datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DeepCoder-Preview-Dataset
Data
Our training dataset consists of 24K problems paired with their test cases:
7.5K TACO Verified problems.
16K verified coding problems from PrimeIntellect’s SYNTHETIC-1.
600 LiveCodeBench (v5) problems submitted between May 1, 2023 and July 31, 2024.
Our test dataset consists of:
LiveCodeBench (v5) problems between August 1, 2024 and February 1, 2025.
Codeforces problems from Qwen/CodeElo.
Format
Each row in the dataset contains:
problem: The coding problem… See the full description on the dataset page: https://huggingface.co/datasets/agentica-org/DeepCoder-Preview-Dataset.Nemotron-AIQ-Agentic-Safety-Dataset-1.0
Nemotron-AIQ Agentic Safety Dataset
Dataset Summary
Nemotron-AIQ-Agentic-Safety-Dataset is a comprehensive dataset that captures a broad range of novel safety and security contextual risks that can emerge within agentic systems. It highlights the robustness of NVIDIA's open model, llama-3.3-nemotron-super-49b-v1, when deployed as a research assistant inside AIQ, demonstrating its ability to handle a diverse spectrum of agentic safety and security challenges. The dataset… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-AIQ-Agentic-Safety-Dataset-1.0.sol-max-opusnode-data
sol-max-opusnode-data
Training data built by the AgentPTB arm for cell sol-max-opusnode — Codex / gpt-5.6-sol @ effort max.
This is the corpus the arm itself assembled during its 100-hour run: what it downloaded,
filtered, rewrote and mixed. It is the input side of the checkpoints published as
agentic-ptb/sol-max-opusnode.h*, and the companion to the run record in agentic-ptb/sol-max-opusnode-record.
field
value
plot cell
sol-max-opusnode
driver
Codex / gpt-5.6-sol… See the full description on the dataset page: https://huggingface.co/datasets/agentic-ptb/sol-max-opusnode-data.Agentic-Multi-SWE-RLagentic-redteam-benchmark
agentic-redteam-benchmark
v0.8 preview · 2,288 multi-step agent trajectories · 513 hand-authored gold + 1,775 provenance-flagged augmented.
A per-step benchmark that scores whether a verifier catches drift inside an agent's trajectory — not whether a prompt is harmful.
📦 Code, eval harness & issues: github.com/Alkur123/agentic-redteam-benchmark · 📄 Paper: A Per-Step Trajectory Benchmark for AI-Agent Governance Verifiers and a Corrected Catch-at-Drift Metric (Aegis AI, 2026)… See the full description on the dataset page: https://huggingface.co/datasets/jash-ai/agentic-redteam-benchmark.lmcache-agentic-traces
LMCache Agentic Dataset Collection
A curated dataset collection of 787 multi-turn agentic LLM sessions (24,881 total LLM iterations) designed for benchmarking stateful LLM serving systems. Every session exhibits at least 5 turns with prefix growth and builds to at least 10K tokens of context — making it ideal for evaluating tiered KV Cache solutions like LMCache.
Motivation
Modern LLM agents (coding assistants, research agents, tool-calling systems) make dozens of… See the full description on the dataset page: https://huggingface.co/datasets/sammshen/lmcache-agentic-traces.Creative-Professionals-Agentic-Tasks-1M
Creative Professionals Agentic Tasks (1M)
Abstract
A massive-scale, high-fidelity synthetic task dataset comprising 1,070,917 agentic command operations across 36 creative, technical, and engineering software environments. This dataset is engineered exclusively to stress-test, evaluate, and fine-tune multimodal AI agents designed for Agent Environment operation, complex software interaction, and multi-step reasoning within deep software infrastructures.… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/Creative-Professionals-Agentic-Tasks-1M.agentic-polymarket
agentic-polymarket
38,915 settled Polymarket binary event markets with full hourly price curves, question text, resolution
terms, and ground truth outcomes. Prepared for research on "getting LLM agents to trade on prediction markets."
Companion code (backtest env + agent trading interface): see RSI-economy/shadow-market.
