| | --- |
| | license: mit |
| | task_categories: |
| | - text-classification |
| | - question-answering |
| | language: |
| | - ta |
| | tags: |
| | - art |
| | pretty_name: Pathirruppattu |
| | size_categories: |
| | - n<1K |
| | --- |
| | ### Pathirruppattu (பதிற்றுப்பத்து) Dataset |
| |
|
| | ## 📝 Dataset Description |
| | Pathirruppattu (The Ten Idylls) is one of the classical Sangam anthologies (Ettuthokai) in Tamil literature, consisting of 10 books, each praising heroic kings, valor, wealth, and virtues. Each poem combines vivid imagery, structured meters, and poetic devices. |
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| | This dataset provides a structured digital version of Pathirruppattu, including: |
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| | Poem titles |
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| | Poetic section/category (துறை) |
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| | Poetic style (வண்ணம்) |
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| | Poetic meter (தூக்கு) |
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| | Author names (பெயர்) |
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| | Original Tamil poem texts (divided by sections where applicable) |
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| | This dataset facilitates modern NLP applications, literary analysis, and digital preservation of ancient Tamil literature. |
| |
|
| | ## 📂 Dataset Structure |
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|
| | Fields |
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| | title (string) → Title of the poem (e.g., "பதிற்றுப்பத்து - 11. வெற்றிச் செல்வச் சிறப்பு") |
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| | துறை / section (string) → Category/type of the poem |
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| | வண்ணம் / style (string) → Poetic style or tone |
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| | தூக்கு / meter (string) → Poetic meter |
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| | பெயர் / author (string) → Poet’s name |
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| | poem (string) → Full text of the poem in Tamil |
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| | Example Entry (Book 11) |
| | ``` json |
| | { |
| | "title": "பதிற்றுப்பத்து - 11. வெற்றிச் செல்வச் சிறப்பு", |
| | "துறை": "செந்துறைப் பாடாண் பாட்டு", |
| | "வண்ணம்": "ஒழுகு வண்ணம்", |
| | "தூக்கு": "செந்தூக்கு", |
| | "பெயர்": "புண் உமிழ் குருதி", |
| | "poem": "வரை மருள் புணரி வான் பிசிர் உடைய,\nவளி பாய்ந்து அட்ட துளங்கு இருங் கமஞ் சூல்\nநளி இரும் பரப்பின் மாக் கடல் முன்னி,\n..." |
| | } |
| | |
| | ## 📊 Dataset Statistics |
| | |
| | Total Poems: 100 (Books 1–100 of Pathirruppattu) |
| | |
| | Language: Tamil (ta) |
| | |
| | Format: JSON |
| | |
| | Approx. Size: ~150–200 KB (depending on text inclusion) |
| | |
| | ## 💡 Use Cases |
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| | Tamil NLP research (classification, summarization, translation) |
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| | Poem structure and meter analysis |
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| | Digital Humanities → Preservation of Sangam poetry |
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| | Educational applications → Easy access to Tamil classics for students |
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| | Poetry generation / stylized language models |
| | |
| | ## 🔑 Licensing |
| | |
| | License: Open Data for research and educational purposes |
| | |
| | Attribution required when used in publications or applications |
| | |
| | #பதிற்றுப்பத்து #சங்கஇலக்கியம் #தமிழ் #Tamil #Pathirruppattu #SangamLiterature #TamilPoetry #ClassicalLiterature #AncientTamil #TamilNLP #DigitalHeritage #TamilCulture #TamilClassics #PoetryDataset #TamilAI #OpenSource |