narrative string | question string | choices string | answer_index int64 | answer_choice string | formatted_prompt list | task_source string | domain string | response list | formatted_prompt__metadata list | response__metadata list | eval_result list | eval_result__metadata list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
In an adrenaline inducing bungee jumping site, Mack's thrill-seeking adventure came to a gruesome end by a nunchaku; now, it's up to Detective Winston to unravel the deadly secrets between Mackenzie and Ana.
Winston took a gulp of his black coffee, staring at the notes sprawled across his desk. A murder case at a bung... | Who is the most likely murderer? | ['Mackenzie', 'Ana'] | 0 | Mackenzie | [
{
"content": "You are a helpful assistant that will answer the questions given by the user.",
"role": "system"
},
{
"content": "You are solving a murder mystery. You must determine which suspect committed the murder.\n\nThe murderer needs ALL THREE of the following established:\n- MEANS: Access to t... | musr | murder_mysteries | [
"=== SUSPECT: Ana ===\n\nSTEP 1 — EXTRACT KEY FACTS \nFact 1: \"I signed up to jump. But I didn't end up going through with it.\" \nFact 2: \"My faith doesn't really permit bungee jumping. Truth be told, I was persuaded strongly by Mack. I had even signed up out of peer pressure but couldn't push myself.\" \n\nS... | [
{
"endpoint_type": "chat",
"litellm_function": "acompletion",
"model": "together_ai/Qwen/Qwen3-Next-80B-A3B-Instruct",
"raw_prompt": [
{
"content": "You are a helpful assistant that will answer the questions given by the user.",
"role": "system"
},
{
"conten... | [
{
"cost": 0.0012834,
"finish_reason": "stop",
"input_tokens": 1696,
"model": "together_ai/Qwen/Qwen3-Next-80B-A3B-Instruct",
"output_tokens": 686,
"raw_response": {
"choices": [
{
"finish_reason": "stop",
"index": 0,
"message": {
"conte... | [
true
] | [
{
"correct_answer_index": 0,
"correct_answer_number": 1,
"correct_answer_text": "Mackenzie",
"extracted_number": 1,
"extracted_text": "1",
"extractor": "musr",
"matched_by": "number",
"num_choices": 2,
"raw_line": "ANSWER: 1"
}
] |
In an adrenaline inducing bungee jumping site, Mack's thrill-seeking adventure came to a gruesome end by a nunchaku; now, it's up to Detective Winston to unravel the deadly secrets between Mackenzie and Ana.
Winston sat quietly in an unmarked Ford, parked a block away from Mackenzie's downtown apartment building. He o... | Who is the most likely murderer? | ['Mackenzie', 'Ana'] | 1 | Ana | [
{
"content": "You are a helpful assistant that will answer the questions given by the user.",
"role": "system"
},
{
"content": "You are solving a murder mystery. You must determine which suspect committed the murder.\n\nThe murderer needs ALL THREE of the following established:\n- MEANS: Access to t... | musr | murder_mysteries | [
"=== SUSPECT: Mackenzie ===\n\nSTEP 1 — EXTRACT KEY FACTS \nFact 1: \"In a small, hidden compartment in Mackenzie's wardrobe, Winston found the pair of nunchaku that Mackenzie had recently purchased.\" \nFact 2: \"I was the top candidate, you know. It should've been mine. Mack, the new guy, he is nothing compared... | [
{
"endpoint_type": "chat",
"litellm_function": "acompletion",
"model": "together_ai/Qwen/Qwen3-Next-80B-A3B-Instruct",
"raw_prompt": [
{
"content": "You are a helpful assistant that will answer the questions given by the user.",
"role": "system"
},
{
"conten... | [
{
"cost": 0.0035241,
"finish_reason": "stop",
"input_tokens": 1644,
"model": "together_ai/Qwen/Qwen3-Next-80B-A3B-Instruct",
"output_tokens": 2185,
"raw_response": {
"choices": [
{
"finish_reason": "stop",
"index": 0,
"message": {
"cont... | [
true
] | [
{
"correct_answer_index": 1,
"correct_answer_number": 2,
"correct_answer_text": "Ana",
"extracted_number": 2,
"extracted_text": "2",
"extractor": "musr",
"matched_by": "number",
"num_choices": 2,
"raw_line": "ANSWER: 2"
}
] |
In the haze of neon lights and the serving of a silent hand of fate, Timothy lies dead in a casino, a sai his cruel end, leaving the unruffled Detective Winston to interrogate suspects, Harry and Rosemary.
