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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
+
+# OSCBench Dataset
+
+
+### Dataset Description
+
+OSCBench is a benchmark dataset designed to evaluate **object state change (OSC)** reasoning in text-to-video (T2V) generation models. It provides structured prompts describing actions applied to objects (e.g., *peeling carrot*, *rolling dough*), where the correct outcome requires generating the appropriate **action-induced object state change**.
+
+OSCBench organizes prompts into three scenario types:
+
+- **Regular scenarios:** common action–object combinations frequently seen in training data.
+- **Novel scenarios:** uncommon but physically plausible action–object pairs that test generalization.
+- **Compositional scenarios:** prompts that combine multiple actions or conditions to test compositional reasoning.
+
+### Dataset Statistics
+
+The OSCBench dataset contains **1,120 prompts** organized into three scenario categories:
+
+| Scenario Type | Number of Scenarios | Prompts per Scenario | Total Prompts |
+|---------------|---------------------|----------------------|--------------|
+| Regular       | 108                 | 8                    | 864          |
+| Novel         | 20                  | 8                    | 160          |
+| Compositional | 12                  | 8                    | 96           |
+| **Total**     | **140**             | —                    | **1,120**    |
+
+
+### Dataset Sources
+
+- **Dataset:** https://huggingface.co/datasets/XianjingHan/OSCBench_Dataset  
+- **Paper:** https://arxiv.org/abs/2603.11698  
+- **Project Page:** https://hanxjing.github.io/OSCBench
+
+
+## Dataset Structure
+
+The dataset consists of **structured prompt files** describing actions applied to objects.
+
+Example prompt:
+
+A man is slicing apple in the kitchen.