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Use Parquet image configs

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README.md CHANGED
@@ -1,46 +1,55 @@
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  ---
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  configs:
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- - config_name: size_variation
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- data_files: size_variation.tsv
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- sep: "\t"
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- default: true
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  - config_name: phase_variation
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- data_files: phase_variation.tsv
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- sep: "\t"
 
 
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  - config_name: contrastive_probing
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- data_files: contrastive_probing.tsv
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- sep: "\t"
 
 
 
 
 
 
 
 
 
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  ---
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  # SpatialTunnel
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  SpatialTunnel is a Blender-rendered diagnostic dataset for studying how vision-language models represent spatial relations internally. It was introduced in **Why Far Looks Up: Probing Spatial Representation in Vision-Language Models** ([arXiv:2605.30161](https://arxiv.org/abs/2605.30161)).
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- Related resources:
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  - [Project page](https://cheolhong0916.github.io/whyfarlooksup.github.io/)
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  - [Contrastive-probing code](https://github.com/cheolhong0916/contrastive-probing)
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  - [SpatialTunnel generation code](https://github.com/cube-c/spatialtunnel-dataset-gen)
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- ## Dataset Configs
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  | Config | File | Rows | Description |
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  |---|---|---|---|
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- | `size_variation` | `size_variation.tsv` | 1,100 | Distance questions under controlled object-size variation. |
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- | `phase_variation` | `phase_variation.tsv` | 3,072 | Distance questions with controlled angular-position variation. |
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- | `contrastive_probing` | `contrastive_probing.tsv` | 1,200 | Balanced spatial-relation questions for contrastive probing. |
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  ## Format
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- All configs are tab-separated files with the same columns:
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  | Column | Description |
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  |---|---|
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  | `index` | Row index within the selected config. |
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- | `image` | Base64-encoded PNG image. |
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  | `question` | Spatial question to ask the model. |
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  | `answer` | Ground-truth answer for the row. |
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  ---
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  ## Citation
 
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  ---
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  configs:
 
 
 
 
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  - config_name: phase_variation
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+ data_files: phase_variation.parquet
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+ default: true
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+ - config_name: size_variation
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+ data_files: size_variation.parquet
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  - config_name: contrastive_probing
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+ data_files: contrastive_probing.parquet
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+ dataset_info:
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+ features:
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+ - name: index
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+ dtype: int64
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+ - name: image
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+ dtype: image
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+ - name: question
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+ dtype: string
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+ - name: answer
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+ dtype: string
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  ---
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  # SpatialTunnel
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  SpatialTunnel is a Blender-rendered diagnostic dataset for studying how vision-language models represent spatial relations internally. It was introduced in **Why Far Looks Up: Probing Spatial Representation in Vision-Language Models** ([arXiv:2605.30161](https://arxiv.org/abs/2605.30161)).
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+ ## Resources
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  - [Project page](https://cheolhong0916.github.io/whyfarlooksup.github.io/)
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  - [Contrastive-probing code](https://github.com/cheolhong0916/contrastive-probing)
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  - [SpatialTunnel generation code](https://github.com/cube-c/spatialtunnel-dataset-gen)
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+ ## Dataset Configurations
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  | Config | File | Rows | Description |
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  |---|---|---|---|
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+ | `phase_variation` | `phase_variation.parquet` | 3,072 | Distance questions with controlled angular-position variation. |
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+ | `size_variation` | `size_variation.parquet` | 1,100 | Distance questions under controlled object-size variation. |
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+ | `contrastive_probing` | `contrastive_probing.parquet` | 1,200 | Balanced spatial-relation questions for contrastive probing. |
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  ## Format
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+ All configurations use Parquet files with the following columns:
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  | Column | Description |
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  |---|---|
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  | `index` | Row index within the selected config. |
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+ | `image` | PNG image stored as a Hugging Face `Image` feature. |
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  | `question` | Spatial question to ask the model. |
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  | `answer` | Ground-truth answer for the row. |
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+ `contrastive_probing.tsv` is a TSV file for compatibility with the [contrastive-probing code](https://github.com/cheolhong0916/contrastive-probing).
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+
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  ---
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  ## Citation
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+ size 380592883
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phase_variation.tsv → phase_variation.parquet RENAMED
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+ size 971229673
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+ version https://git-lfs.github.com/spec/v1
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