Datasets:
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e1ced61 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | """C1/C2 structured-source adapters (``docs/02`` §4).
A *structured source* is a C1 source whose gold authority is a
machine-checkable certificate built from a structured world (PlotQA,
Geometry3K) rather than a human label. Each adapter implements
:class:`~explicit_learning.sources.base.StructuredSourceAdapter`.
The registry maps a structured-source name (as it appears in
``resources/structured_sources.*``) to its adapter class. The HF-dataset
importers in :mod:`explicit_learning.ingest` are a separate, non-structured
ingest path keyed by ``resources.datasets.*``.
"""
from __future__ import annotations
from .base import (
ADAPTERS,
AdapterError,
CertificateTier,
Channel,
RawItem,
StructuredSourceAdapter,
World,
)
from .clevr import ClevrAdapter
from .geometry3k import Geometry3KAdapter
from .gqa import GQAAdapter
from .plotqa import PlotQAAdapter
# Populate the registry after the concrete adapters import cleanly, so the
# shared protocol module (base.py) stays free of a circular import.
ADAPTERS["plotqa"] = PlotQAAdapter
ADAPTERS["geometry3k"] = Geometry3KAdapter
ADAPTERS["clevr"] = ClevrAdapter
ADAPTERS["gqa"] = GQAAdapter
__all__ = [
"ADAPTERS",
"AdapterError",
"CertificateTier",
"Channel",
"ClevrAdapter",
"GQAAdapter",
"Geometry3KAdapter",
"PlotQAAdapter",
"RawItem",
"StructuredSourceAdapter",
"World",
]
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