datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
eth-usdt-1h-candles
ETH-USDT 1-Hour Candles
Full-history 1-Hour-resolution OHLCV candlestick data for the ETH-USDT
trading pair (Ethereum), from 2017-08-17T04:00:00Z to 2026-08-13T23:00:00Z (78,685 candles, UTC).
Covers the pair's entire listed history from first traded candle to the most
recent completed daily session.
Columns
Column
Type
Description
timestamp
int64
Candle open time, Unix epoch milliseconds (UTC)
open
float
Open price
high
float
High price
low
float… See the full description on the dataset page: https://huggingface.co/datasets/humblefool06/eth-usdt-1h-candles.stepverifyarxiv.org/abs/2407.09136
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
Abstract: Large language models (LLMs) present an opportunity to scale high-quality personalized education to all. A promising approach towards this means is to build dialog tutoring models that scaffold students' problem-solving. However, even though existing LLMs perform well in solving reasoning questions, they struggle to precisely detect student's errors and tailor… See the full description on the dataset page: https://huggingface.co/datasets/eth-nlped/stepverify.Research-Intent-Judge
Research Intent — LLM-as-Judge
▶️ Watch the Video
LLM-as-Judge annotations for research paper intent classification, collected
through the Echo-DSRN collaborative platform during the OpenAIRE AI Hackathon 2026.
The dataset has one split per judge model (Gemma_4_E4B_it_GGUF,
Qwen3.6_35B_A3B_GGUF, Bonsai_8B_gguf, ...) plus a human_annotations
split with curator annotations. Split names use underscores in place of the
dashes in model names (HF does not allow dashes in split… See the full description on the dataset page: https://huggingface.co/datasets/ethicalabs/Research-Intent-Judge.mathdial
Mathdial dataset
https://arxiv.org/abs/2305.14536
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems.
MathDial is grounded in math word problems as well as student confusions which provide a challenging testbed for creating faithful and equitable dialogue tutoring models able to reason over complex information. Current models achieve high accuracy in solving such problems but they fail in the task of teaching.
Data… See the full description on the dataset page: https://huggingface.co/datasets/eth-nlped/mathdial.ethos_binaryThis is the binary split of ethos, split into train and test.
It contains comments annotated for hate speech or not.
claude-fable-5-claude-code-etheroi
claude-fable-5 Agent Traces
It's worth noting that our team was working with Glint-Research to collect as much fable data as possible.
These are just the anonymized raw traces of both of our teams combined. This means that Glint-Research/Fable-5-traces was created from formatting and splitting up this same dataset. If you use one for your tune, don't use the other (it's the same exact data).
For training on this dataset I recommend using the teich package to convert to openai… See the full description on the dataset page: https://huggingface.co/datasets/developerjeremylive/claude-fable-5-claude-code-etheroi.hipaa-compliance-training
HIPAA Compliance Training Dataset
Dataset Description
The first comprehensive HIPAA compliance training dataset for LLM fine-tuning, covering the Security Rule, Privacy Rule, Breach Notification Rule, and implementation guidance from NIST and FDA.
Dataset Summary
Total Examples: 1,287 (1,029 train / 258 validation)
Source Documents: 9 federal publications (~5.6 MB extracted content)
Format: JSONL with chat-formatted messages
License: CC0-1.0 (Public Domain)… See the full description on the dataset page: https://huggingface.co/datasets/ethanolivertroy/hipaa-compliance-training.SFT-Ethical-English-5K
Introducing SFT-Ethical-English-5K 🎇
I'm so glad to launch a new SFT dataset focusing on ethical shaping. By creating high-quality ethical contents, I hope this dataset can help you improve or shape your models. (@^0^@)/
SFT-Ethical-English-5K is an original English supervised fine-tuning dataset for ethics, AI alignment, organizational governance, privacy, fairness, and responsible decision-making.
Intended Use
Use this dataset for supervised fine-tuning, safety… See the full description on the dataset page: https://huggingface.co/datasets/OysterCoreAI/SFT-Ethical-English-5K.FunCiv-Data
FunCiv Data
130 Civitai video IDs and 130 saved Main variants. All available
axes are exported. The funscripts and dataset metadata are licensed under
GNU GPL version 3 (see LICENSE). This license does not cover the linked videos.
All variants are unvalidated drafts. Local “Approve & save” actions and quality ratings do not mark them as validated in this dataset.
Look up a video
Compute the lowercase hexadecimal SHA-256 of UTF-8 civitai:<decimal video ID>,
without… See the full description on the dataset page: https://huggingface.co/datasets/ethanfel/FunCiv-Data.papers
Hugging Face Ethics & Society Papers
This is an incomplete list of ethics-related papers published by researchers at Hugging Face.
