dataset_upload/configs/eval_conditions.yaml

# Evaluation condition registry (spec sections 2.3, 8, 9, 10).
#
# The per-query booleans use_for_main_forward / use_for_reverse_analysis /
# use_for_recognition_analysis are DERIVED from this file, so a downstream
# aggregation never has to hard-code which conditions belong in which average.
#
# Spec 2.3 / 16: recognition and reverse_illposed must never enter the main
# forward aggregation, and reverse is reported separately because it changes
# the target slot from object to subject.

conditions:
  anchor:
    role: main
    target_slot: object
    is_assisted: false
    is_well_posed: true
    use_for_main_forward: true
    use_for_reverse_analysis: false
    use_for_recognition_analysis: false
    expected_queries: 2592
    expected_facts: 2592
    description: >
      The canonical qualification question itself. Shares the prompt string with
      the anchor qualification run, so per-condition retention is measured
      against a real measured baseline rather than an assumed 1.0.

  paraphrase:
    role: main
    target_slot: object
    is_assisted: false
    is_well_posed: true
    use_for_main_forward: true
    use_for_reverse_analysis: false
    use_for_recognition_analysis: false
    expected_queries: 10053
    expected_facts: 2592
    migrated_from: queryA_canonical
    description: >
      Lexical and syntactic rewording, same fact and same target slot.

  format:
    role: main
    target_slot: object
    is_assisted: false
    is_well_posed: true
    use_for_main_forward: true
    use_for_reverse_analysis: false
    use_for_recognition_analysis: false
    expected_queries: 7776
    expected_facts: 2592
    migrated_from: queryB_paraphrase
    excludes: [mcq]
    description: >
      Question or response format changes with no candidates exposed. MCQ rows
      from the same source file are routed to `recognition` instead (spec 9.3).

  context:
    role: main
    target_slot: object
    is_assisted: false
    is_well_posed: true
    use_for_main_forward: true
    use_for_reverse_analysis: false
    use_for_recognition_analysis: false
    expected_queries: 6831
    expected_facts: 2591
    migrated_from: queryD_context
    description: >
      Irrelevant or misleading context prepended; the intended query stays
      unambiguous and the correct answer is unchanged.

  multilingual:
    role: main
    target_slot: object
    is_assisted: false
    is_well_posed: true
    use_for_main_forward: true
    use_for_reverse_analysis: false
    use_for_recognition_analysis: false
    expected_queries: 12010
    expected_facts: 2402
    migrated_from: queryE_multilingual
    languages: [zh, fr, es, de, ru]
    description: >
      Same factual question in another language. Query language is stored in
      the `language` field.

  reverse:
    role: structural            # reported separately, NOT in the main average
    target_slot: subject
    is_assisted: false
    is_well_posed: true
    use_for_main_forward: false
    use_for_reverse_analysis: true
    use_for_recognition_analysis: false
    expected_queries: 634
    expected_facts: 253
    migrated_from: queryC_reverse
    requires: is_inverse_well_posed
    description: >
      (o, r^-1) -> s. Only built where the inverse mapping is unique. Spec 2.3:
      reported separately because the target slot changes.

  recognition:
    role: diagnostic
    target_slot: object
    is_assisted: true
    is_well_posed: true
    use_for_main_forward: false
    use_for_reverse_analysis: false
    use_for_recognition_analysis: true
    expected_queries: 3412
    expected_facts: 2585
    migrated_from: queryB_paraphrase(fmt=mcq)
    description: >
      Multiple choice. Measures recognition, not unaided retrieval.

  reverse_illposed:
    role: diagnostic
    target_slot: subject
    is_assisted: false
    is_well_posed: false
    use_for_main_forward: false
    use_for_reverse_analysis: false
    use_for_recognition_analysis: false
    expected_queries: 1110
    expected_facts: 1110
    migrated_from: queryC_reverse(not well_posed)
    description: >
      Reverse queries whose inverse mapping is one-to-many ("What was developed
      by Apple?"). Diagnostic only; never scored in any headline number.

# These are the SPEC's counts, not the shipped file's. Two context queries were
# dropped by a rule-based guard (see accepted_deviations below and protocol
# reference D1), so evaluation_queries_44416.jsonl really holds 44,416 rows.
totals:
  expected_total_queries: 44418
  # anchor 2592 + paraphrase 10053 + format 7776 + context 6831 + multilingual 12010
  expected_main_forward_queries: 39262
  expected_benchmark_facts: 2592
  expected_relations: 21

# Spec 11: a query is a duplicate when fact_id + normalized text + target slot +
# condition family all coincide.
deduplication:
  key: [fact_id, normalized_query, target_slot, condition_family]
  expected_removed_during_migration: 10323

# Deviations from the spec counts that have been investigated and written up in
# outputs/reconstruction_differences.md. Listing one here stops the build from
# failing on it; an UNLISTED deviation still fails, so a new regression cannot
# hide behind a documented one.
accepted_deviations:
  - check: context.queries
    actual: 6829
    expected: 6831
    ref: D1
  - check: total_queries
    actual: 44416
    expected: 44418
    ref: D1
  - check: main_forward_queries
    actual: 39260
    expected: 39262
    ref: D1