List of selected GRAB training sequences
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 10
- Forks
- 3
- PR merge metrics
- No merged PRs in 30d
Description
Hello, excellent work!
I’m trying to reproduce your results and ran into a question about data filtering. The paper mentions you selected 658 single-hand sequences from GRAB for training, but the original dataset contains quite a few sequences that aren’t suitable for single-hand manipulation — like lifting clips and bimanual interaction tasks.
I was wondering if you have a concrete list (e.g. sequence IDs / indices) of exactly which 658 clips were used for training . It would help a lot for alignment if you could share it.
Thanks!
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file or test is named; start by checking the paper’s description of the 658 GRAB training sequences against the original dataset metadata. Done means publishing a concrete sequence ID or index list that reproduces the stated single-hand training subset.
Written by the indexing model from the issue text.
Assessment
- Domain
- data, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100