Datasets:
| language: | |
| - en | |
| size_categories: | |
| - 1K<n<10K | |
| task_categories: | |
| - video-classification | |
| - video-text-to-text | |
| tags: | |
| - hallucination | |
| This repository contains the data presented in [ViBe: A Text-to-Video Benchmark for Evaluating Hallucination in Large Multimodal Models](https://huggingface.co/papers/2411.10867). | |
| # ViBe Annotations and Category Labels | |
| ## Order of Model Annotations | |
| The annotations for the models in **[metadata.csv](https://huggingface.co/datasets/ViBe-T2V-Bench/ViBe/blob/main/metadata.csv)** are organized in the following order: | |
| 1. **animatelcm** | |
| 2. **zeroscopeV2_XL** | |
| 3. **show1** | |
| 4. **mora** | |
| 5. **animatelightning** | |
| 6. **animatemotionadapter** | |
| 7. **magictime** | |
| 8. **zeroscopeV2_576w** | |
| 9. **ms1.7b** | |
| 10. **hotshotxl** |