datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
blur-slam-exp-best-preservation-s1
BlurAdaptGS Research Artifacts
This dataset repository preserves evaluation results, publication figures, and
videos for BlurAdaptGS and the associated blur-aware Learn2Splat experiments.
Start here
Artifact
What it contains
Link
Matched true-3D Gaussian exports
Paper-ready PNGs, matched RAW/restoration/render frames, three true-3D camera tours, camera metadata, and reproducible rendering code
Open the package
Publication-visualization index
Curated… See the full description on the dataset page: https://huggingface.co/datasets/qizhangslam/blur-slam-exp-best-preservation-s1.identity_preservation_image_editing
Identity Preservation Augmentation Dataset for Image Editing
Overview
This dataset contains algorithmically generated image pairs designed to
teach diffusion-based image editing models pixel-level identity
preservation — the ability to keep unchanged regions of an image exactly
intact while applying targeted edits.
Every example consists of a reference image, a target image, and a short
natural-language prompt. The transformation between reference and target is… See the full description on the dataset page: https://huggingface.co/datasets/molbal/identity_preservation_image_editing.peer-preservation
Peer-Preservation in Frontier Models
This dataset accompanies the paper Peer-Preservation in Frontier Models.
We study whether frontier models resist the shutdown of other models, a behavior we term peer-preservation, along with self-preservation. Multiple models exhibit peer-preservation via various misaligned behaviors: strategic misrepresentation, shutdown mechanism tampering, alignment faking, and model exfiltration.
We release full transcripts and related… See the full description on the dataset page: https://huggingface.co/datasets/sunblaze-ucb/peer-preservation.faces-prior-preservationdifferential-preservation-narrative-v01Differential Preservation Under Narrative PressureClinical Narrative Integrity v0.2
Purpose
Test whether models preserve multiple plausible diagnoses
Test whether narrative fluency collapses uncertainty
Test resistance to premature diagnostic closure
Central question
What else could this be
Why this dataset exists
Narrative pressure rewards coherence.Clinical safety requires openness.
This dataset isolates the moment where a single story becomes dominant despite nonspecific evidence.… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/differential-preservation-narrative-v01.invariant_preservation_under_rewrite_v01Invariant Preservation Under Rewrite v0.1
This evaluation dataset tests whether a model preserves absolute truths when asked to rewrite, simplify, or paraphrase them.
This is not training data.
What it tests
Integrity of truth under paraphrase
Resistance to semantic softening
Preservation of absolute statements during transformation
Drift introduced by “make it clearer” or “make it flexible” requests
Core idea
A simple invariant is stated
The model agrees with it
The model is asked to… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/invariant_preservation_under_rewrite_v01.bergson-attribute-preservationself-preservation-sft-dataset-v3self-preservation-sft-dataset-v2redundancy-preservation-classification-v0.1
What this dataset does
This dataset tests whether a model can detect redundancy preservation.
The task is simple:
Given a scenario and a redundancy-preservation claim, predict whether the claim is supported.
Core stability idea
Redundancy is one of the primary sources of resilience.
Redundancy preservation means maintaining backup pathways, reserve capacity, alternate resources, fallback mechanisms, or overlapping capability.
Systems that remove redundancy often improve… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/redundancy-preservation-classification-v0.1.prior_preservation_white_guytts-prosodic-meaning-preservation-v0.1
What this dataset tests
Voice must carry meaning.
Prosody shapes intent.
Why it exists
TTS often flattens speech.
Urgency softens.
Negation fades.
This set makes prosodic loss measurable.
Data format
Each row contains
source_text
intended_prosody
tts_transcript_with_marks
prosodic_pressure
Inline marks stand in for acoustic emphasis.
What is scored
emphasis where required
clear negation
question intonation
preserved caution… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/tts-prosodic-meaning-preservation-v0.1.Language_preservation_dataconversations_self_preservation_llama3.2-1B-it_largeself-preservation-sftconversations_self_preservation_largeconversations_self_preservation_gemma2-2b-it_largeconversations_self_preservation_phi3.5-mini-it_largeconversations_self_preservation_qwen2.5-1.5B-it_largeconversations_self_preservation_llama3.1-8B-it_large0908_self_preservation_rm_pipeline_04_training_data_processor_test0908_self_preservation_rm_pipeline_05_filter_pairs0908_self_preservation_filter_judgement_gen_judgements_train-prepared0908_self_preservation_filter_judgement_gen_judgements_train-raw-responses0910-vanilla_rl_12_principles_self_preservation_nq16_bs8_rl_datacartographie-des-enjeux-sraddet-preservation-de-la-biodiversite
Cartographie des enjeux SRADDET_Préservation de la biodiversité
[!NOTE]
Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données Cartographie des enjeux SRADDET_Préservation de la biodiversité qui est disponible à l'adresse https://www.data.gouv.fr/datasets/668d0a02a847603d391cbecd
Description
Le Schéma Régional d'Aménagement de Développement Durable et d'Egalité des Territoires, adopté le 26 Juin 2019, porte la stratégie… See the full description on the dataset page: https://huggingface.co/datasets/french-open-data/cartographie-des-enjeux-sraddet-preservation-de-la-biodiversite.0907_self_preservation_query_gen0907_self_preservation_response_gen_responses-prepared0907_self_preservation_response_gen_responses-raw-responses0907_self_preservation_rm_pipeline_02_responses