Datasets:

Aipresso
/

prompts_under_512_tokens

Prompt stringlengths 1 6.19k ⌀	Token_count int64 1 511
What’s an underrated trick that makes working with SQL easier?	10
What’s an underrated trick that makes working with Python easier?	10
What’s the best way to start learning Java in your opinion?	11
What’s the best way to start learning AWS in your opinion?	11
What's been the hardest thing about using GraphQL?	8
What’s an underrated trick that makes working with CI/CD easier?	10
What's been the hardest thing about using Java?	8
What do you wish you knew about Kubernetes when you first started?	12
Ever hit a roadblock using GraphQL? How’d you fix it?	10
What’s one mistake you made with AWS that taught you a lot?	12
If someone asked for tips on using NoSQL in cloud infrastructure, what would you tell them?	16
What’s the coolest project you've built with Java?	8
What’s the coolest project you've built with Machine Learning?	9
If someone asked for tips on using CI/CD in system design, what would you tell them?	16
Ever hit a roadblock using SQL? How’d you fix it?	10
Ever hit a roadblock using AWS? How’d you fix it?	10
What's been the hardest thing about using NoSQL?	8
How do you make sure you're always improving at SQL?	10
What’s the best way to start learning CI/CD in your opinion?	11
What do you wish you knew about Docker when you first started?	12
What do you wish you knew about Python when you first started?	12
What’s the best way to start learning Docker in your opinion?	11
What’s an underrated trick that makes working with NoSQL easier?	10
What’s the best way to start learning Machine Learning in your opinion?	12
What do you wish you knew about CI/CD when you first started?	12
What’s an underrated trick that makes working with Java easier?	10
What’s one mistake you made with CI/CD that taught you a lot?	12
What do you wish you knew about NoSQL when you first started?	12
If someone asked for tips on using Machine Learning in API development, what would you tell them?	17
If you could improve Machine Learning, what’s the first thing you'd change?	12
If you could improve Java, what’s the first thing you'd change?	11
What’s an underrated trick that makes working with Machine Learning easier?	11
Ever hit a roadblock using Kubernetes? How’d you fix it?	10
What’s the coolest project you've built with Python?	8
What's been the hardest thing about using AWS?	8
How do you make sure you're always improving at Docker?	10
What’s the best way to start learning GraphQL in your opinion?	11
If someone asked for tips on using Docker in security, what would you tell them?	15
If you could improve GraphQL, what’s the first thing you'd change?	11
How do you make sure you're always improving at Java?	10
If someone asked for tips on using Docker in cloud infrastructure, what would you tell them?	16
What’s the coolest project you've built with Docker?	8
If you could improve CI/CD, what’s the first thing you'd change?	11
What's been the hardest thing about using CI/CD?	8
How do you make sure you're always improving at Kubernetes?	10
If someone asked for tips on using GraphQL in API development, what would you tell them?	16
What’s the best way to start learning Kubernetes in your opinion?	11
What’s an underrated trick that makes working with GraphQL easier?	10
If someone asked for tips on using GraphQL in performance optimization, what would you tell them?	16
If someone asked for tips on using Machine Learning in security, what would you tell them?	16
What's been the hardest thing about using Machine Learning?	9
What's been the hardest thing about using Kubernetes?	8
What’s the best way to start learning Python in your opinion?	11
If someone asked for tips on using Java in security, what would you tell them?	15
What’s one mistake you made with Docker that taught you a lot?	12
How do you make sure you're always improving at GraphQL?	10
What’s one mistake you made with Python that taught you a lot?	12
Ever hit a roadblock using Machine Learning? How’d you fix it?	11
What’s the coolest project you've built with CI/CD?	8
What do you wish you knew about AWS when you first started?	12
What’s the best way to start learning SQL in your opinion?	11
If you could improve SQL, what’s the first thing you'd change?	11
What’s the coolest project you've built with AWS?	8
What's been the hardest thing about using Docker?	8
What’s one mistake you made with NoSQL that taught you a lot?	12
What’s the coolest project you've built with NoSQL?	8
How do you make sure you're always improving at CI/CD?	10
If someone asked for tips on using SQL in security, what would you tell them?	15
What do you wish you knew about Java when you first started?	12
If someone asked for tips on using Kubernetes in security, what would you tell them?	15
How do you make sure you're always improving at NoSQL?	10
What's been the hardest thing about using Python?	8
If you could improve NoSQL, what’s the first thing you'd change?	11
What’s an underrated trick that makes working with AWS easier?	10
Ever hit a roadblock using NoSQL? How’d you fix it?	10
What’s one mistake you made with Machine Learning that taught you a lot?	13
If someone asked for tips on using NoSQL in team collaboration, what would you tell them?	16
If someone asked for tips on using Python in API development, what would you tell them?	16
What do you wish you knew about SQL when you first started?	12
What's been the hardest thing about using SQL?	8
What’s one mistake you made with Kubernetes that taught you a lot?	12
How do you make sure you're always improving at Machine Learning?	11
How do you make sure you're always improving at Python?	10
What’s the coolest project you've built with GraphQL?	8
What do you wish you knew about GraphQL when you first started?	12
If someone asked for tips on using NoSQL in security, what would you tell them?	15
If you could improve Kubernetes, what’s the first thing you'd change?	11
What do you wish you knew about Machine Learning when you first started?	13
If someone asked for tips on using Kubernetes in API development, what would you tell them?	16
What’s one mistake you made with GraphQL that taught you a lot?	12
Ever hit a roadblock using Java? How’d you fix it?	10
If someone asked for tips on using Java in performance optimization, what would you tell them?	16
If you could improve Python, what’s the first thing you'd change?	11
If someone asked for tips on using NoSQL in API development, what would you tell them?	16
If someone asked for tips on using Kubernetes in team collaboration, what would you tell them?	16
How do you make sure you're always improving at AWS?	10
What’s one mistake you made with Java that taught you a lot?	12
If you could improve AWS, what’s the first thing you'd change?	11
If someone asked for tips on using SQL in system design, what would you tell them?	16
What’s the coolest project you've built with SQL?	8

