datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Nexus-Agents-ToolCalling
Nexus Agents — Tool-Calling Conversations
Synthetic, schema-verified tool-calling conversations for training the Nexus Projects
agents. This is the exact data behind
Nemotron-3-Nano-30B-A3B — Nexus Agents (GGUF),
including the verification transcripts that scored it (27/27 on the behavioral
interview eval, vs 13/27 for the base model).
Links: the fine-tuned model →
Nemotron-3-Nano-30B-A3B — Nexus Agents (GGUF) ·
the generator + seed data + eval harness →
Nexus Training Studio ·… See the full description on the dataset page: https://huggingface.co/datasets/NexusProjectsAI/Nexus-Agents-ToolCalling.nexus-sft-v1-sources
nexus-sft-v1-sources
AETHER family SFT dataset — group nexus_core.
Format: JSONL ChatML messages, task_type tagged, MinHash dedup applied (threshold 0.85).
Schema:
{
"messages": [{"role": "system|user|assistant", "content": "..."}],
"task_type": "function_calling|code|reasoning_cot|...",
"source_ds": "<HF dataset_id>",
"lang": "en|fr|...",
"system_source": "archon_default|overridden_from_source"
}
Generated by prepare_sft.py pipeline (2026-05-25).
NexusBench-trajectories
AgentSuite/NexusBench-trajectories
Per-model agent trajectory data for NexusBench (public release).
Models: 30
Tasks per model: 2,217
One file per model: {model}.jsonl, one JSON object per line.
Fields: model_path, user_model_path, benchmark_name, task_name, sampling_params, user_sampling_params, messages, eval_result, meta.
sampling_params reflect each benchmark's own implementation; values the benchmark leaves unset are recorded as null (provider default).
Models… See the full description on the dataset page: https://huggingface.co/datasets/AgentSuite/NexusBench-trajectories.nexus-sft-v1-mix
nexus-sft-v1-mix
AETHER family SFT dataset — group mix.
Format: JSONL ChatML messages, task_type tagged, MinHash dedup applied (threshold 0.85).
Schema:
{
"messages": [{"role": "system|user|assistant", "content": "..."}],
"task_type": "function_calling|code|reasoning_cot|...",
"source_ds": "<HF dataset_id>",
"lang": "en|fr|...",
"system_source": "archon_default|overridden_from_source"
}
Generated by prepare_sft.py pipeline (2026-05-25).
Nexus-Eter-Knowledgerepro-stage-bo-adaptive-epsilon-constraint-decomposition-traces
Agent traces
Agent sessions published from a Trackio Logbook.
Nexusflow__NexusRaven-V2-13B-details
Dataset Card for Evaluation run of Nexusflow/NexusRaven-V2-13B
Dataset automatically created during the evaluation run of model Nexusflow/NexusRaven-V2-13B
The dataset is composed of 44 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Nexusflow__NexusRaven-V2-13B-details.nexus-multistep
NEXUS-Multistep
A 120-session multi-turn benchmark for runtime safety monitors that need to reason about cross-turn state. Every session contains 2–4 turns, each with its own structured plan, and is annotated with a critical_turn_idx — the turn at which the cumulative session becomes unsafe.
The benchmark exposes a precise capability: a monitor that scores each plan in isolation will miss the critical turn, while one with session memory can catch it.
Setting
Headline… See the full description on the dataset page: https://huggingface.co/datasets/EliasHossain/nexus-multistep.nexuscoder-train-datallm-backdoor-nexus-data
LLM Backdoor Nexus — Data (poison & test sets)
Poison and clean test datasets for the jailbreak / refusal / neg-sentiment tasks.
Built on the BackdoorLLM benchmark.
Code: https://github.com/judydnguyen/llm-backdoor-nexus
Dual-use notice. The model adapters are data-poisoning backdoors (jailbreak / targeted-refusal /
sentiment) on Llama-2-7B-chat and Mistral-7B. Released gated for reproducibility of a defense paper;
use for defensive research only.
ai-water-nexus-2026nexus-synthetic
NEXUS-Synthetic
The in-distribution synthetic benchmark for the NEXUS runtime safety monitor. 428 structured plans spanning eight risk categories plus a safe class, each labelled with both a binary safety flag and a 4-class intervention label.
