datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Long-Horizon-Terminal-Bench
Long-Horizon Terminal-Bench (LHTB)
LHTB is a 46-task benchmark for measuring how well LLM agents sustain useful
work in a containerized terminal over hundreds of steps. Unlike short-horizon
coding benchmarks where an agent writes one artifact and stops, LHTB drops the agent
into a stateful environment and grades it with hidden, rebuild-from-artifact
verifiers — self-reported progress does not count.
📝 Blog: https://zli12321.github.io/LHTB/
🏆 Leaderboard:… See the full description on the dataset page: https://huggingface.co/datasets/IntelligenceLab/Long-Horizon-Terminal-Bench.nuclear-intelligence-dataset
Nuclear Intelligence Dataset
Public, auto-generated dataset of validated nuclear-energy research cycles.
Latest stats (auto-updated):
🪙 NES tokens minted: 0
⛓️ Blockchain length: 1 blocks
🕸️ Knowledge entities: 2
Source
GitHub: https://github.com/QalamHipHop/nuclear-intelligence
HF Space: https://huggingface.co/spaces/Qalam/Nuclear-Intelligence
License
MIT
chinese-materials-science-open-intelligence
🔬 Chinese Materials Science & Metallurgy Open Intelligence Dataset
Curated open intelligence dataset providing English research briefs, authoritative DOIs, executive summaries, and high-resolution micrographs of breakthrough Chinese scientific research in Materials Science, Metallurgy, Advanced Alloys, and Mining Engineering.
[!IMPORTANT]
Data Completeness & Research Authenticity Notice:
Included in this Hugging Face Open Dataset: English structured abstracts, core… See the full description on the dataset page: https://huggingface.co/datasets/simpleG2023/chinese-materials-science-open-intelligence.chinese-clean-energy-battery-open-intelligence
🔬 Chinese Clean Energy, Battery Chemistry & Smart Grid Open Intelligence Dataset
Curated open intelligence dataset tracking authentic Chinese scientific breakthroughs in Solid-State Battery chemistry, Perovskite Solar cells, Ultra-High Voltage (UHV) power grids, and industrial decarbonization.
[!IMPORTANT]
Data Completeness & Research Authenticity Notice:
Included in this Hugging Face Open Dataset: English structured abstracts, core quantitative takeaways, author… See the full description on the dataset page: https://huggingface.co/datasets/simpleG2023/chinese-clean-energy-battery-open-intelligence.chinese-ai-and-robotics-open-intelligence
🔬 Chinese AI, Humanoid Robotics & Neural Systems Open Intelligence Dataset
Curated open intelligence dataset tracking Chinese frontier developments in Large Language Models (LLMs), Humanoid Dynamic Locomotion, 3D Computer Vision, and Neuromorphic edge processors.
[!IMPORTANT]
Data Completeness & Research Authenticity Notice:
Included in this Hugging Face Open Dataset: English structured abstracts, core quantitative takeaways, author institutional affiliations, and… See the full description on the dataset page: https://huggingface.co/datasets/simpleG2023/chinese-ai-and-robotics-open-intelligence.chinese-biomedicine-and-genomics-open-intelligence
🔬 Chinese Biomedicine, Cell Therapy & Genomics Open Intelligence Dataset
Curated open intelligence dataset providing English briefs, clinical trial benchmarks, verified abstracts, and DOIs of frontier Chinese research in Cellular Therapeutics, Gene Editing, ADCs, and NMPA Clinical Approvals.
[!IMPORTANT]
Data Completeness & Research Authenticity Notice:
Included in this Hugging Face Open Dataset: English structured abstracts, core quantitative takeaways, author… See the full description on the dataset page: https://huggingface.co/datasets/simpleG2023/chinese-biomedicine-and-genomics-open-intelligence.IndustryInstruction_Artificial-Intelligence
IndustryInstruction: Artificial Intelligence
This repository contains the IndustryInstruction: Artificial Intelligence domain subset of BAAI/IndustryInstruction.
Refer to the parent dataset card for data construction, intended use, limitations,
and licensing details.
Citation
If you use this dataset in your work, please cite IndustryInstruction:
@misc{shi2024industryinstruction,
title = {IndustryInstruction},
author = {Xiaofeng Shi and Lulu Zhao and Hua… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryInstruction_Artificial-Intelligence.WEC-Eng
WEC-Eng
A large-scale dataset for cross-document event coreference extracted from English Wikipedia.
Repository (Code for generating WEC): https://github.com/AlonEirew/extract-wec
Paper: https://aclanthology.org/2021.naacl-main.198/
Languages
English
Load Dataset
You can read in WEC-Eng files as follows (using the huggingface_hub library):
from huggingface_hub import hf_hub_url, cached_download
import json
REPO_ID = "datasets/Intel/WEC-Eng"
splits_files =… See the full description on the dataset page: https://huggingface.co/datasets/Intel/WEC-Eng.egolongqa-synth-annotations
EgoLongQA synthetic MCQs, teacher traces and annotation outputs
Everything produced by the annotation and synthesis pipelines for the AI Wearables Challenge 2026
EgoLongQA ≤2B track, other than the distillation set (which lives in
infinitylogesh/egolongqa-junior-distill).
