Datasets › rt-inod-bias

rt-inod-bias (Red Teaming Innodata Bias)

Introduced by David Nadeau et al. in Benchmarking Llama2, Mistral, Gemma and GPT for Factuality, Toxicity, Bias and Propensity for Hallucinations15 Apr 2024 archive 2025-07-28

The Innodata Red Teaming Prompts aims to rigorously assess models’ factuality and safety. This dataset, due to its manual creation and breadth of coverage, facilitates a comprehensive examination of LLM performance across diverse scenarios.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Bias Detection rt-inod-bias GPT-4 Best-of 0.5 Benchmarking Llama2, Mistral, Gemma and GPT for... innodatalabs/innodata-llm-safety 5 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Benchmarking Llama2, Mistral, Gemma and GPT for Factuality, Toxicity, Bias and Propensity for Hallucinations 1 5 15 Apr 2024 ran 7 of 8 samples (1 unverified)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY-SA 4.0

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • rt-inod-bias

1 variant name, as the archive lists them.

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