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README.md

@@ -1,37 +1,63 @@
 ---
-dataset_info:
-  features:
-  - name: question_id
-    dtype: string
-  - name: split
-    dtype: string
-  - name: domain
-    dtype: string
-  - name: task
-    dtype: string
-  - name: prompt
-    dtype: string
-  - name: model_response
-    dtype: string
-  - name: extracted_answer
-    dtype: string
-  - name: ground_truth
-    dtype: string
-  - name: correct
-    dtype: bool
-  - name: finish_reason
-    dtype: string
-  - name: token_count
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 1942194
-    num_examples: 2000
-  download_size: 344208
-  dataset_size: 1942194
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: mit
+tags:
+- algo-sft-eval-redo
+- formal_logic
+- algo
 ---
+
+# algo-sft-eval-traces-formal-logic-truth-table-v4
+
+Full eval traces for algo-sft-formal-logic-truth-table across test/harder/ood splits
+
+## Dataset Info
+
+- **Rows**: 2000
+- **Columns**: 11
+
+## Columns
+
+| Column | Type | Description |
+|--------|------|-------------|
+| question_id | Value('string') | Unique question identifier from eval set |
+| split | Value('string') | Evaluation split: test (in-distribution), harder (scaled up), ood (structural out-of-distribution) |
+| domain | Value('string') | Task domain: formal_logic, conlang_morphology, cellular_automata, long_arithmetic |
+| task | Value('string') | Specific task variant (e.g., formal_logic_bottom_up) |
+| prompt | Value('string') | Full prompt sent to the model |
+| model_response | Value('string') | Complete untruncated model output |
+| extracted_answer | Value('string') | Answer extracted by domain-specific parser |
+| ground_truth | Value('string') | Expected correct answer |
+| correct | Value('bool') | Whether extracted_answer matched ground_truth |
+| finish_reason | Value('string') | vLLM finish reason: stop (natural end) or length (hit max_tokens) |
+| token_count | Value('int64') | Number of tokens in model_response |
+
+
+## Generation Parameters
+
+```json
+{
+  "script_name": "eval_model.py",
+  "model": "reasoning-degeneration-dev/algo-sft-formal-logic-truth-table",
+  "description": "Full eval traces for algo-sft-formal-logic-truth-table across test/harder/ood splits",
+  "hyperparameters": {
+    "max_tokens": 32768,
+    "max_model_len": 32768,
+    "temperature": 0.0,
+    "base_model": "Qwen/Qwen2.5-1.5B-Instruct"
+  },
+  "input_datasets": []
+}
+```
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("raca-workspace-v1/algo-sft-eval-traces-formal-logic-truth-table-v4", split="train")
+print(f"Loaded {len(dataset)} rows")
+```
+
+---
+
+*Uploaded via [RACA](https://github.com/Zayne-sprague/Dr-Claude-Code) hf_utility.*