Improve dataset card: add paper link, code link, and task category

README.md

@@ -1,5 +1,9 @@
 ---
 license: mit
+task_categories:
+- question-answering
+language:
+- en
 configs:
 - config_name: default
   data_files:
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     path: OmanicSynth.jsonl
   - split: OmanicBench
     path: OmanicBench.jsonl
----
+---
+
+# Omanic
+
+Omanic is an open-domain multi-hop question-answering (QA) resource designed for the step-wise evaluation of reasoning in Large Language Models (LLMs). It provides decomposed sub-questions and intermediate answers as structural annotations to help diagnose where reasoning failures occur.
+
+- **Paper:** [Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models](https://huggingface.co/papers/2603.16654)
+- **Repository:** [https://github.com/XiaojieGu/Omanic](https://github.com/XiaojieGu/Omanic)
+
+### Dataset Summary
+
+The dataset consists of two main components:
+- **OmanicSynth**: A training set containing 10,296 machine-generated examples with structural reasoning chains, intended for supervised fine-tuning.
+- **OmanicBench**: A high-quality evaluation benchmark containing 967 expert-reviewed, human-annotated examples for systematic assessment of multi-hop reasoning.
+
+By providing intermediate steps rather than just final answers, Omanic allows researchers to analyze factual completeness and error propagation in the reasoning process of LLMs.