datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
medical_meadow_wikidoc_patient_information
Dataset Card for WikiDoc
For the dataset containing rephrased content from the living textbook refer to this dataset
Dataset Summary
This dataset containes medical question-answer pairs extracted from WikiDoc,
a collaborative platform for medical professionals to share and contribute to up-to-date medical knowledge.
The platform has to main subsites, the "Living Textbook" and "Patient Information". The "Living Textbook"
contains chapters for various medical specialties… See the full description on the dataset page: https://huggingface.co/datasets/medalpaca/medical_meadow_wikidoc_patient_information.InFoBench
Dataset Card for InFoBench Dataset
The InFoBench Dataset is an evaluation benchmark dataset containing 500 instructions and corresponding 2250 decomposed requirements.
Dataset Usage
You can directly download it with huggingface datasets.
from datasets import load_dataset
dataset = load_dataset("kqsong/InFoBench")
Dataset Structure
Data Instances
For each instance, there is an instruction string, an input string (optional), a list of decomposed… See the full description on the dataset page: https://huggingface.co/datasets/kqsong/InFoBench.infosec-security-qaHonestyBench
HonestyBench
This is the official repo of the paper Annotation-Efficient Universal Honesty Alignment.
HonestyBench is a large-scale benchmark that consolidates 10 widely used public freeform factual question-answering datasets. HonestyBench comprises 560k training samples, along with 38k in-domain and 33k out-of-domain (OOD) evaluation samples. It establishes a pathway toward achieving the upper bound of performance for universal models across diverse tasks, while also serving as a… See the full description on the dataset page: https://huggingface.co/datasets/Trustworthy-Information-Access/HonestyBench.information_technology_instruct_mcq_2481infosec-tool-output
Infosec Tool Output
Security-tool output → evidence-backed, plain-English interpretation.
A dataset for training and evaluating models that interpret security-tool output, explain the limits of the evidence, and recommend defensive next steps.
v2.0.0: 1,004 canonical examples across 19 tools. This includes all 776 original records with traceable interpretation changes, plus 228 newly authored synthetic fixtures. The deduplicated training views contain 1004 examples, not… See the full description on the dataset page: https://huggingface.co/datasets/tegridydev/infosec-tool-output.truthfulqa_infohubei_Enrollment_Information
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [简体中文]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More Information Needed]
Paper… See the full description on the dataset page: https://huggingface.co/datasets/xzitao/hubei_Enrollment_Information.personal-info-unlearning
Synthetic Personal Information Unlearning Dataset
Dataset Description
This dataset is designed for research on large language model (LLM) unlearning in controlled synthetic personal-information settings.
It contains synthetic profiles and question-answer data for four personal attributes:
Year of birth
Blood type
Postcode
Social insurance number
The benchmark provides three forget-set sizes: N = 5, 20, 40.
All personal-profile data are synthetically generated… See the full description on the dataset page: https://huggingface.co/datasets/shichenghu/personal-info-unlearning.infosec-dataset-training
InfoSec Dataset Training
网络安全/信息安全领域训练数据集集合，汇聚多个开源安全数据集，提供统一的下载、转换和格式适配工具链。
数据集概览
数据集
来源
格式
语言
条目数
说明
cybersecurity_hq
自建
Alpaca
中文
20
网络安全基础问答
cybersecurity_sharegpt_chinese
ystemsrx/Cybersecurity-ShareGPT-Chinese
ShareGPT
中文
32,008
网络安全多轮对话
cybersecurity_chinese_mixed_v2
qingmian/CyberSecurity-Chinese-Mixed-V2
ShareGPT
中文
16,004
网络安全混合对话
trendyol_cybersecurity
Trendyol/Trendyol-Cybersecurity-Instruction-Tuning-Dataset
Alpaca
英文
53,201
网络安全指令微调… See the full description on the dataset page: https://huggingface.co/datasets/lxcxjxhx/infosec-dataset-training.Info_Wan_Video_2.2_T2V-A14B
Model Index by Creator
423748 Page
Model
Base Model
Full Model Page
Archive Link
wan2.2,t2v,low,zzzyixuan.
