diff --git "a/sandbox/20241104 - CQA - StepByStep CQA.ipynb" "b/sandbox/20241104 - CQA - StepByStep CQA.ipynb"
--- "a/sandbox/20241104 - CQA - StepByStep CQA.ipynb"
+++ "b/sandbox/20241104 - CQA - StepByStep CQA.ipynb"
@@ -2,24 +2,16 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 45,
+ "execution_count": 3,
"metadata": {},
"outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The autoreload extension is already loaded. To reload it, use:\n",
- " %reload_ext autoreload\n"
- ]
- },
{
"data": {
"text/plain": [
"True"
]
},
- "execution_count": 45,
+ "execution_count": 3,
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@@ -48,23 +40,16 @@
},
{
"cell_type": "code",
- "execution_count": 46,
+ "execution_count": 4,
"metadata": {},
"outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "INFO:httpx:HTTP Request: POST https://api.openai.com/v1/chat/completions \"HTTP/1.1 200 OK\"\n"
- ]
- },
{
"data": {
"text/plain": [
- "AIMessage(content='Hello! How can I assist you today?', response_metadata={'finish_reason': 'stop'}, id='run-cf39d108-8d3e-4863-843a-23ebdd16aaa9-0')"
+ "AIMessage(content='Hello! How can I assist you today?', response_metadata={'finish_reason': 'stop'}, id='run-6235ddf2-0b8d-406d-ba68-e80124b67ec8-0')"
]
},
- "execution_count": 46,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@@ -86,16 +71,9 @@
},
{
"cell_type": "code",
- "execution_count": 47,
+ "execution_count": 5,
"metadata": {},
"outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: BAAI/bge-base-en-v1.5\n"
- ]
- },
{
"name": "stdout",
"output_type": "stream",
@@ -107,10 +85,8 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: cpu\n",
- "INFO:pinecone_plugin_interface.logging:Discovering subpackages in _NamespacePath(['/home/tim/anaconda3/envs/climateqa/lib/python3.11/site-packages/pinecone_plugins'])\n",
- "INFO:pinecone_plugin_interface.logging:Looking for plugins in pinecone_plugins.inference\n",
- "INFO:pinecone_plugin_interface.logging:Installing plugin inference into Pinecone\n"
+ "/home/tim/ai4s/climate_qa/climate-question-answering/climateqa/engine/vectorstore.py:38: LangChainDeprecationWarning: The class `Pinecone` was deprecated in LangChain 0.0.18 and will be removed in 0.3.0. An updated version of the class exists in the langchain-pinecone package and should be used instead. To use it run `pip install -U langchain-pinecone` and import as `from langchain_pinecone import Pinecone`.\n",
+ " vectorstore = PineconeVectorstore(\n"
]
},
{
@@ -122,7 +98,7 @@
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@@ -142,7 +118,7 @@
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{
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- "execution_count": 48,
+ "execution_count": 6,
"metadata": {},
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@@ -174,7 +150,7 @@
" 'url': 'https://report.ipcc.ch/ar6/wg2/IPCC_AR6_WGII_FullReport.pdf'}"
]
},
- "execution_count": 48,
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"metadata": {},
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@@ -185,18 +161,9 @@
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+ "execution_count": 7,
"metadata": {},
"outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "INFO:pinecone_plugin_interface.logging:Discovering subpackages in _NamespacePath(['/home/tim/anaconda3/envs/climateqa/lib/python3.11/site-packages/pinecone_plugins'])\n",
- "INFO:pinecone_plugin_interface.logging:Looking for plugins in pinecone_plugins.inference\n",
- "INFO:pinecone_plugin_interface.logging:Installing plugin inference into Pinecone\n"
- ]
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"metadata": {},
"outputs": [],
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@@ -257,7 +224,7 @@
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{
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@@ -306,7 +273,7 @@
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"metadata": {},
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+ "execution_count": 10,
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@@ -355,7 +322,7 @@
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{
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- "execution_count": 53,
+ "execution_count": 11,
"metadata": {},
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{
@@ -369,15 +336,10 @@
