datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
vlmsareblindArXiv - Website
xai-questions-datasetExplore the questions users have for robots across a diverse set of situations!
You can read the paper here: What Questions Should Robots Be Able to Answer? A Dataset of User Questions for Explainable Robotics!
from datasets import load_dataset
dataset = load_dataset("lwachowiak/xai-questions-dataset")
dataset['train'][0]
The analysis code can be found on GitHub
Paper Abstract
With the increased use of large language models and conversational interfaces in human–robot… See the full description on the dataset page: https://huggingface.co/datasets/lwachowiak/xai-questions-dataset.care-xai
CARE-XAI: Culturally-Aware, Evidence-Grounded Explainable AI for Health
17,803 total rows · 14,254 train / 1,797 validation / 1,752 test · 5 sources · 3 labels
CARE-XAI is a unified health-claim verification dataset consolidating five public health NLP benchmarks into a single schema, augmented with GRADE evidence quality labels, cultural relevance flags, and Gold/Silver explanation annotations.
Sources
Dataset
Rows
%
Explanation
License
PUBHEALTH
9,804
55.1%… See the full description on the dataset page: https://huggingface.co/datasets/Prabhjotschugh/care-xai.my-distiset-feeba055
Dataset Card for my-distiset-feeba055
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/xainkhan23/my-distiset-feeba055/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/xainkhan23/my-distiset-feeba055.