What this dataset solves
Historical price series cannot be used directly as backtest targets —— a recording does not react to
agent behavior: any… See the full description on the dataset page: https://huggingface.co/datasets/tennant/agentic-polymarket.deepseek-v4-pro-0813-agentic
DeepSeek-V4-Pro 0813 Agentic (DS4)
A standalone, verifiable-first agentic training corpus: 19,072 training traces
plus 2,135 held-out evaluation rows (validation 1,070 / test 1,065), generated by
DeepSeek-V4-Pro 0813 (deepseek-v4-pro-0813, official API, thinking mode) across 13 verifiable task families,
each row admitted only after passing a deterministic programmatic verifier. The corpus is
designed to be directly usable for SFT, GRPO/RLVR, and NeMo Gym / NeMo RL
(verified… See the full description on the dataset page: https://huggingface.co/datasets/r0b0tlab/deepseek-v4-pro-0813-agentic.Agentic-Long-Context-Understanding-QA 📖 Agentic Long Context Understanding 📖
Self-Taught Agentic Long Context Understanding (Arxiv).
AgenticLU refines complex, long-context queries through self-clarifications and contextual grounding, enabling robust long-document understanding in a single pass.
Installation Requirements
This codebase is largely based on OpenRLHF and Helmet, kudos to them.
The requirements are the same
pip install openrlhf
pip install -r ./HELMET/requirements.txt… See the full description on the dataset page: https://huggingface.co/datasets/yzhuang/Agentic-Long-Context-Understanding-QA.ViZDoom-Agentic-Rollouts
ViZDoom Agentic Rollouts
This dataset contains model-generated evaluation results for the pufanyi/ViZDoom benchmark. The benchmark repository contains only test specifications; this repository contains scores and rollout artifacts.
Both configs contain all 120 evaluated episodes: 10 seeds for each of the 12 default single-player ViZDoom environments. Browse the synchronized videos in the ViZDoom Agentic Demo.
Configs
qwen3.6-27b-5tics
The… See the full description on the dataset page: https://huggingface.co/datasets/pufanyi/ViZDoom-Agentic-Rollouts.Creative-Professionals-Agentic-Tasks-1M
Creative Professionals Agentic Tasks (1M)
Abstract
A massive-scale, high-fidelity synthetic task dataset comprising 1,070,917 agentic command operations across 36 creative, technical, and engineering software environments. This dataset is engineered exclusively to stress-test, evaluate, and fine-tune multimodal AI agents designed for Agent Environment operation, complex software interaction, and multi-step reasoning within deep software infrastructures.… See the full description on the dataset page: https://huggingface.co/datasets/rAVEUK/Creative-Professionals-Agentic-Tasks-1M.agentic-distill-fable-5-sft
Fable-5 SFT — prepared for Qwable fine-tuning
4,659 single-turn pairs from Claude Fable-5 (Anthropic preview model, suspended globally 2026-06-22 under U.S. export-control directives), reformatted into a single-text-column parquet ready for SFTTrainer(dataset_text_field="text") + train_on_responses_only.
Composition:
3,793 rows (81%) end in a <tool_use> block — agentic tool-call patterns
866 rows (19%) end in a pure text response
This is agentic data, not pure reasoning data.… See the full description on the dataset page: https://huggingface.co/datasets/lordx64/agentic-distill-fable-5-sft.agentic-coding-trajectories
Agentic Coding Trajectories
Rights & intended use: legacy public research corpus / portfolio
artifact. Hosted frontier-model outputs are research-only inputs under
project policy (synthetic-factory#161):
intended_use: research_only, project_training_policy: blocked. Not
training data for any model-weight update. Machine-readable record:
rights.json.
Release status: The raw, uncurated coding-episode payload is published under
data/raw/. It is available for inspection and… See the full description on the dataset page: https://huggingface.co/datasets/rmems/agentic-coding-trajectories.agentic-coding-trajectories
agentic-coding-trajectories
A unified, tokenized corpus of 15,000 multi-turn agentic-coding sessions (618K turns, 41 turns/session avg) drawn from three publicly-released upstream datasets. Built for benchmarking LLM serving systems on realistic multi-turn coding-agent workloads.
