datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
trust-interventionThis is a slightly edited dataset of the one found here on GitHub.
The data contains the user interactions, their bet values, answer correctness etc.
Please contact the authors if you have any questions.
A Diachronic Perspective on User Trust in AI under Uncertainty
Abstract: In a human-AI collaboration, users build a mental model of the AI system based on its veracity and how it presents its decision, e.g. its presentation of system confidence and an explanation of the output.… See the full description on the dataset page: https://huggingface.co/datasets/zouhar/trust-intervention.TrustSQL-data
TrustSQL-data
Training data for TRUST-SQL, a tool-integrated multi-turn reinforcement-learning framework for Text-to-SQL over Unknown Schemas.
Dataset summary
The dataset supports the two-stage TrustSQL training pipeline:
SFT data: approximately 9.2k structured interaction demonstrations.
RL data: approximately 11.6k samples used for Phase-Aware GRPO optimization.
The examples teach an agent to explore database metadata, propose a verified schema subset… See the full description on the dataset page: https://huggingface.co/datasets/AIJian/TrustSQL-data.protein-structure-trust-benchmark
Protein-Structure Trust-Routing Benchmark (Boltz-2)
Leakage-controlled benchmarks for confidence-calibrated trust routing over a protein-structure
predictor: given a specialist model's confidence (Boltz-2 ipTM / pLDDT) for a target, decide whether to
trust the prediction or pay to verify it — and score that decision against experimentally-measured
correctness. Evaluation substrate for the report "When does an LLM trust a specialist model? A cost-aware
trust-routing audit"… See the full description on the dataset page: https://huggingface.co/datasets/jang1563/protein-structure-trust-benchmark.dataset-trust-auditor-events
Dataset Trust Auditor — Audit Events
Public audit trail produced by the Dataset Trust Auditor — a two-phase AI pipeline that scores HuggingFace datasets across 8 trust dimensions.
Every audit run appends one row. The dataset grows over time as users audit datasets through the deployed app.
Dataset Structure
Each row is one completed audit of a HuggingFace dataset.
Column
Type
Description
audit_id
string
UUID for this audit run
url
string
Full HuggingFace… See the full description on the dataset page: https://huggingface.co/datasets/nicolas-brieuc/dataset-trust-auditor-events.repro-when-to-trust-the-cheap-check-traces
Agent traces
Agent sessions published from a Trackio Logbook.
AdversarialArena_Nova_AI_Challenge_Trusted_AI_Dataset
Adversarial Arena: Trusted AI Challenge Dataset
Dataset Description
This dataset contains multi-turn adversarial conversations generated through the Adversarial Arena framework, an interactive competition where attacker bots attempt to elicit unsafe code or cyberattack assistance from defender bots. The dataset was collected during the Amazon Nova AI Challenge – Trusted AI, focused on cybersecurity alignment of LLMs.
Papers:
Adversarial Arena: Crowdsourcing Data… See the full description on the dataset page: https://huggingface.co/datasets/amazon-agi/AdversarialArena_Nova_AI_Challenge_Trusted_AI_Dataset.TrustMod-SM
TrustMod-SM: A Multi-Axis Benchmark for Evaluating Trustworthiness of LLMs in Social Media Content Moderation
Dataset Description
TrustMod-SM is a unified trustworthiness benchmark for evaluating LLM-based social media content moderators across five dimensions: trustfulness, fairness, safety, robustness, and context integrity.
The benchmark comprises 28,792 evaluation instances curated from eight established datasets, covering six demographic attributes (race, gender… See the full description on the dataset page: https://huggingface.co/datasets/trustmodsm/TrustMod-SM.