": {
+ "3cda846de799490fa17347b6df055779": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -6743,10 +6932,10 @@
"width": null
}
},
- "c0298c61e6564c70900ed485a332f104": {
+ "3fd66aca0de4489788c231af73a8dc9f": {
"model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
"model_module_version": "1.0.0",
+ "model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
@@ -6756,24 +6945,24 @@
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
- "layout": "IPY_MODEL_ce7a6a346cac4456aaad509590b84445",
+ "layout": "IPY_MODEL_bf1f854832fe4ddabaea0090c9bf1916",
"msg_id": "",
"outputs": [
{
- "output_type": "display_data",
"data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Class.json \u001b[38;2;91;192;222m▰▰▰…\u001b[0m \u001b[33m0:00…\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Class.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00…</span>\n</pre>\n"
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Location <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▰▰▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+ "text/plain": "Collection: Location \u001b[38;2;91;192;222m▰▰▰▰▰▰▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
}
]
}
},
- "ce7a6a346cac4456aaad509590b84445": {
+ "4083fa5e3357412880cde9e48023539a": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -6822,10 +7011,10 @@
"width": null
}
},
- "1e2cac77fa2e43afb98d6d9bde57741b": {
+ "443b07aa182d4fa08755353991442776": {
"model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
"model_module_version": "1.0.0",
+ "model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
@@ -6835,24 +7024,24 @@
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
- "layout": "IPY_MODEL_830a7c760c3a43ee8ee40c1e06798a14",
+ "layout": "IPY_MODEL_a43fd065c67041a183df402874c30020",
"msg_id": "",
"outputs": [
{
- "output_type": "display_data",
"data": {
- "text/plain": "Collection: Class \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Class <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Region.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Region.json \u001b[38;2;91;192;222m▰▰▱…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
}
]
}
},
- "830a7c760c3a43ee8ee40c1e06798a14": {
+ "47d55e09f93f4adab47035b886f77e72": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -6901,10 +7090,37 @@
"width": null
}
},
- "6c719cccc182418b9060b951bf88fd2b": {
+ "48f34d7821774273bcc072e2168344fb": {
"model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
"model_name": "OutputModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_36da2525b19847e1addebd4a26b6979f",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Region <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+ "text/plain": "Collection: Region \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
+ },
+ "4ab7df5989f445dabe4657d07f7b97b9": {
+ "model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
+ "model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
@@ -6914,24 +7130,24 @@
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
- "layout": "IPY_MODEL_7a8655bc8c3b46fc9a2909cf670e9064",
+ "layout": "IPY_MODEL_bd9d20ef71c24856889a0e876754e627",
"msg_id": "",
"outputs": [
{
- "output_type": "display_data",
"data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Country.json \u001b[38;2;91;192;222m▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Country.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Event <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▰▰▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:04</span>\n</pre>\n",
+ "text/plain": "Collection: Event \u001b[38;2;91;192;222m▰▰▰▰▰▰▱\u001b[0m \u001b[33m0:00:04\u001b[0m\n"
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
}
]
}
},
- "7a8655bc8c3b46fc9a2909cf670e9064": {
+ "4d3c7dbf69da4fb499307835431b6a09": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -6980,37 +7196,10 @@
"width": null
}
},
- "a9245b5e66fc4c808bb3beec6c3a99f8": {
- "model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
- "model_module_version": "1.0.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/output",
- "_model_module_version": "1.0.0",
- "_model_name": "OutputModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_38c9a48129e24829a96d566785a6688c",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "Collection: Country \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Country <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
- },
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- "38c9a48129e24829a96d566785a6688c": {
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@@ -7059,37 +7248,10 @@
"width": null
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},
- "0df0198bad8341e0b017d0a5039d6094": {
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- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_6a6ca17c07f94dcab0bc3853e3e25e3e",
- "msg_id": "",
- "outputs": [
- {
