Add inference dataset documentation
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README.md
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@@ -160,6 +160,29 @@ For the official iWorldBench evaluation workflow, please refer to the main code
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- [Leaderboard](https://huggingface.co/spaces/EmbodiedCity/iWorld-Bench)
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- [Metric documentation](https://github.com/EmbodiedCity/iWorld-Bench/blob/main/README_metrics.md)
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## Citation
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If you use this dataset, please cite the iWorld-Bench paper:
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- [Leaderboard](https://huggingface.co/spaces/EmbodiedCity/iWorld-Bench)
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- [Metric documentation](https://github.com/EmbodiedCity/iWorld-Bench/blob/main/README_metrics.md)
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## Inference Dataset (`dataset/all_pack`)
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The `dataset/all_pack` directory contains the packaged inference data for running iWorld-Bench evaluations. It includes:
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| File / Directory | Description |
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|---|---|
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| `assets/` | First-frame images organized by source dataset and task (Diff/Mem). |
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| `metadata.csv` | Main metadata for Diff and Memory tasks, with sample IDs, dataset names, file paths, control types, and difficulty levels. |
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| `camera_following_metadata.csv` | Metadata for the Camera-Following task. |
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| `videoxfun_diff.csv` | VideoX-Fun-compatible Diff inference CSV. |
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**This dataset is designed for inference**: use it together with the evaluation code in the [main repository](https://github.com/EmbodiedCity/iWorld-Bench) to generate videos with your model and then run the iWorld-Bench evaluation pipeline.
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To download and use this dataset for inference:
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```bash
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# Install huggingface_hub if needed
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pip install huggingface_hub
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# Download the dataset
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huggingface-cli download EmbodiedCity/iWorld-Bench-Dataset --repo-type dataset --local-dir iWorld-Bench-Dataset
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```
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## Citation
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If you use this dataset, please cite the iWorld-Bench paper:
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