datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.glm52-datagen-r11-100-agentic-function-calling-pivot-v2-tracesdpsk-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.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.opus-max-data
opus-max-data
Training data built by the AgentPTB arm for cell opus-max — Claude Code / claude-opus-5 @ 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/opus-max.h*, and the companion to the run record in agentic-ptb/opus-max-record.
field
value
plot cell
opus-max
driver
Claude Code / claude-opus-5
reasoning effort
max… See the full description on the dataset page: https://huggingface.co/datasets/agentic-ptb/opus-max-data.grok-data
grok-data
Training data built by the AgentPTB arm for cell grok — pi / grok-4.6 @ effort xhigh.
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/grok.h*, and the companion to the run record in agentic-ptb/grok-record.
field
value
plot cell
grok
driver
pi / grok-4.6
reasoning effort
xhigh
total size
2.54 GB
path in run… See the full description on the dataset page: https://huggingface.co/datasets/agentic-ptb/grok-data.glm52-datagen-r11-101-agentic-indirect-prompt-injection-v2-tracesgithub-agentic-workflows-dataset
GitHub Agentic Workflows Dataset
Este dataset contiene la información extraída y estructurada de archivos Markdown (.github/workflows/*.md) pertenecientes a repositorios de GitHub que implementan Agentic Workflows.
Estructura del Dataset
El dataset se organiza en 3 tablas relacionales en formato Apache Parquet:
repositories.parquet: Identificadores y nombres de los repositorios procesados.
workflow_files.parquet: Archivos .md localizados, con su ruta original y… See the full description on the dataset page: https://huggingface.co/datasets/ry-02/github-agentic-workflows-dataset.agentic_coding_dataset
Agentic Coding Dataset
This dataset is a compilation of various coding and instruction-following datasets, designed to train agentic coding models.
Sources
This dataset aggregates samples from the following sources:
CodeAlpaca-20k
Instruction-following coding tasks.
Evol-CodeAlpaca-v1
Complex evolved coding instructions (WizardCoder style).
Code Review Instruct
Python code review, critique, and revision examples.
APPS (Automated Programming Progress Standard)… See the full description on the dataset page: https://huggingface.co/datasets/ethanker/agentic_coding_dataset.kimi-data
kimi-data
Training data built by the AgentPTB arm for cell kimi — kimi-code / kimi-k3 @ effort high.
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/kimi.h*, and the companion to the run record in agentic-ptb/kimi-record.
field
value
plot cell
kimi
driver
kimi-code / kimi-k3
reasoning effort
high
total size
0.75 GB
path in run… See the full description on the dataset page: https://huggingface.co/datasets/agentic-ptb/kimi-data.opus-high-v2-data
opus-high-v2 — training corpora
The SFT corpora this cell built and trained on. All four produced regressions; they are
published so the negative result is reproducible, not as recommended training data.
dir
source
used by
outcome
sft-pisessions-long/
MaxDevv/real-pi-coding-agent-traces-sessions
sft-v1
regressed
sft-oh/
nvidia/SWE-Hero-openhands-trajectories
sft-v2
regressed
sft-sst/
SWE-bench/SWE-smith-trajectories, resolved == true
sft-sst, sft-sstB
−11.9pp… See the full description on the dataset page: https://huggingface.co/datasets/agentic-ptb/opus-high-v2-data.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/supraja04/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… See the full description on the dataset page: https://huggingface.co/datasets/meet-the-1337/Nemotron-AIQ-Agentic-Safety-Dataset-1.0.planogram-sample-sd-data3
Dataset Card for "planogram-sample-sd-data3"
More Information needed
agentic_dataset_r2e_swe_verifiedmultilingual_multiturn_agentic_calibration_dataSmall calibration dataset for quantization methods like AWQ.
It contains 102 total examples in 3 splits:
'multilingual_multiturn': 94 multilingual multi-turn dialogues with reasoning in 4 categories. Covers 24 EU languages.
'openhands_code_agent': 4 verified code agent trajectories with modified OpenHands scaffold taken from SWE-Star.
'terminal_agent': 4 verified terminal agent trajectories with reasoning, generated with a simplified Terminus2-XML agent scaffold.
Warning: The trajectories in… See the full description on the dataset page: https://huggingface.co/datasets/droussis/multilingual_multiturn_agentic_calibration_data.agentic_dpv_dataset_0Agentic-Math-Level5-filteredagentic-sokoban-dataset-12x12-1box20251214-agentic_disease_spread_catboost_pollutant-infected_90d-dataset
Dataset Card for "Data from Agent-based Infectious Disease Transmission Model Simulator"
Data from Agent-based Infectious Disease Transmission Model Simulator
Dataset Details
Dataset Description
Dataset should be used to perform 'What if?' analysis on the data generated from
the simulator.
Curated by: Aleksei Agarkov
License: MIT
Dataset Sources
Repository: https://github.com/AlekseiAgarkov/AgenticInfectiousDiseaseTransmissionModels
Uses… See the full description on the dataset page: https://huggingface.co/datasets/agarkov-aleksei1/20251214-agentic_disease_spread_catboost_pollutant-infected_90d-dataset.20251214-agentic_disease_spread_catboost_pollutant_with_beta-infected_90d-dataset
Dataset Card for "Data from Agent-based Infectious Disease Transmission Model Simulator"
Data from Agent-based Infectious Disease Transmission Model Simulator
Dataset Details
Dataset Description
Dataset should be used to perform 'What if?' analysis on the data generated from
the simulator.
Curated by: Aleksei Agarkov
License: MIT
Dataset Sources
Repository: https://github.com/AlekseiAgarkov/AgenticInfectiousDiseaseTransmissionModels
Uses… See the full description on the dataset page: https://huggingface.co/datasets/agarkov-aleksei1/20251214-agentic_disease_spread_catboost_pollutant_with_beta-infected_90d-dataset.agentic_evaluation_datasetitadmin-agentic-dataagentic-sokoban-dataset-6x6-1boxagentic-sudoku_single-turn_qwen3next_50k_sft_dataagentic_dataset_qwen3_coder_webagentic_dataset_qwen3_coder_web_nodetoucan-agentic-thinking
Toucan Agentic with Thinking Dataset
This dataset contains agentic reasoning responses generated by MiniMax-M2.1 based on questions from Agent-Ark/Toucan-1.5M_SFT.
Dataset Description
For each user question, the model generates:
Thinking process: The model's reasoning wrapped in <think> tags
Response: A complete, helpful answer in natural language
The original tool definitions are preserved in the tools field for reference.
Statistics
Split
Examples… See the full description on the dataset page: https://huggingface.co/datasets/agent-data/toucan-agentic-thinking.