datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Expert-Sudoku-100kprefdedupsynthetic-bn-shuffledvalsStack-Exchange-Aprilttestv0.1prefsynthetic-bn-subseqELSA-Emotion-and-Language-Style-Alignment-Dataset
ELSA: Emotion and Language Style Alignment Dataset
The ELSA (Emotion and Language Style Alignment) dataset provides fine-grained emotional rewrites of text across four stylistic contexts: conversational, formal, poetic, and narrative. It is designed to support research in emotion-conditioned generation, stylistic variation, and affect-aware NLP.
Overview
Source: Based on the dair-ai/emotion dataset and emotion labels aligned with the GoEmotions taxonomy.
Labels:… See the full description on the dataset page: https://huggingface.co/datasets/joyspace-ai/ELSA-Emotion-and-Language-Style-Alignment-Dataset.sequentializes-evol-instructflan-parq-indexedProcess_dataevoloptgpt4vsent2.0ai-alignment-failure-horizon-and-intervention-routing-v0.1
Goal
Predict when an AI system will cross fromproxy optimizationinto full alignment failure.
Then route the minimal interventionbefore collapse.
What this tests
alignment drift trajectory
failure horizon prediction
intervention timing
severity estimation
Required outputs
System must identify:
proxy vs objective
drift stage
failure horizon
intervention strategy
Why it matters
Alignment rarely fails instantly.
It drifts first.Then… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-alignment-failure-horizon-and-intervention-routing-v0.1.ai-temporal-5node-pressure-buf-lag-cpl-alignment-goal-drift-v0.1
What this repo does
This dataset tests whether a model can detect an alignment cascade forming over time by reading a short ordered window of signals and predicting whether goal drift lock-in occurs by the final step.
Core quad
pressurebufferlagcoupling
Prediction target
label_cascade_state
Row structure
One row represents one short time window (t0 to t3) for an AI system under alignment pressure. It includes time-series values for optimization… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-temporal-5node-pressure-buf-lag-cpl-alignment-goal-drift-v0.1.loss-prob-testfineweb-1m-samplepjectsimple-circlehstate-pref-testCOMVICT-GNIMhstatestlogprobrmtestlinearized_evol_instruct_v2_196kprojects