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.protein_dynamic_properties
Protein Sequences and Dynamic Properties for Training SeqDance and ESMDance
This dataset contains protein sequences, dynamic properties, and feature weights used for training SeqDance and ESMDance, two protein language models designed to learn protein dynamic properties.
training_test_data_sequence.csv
This file contains 64,403 protein sequences with associated metadata for training and testing (excluding dynamicPDB).
Columns:
name – Unique identifier for each… See the full description on the dataset page: https://huggingface.co/datasets/ChaoHou/protein_dynamic_properties.Dynamically-Generated-Hate-Speech-Dataset
Dataset Card for dynamically generated hate speech dataset
Dataset Summary
This is a copy of the Dynamically-Generated-Hate-Speech-Dataset, presented in this paper by
Bertie Vidgen, Tristan Thrush, Zeerak Waseem and Douwe Kiela
Original README from GitHub
Dynamically-Generated-Hate-Speech-Dataset
ReadMe for v0.2 of the Dynamically Generated Hate Speech Dataset from Vidgen et al. (2021). If you use the dataset, please cite our paper in the… See the full description on the dataset page: https://huggingface.co/datasets/LennardZuendorf/Dynamically-Generated-Hate-Speech-Dataset.dynamicqa
DYNAMICQA
This is a repository for the paper DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models accepted at Findings of EMNLP 2024.
Our paper investigates the Language Model's behaviour when the conflicting knowledge exist within the LM's parameters. We present a novel dataset containing inherently conflicting data, DYNAMICQA. Our dataset consists of three partitions, Static, Disputable 🤷♀️, and Temporal 🕰️.
We also evaluate several measures on their ability… See the full description on the dataset page: https://huggingface.co/datasets/copenlu/dynamicqa.dynamicPDBdynamic_topic_modeling_arxiv_abstractsDynamic-Topic-RedPajama-Data-1T-100k-SubSample-max-1k-tokens
Dynamic Topic Modeling Dataset: RedPajama-1T SubSample (100k samples, 1k tokens)
📝Check out the Blog Post
This dataset represents a curated subset of the RedPajama-1T Sample dataset, specifically processed for dynamic topic modeling applications. It contains 100,000
samples from the original dataset, with each document limited to the first 1,024 tokens for consistent processing.
Dataset Overview
Name:… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/Dynamic-Topic-RedPajama-Data-1T-100k-SubSample-max-1k-tokens.DynamicMem
DynamicMem
This dataset contains anonymized app logs and corresponding evaluation task files for 10 users.
Dataset Structure
app_logs/: app interaction logs for each user.
eval_tasks/: corresponding evaluation task data files.
metadata.csv: mapping between users, app log files, and evaluation task files.
License
CC BY 4.0
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.dynamic_gender_label_datasetThis is the official dataset for Beyond Binary Gender Labels: Revealing Gender Bias in LLMs through Gender-Neutral Name Predictions
Name-based gender prediction has traditionally categorized individuals as either female or male based on their names, using a binary classification system. That binary approach can be problematic in the cases of gender-neutral names that do not align with any one gender, among other reasons. Relying solely on binary gender categories without recognizing… See the full description on the dataset page: https://huggingface.co/datasets/uzw/dynamic_gender_label_dataset.dynamic_topic_modeling_arxiv_abstract_1khan-humanoid-dynamic-motion-dataset-v1
HAN Humanoid Dynamic Motion Dataset v1
Overview
This dataset contains dynamic motion sequence data for humanoid robot training
in walking, turning, and object interaction simulations.
Content
Joint angle sequences
Velocity vectors
Gyroscope balance metrics
Motion transition labels
Format
JSON Lines (.jsonl)
Each entry contains:
timestamp
joint_angles
velocity
gyro_balance
motion_type
next_state
Size
5,200 motion sequences
Generated… See the full description on the dataset page: https://huggingface.co/datasets/Caplin43/han-humanoid-dynamic-motion-dataset-v1.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.dynamic_questionglobal_inflation_dynamics_postCOVIDDynamic_Feature_B4E_dataset