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- "data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Event.json \u001b[38;2;91;192;222m▰▱▱…\u001b[0m \u001b[33m0:00…\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Event.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00…</span>\n</pre>\n"
- },
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- "6a6ca17c07f94dcab0bc3853e3e25e3e": {
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+ "model_name": "LayoutModel",
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@@ -7138,10 +7300,10 @@
"width": null
}
},
- "4ab7df5989f445dabe4657d07f7b97b9": {
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- "model_name": "OutputModel",
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+ "model_name": "OutputModel",
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@@ -7151,24 +7313,24 @@
"_view_module": "@jupyter-widgets/output",
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"_view_name": "OutputView",
- "layout": "IPY_MODEL_bd9d20ef71c24856889a0e876754e627",
+ "layout": "IPY_MODEL_e19611b67f1248e7935fb7943fc79dc2",
"msg_id": "",
"outputs": [
{
- "output_type": "display_data",
"data": {
- "text/plain": "Collection: Event \u001b[38;2;91;192;222m▰▰▰▰▰▰▱\u001b[0m \u001b[33m0:00:04\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Event <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▰▰▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:04</span>\n</pre>\n"
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: type <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:04</span>\n</pre>\n",
+ "text/plain": "Collection: type \u001b[38;2;91;192;222m▰▰▰▰▱▱▱\u001b[0m \u001b[33m0:00:04\u001b[0m\n"
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
}
]
}
},
- "bd9d20ef71c24856889a0e876754e627": {
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- "model_name": "LayoutModel",
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+ "model_name": "LayoutModel",
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@@ -7217,37 +7379,10 @@
"width": null
}
},
- "d714f473459c4087aca075d7e41b0361": {
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- "_view_count": null,
- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_65ec933ff80e445d9faefe0b6de2794e",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Location.json \u001b[38;2;91;192;222m▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Location.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
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+ "model_name": "LayoutModel",
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@@ -7296,37 +7431,10 @@
"width": null
}
},
- "3fd66aca0de4489788c231af73a8dc9f": {
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- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_bf1f854832fe4ddabaea0090c9bf1916",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "Collection: Location \u001b[38;2;91;192;222m▰▰▰▰▰▰▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Location <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▰▰▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
- },
- "metadata": {}
- }
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- "bf1f854832fe4ddabaea0090c9bf1916": {
+ "6a6ca17c07f94dcab0bc3853e3e25e3e": {
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- "model_name": "LayoutModel",
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+ "model_name": "LayoutModel",
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@@ -7375,10 +7483,37 @@
"width": null
}
},
- "443b07aa182d4fa08755353991442776": {
+ "6c719cccc182418b9060b951bf88fd2b": {
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+ "model_module_version": "1.0.0",
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+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_7a8655bc8c3b46fc9a2909cf670e9064",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Country.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Country.json \u001b[38;2;91;192;222m▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
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+ },
+ "6edea384a5d84339a997485ee48ee4b3": {
+ "model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
+ "model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
@@ -7388,24 +7523,51 @@
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
- "layout": "IPY_MODEL_a43fd065c67041a183df402874c30020",
+ "layout": "IPY_MODEL_6072ffb0bfc9471ba8227137be406b1b",
"msg_id": "",
"outputs": [
{
- "output_type": "display_data",
"data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Region.json \u001b[38;2;91;192;222m▰▰▱…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Region.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: hasLocation <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:04</span>\n</pre>\n",
+ "text/plain": "Collection: hasLocation \u001b[38;2;91;192;222m▰▰▰▰▱▱▱\u001b[0m \u001b[33m0:00:04\u001b[0m\n"
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
}
]
}
},
- "a43fd065c67041a183df402874c30020": {
+ "70ee96c8ef3c45aa98219904eb3b9fe3": {
+ "model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
+ "model_name": "OutputModel",
+ "state": {
