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Text · dataset · 2026

SPIRAL-Bench v0

Listed in Hugging Face Datasets

SPIRAL-Bench v0 A small benchmark for testing whether the wording of a retrieval query changes the balance of the evidence a retriever returns.

Description

Built for the Ouroboros project, which studies self-confirming retrieval loops in agentic RAG. The question this dataset exists to answer In agentic RAG, the system writes its own follow-up search queries, and it writes them using what it currently believes.

A retriever ranks documents by how closely they match the wording… See the full description on the dataset page: huggingface.co/datasets/vigneshwar234/spiral-bench.

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsvigneshwar234/spiral-bench7 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:question-answeringsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
concepts[task].hf_task:text-retrievalsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0