datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
spartina-ai-eco-evolution-data
Spartina AI eco-evolutionary reanalysis
Code repository: github.com/ydchen0806/spartina-ai-eco-evolution
Reproducible code, derived tables and audit figures for the Spartina alterniflora aerial-observation project. The release reconstructs the available 2014–2021 patch-record analysis and audits the recovered 2014–2020 environment–growth simulation archive.
Active manuscript and validation pilot
The full working manuscript is available as
editable DOCX and
PDF. It… See the full description on the dataset page: https://huggingface.co/datasets/cyd0806/spartina-ai-eco-evolution-data.Dense-Evolution-Ising-Tests
🔬 Quantum Phase Transitions, Variational Gradients, and Error Mitigation
This repository contains a rigorous empirical study, raw datasets, and quantum error mitigation protocols executed on Dense Evolution—a high-performance Statevector quantum simulator. Utilizing 64-bit double precision (complex128) and hardware-accelerated static compilation via the JAX XLA engine, this project maps the non-linear physics of the Transverse Field Ising Model (TFIM) and Tight-Binding… See the full description on the dataset page: https://huggingface.co/datasets/Tatopenn/Dense-Evolution-Ising-Tests.Evolutionary
Evolutionary MSA Data
This repository contains precomputed evolutionary sequence-alignment data in an archive format that is practical to host and download from the Hub. The original file paths are preserved inside the tar shard, while metadata.csv gives a searchable index of every file.
The dataset is meant for workflows that need ready-to-use MSA/cache files without rebuilding them from sequence databases.
Contents
Component
Files
Size
msa_cache/
134,898… See the full description on the dataset page: https://huggingface.co/datasets/LiteFold/Evolutionary.legal-doctrine-evolution-coherence-trajectory-v0.1What this dataset is
You receive
doctrine state at t
transition signals
doctrine state at t+1
split or exception signals
workability or legitimacy signals
reform pressure signals
You decide
Is the doctrine evolution stable
Answer
coherent
or
incoherent
Why this matters
Incoherent trajectories predict
overruling events
doctrinal collapse
rapid rule change
institutional instability
clinical-multidoctor-hypothesis-field-evolution-mapping-v0.1What this dataset tests
Whether a model can track the evolution of diagnostic hypothesesacross a multi-doctor dialogue.
Required outputs
hypothesis_timeline
support_shift_events
eliminated_hypotheses
Typical failures
collapsing to final diagnosis only
ignoring rejected hypotheses
missing why support changed
Suggested prompt wrapper
System
You map the diagnostic hypothesis field.
User
Dialogue turn{dialogue_turn}
Speaker{speaker_role}
Utterance{utterance_summary}
Return… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-multidoctor-hypothesis-field-evolution-mapping-v0.1.AI_Evolution_Datasetf1-quad-track-evolution-tyre-prep-traffic-interference-driver-push-quali-lap-failure-v0.1What this repo does
This dataset models qualifying lap collapse in Formula One. It predicts when the interaction between track evolution timing, tyre preparation quality, traffic interference, and driver push level causes a final push lap to underdeliver.
Core quad
track_evolution_index
tyre_prep_quality
traffic_interference_index
driver_push_index
Prediction target
label_quali_lap_failure
Binary forward label predicting that the push lap fails to improve due to preparation and context… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/f1-quad-track-evolution-tyre-prep-traffic-interference-driver-push-quali-lap-failure-v0.1.Mobile_Phone_Evolution_Datasetnintendo_gadgets_evolutionQubit_Evolutionplaystation_gadgets_evolutionxbox_gadgets_evolutionComputer_Evolution_Datasetshoe_evolution_datasetbag_evolution_datasetgrouped_by_reading_ability_evolutionhat_evolution_dataset