Datasets:
Tasks:
Text Classification
Sub-tasks:
multi-class-classification
Languages:
Spanish
Size:
10K<n<100K
License:
MariaIsabel
commited on
Create README.md
Browse files
README.md
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---
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annotations_creators:
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- other
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language:
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- es
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language_creators:
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- other
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license:
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- cc-by-4.0
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multilinguality:
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- monolingual
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pretty_name: ReSpaN - Spanish requirements labeled in non-functional categories and subcategories (ISO/IEC 25010 quality model).
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size_categories:
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- 10K<n<100K
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source_datasets:
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- original
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task_categories:
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- text-classification
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task_ids:
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- multi-class-classification
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---
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## Dataset Description
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- **Homepage:**
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:**
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### Dataset Summary
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ReSpaN(Spanish Dataset for non-functional requirements classification): Published version of dataset used for paper 'Towards a FAIR Dataset for non-functional requirements'.This dataset was created following the FAIR principles.
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### Languages
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Spanish
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## Dataset Structure
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### Data Fields
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In the dataset_structure file.
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## Dataset Creation
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### Initial Data Collection and Normalization
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This dataset was created from a collection of non-functional requirements extracted from 19 final degree carried out from the University of A Coruna. It consist in 109 non-funtcional requirements. Manual labeling was performed by 7 annotators in such a way that each requirement had at least 3 labels. The labels were the categories and subcategories of the ISO/IEC 25010 quality model. The label ’No agreement’ was used for requirements with no majority in the labeling process. The final classification of each requirement is based on unanimity or majority.
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## Additional Information
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### Citation Information
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https://doi.org/10.1145/3555776.3578611
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