"""swe_bench_verified_agentic: same data as swe_bench_verified, agentic bench.

Separate bench name so both variants coexist (single-turn oracle vs
multi-turn agent); source/split/fields identical — the difference lives
in the recipe (env loop + official harness scoring) and config."""

from ..registry import register_dataset
from ..spec import DatasetSpec


@register_dataset(
    DatasetSpec(
        name='swe_bench_verified_agentic',
        source='princeton-nlp/SWE-bench_Verified',
        split='test',
        task_type='agent',
        tags=['code', 'agent', 'swe'],
        requires=['docker'],
        description='SWE-bench Verified (agentic): multi-turn bash agent in '
                    'the per-instance /testbed container.',
    )
)
def swe_bench_verified_agentic():
    from .swe_bench_verified import _record_to_sample

    return _record_to_sample