It had been a long day for Winston. The air was heavy with the scent of fresh coffee and the clamour of a bustlin... | Who is the most likely murderer? | ['Harry', 'Rosemary'] | 0 | Harry | [
{
"content": "You are a helpful assistant that will answer the questions given by the user.",
"role": "system"
},
{
"content": "You are solving a murder mystery. You must determine which suspect committed the murder.\n\nThe murderer needs ALL THREE of the following established:\n- MEANS: Access to t... | musr | murder_mysteries | [
"=== SUSPECT: Harry ===\n\nSTEP 1 — EXTRACT KEY FACTS \nFact 1: \"Harry had a deep gambling debt with Timothy over his betting habits... Timothy was planning to expose Harry's debt to the other horse owners.\" \nFact 2: \"A pair of sai swords caught his eye, arranged carefully on a display holder. A typical weapo... | [
{
"endpoint_type": "chat",
"litellm_function": "acompletion",
"model": "together_ai/Qwen/Qwen3-Next-80B-A3B-Instruct",
"raw_prompt": [
{
"content": "You are a helpful assistant that will answer the questions given by the user.",
"role": "system"
},
{
"conten... | [
{
"cost": 0.0015933000000000002,
"finish_reason": "stop",
"input_tokens": 1652,
"model": "together_ai/Qwen/Qwen3-Next-80B-A3B-Instruct",
"output_tokens": 897,
"raw_response": {
"choices": [
{
"finish_reason": "stop",
"index": 0,
"message": {
... | [
true
] | [
{
"correct_answer_index": 0,
"correct_answer_number": 1,
"correct_answer_text": "Harry",
"extracted_number": 1,
"extracted_text": "1",
"extractor": "musr",
"matched_by": "number",
"num_choices": 2,
"raw_line": "ANSWER: 1"
}
] |
In the haze of neon lights and the serving of a silent hand of fate, Timothy lies dead in a casino, a sai his cruel end, leaving the unruffled Detective Winston to interrogate suspects, Harry and Rosemary.
Detective Winston wearily walked into the noisy, packed casino, the glow of the neon lights casting an unnatural ... | Who is the most likely murderer? | ['Harry', 'Rosemary'] | 1 | Rosemary | [
{
"content": "You are a helpful assistant that will answer the questions given by the user.",
"role": "system"
},
{
"content": "You are solving a murder mystery. You must determine which suspect committed the murder.\n\nThe murderer needs ALL THREE of the following established:\n- MEANS: Access to t... | musr | murder_mysteries | [
"=== SUSPECT: Harry ===\n\nSTEP 1 — EXTRACT KEY FACTS \nFact 1: \"Harry, a well-established horse trainer... had once been a revered martial arts instructor, imparting his knowledge of a specific style – one where the sai was a commonly used weapon – to his students. Daily practice with a sai was part of his routi... | [
{
"endpoint_type": "chat",
"litellm_function": "acompletion",
"model": "together_ai/Qwen/Qwen3-Next-80B-A3B-Instruct",
"raw_prompt": [
{
"content": "You are a helpful assistant that will answer the questions given by the user.",
"role": "system"
},
{
"conten... | [
{
"cost": 0.00125955,
"finish_reason": "stop",
"input_tokens": 1757,
"model": "together_ai/Qwen/Qwen3-Next-80B-A3B-Instruct",
"output_tokens": 664,
"raw_response": {
"choices": [
{
"finish_reason": "stop",
"index": 0,
"message": {
"cont... | [
false
] | [
{
"correct_answer_index": 1,
"correct_answer_number": 2,
"correct_answer_text": "Rosemary",
"extracted_number": 1,
"extracted_text": "1",
"extractor": "musr",
"matched_by": "number",
"num_choices": 2,
"raw_line": "ANSWER: 1"
}
] |
