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Text · dataset · 2024

glaiveai/RAG-v1

Listed in Hugging Face Datasets

Glaive-RAG-v1 Glaive-RAG-v1 is a dataset with ~50k samples built using the Glaive platform, for finetuning models for RAG use cases.

Description

Each row has: List of documents for context Question Answer Mode Answer The answer mode is to define if the model should output only grounded responses or if it should combine it's internal information as well. The answers have Cited documents at the beginning and also <co: 1> tags in the text to mark citations.

To report any problems or suggestions… See the full description on the dataset page: huggingface.co/datasets/glaiveai/RAG-v1.

Links

Where it is published

Catalogue records · 1

Topics

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Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsglaiveai/RAG-v112 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:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
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