datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
EduQS
EduQS Dataset
EduQS is a multi-subject, multi-grade-level dataset for Chinese visual question answering in the K12 education domain. It contains high-quality structured question data with accompanying illustrative images and answer keys.
💡 Highlights
Covers subjects: Biology, Chemistry, Physics, History, Geography, Math
Grade levels: Middle School and High School
Question types: fill-in-the-blank, multiple-choice, open-ended
Includes annotated solutions, side… See the full description on the dataset page: https://huggingface.co/datasets/chaosY/EduQS.chaos-mnli-ambiguityChaos NLI MNLI portion with gini coefficient pre-computed (from 0 to 1)
High gini means unambiguous inference.
@inproceedings{xzhou2022distnli,
Author = {Xiang Zhou and Yixin Nie and Mohit Bansal},
Booktitle = {Findings of the Association for Computational Linguistics: ACL 2022},
Publisher = {Association for Computational Linguistics},
Title = {Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning},
Year = {2022}
}
chaos-mri
CHAOS MRI Dataset
Dataset Description
The CHAOS MRI dataset from the CHAOS (Combined Healthy Abdominal Organ Segmentation) challenge. This dataset contains MRI (T1, T2) scans for multi-organ segmentation from MRI scans.
Dataset Details
Modality: MRI (T1, T2)
Target: liver, kidneys, spleen
Format: NIfTI (.nii.gz)
Challenge: CHAOS 2019
Dataset Structure
Each sample in the JSONL file contains:
{
"image": "path/to/image.nii.gz"… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/chaos-mri.pit-wall-chaos-tracesCodex agent traces for Pit Wall Chaos, a Build Small Hackathon project.
Space link: https://huggingface.co/spaces/build-small-hackathon/pit-wall-chaos
Vietnamese-Salesforce-xlam-function-calling-60k-gg-translatedsatd_augIf you find this dataset is useful in your work, please cite our paper:
@article{li2025impact,
title={IMPACT: Identifying and Classifying Multiple Sourced and Categorized Self-Admitted Technical Debts},
author={Li, Qingyuan and Yin, Zhixin and Yang, Yaopeng and Li, Chuanyi and Shen, Zongwen and Ge, Jidong and Zhong, Wenkang and Luo, Bin and Ng, Vincent},
journal={ACM Transactions on Software Engineering and Methodology},
year={2025},
publisher={ACM New York, NY}
}
Vietnamese-395k-meta-math-MetaMathQA-gg-translatedVietnamese-Intel-orca_dpo_pairs-gg-translatedfamilyhistoryronniekingsOpenThoughts3-1.2M-math-with-planBengaliFigEnsure-Thamdo-1000
Ensure-Thamdo-1000
Pushed via HuggingChaos. Rows: 697.
Vietnamese-Ecommerce-AlpacaEnsure-Thamdo-1000-training
Ensure-Thamdo-1000-training
Pushed via HuggingChaos. Rows: 697.
testcoincheck-inschaosgym-sft-datachaosgym-new-dsEnsure-KetThuc-training