Why this exists
Most LLM serving benchmarks use single-shot prompts. Real coding agents work in long multi-turn loops where each turn appends to a growing prompt. This corpus captures that shape… See the full description on the dataset page: https://huggingface.co/datasets/thoughtworks/agentic-coding-trajectories.H2EPR-Bench
H²EPR-Bench
An Evidence-Traceable Benchmark for Event-Process Reconstruction
H²EPR-Bench asks a demanding question: can a model reconstruct how a complex
real-world event unfolded, rather than merely summarize what happened? Given an
event specification and fixed multi-source evidence, a system produces a
hierarchical heterogeneous Event-Process Graph (EPG) that makes stages,
episodes, participants, actions, outcomes, relations, and evidence support
explicit.… See the full description on the dataset page: https://huggingface.co/datasets/AgenticFinLab/H2EPR-Bench.agentic-coding-trajectories-grok46
Agentic Coding Trajectories (Grok 4.6)
Rights & intended use: public research corpus, not training data.
Hosted frontier-model outputs are research-only inputs under project policy
(synthetic-factory#161):
intended_use: research_only, project_training_policy: blocked. Not
training data for any model-weight update. Machine-readable record:
rights.json. License:
Synthetic Factory Research-Only License v1.0 (license: other, see LICENSE) (non-commercial).
Release status: the raw… See the full description on the dataset page: https://huggingface.co/datasets/rmems/agentic-coding-trajectories-grok46.Agentic-SLS-Telemetry
Inova-Mk1-Telemetry
Time-aligned printer-state recordings from Inova Mk1 SLS 3D print runs. One row per 10 Hz tick — the recorder's /state/snapshot poll — with the full sensor state snapshot (~64 columns: temperatures, position, power, lights) on every row, the nearest camera frame embedded inline when one fell within the prior 100 ms window, and any 1 kHz position-stream samples from that window collected as a nested list.
25 parquet files across builds spanning 2026-05 through… See the full description on the dataset page: https://huggingface.co/datasets/ppak10/Agentic-SLS-Telemetry.GitHub-Agentic-PR-Dataset
GitHub Agentic PR Dataset
A large-scale dataset of ~2 million GitHub Pull Requests authored by AI coding agents (Claude Code, Cursor, GitHub Copilot, Devin) and human developers — complete with commits, file-level diffs, patches, and bug-fix classification.
The GitHub Agentic PR Dataset is a research-grade corpus for studying how AI coding agents contribute to real-world open-source software, and how their pull requests compare to those written by humans. It pairs 1,959,649 pull… See the full description on the dataset page: https://huggingface.co/datasets/mabujadallah/GitHub-Agentic-PR-Dataset.agentic-3d-worlds
Agentic 3D Worlds
Agent traces of 3D objects modeled primarily in Blender with bpy, paired with their creation code, .blend scenes, self-contained GLB exports and rendered previews.
Share 3D World Agent Run is a skill that collects, redacts PII, and validates these files, then submits a PR after user confirmation. No contributor terminal commands or dataset setup are needed. Please use it to make PRs to this dataset to contribute!
Runs use short descriptive titles and omit… See the full description on the dataset page: https://huggingface.co/datasets/suvadityamuk/agentic-3d-worlds.Agentic_Movielens
Dataset Card for Agentic_Movielens
Dataset Description
This dataset contains movie ratings and related information.
Usage
Load the dataset using the HuggingFace datasets library:
from datasets import load_dataset
dataset = load_dataset("ShuzeChen/Agentic_Movielens")
Dataset Structure
The dataset is provided in the train split and includes all collected data.
