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Text · dataset · 2024

FlashRAG Datasets

Listed in Hugging Face Datasets

⚡FlashRAG: A Python Toolkit for Efficient RAG Research FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research.

Description

Our toolkit includes 36 pre-processed benchmark RAG datasets and 16 state-of-the-art RAG algorithms. With FlashRAG and provided resources, you can effortlessly reproduce existing SOTA works in the RAG domain or implement your custom RAG processes and components.

For more information, please view our GitHub repo… See the full description on the dataset page: huggingface.co/datasets/RUC-NLPIR/FlashRAG_datasets.

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Where it is published

Documentation and papers

Catalogue records · 1

Topics

Stated by source
question answering · summarization · text
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsRUC-NLPIR/FlashRAG_datasets10 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[task].hf_task:question-answeringsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
concepts[task].hf_task:summarizationsource · 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