facebookresearch / facebookresearch/sonata
Table 1 ScanNet++ split in Sonata Paper
- Dominant language
- Python
- Stars
- 795
- Forks
- 56
- PR merge metrics
- No merged PRs in 30d
Description
Great work on exploring self-supervised learning with pure point cloud data! I was reading your paper and noticed that the ScanNet++ statistics in Table 1 don’t seem to match the version of the dataset I have. From what I know, version 2 should include 856 training scenes, 50 validation scenes, and 50 test scenes. Could you clarify if I’m mistaken or if you used a different split?

Contributor guide
Research direction
Start by reading Table 1 in the Sonata paper and checking which ScanNet++ dataset version and split it reports. Compare those figures with the stated version 2 counts of 856 training, 50 validation, and 50 test scenes; done means clarifying the discrepancy or correcting the reported statistics. No files or tests are named in the issue.
Written by the indexing model from the issue text.
Assessment
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100