.arff — Attribute-Relation File Format
Waikato Environment for Knowledge Analysis (WEKA) · 1990s
ARFF is a plain text file format used to store datasets for machine learning and data mining tasks.
Key Features
- Human-readable text-based format.
- Defines data attributes and their types clearly in a header.
- Suitable for tabular data and machine learning datasets.
- Widely supported by data mining and machine learning tools.
Best For
- Machine learning data preparation.
- Simple tabular data storage.
- Interoperability with WEKA.
- Data exchange in academic research.
Less Ideal For
- Storing large binary data (images, audio, video).
- Complex relational databases with many tables.
- Data requiring high compression ratios for storage.
- Highly sensitive data requiring encryption at rest.
Common Use Cases
- Storing datasets for training machine learning models.
- Sharing data between different data analysis tools.
- Representing structured data for research and experimentation.
- Input format for WEKA and other data mining software.
How to Open It
- Open with text editors like Notepad (Windows), TextEdit (macOS), or Gedit (Linux) to view the raw content.
- Import into data mining software such as WEKA (built-in support).
- Use libraries in programming languages like Python (e.g., pandas, scikit-learn) to load and process the data.
- Load into specialized data analysis platforms that support ARFF import.
What is a .arff file?
The Attribute-Relation File Format (ARFF) is a simple, text-based file format used for storing datasets, primarily in the field of machine learning and data mining. It's designed to be human-readable and easy to parse by computer programs. An ARFF file consists of two main parts: a data section that lists the instances or records, and a header section that defines the attributes (features) of the data and their types. This format is particularly popular with the WEKA data mining software.
Programs That Open .arff Files
| Platform | Program | ||
|---|---|---|---|
| Windows | WEKA | Free | Official |
| Notepad++ | Free | ||
| macOS | WEKA | Free | Official |
| TextEdit | Free | Official | |
| Linux | WEKA | Free | Official |
| Gedit | Free | ||
| Web Browser | Online ARFF Viewers/Converters | Free |
How to Convert .arff Files
| Format | Method |
|---|---|
| .CSV | WEKA Explorer, Python pandas library, Online converters |
| .JSON | Python pandas library, Online converters |
Common Problems with .arff Files
Frequently Asked Questions
No, ARFF is a plain text format and is not compressed by default. For compression, you would typically compress the entire file using tools like Gzip or Zip.
ARFF is primarily designed for tabular data with attributes of basic types (numeric, string, date, nominal, relational). It is not suitable for storing raw binary media files.
The 'relation' keyword defines the name of the dataset or relation, similar to a table name in a database.
Technical Details
ARFF files are structured into a header and a data section. The header defines the relation name and then lists each attribute with its type (e.g., NUMERIC, STRING, DATE, CLASS). The data section contains comma-separated values representing instances, with missing values often denoted by a question mark. It's a plain text format, meaning it's not compressed by default.