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README.md
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language:
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tags:
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- keywords
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- news articles
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- extraction
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pretty_name:
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size_categories:
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- 1K<n<10K
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<p align="center"><h1>๐ง
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# Dataset Card for
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Introducing a groundbreaking dataset, meticulously curated to revolutionize keyword extraction. Leveraging advanced AI techniques, this resource is designed to elevate text analysis across diverse domains.
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- **Curated by:** Zineb MEFTAH
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- **Language(s) (NLP):** English
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The Keyword Extraction Dataset includes 2,000 samples pairing extracted keywords with their corresponding full-text news articles. It is optimized for tasks such as keyword extraction, text analysis, and model fine-tuning.
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For more details on the dataset's creation and methodology, refer to the accompanying scientific [article]().
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---
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## ๐ Key Features
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- **Comprehensive Coverage:** Multi-domain support for
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- **Optimized for AI Models:** Preprocessed and ready for fine-tuning.
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- **Scalable:** Adapts to various NLP workflows and applications.
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- License = CC BY 4.0
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## ๐ Acknowledgments
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Inspired by the BBC News dataset and supported by advanced AI methodologies.
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For detailed insights, visit the [accompanying scientific article]().
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language:
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- en
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tags:
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- Tags
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- keywords
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- generation
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- news articles
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- extraction
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pretty_name: Tags Generated Dataset
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size_categories:
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<p align="center"><h1>๐ง Tags Generated Dataset</h1></p>
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# Dataset Card for Tags Generated Dataset
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- **Curated by:** Zineb MEFTAH
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- **Language(s) (NLP):** English
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The Keyword Extraction Dataset includes 2,000 samples pairing extracted keywords with their corresponding full-text news articles. It is optimized for tasks such as keyword extraction, text analysis, and model fine-tuning.
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- **Structure:**
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- 2,000 samples of keywords paired with full diversed themes news articles.
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- Column 1: Extracted keywords.
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- Column 2: Full text of the associated news article
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- **Source:** Derived from the [BBC News dataset](https://www.kaggle.com/datasets/gpreda/bbc-news) available on Kaggle. The Kaggle dataset served as a foundational seed for iterative refinement.
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For more details on the dataset's creation and methodology, refer to the accompanying scientific [article](https://huggingface.co/blog/zino36/tags-generation-dataset-article).
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---
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## ๐ Key Features
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- **Comprehensive Coverage:** Multi-domain support for various themes tags generation.
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- **Optimized for AI Models:** Preprocessed and ready for fine-tuning.
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---
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- License = CC BY 4.0
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