| 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 |