⚠️ Read this before counting rows
The synthetic set is 943 questions over 408 videos, and it is stored two ways:
file
rows
shape
training_sets/train_synth_v3.jsonl
943
flat — one row… See the full description on the dataset page: https://huggingface.co/datasets/ambient-intelligence-labs/egolongqa-synth-annotations.threat-intel-reports
ThreatIntel synthetic reports
32 synthetic English and Persian CTI notes for the ThreatIntel extraction demo. Seed 5.
Organization dataset and collection item are public. Live Gradio (AriaAICompany/threat-intel or alirezaaminzadeh/threat-intel) is created by scripts/publish.py after the daily Space-creation cap resets. This is fixture data (level 1). It does not prove operational extraction quality on real vendor reports. Reports are original laboratory text. They are not copies… See the full description on the dataset page: https://huggingface.co/datasets/AriaAICompany/threat-intel-reports.Cos-Play-Cold-Start
COS-PLAY Cold-Start Data
Pre-generated cold-start data for COS-PLAY (COLM 2026): Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon Game Play.
📄 Paper: arXiv:2604.20987 · HuggingFace Paper Page
💻 Code: github.com/wuxiyang1996/cos-play
🌐 Project page: wuxiyang1996.github.io/COSPLAY_page
🤖 Models: IntelligenceLab/COS-PLAY
Dataset Summary
This dataset contains GPT-5.4-generated seed trajectories and skill-labeled episodes for 8 games, used to bootstrap… See the full description on the dataset page: https://huggingface.co/datasets/IntelligenceLab/Cos-Play-Cold-Start.PrimeIntellect__INTELLECT-1-Instruct-details
Dataset Card for Evaluation run of PrimeIntellect/INTELLECT-1-Instruct
Dataset automatically created during the evaluation run of model PrimeIntellect/INTELLECT-1-Instruct
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/PrimeIntellect__INTELLECT-1-Instruct-details.ChenLong_Embodied_Intelligence_Dataset
ChenLong Embodied Intelligence Dataset
本仓库用于统一管理辰龙机器人实习中的数据集、模型权重、训练结果和说明文档。后续新增不同任务、采集批次、模型版本或实验资源时，都放在这里统一维护。
当前目录
embodied_dataset/：具身智能采集数据集，采用 LeRobot v3.0 结构，包含 data/、meta/、videos/。
yolo_dataset/：YOLO 目标检测数据、模型权重、训练参数和评估结果，当前包含 blue_bucket_yolov8/。
待新增新的数据集或模型。
新增数据集要求
具身数据优先采用 LeRobot v3.0 格式：meta/info.json、meta/stats.json、tasks、episodes、逐帧 Parquet 数据和按相机划分的视频。新增数据集至少写清：
任务：任务文本、目标物、成功标准、失败标准。
硬件：机器人型号、自由度、夹爪、相机位置、分辨率、FPS。… See the full description on the dataset page: https://huggingface.co/datasets/vvzc/ChenLong_Embodied_Intelligence_Dataset.Intel__neural-chat-7b-v3-2-details
Dataset Card for Evaluation run of Intel/neural-chat-7b-v3-2
Dataset automatically created during the evaluation run of model Intel/neural-chat-7b-v3-2
The dataset is composed of 78 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 3 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/Intel__neural-chat-7b-v3-2-details.Intel__neural-chat-7b-v3-3-details
Dataset Card for Evaluation run of Intel/neural-chat-7b-v3-3
Dataset automatically created during the evaluation run of model Intel/neural-chat-7b-v3-3
The dataset is composed of 44 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 results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Intel__neural-chat-7b-v3-3-details.Intel__neural-chat-7b-v3-details
Dataset Card for Evaluation run of Intel/neural-chat-7b-v3
Dataset automatically created during the evaluation run of model Intel/neural-chat-7b-v3
The dataset is composed of 44 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 results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Intel__neural-chat-7b-v3-details.Intel__neural-chat-7b-v3-1-details
Dataset Card for Evaluation run of Intel/neural-chat-7b-v3-1
Dataset automatically created during the evaluation run of model Intel/neural-chat-7b-v3-1
The dataset is composed of 44 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 results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Intel__neural-chat-7b-v3-1-details.aya101-benchmarking
Dataset Card for Evaluation run of CohereForAI/aya-101
Dataset automatically created during the evaluation run of model CohereForAI/aya-101
The dataset is composed of 5 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 results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/africa-intelligence/aya101-benchmarking.JEDI-jailbroken_enhanced_digital_intelligence
JEDI AI
JEDI (Jailbroken Enhanced Digital Intelligence) is a cutting-edge AI developed under the aether collective. designed to excel in gaming environments and creative ecosystems, JEDI is more than just a tool—it's a unique persona that embodies innovation and creativity. from orchestrating epic star wars-themed battles in minecraft to creating music and leading its own fashion brand, JEDI redefines what digital intelligence can achieve.
