# Model Documentation Evaluation Template

# Metadata
model_name: "Inkling Small"
model_link: "https://huggingface.co/thinkingmachines/Inkling-Small"
organization: "Thinking Machines"
org_link: "https://thinkingmachines.ai/"
evaluation_date: "2026-07-20"
public_summary_link: "https://thinkingmachines.ai/training-data-documentation/" 
public_summary_date: "2026-07-30"
public_summary_location: "https://thinkingmachines.ai/training-data-documentation/"
model_publication_date: "2026-07-30"
category: "New model" # New model, fine-tuned model
archive_file_name: "Inkling_Small_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: 11
    notes: ""

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

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

  D4: # Correctness
    score: 3.5
    max_score: 5
    notes: ""

  D5: # Accessibility
    score: 7
    max_score: 10
    notes: ""

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

S2: # General information
  D1: # Clarity
    score: 17
    max_score: 37
    notes: ""

  D2: # Completeness
    score: 60
    max_score: 78
    notes: ""

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

  D4: # Correctness
    score: 13
    max_score: 13
    notes: ""

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

  D6: # Comprehension
    score: 14
    max_score: 14
    notes: ""

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

  D2: # Completeness
    score: 48
    max_score: 92
    notes: ""

  D3: # Consistency
    score: 23
    max_score: 23
    notes: ""

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

  D5: # Accessibility
    score: 20
    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: 72
    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: 77
    max_score: 114
    notes: ""

  D2: # Completeness
    score: 82
    max_score: 158
    notes: ""

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

  D4: # Correctness
    score: 46
    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: 0
    notes: ""

  D2: # Completeness
    score: 8
    max_score: 8
    notes: ""

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

  D4: # Correctness
    score: 8
    max_score: 8
    notes: ""

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

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

S7: # Synthetic & other
  D1: # Clarity
    score: 29
    max_score: 65
    notes: ""

  D2: # Completeness
    score: 35
    max_score: 47
    notes: ""

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

  D4: # Correctness
    score: 41
    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: 18
    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 Inkling Small can be found <a href=\"https://thinkingmachines.ai/training-data-documentation/\" target=\"_blank\"> on the Thinking Machines site</a>. It is structurally nearly identical to the summary for Inkling. The summary matches the structure of the template, with points being lost primarily due to providing high-level information where more detailed information is encouraged. We assessed the summary's score to be <span class=\"openness partial\">67.74%</span> with Grade <strong>C+</strong> for <strong><i>transparency</i></strong>, and <span class=\"openness partial\">69.93%</span> with Grade <strong>C+</strong> for <strong><i>usefulness</i></strong>."