Gradio: https://arxiv.org/abs/1906.02569
DistilBERT: https://arxiv.org/abs/1910.01108
RAFT: https://arxiv.org/abs/2109.14076
Interactive Model Cards: https://arxiv.org/abs/2205.02894
Data Governance in the Age of Large-Scale Data-Driven Language Technology: https://arxiv.org/abs/2206.03216
Quality at a Glance: https://arxiv.org/abs/2103.12028
A… See the full description on the dataset page: https://huggingface.co/datasets/society-ethics/papers.kor_ethical_question_answerai-ethics-2026
AI Ethics 2026
AI ethics debates, frameworks, guidelines. Updated daily via automated collection pipeline.
Part of the Legion Data Factory — historical AI ecosystem datasets 2026.
Methodology
Automated collection from public sources (HackerNews, RSS feeds, APIs).
Updated daily via cron job. Raw data, minimal processing.
License
CC BY 4.0
📦 Install
pip install legion-intel
from legion_intel import LegionClient
c = LegionClient()… See the full description on the dataset page: https://huggingface.co/datasets/gemmozero/ai-ethics-2026.Research-Intent-Collab
Research Intent — Collaborative Golden Dataset
▶️ Watch the Video
A curated, consensus-labelled dataset for research paper intent classification,
built from the LLM-as-Judge annotations of the Echo-DSRN collaborative platform
(OpenAIRE AI Hackathon 2026).
OpenAIRE AI Hackathon 2026 🇪🇺
This dataset is part of ethicalabs.ai's entry in the OpenAIRE AI Hackathon 2026, co-organised by OpenAIRE and Alien Intelligence — a 12-week open science build challenge.
🔴… See the full description on the dataset page: https://huggingface.co/datasets/ethicalabs/Research-Intent-Collab.visayan-ethnohistory
Visayan Ethnohistory and Matutino Lineage Studies
Author: Karl Romeo Soland y LacsonORCID iD: 0009-0008-0902-4945Wikidata Item: Q140312355Deutsche Nationalbibliothek (DNB) GND/PND Records:
Record ID 1 (PIZ): 1401722016
Record ID 2 (PIZ): 1401575749
Date: June 2026
Dataset: Matutino/visayan-ethnohistory
Dieses Dataset enthält grundlegende Forschungsarbeiten von Karl Romeo Soland y Lacson zur Matutino-Linie aus Anilao (heute Barrio Cabutungan, Sara, Iloilo, Panay… See the full description on the dataset page: https://huggingface.co/datasets/Matutino/visayan-ethnohistory.Text-Scrutiny-LLM-Dataset
Citation Information
If you find our work helpful, please use the following citations.
@misc{cai2024ethicallenscurbingmalicioususages,
title={Ethical-Lens: Curbing Malicious Usages of Open-Source Text-to-Image Models},
author={Yuzhu Cai and Sheng Yin and Yuxi Wei and Chenxin Xu and Weibo Mao and Felix Juefei-Xu and Siheng Chen and Yanfeng Wang},
year={2024},
eprint={2404.12104},
archivePrefix={arXiv},
primaryClass={cs.CV}… See the full description on the dataset page: https://huggingface.co/datasets/Ethical-Lens/Text-Scrutiny-LLM-Dataset.eth-usdt-1m-candles
ETH-USDT 1-Minute Candles
Full-history minute-resolution OHLCV candlestick data for the ETH-USDT
trading pair (Ethereum), from 2017-08-17T04:00:00Z to 2026-08-13T23:59:00Z (4,720,158 candles, UTC).
Covers the pair's entire listed history from first traded minute to the most
recent completed daily session.
Columns
Column
Type
Description
timestamp
int64
Candle open time, Unix epoch milliseconds (UTC)
open
float
Open price
high
float
High price
low… See the full description on the dataset page: https://huggingface.co/datasets/humblefool06/eth-usdt-1m-candles.ios-risk-finetune-v3
IOS Risk Fine-Tune Dataset v3
Quality-gated instruction-tuning data for financial fraud, AML typologies, and
Bank Secrecy Act regulatory recall. This is a research dataset assembled from
public data, official public regulations, deterministic synthetic scenarios,
and validated model-assisted rewrites. It is not production transaction evidence.
Composition
Source
Records
Description
Public tabular benchmark
9,242
ULB/Kaggle credit-card examples; record… See the full description on the dataset page: https://huggingface.co/datasets/Etherlabs/ios-risk-finetune-v3.reddit-ethics
Reddit Ethics: Real-World Ethical Dilemmas from Reddit
Reddit Ethics is a curated dataset of genuine ethical dilemmas collected from Reddit, designed to support research and education in philosophical ethics, AI alignment, and moral reasoning.
Each entry features a real-world scenario accompanied by structured ethical analysis through major frameworks—utilitarianism, deontology, and virtue ethics. The dataset also provides discussion questions, sample answers, and proposed… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/reddit-ethics.ImmuniPrompt-JailbreakDatasetsiceland-tech-christian-ethics-prompts
Fictional Icelandic Landscapes, Technology and Christian Ethics Prompts
This microdataset contains 24 original discussion prompts arranged as 12
parallel pt-BR/English pairs. Each explicitly fictional scenario combines a
landscape motif inspired by Iceland, a technology-governance dilemma, and
concepts that may be explored through Christian ethics. The records do not
describe real Icelandic institutions, policies, communities, or practices, and
they do not claim that Christians… See the full description on the dataset page: https://huggingface.co/datasets/guicybercode/iceland-tech-christian-ethics-prompts.knowledge-graph-rag-retrieval-artifacts
Knowledge Graph RAG Retrieval Artifacts
Pinned vector-retrieval artifacts for the Knowledge Graph RAG Assistant, a Washington State University capstone project combining knowledge-graph and dense-vector retrieval.
