SER
Datasets
All datasets matching “SER”fish_datasets_real_electrodyn_expertsys_twodim_fourierGroundCUA
GroundCUA: Grounding Computer Use Agents on Human Demonstrations
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📑 Paper |
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GroundCUA Dataset
GroundCUA is a large and diverse dataset of real UI screenshots paired with structured annotations for building multimodal computer use agents. It covers 87 software platforms across productivity tools, browsers, creative tools, communication apps, development environments, and system utilities. GroundCUA is designed for research on GUI… See the full description on the dataset page: https://huggingface.co/datasets/ServiceNow/GroundCUA.server
2026-05-20 Non-distance Refresh Bundle
This bundle contains refreshed paper-facing outputs copied from the server-side
TabQueryBench/code_snapshot/Evaluation/... tree after the v2 refresh runs.
Included:
subgroup_breakdown/final
conditional_breakdown/final
conditional_locality_support_final
missingness_breakdown/final
missingness_regime_diagnostic
tail_breakdown/final
tail_support_diagnostics_final
tail_threshold_final
compare_updated_figures.pdf
compare_updated_figures.tex… See the full description on the dataset page: https://huggingface.co/datasets/TabQueryBench2026/server.SERWorkArena-Instances
ServiceNow Instances for WorkArena
This repository provides access to the ServiceNow instances used for the WorkArena benchmark.
Access is restricted.Please complete the form above to request access.
Usage Scope
Instances are provided exclusively for benchmarking, evaluation, and research. They must not be used for training, production workloads, or storing sensitive, proprietary, or personally identifiable information.
Usage Monitoring
Use of the… See the full description on the dataset page: https://huggingface.co/datasets/ServiceNow/WorkArena-Instances.Time-Series-Library
Time-Series-Library (TSLib)
TSLib is an open-source library for deep learning researchers, especially for deep time series analysis.
We provide a neat code base to evaluate advanced deep time series models or develop your model, which covers five mainstream tasks: long- and short-term forecasting, imputation, anomaly detection, and classification.
This benchmark collection is designed to evaluate and develop advanced deep time-series models. For an in-depth exploration of current… See the full description on the dataset page: https://huggingface.co/datasets/thuml/Time-Series-Library.