datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
BLEnD
BLEnD
This is the official repository of BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages (Submitted to NeurIPS 2024 Datasets and Benchmarks Track).
24/12/05: Updated translation errors25/05/02: Updated multiple choice questions file (v1.1)26/09/15: Added new data collected for SemEval-2026 Task 7, covering 17 additional language-culture pairs (semeval-annotations, semeval-questions, and semeval split of multiple-choice-questions)… See the full description on the dataset page: https://huggingface.co/datasets/uilab/BLEnD.UIT-ViQuAD2.0
Vietnamese Question Answering Dataset
Dataset Card for UIT-ViQuAD2.0
Dataset Summary
The HF version for Vietnamese QA dataset created by Nguyen et al. (2020) and released in the shared task.
The original UIT-ViQuAD contains over 23,000 QA pairs based on 174 Vietnamese Wikipedia articles. UIT-ViQuAD2.0 adds over 12K unanswerable questions for the same passage.
The dataset has been processed to remove a few duplicated questions and answers.
Version 2.0 contains… See the full description on the dataset page: https://huggingface.co/datasets/taidng/UIT-ViQuAD2.0.UiPad
UiPad - UI Parsing and Accessibility Dataset
📌 Dataset status: stable release. UiPad was built for the IASA Champ 2024 Challenge and is a complete, fixed research artifact. No further updates are planned.
Curated by: MacPaw Way Ltd.
Language(s): Mostly EN, UA
License: MIT
Overview
UiPad is a dataset created for the IASA Champ 2024 Challenge, focusing on the accessibility and interface understanding of MacOS applications. With growing interest in AI-driven user interface… See the full description on the dataset page: https://huggingface.co/datasets/macpaw-research/UiPad.PopMCQ
🎯 PopMCQ
Does your model pick the famous answer or the correct one?
📌 Overview
PopMCQ renders the same question six ways. The question and the correct answer never change — only how popular the three distractors are. That makes option popularity an independent variable, so an accuracy swing across S1–S6 is attributable to popularity rather than to question difficulty.
The swings are large. Under the hardest setting (S2), models pick a popular-but-wrong… See the full description on the dataset page: https://huggingface.co/datasets/DataScience-UIBK/PopMCQ.UIS-QA
UIS-QA: A Benchmark for Unindexed Information Seeking
Figure 1. UIS problem. Standard agents (bottom) rely on indexed information and often fail or hallucinate; UIS-capable agents (top) use additional tools to excavate unindexed information and solve UIS tasks.
If .figs do not load, see the paper.
🔔 News
[2026.03.10] 🎉 We release the UIS-QA dataset and the paper (ICLR 2026, arXiv) today!
📋 Dataset Description
Homepage
Paper… See the full description on the dataset page: https://huggingface.co/datasets/UIS-Digger/UIS-QA.SOAR
SOAR: System Operations and Reasoning Benchmark
System Operations and Reasoning (SOAR) is a human-curated benchmark designed to evaluate the ability of large language models (LLMs) to interpret and answer questions over IT operational data, with a primary focus on Unix/Linux-style system administration contexts.It focuses on how well models can interpret, extract, and reason over operational data — including logs, configurations, and system outputs — and on how question… See the full description on the dataset page: https://huggingface.co/datasets/LAIA-UIB/SOAR.vicoqa
Vietnamese Conversational Machine Comprehension dataset (UIT-ViCoQA).
This datset is used for Conversational Machine Comprehension task in Vietnamese.
The UIT-ViCoQA dataset consists of 10,000 questions with answers over 2,000 conversations about health news articles.
Source code
The source code available at: https://github.com/sonlam1102/vicoqa-cmc.
Publication
Please cite this paper if you use our dataset
@inproceedings{luu2021conversational… See the full description on the dataset page: https://huggingface.co/datasets/uitnlp/vicoqa.UIT-ViQuAD2.0
Vietnamese Question Answering Dataset
Dataset Card for UIT-ViQuAD2.0
Dataset Summary
The HF version for Vietnamese QA dataset created by Nguyen et al. (2020) and released in the shared task.
The original UIT-ViQuAD contains over 23,000 QA pairs based on 174 Vietnamese Wikipedia articles. UIT-ViQuAD2.0 adds over 12K unanswerable questions for the same passage.
The dataset has been processed to remove a few duplicated questions and answers.
Version… See the full description on the dataset page: https://huggingface.co/datasets/tuanquocbd/UIT-ViQuAD2.0.vimmrc2.0
ViMMRC 2.0
The Vietnamese Multiple-choice reading comprehension dataset version 2 (ViMMRC 2.0)
The dataset is freely available for research purposes only. Users need to sign the data agreement before receiving the dataset.
More information, please visit the NLP@UIT research group: https://nlp.uit.edu.vn/
The original Github for the dataset (including source code): https://github.com/sonlam1102/vimmrc2
Usage
from datasets import load_dataset
train =… See the full description on the dataset page: https://huggingface.co/datasets/uitnlp/vimmrc2.0.UIT-ViQuAD2.0
Vietnamese Question Answering Dataset
Dataset Card for UIT-ViQuAD2.0
Dataset Summary
The HF version for Vietnamese QA dataset created by Nguyen et al. (2020) and released in the shared task.
The original UIT-ViQuAD contains over 23,000 QA pairs based on 174 Vietnamese Wikipedia articles. UIT-ViQuAD2.0 adds over 12K unanswerable questions for the same passage.
The dataset has been processed to remove a few duplicated questions and answers.
Version… See the full description on the dataset page: https://huggingface.co/datasets/nhphuc210/UIT-ViQuAD2.0.ui-form-user-manual-generation-dataset-rus
UI Form User Manual Generation Dataset (Russian)
Dataset Description
This dataset was developed on the basis of 'yahma/alpaca-cleaned' dataset.
It contains examples of generating user guides for interface forms in Russian. Each example includes a description of the UI form elements and corresponding step-by-step instructions for completing it.
Data Structure
The dataset is in JSON format, and contains three fields:
instruction — system instruction
input —… See the full description on the dataset page: https://huggingface.co/datasets/dim014/ui-form-user-manual-generation-dataset-rus.vlogqa
Dataset Card for Dataset Name
VlogQA: Question-answering based on the transcript from VLOG Videos in Vietnamese Language about travel and food.
Dataset Details
VlogQA consists of 10,076 question-answer pairs based on 1,230 transcript documents sourced from YouTube
You need to sign the agreement and send to the author via the email in "Dataset Contact" to access to the dataset.
The agreement from can be found at:… See the full description on the dataset page: https://huggingface.co/datasets/uitnlp/vlogqa.