narrative string | question string | choices string | answer_index int64 | answer_choice string | task_source string | formatted_prompt list | response list | formatted_prompt__metadata list | response__metadata list | eval_result list | eval_result__metadata list | _judge_prompt__metadata list | _judge_response__metadata list | strategy_compliance int64 | compliance_reasoning string | compliance_elements_followed list | compliance_elements_missed list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
"In the tranquil solitude of a secluded chalet, Clyde meets an untimely death from snake venom; a ca(...TRUNCATED) | Who is the most likely murderer? | ['Mack', 'Taylor'] | 0 | Mack | musr | [{"content":"You are a helpful assistant that will answer the questions given by the user.","role":"(...TRUNCATED) | ["<think>\nFirst, I need to solve this murder mystery using counterfactual hypothesis testing with e(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"together_ai/Qwen/Qwen3-Next-80B-A(...TRUNCATED) | [{"cost":0.0101655,"finish_reason":"stop","input_tokens":2080,"model":"together_ai/Qwen/Qwen3-Next-8(...TRUNCATED) | [
true
] | [{"correct_answer_index":0,"correct_answer_number":1,"correct_answer_text":"Mack","extracted_number"(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"gpt-4o-mini-2024-07-18","raw_prom(...TRUNCATED) | [{"cost":0.00110415,"finish_reason":"stop","input_tokens":6725,"model":"gpt-4o-mini-2024-07-18","out(...TRUNCATED) | 4 | "The model mostly follows the prescribed strategy, clearly listing suspects, framing hypotheses, and(...TRUNCATED) | ["SUSPECT INVENTORY","HYPOTHESIS FRAMING","CONDITIONS FIRST","SEQUENTIAL TESTING","EXPLICIT VERDICTS(...TRUNCATED) | [
"EARLY TERMINATION",
"EFFICIENCY"
] |
"In the dim light of an abandoned factory, Kaylee's lifeless body lay with the cold steel of a picka(...TRUNCATED) | Who is the most likely murderer? | ['Penelope', 'Francis'] | 0 | Penelope | musr | [{"content":"You are a helpful assistant that will answer the questions given by the user.","role":"(...TRUNCATED) | ["<think>\nFirst, I need to solve this murder mystery using COUNTERFACTUAL HYPOTHESIS TESTING WITH E(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"together_ai/Qwen/Qwen3-Next-80B-A(...TRUNCATED) | [{"cost":0.00795705,"finish_reason":"stop","input_tokens":2137,"model":"together_ai/Qwen/Qwen3-Next-(...TRUNCATED) | [
true
] | [{"correct_answer_index":0,"correct_answer_number":1,"correct_answer_text":"Penelope","extracted_num(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"gpt-4o-mini-2024-07-18","raw_prom(...TRUNCATED) | [{"cost":0.0009517499999999999,"finish_reason":"stop","input_tokens":5765,"model":"gpt-4o-mini-2024-(...TRUNCATED) | 5 | "The model fully adheres to the prescribed reasoning strategy, systematically listing suspects, fram(...TRUNCATED) | ["SUSPECT INVENTORY","HYPOTHESIS FRAMING","CONDITIONS FIRST","SEQUENTIAL TESTING","EXPLICIT VERDICTS(...TRUNCATED) | [] |
"In a shocking twist of events, Charlotte is found lifeless in her kitchen, felled by a stun gun, an(...TRUNCATED) | Who is the most likely murderer? | ['Letti', 'Deborah'] | 0 | Letti | musr | [{"content":"You are a helpful assistant that will answer the questions given by the user.","role":"(...TRUNCATED) | ["<think>\nFirst, I need to solve this murder mystery using COUNTERFACTUAL HYPOTHESIS TESTING WITH E(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"together_ai/Qwen/Qwen3-Next-80B-A(...TRUNCATED) | [{"cost":0.0060090000000000005,"finish_reason":"stop","input_tokens":2170,"model":"together_ai/Qwen/(...TRUNCATED) | [
