import datasets
import os
from pathlib import Path
_DESCRIPTION = """
CameraBench Binary Evaluation Dataset with video frames and optical flow visualizations.
"""
class CameraBenchConfig(datasets.BuilderConfig):
    """BuilderConfig for CameraBench."""
    def __init__(self, **kwargs):
        super(CameraBenchConfig, self).__init__(**kwargs)
class CameraBench(datasets.GeneratorBasedBuilder):
    """CameraBench dataset with frames and optical flows."""
    VERSION = datasets.Version("1.0.0")
    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features({
                "video_name": datasets.Value("string"),
                "video_path": datasets.Value("string"),
                "frames_path": datasets.Value("string"),
                "optical_flows_path": datasets.Value("string"),
                "first_frame": datasets.Image(),
                "first_flow": datasets.Image(),
                "num_frames": datasets.Value("int32"),
                "num_flows": datasets.Value("int32"),
                "question": datasets.Value("string"),
                "label": datasets.Value("string"),
                "task": datasets.Value("string"),
                "label_name": datasets.Value("string"),
            })
        )
    def _split_generators(self, dl_manager):
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={"metadata_path": "data.jsonl"},
            ),
        ]
    def _generate_examples(self, metadata_path):
        import json
        idx = 0
        with open(metadata_path, "r") as f:
            for line in f:
                record = json.loads(line)
                yield idx, record
                idx += 1