Add datasets to Garden

from garden_ai.mlmodel import ModelMetadata, DatasetConnection
from garden_ai import local_data

dc1 = DatasetConnection(
    title="Benchmark Dataset for Locating Atoms in STEM images",
    doi="10.18126/e73h-3w6n",
    url="https://foundry-ml.org/#/datasets/10.18126%2Fe73h-3w6n",
    repository="Foundry",
)

dc2 = DatasetConnection(
    title="Training Dataset for Locating Atoms in STEM images",
    doi="10.18126/qsdl-aj6x",
    url="https://foundry-ml.org/#/datasets/10.18126%2Fqsdl-aj6x",
    repository="Foundry",
)

just_one = ModelMetadata(
    model_identifier="Atom Position Finder",
    model_repository="GitHub",
    model_version="1.0",
    datasets=[dc1]
)

both = ModelMetadata(
    model_identifier="Atom Position Finder",
    model_repository="GitHub",
    model_version="1.0",
    datasets=[dc1, dc2]
)

need_one = ["10.26311/8s9h-dz64", "10.26311/bf7a-7071"]
need_both = ["10.26311/e2mw-qf63", "10.26311/b6zb-ns88", "10.26311/q6e2-2p11", "10.26311/bkk2-gc19", "10.26311/k2bk-hw50", "10.26311/bgb7-k519", "10.26311/x13g-7f17", "10.26311/s8hf-3v65"]

for doi in need_one:
    ep = local_data.get_local_entrypoint_by_doi(doi)
    ep.models.clear()
    ep.models.append(just_one)
    local_data.put_local_entrypoint(ep)

for doi in need_both:
    ep = local_data.get_local_entrypoint_by_doi(doi)
    ep.models.clear()
    ep.models.append(both)
    local_data.put_local_entrypoint(ep)