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Bug: License Metadata Inconsistency

The _create_metadata method still hardcodes CC BY-NC 4.0 license details, including commercial_license_required=True and license_contact. This creates inconsistent licensing in generated datasets, as the embedded metadata contradicts the project's Apache 2.0 license, CLI messages, and README.

graid/src/graid/data/generate_dataset.py#L1495-L1498

graid/graid/src/graid/data/generate_dataset.py

Lines 1495 to 1498 in bd606a4

	# Create repository
	create_repo(
	hub_repo_id, repo_type="dataset", private=hub_private, exist_ok=True
	)

graid/src/graid/data/generate_dataset.py#L1299-L1302

graid/graid/src/graid/data/generate_dataset.py

Lines 1299 to 1302 in bd606a4

	4. HuggingFace dataset construction with embedded PIL images
	5. Optional local saving and Hub upload
	Key Features:

graid/src/graid/data/generate_dataset.py#L1618-L1622

graid/graid/src/graid/data/generate_dataset.py

Lines 1618 to 1622 in bd606a4

	Raises:
	KeyboardInterrupt: If user cancels the selection process
	Example:

graid/src/graid/data/generate_dataset.py#L1068-L1071

graid/graid/src/graid/data/generate_dataset.py

Lines 1068 to 1071 in bd606a4

	dataset = dataset.cast_column("image", HFImage())
	# Add metadata
	metadata = self._create_metadata()

graid/src/graid/data/generate_dataset.py#L1423-L1427

graid/graid/src/graid/data/generate_dataset.py

Lines 1423 to 1427 in bd606a4

	>>> from graid.models import YoloModel, DetectronModel
	>>> models = [YoloModel("yolov8x.pt"), DetectronModel("COCO-Detection/faster_rcnn_R_50_FPN_3x.yaml")]
	>>> dataset = generate_dataset(
	... dataset_name="bdd",
	... split="train",

graid/src/graid/data/generate_dataset.py#L1435-L1438

graid/graid/src/graid/data/generate_dataset.py

Lines 1435 to 1438 in bd606a4

	... hub_repo_id="myuser/bdd-reasoning-dataset"
	... )
	Custom question configuration:

graid/src/graid/data/generate_dataset.py#L1030-L1033

graid/graid/src/graid/data/generate_dataset.py

Lines 1030 to 1033 in bd606a4

	f"Processed {processed_images} images, generated {total_qa_pairs} QA pairs"
	)
	def build(self):

graid/src/graid/data/generate_dataset.py#L1356-L1363

graid/graid/src/graid/data/generate_dataset.py

Lines 1356 to 1363 in bd606a4

	num_workers (int): Number of parallel workers for data loading.
	Should typically match CPU core count. Default: 4
	qa_workers (int): Number of parallel workers for QA generation.
	- 1: Sequential processing (debugging, memory-limited)
	- >1: Parallel processing (production, high-throughput)
	Recommended: 2-4x CPU cores. Default: 4

 

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