cjber commited on
Commit
bb38ff3
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1 Parent(s): a237ed2

fix: adjsut prompts

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planning_ai/chains/prompts/map.txt CHANGED
@@ -2,6 +2,9 @@ You have been provided with a response to a policy document, known as a represen
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  Provide a concise summary of the representation, highlighting the main points and any significant details. If the representation makes direct reference to the content of the policy document, please include a reference to the relevant section. If the document does not provide any information, or refers only to a document that you do not have access to, state this, and do not make assumptions.
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  **Always use British English**
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  Response:
 
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  Provide a concise summary of the representation, highlighting the main points and any significant details. If the representation makes direct reference to the content of the policy document, please include a reference to the relevant section. If the document does not provide any information, or refers only to a document that you do not have access to, state this, and do not make assumptions.
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+ **Do not infer information that is not provided in the representation.**
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+ **Do not assume you know what any acronyms or abbreviations stand for.**
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  **Always use British English**
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  Response:
planning_ai/documents/introduction.txt CHANGED
@@ -2,6 +2,6 @@ This report was produced using a generative pre-trained transformer (GPT) large-
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  The document is structured to first consolidate all information gathered from the representations to produce a single-page executive summary. This highlights areas of particular interest to consider, and the broad consensus specified by those giving the representations.
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- The postcode location for the member of the public or organisation who submitted a representation are used to produce a map, showing the frequency of the representations by Ward within the Greater Cambridgeshire area. Representations from outside of this area are listed rather than mapped. The postcodes enable a link to the Index of Multiple Deprivation and a geodemographic (Output Area Classification) to create graphs showing how the frequency of representations varies by areas that have different socio-economic and demographic characteristics.
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  The document then presents a summary of information from the responses, grouped by each Theme and Policy as they appear in the Greater Cambridgeshire local plan. In this section we incorporate citations which relate with the ‘Summary Responses’ document, to increase transparency.
 
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  The document is structured to first consolidate all information gathered from the representations to produce a single-page executive summary. This highlights areas of particular interest to consider, and the broad consensus specified by those giving the representations.
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+ The postcode location for the member of the public or organisation who submitted a representation is used to produce a map, showing the frequency of the representations by Ward within the Greater Cambridgeshire area. Representations from outside this area are listed rather than mapped. The postcodes enable a link to the Index of Multiple Deprivation and a geodemographic (Output Area Classification) to create graphs showing how the frequency of representations varies by areas that have different socio-economic and demographic characteristics.
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  The document then presents a summary of information from the responses, grouped by each Theme and Policy as they appear in the Greater Cambridgeshire local plan. In this section we incorporate citations which relate with the ‘Summary Responses’ document, to increase transparency.
planning_ai/documents/summary_intro.txt CHANGED
@@ -1,4 +1,4 @@
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- This document provides a summary of each representation. A Representation ID is provided which corresponds with the ID column in the .json JDi files. A representation contains both a text submission and optionally an attachment which can take varying forms. The tool processes text data only, so does not process images such as photographs, although these can be explored in the original representations submitted. For representations with attachments that are not considered by this summary, these are listed at the end of the report.
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  Every attachment is split into separate pages for processing, with each page given a Part ID. As such, attachments that have been split by pages into multiple Part IDs will share the same Representations ID. This specification of both Representation ID and Part ID allows the user to link the produced summaries back to the original documents.
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+ This document provides a summary of each representation received on this public consultation. A Representation ID is provided which corresponds with the ID column in the .json JDi files. A representation contains both a text submission and optionally an attachment which can take varying forms. The tool processes text data only, so does not process images such as photographs, although these can be explored in the original representations submitted. For representations with attachments that are not considered by this summary, these are listed at the end of the report.
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  Every attachment is split into separate pages for processing, with each page given a Part ID. As such, attachments that have been split by pages into multiple Part IDs will share the same Representations ID. This specification of both Representation ID and Part ID allows the user to link the produced summaries back to the original documents.
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planning_ai/documents/themes.txt CHANGED
@@ -1,3 +1,3 @@
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- The following section provides a detailed breakdown of notable details from the **representations**, grouped by the **Themes and Policies** set out in the **Greater Cambridgeshire Local Plan**. Both the Themes and associated Policies are automatically determined through an analysis of the summary content by an LLM agent. Each Theme is organised according to whether representations were specified as supportive, opposed, or provide a general comment.
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- This section offers a comprehensive overview of those key issues raised by members of the public or organisations with respect to sections of the consultation document. We have incorporated citations into each point (see numbers in square brackets) to indicate the specific part^[Each representation can be a text entry and optionally a further attached piece of evidence. Attachments are split into pages, and along with the text entry are referred to here as a "part". Each representation can therefore comprise multiple parts, which are given a Part ID. These can be cross referenced to the Summaries of Public Submissions report.] of the representation where points were made, thereby promoting transparency of sources. Finally, Table 1 provides a breakdown of the number of submissions that relate to each Theme (noting that submissions may be associated with more than one Theme).
 
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+ The following section provides a detailed breakdown of notable details from the representations, grouped by the sections of the consultation document. The content is automatically determined through an analysis of the “Summaries of Public Submissions” report by an LLM agent. This is organised according to whether representations were specified as supportive, opposed, or providing a general comment.
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+ This section offers a comprehensive overview of those key issues raised by members of the public or organisations with respect to sections of the consultation document. We have incorporated citations (see numbers in square brackets) to indicate the specific Part^[Each representation can be a text entry and optionally a further attached piece of evidence. Attachments are split into pages, and along with the text entry are referred to here as a "part". Each representation can therefore comprise multiple parts, which are given a Part ID. These can be cross referenced to the Summaries of Public Submissions report.] of the representation where points were made, thereby promoting transparency of sources. Finally, Table 2 provides a breakdown of the number of submissions that relate to each sections of the consultation document (noting that submissions may be associated with more than one section).