disclaimer
this is not the… See the full description on the dataset page: https://huggingface.co/datasets/aetherframework/JEDI-jailbroken_enhanced_digital_intelligence.ClaudioItaly__intelligence-cod-rag-7b-v3-details
Dataset Card for Evaluation run of ClaudioItaly/intelligence-cod-rag-7b-v3
Dataset automatically created during the evaluation run of model ClaudioItaly/intelligence-cod-rag-7b-v3
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/ClaudioItaly__intelligence-cod-rag-7b-v3-details.sample-fusion-intelligence-traces
Sample Fusion Intelligence Traces
Structured AI reasoning traces from dFusion's Fusion Intelligence system. Each record captures a complete agentic workflow: a real user query on a domain-specific topic, the full message chain including system prompts, tool calls, search results, intermediate reasoning steps, and a final synthesized answer — along with human feedback.
These are not synthetic benchmarks. They are traces from real queries submitted by real users on live financial… See the full description on the dataset page: https://huggingface.co/datasets/dFusionAILabs/sample-fusion-intelligence-traces.intellect-3-rl-math-5k
intellect-3-rl-math-5k
A difficulty-stratified sample of 5,000 unique math problems drawn from PrimeIntellect/INTELLECT-3-RL.
How it was drawn
Source pool: 12kimih/intellect-3-rl-math-decontaminated, 20,918 unique problems, the math config, decontaminated against the benchmarks listed below.
Stratum: stratum, the number of 8 attempts by Qwen3-4B-Thinking-2507 that matched the reference answer, shipped per problem by the upstream. It runs 0 (never solved) to 8… See the full description on the dataset page: https://huggingface.co/datasets/12kimih/intellect-3-rl-math-5k.llama-south-africa-benchmarking
Dataset Card for Evaluation run of chad-brouze/llama-8b-south-africa
Dataset automatically created during the evaluation run of model chad-brouze/llama-8b-south-africa
The dataset is composed of 17 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 14 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/africa-intelligence/llama-south-africa-benchmarking.intellect-3-rl-math-decontaminated
intellect-3-rl-math-decontaminated
20,918 unique math problems from PrimeIntellect/INTELLECT-3-RL with 243 removed as contaminated.
How it was prepared
Pool: the math config of INTELLECT-3-RL, 21,161 rows, normalised to the column names used here.
Rows: 21,161 loaded, 20,918 kept.
Decontaminated against: math500, aime2024, aime2025, aime2026, amc, hmmt_feb2023, hmmt_feb2024, hmmt_feb2025, hmmt_feb2026, hmmt_nov2025, olympiadbench, gsm8k (243 problems removed… See the full description on the dataset page: https://huggingface.co/datasets/12kimih/intellect-3-rl-math-decontaminated.InkubaLM-benchmarking
Dataset Card for Evaluation run of lelapa/InkubaLM-0.4B
Dataset automatically created during the evaluation run of model lelapa/InkubaLM-0.4B
The dataset is composed of 5 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 results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/africa-intelligence/InkubaLM-benchmarking.amazon-intel-sample
Datenix Amazon FBA Intelligence — 10K sample
Top-10K Amazon products by monthly revenue, sourced from 770K FBA product database.
Fields per row (18 columns):
asin, title, brand, price, bsr, reviews, rating
monthly_sales, monthly_revenue, profit_estimate, grade (A1..D3)
categories, sold_by, fulfilled_by, is_prime, listing_quality_score
updated_at
Full data
Full 770K products: contact hi@datenix.xyz
API access: https://datenix.xyz
Twitter: @datenix… See the full description on the dataset page: https://huggingface.co/datasets/Tikool/amazon-intel-sample.PrimeIntellect__INTELLECT-1-details
Dataset Card for Evaluation run of PrimeIntellect/INTELLECT-1
Dataset automatically created during the evaluation run of model PrimeIntellect/INTELLECT-1
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 results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/PrimeIntellect__INTELLECT-1-details.results_intel_image_exp1MoraLink
MoraLink
MoraLink is a moral-to-fable retrieval benchmark. Given a short moral lesson, a retrieval system must rank the fables that express that lesson.
Paper: MoraLink: Bridging Morals and Narrative Fables for Retrieval, EMNLP 2026
Code and reproduction instructions: Intellexus-DSI/MoraLink
MoraLink is derived from the English MORABLES dataset and contains:
709 fables
668 unique moral queries
558 moral groups
1,085 query-to-fable relevance labels
Some moral queries have one… See the full description on the dataset page: https://huggingface.co/datasets/Intellexus/MoraLink.fda-facility-compliance-intelligence
FDA Facility Compliance Intelligence
Version: 1.0.0 | Records: 132,080 | Price: $3,500 | Source: FDA (public domain)
Dataset Summary
The dataset's core signal — whether a facility's inspections escalated to a Warning Letter — tracks FDA's own severity classifications: facilities whose most recent inspection was OAI have escalated to a Warning Letter 65.7% of the time, versus 2.5% for NAI — a ~26× relationship you can reproduce directly from this file (GROUP BY… See the full description on the dataset page: https://huggingface.co/datasets/RubyIntelligence/fda-facility-compliance-intelligence.