datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
LoopsBench
LoopsBench
This dataset repository hosts published LoopsBench task bundles. A LoopsBench task is a self-contained evaluation package for long-horizon terminal coding: it includes an agent-visible workspace snapshot, unit-level requirements, dependency graphs, Docker execution metadata, public verifier files, and reference gold patches used by maintainers and Oracle-style validation.
The files in this dataset are release artifacts mirrored from the latest LoopsBench GitHub… See the full description on the dataset page: https://huggingface.co/datasets/LoopsBench/LoopsBench.loopshapebehavioral-loops
Behavioral Loops
1,140 behavioral patterns across 279 categories, each structured as given/when/then/result logic with taxonomy classification, veracity scores, and intervention strategies.
Quick Start
from datasets import load_dataset
ds = load_dataset("buley/behavioral-loops")
print(ds["train"][0])
Structure
Field
Description
given
Initial condition or context
when
Trigger event
then
Resulting behavior
result
Long-term outcome
origin… See the full description on the dataset page: https://huggingface.co/datasets/buley/behavioral-loops.swe_gym_491i_no_loopshumanoid-cognitive-interaction-loops
Humanoid Cognitive Interaction Loops
Closed-loop cognitive interaction cycles for humanoid agents.
loopseval-laion_loopshape-30-8B_DCAgent2_swebench-verified-random-100-folders-traceseval-laion_loopshape-30-8B_DCAgent2_terminal_bench_2-traceseval-laion_loopshape-30-8B_DCAgent_dev_set_v2-traces