<p align="center"><img src="https://github.com/packing-box/python-dsff/raw/main/docs/pages/imgs/logo.png"></p>
<h1 align="center">DataSet File Format <a href="https://twitter.com/intent/tweet?text=DataSet%20File%20Format%20-%20XSLX-based%20format%20for%20handling%20datasets.%0D%0ATiny%20library%20for%20handling%20a%20dataset%20as%20an%20XSLX%20and%20for%20converting%20it%20to%20ARFF,%20CSV%20or%20a%20FilelessDataset%20structure%20as%20for%20the%20Packing%20Box.%0D%0Ahttps%3a%2f%2fgithub%2ecom%2fpacking-box%2fpython-dsff%0D%0A&hashtags=python,dsff,machinelearning"><img src="https://img.shields.io/badge/Tweet--lightgrey?logo=twitter&style=social" alt="Tweet" height="20"/></a></h1>
<h3 align="center">Store a dataset in XSLX-like format.</h3>
[](https://pypi.python.org/pypi/dsff/)
[](https://python-dsff.readthedocs.io/en/latest/?badge=latest)
[](https://pypi.python.org/pypi/dsff/)
[](https://snyk.io/test/github/packing-box/python-dsff?targetFile=requirements.txt)
[](https://pypi.python.org/pypi/dsff/)
This library contains code for handling the DataSet File Format (DSFF) based on the XSLX format and for converting it to [ARFF](https://www.cs.waikato.ac.nz/ml/weka/arff.html) (for use with the [Weka](https://www.cs.waikato.ac.nz/ml/weka) framework), [CSV](https://www.rfc-editor.org/rfc/rfc4180) or a [FilelessDataset structure](https://docker-packing-box.readthedocs.io/en/latest/usage/datasets.html) (from the [Packing Box](https://github.com/packing-box/docker-packing-box)).
```sh
pip install --user dsff
```
## :sunglasses: Usage
**Creating a DSFF from a FilelessDataset**
```python
>>> import dsff
>>> with dsff.DSFF() as f:
f.write("/path/to/my-dataset") # folder of a FilelessDataset (containing data.csv, features.json and metadata.json)
f.to_arff() # creates ./my-dataset.arff
f.to_csv() # creates ./my-dataset.csv
# while leaving the context, ./my-dataset.dsff is created
```
**Creating a FilelessDataset from a DSFF**
```python
>>> import dsff
>>> with dsff.DSFF("/path/to/my-dataset.dsff") as f:
f.to_dataset() # creates ./[dsff-title] with data.csv, features.json and metadata.json
```
## :star: Related Projects
You may also like these:
- [Awesome Executable Packing](https://github.com/packing-box/awesome-executable-packing): A curated list of awesome resources related to executable packing.
- [Dataset of packed ELF files](https://github.com/packing-box/dataset-packed-elf): Dataset of ELF samples packed with many different packers.
- [Dataset of packed PE files](https://github.com/packing-box/dataset-packed-pe): Dataset of PE samples packed with many different packers.
- [Docker Packing Box](https://github.com/packing-box/docker-packing-box): Docker image gathering packers and tools for making datasets of packed executables.
## :clap: Supporters
[](https://github.com/packing-box/python-dsff/stargazers)
[](https://github.com/packing-box/python-dsff/network/members)
<p align="center"><a href="#"><img src="https://img.shields.io/badge/Back%20to%20top--lightgrey?style=social" alt="Back to top" height="20"/></a></p>
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"description": "<p align=\"center\"><img src=\"https://github.com/packing-box/python-dsff/raw/main/docs/pages/imgs/logo.png\"></p>\n<h1 align=\"center\">DataSet File Format <a href=\"https://twitter.com/intent/tweet?text=DataSet%20File%20Format%20-%20XSLX-based%20format%20for%20handling%20datasets.%0D%0ATiny%20library%20for%20handling%20a%20dataset%20as%20an%20XSLX%20and%20for%20converting%20it%20to%20ARFF,%20CSV%20or%20a%20FilelessDataset%20structure%20as%20for%20the%20Packing%20Box.%0D%0Ahttps%3a%2f%2fgithub%2ecom%2fpacking-box%2fpython-dsff%0D%0A&hashtags=python,dsff,machinelearning\"><img src=\"https://img.shields.io/badge/Tweet--lightgrey?logo=twitter&style=social\" alt=\"Tweet\" height=\"20\"/></a></h1>\n<h3 align=\"center\">Store a dataset in XSLX-like format.</h3>\n\n[](https://pypi.python.org/pypi/dsff/)\n[](https://python-dsff.readthedocs.io/en/latest/?badge=latest)\n[](https://pypi.python.org/pypi/dsff/)\n[](https://snyk.io/test/github/packing-box/python-dsff?targetFile=requirements.txt)\n[](https://pypi.python.org/pypi/dsff/)\n\n\nThis library contains code for handling the DataSet File Format (DSFF) based on the XSLX format and for converting it to [ARFF](https://www.cs.waikato.ac.nz/ml/weka/arff.html) (for use with the [Weka](https://www.cs.waikato.ac.nz/ml/weka) framework), [CSV](https://www.rfc-editor.org/rfc/rfc4180) or a [FilelessDataset structure](https://docker-packing-box.readthedocs.io/en/latest/usage/datasets.html) (from the [Packing Box](https://github.com/packing-box/docker-packing-box)).\n\n```sh\npip install --user dsff\n```\n\n## :sunglasses: Usage\n\n**Creating a DSFF from a FilelessDataset**\n\n```python\n>>> import dsff\n>>> with dsff.DSFF() as f:\n f.write(\"/path/to/my-dataset\") # folder of a FilelessDataset (containing data.csv, features.json and metadata.json)\n f.to_arff() # creates ./my-dataset.arff\n f.to_csv() # creates ./my-dataset.csv\n# while leaving the context, ./my-dataset.dsff is created\n```\n\n**Creating a FilelessDataset from a DSFF**\n\n```python\n>>> import dsff\n>>> with dsff.DSFF(\"/path/to/my-dataset.dsff\") as f:\n f.to_dataset() # creates ./[dsff-title] with data.csv, features.json and metadata.json\n```\n\n## :star: Related Projects\n\nYou may also like these:\n\n- [Awesome Executable Packing](https://github.com/packing-box/awesome-executable-packing): A curated list of awesome resources related to executable packing.\n- [Dataset of packed ELF files](https://github.com/packing-box/dataset-packed-elf): Dataset of ELF samples packed with many different packers.\n- [Dataset of packed PE files](https://github.com/packing-box/dataset-packed-pe): Dataset of PE samples packed with many different packers.\n- [Docker Packing Box](https://github.com/packing-box/docker-packing-box): Docker image gathering packers and tools for making datasets of packed executables.\n\n\n## :clap: Supporters\n\n[](https://github.com/packing-box/python-dsff/stargazers)\n\n[](https://github.com/packing-box/python-dsff/network/members)\n\n<p align=\"center\"><a href=\"#\"><img src=\"https://img.shields.io/badge/Back%20to%20top--lightgrey?style=social\" alt=\"Back to top\" height=\"20\"/></a></p>\n\n",
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