datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SQuADDS_DB
SQuADDS_DB - a Superconducting Qubit And Device Design and Simulation Database
The SQuADDS (Superconducting Qubit And Device Design and Simulation) Database Project is an open-source resource aimed at advancing research in superconducting quantum device designs. It provides a robust workflow for generating and simulating superconducting quantum device designs, facilitating the accurate prediction of Hamiltonian parameters across a wide range of design geometries.… See the full description on the dataset page: https://huggingface.co/datasets/SQuADDS/SQuADDS_DB.squad_mcSQuAD: 100,000+ Questions for Machine Comprehension of Text
NOTE: this is the reformulated multiple choice version of the SQuAD task, with downsampling.
squad-ciindic-squad
IndicSQuAD Dataset
Dataset Description
IndicSQuAD is a comprehensive multilingual extractive Question Answering (QA) dataset covering nine major Indic languages: Hindi, Bengali, Tamil, Telugu, Marathi, Gujarati, Urdu, Kannada, Oriya, and Malayalam. It's systematically derived from the popular English SQuAD (Stanford Question Answering Dataset).
The rapid progress in QA systems has predominantly benefited high-resource languages, leaving Indic languages significantly… See the full description on the dataset page: https://huggingface.co/datasets/l3cube-pune/indic-squad.squad_id_muis_2020
SQuAD ID
Reorganized and corrected SQuAD ID dataset.
Source
Paper Title: Sequence-to-Sequence Learning for Indonesian Automatic Question Generator
Venue: ICAICTA 2020
Data Correction
I found many incorrect answer_start from the original data, where the extracted subtext from context using the position does not match the answer text. To correct this, a script is used to attempt to find answer text in context using Python string find() method. If found, the… See the full description on the dataset page: https://huggingface.co/datasets/sagaekakristi/squad_id_muis_2020.SQuAD-EN-Passage-to-Question
Dataset Card for SQuAD-EN-Passage-to-Question
Dataset Summary
SQuAD-EN-Passage-to-Question is a reformatted and reorganized version of the Stanford Question Answering Dataset (SQuAD). The dataset is designed for text generation and question generation research tasks.
In the original SQuAD dataset, each context passage is associated with multiple question-answer pairs stored as separate entries. In this modified version, all questions associated with the same context… See the full description on the dataset page: https://huggingface.co/datasets/Siam0703/SQuAD-EN-Passage-to-Question.SQUADDS_test_clone
THIS IS A CLONE AND IS NOT THE OFFICIAL SQUADDS DB.
SQuADDS_DB - a Superconducting Qubit And Device Design and Simulation Database
The SQuADDS (Superconducting Qubit And Device Design and Simulation) Database Project is an open-source resource aimed at advancing research in superconducting quantum device designs. It provides a robust workflow for generating and simulating superconducting quantum device designs, facilitating the accurate prediction of Hamiltonian… See the full description on the dataset page: https://huggingface.co/datasets/elizabethkunz/SQUADDS_test_clone.TriviaQA_SQuAD
This is a TriviaQA wikipedia dataset that was reformated and "answer_start" added
This dataset has context max tokens length of 5000.
I used this dataset for my research, you can find code for reformatting TriviaQA here:
https://github.com/Kkordik/NovelQSI
spoken_squad
Dataset Card for Spoken-SQuAD
Citation
@article{lee2018spoken,
title={Spoken SQuAD: A Study of Mitigating the Impact of Speech Recognition Errors on Listening Comprehension},
author={Lee, Chia-Hsuan and Wu, Szu-Lin and Liu, Chi-Liang and Lee, Hung-yi},
journal={Proc. Interspeech 2018},
pages={3459--3463},
year={2018}
}
CIR25-LOKIcs_squad-3.0
Dataset Card for Czech Simple Question Answering Dataset 3.0
This a processed and filtered adaptation of an existing dataset. For raw and larger dataset, see Dataset Source section.
Dataset Description
The data contains questions and answers based on Czech wikipeadia articles.
Each question has an answer (or more) and a selected part of the context as the evidence.
A majority of the answers are extractive - i.e. they are present in the context in the exact form. The… See the full description on the dataset page: https://huggingface.co/datasets/fewshot-goes-multilingual/cs_squad-3.0.squad-it
Squad-it
This dataset is an adapted version of that squad-it to train on HuggingFace models.
It contains:
train samples: 87599
test samples : 10570
This dataset is for question answering and his format is the following:
[
{
"answers": [
{
"answer_start": [1],
"text": ["Questo è un testo"]
},
],
"context": "Questo è un testo relativo al contesto.",
"id": "1",
"question": "Questo è un testo?",
"title": "train test"
}
]
It can… See the full description on the dataset page: https://huggingface.co/datasets/z-uo/squad-it.test_german_squadsquad-augmented-v2qasper-squad
Quasper into squad version
This is a change of format of qasper dataset into squad format.
jay-squad-sec
Jay Squad Sec — Userspace Core + Alert-Only Agent (v0.1)
Rust implementation of the userspace core from the v2.0 architecture, plus a
deployable alert-only agent with real userspace sensors (see DEPLOY.md).