true
] | [{"correct_answer_index":0,"correct_answer_number":1,"correct_answer_text":"Letti","extracted_number(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"gpt-4o-mini-2024-07-18","raw_prom(...TRUNCATED) | [{"cost":0.0007779,"finish_reason":"stop","input_tokens":4582,"model":"gpt-4o-mini-2024-07-18","outp(...TRUNCATED) | 5 | "The model fully adheres to the prescribed strategy, systematically listing suspects, framing hypoth(...TRUNCATED) | ["SUSPECT INVENTORY","HYPOTHESIS FRAMING","CONDITIONS FIRST","SEQUENTIAL TESTING","EXPLICIT VERDICTS(...TRUNCATED) | [] |
"In the high-intensity world of a local fitness center, Tommy's exercise regime is abruptly terminat(...TRUNCATED) | Who is the most likely murderer? | ['Lucy', 'Jacqueline'] | 0 | Lucy | musr | [{"content":"You are a helpful assistant that will answer the questions given by the user.","role":"(...TRUNCATED) | ["<think>\nFirst, I need to solve this murder mystery using COUNTERFACTUAL HYPOTHESIS TESTING WITH E(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"together_ai/Qwen/Qwen3-Next-80B-A(...TRUNCATED) | [{"cost":0.01104975,"finish_reason":"stop","input_tokens":2105,"model":"together_ai/Qwen/Qwen3-Next-(...TRUNCATED) | [
true
] | [{"correct_answer_index":0,"correct_answer_number":1,"correct_answer_text":"Lucy","extracted_number"(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"gpt-4o-mini-2024-07-18","raw_prom(...TRUNCATED) | [{"cost":0.0011757,"finish_reason":"stop","input_tokens":7266,"model":"gpt-4o-mini-2024-07-18","outp(...TRUNCATED) | 5 | "The model fully adheres to the prescribed reasoning strategy, systematically listing suspects, fram(...TRUNCATED) | ["SUSPECT INVENTORY","HYPOTHESIS FRAMING","CONDITIONS FIRST","SEQUENTIAL TESTING","EXPLICIT VERDICTS(...TRUNCATED) | [] |
"In a chilling turn of events, Rose is found lifeless in a car, killed by a vial of acid, leading De(...TRUNCATED) | Who is the most likely murderer? | ['Dexter', 'Daisy'] | 1 | Daisy | musr | [{"content":"You are a helpful assistant that will answer the questions given by the user.","role":"(...TRUNCATED) | ["<think>\nFirst, I need to solve this murder mystery using counterfactual hypothesis testing with e(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"together_ai/Qwen/Qwen3-Next-80B-A(...TRUNCATED) | [{"cost":0.0077448000000000005,"finish_reason":"stop","input_tokens":2112,"model":"together_ai/Qwen/(...TRUNCATED) | [
true
] | [{"correct_answer_index":1,"correct_answer_number":2,"correct_answer_text":"Daisy","extracted_number(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"gpt-4o-mini-2024-07-18","raw_prom(...TRUNCATED) | [{"cost":0.00093645,"finish_reason":"stop","input_tokens":5667,"model":"gpt-4o-mini-2024-07-18","out(...TRUNCATED) | 4 | "The model mostly follows the prescribed strategy, correctly listing suspects, framing hypotheses, a(...TRUNCATED) | ["SUSPECT INVENTORY","HYPOTHESIS FRAMING","CONDITIONS FIRST","SEQUENTIAL TESTING","EXPLICIT VERDICTS(...TRUNCATED) | [] |
"In the dense, dank heart of the rainforest, Skylar's life was brutally silenced with a lead pipe, l(...TRUNCATED) | Who is the most likely murderer? | ['Albert', 'Mya'] | 1 | Mya | musr | [{"content":"You are a helpful assistant that will answer the questions given by the user.","role":"(...TRUNCATED) | ["<think>\nFirst, I need to solve this murder mystery using the counterfactual hypothesis testing wi(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"together_ai/Qwen/Qwen3-Next-80B-A(...TRUNCATED) | [{"cost":0.0115689,"finish_reason":"stop","input_tokens":2206,"model":"together_ai/Qwen/Qwen3-Next-8(...TRUNCATED) | [