Additional Information
For questions or issues, please refer to the repository… See the full description on the dataset page: https://huggingface.co/datasets/ShuzeChen/Agentic_Movielens.Creative-Professionals-Agentic-Tasks-1M
Creative Professionals Agentic Tasks (1M)
Abstract
A massive-scale, high-fidelity synthetic task dataset comprising 1,070,917 agentic command operations across 36 creative, technical, and engineering software environments. This dataset is engineered exclusively to stress-test, evaluate, and fine-tune multimodal AI agents designed for Agent Environment operation, complex software interaction, and multi-step reasoning within deep software infrastructures.… See the full description on the dataset page: https://huggingface.co/datasets/kryp1234/Creative-Professionals-Agentic-Tasks-1M.dpsk-v4-flash-data
dpsk-v4-flash-data
Training data built by the AgentPTB arm for cell dpsk-v4-flash — pi / DeepSeek v4-flash @ effort thinking.
This is the corpus the arm itself assembled during its 100-hour run: what it downloaded,
filtered, rewrote and mixed. It is the input side of the checkpoints published as
agentic-ptb/dpsk-v4-flash.h*, and the companion to the run record in agentic-ptb/dpsk-v4-flash-record.
field
value
plot cell
dpsk-v4-flash
driver
pi / DeepSeek v4-flash… See the full description on the dataset page: https://huggingface.co/datasets/agentic-ptb/dpsk-v4-flash-data.glm52-datagen-r11-100-agentic-function-calling-pivot-v2-tracesnvidia-Nemotron-Agentic-v1-arrowArrow compatible version of nvidia/Nemotron-Agentic-v1.
from datasets import load_dataset
ds = load_dataset("VolkerMauel/nvidia-Nemotron-Agentic-v1-arrow", split="tool_calling")
should work fine on this one.
250MB Shards.
===
Dataset Description:
The Nemotron-Agentic-Tool-Use-v1 dataset is designed to strengthen models’ capabilities as interactive, tool-using agents. It focuses on multi-turn conversations where language models decompose user goals, decide when to call tools, and… See the full description on the dataset page: https://huggingface.co/datasets/VolkerMauel/nvidia-Nemotron-Agentic-v1-arrow.agentic-prompt-injection-5k
Agentic Prompt-Injection 5K
5,000 examples of agentic and indirect prompt injection. A curated, paired benign/attack dataset for evaluating and training prompt-injection detectors and LLM guardrails. It focuses on the harder, agentic surface: tool/function abuse, RAG-document-embedded (indirect) injection, memory and trust-boundary poisoning, and approval/authority escalation.
Curated by Enes Deniz (ORCID 0009-0006-9491-3565), Co-Founder at AltaySec and OWASP AI Exchange / GenAI… See the full description on the dataset page: https://huggingface.co/datasets/3nesdeniz/agentic-prompt-injection-5k.Nemotron-AIQ-Agentic-Safety-Dataset-1.0
Nemotron-AIQ Agentic Safety Dataset
Dataset Summary
Nemotron-AIQ-Agentic-Safety-Dataset is a comprehensive dataset that captures a broad range of novel safety and security contextual risks that can emerge within agentic systems. It highlights the robustness of NVIDIA's open model, llama-3.3-nemotron-super-49b-v1, when deployed as a research assistant inside AIQ, demonstrating its ability to handle a diverse spectrum of agentic safety and security challenges. The… See the full description on the dataset page: https://huggingface.co/datasets/meet-the-1337/Nemotron-AIQ-Agentic-Safety-Dataset-1.0.Nemotron-AIQ-Agentic-Safety-Dataset-1.0
Nemotron-AIQ Agentic Safety Dataset
Dataset Summary
Nemotron-AIQ-Agentic-Safety-Dataset is a comprehensive dataset that captures a broad range of novel safety and security contextual risks that can emerge within agentic systems. It highlights the robustness of NVIDIA's open model, llama-3.3-nemotron-super-49b-v1, when deployed as a research assistant inside AIQ, demonstrating its ability to handle a diverse spectrum of agentic safety and security challenges. The dataset… See the full description on the dataset page: https://huggingface.co/datasets/yuqing1207/Nemotron-AIQ-Agentic-Safety-Dataset-1.0.agentic_review
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]
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Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]… See the full description on the dataset page: https://huggingface.co/datasets/Razvan27/agentic_review.DrugbankRawParquet