The core engine runs on a simulated millisecond clock, so risk decay and
lease expiry are deterministic and unit-testable.
Run it
cargo run # 60-second simulation: chrome vs escalating updater
cargo test # 24… See the full description on the dataset page: https://huggingface.co/datasets/Sahek/jay-squad-sec.squad_v2_french_translatedUsing Google Translation, we have translated SQuAD 2.0 dataset into multiple languages.
Here is the translated dataset of SQuAD 2.0 in French language.
Shared by Pragnakalp Techlabs
korean-embedding-performance-v1-sionic-squad-train-60k
Korean Embedding — Sionic SQuAD train-family 60K
KorQuAD v1.0의 원본 train split만 질문→정답 문맥 retrieval 형식으로 변환한
60,000-row target-adaptation 데이터다. Sionic retrieval 9종 중
SQuADKorV1의 train-family 신호를 명시적으로 보강한다.
사용 조건과 점수 공개 방식
release_eligible: false인 performance/non-commercial 실험용 composite다. 이
저장소의 통합 라이선스는 other이며 upstream 권리를 재허가하지 않는다. Hub metadata는
KorQuAD source를 CC-BY-ND-4.0으로 표시하고, upstream dataset card 본문은
CC BY-ND 2.0 KR도 명시한다. 사용자는 원 source 조건을 직접 확인해야 한다.
이… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/korean-embedding-performance-v1-sionic-squad-train-60k.biomed_squad_es_v2
Dataset Card for biomed_squad_es_v2
This Dataset was created as part of the "Extractive QA Biomedicine" project developed during the 2022 Hackathon organized by SOMOS NLP.
Dataset Summary
This is a subset of the dev squad_es (v2) dataset (automatic translation of the Stanford Question Answering Dataset v2 into Spanish) containing questions related to the biomedical domain.
License, distribution and usage conditions of the original Squad_es Dataset apply.
Languages… See the full description on the dataset page: https://huggingface.co/datasets/somosnlp-hackathon-2022/biomed_squad_es_v2.squad_chat
Dataset Card for Squad_Chat
Dataset Description
A data set for training LLMs on in-context or Document Question-Answering.
Point of Contact: info@alderley.ai
Dataset Summary
This dataset is an amended version of the SQuAD2.0 dataset, with the question responses amended to be more conversational in nature.
The SQuAD2.0 dataset combines the original set of 100,000 questions from SQuAD1.1 with an additional 50,000 unanswerable questions, crafted intentionally… See the full description on the dataset page: https://huggingface.co/datasets/AlderleyAI/squad_chat.qa_with_personas_squad
QA with Personas (SQuAD Format)
Dataset Description
This dataset is a conversion of the Magneto/qa_with_personas dataset into SQuAD (Stanford Question Answering Dataset) format.
The dataset contains 23,892 question-answering pairs suitable for training and evaluating extractive question answering models.
Dataset Structure
Data Fields
id (string): Unique identifier for the question
title (string): Title of the article/document
context (string): The… See the full description on the dataset page: https://huggingface.co/datasets/Magneto/qa_with_personas_squad.SQuAD-BN-Passage-to-Question
Dataset Card for SQuAD-BN-Passage-to-Question
Dataset Summary
SQuAD-BN-Passage-to-Question is a reformatted and filtered version of the Bangla Question Answering dataset derived from csebuetnlp/squad_bn. The dataset is designed for Bangla text generation and question generation research tasks.
In the original dataset, each context passage is associated with multiple question-answer pairs stored as separate entries. In this modified version:
All questions associated with… See the full description on the dataset page: https://huggingface.co/datasets/Siam0703/SQuAD-BN-Passage-to-Question.Arabic-SQuADv2.0SQUAD_idsquad-pairs-hard-neg-reasoning-embedding
Do Reasoning Models Enhance Embedding Models?
Introduction
This is the dataset used to train the embedding models in the paper Do Reasoning Models Enhance Embedding Models?. We use Qwen3-Embedding-0.6B to mine 3 hard negatives per query, and employ the positive-aware hard negative mining technique introduced in NV-Retriever with 95% margin to the positive score.
Abstract
State-of-the-art embedding models are… See the full description on the dataset page: https://huggingface.co/datasets/lucaswychan/squad-pairs-hard-neg-reasoning-embedding.squad_v2_dutch
Dataset Card for "squad_v2_dutch"
Deprecated: This translation is not recommended. 12% of the translated answers do not appear verbatim in the contexts. Use NetherlandsForensicInstitute/squad-nl-v2.0 instead.
Dataset Summary
The squad_v2_dutch dataset is a machine-translated version of the SQuAD v2 dataset from English to Dutch.
The SQuAD v2 dataset combines the 100,000 questions in SQuAD1.1 with over 50,000 unanswerable questions written adversarially by… See the full description on the dataset page: https://huggingface.co/datasets/yhavinga/squad_v2_dutch.squadForLLMsquad_qaArabic-SQuADArabic-SQuAD: consists of 48,344 questions in 10,364 paragraphs. Note that Arabic-SQuAD is translated from English SQuAD
Arabic QA dataset follows the SQuAD format:
cooking_squad