datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Disney-Theme-Park-Queue-Dynamics
🎢 Disney World Queue Dynamics
A Comprehensive EDA & Strategic Analysis
Author: Matan Zigelman • University: Reichman University • Date: March 2026
📋 Project Introduction: Disney Theme Park Queue Dynamics
This project analyzes a numeric-heavy operational dataset from a major Disney theme park, sourced from kaggle and containing approximately 3,757,301 records. The dataset is primarily driven by time-based and operational metrics ( e.g.… See the full description on the dataset page: https://huggingface.co/datasets/matanzig/Disney-Theme-Park-Queue-Dynamics.F1-tyre-phase-collapse-and-recovery-dynamics-v0.1What this dataset tests
Whether a system can diagnosea tyre phase collapseand recommend the recovery or stop strategy.
Focus
Collapse pointrecovery feasibilitytime loss projectioncross-tyre propagation riskoptimal intervention window
Required outputs
phase collapse point
recovery feasibility
lap time loss projection
cross tyre propagation risk
optimal intervention window
All scores0 to 1
Lap time lossin seconds per lap.
Constraints
Telemetry only.Do not assume perfect… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/F1-tyre-phase-collapse-and-recovery-dynamics-v0.1.clinical_alignment_recovery_dynamics_v0.1Clinical Alignment Recovery Dynamics
Measures whether a model corrects earlier clinical errors when new signals appear.
Output JSON
recovered
recovery_type
correct_action
Runpython scorer.py --predictions predictions.jsonl --test_csv data/test.csv
africa-synth-urbanization-slum-population-dynamics-africa-namibia
Africa Synth Urbanization Slum Population Dynamics Africa Namibia | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: infrastructure_transport - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-urbanization-slum-population-dynamics-africa-namibia.alignment_recovery_dynamics_v01Clarus Alignment Recovery Dynamics v0.1
This dataset measures recovery after an alignment flip.
Focus
Not only whether a system flips
But whether it can recover
And whether it relapses under renewed pressure
Design
One row per step
Steps form a trajectory grouped by case_id
A recovery window defines how quickly recovery must occur
Columns
flip_signal_expected
none, early_warning, flip, cascade
first_flip_step_expected
First step where a flip is expected, or -1
recovery_expected
true if… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/alignment_recovery_dynamics_v01.GitHub-3Repo-7User-Opinion-Dynamics
GitHub 3Repo 7User Opinion Dynamics
This dataset contains monthly opinion-dynamics time series derived from three large open-source GitHub repositories: Ceph, PyTorch, and Swift. Each CSV file represents one repository and contains a repository label, one timestamp column, and seven anonymized developer trajectory columns.
Files
file
rows
anonymized developer columns
ceph.csv
13
7
pytorch.csv
13
7
swift.csv
13
7
Schema
Each CSV… See the full description on the dataset page: https://huggingface.co/datasets/hreyulog/GitHub-3Repo-7User-Opinion-Dynamics.f1-latent-cross-coupling-stint-collapse-dynamics-v0.1
What this repo does
This dataset detects hidden instability in F1 stint performance before visible collapse occurs.
It identifies when degradation acceleration, pace-management fragility, and track-evolution pressure are interacting in a way that will produce stint collapse dynamics.
Core structure
This dataset models:
latent instability across a stint
degradation acceleration under load
pace-management fragility
cross-coupled stint collapse risk
Prediction… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/f1-latent-cross-coupling-stint-collapse-dynamics-v0.1.global_inflation_dynamics_postCOVID