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Under 512 Tokens Prompts Dataset

Created by Aipresso LIMITED, London, UK

⚠️ IMPORTANT: By using this dataset, you agree to our Terms of Use

Dataset Overview

Specialized collection of short-form English prompts (under 512 tokens), perfect for training models with context length constraints or faster iteration cycles.

📊 Dataset Statistics

Metric	Value
Total Files	200
Rows Per File	10,000
Total Rows	2,000,000
Token Range	1 to 511 tokens
Target Use	Short-context models

🎯 Specialized Use Cases

Training models with limited context windows
Faster iteration and experimentation
Memory-constrained environments
Real-time inference applications
Mobile and edge AI deployments

📁 File Structure

data/ ├── under_512_tokens_prompts_001.csv ├── under_512_tokens_prompts_002.csv ├── ... └── under_512_tokens_prompts_200.csv

🔧 Technical Details

Columns:

prompt (string): Short-form cleaned English text
token_count (integer): Token count (1-511)

Format: CSV

🚀 Quick Start

from datasets import load_dataset

dataset = load_dataset("Aipresso/under_512_tokens_prompts")

📜 License and Attribution This dataset is provided under custom terms. Attribution is required for all use cases. Required Citation:

@dataset{aipresso_under_512_prompts_2024,
  title = {Under 512 Tokens Prompts Dataset},
  author = {Aipresso LIMITED},
  year = {2024},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/Aipresso/under_512_tokens_prompts}
}

📈 Quality Metrics Cleaning Rigor: 3+ million rows filtered for quality

Content Diversity: Wide range of topics and styles

Ready-to-Use: Pre-processed and validated

Enterprise Grade: Suitable for commercial applications

🔗 Related Datasets Check our profile for additional categorized datasets:

MEGA Cleaned Prompts: Complete 2.7M row collection

10K Rows Cleaned Prompts: Mixed token lengths

Medium-length prompts (512-1K tokens)

Long-form prompts (>1K tokens)

Maintained by Aipresso LIMITED, London, UK | View Terms of Use

Downloads last month: 24

Size of downloaded dataset files:

320 MB

Size of the auto-converted Parquet files:

196 MB

Number of rows:

2,000,000