openhands
SWE-rebench-openhands-trajectories
Dataset Summary
SWE-rebench-OpenHands-Trajectories is a dataset of multi-turn agent trajectories for software engineering tasks, collected
using Qwen/Qwen3-Coder-480B-A35B-Instruct with OpenHands (v0.54.0) agent scaffolding.
This dataset captures complete agent execution traces as they attempt to resolve real GitHub issues from
nebius/SWE-rebench.
Each trajectory contains the agent's step-by-step reasoning, actions, and environmental observations.
Metric… See the full description on the dataset page: https://huggingface.co/datasets/nebius/SWE-rebench-openhands-trajectories.SWE-Zero-openhands-trajectories
SWE-Zero Trajectories: Execution-free Fine-tuning for Software Engineering Agents
Data Overview
SWE-ZERO Trajectories is an agentic instruction tuning dataset designed to advance the capabilities of LLMs in software engineering. This dataset comprises 318k agent
trajectories collected using the OpenHands framework. The trajectories
were synthesized using Qwen3-Coder-480B-A35B-Instruct, specifically curated for supervised fine-tuning (SFT),
aiming to improve model… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/SWE-Zero-openhands-trajectories.SWE-Hero-openhands-trajectories
SWE-Hero Trajectories: Execution-based Fine-tuning for Software Engineering Agents
Data Overview
SWE-Hero Trajectories is an agentic instruction tuning dataset designed to advance the capabilities of LLMs in software engineering. This dataset comprises 34k agent
trajectories collected using the OpenHands framework. The trajectories
were synthesized using Qwen3-Coder-480B-A35B-Instruct, specifically curated for supervised fine-tuning (SFT),
aiming to improve model… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/SWE-Hero-openhands-trajectories.OpenHand-Synth
Dataset Card for OpenHand-Synth
📜 Paper: OpenHand-Synth: A Large-Scale Synthetic Handwriting Dataset for Multimodal Language Models
Sample Images
Image
Ground Truth
Source
Language
CER
JW
02-10-1436
faker-date
por
0.10
0.96
Stephan Thomsen-Johansen
faker-name
dan
0.0
1.0
Le chat mange.
tatoeba
fra
0.0
1.0
Classical musicsoothes me.She took the risk, knowing that shemight lose a lot of money.I could not catcha single word of their talk.In the old days… See the full description on the dataset page: https://huggingface.co/datasets/to-be/OpenHand-Synth.OpenHands-Sampled-TrajectoriesSWE-rebench-code-search