# Model Documentation Evaluation Template

# Metadata
model_name: "Nova 2 Lite"
model_link: "https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-amazon-nova-2-lite.html"
organization: "Amazon"
org_link: "https://www.amazon.com/"
evaluation_date: ""
public_summary_link: "https://docs.aws.amazon.com/ai/responsible-ai/nova-2-lite/overview.html" 
public_summary_date: "2026-07-27"
public_summary_location: "https://docs.aws.amazon.com/ai/responsible-ai/nova-2-lite/overview.html"
model_publication_date: "2025-12-02"
category: "New model" # New model, fine-tuned model
archive_file_name: "Nova_2_Lite_2026_08_03.pdf"

# Requirement assessments
# Each requirement should be assessed once with a score from 0-10
# Leave blank for N/A, and assign a max score of 0
S1: # Document-level requirements
  D1: # Clarity
    score: 9
    max_score: 10
    notes: ""

  D2: # Completeness
    score: 4
    max_score: 4
    notes: ""

  D3: # Consistency
    score: 7
    max_score: 7
    notes: ""

  D4: # Correctness
    score: 3
    max_score: 5
    notes: ""

  D5: # Accessibility
    score: 10
    max_score: 10
    notes: ""

  D6: # Comprehension
    score: 6
    max_score: 9
    notes: ""

S2: # General information
  D1: # Clarity
    score: 28
    max_score: 42
    notes: ""

  D2: # Completeness
    score: 62
    max_score: 74
    notes: ""

  D3: # Consistency
    score: 8
    max_score: 8
    notes: ""

  D4: # Correctness
    score: 22
    max_score: 22
    notes: ""

  D5: # Accessibility
    score: 5
    max_score: 5
    notes: ""

  D6: # Comprehension
    score: 11
    max_score: 11
    notes: ""

S3: # Public datasets
  D1: # Clarity
    score: 32
    max_score: 92
    notes: ""

  D2: # Completeness
    score: 68
    max_score: 124
    notes: ""

  D3: # Consistency
    score: 3
    max_score: 3
    notes: ""

  D4: # Correctness
    score: 20
    max_score: 20
    notes: ""

  D5: # Accessibility
    score: 0
    max_score: 20
    notes: ""

  D6: # Comprehension
    score: 16
    max_score: 16
    notes: ""

S4: # Private datasets
  D1: # Clarity
    score: 32
    max_score: 32
    notes: ""

  D2: # Completeness
    score: 56
    max_score: 88
    notes: ""

  D3: # Consistency
    score: 3
    max_score: 3
    notes: ""

  D4: # Correctness
    score: 24
    max_score: 24
    notes: ""

  D5: # Accessibility
    score: 0
    max_score: 0
    notes: ""

  D6: # Comprehension
    score: 16
    max_score: 16
    notes: ""

S5: # Scraped/crawled data
  D1: # Clarity
    score: 129
    max_score: 129
    notes: ""

  D2: # Completeness
    score: 94
    max_score: 158
    notes: ""

  D3: # Consistency
    score: 3
    max_score: 3
    notes: ""

  D4: # Correctness
    score: 68
    max_score: 93
    notes: ""

  D5: # Accessibility
    score: 0
    max_score: 25
    notes: ""

  D6: # Comprehension
    score: 33
    max_score: 58
    notes: ""

S6: # User data
  D1: # Clarity
    score: 0
    max_score: 15
    notes: ""

  D2: # Completeness
    score: 11
    max_score: 26
    notes: ""

  D3: # Consistency
    score: 3
    max_score: 3
    notes: ""

  D4: # Correctness
    score: 11
    max_score: 11
    notes: ""

  D5: # Accessibility
    score: 15
    max_score: 15
    notes: ""

  D6: # Comprehension
    score: 0
    max_score: 15
    notes: ""

S7: # Synthetic & other
  D1: # Clarity
    score: 53
    max_score: 65
    notes: ""

  D2: # Completeness
    score: 23
    max_score: 47
    notes: ""

  D3: # Consistency
    score: 6
    max_score: 6
    notes: ""

  D4: # Correctness
    score: 47
    max_score: 47
    notes: ""

  D5: # Accessibility
    score: 17
    max_score: 17
    notes: ""

  D6: # Comprehension
    score: 0
    max_score: 12
    notes: ""

S8: # Data processing
  D1: # Clarity
    score: 18
    max_score: 18
    notes: ""

  D2: # Completeness
    score: 3
    max_score: 18
    notes: ""

  D3: # Consistency
    score: 3
    max_score: 3
    notes: ""

  D4: # Correctness
    score: 36
    max_score: 36
    notes: ""

  D5: # Accessibility
    score: 15
    max_score: 15
    notes: ""

  D6: # Comprehension
    score: 51
    max_score: 69
    notes: ""


general_notes: "The public summary for Nova 2 Lite can be found <a href=\"https://docs.aws.amazon.com/ai/responsible-ai/nova-2-lite/overview.html\" target=\"_blank\"> on AWS's AI Service Card</a>. The summary mostly matches the structure of the template, however does not include an explicitly-enumerated list of large publicly available datasets, and contains general descriptions of data which lack sufficient detail to match the standards encouraged by the template. We assessed the summary's score to be <span class=\"openness partial\">71.01%</span> with Grade <strong>C+</strong> for <strong><i>transparency</i></strong>, and <span class=\"openness partial\">61.34%</span> with Grade <strong>C+</strong> for <strong><i>usefulness</i></strong>."