| import datasets | |
| import json | |
| from os import listdir | |
| from os.path import isfile, join | |
| _CITATION = "" | |
| _DESCRIPTION = "Dataset for training agents with Maze-v0 environment." | |
| _HOMEPAGE = "https://huggingface.co/datasets/NathanGavenski/imagetrain" | |
| _LICENSE = "" | |
| _REPO = "https://huggingface.co/datasets/NathanGavenski/imagetrain" | |
| class ImageSet(datasets.GeneratorBasedBuilder): | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features({ | |
| "obs": datasets.Value("string"), | |
| "actions": datasets.Value("int32"), | |
| "rewards": datasets.Value("float32"), | |
| "episode_starts": datasets.Value("bool"), | |
| "maze": datasets.Value("string"), | |
| }), | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| image_path = dl_manager.download_and_extract(f"{_REPO}/resolve/main/images.tar.gz") | |
| info_path = dl_manager.download_and_extract(f"{_REPO}/resolve/main/dataset.tar.gz") | |
| return [ | |
| datasets.SplitGenerator( | |
| name="all_routes", | |
| gen_kwargs={ | |
| "images": image_path, | |
| "infos": f"{info_path}/all_routes.jsonl" | |
| } | |
| ), | |
| datasets.SplitGenerator( | |
| name="single_route", | |
| gen_kwargs={ | |
| "images": image_path, | |
| "infos": f"{info_path}/single_route.jsonl" | |
| } | |
| ), | |
| datasets.SplitGenerator( | |
| name="shortest_route", | |
| gen_kwargs={ | |
| "images": image_path, | |
| "infos": f"{info_path}/shortest_route.jsonl" | |
| } | |
| ), | |
| ] | |
| def _generate_examples(self, images, infos): | |
| images_paths = f"{images}/images" | |
| images = [join(images_paths, f) for f in listdir(images_paths) if isfile(join(images_paths, f))] | |
| images_dict = {} | |
| for image in images: | |
| images_dict[image.split("/")[-1].split(".")[0]] = image | |
| with open(infos, encoding="utf-8") as data: | |
| for idx, line in enumerate(data): | |
| record = json.loads(line) | |
| index = record["obs"].split(".")[0] | |
| yield idx, { | |
| "obs": images_dict[index], | |
| "actions": record["actions"], | |
| "rewards": record["rewards"], | |
| "episode_starts": record["episode_starts"], | |
| "maze": record["maze"], | |
| } | |