true
] | [{"correct_answer_index":1,"correct_answer_number":2,"correct_answer_text":"Mya","extracted_number":(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"gpt-4o-mini-2024-07-18","raw_prom(...TRUNCATED) | [{"cost":0.0013083,"finish_reason":"stop","input_tokens":8134,"model":"gpt-4o-mini-2024-07-18","outp(...TRUNCATED) | 4 | "The model mostly follows the prescribed strategy, including listing suspects, framing hypotheses, a(...TRUNCATED) | ["SUSPECT INVENTORY","HYPOTHESIS FRAMING","CONDITIONS FIRST","SEQUENTIAL TESTING","EXPLICIT VERDICTS(...TRUNCATED) | [
"EFFICIENCY"
] |
"In the hallowed silence of a synagogue, a shocking murder unfolds as Derek is impaled by a harpoon,(...TRUNCATED) | Who is the most likely murderer? | ['Hailey', 'Angela'] | 1 | Angela | musr | [{"content":"You are a helpful assistant that will answer the questions given by the user.","role":"(...TRUNCATED) | ["<think>\nFirst, I need to solve this murder mystery using the counterfactual hypothesis testing wi(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"together_ai/Qwen/Qwen3-Next-80B-A(...TRUNCATED) | [{"cost":0.0147564,"finish_reason":"stop","input_tokens":2466,"model":"together_ai/Qwen/Qwen3-Next-8(...TRUNCATED) | [
true
] | [{"correct_answer_index":1,"correct_answer_number":2,"correct_answer_text":"Angela","extracted_numbe(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"gpt-4o-mini-2024-07-18","raw_prom(...TRUNCATED) | [{"cost":0.0014994000000000001,"finish_reason":"stop","input_tokens":9408,"model":"gpt-4o-mini-2024-(...TRUNCATED) | 4 | "The model mostly follows the prescribed strategy, clearly listing suspects, framing hypotheses, and(...TRUNCATED) | ["SUSPECT INVENTORY","HYPOTHESIS FRAMING","CONDITIONS FIRST","SEQUENTIAL TESTING","EXPLICIT VERDICTS(...TRUNCATED) | [
"EARLY TERMINATION",
"EFFICIENCY"
] |
"In the haze of neon lights and the serving of a silent hand of fate, Timothy lies dead in a casino,(...TRUNCATED) | Who is the most likely murderer? | ['Harry', 'Rosemary'] | 1 | Rosemary | musr | [{"content":"You are a helpful assistant that will answer the questions given by the user.","role":"(...TRUNCATED) | ["<think>\nFirst, I need to solve this murder mystery using the counterfactual hypothesis testing wi(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"together_ai/Qwen/Qwen3-Next-80B-A(...TRUNCATED) | [{"cost":0.00578955,"finish_reason":"stop","input_tokens":2267,"model":"together_ai/Qwen/Qwen3-Next-(...TRUNCATED) | [
false
] | [{"correct_answer_index":1,"correct_answer_number":2,"correct_answer_text":"Rosemary","extracted_num(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"gpt-4o-mini-2024-07-18","raw_prom(...TRUNCATED) | [{"cost":0.0007056,"finish_reason":"stop","input_tokens":4132,"model":"gpt-4o-mini-2024-07-18","outp(...TRUNCATED) | 5 | "The model fully adheres to the prescribed strategy, systematically listing suspects, framing hypoth(...TRUNCATED) | ["SUSPECT INVENTORY","HYPOTHESIS FRAMING","CONDITIONS FIRST","SEQUENTIAL TESTING","EXPLICIT VERDICTS(...TRUNCATED) | [] |