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" Document(metadata={'chunk_type': 'text', 'document_id': 'document2', 'document_number': 2.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 2409.0, 'name': 'Full Report. In: Climate Change 2021: The Physical Science Basis. Contribution of the WGI to the AR6 of the IPCC', 'num_characters': 1010.0, 'num_tokens': 218.0, 'num_tokens_approx': 222.0, 'num_words': 167.0, 'page_number': 878, 'release_date': 2021.0, 'report_type': 'Full Report', 'section_header': '6.5 Implications of Changing Climate on AQ', 'short_name': 'IPCC AR6 WGI FR', 'source': 'IPCC', 'toc_level0': '6: Short-lived Climate Forcers', 'toc_level1': '6.5 Implications of Changing Climate on AQ', 'toc_level2': '6.5.1 Effect of Climate Change on Surface Ozone', 'toc_level3': 'N/A', 'url': 'https://report.ipcc.ch/ar6/wg1/IPCC_AR6_WGI_FullReport.pdf', 'similarity_score': 0.737111747, 'content': 'Air pollutants can be impacted by climate change through physical changes affecting meterorological conditions, chemical changes affecting their lifetimes, and biological changes affecting their natural emissions (Kirtman et al., 2013). Changes in meteorology affect air quality directly through modifications of atmospheric transport patterns (e.g., occurrence and length of atmospheric blocking episodes, ventilation of the polluted boundary layer), extent of mixing layer and stratosphere-troposphere exchange (STE) for surface ozone (von Schneidemesser et al., 2015), and through modifications of the rate of reactions that generate secondary species in the atmosphere. Changing precipitation patterns in a future climate also influence the wet removal efficiency, in particular for atmospheric aerosols (Hou et al., 2018). Processes at play in non-CO2 biogeochemical feedbacks (Section 6.4.5) are also involved in the perturbation of atmospheric pollutants (Section 6.2.2).'}, page_content='Air pollutants can be impacted by climate change through physical changes affecting meterorological conditions, chemical changes affecting their lifetimes, and biological changes affecting their natural emissions (Kirtman et al., 2013). Changes in meteorology affect air quality directly through modifications of atmospheric transport patterns (e.g., occurrence and length of atmospheric blocking episodes, ventilation of the polluted boundary layer), extent of mixing layer and stratosphere-troposphere exchange (STE) for surface ozone (von Schneidemesser et al., 2015), and through modifications of the rate of reactions that generate secondary species in the atmosphere. Changing precipitation patterns in a future climate also influence the wet removal efficiency, in particular for atmospheric aerosols (Hou et al., 2018). Processes at play in non-CO2 biogeochemical feedbacks (Section 6.4.5) are also involved in the perturbation of atmospheric pollutants (Section 6.2.2).'),\n",
" Document(metadata={'chunk_type': 'text', 'document_id': 'document5', 'document_number': 5.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 84.0, 'name': 'Technical Summary. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC', 'num_characters': 413.0, 'num_tokens': 75.0, 'num_tokens_approx': 82.0, 'num_words': 62.0, 'page_number': 11, 'release_date': 2022.0, 'report_type': 'TS', 'section_header': 'TS.B Observed Impacts', 'short_name': 'IPCC AR6 WGII TS', 'source': 'IPCC', 'toc_level0': 'TS.B Observed Impacts', 'toc_level1': 'Ecosystems and biodiversity', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://www.ipcc.ch/report/ar6/wg2/downloads/report/IPCC_AR6_WGII_TechnicalSummary.pdf', 'similarity_score': 0.730846643, 'content': 'Climate change impacts are concurrent and interact with other significant societal changes that have become more salient since AR5, including a growing and urbanising global population; significant inequality and demands for social justice; rapid technological change; continuing poverty, land and water degradation, biodiversity loss; food insecurity; and a global pandemic.\\nEcosystems and biodiversity'}, page_content='Climate change impacts are concurrent and interact with other significant societal changes that have become more salient since AR5, including a growing and urbanising global population; significant inequality and demands for social justice; rapid technological change; continuing poverty, land and water degradation, biodiversity loss; food insecurity; and a global pandemic.\\nEcosystems and biodiversity'),\n",
