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README.md

@@ -1,167 +1,88 @@
 ---
-dataset_info:
-  features:
-  - name: narrative
-    dtype: string
-  - name: question
-    dtype: string
-  - name: choices
-    dtype: string
-  - name: answer_index
-    dtype: int64
-  - name: answer_choice
-    dtype: string
-  - name: formatted_prompt
-    list:
-    - name: content
-      dtype: string
-    - name: role
-      dtype: string
-  - name: task_source
-    dtype: string
-  - name: domain
-    dtype: string
-  - name: response
-    list: string
-  - name: formatted_prompt__metadata
-    list:
-    - name: endpoint_type
-      dtype: string
-    - name: litellm_function
-      dtype: string
-    - name: model
-      dtype: string
-    - name: raw_prompt
-      list:
-      - name: content
-        dtype: string
-      - name: role
-        dtype: string
-    - name: raw_system_prompt
-      dtype: 'null'
-    - name: request_payload
-      struct:
-      - name: api_base
-        dtype: string
-      - name: max_tokens
-        dtype: int64
-      - name: messages
-        list:
-        - name: content
-          dtype: string
-        - name: role
-          dtype: string
-      - name: model
-        dtype: string
-      - name: stream
-        dtype: bool
-      - name: temperature
-        dtype: float64
-      - name: timeout
-        dtype: float64
-      - name: top_p
-        dtype: float64
-  - name: response__metadata
-    list:
-    - name: cost
-      dtype: float64
-    - name: finish_reason
-      dtype: string
-    - name: input_tokens
-      dtype: int64
-    - name: model
-      dtype: string
-    - name: output_tokens
-      dtype: int64
-    - name: raw_response
-      struct:
-      - name: choices
-        list:
-        - name: finish_reason
-          dtype: string
-        - name: index
-          dtype: int64
-        - name: message
-          struct:
-          - name: content
-            dtype: string
-          - name: function_call
-            dtype: 'null'
-          - name: provider_specific_fields
-            struct:
-            - name: reasoning
-              dtype: 'null'
-            - name: refusal
-              dtype: 'null'
-          - name: role
-            dtype: string
-          - name: tool_calls
-            dtype: 'null'
-        - name: provider_specific_fields
-          struct:
-          - name: seed
-            dtype: 'null'
-      - name: created
-        dtype: int64
-      - name: id
-        dtype: string
-      - name: metadata
-        struct:
-        - name: weight_version
-          dtype: string
-      - name: model
-        dtype: string
-      - name: object
-        dtype: string
-      - name: prompt
-        list: 'null'
-      - name: service_tier
-        dtype: 'null'
-      - name: system_fingerprint
-        dtype: 'null'
-      - name: usage
-        struct:
-        - name: completion_tokens
-          dtype: int64
-        - name: completion_tokens_details
-          dtype: 'null'
-        - name: prompt_tokens
-          dtype: int64
-        - name: prompt_tokens_details
-          dtype: 'null'
-        - name: total_tokens
-          dtype: int64
-  - name: eval_result
-    list: bool
-  - name: eval_result__metadata
-    list:
-    - name: correct_answer_index
-      dtype: int64
-    - name: correct_answer_number
-      dtype: int64
-    - name: correct_answer_text
-      dtype: string
-    - name: extracted_number
-      dtype: int64
-    - name: extracted_text
-      dtype: string
-    - name: extractor
-      dtype: string
-    - name: matched_by
-      dtype: string
-    - name: num_choices
-      dtype: int64
-    - name: raw_line
-      dtype: string
-  splits:
-  - name: train
-    num_bytes: 361224
-    num_examples: 10
-  download_size: 239399
-  dataset_size: 361224
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: mit
+tags:
+- t1_synthesize_knowledge
+- musr
+- structured_reasoning
+- murder_mysteries
 ---
+
+# 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
+
+```python
+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](https://huggingface.co/datasets/reasoning-degeneration-dev/PROJECT-MANIFEST)*