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--- |
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license: apache-2.0 |
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language: fa |
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multilinguality: monolingual |
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task_categories: |
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- fill-mask |
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- text-generation |
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- text-classification |
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--- |
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<!-- # Dataset Card for Dataset Name --> |
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<!-- Provide a quick summary of the dataset. --> |
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This dataset represents the publicly available collection of data scraped from the virgool.io website. The data extraction was strategically performed based on specific tags and user. The dataset comprises approximately 62,000 entries across several key attributes: title, text, tags, likes, replies, reading_time, user_id, and URL. |
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This resource is particularly beneficial for researchers and developers aiming to pre-train large language models (LLMs), as the 'text' column provides a rich corpus of language use. Additionally, the 'tags' column is ideal for topic modeling applications. The 'likes' and 'replies' columns offer quantitative insights, which can be utilized to gauge content engagement and are useful in developing classifiers to identify high-quality or informative content.## Dataset Details |
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### Dataset Description |
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<!-- Provide a longer summary of what this dataset is. --> |
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- **Curated by:** Mohamad Sobhi |
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- **Language(s) (NLP):** persian |
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- **License:** apache-2.0 |
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## Dataset Structure |
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> |
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the datset is in 8 following columns: |
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title, text, tags, likes, replies, reading_time, user_id, and URL. |
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## Bias, Risks, and Limitations |
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<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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Please note that this dataset consists of personal opinions from various bloggers on virgool.io. As such, the information may not always be factual and could reflect the individual biases of the authors. |
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