datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
claude-protein-binder-design
Claude protein binder design — data release v1.0
1,440 de novo miniprotein binders (50 to 120 residues) against 16 targets, designed by two Claude models operating as autonomous protein-design agents (Mythos Preview, 900 designs; Opus 4.8, 540 designs) and characterized at two contract research organizations, Adaptyv Bio (cell-free expression; SPR/BLI kinetics with the design immobilized) and Twist Bioscience (Fc-fusion expression; capture SPR with a six-point antigen… See the full description on the dataset page: https://huggingface.co/datasets/Anthropic/claude-protein-binder-design.DesignCoder
DesignCoder UI Bench 200 — API 模型对比
7 个 API 模型在 DesignCoder 200 题 UI 生成基准上的产物与评分。
每条记录包含：任务 prompt、模型生成的单文件 HTML、渲染截图，以及三族 rubric 的逐条判定。
评测日期 2026-09-26 · judge = deepseek-v4.1-flash-expires-on-0910 · 生成状态：完整：每个模型 200 题全部生成并评分。
分数
按各模型已完成题目平均（覆盖不同时不可横向比较）：
模型
网关 id
已生成
Overall
Overall(no-VSD)
Prompt Fit
Frozen
Landing
Dashboard
GPT-5.2
api_azure_openai_gpt-5.2
200
89.90
88.38
88.33
86.37
92.09
85.83
DeepSeek-V4 Flash
deepseek-v4-flash
200
89.17
87.40… See the full description on the dataset page: https://huggingface.co/datasets/xingxm/DesignCoder.FSHR_Agonist_Designs_8I2G
FSHR Allosteric Agonist Designs — 8I2G (GA-II)
292 small molecules generated de novo by the Technetium TC-43.ai engine (GA-II), conditioned on the transmembrane allosteric pocket of the follicle-stimulating hormone receptor (FSHR), using PDB 8I2G as the receptor.
Each molecule was constructed against this pocket rather than selected from a compound library — docking (AutoDock Vina) came afterwards, to place and score the generated molecules in the site. All 292 are profiled for… See the full description on the dataset page: https://huggingface.co/datasets/Tc-43/FSHR_Agonist_Designs_8I2G.SMARCA2_VHL_MolecularGlue_Designs_6HAY
SMARCA2–VHL Molecular Glue Designs (PDB 6HAY)
884 small molecules generated de novo by the Technetium TC-43.ai engine (GA-II), conditioned on the SMARCA2 bromodomain–VHL interface of the ternary complex 6HAY (2.24 Å), so that one molecule spans both partners.
Each molecule was constructed against this pocket rather than selected from a compound library — docking (AutoDock Vina) came afterwards, to place and score the generated molecules in the site. Each is supplied as a… See the full description on the dataset page: https://huggingface.co/datasets/Tc-43/SMARCA2_VHL_MolecularGlue_Designs_6HAY.FKBP12_F36V_Binder_Designs_1BL4
FKBP12 F36V Binder Designs (PDB 1BL4)
165 small molecules generated de novo by the Technetium TC-43.ai engine (GA-II), conditioned on the engineered FKBP12 F36V bump-hole cavity of 1BL4 (1.9 Å).
Each molecule was constructed against this pocket rather than selected from a compound library — docking (AutoDock Vina) came afterwards, to place and score the generated molecules in the site. Each is supplied as a complete protein–ligand complex.
Molecules were generated by the… See the full description on the dataset page: https://huggingface.co/datasets/Tc-43/FKBP12_F36V_Binder_Designs_1BL4.ORMDL3_Ceramide_Site_Designs_7YIU
ORMDL3–SPT Ceramide-Sensing Site — GA-II Designed Ligand–Receptor Complexes
Why this target matters. The 17q21 locus is the most reproducible genetic association in childhood-onset asthma and acts through ORMDL3 expression — and it drives airway hyperreactivity independently of allergy and inflammation. Every approved asthma biologic targets inflammation, so the patients this mechanism describes are precisely the ones those drugs fail.
477 small molecules generated de novo by… See the full description on the dataset page: https://huggingface.co/datasets/Tc-43/ORMDL3_Ceramide_Site_Designs_7YIU.design-bench
SciModelingBench Design-Bench Data
Canonical, provenance-tracked observations for scientific modeling and design Tasks.
