Sold by: S&P Global Energy
Deployed on AWS
The AI Ready Data dataset encompasses a comprehensive array of textual content across Energy publications produced by in-house editorial and research teams, including market reports, news articles, rationales, commentaries, fundamentals analyses, outlooks, and more - all in an LLM-friendly format prepared for seamless integration with AI systems.
Overview
The offer comprises a sample data set containing approximately 100 dated records
The AI Ready Data dataset encompasses a comprehensive array of textual content across Energy publications produced by in-house editorial and research teams, including market reports, news articles, rationales, commentaries, fundamentals analyses, outlooks, and more - all in an LLM-friendly format prepared for seamless integration with AI systems.
Customers can effortlessly leverage AI Ready Data for their Retrieval-Augmented Generation (RAG) solutions, enhancing their analytical capabilities and driving informed decision-making. This dataset removes restrictions as you integrate your choice of large language models (LLMs), to uncover patterns, correlations, and insights across commodities. Our flexibility aids processing and understanding data to suit your organizations, and you can utilize the provided data embeddings or set your own as per your preference. Additionally, you can integrate with your own vector database and leverage various internal and external data sources to enrich the dataset.
This dataset includes:
- Unstructured data in an AI-ready format broken down into documents and segments with LLM-friendly metadata
- Flexible data delivery
- Easy customization of your own search and relevancy-boosting algorithms
- Ease of discovery of relevant content for your end users
Sample Fields:
DOCUMENT_METADATA
PUBLISHED
UPDATED
FILETYPE
FILESIZE
SOURCEURL
REPORTINGFREQUENCY
PRIMARYENTITYTYPE
PRIMARYENTITYNAME
DOCUMENT_PRIMARY_ENTITY_IDF
OTHERDOCUMENTMETADATA
SEGMENT_METADATA
DOCUMENTID
SEGMENTATIONSTRATEGY
SEGMENTID
SEGMENTTYPE
SEGMENTLOCATION
RAWSEGMENTCONTENT
PROCESSEDSEGMENTCONTENT
LANGUAGE
SEGMENTOVERLAP
OTHERSEGMENTMETADATA
SEGMENTEMBEDDINGS
SEGMENTORDER
Tables:
DOCUMENT_METADATA
Contains metadata about various documents such as id, name, file type, size, sourceURL, and reportingFrequency. Additionally, it includes related tags like primary entity, commodity, geography, and any additional metadata that helps in identifying the document.
SEGMENT_METADATA
Contains chunked segments from documents along with metadata such as related document id, segment id, type, location, along with the processed and raw content of the segment. Additionally, it contains information on the segmentation strategy used to chunk the data and the embedding ids for each segment.
Highlights
- Machine Learning Leverage AI Ready data from Energy as a RAG solution.
- Pricing Analysis Uncover insights into pricing assessments using information from assessment summaries, market commentaries, and rationales.
- Sentiment Analysis Perform sentiment analysis on News articles leveraging dedicated libraries.
Details
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Deployed on AWS
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Vendor refund policy
Refunds are not offered for this product.
Legal
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Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
ai-ready-data-cet | All historical revisions | All future revisions | Not included | Not included |
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