Sold by: Pittcps lab
Open data
|
Deployed on AWS
A carbon question-answering (QA) dataset specifically designed to facilitate the extraction and analysis of data from real-world carbon reports of computing products. The dataset features annotated metadata, a variety of numerical reasoning tasks, and structured derivations to ensure accurate processing of fragmented and inconsistent information.
Overview
A carbon question-answering (QA) dataset specifically designed to facilitate the extraction and analysis of data from real-world carbon reports of computing products. The dataset features annotated metadata, a variety of numerical reasoning tasks, and structured derivations to ensure accurate processing of fragmented and inconsistent information.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
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.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- A component-level product carbon footprint dataset and a corresponding question-answering dataset based on it
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::carbonpdf
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://carbonpdf/
Resources
Vendor resources
Support
Contact
Managed By
Pittcps lab
How to cite
CarbonPDF was accessed on DATE from https://registry.opendata.aws/carbonpdf .
License
CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/ )
Similar products
Carbone is the most efficient document generation engine. Turn any JSON data into PDF, DOCX, XLSX, PPTX and more using Microsoft Office or LibreOffice templates. Deploy on your own AWS infrastructure and keep full control over your data.
pdfRest API Toolkit delivers powerful, secure, and scalable PDF processing, developed by the document experts at Datalogics.
With dozens of flexible API endpoints, it supports document conversion, editing, security controls, data extraction, redaction, XFA forms and Acroform handling, PDF to Office exports, and more. Easily integrate into any application or workflow to automate bulk, batch, and real-time document processing with full control via a dedicated EC2-based REST API.
Built on the Adobe® PDF Library™ - the same core technology that powers Adobe Acrobat - pdfRest offers the gold-standard solution for high-quality, customizable PDF automation trusted by developers and enterprises worldwide.
ClearLayers.Ai protects sensitive information and maintain regulatory compliance with our high-performance PDF Redaction API. Unlike simple text-replacement tools, our engine preserves the structural integrity of your PDF while permanently "burning in" black-out redactions over sensitive data.
The DynamicPDF API (Self-Hosted) is a RESTful API that allows everything from PDF creation, merging, and modification to converting images to PDFs, extracting metadata from PDFs, and much more.