This repository is a project-owned, documented mirror of the two binary artifacts used by the maintained application. The files are byte-identical to the current artifacts originally hosted in miverson9/acme10-he-ragapp-embeddings at revision… See the full description on the dataset page: https://huggingface.co/datasets/ethanvillalovoz/knowledge-graph-rag-retrieval-artifacts.Etherll__SuperHermes-details
Dataset Card for Evaluation run of Etherll/SuperHermes
Dataset automatically created during the evaluation run of model Etherll/SuperHermes
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Etherll__SuperHermes-details.web3_intents_to_ethereum_transactions
Natural Language Web3 Intents to Ethereum Transactions
This dataset contains instruction-following examples for mapping natural language Web3 intents to executable Ethereum transaction plans.
It is organized into two JSONL splits:
single_step: one user intent mapped to one on-chain action (hf_single_step_intent2tx.jsonl)
multi_step: one user intent mapped to an ordered list of on-chain actions (hf_multi_steps_intent2tx.jsonl)
Dataset Summary
Total examples: 31,496… See the full description on the dataset page: https://huggingface.co/datasets/Intent2Tx/web3_intents_to_ethereum_transactions.cab
Dataset Card for CAB
Dataset Summary
The CAB dataset (Counterfactual Assessment of Bias) is a human-verified dataset designed to evaluate biased behavior in large language models (LLMs) through realistic, open-ended prompts.Unlike existing bias benchmarks that often rely on templated or multiple-choice questions, CAB consists of more realistic chat-like counterfactual questions automatically generated using an LLM-based framework.
Each question contains counterfactual… See the full description on the dataset page: https://huggingface.co/datasets/eth-sri/cab.cooper-campaign-etherpad-smoke
Cooper Campaign Etherpad smoke substrate
This public dataset contains the clean, non-privileged target contract for a
one-task Campaign interoperability smoke. It identifies the exact public
Etherpad image used by Cooper's August 2026 blue-team pilot and records the
service boundary Cooper already exercised.
The image itself remains in its upstream registry; this repository does not
redistribute container bytes or source code. Campaign should use the exact
digest-pinned… See the full description on the dataset page: https://huggingface.co/datasets/VmaxRL/cooper-campaign-etherpad-smoke.finance-ops-triage-v0.1
Finance Ops Triage v0.1 dataset
The original small, illustrative dataset prepared for Ugo Chukwu's first Unsloth fine-tuning and deployment exercise. The examples were provided during a guided ChatGPT experiment; they are not collected operational transaction records or an independently validated finance policy.
Code and experiment report · Model archive
Structure
Each JSONL row has messages containing system, user, and assistant entries. The assistant content is… See the full description on the dataset page: https://huggingface.co/datasets/Etherlabs/finance-ops-triage-v0.1.ethibench-gt
EthiBench Ground Truth
Expert-annotated ground-truth vulnerability entries for the EthiBench evaluation framework — a practical evaluation protocol for AI pentesting agents, shifting assessment from task completion to validated vulnerability discovery.
📄 Paper: From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World
Dataset Summary
This dataset contains 108 expert-annotated ground-truth vulnerability entries across 3 open-source web… See the full description on the dataset page: https://huggingface.co/datasets/ethiack/ethibench-gt.Etherll__Herplete-LLM-Llama-3.1-8b-details
Dataset Card for Evaluation run of Etherll/Herplete-LLM-Llama-3.1-8b
Dataset automatically created during the evaluation run of model Etherll/Herplete-LLM-Llama-3.1-8b
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Etherll__Herplete-LLM-Llama-3.1-8b-details.Etherll__Qwen2.5-7B-della-test-details
Dataset Card for Evaluation run of Etherll/Qwen2.5-7B-della-test
Dataset automatically created during the evaluation run of model Etherll/Qwen2.5-7B-della-test
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 4 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Etherll__Qwen2.5-7B-della-test-details.eth-usdt-4h-candles
ETH-USDT 4-Hour Candles
Full-history 4-Hour-resolution OHLCV candlestick data for the ETH-USDT
trading pair (Ethereum), from 2017-08-17T04:00:00Z to 2026-08-13T20:00:00Z (19,686 candles, UTC).
Covers the pair's entire listed history from first traded candle to the most
recent completed daily session.
Columns
Column
Type
Description
timestamp
int64
Candle open time, Unix epoch milliseconds (UTC)
open
float
Open price
high
float
High price
low
float… See the full description on the dataset page: https://huggingface.co/datasets/humblefool06/eth-usdt-4h-candles.