nexus
Datasets
All datasets matching “nexus”NexusRaven_API_evaluation
NexusRaven API Evaluation dataset
Please see blog post or NexusRaven Github repo for more information.
License
The evaluation data in this repository consists primarily of our own curated evaluation data that only uses open source commercializable models. However, we include general domain data from the ToolLLM and ToolAlpaca papers. Since the data in the ToolLLM and ToolAlpaca works use OpenAI's GPT models for the generated content, the data is not commercially… See the full description on the dataset page: https://huggingface.co/datasets/Nexusflow/NexusRaven_API_evaluation.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_Ulawengdetails_Nexusflow__Athene-70B
Dataset Card for Evaluation run of Nexusflow/Athene-70B
Dataset automatically created during the evaluation run of model Nexusflow/Athene-70B.
The dataset is composed of 136 configuration, each one coresponding 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 additional… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_Nexusflow__Athene-70B.nexus-jobsNexus-Gen-Training-Dataset
Nexus-Gen Training Dataset
Intruduction
This dataset contains the complete training data for Nexus-Gen, covering tasks including image understanding, generation, and editing. For details about training Nexus-Gen, please refer to the tech report and github repo.
All annotations are unified into the standard messages format, stored in JSONL files. A single annotation example includes:
images: List of relative image paths, e.g. ["t2i/Flux/000055/000055_495587.png"]… See the full description on the dataset page: https://huggingface.co/datasets/pgarcia7871/Nexus-Gen-Training-Dataset.