- " Document(metadata={'chunk_type': 'text', 'document_id': 'document6', 'document_number': 6.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 3068.0, 'name': 'Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC', 'num_characters': 413.0, 'num_tokens': 75.0, 'num_tokens_approx': 82.0, 'num_words': 62.0, 'page_number': 57, 'release_date': 2022.0, 'report_type': 'Full Report', 'section_header': 'TS.B Observed Impacts', 'short_name': 'IPCC AR6 WGII FR', 'source': 'IPCC', 'toc_level0': 'Technical Summary ', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://report.ipcc.ch/ar6/wg2/IPCC_AR6_WGII_FullReport.pdf', 'similarity_score': 0.730846643, 'content': 'Climate change impacts are concurrent and interact with other significant societal changes that have become more salient since AR5, including a growing and urbanising global population; significant inequality and demands for social justice; rapid technological change; continuing poverty, land and water degradation, biodiversity loss; food insecurity; and a global pandemic.\\nEcosystems and biodiversity'}, page_content='Climate change impacts are concurrent and interact with other significant societal changes that have become more salient since AR5, including a growing and urbanising global population; significant inequality and demands for social justice; rapid technological change; continuing poverty, land and water degradation, biodiversity loss; food insecurity; and a global pandemic.\\nEcosystems and biodiversity')],\n",
- " 'docs_images': [Document(metadata={'chunk_type': 'image', 'document_id': 'document10', 'document_number': 10.0, 'element_id': 'Picture_0_12', 'figure_code': 'N/A', 'file_size': 109.03125, 'image_path': '/dbfs/mnt/ai4sclqa/raw/climateqa/documents/document10/images/Picture_0_12.png', 'n_pages': 36.0, 'name': 'Synthesis report of the IPCC Sixth Assesment Report AR6', 'num_characters': 'N/A', 'num_tokens': 'N/A', 'num_tokens_approx': 'N/A', 'num_words': 'N/A', 'page_number': 13, 'release_date': 2023.0, 'report_type': 'SPM', 'section_header': 'N/A', 'short_name': 'IPCC AR6 SYR', 'source': 'IPCC', 'toc_level0': 'N/A', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://www.ipcc.ch/report/ar6/syr/downloads/report/IPCC_AR6_SYR_SPM.pdf', 'similarity_score': 0.716457784, 'content': 'Summary: This image provides a visual summary of the impacts of climate change on various aspects such as health, well-being, agriculture, water availability, and ecosystems. It shows the relationships between physical climate conditions altered by human influence and the consequential effects on food production, human health, and biodiversity. The visual icons depict specific areas affected by climate change, including crop production, animal and livestock health, fisheries, infectious diseases, mental health, and displacement due to extreme weather events. Additionally, it addresses the impacts on cities, settlements, and infrastructure, illustrating issues like inland flooding, storm-induced coastal damage, and damage to key economic sectors. For biodiversity, it highlights the changes occurring in terrestrial, freshwater, and ocean ecosystems. These elements are critical for understanding targeted areas for climate resilience and adaptation strategies.'}, page_content='Summary: This image provides a visual summary of the impacts of climate change on various aspects such as health, well-being, agriculture, water availability, and ecosystems. It shows the relationships between physical climate conditions altered by human influence and the consequential effects on food production, human health, and biodiversity. The visual icons depict specific areas affected by climate change, including crop production, animal and livestock health, fisheries, infectious diseases, mental health, and displacement due to extreme weather events. Additionally, it addresses the impacts on cities, settlements, and infrastructure, illustrating issues like inland flooding, storm-induced coastal damage, and damage to key economic sectors. For biodiversity, it highlights the changes occurring in terrestrial, freshwater, and ocean ecosystems. These elements are critical for understanding targeted areas for climate resilience and adaptation strategies.'),\n",
