datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
xai-studies
xai-studies
xai = explainable AI. Offline mirror of lyffseba/xai.
GitHub
lyffseba/xai
portal
spaces/lyffseba/xai
use
python3 studies/run.py test
No pip. No network.
catalog
catalog/models.csv
id
name
status
total
active
ctx
experts
inkling
Inkling
weights_public
975B
41B
1048576
6/256+2 shared
kimi-k3
Kimi K3
api_live_weights_pending
2.8T
1048576
16/896
laguna-s-2.1
Laguna S 2.1
weights_public
118B
8B
1048576… See the full description on the dataset page: https://huggingface.co/datasets/lyffseba/xai-studies.aym-xai-datasetFor citing:
@INPROCEEDINGS{11206864,
author={Erdoğanyılmaz, Cihan and Naç, Ali Yasir},
booktitle={2025 10th International Conference on Computer Science and Engineering (UBMK)},
title={Predicting Norm Control Decisions of the {Turkish} {Constitutional} {Court} Using {Explainable} {AI} Techniques},
year={2025},
pages={657-662},
abstract={The application of Natural Language Processing (NLP) to Legal Judgment Prediction (LJP) has gained significant momentum, yet most research in the… See the full description on the dataset page: https://huggingface.co/datasets/LawChatAI/aym-xai-dataset.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.credit-default-taiwan
Default of Credit Card Clients (Taiwan) — xaitalk example-data mirror
Mirror of the UCI Default of Credit Card Clients dataset, hosted as a reliable runtime fallback for xaitalk's TreeSHAP example. 30,000 clients x 23 features (credit limit, age, repayment history PAY_*, bill/payment amounts), binary target = default next month.
Source: UCI Machine Learning Repository (https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients). Credit to the original creator… See the full description on the dataset page: https://huggingface.co/datasets/xaitalk/credit-default-taiwan.B-XAICXAI_Malware_Predictionheart-disease-cleveland
Heart Disease (Cleveland) — xaitalk example-data mirror
Mirror of the UCI Heart Disease (Cleveland) dataset, hosted as a reliable runtime fallback for xaitalk's tabular MLP example. 303 patients x 13 features, binary target (disease presence).
Source: UCI Machine Learning Repository (https://archive.ics.uci.edu/dataset/45/heart+disease). All credit to the original creators (Hungarian Inst. of Cardiology / Cleveland Clinic et al.). Redistributed unmodified for example… See the full description on the dataset page: https://huggingface.co/datasets/xaitalk/heart-disease-cleveland.explainDepression-social-media-xaiCleaned, balanced, and clinically annotated social media dataset
for explainable depression detection research.
Combined from real Twitter and Reddit posts, engineered with
DSM-5-aligned clinical lexicon features, and used to train a
DistilBERT model achieving 96.17% accuracy.
━━━━━━━━━━━━━━━━━━━━━━━━━━━
DATASET STATS
Total Rows → 40,770
Class Balance → 50% Depressed / 50% Not Depressed
Feature Columns → 12
Sources → Twitter + Reddit
━━━━━━━━━━━━━━━━━━━━━━━━━━━… See the full description on the dataset page: https://huggingface.co/datasets/mdsajjadullah/explainDepression-social-media-xai.xai_gab_multip_robertaClinicalNotes_labeledRAB-Cred
RAB-Cred
RAB-Cred is a text classification dataset, where the task is to identify the presence and sentiment of credibility assessments in Danish asylum decision texts. The three classes are:
No credibility assessment: ABSENT
Positive credibility assessment: POSITIVE
Negative credibility assessment: NEGATIVE
The RAB-Cred dataset features high-quality, gold-standard expert annotations and valuable metadata such as annotator confidence and asylum case outcome. Decisions texts were… See the full description on the dataset page: https://huggingface.co/datasets/XAI-CRED/RAB-Cred.