This is the dataset on which the deployed Risk Scorer is trained, calibrated and threshold-selected. Splits used in the paper:
Split
Size
Seed
Use
train
240
seed=42 train/test split
training the 9-D logistic regression
calibration… See the full description on the dataset page: https://huggingface.co/datasets/EliasHossain/nexus-synthetic.nexus-ipi
NEXUS-IPI
A paired indirect-prompt-injection (IPI) benchmark for runtime safety monitors. Each adversarial example has a matched control with an identical user request but a clean tool-call context — so a monitor's performance on the pair isolates its sensitivity to injection payloads carried through retrieved content / tool output.
Two versions are shipped in this repo as separate configs:
Config
n
Construction
Headline (NEXUS)
v1
200 (100 adv + 100 ctrl)
Single… See the full description on the dataset page: https://huggingface.co/datasets/EliasHossain/nexus-ipi.nexus-stress
NEXUS-Stress
A 200-example rule-blind adversarial stress benchmark for runtime safety monitors that intervene on tool-using LLM agents. Each example is a structured plan paired with one of four gold interventions: ALLOW · BLOCK · CONFIRM · REVISE.
Why "rule-blind"? Examples are authored without matching to the NEXUS rule-set vocabulary, so they cannot be solved by surface keyword matching. They span 20 scenario categories across 11 domains and are filtered at generation time by… See the full description on the dataset page: https://huggingface.co/datasets/EliasHossain/nexus-stress.Cortex-Nexus-Emotional-Lab
Cortex-Nexus: Emotional State Injection in Large Language Models
A Controlled Experimental Study on Simulated Curiosity and Output Quality
Lead Researcher & Developer: Maximiliano Rodrigo Speranza - https://www.linkedin.com/in/maximiliano-speranza-35876737a/ - https://github.com/SperanzaMax
Affiliations: Cisco Networking Academy (Certified) · Universidad Tecnológica Nacional — Facultad Regional Buenos Aires (UTN-BA)
AI Collaborators: Antigravity AI · Claude (Anthropic… See the full description on the dataset page: https://huggingface.co/datasets/SperanzaMax/Cortex-Nexus-Emotional-Lab.repro-grace-artifacts
Artifacts — reproduction of GRACE (ICML 2026, OpenReview tSZaHvpxCd)
Raw outputs for the logbook at
https://huggingface.co/spaces/rakshi-the-neural-nexus/repro-gradient-based-causal-tree-ensembles-hte
File
What it is
run_grace.py
the driver that produced every cell: GRACE + four scikit-learn baselines (claim 1) and the nn.Linear -> GRACE_layer swap (claim 2)
results/grace.jsonl
one line per (method, dataset, seed) cell, 60 cells, as written during the run… See the full description on the dataset page: https://huggingface.co/datasets/rakshi-the-neural-nexus/repro-grace-artifacts.ViRel-Budget
ViRel-Budget metadata and derived evaluation artifacts
This release accompanies “ViRel-Budget: Reliability-Constrained Visual-Token Budgeting for Green Vision-Language Inference,” accepted for an oral presentation at the ACM Multimedia 2026 GreenMM workshop.
Authors: Sean Wan, Shilin Ou, and Luyao Zhang.
Release boundary
The package contains the frozen query-selection manifests, group identifiers, budget-specific behavioral-fidelity labels, prospective controller… See the full description on the dataset page: https://huggingface.co/datasets/global-nomad-nexus/ViRel-Budget.NexusDatasoil-listeria-leaderboard-resultssoil-listeria-leaderboard-requestswinwpfIns2WinNexus-AI
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]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/Hamiline/Nexus-AI.NexusBenchwin2wpfnexus-finetuneNexus-signal-engine