# Model Documentation Evaluation Template

# Metadata
model_name: "Phi-3"
model_link: "https://huggingface.co/microsoft/Phi-3-small-128k-instruct"
organization: "Microsoft"
org_link: "https://microsoft.com/"
evaluation_date: ""
public_summary_link: "https://huggingface.co/microsoft/Phi-3-small-128k-instruct/blob/main/data_summary_card.md" 
public_summary_date: "2025-12-10"
public_summary_location: "https://huggingface.co/microsoft/Phi-3-small-128k-instruct"
model_publication_date: "2024-05-02"
category: "New model" # New model, fine-tuned model
archive_file_name: "Phi3_2026_09_11.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: 
    max_score: 
    notes: ""

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


general_notes: ""