mvp-engine
Collection
mvp-engine • 4 items • Updated
input stringclasses 1
value | main_uri stringclasses 1
value | output stringclasses 1
value | parquet_count int64 1 1 | ref_columns dict | row_count int64 5k 5k | source_column stringclasses 1
value | version int64 1 1 |
|---|---|---|---|---|---|---|---|
/mnt/data-alpha-sg-01/team-camera/shared/mvp-engine/data/Open-Bee/Bee-Training-Data-Stage1/data/train-00000-of-00100.parquet | samples.lance | . | 1 | {
"images": {
"key_column": "ref_id",
"uri": "images.lance",
"value_column": "images"
}
} | 5,000 | __source__ | 1 |
/mnt/data-alpha-sg-01/team-camera/shared/mvp-engine/data/Open-Bee/Bee-Training-Data-Stage1/data/train-00000-of-00100.parquet | samples.lance | . | 1 | {
"images": {
"key_column": "ref_id",
"uri": "images.lance",
"value_column": "images"
}
} | 5,000 | __source__ | 1 |
This dataset is a 5,000-sample Lance demo slice from OpenBee stage1 data for the
recipes/basic_vlm stage1 alignment workflow in mvp-engine.
meta.json: mvp_dataset Lance source config.samples.lance: main sample table.images.lance: image reference table used by meta.json.Download the dataset into data/Open-Bee-Lance/stage1 in an mvp-engine
checkout, then run Basic VLM stage1 with:
torchrun --nproc_per_node=8 -m mvp_engine.launch --config ./recipes/basic_vlm/configs/stage1.yaml
The default stage1.yaml already points to:
./data/Open-Bee-Lance/stage1/meta.json