iterative / iterative/ldb-resources
Update dataset for the whole team
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- Python
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Description
Assume I have some storage. Then I created LDB dataset. Can I modify original data (add, delete, update) using `LDB`?
As far as I understand, `LDB` considers a storage immutable and `LDB` hasn't command to push new data items to the storage.
So I see just two ways to update data and share it:
1. update date directly in the storage -> re-index LDB dataset -> share index (#37); but the storage must be immutable.. or no?...
2. create new directory in the storage -> create new LDB storage -> share index; in other words, new data - new dataset
Case example:
* I have storage
* I created LDB dataset
* I added some data items in the LDB dataset workspace, reindexed, sync and commit it:
```bash
ldb index ./train --annotation-update merge
ldb sync
ldb commit -m "add new data items"
```
* now I want share updated dataset with teammates
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