khammami/forcis
Dataset Card for Processed FORCIS Data Dataset Name: Processed FORCIS Data Source: FRBCesab/forcis (originally from Zenodo: https://zenodo.org/records/12724286) Description: This dataset is a processed version of the FORCIS data, obtained from Zenodo. The original data uses a custom delimiter (;) and may contain leading/trailing whitespace and special characters. This processed version addresses these issues and provides a clean, comma-separated values (CSV) format for easier… See the full description on the dataset page: https://huggingface.co/datasets/khammami/forcis.
Dataset Card for Processed FORCIS Data
Dataset Name: Processed FORCIS Data
Source: FRBCesab/forcis (originally from Zenodo: https://zenodo.org/records/12724286)
Description:
This dataset is a processed version of the FORCIS data, obtained from Zenodo. The original data uses a custom delimiter (;) and may contain leading/trailing whitespace and special characters. This processed version addresses these issues and provides a clean, comma-separated values (CSV) format for easier use.
Processing Steps:
The processing steps involved:
- Data Acquisition: Downloaded the FORCIS data from Zenodo.
- Cleaning:
- Removed leading/trailing whitespace from each line.
- Escaped special characters for safekeeping.
- Formatting:
- Converted the data to comma-separated values (CSV) format.
- Missing Value Correction:
- Added a "data_type" column where missing in some CSVs
- Validated data consistency across all columns
Data Format:
- Format: Comma-separated values (CSV)
- Encoding: UTF-8
- Line endings: LF (Unix-style)
- First row: Header with column names
- Missing values: Represented as "NA"
License:
This processed dataset is available under GPL-2.0 license. For the original FORCIS data license terms, please refer to the Zenodo repository at doi.org/10.5281/zenodo.12724286.
Usage Notes:
- This dataset is intended for researchers and data scientists interested in working with the FORCIS data
- Familiarity with the original FORCIS data structure is recommended for optimal use
- Each CSV contains consistent column headers and data types
- Data types include:
- Numeric: Float and Integer values
- Categorical: String values
- Temporal: Date/Time values
- Missing values (NA) should be handled appropriately in analysis
- Consider memory requirements when loading the complete merged dataset
Citation:
To acknowledge the use of this processed FORCIS data, please cite:
- Original Dataset (v10): <https://doi.org/10.5281/zenodo.12724286>
- Processed Dataset:
@dataset{processed_forcis_2024,
title={Processed FORCIS Data},
author={Hammami, Khalil},
version={1.0},
note={Based on FORCIS v10},
year={2024},
publisher={Hugging Face},
url={<https://huggingface.co/datasets/khammami/forcis}>
}