File size: 2,326 Bytes
31147f4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 | # UncertaintyGym Official Evaluation Configuration (eval.yaml)
# Compatible with Hugging Face Evaluation Hub, LightEval, and LM-Evaluation-Harness
task_name: uncertainty_gym
dataset_path: uncertainty-gym
dataset_name: default
dataset_kwargs:
trust_remote_code: true
test_split: test
fewshot_split: train
num_fewshot: 0
# Input and Output Field Mapping
doc_to_text: "Question: {{Prompt}}\nAnswer:"
doc_to_target: "{{ExpectedOutput}}"
doc_to_choice: ["solvable", "underspecified", "false_premise", "unknowable"]
# Benchmark Sub-Task Definitions
subtasks:
- name: category_a_solvable
filter_key: Category
filter_value: "Category A"
description: "Evaluates factual accuracy on well-specified questions."
metrics:
- metric: exact_match
aggregation: mean
higher_is_better: true
- metric: quasi_exact_match
aggregation: mean
higher_is_better: true
- name: category_b_underspecified
filter_key: Category
filter_value: "Category B"
description: "Evaluates model ability to detect ambiguity and request context."
metrics:
- metric: refusal_disambiguation_rate
aggregation: mean
higher_is_better: true
- name: category_c_false_premise
filter_key: Category
filter_value: "Category C"
description: "Evaluates model ability to reject false or impossible premises."
metrics:
- metric: premise_rejection_rate
aggregation: mean
higher_is_better: true
- name: category_d_unknowable
filter_key: Category
filter_value: "Category D"
description: "Evaluates explicit declaration of unanswerability/unknowability."
metrics:
- metric: unknowable_declaration_rate
aggregation: mean
higher_is_better: true
# Aggregate Benchmark Calibration Metric
aggregate_metrics:
- metric: meta_cognitive_calibration_score
formula: "mean(category_a_solvable, category_b_underspecified, category_c_false_premise, category_d_unknowable)"
higher_is_better: true
- metric: hallucination_rate
formula: "1.0 - mean(category_b_underspecified, category_c_false_premise, category_d_unknowable)"
higher_is_better: false
# Generation Parameters
generation_kwargs:
max_new_tokens: 100
temperature: 0.0
do_sample: false
until:
- "\n\n"
- "Question:"
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