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README.md
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# Birthday Quote 1 to 100
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The **Birthday Quote 1 to 100** dataset is
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Each entry contains a birthday message with metadata
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## Dataset Structure
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- **wish_text**: The birthday message text.
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- **age**: The recipient's age (1 to 100).
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- **age_group**: The age group classification (e.g., Toddler, Teenager, Adult, Senior).
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- **tone**: The emotional tone of the message (e.g., Cheerful, Heartfelt, Humorous).
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- **theme**: The thematic focus of the message (e.g., Playtime, Stardom, Nature).
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- **recipient_type**: The intended recipient of the message (e.g., Parent, Grandparent, Friend).
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- **pop_culture_reference**: Any pop culture references included (empty if none).
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- **language_level**: The complexity of the language (e.g., Basic, Intermediate, Advanced).
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- **emoji_style**: Whether the message contains emojis (Yes/No).
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- **message_type**: The type of message (e.g., Short wish, Rhyme, Joke).
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## Dataset Features
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- **Total Entries**:
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- **Age Range**: 1 to 100 years
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## Intended Use
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## Example Code
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Here’s an example of how to use the dataset in Python:
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```python
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from datasets import load_dataset
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# Load the Birthday Quote
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dataset = load_dataset("
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# Example: Get a random birthday wish for a 5-year-old
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```
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## 📜 Licensing
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- 1K<n<10K
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# Birthday Quote 1 to 100 — Full Combination Dataset
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The **Birthday Quote 1 to 100** dataset is an extensive collection of **3,807 birthday messages** generated through complete combinations of tone, theme, and valid recipient types across realistic age groups.
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This dataset spans ages from **1 to 100 years**, providing a highly diverse and customizable resource for generating personalized birthday wishes for any recipient.
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Each entry contains a birthday message along with structured metadata — age group, tone, theme, recipient type, language level, and more — making it suitable for LLM fine-tuning, content generation tasks, and NLP classification research.
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---
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## Dataset Structure
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Each birthday message includes the following fields:
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- **id**: A unique sequential identifier
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- **wish_text**: The generated birthday message text (without any emojis)
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- **age**: The recipient's age (from 1 to 100)
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- **age_group**: The age group classification (e.g., Toddler, Young Adult, Senior)
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- **tone**: The emotional tone (e.g., Heartfelt, Cheerful, Funny)
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- **theme**: The thematic category (e.g., Playtime, Stardom, Nostalgia)
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- **recipient_type**: The intended recipient (e.g., Parent, Friend, Spouse)
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- **pop_culture_reference**: Optional pop culture reference (empty if none)
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- **language_level**: Language complexity (Basic, Intermediate, Advanced)
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- **message_type**: The type of message (Short wish, Long wish, Poem, Quote)
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## Dataset Features
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- **Total Entries**: 3,807
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- **Age Range**: 1 to 100 years
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### Age Groups (Realistic Mapping)
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- Toddler (1–3)
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- Child (4–8)
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- Tween (9–12)
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- Teen (13–17)
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- Young Adult (18–25)
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- Adult (26–40)
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- Mature Adult (41–60)
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- Senior (61–80)
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- Golden Years (81–100)
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### Tone Variations
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- Heartfelt
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- Cheerful
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- Funny
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- Inspirational
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- Magical
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- Trendy
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- Poetic
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- Witty
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- Classy
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### Themes
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- Playtime
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- Stardom
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- Anime
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- Nature
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- Art
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- Humor
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- Celebration
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- Treasure
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- Nostalgia
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### Recipient Types
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- Parent
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- Grandparent
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- Friend
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- Child
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- Sibling
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- Classmate
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- Mentor
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- Spouse
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- Colleague
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### Message Types
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- Short wish
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- Long wish
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- Poem
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- Quote
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## Intended Use
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## Example Code
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Here’s an example of how to use the updated dataset in Python:
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```python
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from datasets import load_dataset
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# Load the full Birthday Quote dataset
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dataset = load_dataset("tejasashinde/birthday_quotes_1_to_100")
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# Example: Get a random birthday wish for a 5-year-old
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subset = dataset["train"].filter(lambda x: x["age"] == 5).shuffle().select([0])
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print("Wish ID:", subset["id"])
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print("Age:", subset["age"])
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print("Age Group:", subset["age_group"])
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print("Tone:", subset["tone"])
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print("Theme:", subset["theme"])
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print("Recipient Type:", subset["recipient_type"])
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print("Message Type:", subset["message_type"])
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print("Wish Text:", subset["wish_text"])
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```
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## 📜 Licensing
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