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README.md

@@ -1,22 +1,49 @@
 ---
-dataset_info:
-  config_name: alpaca
-  features:
-  - name: instruction
-    dtype: string
-  - name: input
-    dtype: string
-  - name: output
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 30495
-    num_examples: 23
-  download_size: 26350
-  dataset_size: 30495
-configs:
-- config_name: alpaca
-  data_files:
-  - split: train
-    path: alpaca/train-*
+license: other
+pretty_name: curatorkit-testrun-Probe
+task_categories:
+  - text-generation
+  - question-answering
+tags:
+  - curatorkit
+  - lexsi-labs
+  - synthetic-data
+  - qa
+  - litellm
+  - dataset
+  - qwen2.5-0.5b-instruct
+  - alpaca
 ---
+
+<div align="center">
+  <table border="0" cellspacing="0" cellpadding="0" style="border: none; border-collapse: collapse;">
+    <tr>
+      <td align="center" style="border: none; vertical-align: middle;">
+        <a href="https://lexsi.ai/"><img src="https://huggingface.co/datasets/ram-lexsi/curatorkit-testrun-Probe/resolve/main/curatorkit_logo.png" alt="CuratorKIT" style="height: 60px; border-radius: 12px;"/></a>
+      </td>
+    </tr>
+  </table>
+</div>
+
+# curatorkit-testrun-Probe
+
+Built using [CuratorKIT](https://github.com/Lexsi-Labs/CuratorKIT) — provenance-grounded curation and synthesis for LLM post-training.
+
+| | |
+|---|---|
+| **Method** | qa |
+| **Backend** | litellm |
+| **Model** | `openai/Qwen/Qwen2.5-0.5B-Instruct` |
+| **Formats** | `alpaca` |
+| **Artifact** | dataset |
+| **Published** | 2026-08-30 06:03 UTC |
+
+
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("ram-lexsi/curatorkit-testrun-Probe", "alpaca")
+```