dac
Datasets
All datasets matching “dac”da-code-evaluation-resultsfunes-nvidia-Open-SWE-Traces
Funes recall store — NVIDIA Open-SWE-Traces (resolved)
A funes recall store built by indexing the
resolved==1 trajectories of
nvidia/Open-SWE-Traces
(65244 sessions, across both harnesses — SWE-agent and OpenHands — and both models,
Minimax-M2.5 and Qwen3.5-122B).
What this is
This is not a raw trace dataset — it is a pre-built funes index: the source
trajectories chunked into content blocks and embedded, stored as a
Lance table (chunks.lance).
Source… See the full description on the dataset page: https://huggingface.co/datasets/dacorvo/funes-nvidia-Open-SWE-Traces.dacomp-da-zh-eval
DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle
✍️ Citation
If you find our work helpful, please cite as
@misc{lei2025dacompbenchmarkingdataagents,
title={DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle},
author={Fangyu Lei and Jinxiang Meng and Yiming Huang and Junjie Zhao and Yitong Zhang and Jianwen Luo and Xin Zou and Ruiyi Yang and Wenbo Shi and Yan Gao and Shizhu He and Zuo Wang and Qian Liu and… See the full description on the dataset page: https://huggingface.co/datasets/DAComp/dacomp-da-zh-eval.funes-handoff-recall-benchmark
handover-vs-recall
A long investigation bloats an agent session until each new turn costs more to carry the context than to
do the work. Switching to a fresh session avoids that — but the findings have to travel somehow, and the
ways of moving them differ in cost. This benchmark measures those ways, as cost per successful task,
on tasks that genuinely require the prior investigation:
arm
channel
A branch-only
switch, carry nothing — the fresh session re-derives the… See the full description on the dataset page: https://huggingface.co/datasets/dacorvo/funes-handoff-recall-benchmark.modified_libero_rlds
Modified LIBERO RLDS Datasets
This repository contains the four modified LIBERO datasets
used in the OpenVLA fine-tuning experiments, stored in RLDS data format. See Appendix E in the
OpenVLA paper for details about the fine-tuning experiments and
specific dataset modifications, and see the OpenVLA GitHub README
for instructions on how to run OpenVLA in LIBERO environments.
Citation
BibTeX:
@article{kim24openvla,
title={OpenVLA: An Open-Source… See the full description on the dataset page: https://huggingface.co/datasets/dachengzisks/modified_libero_rlds.dacomp-da-eval
DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle
✍️ Citation
If you find our work helpful, please cite as
@misc{lei2025dacompbenchmarkingdataagents,
title={DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle},
author={Fangyu Lei and Jinxiang Meng and Yiming Huang and Junjie Zhao and Yitong Zhang and Jianwen Luo and Xin Zou and Ruiyi Yang and Wenbo Shi and Yan Gao and Shizhu He and Zuo Wang and Qian Liu and… See the full description on the dataset page: https://huggingface.co/datasets/DAComp/dacomp-da-eval.