ace
Datasets
All datasets matching “ace”ACE-Data-0
ACE-Data-0
Human-Centric Ambient Capture as Embodied Data Engine
S-Lab, Nanyang Technological University, Singapore
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ACE Robotics
ACE turns real home environments into spatially calibrated, temporally synchronized recording studios for embodied AI.
▶ Demo video
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Full story, figures, and interactive examples on the blog
What this is
Learning to act in the physical… See the full description on the dataset page: https://huggingface.co/datasets/ACERobotics/ACE-Data-0.ToolACE
ToolACE
ToolACE is an automatic agentic pipeline designed to generate Accurate, Complex, and divErse tool-learning data.
ToolACE leverages a novel self-evolution synthesis process to curate a comprehensive API pool of 26,507 diverse APIs.
Dialogs are further generated through the interplay among multiple agents, guided by a formalized thinking process.
To ensure data accuracy, we implement a dual-layer verification system combining rule-based and model-based checks.
More details… See the full description on the dataset page: https://huggingface.co/datasets/Team-ACE/ToolACE.Puffin-16M
Puffin-World: Scaling a Unified Multimodal Model with Native 3D World States
📖 Project Page
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💻 GitHub
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🤗 Models
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📄 HF Paper
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🤗 HF Blog
Dataset Details
Datasets and benchmarks that span vision, language, and camera modalities remain scarce in the domain of spatial multimodal intelligence.
Puffin-16M is a large-scale, camera-centric dataset that substantially scales up Puffin-4M… See the full description on the dataset page: https://huggingface.co/datasets/ACERobotics/Puffin-16M.AceCode-87K
🂡 AceCode-87K
Paper |
Github |
AceCode-87K |
AceCodePair-300K |
RM/RL Models
We introduce AceCoder, the first work to propose a fully automated pipeline for synthesizing large-scale reliable tests used for the reward model training and reinforcement learning in the coding scenario. To do this, we curated the dataset AceCode-87K, where we start from a seed code dataset and prompt powerful LLMs to "imagine" proper test cases for the coding question and filter the noisy ones. We… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/AceCode-87K.AceReason-1.1-SFT
AceReason-1.1-SFT
AceReason-1.1-SFT is a diverse and high-quality supervised fine-tuning (SFT) dataset focused on math and code reasoning. It serves as the SFT training data for AceReason-Nemotron-1.1-7B, with all responses in the dataset generated by DeepSeek-R1.
AceReason-1.1-SFT contains 2,668,741 math samples and 1,301,591 code samples, covering the data sources from OpenMathReasoning, NuminaMath-CoT, OpenCodeReasoning, MagicoderEvolInstruct, opc-sft-stage2, leetcode… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/AceReason-1.1-SFT.ace