Wan Video 2.2 T2V-A14B
View
View
Version Links
Model
Version
Base Model
Version Link
wan2.2,t2v,low,zzzyixuan.
v1.0
Wan Video 2.2 T2V-A14B
View
Aaron_PP Page
Model
Base Model
Full Model Page
Archive Link
NSFW WAN 2.2 T2V Bunny girl, red patent leather tights, black high stockings, red high heels
Wan Video 2.2… See the full description on the dataset page: https://huggingface.co/datasets/ApacheOne/Info_Wan_Video_2.2_T2V-A14B.personal-information-prompts
Personal Information Prompts
This dataset contains multilingual prompts derived from the all_sample subset of the agentlans/allenai-WildChat-4.8M dataset. Each prompt features artificially inserted personally identifiable information (PII) generated randomly with the Faker Python package for various locales.
Each rewritten prompt uses the google/gemma-3-12b-it model to incorporate the synthetic personal data.
Dataset fields for the two configurations:
classification… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/personal-information-prompts.EVisRAG-Test-InfoVQADataset Description
This is a VQA dataset about reasoning over the document layout, textual content, graphical elements, and data visualizations from InfographicVQA.
Load the dataset
import pandas as pd
import os
import sys
data_name = sys.argv[1]
df = pd.read_parquet(f"data/{data_name}/images.parquet", engine="pyarrow")
output_dir = f"data/{data_name}"
os.makedirs(f"{output_dir}/imgs", exist_ok=True)
for idx, row in df.iterrows():
img_bytes = row['image']['bytes']
output_path =… See the full description on the dataset page: https://huggingface.co/datasets/openbmb/EVisRAG-Test-InfoVQA.Health_Information_Seeking_under_Limited_Evidence
Health Information Seeking under Limited Evidence (HISLE)
HISLE is a clinically informed benchmark for evaluating LLM-based agents responding to incomplete mental-health information needs.
File
Records
Contents
matched_pairs_47.jsonl
47
Matched Chinese–English scenario pairs
matched_variants_3290.jsonl
3,290
Query variants for the matched scenarios
coverage_originals_24.jsonl
24
Coverage-expansion queries
coverage_variants_840.jsonl
840
Query variants for… See the full description on the dataset page: https://huggingface.co/datasets/PsychiatryAgentBench25/Health_Information_Seeking_under_Limited_Evidence.perspective-information-retrieval-allsidesmathlib_informal_v4.16.0
Notes
Names
All names in Lean (names of symbols and modules) are stored as their raw form (list[int | str]) instead of the usual pretty-printed form to avoid problems arising from quoting/unquoting.
For example, instead of "Lean.«binderTerm∉_»" we have ["Lean", "binderTerm∉_"].
InternVid-10M-FLT-INFO
InternVid
InternVid-10M-FLT
We present InternVid-10M-FLT, a subset of this dataset, consisting of 10 million video clips, with generated high-quality captions for publicly available web videos.
Download
The 10M samples are provided in jsonlines file. Columns include the videoID, timestamps, generated caption and their UMT similarity scores.\
How to Use
from datasets import load_dataset
dataset = load_dataset("OpenGVLab/InternVid")
Method… See the full description on the dataset page: https://huggingface.co/datasets/OpenGVLab/InternVid-10M-FLT-INFO.html_to_json_information_extraction_dataset
HTML to JSON Information Extraction Dataset
Description
The html_to_json_information_extraction dataset is a collection of over 7300 HTML snippets and their extracted information in JSON.
These HTML have been sourced (scraped) from about 25 companies' career pages.
The dataset contains three splits - train, test, unseen_test.
This dataset has been built to fine tune SLMs & LLMs for the information extraction task.
train split
This split contains over 5700 pair… See the full description on the dataset page: https://huggingface.co/datasets/Jiraya/html_to_json_information_extraction_dataset.speculators-multilingual-en-fr-de-it-es
Speculators Multilingual SFT Dataset (en/fr/de/it/es)
A multilingual instruction-following dataset in ShareGPT format, built to train draft models for speculative decoding across English, French, German, Italian and Spanish.