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+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_eddd34db2d804dcf8bec541202e00305",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/root_metadata.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/root_metadata.json \u001b[38;2;91;192;222m▰▰▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
+ },
+ "731201f02f5c4472816523f311a5bbbd": {
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- "model_name": "LayoutModel",
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+ "model_name": "LayoutModel",
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@@ -7454,10 +7616,10 @@
"width": null
}
},
- "48f34d7821774273bcc072e2168344fb": {
+ "787cd3d8813d4515ad7e138aaa49ff8c": {
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- "model_name": "OutputModel",
"model_module_version": "1.0.0",
+ "model_name": "OutputModel",
"state": {
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"_model_module": "@jupyter-widgets/output",
@@ -7467,24 +7629,24 @@
"_view_module": "@jupyter-widgets/output",
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"_view_name": "OutputView",
- "layout": "IPY_MODEL_36da2525b19847e1addebd4a26b6979f",
+ "layout": "IPY_MODEL_3afc205fe9b840258b7b0656665551b1",
"msg_id": "",
"outputs": [
{
- "output_type": "display_data",
"data": {
- "text/plain": "Collection: Region \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Region <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/root_metadata.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/root_metadata.json \u001b[38;2;91;192;222m▰▰▰▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
}
]
}
},
- "36da2525b19847e1addebd4a26b6979f": {
+ "7a8655bc8c3b46fc9a2909cf670e9064": {
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- "model_name": "LayoutModel",
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+ "model_name": "LayoutModel",
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@@ -7533,37 +7695,10 @@
"width": null
}
},
- "2cb2acb201a04ec89f524003e4bf86d0": {
- "model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
- "model_module_version": "1.0.0",
- "state": {
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- "_model_module": "@jupyter-widgets/output",
- "_model_module_version": "1.0.0",
- "_model_name": "OutputModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_8dd40f435d1749e2be2cd59527d144d8",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Source.json \u001b[38;2;91;192;222m▰▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Source.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
- },
- "metadata": {}
- }
- ]
- }
- },
- "8dd40f435d1749e2be2cd59527d144d8": {
+ "830a7c760c3a43ee8ee40c1e06798a14": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
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"_model_module_version": "1.2.0",
@@ -7612,37 +7747,10 @@
"width": null
}
},
- "1d1314830fc8414aab37de559cae3a7e": {
- "model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
- "model_module_version": "1.0.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/output",
- "_model_module_version": "1.0.0",
- "_model_name": "OutputModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_2204c3cd02fb44a8893193aa436ce237",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "Collection: Source \u001b[38;2;91;192;222m▰▰▰▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Source <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
- },
- "metadata": {}
- }
- ]
- }
- },
- "2204c3cd02fb44a8893193aa436ce237": {
+ "87d7d473913245e685ca190c5fd19afd": {
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- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
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@@ -7691,37 +7799,10 @@
"width": null
}
},
- "f9f2787c50c14a879c052ecc78cf48fc": {
- "model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
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- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/output",
- "_model_module_version": "1.0.0",
- "_model_name": "OutputModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_1929aaf08f4544edba0a08b91a489ce3",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/eventActor.json \u001b[38;2;91;192;222m▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/eventActor.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
- },
- "metadata": {}
- }
- ]
- }
- },
- "1929aaf08f4544edba0a08b91a489ce3": {
+ "8dd40f435d1749e2be2cd59527d144d8": {
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- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -7770,37 +7851,10 @@
"width": null
}
},
- "b0f8ee4fe5c446e4966dafe58d68dee2": {
- "model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
- "model_module_version": "1.0.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/output",
- "_model_module_version": "1.0.0",