GitHub
·
Python Package
·
Documentation
·
Organization
This repository stores the scientific observation layer used by the
SciModelingBench Design-Bench suite. The Python package supplies validators,
Agent-visible Protocols, trusted Objectives, submission contracts, and Task
metrics. Data and evaluation logic… See the full description on the dataset page: https://huggingface.co/datasets/sci-modeling-bench/design-bench.PDE5_Inhibitor_Designs_2H42
PDE5 Inhibitor Designs — 2H42 / GA-II
Why this target matters. PDE5 inhibitors are among the most widely prescribed drugs in the world, and the target remains actively pursued in pulmonary arterial hypertension and cardiac indications far beyond its original use.
2,090 small molecules generated de novo by the Technetium TC-43.ai engine (GA-II), conditioned on the catalytic pocket of human cGMP-specific phosphodiesterase 5 (PDE5A), taken from the sildenafil co-crystal 2H42 (2.3… See the full description on the dataset page: https://huggingface.co/datasets/Tc-43/PDE5_Inhibitor_Designs_2H42.FR5_task1_move_the_brown_colored_glass_bottle_to_the_designated_location_200This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "fairino_follower",
"total_episodes": 200,
"total_frames": 119190,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:200"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/coport-uni/FR5_task1_move_the_brown_colored_glass_bottle_to_the_designated_location_200.GPR75_Intracellular_Antagonist_Designs_GA-II
GPR75 Intracellular Antagonist Designs — Technetium GA-II
156 small molecules generated de novo by the Technetium TC-43.ai engine (GA-II), conditioned on the intracellular allosteric site of GPR75 — a class A orphan GPCR and first-in-class anti-obesity target with human genetic validation.
Each molecule was constructed against this pocket rather than selected from a compound library — docking (AutoDock Vina) came afterwards, to place and score the generated molecules in the… See the full description on the dataset page: https://huggingface.co/datasets/Tc-43/GPR75_Intracellular_Antagonist_Designs_GA-II.SAMTOR_Novel_Target_Designs_GA-II
SAMTOR — SAM-competitive de novo designs (Technetium GA-II)
196 small molecules across two generations, generated de novo by the Technetium TC-43.ai engine (GA-II) and conditioned on the S-adenosylmethionine (SAM) pocket of human SAMTOR.
Each molecule was constructed against this pocket rather than selected from a compound library — docking (AutoDock Vina) came afterwards, to place and score the generated molecules in the site. With no approved drug, clinical candidate or… See the full description on the dataset page: https://huggingface.co/datasets/Tc-43/SAMTOR_Novel_Target_Designs_GA-II.PittImageVideoAdsDataset
Dataset Card for PittImageVideoAdsDataset
Dataset Summary
PittImageVideoAdsDataset is the image and video advertisement dataset released with Automatic Understanding of Image and Video Advertisements. The paper reports 64,832 image advertisements and 3,477 YouTube advertisement videos, with human annotations for topics, sentiments, slogans, persuasive strategies, symbolic references, and action/reason Q/A. This Hugging Face version exposes the public annotation… See the full description on the dataset page: https://huggingface.co/datasets/creative-graphic-design/PittImageVideoAdsDataset.Nav1.7_VSD4_NonAnionic_Designs_8I5G
Nav1.7 VSD4 Non-Anionic Designs — 8I5G (GA-II)
Why this target matters. Human genetics validates Nav1.7 as thoroughly as any pain target
in existence — loss-of-function carriers are congenitally insensitive to pain, gain-of-function
mutations cause erythromelalgia — yet no Nav1.7 blocker has reached approval, and the clinical
failures of the aryl sulfonamide class are widely attributed to the properties that come with
its anionic warhead.
459 small molecules generated de novo… See the full description on the dataset page: https://huggingface.co/datasets/Tc-43/Nav1.7_VSD4_NonAnionic_Designs_8I5G.VHL_NonProline_Binder_Designs_9GIO
VHL Non-Proline Binder Designs (9GIO)
279 small molecules generated de novo by the Technetium TC-43.ai engine (GA-II), conditioned on the VHL substrate-recognition pocket of the VHL–ElonginC–ElonginB (VCB) complex (PDB 9GIO), with the field's usual hydroxyproline anchor withheld during generation.
