Datasets:
language:
- en
- hi
- fr
- de
- es
- it
- ja
- zh
task_categories:
- text-classification
- text-generation
Assistive Prompting Disabilities Dataset
Dataset Description
This dataset contains prompts designed to assist individuals with disabilities in generating helpful text using AI systems. The dataset includes prompts across multiple languages and different levels of textual noise.
Each prompt is provided in a clean form as well as multiple noisy variations.
Dataset Structure
The dataset contains the following columns:
- Clean_text – The original prompt without noise
- Category – Category of the prompt (e.g., communication, task delegation)
- alpha_0.2 – Prompt with low noise
- alpha_0.4 – Prompt with moderate noise
- alpha_0.6 – Prompt with higher noise
- alpha_0.8 – Prompt with heavy noise
- Noise type – Type of noise applied (N1, N2, N3, N4)
Languages
The dataset includes prompts in multiple languages including:
- English
- Hindi
- Chinese
- French
- German
- Spanish
- Italian
- Japanese
Noise types
The dataset includes the following noise variants to evaluate model robustness under different types of input perturbations.
N1 – Typographical Noise: Introduces spelling errors or minor typographical variations in the text.
N2 – Lexical Noise: Replaces words with semantically similar alternatives while preserving the original meaning.
N3 – Structural Noise: Modifies the sentence structure or word order without altering the underlying intent.
N4 – Extraneous Noise: Adds additional irrelevant words or phrases that do not contribute to the core meaning of the prompt.
Dataset Size
- Total samples: 10,232