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GamePhysics_Grand_Theft_Auto_V

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GamePhysics_Grand_Theft_Auto_V / GamePhysics_Grand_Theft_Auto_V.py

taesiri

Renaming the generator

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	"""mini-GamePhysics test Dataset """

	from __future__ import absolute_import, division, print_function

	import csv
	import json
	import os

	import datasets
	from datasets import Dataset


	# TODO: Add BibTeX citation
	# Find for instance the citation on arxiv or on the dataset repo/website
	_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}
	}
	"""


	# TODO: Add description of the dataset here
	# You can copy an official description
	_DESCRIPTION = """\
	A test dataset for GamePhysics
	"""

	# TODO: Add a link to an official homepage for the dataset here
	_HOMEPAGE = "https://asgaardlab.github.io/CLIPxGamePhysics/"

	# TODO: Add the licence for the dataset here if you can find it
	_LICENSE = ""

	# TODO: Add link to the official dataset URLs here
	# The HuggingFace dataset library don't host the datasets but only point to the original files
	# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)

	_URLS = {
	"Grand_Theft_Auto_V": "https://huggingface.co/datasets/taesiri/GamePhysics_Grand_Theft_Auto_V/resolve/main/gta-v.tar.gz"
	}

	_NAMES = ["Grand_Theft_Auto_V"]


	class GamePhysics_Grand_Theft_Auto_VConfig(datasets.BuilderConfig):
	"""BuilderConfig for GamePhysics."""

	def __init__(self, **kwargs):
	"""BuilderConfig for GamePhysics_Grand_Theft_Auto_V.
	Args:
	**kwargs: keyword arguments forwarded to super.
	"""
	super(GamePhysics_Grand_Theft_Auto_VConfig, self).__init__(
	version=datasets.Version("0.0.1", ""), **kwargs
	)


	class GamePhysics_Grand_Theft_Auto_V(datasets.GeneratorBasedBuilder):
	"""Test dataset for GamePhysics"""

	BUILDER_CONFIGS = [
	GamePhysics_Grand_Theft_Auto_VConfig(
	name="GamePhysics_Grand_Theft_Auto_V",
	description="GamePhysics - Grand Theft Auto V",
	)
	]

	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="Grand_Theft_Auto_V",
	gen_kwargs={
	"files": dl_manager.iter_files([data_files["Grand_Theft_Auto_V"]]),
	},
	),
	]

	def _generate_examples(self, files):
	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"}