datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
playcat-cat-behavior-new-data-set
PlayCat Cat Behavioral Enrichment Dataset
The definitive multilingual research dataset on cat behavioral enrichment by PlayCat Research
Dataset Summary
The PlayCat Cat Behavioral Enrichment Dataset is the largest open, bilingual (Korean-English) collection dedicated to feline environmental enrichment research. It contains 12,262 deduplicated entries spanning peer-reviewed academic papers, patents, veterinary Q&A, and community knowledge on cat behavior enrichment… See the full description on the dataset page: https://huggingface.co/datasets/playcat/playcat-cat-behavior-new-data-set.behavioral-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.BEHAVIOR-1K_easi
BEHAVIOR-1K EASI Dataset
Episode definitions and all required assets for the BEHAVIOR-1K 2025 Challenge,
packaged for use with the EASI evaluation framework.
Splits
Split
Episodes
Description
b50_test_public
1,000
50 tasks × 20 public test instances
b50_train
~10,000
50 tasks × ~200 training instances (no test overlap)
The B10 sub-split (first 10 tasks × 20 instances = 200 episodes) is derived from
b50_test_public via a max_task_idx: 9 filter in… See the full description on the dataset page: https://huggingface.co/datasets/oscarqjh/BEHAVIOR-1K_easi.r16-behavioral-metamerism-pilot
R16 Behavioral Metamerism Pilot
Brand Function x synthetic cohort interaction experiment from the Spectral Brand Theory research program.
Dataset Summary
675 API calls testing whether Brand Function specification differentially affects dimensional collapse across synthetic observer cohorts. Design: 5 cohorts x 5 brands x 3 conditions (no BF, structural BF, enriched BF) x 3 models x 3 repetitions.
Companion paper: AI-Native Brand Identity: From Visual Recognition… See the full description on the dataset page: https://huggingface.co/datasets/spectralbranding/r16-behavioral-metamerism-pilot.humanoid-behavior-adaptation-dataset
Humanoid Behavior Adaptation Dataset
Dataset for modeling behavioral adjustments
in humanoid agents over time.
Description
Tracks strategy updates and performance changes
after multiple learning cycles.
File
behavior_adaptation_dataset.json
License
MIT
cog_behaviors