from datasets import load_dataset_builder, GeneratorBasedBuilder, SplitGenerator, DatasetInfo, Value, Split

class GestureVideoDataset(GeneratorBasedBuilder):
    def _info(self):
        return DatasetInfo(
            features={
                "video_id": Value("string"),
                "start_time": Value("float"),
                "end_time": Value("float"),
                "filename": Value("string"),
                "num_frames": Value("int32"),
                "phrase": Value("string"),
                "target_word": Value("string"),
                "target_word_boundary": Value("string"),
                "word_boundaries": Value("string"),
                "stress_label": Value("int32"),
            }
        )

    def _split_generators(self, dl_manager):
        data_path = dl_manager.download_and_extract("https://huggingface.co/datasets/sindhuhegde/avs-spot/resolve/main/dataset.csv")
        return [SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": data_path})]

    def _generate_examples(self, filepath):
        import csv
        with open(filepath, encoding="utf-8") as f:
            reader = csv.DictReader(f)
            for i, row in enumerate(reader):
                yield i, row