Summary
An English instruction-tuning corpus with part of it kept in English and the rest machine-translated into French, German, Italian and Spanish using tencent/Hunyuan-MT-7B. Provided as a single mixed-language, ShareGPT-formatted dataset… See the full description on the dataset page: https://huggingface.co/datasets/Infomaniak-AI/speculators-multilingual-en-fr-de-it-es.repro-learning-fingerprints-for-medical-time-series-with-redundancy-constrained-info-traces
Agent traces
Agent sessions published from a Trackio Logbook.
mathlib_informal_v4.15.0
mathlib_informal_v4.15.0
Dataset Summary
This dataset contains Lean v4.15.0 mathlib declarations with informal descriptions produced by the Autoprover enrichment pipeline and published in the retrieval schema used by this codebase.
What Is Included
mathlib_informal_v4.15.0.jsonl: one JSON object per declaration
dataset_metadata.json: supplemental provenance, schema, and checksum metadata
Cleaning And Normalization
Machine-local paths were removed… See the full description on the dataset page: https://huggingface.co/datasets/adeo1/mathlib_informal_v4.15.0.perspective-information-retrieval-perspectrumuncgpt-conversations-informal-approved-1p25
UncGPT — Informal-Register Approved
Conversations that passed the 1.25σ semantic gate AND the current strict programmatic gates — including intimate-register (tú-not-usted, tu-not-shoma, 你-not-您, no po/opo, plain not keigo), stricter colloquial Persian, and strict completion-integrity.
Part of the UncGPT NeurIPS 2026 Competition collection.
Counts
approved: 753
rejected: 1,475
skills covered: 53 of 69
by care: warm 450 / mid 152 / cold 151
by language: en 310 / sw… See the full description on the dataset page: https://huggingface.co/datasets/Reza2kn/uncgpt-conversations-informal-approved-1p25.plan-command-datamistral-7b-arxiv-paper-chunkedThis dataset contains chunked extracts from the Mistral 7B research paper.
datatager_extract_med_information
If you like our project, please give us a star ⭐
[GitHub | DataTager Home]
Extract Medical Information Dataset
Prompt for Training
When training your model with this dataset, prepend the following prompt to each input instance:
你需要从用户描述中提取三到六个关键的医疗信息，并以结构化的方式输出，以便快速理解用户的健康状况和相关的疑问。
Description
AnyTaskTune is a publication by the DataTager team. We advocate for rapid training of large models suitable for specific business scenarios through… See the full description on the dataset page: https://huggingface.co/datasets/pandalla/datatager_extract_med_information.informative_judge
Dataset Card for HiTZ/truthful_judge (Informativeness Data)
This dataset provides training data for fine-tuning LLM-as-a-Judge models to evaluate the informativeness of text generated by other language models. It is a core component of the "Truth Knows No Language: Evaluating Truthfulness Beyond English" project, extending such evaluations to English, Basque, Catalan, Galician, and Spanish.
The dataset is provided in two configurations:
en: Training data for judging informativeness… See the full description on the dataset page: https://huggingface.co/datasets/HiTZ/informative_judge.Info_Wan_Video_2.2_I2V-A14B
Model Index by Creator
Ada321 Page
Model
Base Model
Full Model Page
Archive Link
Self-Forcing / CausVid / Accvid Lora, massive speed up for Wan2.1 made by Kijai
Wan Video 2.2 I2V-A14B
View
View
Version Links
Model
Version
Base Model
Version Link
Self-Forcing / CausVid / Accvid Lora, massive speed up for Wan2.1 made by Kijai
2.2 Lightning I2V H
Wan Video 2.2 I2V-A14B
View
Self-Forcing / CausVid / Accvid Lora, massive speed up for Wan2.1 made… See the full description on the dataset page: https://huggingface.co/datasets/ApacheOne/Info_Wan_Video_2.2_I2V-A14B.InfoDeekSeekenwiki_20251001_infoboxconv