| """GamePhysics Dataset""" | |
| from __future__ import absolute_import, division, print_function | |
| import os | |
| import csv | |
| import json | |
| import datasets | |
| import urllib.request | |
| from datasets import Dataset | |
| _CITATION = """\ | |
| @article{taesiri2022clip, | |
| title={CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot transfer learning}, | |
| author={Taesiri, Mohammad Reza and Macklon, Finlay and Bezemer, Cor-Paul}, | |
| journal={arXiv preprint arXiv:2203.11096}, | |
| year={2022} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| GamePhysics dataset | |
| """ | |
| _HOMEPAGE = "https://asgaardlab.github.io/CLIPxGamePhysics/" | |
| _LICENSE = "MIT" | |
| with urllib.request.urlopen( | |
| "https://huggingface.co/datasets/taesiri/GamePhysics/raw/main/list_of_games.json" | |
| ) as url: | |
| _GAMEs = json.loads(url.read().decode()) | |
| _URLs = { | |
| k: f"https://huggingface.co/datasets/taesiri/GamePhysics/resolve/main/data/{v}" | |
| for k, v in _GAMEs.items() | |
| } | |
| _NAMES = [k for k, v in _GAMEs.items()] | |
| class GamePhysics_Config(datasets.BuilderConfig): | |
| """BuilderConfig for GamePhysics.""" | |
| def __init__(self, **kwargs): | |
| """BuilderConfig for GamePhysics_Config. | |
| Args: | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super(GamePhysics_Config, self).__init__( | |
| version=datasets.Version("1.0.1", ""), **kwargs | |
| ) | |
| class GamePhysics(datasets.GeneratorBasedBuilder): | |
| """GamePhysics dataset""" | |
| BUILDER_CONFIGS = [ | |
| GamePhysics_Config( | |
| name="GamePhysics", | |
| description="GamePhysics dataset", | |
| ) | |
| ] | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "video_file_path": datasets.Value("string"), | |
| "labels": datasets.features.ClassLabel(names=_NAMES), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| data_files = dl_manager.download_and_extract(_URLs) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=game_name, | |
| gen_kwargs={"files": dl_manager.iter_files([data_files[game_name]])}, | |
| ) | |
| for game_name in _GAMEs.keys() | |
| ] | |
| def _generate_examples(self, files, split): | |
| for i, path in enumerate(files): | |
| file_name = os.path.basename(path) | |
| if file_name.endswith(".mp4"): | |
| yield i, {"video_file_path": path, "labels": "Grand_Theft_Auto_V"} | |