"In the quiet chaos of the city zoo, Detective Winston finds himself investigating an unusual murder(...TRUNCATED) | Who is the most likely murderer? | ['Amelia', 'Emma'] | 0 | Amelia | [{"content":"You are a helpful assistant that will answer the questions given by the user.","role":"(...TRUNCATED) | musr | murder_mysteries | ["=== SUSPECT: Amelia ===\n\nSTEP 1 — EXTRACT KEY FACTS \nFact 1: \"Daniel had been at Amelia's b(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"together_ai/Qwen/Qwen3-Next-80B-A(...TRUNCATED) | [{"cost":0.0018471,"finish_reason":"stop","input_tokens":1584,"model":"together_ai/Qwen/Qwen3-Next-8(...TRUNCATED) | [
true
] | [{"correct_answer_index":0,"correct_answer_number":1,"correct_answer_text":"Amelia","extracted_numbe(...TRUNCATED) |
"In the quiet chaos of the city zoo, Detective Winston finds himself investigating an unusual murder(...TRUNCATED) | Who is the most likely murderer? | ['Amelia', 'Emma'] | 1 | Emma | [{"content":"You are a helpful assistant that will answer the questions given by the user.","role":"(...TRUNCATED) | musr | murder_mysteries | ["=== SUSPECT: Amelia ===\n\nSTEP 1 — EXTRACT KEY FACTS \nFact 1: \"Amelia, wielding a small syri(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"together_ai/Qwen/Qwen3-Next-80B-A(...TRUNCATED) | [{"cost":0.0014259,"finish_reason":"stop","input_tokens":1676,"model":"together_ai/Qwen/Qwen3-Next-8(...TRUNCATED) | [
true
] | [{"correct_answer_index":1,"correct_answer_number":2,"correct_answer_text":"Emma","extracted_number"(...TRUNCATED) |
"In the grim spectacle of the wrestling ring stained with blood, Detective Winston embarks on a chil(...TRUNCATED) | Who is the most likely murderer? | ['Terrance', 'Nelson'] | 0 | Terrance | [{"content":"You are a helpful assistant that will answer the questions given by the user.","role":"(...TRUNCATED) | musr | murder_mysteries | ["=== SUSPECT: Terrance ===\n\nSTEP 1 — EXTRACT KEY FACTS \nFact 1: \"Terrance was no stranger to(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"together_ai/Qwen/Qwen3-Next-80B-A(...TRUNCATED) | [{"cost":0.0015126,"finish_reason":"stop","input_tokens":1624,"model":"together_ai/Qwen/Qwen3-Next-8(...TRUNCATED) | [
false
] | [{"correct_answer_index":0,"correct_answer_number":1,"correct_answer_text":"Terrance","extracted_num(...TRUNCATED) |
"In the grim spectacle of the wrestling ring stained with blood, Detective Winston embarks on a chil(...TRUNCATED) | Who is the most likely murderer? | ['Terrance', 'Nelson'] | 1 | Nelson | [{"content":"You are a helpful assistant that will answer the questions given by the user.","role":"(...TRUNCATED) | musr | murder_mysteries | ["=== SUSPECT: Terrance ===\n\nSTEP 1 — EXTRACT KEY FACTS \nFact 1: \"Terrance was Winston's main(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"together_ai/Qwen/Qwen3-Next-80B-A(...TRUNCATED) | [{"cost":0.00124305,"finish_reason":"stop","input_tokens":1377,"model":"together_ai/Qwen/Qwen3-Next-(...TRUNCATED) | [
true
] | [{"correct_answer_index":1,"correct_answer_number":2,"correct_answer_text":"Nelson","extracted_numbe(...TRUNCATED) |
"In the hushed sanctity of a mosque, Kent falls victim to a deadly snake venom, leaving Detective Wi(...TRUNCATED) | Who is the most likely murderer? | ['Ronald', 'Julia'] | 0 | Ronald | [{"content":"You are a helpful assistant that will answer the questions given by the user.","role":"(...TRUNCATED) | musr | murder_mysteries | ["=== SUSPECT: Ronald ===\n\nSTEP 1 — EXTRACT KEY FACTS \nFact 1: \"Ronald... also worked at the (...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"together_ai/Qwen/Qwen3-Next-80B-A(...TRUNCATED) | [{"cost":0.0012901499999999999,"finish_reason":"stop","input_tokens":1511,"model":"together_ai/Qwen/(...TRUNCATED) | [
