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.
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1Board composition as at 231 December 20233Gender breakdown as at 431 December 20235Gender split of direct reports to the 6Executive Committee7Board composition8Gender split of Group employees9Board gender diversity10Board tenure11Female12Male13Total14371543168017Chairman18Executive directors19Non-executive 20directors21122223624Female25Male264275280-3 years293-6 years306+ years31532333134Board skills and experience3570%36Media37Skill Number of directors38Digital transformation39Strategy and business40planning41Accounting and finance42People and talent43Sustainability/ESG44Technology/IT45Digital marketing/advertising46Data analytics4790%4890%4940%5090%5160%5240%5330%5440%55Board skills evaluation56The broad range of skills, experience and diversity of the Board that are relevant to Reach’s 57strategy and business are illustrated above. This represents where the Board as at 5 March 582024 considers they have considerable or expert knowledge in the listed area.59Nomination Committee Report continued6063.7% (93) 36.3% (53)6133.3% (3)66.7% (6)6261.0% (2,167) 39.0% (1,384)63Female64Male651,440662,26667Executive Committee68Senior managers 69Other 709271Reach plc Annual Report 2023Strategic Report Governance Financial Statements Other Information