datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
omission-detection-realdata-pilot
Omission Detection — Real-Data Pilot
What is Omission Detection?
Large language models (LLMs) in agentic pipelines often omit information
present in their context window — they fail to surface a relevant fact even
when it is theoretically visible. This dataset captures 372 controlled
trials from the real-data pilot, extending the synthetic sweep to
real-world documents and agent frameworks.
Each trial fetches a document from a real source (PubMed, HAPI FHIR, SEC… See the full description on the dataset page: https://huggingface.co/datasets/Santhiyarajan/omission-detection-realdata-pilot.omission-detection-synthetic
Omission Detection — Synthetic Sweep
What is Omission Detection?
Large language models (LLMs) in agentic pipelines often omit information
present in their context window — they fail to surface a relevant fact even
when it is theoretically visible. This dataset captures 75,876 controlled
trials designed to measure and attribute these omissions across 9 taxonomic
layers (L0–L8).
Each trial generates a synthetic clinical document, embeds a "needle" fact at a… See the full description on the dataset page: https://huggingface.co/datasets/Santhiyarajan/omission-detection-synthetic.