Datasets:
Fix README strikethrough: avoid paired ~ tildes on one line
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README.md
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@@ -42,11 +42,11 @@ All subsets are **test-only** (no train/validation). Each benchmark is shipped a
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| Dataset | Source | Publication | Num images | Storage size | Note |
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| **Metropolis** | [Mapillary Metropolis](https://www.mapillary.com/dataset/metropolis) | [DA360 Sec. 3.3](https://arxiv.org/abs/2512.22819) | 3,000 | 3.1 GB | **New outdoor ERP benchmark.** Curated from
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| **Matterport3D** | [Matterport3D](https://niessner.github.io/Matterport/) | [1] | 2,014 | 2.8 GB | Standard **18-scene indoor test split** (same protocol as prior panoramic works). `pano_skybox_color/` + `pano_depth/`. 16-bit depth, meters = pixel / 4000. |
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| **Stanford2D3D** | [Stanford 2D-3D-S](http://buildingparser.stanford.edu/dataset.html) | [2] | 373 | 0.9 GB | Standard **Area 5** test set (`area_5a`, `area_5b`). 16-bit depth, meters = pixel / 512. |
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**Total (all zips):**
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Evaluation in the paper uses **518×1036** ERP resolution. See the official repo for metrics and `bash scripts/evaluate.sh`.
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| Dataset | Source | Publication | Num images | Storage size | Note |
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| ------- | ------ | ----------- | ---------- | ------------ | ---- |
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| **Metropolis** | [Mapillary Metropolis](https://www.mapillary.com/dataset/metropolis) | [DA360 Sec. 3.3](https://arxiv.org/abs/2512.22819) | 3,000 | 3.1 GB | **New outdoor ERP benchmark.** Curated from about 10k synchronized Mapillary samples; quality-filtered; bottom ERP inpainted (UniFuse-style); cubemap depth reprojected to ERP. 16-bit depth, meters = pixel / 512. |
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| **Matterport3D** | [Matterport3D](https://niessner.github.io/Matterport/) | [1] | 2,014 | 2.8 GB | Standard **18-scene indoor test split** (same protocol as prior panoramic works). `pano_skybox_color/` + `pano_depth/`. 16-bit depth, meters = pixel / 4000. |
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| **Stanford2D3D** | [Stanford 2D-3D-S](http://buildingparser.stanford.edu/dataset.html) | [2] | 373 | 0.9 GB | Standard **Area 5** test set (`area_5a`, `area_5b`). 16-bit depth, meters = pixel / 512. |
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**Total (all zips):** 6.8 GB. **6,387** RGB–depth ERP test pairs across the three benchmarks.
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Evaluation in the paper uses **518×1036** ERP resolution. See the official repo for metrics and `bash scripts/evaluate.sh`.
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