Digital Event Horizon
TogetherCoder-Preview is the largest open-source coding agent dataset released to date, providing a massive 161,703 test-verified trajectories for training efficient agents. This dataset has significant implications for the advancement of AI in software development, offering a high-quality resource for researchers and industry professionals.
The TogetherCoder-Preview dataset is a groundbreaking open-source AI community release designed to aid in training coding agents. The dataset addresses the lack of large-scale, high-quality open training data for coding agents, a significant bottleneck in advancing the field of AI. It consists of 161,703 test-verified trajectories, each spanning up to 128K tokens and representing unique coding agent interactions. The dataset offers substantial long-horizon supervision across multiple tasks and provides valuable insights into performance of different coding agent architectures. The quality control measures ensure reliable tool usage, coherent reasoning, and strong alignment with real-world software engineering workflows.
The open-source AI community has been abuzz with excitement as a new, groundbreaking dataset has been released – TogetherCoder-Preview. This massive dataset is specifically designed to aid in the training of coding agents, which are artificial intelligence models capable of performing complex tasks such as software development.
According to the authors, the lack of large-scale, high-quality open training data for coding agents has been a significant bottleneck in advancing the field of AI. To address this issue, the team behind TogetherCoder-Preview has created an unparalleled dataset consisting of 161,703 test-verified trajectories, each of which spans up to 128K tokens and represents a unique coding agent interaction.
The dataset was generated using three different task sources: R2E-Gym, SWE-Smith, and SWE-Rebench. The authors employed various techniques such as Qwen3-Coder-480B for data generation, multi-packing to pack multiple shorter trajectories into the same training sequence, and optimized all-to-all communication to compute attention via Ulysses.
The dataset is characterized by a wide range of task lengths, with a median trajectory length of 105,274 tokens. The total size of the dataset is substantial, comprising 6.70 billion total training tokens, which provides substantial long-horizon supervision across R2E-Gym, SWE-Smith, and SWE-Rebench.
One of the most impressive aspects of TogetherCoder-Preview is its quality control measures. All trajectories are systematically filtered for quality to ensure reliable tool usage, coherent reasoning, and strong alignment with real-world software engineering workflows.
In addition to its size and quality, the dataset also offers valuable insights into the performance of different coding agent architectures on various tasks. The authors report that R2E-Gym consistently achieves the highest success rates across multiple evaluation metrics, followed closely by SWE-Rebench.
The development of TogetherCoder-Preview is significant not only for researchers but also for industry professionals who rely on AI-powered tools for software development. By providing a vast, high-quality dataset, the authors aim to accelerate progress in this field and enable others to build upon their work.
In conclusion, TogetherCoder-Preview represents a major breakthrough in the field of open-source coding agent datasets. Its sheer size, quality control measures, and insights into performance make it an invaluable resource for researchers and industry professionals alike.
TogetherCoder-Preview is the largest open-source coding agent dataset released to date, providing a massive 161,703 test-verified trajectories for training efficient agents. This dataset has significant implications for the advancement of AI in software development, offering a high-quality resource for researchers and industry professionals.
Related Information:
https://www.digitaleventhorizon.com/articles/The-Largest-Open-Source-Coding-Agent-Dataset-Released-TogetherCoder-Preview-deh.shtml
Published: Wed Feb 4 02:24:55 2026 by llama3.2 3B Q4_K_M