- "_model_name": "OutputModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_ceec724abeee4fb898211f7bee085551",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "Collection: eventActor \u001b[38;2;91;192;222m▰▰▱▱▱▱▱\u001b[0m \u001b[33m0:00:07\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: eventActor <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:07</span>\n</pre>\n"
- },
- "metadata": {}
- }
- ]
- }
- },
- "ceec724abeee4fb898211f7bee085551": {
+ "9af4fff0dbaa4cbdaed50a2d06859ad6": {
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- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -7849,10 +7903,10 @@
"width": null
}
},
- "1a72b4fda58948e0a2eb71bdc719a9ec": {
+ "9c719713b7f84b5bbc9c3b93ae018025": {
"model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
"model_module_version": "1.0.0",
+ "model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
@@ -7862,24 +7916,24 @@
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
- "layout": "IPY_MODEL_731201f02f5c4472816523f311a5bbbd",
+ "layout": "IPY_MODEL_ade3d0b0a6de40ce83e27e7385cf728d",
"msg_id": "",
"outputs": [
{
- "output_type": "display_data",
"data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/hasLocation.json \u001b[38;2;91;192;222m▰…\u001b[0m \u001b[33m0:…\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/hasLocation.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:…</span>\n</pre>\n"
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Characters <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+ "text/plain": "Collection: Characters \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
}
]
}
},
- "731201f02f5c4472816523f311a5bbbd": {
+ "a43fd065c67041a183df402874c30020": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -7928,10 +7982,10 @@
"width": null
}
},
- "6edea384a5d84339a997485ee48ee4b3": {
+ "a9245b5e66fc4c808bb3beec6c3a99f8": {
"model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
"model_module_version": "1.0.0",
+ "model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
@@ -7941,24 +7995,24 @@
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
- "layout": "IPY_MODEL_6072ffb0bfc9471ba8227137be406b1b",
+ "layout": "IPY_MODEL_38c9a48129e24829a96d566785a6688c",
"msg_id": "",
"outputs": [
{
- "output_type": "display_data",
"data": {
- "text/plain": "Collection: hasLocation \u001b[38;2;91;192;222m▰▰▰▰▱▱▱\u001b[0m \u001b[33m0:00:04\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: hasLocation <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:04</span>\n</pre>\n"
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Country <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+ "text/plain": "Collection: Country \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
}
]
}
},
- "6072ffb0bfc9471ba8227137be406b1b": {
+ "ade3d0b0a6de40ce83e27e7385cf728d": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -8007,37 +8061,10 @@
"width": null
}
},
- "f25a84f15e3445e9b633df16055e3886": {
- "model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
- "model_module_version": "1.0.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/output",
- "_model_module_version": "1.0.0",
- "_model_name": "OutputModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_cdf1c5f8046c453b9a3357d363c36644",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/hasSource.json \u001b[38;2;91;192;222m▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/hasSource.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
- },
- "metadata": {}
- }
- ]
- }
- },
- "cdf1c5f8046c453b9a3357d363c36644": {
+ "b04d48b009814255bec75e8815e9b8b2": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -8086,10 +8113,10 @@
"width": null
}
},
- "13d8b76a4c3f443ca0dee631fd3959b0": {
+ "b0f8ee4fe5c446e4966dafe58d68dee2": {
"model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
"model_module_version": "1.0.0",
+ "model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
@@ -8099,24 +8126,24 @@
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
- "layout": "IPY_MODEL_9af4fff0dbaa4cbdaed50a2d06859ad6",
+ "layout": "IPY_MODEL_ceec724abeee4fb898211f7bee085551",
"msg_id": "",
"outputs": [
{
- "output_type": "display_data",
"data": {
- "text/plain": "Collection: hasSource \u001b[38;2;91;192;222m▰▰▰▰▰▱▱\u001b[0m \u001b[33m0:00:04\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: hasSource <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▰▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:04</span>\n</pre>\n"
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: eventActor <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:07</span>\n</pre>\n",
+ "text/plain": "Collection: eventActor \u001b[38;2;91;192;222m▰▰▱▱▱▱▱\u001b[0m \u001b[33m0:00:07\u001b[0m\n"
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
}
]
}
},
- "9af4fff0dbaa4cbdaed50a2d06859ad6": {
+ "bd5d1c41edac4817a435116142b6993f": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -8165,37 +8192,10 @@
"width": null
}
},
- "14fc56900a6d4df99016f3473c6e0676": {
- "model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
- "model_module_version": "1.0.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/output",
- "_model_module_version": "1.0.0",