Each molecule was constructed against this pocket rather than selected from a compound library — docking (AutoDock Vina) came afterwards, to place and score the generated molecules in… See the full description on the dataset page: https://huggingface.co/datasets/Tc-43/VHL_NonProline_Binder_Designs_9GIO.THRB_Agonist_Designs_1R6G
THRβ Agonist Designs — 1R6G (GA-II)
Why this target matters. Thyroid hormone drives lipid clearance and hepatic fat oxidation,
but thyroid hormone itself is unusable as a drug because THRα engagement causes tachycardia,
arrhythmia and bone loss. Resmetirom's 2024 approval for MASH proved that a β-selective
thyromimetic can separate the metabolic benefit from the cardiac liability — and made
β-over-α selectivity the whole game for this target.
188 small molecules generated de… See the full description on the dataset page: https://huggingface.co/datasets/Tc-43/THRB_Agonist_Designs_1R6G.RPIA_Inhibitor_Designs_GA-II
RPIA Inhibitor Designs — Technetium GA-II
21 small molecules generated de novo by the Technetium TC-43.ai engine (GA-II), conditioned on the active site of RPIA (ribose-5-phosphate isomerase A), a first-in-class longevity target with no prior inhibitor to screen for.
Each molecule was constructed against this pocket rather than selected from a compound library — docking (AutoDock Vina) came afterwards, to place and score the generated molecules in the site. Each is docked into a… See the full description on the dataset page: https://huggingface.co/datasets/Tc-43/RPIA_Inhibitor_Designs_GA-II.LHCGR_Agonist_Designs_7FIH
LHCGR Allosteric Agonist Designs — 7FIH (GA-II)
993 small molecules generated de novo by the Technetium TC-43.ai engine (GA-II), conditioned on the transmembrane allosteric pocket of the luteinizing hormone / choriogonadotropin receptor (LHCGR), using PDB 7FIH as the receptor.
Each molecule was constructed against this pocket rather than selected from a compound library — docking (AutoDock Vina) came afterwards, to place and score the generated molecules in the site. All 993 are… See the full description on the dataset page: https://huggingface.co/datasets/Tc-43/LHCGR_Agonist_Designs_7FIH.Lipoprotein-a-Binder-Designs
Lipoprotein(a) Binder Designs — apo(a) KIV-8 / 8TCE
Why this target matters. Lp(a) is the most common genetic cardiovascular risk factor in the world, affecting roughly a fifth of the population, and the only major one with no approved therapy.
100 small molecules generated de novo by the Technetium TC-43.ai engine (GA-II), conditioned on the lysine-binding site of kringle IV type 8 (KIV-8) of apolipoprotein(a), using the 1.07 Å co-crystal 8TCE — Lp(a) KIV-8 in complex with… See the full description on the dataset page: https://huggingface.co/datasets/Tc-43/Lipoprotein-a-Binder-Designs.GPR75_Inhibitor_Designs_GA-II
GPR75 Inhibitor Designs — Technetium GA-II
139 small molecules generated de novo by the Technetium TC-43.ai engine (GA-II), conditioned on the extracellular vestibule of GPR75, a first-in-class anti-obesity target.
Each molecule was constructed against this pocket rather than selected from a compound library — docking (AutoDock Vina) came afterwards, to place and score the generated molecules in the site. Each is docked into a rigid receptor afterwards and supplied as a full… See the full description on the dataset page: https://huggingface.co/datasets/Tc-43/GPR75_Inhibitor_Designs_GA-II.am-session-sharing-design
Agent Manager session — designing session sharing
Access: public. Anyone with the link can read this trace. Public is the only mode
where the Hub's trace viewer works for every visitor regardless of account tier.
A single real Agent Manager
session, exported as a shareable trace. This is the working session in which the
session-sharing design itself was researched and written — surveying how five coding-agent
harnesses persist sessions, testing what the Hub's trace viewer can… See the full description on the dataset page: https://huggingface.co/datasets/thomwolf/am-session-sharing-design.capstone-design
capstone design
Robot demonstration datasets collected with an SO101 leader arm and a
Piper follower arm. This repository contains finalized dresser*, pickandplace*, and
pick&place14 through pick&place33 recording sessions in LeRobot v3.0 format.
Contents
42 recording-session datasets, 389 episodes, and 154,762 timesteps.
dresser*: 85 episodes and 52,054 timesteps.
pickandplace*: 104 episodes and 77,106 timesteps.
pick&place14 through pick&place33: 200 episodes… See the full description on the dataset page: https://huggingface.co/datasets/khb2439/capstone-design.STAT6_Binder_Designs_GA-II
STAT6 Binder Designs — GA-II
199 de novo small-molecule binders designed against the STAT6 ligand pocket of
PDB 9BIG (Stat6 bound to the degrader AK-1690, X-ray 3.30 Å, UniProt P42226).
