agent-reward-bench — Dataset Trust & Quality Analysis 2026
agent-reward-bench is a dataset by McGill-NLP with Nerq Trust Score 53/100 (D). Verdict: caution. This asset has moderate trust signals. Review before using in production.
agent-reward-bench is a dataset by McGill-NLP with a Nerq Trust Score of 53/100 (Grade D). Verdict: CAUTION. 914 downloads. License: Not specified. Last analyzed February 2026.
53
Trust Score
D
Grade
914
Downloads
4
Stars
About This Dataset
N/A
Dataset Details
| Author | McGill-NLP |
|---|---|
| Source | HuggingFace |
| License | Not specified |
| Tags | task_categories:robotics, language:en, size_categories:1K<n<10K, format:csv, modality:image, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars |
| Language | Not specified |
| Downloads | 914 |
Quality & Trust Analysis
| Security Score | Pending/100 |
|---|---|
| Activity Score | Pending/100 |
| Documentation | Pending/100 |
| Popularity | 0.1/100 |
| EU AI Act Class | Pending |
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Frequently Asked Questions
Is agent-reward-bench safe to use?
agent-reward-bench has a Nerq Trust Score of 53/100 (Grade D). Verdict: caution. Always check the license and data provenance before using in production.
What license is agent-reward-bench?
License: Not specified. Verify the license terms on HuggingFace before commercial use.
How popular is agent-reward-bench?
agent-reward-bench has 914 downloads and 4 stars on HuggingFace, indicating growing community adoption.
Who maintains agent-reward-bench?
agent-reward-bench is maintained by McGill-NLP. Activity score: pending/100.
Disclaimer: Nerq trust scores are automated assessments. Not endorsements.