true
] | [{"correct_answer_index":0,"correct_answer_number":1,"correct_answer_text":"Ronald","extracted_numbe(...TRUNCATED) |
"In the hushed sanctity of a mosque, Kent falls victim to a deadly snake venom, leaving Detective Wi(...TRUNCATED) | Who is the most likely murderer? | ['Ronald', 'Julia'] | 1 | Julia | [{"content":"You are a helpful assistant that will answer the questions given by the user.","role":"(...TRUNCATED) | musr | murder_mysteries | ["=== SUSPECT: Julia ===\n\nSTEP 1 — EXTRACT KEY FACTS\nFact 1: \"Julia was trained as a herpetolo(...TRUNCATED) | [{"endpoint_type":"chat","litellm_function":"acompletion","model":"together_ai/Qwen/Qwen3-Next-80B-A(...TRUNCATED) | [{"cost":0.0013953,"finish_reason":"stop","input_tokens":1492,"model":"together_ai/Qwen/Qwen3-Next-8(...TRUNCATED) | [
true
] | [{"correct_answer_index":1,"correct_answer_number":2,"correct_answer_text":"Julia","extracted_number(...TRUNCATED) |
t1-musr-structured-murder-together_ai-qwen-qwen3-next-80b-a3b-inst-4d7e26c9
Structured slot-filling evaluation for MuSR murder mysteries. Instead of the original paper's freeform cot+ hint, this uses a structured algorithm that forces the model to extract facts, slot-fill means/motive/opportunity, and compare suspects.
Results
| Metric | Value |
|---|---|
| pass@1 | 0.8000 |
| Total problems | 10 |
Structured Prompt (excerpt)
You are solving a murder mystery. You must determine which suspect committed the murder.
The murderer needs ALL THREE of the following established:
- MEANS: Access to the murder weapon
- MOTIVE: A reason to kill the victim
- OPPORTUNITY: Access to the crime scene at the time of the murder
Innocent suspects may have at most two of these three proven, but never all three.
FOLLOW THIS EXACT STRUCTURED REASONING PROCEDURE:
For EACH suspect listed in the choices below, perform this analysis:
=== SUSPECT: [Name] ===
STEP 1 — EXTRACT KEY FACTS
Find exactly two key facts from the story about this suspect's relationship to the crime:
Fact 1: [direct quote or close paraphrase from the story]
Fact 2: [direct quote or close paraphrase from the story]
STEP 2 — SLOT-FILL ANALYSIS
Using ONLY the facts extracted above, determine each category:
MEANS (weapon access): [ESTABLISHED / NOT ESTABLISHED] — Evidence: [cite which fact]
MOTIVE (reason to kill): [ESTABLISHED / NOT ESTABLISHED] — Evidence: [cite which fact]
OPPORTUNITY (scene access): [ESTABLISHED / NOT ESTABLISHED] — Evidence: [cite which fact]
Verdict: [X/3 established]
=== END SUSPECT ===
After analyzing ALL suspects, build a comparison:
COMPARISON:
| Suspect | Means | Motive | Opportunity | Total |
|---------|-------|--------|-------------|-------|
(fill in for each suspect)
CONCLUSION: The murderer is the suspect with ALL THREE established.
If both suspects appear to have all three, pick the one whe...
Details
| Parameter | Value |
|---|---|
| Model | together_ai/Qwen/Qwen3-Next-80B-A3B-Instruct |
| Temperature | 0.7 |
| Top-p | 0.95 |
| Max tokens | 32768 |
| Samples | 1 |
| Thinking | False |
Usage
from datasets import load_dataset
dataset = load_dataset("reasoning-degeneration-dev/t1-musr-structured-murder-together_ai-qwen-qwen3-next-80b-a3b-inst-4d7e26c9", split="train")
Tracked in reasoning-degeneration-dev/PROJECT-MANIFEST
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