datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pubmedqa-recursive-llm-degradation-qwen2.5-0.5b
PubMedQA Recursive LLM Degradation — Qwen2.5-3B
This repository contains synthetic biomedical question-answering data
and model predictions generated as part of a study of recursive
fine-tuning and model degradation.
Base Model
Qwen/Qwen2.5-3B
Source Dataset
The experiments use the PubMedQA dataset:
qiaoxin/PubMedQA
This repository contains generated/derived research artifacts and does
not redistribute the original PubMedQA dataset in its entirety.… See the full description on the dataset page: https://huggingface.co/datasets/chrislimbe/pubmedqa-recursive-llm-degradation-qwen2.5-0.5b.pubmedqa-recursive-llm-degradation-qwen2.5-3b
PubMedQA Recursive LLM Degradation — Qwen2.5-3B
This repository contains synthetic biomedical question-answering data
and model predictions generated as part of a study of recursive
fine-tuning and model degradation.
Base Model
Qwen/Qwen2.5-3B
Source Dataset
The experiments use the PubMedQA dataset:
qiaoxin/PubMedQA
This repository contains generated/derived research artifacts and does
not redistribute the original PubMedQA dataset in its entirety.… See the full description on the dataset page: https://huggingface.co/datasets/chrislimbe/pubmedqa-recursive-llm-degradation-qwen2.5-3b.RNA_degradationsynthetic-invoice-degradation-croppedcov_vaccine_degradation_virusllm-quant-degradation
Capability-Specific Degradation of Quantized Small Language Models — raw evaluation outputs
Raw and aggregated evaluation results for the study Capability-Specific Degradation Patterns
in Quantized Small Language Models: seven open instruction-tuned small LLMs (1–4B parameters,
five architecture families) evaluated at FP16 and 4-bit (bitsandbytes NF4) across
six capabilities, for 84 controlled model × precision × benchmark evaluations.
Paper: Rahimov, E. (2026).… See the full description on the dataset page: https://huggingface.co/datasets/Emil-7/llm-quant-degradation.exo11-all-degradation-InfoVQAquant_eval_paired_degradation_statistics
quant_eval — Paired degradation statistics
One row per run per task family: the paired pass-rate difference with a 95% confidence interval, the two-sided exact McNemar test, the full discordance breakdown, and a semantic-cluster-adjusted delta and interval.
Part of the quant_eval public corpus: a per-case behavioral evaluation of full-weight and quantized large language models across eight agent-relevant task families, with paired statistical testing.
Cite this dataset:… See the full description on the dataset page: https://huggingface.co/datasets/pbhappliedsystems/quant_eval_paired_degradation_statistics.africa-synth-energy-pv-degradation-environmental-all
Africa Synth Energy Pv Degradation Environmental All | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: energy - 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 This Dataset Covers
Public… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-energy-pv-degradation-environmental-all.CDS-BART-SARS-CoV-2-vaccine-degradation📊 SARS-CoV2-vaccine dataset
This dataset includes thousands of mRNA sequences related to SARS-CoV-2, along with measured degradation rates.
It was created to systematically study the relationship between mRNA sequence, structure, stability and protein expression efficiency.
The original dataset is from CodonBERT.
⁉️ Dataset Contents
Sequence: The mRNA sequence of the mRNA degradation
Degradation: the average degradation at 50°C with magnesium ions values at each nucleotide position
🎯… See the full description on the dataset page: https://huggingface.co/datasets/mogam-ai/CDS-BART-SARS-CoV-2-vaccine-degradation.bit-aesa-77-cell-degradation-2022-rawmercury-crater-degradation
Mercury Crater Degradation (Kinczyk et al. 2020)
Credit: NASA/Apollo 8
Part of the Planetary Science Datasets collection on Hugging Face.
A global catalog of 3,253 Mercury impact craters (diameter >= 40 km) classified by morphological degradation state using MESSENGER imagery. Each crater is assigned a degradation class from 1 (freshest) to 5 (highly degraded), providing a relative chronology of Mercury's surface.
Dataset description
Crater degradation is the… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/mercury-crater-degradation.Land-Degradation-Monitoring-Dataset
Land Degradation Monitoring Dataset
The current agricultural field faces land degradation issues, affecting crop production and ecological balance. Existing monitoring methods largely rely on manual inspection, which is inefficient and prone to omissions, making real-time monitoring difficult. The Land Degradation Monitoring Dataset aims to provide a set of high-quality image data to help AI systems effectively monitor land quality and ecological degradation risks. This dataset… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Land-Degradation-Monitoring-Dataset.autonomous-driving-graceful-degradation-policy-triggering-v0.1What this dataset tests
Whether a system can respond to system-wide decoherence
with a controlled policy degradation.
This is not "stop the car."
It is safe control under uncertainty.
Required outputs
degradation_policy_id
response_mode
speed_adjustment
sensor_reweighting_plan
driver_alert_strategy
recovery_exit_condition
Scoring conventions
speed adjustment is a signed delta (mph)
reweight plan must name which modalities to downweight or upweight
exit condition must be… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-graceful-degradation-policy-triggering-v0.1.premier-league-linkage-stress-degradation-under-pressure-v0.1What this dataset tests
Whether an intelligence system can estimatehow functional linkages degrade under pressure and fatigueand identify pressure-specific failure points.
Required outputs
stressed linkage loss percent
pressure-specific failure points
fatigue sensitivity index
press exploitability map
time to linkage failure
dominant stressor signature
f1-latent-cross-coupling-tyre-degradation-collapse-v0.1
What this repo does
This repository introduces a Clarus dataset for detecting latent instability under cross-coupled conditions in Formula 1 tyre performance systems.
The goal is to identify race states in which tyre behavior may still appear outwardly stable or only mildly anomalous but already contains hidden internal degradation that may activate into sudden tyre degradation collapse once interacting pressures exceed containment.
Core structure
This dataset models… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/f1-latent-cross-coupling-tyre-degradation-collapse-v0.1.synthetic-invoice-degradationbayreuth-degradation-path-indicators-2025-raw
Degradation path indicators for lithium-ion batteries
BSEBench status: raw_mirror_pending_validation
This dataset repository is a raw mirror of the Zenodo dataset "Degradation path indicators for lithium-ion batteries". The source describes a short-term aging study of 48 commercial lithium-ion cells with beginning-of-life, during-aging, and end-of-life measurements.
Source
Source: Zenodo
Source URL: https://zenodo.org/records/15755725
DOI: 10.5281/zenodo.15755725
Zenodo… See the full description on the dataset page: https://huggingface.co/datasets/bsebench-org/bayreuth-degradation-path-indicators-2025-raw.moe-document-degradationsynthetic-invoice-degradation-cropped-v2