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--- |
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name: Persian Poetry QA Dataset |
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description: | |
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This dataset is structured in a question-answering format derived from a rich collection of Persian poems along with metadata about the poets and the verses. |
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It is designed to be utilized for various Natural Language Processing and analysis tasks related to Persian poetry, such as Question Answering, Text Generation, Language Modeling, and Style Analysis. |
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license: gpl-2.0 |
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url: https://github.com/ganjoor/desktop/releases/tag/v2.81 |
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citation: | |
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Persian Poetry QA Dataset. Collected by Kakooch from the Ganjoor Project. |
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Available at: https://huggingface.co/datasets/persian_poetry |
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size: "Custom" |
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language: |
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- fa |
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splits: |
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train: |
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description: "This split contains Persian poems structured for QA, where each row asks for a sample poem from a specific poet with the poem or verse as the answer." |
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features: |
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context: |
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description: "A static string which is 'Persian Poetry or شعر فارسی'." |
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type: "string" |
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question: |
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description: "A string that asks for a sample poem from a specific poet in the format 'یک نمونه از شعر [POET_NAME]'." |
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type: "string" |
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answer: |
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description: "Text of a hemistich or verse." |
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type: "string" |
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answer_start: |
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description: "The starting character index of `answer` within `context` (Note: this is always -1 in the current dataset as `answer` is not a substring of `context`)." |
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type: "int32" |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: poems-qa.csv |
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--- |
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# Persian Poetry Dataset |
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## Dataset Description |
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### Overview |
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This dataset contains a collection of Persian poems structured in a question-answering format. The dataset is derived from various Persian poets and their poems, providing a rich source for exploring Persian poetry in a structured manner suitable for machine learning applications, especially in natural language processing tasks like question answering. |
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### Data Collection |
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- **Data Collection Source:** The data is sourced from the [Ganjoor project](https://github.com/ganjoor/). The specific database file can be found in the [releases section](https://github.com/ganjoor/desktop/releases/tag/v2.81) of their GitHub repository. |
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- **Time Period:** Oct-12-2023 |
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- **Collection Methods:** The data was collected by downloading the raw database file from the Ganjoor project's GitHub repository. |
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### Data Structure |
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The dataset is structured into a CSV file with the following columns: |
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- `context`: A static string which is "Persian Poetry or شعر فارسی". |
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- `question`: A string that asks for a sample poem from a specific poet in the format "یک نمونه از شعر [POET_NAME]". |
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- `answer`: Text of a hemistich or verse. |
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- `answer_start`: The starting character index of `answer` within `context` (Note: this is always -1 in the current dataset as `answer` is not a substring of `context`). |
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### Data Example |
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```plaintext |
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context,question,answer,answer_start |
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Persian Poetry,یک نمونه از شعر صائب تبریزی,خار نتواند گرفتن دامن ریگ روان رهنورد شوق، افسردن نمی داند که چیست,-1 |
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``` |
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## Dataset Usage |
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### Use Cases |
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This dataset can be utilized for various Natural Language Processing and analysis tasks related to Persian poetry, such as: |
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- Question Answering |
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- Text Generation |
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- Language Modeling |
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- Style Analysis |
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### Challenges & Limitations |
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- The `answer_start` field is always -1 as the `answer` is not a substring of `context`. Depending on your use-case, you might need to adjust how `context` and `answer_start` are determined. |
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- The dataset does not contain long verses that are over 100 characters. |
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### License |
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GPL-2 (GNU General Public License) ingerited from original ganjoor project |
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## Additional Information |
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### Citation |
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``` |
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Persian Poetry Dataset. Collected by Kakooch from the Ganjoor Project. Available at: https://huggingface.co/datasets/persian_poetry |
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``` |
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### Dataset Link |
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[Download the dataset from Hugging Face](https://huggingface.co/datasets/persian_poetry) |
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### Contact |
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Email: [[email protected]](mailto:[email protected]) | GitHub: [kakooch](https://github.com/kakooch) |
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--- |
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*This README was generated by Kakooch.* |
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