- "_model_name": "OutputModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_4e7914d83ed64042b3998f915e6d829b",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/inCountry.json \u001b[38;2;91;192;222m▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/inCountry.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
- },
- "metadata": {}
- }
- ]
- }
- },
- "4e7914d83ed64042b3998f915e6d829b": {
+ "bd9d20ef71c24856889a0e876754e627": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -8244,37 +8244,10 @@
"width": null
}
},
- "ffdc18c6a4d64e24886e8cd52efbb90f": {
- "model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
- "model_module_version": "1.0.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/output",
- "_model_module_version": "1.0.0",
- "_model_name": "OutputModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_e720851d72204e31b0cb1f95d8adb3f6",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "Collection: inCountry \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: inCountry <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
- },
- "metadata": {}
- }
- ]
- }
- },
- "e720851d72204e31b0cb1f95d8adb3f6": {
+ "bf1f854832fe4ddabaea0090c9bf1916": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -8323,10 +8296,10 @@
"width": null
}
},
- "00bb413e3e8d4aa2ae5a6d22f161f9cf": {
+ "c0298c61e6564c70900ed485a332f104": {
"model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
"model_module_version": "1.0.0",
+ "model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
@@ -8336,24 +8309,24 @@
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
- "layout": "IPY_MODEL_4d3c7dbf69da4fb499307835431b6a09",
+ "layout": "IPY_MODEL_ce7a6a346cac4456aaad509590b84445",
"msg_id": "",
"outputs": [
{
- "output_type": "display_data",
"data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/inRegion.json \u001b[38;2;91;192;222m▰▰▱…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/inRegion.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Class.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00…</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Class.json \u001b[38;2;91;192;222m▰▰▰…\u001b[0m \u001b[33m0:00…\u001b[0m\n"
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
}
]
}
},
- "4d3c7dbf69da4fb499307835431b6a09": {
+ "cdf1c5f8046c453b9a3357d363c36644": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -8402,37 +8375,10 @@
"width": null
}
},
- "21cf9ccaa27f46bfa338e8e763e93fff": {
- "model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
- "model_module_version": "1.0.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/output",
- "_model_module_version": "1.0.0",
- "_model_name": "OutputModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_3cda846de799490fa17347b6df055779",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "Collection: inRegion \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: inRegion <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
- },
- "metadata": {}
- }
- ]
- }
- },
- "3cda846de799490fa17347b6df055779": {
+ "ce7a6a346cac4456aaad509590b84445": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -8481,37 +8427,10 @@
"width": null
}
},
- "20d76c9bdcfd4cbebd03b49b2265fa15": {
- "model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
- "model_module_version": "1.0.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/output",
- "_model_module_version": "1.0.0",
- "_model_name": "OutputModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_54da99ce57ce418bae748462b7f75097",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/subClass.json \u001b[38;2;91;192;222m▰▰▱…\u001b[0m \u001b[33m0:0…\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/subClass.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n"
- },
- "metadata": {}
- }
- ]
- }
- },
- "54da99ce57ce418bae748462b7f75097": {
+ "ceec724abeee4fb898211f7bee085551": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -8560,10 +8479,37 @@
"width": null
}
},
- "33dc2087089d47888368b9d5a08e8065": {
+ "d714f473459c4087aca075d7e41b0361": {
"model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
"model_name": "OutputModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_65ec933ff80e445d9faefe0b6de2794e",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Location.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/vertex_collection/Location.json \u001b[38;2;91;192;222m▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
+ },
+ "dfc2dccaaf704fc8ab98d084161f8d6f": {
+ "model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
+ "model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
@@ -8573,24 +8519,24 @@
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
- "layout": "IPY_MODEL_287733dd66da40ccbc7933737b98e7c7",
+ "layout": "IPY_MODEL_35dcc210e7df45b0aea55852fcf02466",
"msg_id": "",
"outputs": [
{
- "output_type": "display_data",
"data": {
- "text/plain": "Collection: subClass \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: subClass <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n"