Each design ships with its docked pose, the shared receptor, and the full protein–ligand
complex, so the chemistry can be checked against the pocket rather than taken on trust.
Contents
File
What it is
designs.csv
one row per design — SMILES, docking score, and computed… See the full description on the dataset page: https://huggingface.co/datasets/Tc-43/STAT6_Binder_Designs_GA-II.am-session-sharing-design-noimg
Agent Manager session — designing session sharing
Access: public. Anyone with the link can read this trace. Public is the only mode
where the Hub's trace viewer works for every visitor regardless of account tier.
A single real Agent Manager
session, exported as a shareable trace. This is the working session in which the
session-sharing design itself was researched and written — surveying how five coding-agent
harnesses persist sessions, testing what the Hub's trace viewer can… See the full description on the dataset page: https://huggingface.co/datasets/thomwolf/am-session-sharing-design-noimg.capstone-design-by-task
세 task별 LeRobot v3.0 병합 결과
영어 task 적용 완료 · 위·아래 서랍 분류 사용자 확인 완료
사용자가 지정한 세 task를 영어 자연어 지시문으로 다듬어 meta/tasks.parquet와 에피소드 메타데이터에 적용했다. 각 task 폴더가 독립된 LeRobot v3.0 데이터셋이다. 한국어 문구는 보고서와 JSON의 설명·원래 요청 기록에만 남기며, 학습용 task 문자열은 영어다.
Task
실제 저장된 지시문
에피소드
프레임
데이터셋 폴더
1
Open the lower drawer, place the chocolates in yellow wrappers inside, and close the drawer.
47
27,619
chocolate_lower_drawer
2
Open the upper drawer, place the chocolates in yellow wrappers inside, and… See the full description on the dataset page: https://huggingface.co/datasets/khb2439/capstone-design-by-task.adaption-architecture-design-wikipedia-ccbysa
Architecture and Design Reference Text (Wikipedia)
Reference-style explanations and passage continuations taken verbatim from English Wikipedia articles.
Rows
1,952
Domain
architecture and design
Format
data.parquet, one row per example
Licence
cc-by-sa-4.0
Built for
supervised fine-tuning (SFT) experiments on Adaption AutoScientist
Columns
Column
Description
original_prompt
The prompt (user turn) as uploaded.… See the full description on the dataset page: https://huggingface.co/datasets/rodriguescarson/adaption-architecture-design-wikipedia-ccbysa.FR5_task1_move_the_brown_colored_glass_bottle_to_the_designated_location_100This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "fairino_follower",
"total_episodes": 100,
"total_frames": 64223,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:100"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/coport-uni/FR5_task1_move_the_brown_colored_glass_bottle_to_the_designated_location_100.africa-synth-concrete-mix-design-nigeria-nigeria
Africa Synth Concrete Mix Design Nigeria Nigeria | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: infrastructure_transport - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-concrete-mix-design-nigeria-nigeria.2026-08-26-sonnet45-post-action-retrospection-natural-turn-design
synth post_action_retrospection run — per-stage snapshots (resumable generation cache)
field
value
experiment
synth post_action_retrospection run — per-stage snapshots (resumable generation cache)
date_generated
20260826_152715
constitution
constitutions/claude_distilled_12_principles_mid/constitution.md
source_repo
https://github.com/Matthew-Bozoukov/Lessons_from_constituitional_AFT.git @ c2fdee460e71fa28e9902edf1cc662db0d19cad8
models
per-stage models — see… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-08-26-sonnet45-post-action-retrospection-natural-turn-design.truss-design-studyThis dataset containe a variety of structural truss designs from a human subjects research experiment.
ui-design-audit-dataset
UI Design Audit Screenshot Benchmark v2.1
A reproducible synthetic benchmark of 3,000 mobile and web UI screenshots labeled across 12 design-risk categories.
Splits
train: 2,400
validation: 300
test: 300
Labels
small_touch_targets
low_contrast
action_overload
navigation_overload
form_friction
content_density
responsive_risk
modal_overuse
deep_scrolling
weak_hierarchy
interaction_overload
mobile_web_mismatch
Data creation
Every… See the full description on the dataset page: https://huggingface.co/datasets/newazhala/ui-design-audit-dataset.