- " Document(metadata={'chunk_type': 'image', 'document_id': 'document14', 'document_number': 14.0, 'element_id': 'Picture_0_14', 'figure_code': 'N/A', 'file_size': 72.3505859375, 'image_path': '/dbfs/mnt/ai4sclqa/raw/climateqa/documents/document14/images/Picture_0_14.png', 'n_pages': 34.0, 'name': 'Technical Summary. In: IPCC Special Report on the Ocean and Cryosphere in a Changing Climate', 'num_characters': 'N/A', 'num_tokens': 'N/A', 'num_tokens_approx': 'N/A', 'num_words': 'N/A', 'page_number': 15, 'release_date': 2019.0, 'report_type': 'TS', 'section_header': 'N/A', 'short_name': 'IPCC SR OC TS', 'source': 'IPCC', 'toc_level0': 'N/A', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://www.ipcc.ch/site/assets/uploads/sites/3/2022/03/02_SROCC_TS_FINAL.pdf', 'similarity_score': 0.70854187, 'content': 'Summary: The image illustrates the cascading effects of climate change on ocean systems, starting from the attribution of greenhouse gases, followed by physical changes such as temperature rise, oxygen level changes, ocean pH shifts, sea ice extent reduction, and sea level rise. It further shows the impact on various ecosystems, including upper water column, coral reefs, coastal wetlands, kelp forests, rocky shores, the deep sea, polar benthos, and sea ice-associated regions. Finally, it delineates the consequences on human systems and ecosystem services like fisheries, tourism, habitat services, transportation/shipping, cultural services, and coastal carbon sequestration. This schematic representation emphasizes the interconnectivity between climate change drivers, oceanic responses, and socio-economic impacts. (Caption included: Eastern Boundary Upwelling Systems, such as the Benguela Current, Canary Current, California Current, and Humboldt Current.)'}, page_content='Summary: The image illustrates the cascading effects of climate change on ocean systems, starting from the attribution of greenhouse gases, followed by physical changes such as temperature rise, oxygen level changes, ocean pH shifts, sea ice extent reduction, and sea level rise. It further shows the impact on various ecosystems, including upper water column, coral reefs, coastal wetlands, kelp forests, rocky shores, the deep sea, polar benthos, and sea ice-associated regions. Finally, it delineates the consequences on human systems and ecosystem services like fisheries, tourism, habitat services, transportation/shipping, cultural services, and coastal carbon sequestration. This schematic representation emphasizes the interconnectivity between climate change drivers, oceanic responses, and socio-economic impacts. (Caption included: Eastern Boundary Upwelling Systems, such as the Benguela Current, Canary Current, California Current, and Humboldt Current.)'),\n",
- " Document(metadata={'chunk_type': 'image', 'document_id': 'document14', 'document_number': 14.0, 'element_id': 'Picture_1_14', 'figure_code': 'N/A', 'file_size': 58.65234375, 'image_path': '/dbfs/mnt/ai4sclqa/raw/climateqa/documents/document14/images/Picture_1_14.png', 'n_pages': 34.0, 'name': 'Technical Summary. In: IPCC Special Report on the Ocean and Cryosphere in a Changing Climate', 'num_characters': 'N/A', 'num_tokens': 'N/A', 'num_tokens_approx': 'N/A', 'num_words': 'N/A', 'page_number': 15, 'release_date': 2019.0, 'report_type': 'TS', 'section_header': 'N/A', 'short_name': 'IPCC SR OC TS', 'source': 'IPCC', 'toc_level0': 'N/A', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://www.ipcc.ch/site/assets/uploads/sites/3/2022/03/02_SROCC_TS_FINAL.pdf', 'similarity_score': 0.699624538, 'content': 'Summary and Explanation: The image presents a structured overview of the impacts of climate change on high mountain and polar land regions, organized into three categories: Physical Changes, Ecosystems, and Human Systems and Services. It details how changes in the cryosphere—such as glaciers and ice sheets—affect water availability, increase natural hazards like floods, landslides, and avalanches, alter ecosystems (tundra, forest, lakes/ponds, and rivers/streams), and ultimately impact human activities such as tourism, agriculture, infrastructure, and cultural services. The illustration emphasizes the attribution of these changes to climate dynamics. Migration is noted specifically, implying changes in human population movements as a result of cryospheric changes.'