# TRACE data generation config
# Controls per-area example counts, split ratios, and the global seed.

seed: 42
output_dir: data/splits

# Per-area generation counts and enabled flags.
# Total target: ~3,500 examples (train + valid + curation-pool sums).
areas:
  dtt:
    enabled: true
    n: 800
    description: "DTT teaching programs — array-based discrete-response skills."
  net:
    enabled: true
    n: 500
    description: "NET teaching programs — motivation-based naturalistic teaching."
  task_analysis:
    enabled: true
    n: 500
    description: "Task Analysis / Chaining — multi-step routines (AFLS)."
  fct:
    enabled: false
    n: 300
    description: "FCT — replacement-behavior programs paired with deceleration targets."
  bst:
    enabled: false
    n: 200
    description: "BST — staff-facing training programs."
  prt:
    enabled: false
    n: 300
    description: "PRT — pivotal-behavior programs."
  session_interpretation:
    enabled: true
    n: 1200
    description: "Task 2 — behavioral session interpretation (paper's innovation task)."

# Split ratios applied after all enabled areas generate
# test + sanity are NOT generated here — they're curated by the user from curation_pool
splits:
  train: 0.85
  valid: 0.05
  curation_pool: 0.10    # user reviews this pool and curates test.jsonl + sanity.jsonl