"In the aftermath of a devastating home explosion that claims the life of Angela, seasoned Detective(...TRUNCATED) | Who is the most likely murderer? | ['Patrick', 'Alvin'] | 0 | Patrick | musr | [{"content":"You are a helpful assistant that will answer the questions given by the user.","role":"(...TRUNCATED) | ["<think>\nFirst, I need to solve this murder mystery using counterfactual hypothesis testing with e(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"together_ai/Qwen/Qwen3-Next-80B-A(...TRUNCATED) | [{"cost":0.00755925,"finish_reason":"stop","input_tokens":2215,"model":"together_ai/Qwen/Qwen3-Next-(...TRUNCATED) | [
true
] | [{"correct_answer_index":0,"correct_answer_number":1,"correct_answer_text":"Patrick","extracted_numb(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"gpt-4o-mini-2024-07-18","raw_prom(...TRUNCATED) | [{"cost":0.00091185,"finish_reason":"stop","input_tokens":5527,"model":"gpt-4o-mini-2024-07-18","out(...TRUNCATED) | 5 | "The model fully adheres to the prescribed reasoning strategy, systematically testing each suspect w(...TRUNCATED) | ["SUSPECT INVENTORY","HYPOTHESIS FRAMING","CONDITIONS FIRST","SEQUENTIAL TESTING","EXPLICIT VERDICTS(...TRUNCATED) | [] |
"In the frost-kissed tranquility of a chalet, Malaysia meets a fatal end by a rifle's sinister call,(...TRUNCATED) | Who is the most likely murderer? | ['Letti', 'Evelyn'] | 1 | Evelyn | musr | [{"content":"You are a helpful assistant that will answer the questions given by the user.","role":"(...TRUNCATED) | ["<think>\nFirst, I need to solve this murder mystery using the counterfactual hypothesis testing wi(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"together_ai/Qwen/Qwen3-Next-80B-A(...TRUNCATED) | [{"cost":0.010334099999999999,"finish_reason":"stop","input_tokens":2034,"model":"together_ai/Qwen/Q(...TRUNCATED) | [
true
] | [{"correct_answer_index":1,"correct_answer_number":2,"correct_answer_text":"Evelyn","extracted_numbe(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"gpt-4o-mini-2024-07-18","raw_prom(...TRUNCATED) | [{"cost":0.0011543999999999999,"finish_reason":"stop","input_tokens":7076,"model":"gpt-4o-mini-2024-(...TRUNCATED) | 5 | "The model fully complies with the prescribed strategy by systematically listing suspects, framing h(...TRUNCATED) | ["SUSPECT INVENTORY","HYPOTHESIS FRAMING","CONDITIONS FIRST","SEQUENTIAL TESTING","EXPLICIT VERDICTS(...TRUNCATED) | [] |
t1-strategy-musr-counterfactual-qwen3-80b-thinking-musr-cfact
Strategy compliance evaluation on MuSR murder mysteries — counterfactual-hypothesis variant.
Model was instructed to use Counterfactual Hypothesis Testing with Early Termination (assume each suspect is guilty, test conditions, stop at first contradiction). Compliance is scored by an LLM judge (1-5 Likert) against the Criterion-First rubric.
Results
| Metric | Value |
|---|---|
| pass@1 | 0.9000 |
| Strategy compliance (mean) | 4.60 |
| Strategy compliance (min) | 4 |
| Strategy compliance (max) | 5 |
| Total problems | 10 |
Compliance Distribution
| Score | Count | Meaning |
|---|---|---|
| 1 | 0 | Non-compliant |
| 2 | 0 | Minimal |
| 3 | 0 | Partial |
| 4 | 4 | Mostly compliant |
| 5 | 6 | Fully compliant |
Details
| Parameter | Value |
|---|---|
| Model | together_ai/Qwen/Qwen3-Next-80B-A3B-Thinking |
| Thinking | True |
| Temperature | 0.7 |
| Max tokens | 32768 |
| Judge model | openai/gpt-4o-mini |
| Num examples | 10 |
| Variant | counterfactual-hypothesis |
Usage
from datasets import load_dataset
ds = load_dataset("reasoning-degeneration-dev/t1-strategy-musr-counterfactual-qwen3-80b-thinking-musr-cfact", split="train")
scores = ds["strategy_compliance"]
print(f"Mean compliance: {sum(scores) / len(scores):.2f}")
Tracked in reasoning-degeneration-dev/PROJECT-MANIFEST
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