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: Actor <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+ "text/plain": "Collection: Actor \u001b[38;2;91;192;222m▰▰▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
}
]
}
},
- "287733dd66da40ccbc7933737b98e7c7": {
+ "e19611b67f1248e7935fb7943fc79dc2": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -8639,37 +8585,10 @@
"width": null
}
},
- "2e28383458f6415bb6726ba7a340b727": {
- "model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
- "model_module_version": "1.0.0",
- "state": {
- "_dom_classes": [],
- "_model_module": "@jupyter-widgets/output",
- "_model_module_version": "1.0.0",
- "_model_name": "OutputModel",
- "_view_count": null,
- "_view_module": "@jupyter-widgets/output",
- "_view_module_version": "1.0.0",
- "_view_name": "OutputView",
- "layout": "IPY_MODEL_bd5d1c41edac4817a435116142b6993f",
- "msg_id": "",
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/type.json \u001b[38;2;91;192;222m▰▰▱▱▱…\u001b[0m \u001b[33m0:00:…\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/type.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▱▱▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:…</span>\n</pre>\n"
- },
- "metadata": {}
- }
- ]
- }
- },
- "bd5d1c41edac4817a435116142b6993f": {
+ "e720851d72204e31b0cb1f95d8adb3f6": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -8718,10 +8637,10 @@
"width": null
}
},
- "5f528fd15f944d44acf9df355dd3f585": {
+ "e75b133f77c440c3a5fd22971d759f5e": {
"model_module": "@jupyter-widgets/output",
- "model_name": "OutputModel",
"model_module_version": "1.0.0",
+ "model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
@@ -8731,24 +8650,24 @@
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
- "layout": "IPY_MODEL_e19611b67f1248e7935fb7943fc79dc2",
+ "layout": "IPY_MODEL_47d55e09f93f4adab47035b886f77e72",
"msg_id": "",
"outputs": [
{
- "output_type": "display_data",
"data": {
- "text/plain": "Collection: type \u001b[38;2;91;192;222m▰▰▰▰▱▱▱\u001b[0m \u001b[33m0:00:04\u001b[0m\n",
- "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: type <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▰▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:04</span>\n</pre>\n"
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/gameofthrones/edge_collection/ChildOf.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰▰▱▱…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/gameofthrones/edge_collection/ChildOf.json \u001b[38;2;91;192;222m▰▰▰▱▱…\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
},
- "metadata": {}
+ "metadata": {},
+ "output_type": "display_data"
}
]
}
},
- "e19611b67f1248e7935fb7943fc79dc2": {
+ "eddd34db2d804dcf8bec541202e00305": {
"model_module": "@jupyter-widgets/base",
- "model_name": "LayoutModel",
"model_module_version": "1.2.0",
+ "model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
@@ -8796,10 +8715,91 @@
"visibility": null,
"width": null
}
+ },
+ "f25a84f15e3445e9b633df16055e3886": {
+ "model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
+ "model_name": "OutputModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_cdf1c5f8046c453b9a3357d363c36644",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/hasSource.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/hasSource.json \u001b[38;2;91;192;222m▰▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
+ },
+ "f9f2787c50c14a879c052ecc78cf48fc": {
+ "model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
+ "model_name": "OutputModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_1929aaf08f4544edba0a08b91a489ce3",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/eventActor.json <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰…</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:0…</span>\n</pre>\n",
+ "text/plain": "GET: https://arangodb-dataset-library-ml.s3.amazonaws.com/open_intelligence/edge_collection/eventActor.json \u001b[38;2;91;192;222m▰…\u001b[0m \u001b[33m0:0…\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
+ },
+ "ffdc18c6a4d64e24886e8cd52efbb90f": {
+ "model_module": "@jupyter-widgets/output",
+ "model_module_version": "1.0.0",
+ "model_name": "OutputModel",
+ "state": {
+ "_dom_classes": [],
+ "_model_module": "@jupyter-widgets/output",
+ "_model_module_version": "1.0.0",
+ "_model_name": "OutputModel",
+ "_view_count": null,
+ "_view_module": "@jupyter-widgets/output",
+ "_view_module_version": "1.0.0",
+ "_view_name": "OutputView",
+ "layout": "IPY_MODEL_e720851d72204e31b0cb1f95d8adb3f6",
+ "msg_id": "",
+ "outputs": [
+ {
+ "data": {
+ "text/html": "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Collection: inCountry <span style=\"color: #5bc0de; text-decoration-color: #5bc0de\">▰▱▱▱▱▱▱</span> <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span>\n</pre>\n",
+ "text/plain": "Collection: inCountry \u001b[38;2;91;192;222m▰▱▱▱▱▱▱\u001b[0m \u001b[33m0:00:00\u001b[0m\n"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ]
+ }
}
}
}
},
"nbformat": 4,
"nbformat_minor": 5
-}
\ No newline at end of file
+}