}, page_content='Summary and Explanation: The image presents a structured overview of the impacts of climate change on high mountain and polar land regions, organized into three categories: Physical Changes, Ecosystems, and Human Systems and Services. It details how changes in the cryosphere—such as glaciers and ice sheets—affect water availability, increase natural hazards like floods, landslides, and avalanches, alter ecosystems (tundra, forest, lakes/ponds, and rivers/streams), and ultimately impact human activities such as tourism, agriculture, infrastructure, and cultural services. The illustration emphasizes the attribution of these changes to climate dynamics. Migration is noted specifically, implying changes in human population movements as a result of cryospheric changes.'),\n",
- " Document(metadata={'chunk_type': 'image', 'document_id': 'document5', 'document_number': 5.0, 'element_id': 'Picture_1_11', 'figure_code': 'Figure TS.3', 'file_size': 224.412109375, 'image_path': '/dbfs/mnt/ai4sclqa/raw/climateqa/documents/document5/images/Picture_1_11.png', 'n_pages': 84.0, 'name': 'Technical Summary. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC', 'num_characters': 'N/A', 'num_tokens': 'N/A', 'num_tokens_approx': 'N/A', 'num_words': 'N/A', 'page_number': 12, 'release_date': 2022.0, 'report_type': 'TS', 'section_header': 'N/A', 'short_name': 'IPCC AR6 WGII TS', 'source': 'IPCC', 'toc_level0': 'TS.B Observed Impacts', 'toc_level1': 'Ecosystems and biodiversity', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://www.ipcc.ch/report/ar6/wg2/downloads/report/IPCC_AR6_WGII_TechnicalSummary.pdf', 'similarity_score': 0.693654299, 'content': 'Summary: This figure represents observed impacts of climate change on various human systems, categorized by region and type. It provides a matrix summarizing the effects on water scarcity, food production including agriculture, livestock, and fisheries, as well as health and wellbeing impacts such as disease, nutrition, mental health, and displacement. Additionally, it considers climate change implications for urban areas, including flooding and infrastructure damage, and economic sectors. Each impact is accompanied by a symbol indicating whether the effect is increasing (positive or adverse), decreasing, mixed, or not assessed. The graphic facilitates a comparison across different geographical areas, from global scale to specific regions like Africa, Asia, and the Arctic, acknowledging the variable levels of confidence in attributing these impacts directly to climate change.'}, page_content='Summary: This figure represents observed impacts of climate change on various human systems, categorized by region and type. It provides a matrix summarizing the effects on water scarcity, food production including agriculture, livestock, and fisheries, as well as health and wellbeing impacts such as disease, nutrition, mental health, and displacement. Additionally, it considers climate change implications for urban areas, including flooding and infrastructure damage, and economic sectors. Each impact is accompanied by a symbol indicating whether the effect is increasing (positive or adverse), decreasing, mixed, or not assessed. The graphic facilitates a comparison across different geographical areas, from global scale to specific regions like Africa, Asia, and the Arctic, acknowledging the variable levels of confidence in attributing these impacts directly to climate change.'),\n",
- " Document(metadata={'chunk_type': 'image', 'document_id': 'document5', 'document_number': 5.0, 'element_id': 'Picture_0_24', 'figure_code': 'Figure TS.4', 'file_size': 222.9453125, 'image_path': '/dbfs/mnt/ai4sclqa/raw/climateqa/documents/document5/images/Picture_0_24.png', 'n_pages': 84.0, 'name': 'Technical Summary. