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2.0.0 DatasetPreparator Release
What's Changed
- Attempt to fix the CLA bot by @Ostrzyciel in #23
- CI and Makefile consistency fixes by @Ostrzyciel in #27
- [PR] Breaking Changes to DEV, Change CLA Configuration on main by @Kaszanas in #30
- Make the CI pass by @Ostrzyciel in #32
- Improve the README a bit by @Ostrzyciel in #35
- [PR] Refactoring Replaypack Processor, Quality Changes by @Kaszanas in #36
- [PR] Draft of Docker Docs by @Kaszanas in #41
- [PR] Bumped Dependency Versions by @Kaszanas in #45
- [PR] Renamed dir_packager to directory_packager by @Kaszanas in #47
- [PR] Mounting curdir as a dot by @Kaszanas in #49
- [PR] Default Flag Values for Golang by @Kaszanas in #52
- [PR] Ran Tests, Fixing Commands by @Kaszanas in #54
- [PR] Copying Scripts to Top in Docker Images by @Kaszanas in #56
- [PR] Added Docker Releases On main,dev Push and Release by @Kaszanas in #58
- [PR] Added Maps Needed for SC2InfoExtractorGo by @Kaszanas in #60
- [PR] 63 prompt user possible overwrite by @Kaszanas in #64
- 65 parallel directory flattener by @Kaszanas in #67
- [PR] Multithreading in Directory Packager by @Kaszanas in #68
- [PR] Attempting to Fix Tests by @Kaszanas in #69
- [PR] 37 sc2egset processing pipeline by @Kaszanas in #70
- [PR] Refined Documentation by @Kaszanas in #71
- [PR] Preparing 2.0 Release by @Kaszanas in #39
New Contributors
- @Ostrzyciel made their first contribution in #23
Full Changelog: 1.2.0...2.0.0
DatasetPreparator
This project contains various scripts that can assist in the process of preparing datasets. To have a broad overview of the tools please refer to the Detailed Tools Description.
Tools in this repository were used to create the SC2ReSet: StarCraft II Esport Replaypack Set, and finally SC2EGSet: StarCraft II Esport Game State Dataset, citation information Cite Us!.
Installation
Note
To run this project there are some prerequisites that you need to have installed on your system:
- Docker
- Optional make (if you do not wish to use make, please refer to the commands defined in the
makefileand run them manually)
Our prefered way of distributing the toolset is through DockerHub. We use the Docker Image to provide a fully reproducible environment for our scripts.
To pull the image from DockerHub, run the following command:
docker pull kaszanas/datasetpreparator:latestIf you wish to clone the repository and build the Docker image yourself, run the following command:
make docker_buildAfter building the image, please refer to the Command Line Arguments Usage section for the usage of the scripts and for a full description for each of the scripts refer to Detailed Tools Description.
Command Line Arguments Usage
When using Docker, you will have to pass the arguments through the docker run command and mount the input/output directory. Below is an example of how to run the directory_flattener script using Docker. For ease of use we have prepared example directory structure in the processing directory. The command below uses that to issue a command to flatten the directory structure:
docker run -rm \
-v ".\processing:/app/processing" \
datasetpreparator:latest \
python3 directory_flattener.py \
--input_path ./processing/input/directory_flattener \
--output_path ./processing/output/directory_flattener \
--n_processes 8 \
--force_overwrite True \SC2EGSet Dataset Reproduction Steps
Note
Instructions below are for reproducing the result of the SC2EGSet dataset. If you wish to use the tools in this repository separately for your own dataset, please refer to the Detailed Tools Description.
Using Docker
We provide a release image containing all of the scripts. To see the usage of these scripts please refer to their respective README.md files as described in Detailed Tools Description.
The following steps were used to prepare the SC2ReSet and SC2EGSet datasets:
- Build the docker image for the DatasetPreparator using the provided
makefiletarget:make docker_build. This will load all of the dependencies such as the SC2InfoExtractorGo. - Place the input replaypacks into
./processing/input/directory_flattenerdirectory. - Run the command
make sc2reset_sc2egset_pipelineto process the replaypacks and create the datasets. The output will be placed in./processing/output/SC2ReSetand./processing/output/SC2EGSetdirectories.
Detailed Tools Description
Each of the scripts has its usage described in their respective README.md files, you can find the detailed description of the available tools below.
CLI Usage; Generic scripts
- Directory Packager (dir_packager): README
- Directory Flattener (directory_flattener): README
- File Renamer (file_renamer): README
- JSON Merger (json_merger): README
- Processed Mapping Copier (processed_mapping_copier): README
CLI Usage; StarCraft 2 Specific Scripts
- SC2 Map Downloader (sc2_map_downloader): README
- SC2EGSet Pipeline (sc2egset_pipeline): README
- SC2EGSet Replaypack Processor (sc2egset_replaypack_processor): README
- SC2ReSet Replaypack Downloader (sc2reset_replaypack_downloader): README
Contributing and Reporting Issues
If you want to report a bug, request a feature, or open any other issue, please do so in the issue tracker.
Please see CONTRIBUTING.md for detailed development instructions and contribution guidelines.
Cite Us!
This Repository
SC2EGSet: Dataset Description
@article{Bialecki2023_SC2EGSet,
author = {Bia{\l}ecki, Andrzej
and Jakubowska, Natalia
and Dobrowolski, Pawe{\l}
and Bia{\l}ecki, Piotr
and Krupi{\'{n}}ski, Leszek
and Szczap, Andrzej
and Bia{\l}ecki, Robert
and Gajewski, Jan},
title = {SC2EGSet: StarCraft II Esport Replay and Game-state Dataset},
journal = {Scientific Data},
year = {2023},
month = {Sep},
day = {08},
volume = {10},
number = {1},
pages = {600},
issn = {2052-4463},
doi = {10.1038/s41597-023-02510-7},
url = {https://doi.org/10.1038/s41597-023-02510-7}
}
@software{Białecki_2022_6366039,
author = {Białecki, Andrzej and
Białecki, Piotr and
Krupiński, Leszek},
title = {{Kaszanas/SC2DatasetPreparator: 1.2.0
SC2DatasetPreparator Release}},
month = {jun},
year = {2022},
publisher = {Zenodo},
version = {1.2.0},
doi = {10.5281/zenodo.5296664},
url = {https://doi.org/10.5281/zenodo.5296664}
}