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README.md
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pretty_name: Ganjoor - Persian Poem Corpus
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pretty_name: Ganjoor - Persian Poem Corpus
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size_categories:
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- 100K<n<1M
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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 is the csv format of the Ganjoor Database that is published in their [github](https://github.com/ganjoor/desktop/releases/tag/v2.96)
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## Dataset Details
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- **Curated by:** Navid Abbaspoor
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- **Language(s) (NLP):** Persian (Farsi)
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- **License:** Creative Commons Attribution 4.0 International (cc-by-4.0)
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### Dataset Description
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<!-- Provide a longer summary of what this dataset is. -->
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This dataset contains almost all of poems by Iran's great poets through many many past years till now. The original database was tabular, that I convert it to a csv format that contains these columns:
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- id: id of the poem in the original database
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- poem: name of the poem
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- poet: name of the poet
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- cat: category of the poem
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- text: text and verses of the poem
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### Dataset Sources [optional]
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<!-- Provide the basic links for the dataset. -->
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- **Repository:** [More Information Needed]
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## Usage
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<!-- Address questions around how the dataset is intended to be used. -->
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```python
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from datasets import load_dataset
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dataset = load_dataset("mabidan/ganjoor")
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```
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## Dataset Creation
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Persian language is one of the low-resource languages in NLP tasks.
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I'm trying to collect persian datasets to help the community to build helpful tools for this language.
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So I'm usually collect persian data from web and transform it to a structure that is convinient for my tasks in NLP.
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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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I didnt do any edit or modification in text and verses. So all the data is comming from the original Ganjoor database.
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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I double checked the data and found that some of poems have no text, I guess there might be a problem in the preprocessing steps or in the actual database. You might want to drop that rows from data if you want to use the dataset.
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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## Dataset Card Contact
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For any question or colaboration you can contact me: [email protected]
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