RESEARCH · RESEARCH · #2332
DataPraxis framework and DataPraxis‑5K dataset released; DataPraxis‑27B/35B‑A3B models introduced
Researchers introduce DataPraxis, a verified workspace‑evolution framework for synthesizing analytics tasks, and publish DataPraxis‑5K, a dataset of 5,000 verified analysis trajectories. They train models DataPraxis‑27B and DataPraxis‑35B‑A3B; DataPraxis‑27B scores 55.11 on DABStep and 51.9 on JobBench and the dataset is available at huggingface.co/datasets/stargazerhust/DataPraxis-5k (arXiv:2610.26924v1).
KEY POINTS
- Researchers introduce DataPraxis, a verified workspace‑evolution framework for synthesizing analytics tasks, and publish DataPraxis‑5K, a dataset of 5,000 verified analysis trajectories.
- They train models DataPraxis‑27B and DataPraxis‑35B‑A3B; DataPraxis‑27B scores 55.11 on DABStep and 51.9 on JobBench and the dataset is available at huggingface.co/datasets/stargazerhust/DataPraxis-5k (arXiv:2610.26924v1).
- Provides a verified, scalable dataset and trained models aimed at improving training and evaluation of analytics-capable agents, with results comparable to current frontier models.
WHY IT MATTERS
Provides a verified, scalable dataset and trained models aimed at improving training and evaluation of analytics-capable agents, with results comparable to current frontier models.