---
license: cc-by-4.0
language:
  - en
task_categories:
  - text-generation
  - text-classification
  - question-answering
tags:
  - birthday
  - greetings
  - celebration
  - structured-data
  - synthetic
  - kid-friendly
  - lightweight
  - personalization
  - open-domain
  - huggingface-datasets
  - LLM-pretraining
size_categories:
  - 1K<n<10K
---

# Birthday Quote 1 to 100 — Full Combination Dataset

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.  
This dataset spans ages from **1 to 100 years**, providing a highly diverse and customizable resource for generating personalized birthday wishes for any recipient.

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.

---

## Dataset Structure

Each birthday message includes the following fields:

- **id**: A unique sequential identifier
- **wish_text**: The generated birthday message text (without any emojis)
- **age**: The recipient's age (from 1 to 100)
- **age_group**: The age group classification (e.g., Toddler, Young Adult, Senior)
- **tone**: The emotional tone (e.g., Heartfelt, Cheerful, Funny)
- **theme**: The thematic category (e.g., Playtime, Stardom, Nostalgia)
- **recipient_type**: The intended recipient (e.g., Parent, Friend, Spouse)
- **pop_culture_reference**: Optional pop culture reference (empty if none)
- **language_level**: Language complexity (Basic, Intermediate, Advanced)
- **message_type**: The type of message (Short wish, Long wish, Poem, Quote)

---

## Dataset Features

- **Total Entries**: 3,807  
- **Age Range**: 1 to 100 years

### Age Groups (Realistic Mapping)
- Toddler (1–3)  
- Child (4–8)  
- Tween (9–12)  
- Teen (13–17)  
- Young Adult (18–25)  
- Adult (26–40)  
- Mature Adult (41–60)  
- Senior (61–80)  
- Golden Years (81–100)

### Tone Variations
- Heartfelt  
- Cheerful  
- Funny  
- Inspirational  
- Magical  
- Trendy  
- Poetic  
- Witty  
- Classy  

### Themes
- Playtime  
- Stardom  
- Anime  
- Nature  
- Art  
- Humor  
- Celebration  
- Treasure  
- Nostalgia  

### Recipient Types
- Parent  
- Grandparent  
- Friend  
- Child  
- Sibling  
- Classmate  
- Mentor  
- Spouse  
- Colleague  

### Message Types
- Short wish  
- Long wish  
- Poem  
- Quote  


## Intended Use

This dataset is designed for use in applications such as:

- **Birthday Message Generators**: Automatically generate custom birthday messages based on user preferences (e.g., age, tone, recipient type).
- **Chatbots & Virtual Assistants**: Personalized birthday greetings for virtual assistants or customer service bots.
- **Greeting Card Creation**: Automatically generate printable or shareable birthday greetings.
- **NLP-based Applications**: Use in Natural Language Processing models for birthday message generation or sentiment analysis.

## Example Code

Here’s an example of how to use the updated dataset in Python:

```python
from datasets import load_dataset

# Load the full Birthday Quote dataset
dataset = load_dataset("tejasashinde/birthday_quotes_1_to_100")

# Example: Get a random birthday wish for a 5-year-old
subset = dataset["train"].filter(lambda x: x["age"] == 5).shuffle().select([0])

print("Wish ID:", subset["id"])
print("Age:", subset["age"])
print("Age Group:", subset["age_group"])
print("Tone:", subset["tone"])
print("Theme:", subset["theme"])
print("Recipient Type:", subset["recipient_type"])
print("Message Type:", subset["message_type"])
print("Wish Text:", subset["wish_text"])
```

## 📜 Licensing

This dataset is licensed under **[Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/)**.

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## 🤝 Contribution

Contributions are welcome!  
You can:

- Open a pull request  
- Suggest improvements  
- Report issues  
- Add new birthday messages following dataset guidelines  

Please ensure that any additions maintain the dataset’s quality, clarity, and diversity.

---