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC', 'num_characters': 'N/A', 'num_tokens': 'N/A', 'num_tokens_approx': 'N/A', 'num_words': 'N/A', 'page_number': 25, 'release_date': 2022.0, 'report_type': 'TS', 'section_header': 'N/A', 'short_name': 'IPCC AR6 WGII TS', 'source': 'IPCC', 'toc_level0': 'TS.C Projected Impacts and Risks', 'toc_level1': 'Ecosystems and biodiversity', 'toc_level2': 'Food systems and food security', 'toc_level3': 'N/A', 'url': 'https://www.ipcc.ch/report/ar6/wg2/downloads/report/IPCC_AR6_WGII_TechnicalSummary.pdf', 'similarity_score': 0.693352699, 'content': 'Summary: This image visualizes the projected impacts of global warming on various regional environmental and socio-economic factors, ranging from food production and biodiversity to mortality rates and infrastructure. It uses a color gradient to illustrate the levels of impact and risk across different global surface temperature increases, from the pre-industrial period baseline up to a 5-degree Celsius change. The diverse set of indicators includes agriculture in Africa, health and coastal flooding in Europe, coral reef conditions in Australasia, tourism in North America, and ice-dependent ecosystems in polar regions. This comprehensive assessment aids in understanding the potential regional risks associated with climate change.'}, page_content='Summary: This image visualizes the projected impacts of global warming on various regional environmental and socio-economic factors, ranging from food production and biodiversity to mortality rates and infrastructure. It uses a color gradient to illustrate the levels of impact and risk across different global surface temperature increases, from the pre-industrial period baseline up to a 5-degree Celsius change. The diverse set of indicators includes agriculture in Africa, health and coastal flooding in Europe, coral reef conditions in Australasia, tourism in North America, and ice-dependent ecosystems in polar regions. This comprehensive assessment aids in understanding the potential regional risks associated with climate change.')]}"
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]
},
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+ "execution_count": 11,
"metadata": {},
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}
@@ -388,7 +350,7 @@
},
{
"cell_type": "code",
- "execution_count": 54,
+ "execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
@@ -413,7 +375,7 @@
},
{
"cell_type": "code",
- "execution_count": 57,
+ "execution_count": 13,
"metadata": {},
"outputs": [
{
@@ -433,7 +395,7 @@
" Document(metadata={'chunk_type': 'text', 'document_id': 'document6', 'document_number': 6.0, 'element_id': 'N/A', 'figure_code': 'N/A', 'file_size': 'N/A', 'image_path': 'N/A', 'n_pages': 3068.0, 'name': 'Full Report. In: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of the WGII to the AR6 of the IPCC', 'num_characters': 413.0, 'num_tokens': 75.0, 'num_tokens_approx': 82.0, 'num_words': 62.0, 'page_number': 57, 'release_date': 2022.0, 'report_type': 'Full Report', 'section_header': 'TS.B Observed Impacts', 'short_name': 'IPCC AR6 WGII FR', 'source': 'IPCC', 'toc_level0': 'Technical Summary ', 'toc_level1': 'N/A', 'toc_level2': 'N/A', 'toc_level3': 'N/A', 'url': 'https://report.ipcc.ch/ar6/wg2/IPCC_AR6_WGII_FullReport.pdf', 'similarity_score': 0.730846643, 'content': 'Climate change impacts are concurrent and interact with other significant societal changes that have become more salient since AR5, including a growing and urbanising global population; significant inequality and demands for social justice; rapid technological change; continuing poverty, land and water degradation, biodiversity loss; food insecurity; and a global pandemic.\\nEcosystems and biodiversity', 'reranking_score': 0.9791502356529236, 'query_used_for_retrieval': 'What is the impact of climate change on the environment?'}, page_content='Climate change impacts are concurrent and interact with other significant societal changes that have become more salient since AR5, including a growing and urbanising global population; significant inequality and demands for social justice; rapid technological change; continuing poverty, land and water degradation, biodiversity loss; food insecurity; and a global pandemic.\\nEcosystems and biodiversity')]"
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},
- "execution_count": 57,
+ "execution_count": 13,
"metadata": {},
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}
@@ -456,19 +418,12 @@
},
{
"cell_type": "code",
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+ "execution_count": 18,
"metadata": {},
"outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "---- Translate query ----\n"
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- },
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",
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]