initial commit
Browse files- .gitattributes +1 -0
- GamePhysics_GTAV.py +100 -0
- README.md +122 -2
- gta-v.tar.gz +3 -0
.gitattributes
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*.mp3 filter=lfs diff=lfs merge=lfs -text
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*.ogg filter=lfs diff=lfs merge=lfs -text
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*.wav filter=lfs diff=lfs merge=lfs -text
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*.mp3 filter=lfs diff=lfs merge=lfs -text
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*.ogg filter=lfs diff=lfs merge=lfs -text
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*.wav filter=lfs diff=lfs merge=lfs -text
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*.tar.gz filter=lfs diff=lfs merge=lfs -text
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GamePhysics_GTAV.py
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"""mini-GamePhysics test Dataset """
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from __future__ import absolute_import, division, print_function
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import csv
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import json
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import os
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import datasets
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from datasets import Dataset
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# TODO: Add BibTeX citation
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# Find for instance the citation on arxiv or on the dataset repo/website
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_CITATION = """\
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@article{taesiri2022clip,
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title={CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot transfer learning},
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author={Taesiri, Mohammad Reza and Macklon, Finlay and Bezemer, Cor-Paul},
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journal={arXiv preprint arXiv:2203.11096},
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year={2022}
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}
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"""
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# TODO: Add description of the dataset here
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# You can copy an official description
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_DESCRIPTION = """\
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A test dataset for GamePhysics
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"""
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# TODO: Add a link to an official homepage for the dataset here
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_HOMEPAGE = "https://asgaardlab.github.io/CLIPxGamePhysics/"
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# TODO: Add the licence for the dataset here if you can find it
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_LICENSE = ""
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# TODO: Add link to the official dataset URLs here
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# The HuggingFace dataset library don't host the datasets but only point to the original files
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# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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_URLS = {
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"Grand_Theft_Auto_V": "https://huggingface.co/datasets/taesiri/GamePhysics_Grand_Theft_Auto_V/resolve/main/gta-v.tar.gz"
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}
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_NAMES = ["Grand_Theft_Auto_V"]
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class GamePhysics_Grand_Theft_Auto_VConfig(datasets.BuilderConfig):
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"""BuilderConfig for GamePhysics."""
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def __init__(self, **kwargs):
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"""BuilderConfig for GamePhysics_Grand_Theft_Auto_V.
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Args:
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**kwargs: keyword arguments forwarded to super.
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"""
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super(GamePhysics_Grand_Theft_Auto_VConfig, self).__init__(
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version=datasets.Version("0.0.1", ""), **kwargs
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)
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class GamePhysics_Grand_Theft_Auto_V(datasets.GeneratorBasedBuilder):
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"""Test dataset for GamePhysics"""
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BUILDER_CONFIGS = [
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GamePhysics_Grand_Theft_Auto_VConfig(
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name="GamePhysics_Grand_Theft_Auto_V",
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description="GamePhysics - Grand Theft Auto V",
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)
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]
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"video_file_path": datasets.Value("string"),
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"labels": datasets.features.ClassLabel(names=_NAMES),
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}
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),
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supervised_keys=None,
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homepage=_HOMEPAGE,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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data_files = dl_manager.download_and_extract(_URLS)
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return [
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datasets.SplitGenerator(
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name="Grand_Theft_Auto_V",
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gen_kwargs={
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"files": dl_manager.iter_files([data_files["Grand_Theft_Auto_V"]]),
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},
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),
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]
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def _generate_examples(self, files):
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for i, path in enumerate(files):
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file_name = os.path.basename(path)
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if file_name.endswith(".mp4"):
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yield i, {"video_file_path": path, "labels": "Grand_Theft_Auto_V"}
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README.md
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---
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-
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-
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---
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annotations_creators:
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- no-annotation
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languages:
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- en
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# Dataset Card for GamePhysics_Grand_Theft_Auto_V
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-instances)
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- [Data Splits](#data-instances)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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## Dataset Description
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- **Homepage:** https://asgaardlab.github.io/CLIPxGamePhysics/
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- **Repository:** https://github.com/asgaardlab/CLIPxGamePhysics
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- **Paper:** CLIP meets GamePhysics
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- **Leaderboard:** [N/A]
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- **Point of Contact:** [Mohammad Reza Taesiri](mailto:[email protected])
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### Dataset Summary
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The GamePhysics Grand Theft Auto V dataset is a small video dataset of buggy gameplay videos of Grand Theft Auto V game, collected from [GamePhysics](https://www.reddit.com/r/GamePhysics/) subrredit
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### Supported Tasks and Leaderboards
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[N/A]
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### Languages
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[Needs More Information]
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## Dataset Structure
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### Data Instances
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[Needs More Information]
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### Data Fields
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[Needs More Information]
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### Data Splits
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[Needs More Information]
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## Dataset Creation
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### Curation Rationale
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[Needs More Information]
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### Source Data
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#### Initial Data Collection and Normalization
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[Needs More Information]
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#### Who are the source language producers?
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[Needs More Information]
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### Annotations
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#### Annotation process
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[Needs More Information]
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#### Who are the annotators?
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[Needs More Information]
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### Personal and Sensitive Information
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[Needs More Information]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[Needs More Information]
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### Discussion of Biases
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[Needs More Information]
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### Other Known Limitations
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[Needs More Information]
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## Additional Information
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### Dataset Curators
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[Needs More Information]
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### Licensing Information
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[Needs More Information]
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### Citation Information
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[Needs More Information]
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gta-v.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:c26ae07fd21d09830f71feb6b507787475dacc84e9626ef982cae7cd24466abf
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size 2240831357
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