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AmazonScience/document-haystack

Document Haystack Dataset This repository contains the dataset for the paper “Document Haystack: A Long Context Multimodal Image/Document Understanding Vision LLM Benchmark”. 📑 Abstract Paper The proliferation of multimodal Large Language Models has significantly advanced the ability to analyze and understand complex data inputs from different modalities. However, the processing of long documents remains under-explored, largely due to a lack of suitable… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/document-haystack.

sourceHugging Faceupdated 1y agoView on Hugging Face
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Reach_75Pages_TextNeedles_page_53.txt79 linesDownload Raw Back to Text_TextNeedles
1Responsible business continued2Protecting our environment3Targets and metrics42023 Target Progress in 2023 2024+ Target5Environmental management continued6This is a new target n/a To have our GHG emissions data 7independently verified.8This is a new target n/a To develop the Group’s Sustainability Report.9Supply chain10We aim to use 100% graphic paper (all newsprint 11and magazine paper grades) manufactured 12from fibre using recycled materials or wood 13from certified sustainable forests. We commit 14to achieving at least 95% recycled materials 15or wood from certified sustainable forests. 16Achieved 17Achieved 97.28% graphic paper 18using recycled materials or wood 19from certified sustainable forests, and 20we continued to work with suppliers to 21maximise this. 22We aim to use 100% graphic paper (all newsprint and 23magazine paper grades) manufactured from fibre 24using recycled materials or wood from certified 25sustainable forests. We commit to achieving at 26least 95% recycled materials or wood from 27certified sustainable forests.28This is a new target n/a We aim to identify and engage with our top 20 29suppliers by GHG emissions, aiming to reduce our 30Scope 3 emissions associated with them.31Waste and water 32We will reduce our Volatile Organic Compound 33(VOC) emissions annually versus the 34previous year.35Achieved 64.2% reduction from 2022. We will reduce our VOC emissions annually versus 36the previous year.37Maximum of 3% of hazardous waste generated at 38print sites under our ownership to go to landfill.39Achieved 1.32% for 2023. Maximum of 3% of hazardous waste generated at 40print sites under our ownership to go to landfill.41Biodiversity42This is a new target n/a We will carry out an internal review aiming to better 43understand our impact on biodiversity. 44Targets and metrics45Environmental performance data46Energy consumption and greenhouse gas 47(GHG) emissions tonnes Carbon Dioxide 48equivalent (tCo2e)49Methodology50As a large, quoted organisation, Reach plc 51is required to report its UK energy use and 52carbon emissions based on the Environmental 53Reporting Guidelines, including mandatory 54greenhouse gas emissions reporting guidance 55(March 2019) issued by the then Department 56for Business, Energy & Industrial Strategy (BEIS). 57Reach’s methodology is consistent with the 58World Resources Institute’s Greenhouse Gas 59Protocol Corporate Accounting and Reporting 60Standard. The data detailed in this table 61represents emissions and energy use for 62which Reach is responsible, including Scope 1 63emissions (fuels, refrigerants, natural gas and 64company car usage), Scope 2, electricity 65purchased by Reach during the reporting 66period, and Scope 3; all other emissions are 67from Reach’s supply chain.68Our offices outside the UK are leased. These 69figures are included in the Scope 3 emissions 70table. We have used the main requirements 71of the Greenhouse Gas Protocol Corporate 72Standard to calculate our emissions, along 73with the UK Government GHG Conversion 74Factors for Company Reporting 2022. Data 75was collected internally within Reach and 76includes actual data from invoices from  77our sites.785179Reach plc Annual Report 2023Strategic Report Governance Financial Statements Other Information
AmazonScience/document-haystack · CoolFace