| # ScanNet v5 axis-white SFT data |
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| This package contains the user-approved ScanNet v5 SFT data used for the Qwen3.5-0.8B training and evaluation runs. |
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| ## Contents |
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| - `scannet_v5_axiswhite_edbffd1_stable_train.tar.zst`: stable training split, 8,000 samples and 8,000 PNG images. |
| - `scannet_v5_axiswhite_edbffd1_stable_eval.tar.zst`: stable evaluation split, 1,000 samples and 1,000 PNG images. |
| - `scannet_v5_axiswhite_edbffd1_diverse4_train.tar.zst`: diverse4 training split, 8,000 samples and 8,000 PNG images. |
| - `scannet_v5_axiswhite_edbffd1_diverse4_eval.tar.zst`: diverse4 evaluation split, 1,000 samples and 1,000 PNG images. |
| - `metadata/`: source manifests. |
| - `SOURCE_IDENTITY.txt`: source version and accepted exception. |
| - `SHA256SUMS`: package checksums. |
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| ## Download |
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| This public dataset uses manual access approval. Request access on the dataset page first, then authenticate and download: |
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| ```bash |
| hf auth login |
| hf download XueyingJiang/experiment_data --repo-type dataset --local-dir ./experiment_data |
| cd ./experiment_data |
| sha256sum -c SHA256SUMS |
| ``` |
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| The download command is resumable. Running it again continues or verifies files already present in the local directory. |
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| ## Extraction |
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| Run all commands in the same destination directory: |
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| ```bash |
| tar --use-compress-program=unzstd -xf scannet_v5_axiswhite_edbffd1_stable_train.tar.zst |
| tar --use-compress-program=unzstd -xf scannet_v5_axiswhite_edbffd1_stable_eval.tar.zst |
| tar --use-compress-program=unzstd -xf scannet_v5_axiswhite_edbffd1_diverse4_train.tar.zst |
| tar --use-compress-program=unzstd -xf scannet_v5_axiswhite_edbffd1_diverse4_eval.tar.zst |
| sha256sum -c SHA256SUMS |
| ``` |
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| After extraction, data is arranged under `stable/{train,val}` and `diverse4/{train,val}`. |
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| ## Visual convention |
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| For the two local-coordinate vector tasks, the true 0.5 m scale is integrated into one positive X, Y, or Z axis. The segment from the coordinate origin to the 0.5 m tick is white and labeled `0.5 m`. |
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| ## Known accepted exception |
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| The user accepted that stable training sample `scannet_v5_stable_train_004274` has a roll reference arc whose projection appears close to a straight line. The full validator was interrupted at this sample, so this package must not be described as having passed that validator without exception. |
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