datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
t2-ragbench
Dataset Card for T2-RAGBench
Project Page | Paper | Code
IMPORTANT NOTICE:
We deleted VQAonBD from the dataset due to low quality of the question reformulations. If you still want to use it you will find the data in the previous commit history.
Dataset Description
Dataset Summary
T2-RAGBench is a benchmark dataset designed to evaluate Retrieval-Augmented Generation (RAG) on financial documents containing both text and tables. It consists of 23,088… See the full description on the dataset page: https://huggingface.co/datasets/G4KMU/t2-ragbench.ragbench
RAGBench
Dataset Overview
RAGBEnch is a large-scale RAG benchmark dataset of 100k RAG examples.
It covers five unique industry-specific domains and various RAG task types.
RAGBench examples are sourced from industry corpora such as user manuals, making it particularly relevant for industry applications.
RAGBench comrises 12 sub-component datasets, each one split into train/validation/test splits
Usage
from datasets import load_dataset
# load… See the full description on the dataset page: https://huggingface.co/datasets/galileo-ai/ragbench.t2-ragbench
Dataset Card for T2-RAGBench
Project Page | Paper | Code
IMPORTANT NOTICE:
We deleted VQAonBD from the dataset due to low quality of the question reformulations. If you still want to use it you will find the data in the previous commit history.
Dataset Description
Dataset Summary
T2-RAGBench is a benchmark dataset designed to evaluate Retrieval-Augmented Generation (RAG) on financial documents containing both text and tables. It consists of 23,088… See the full description on the dataset page: https://huggingface.co/datasets/botay/t2-ragbench.rag-bench
Dataset card for RAG-BENCH
Data Summary
RAG-bench aims to provide results of many commonly used RAG datasets. All the results in this dataset are evaluated by the RAG evaluation tool Rageval, which could be easily reproduced with the tool.
Currently, we have provided the results of ASQA dataset,ELI5 dataset and HotPotQA dataset.
Data Instance
ASQA
{
"ambiguous_question":"Who is the original artist of sound of silence?",
"qa_pairs":[{… See the full description on the dataset page: https://huggingface.co/datasets/golaxy/rag-bench.t2-ragbench
Dataset Card for T2-RAGBench
Project Page | Paper | Code
IMPORTANT NOTICE:
We deleted VQAonBD from the dataset due to low quality of the question reformulations. If you still want to use it you will find the data in the previous commit history.
Dataset Description
Dataset Summary
T2-RAGBench is a benchmark dataset designed to evaluate Retrieval-Augmented Generation (RAG) on financial documents containing both text and tables. It consists of 23,088… See the full description on the dataset page: https://huggingface.co/datasets/grasson/t2-ragbench.t2-ragbench-splitst2-ragbench
Dataset Card for T2-RAGBench
Project Page | Paper | Code
IMPORTANT NOTICE:
We deleted VQAonBD from the dataset due to low quality of the question reformulations. If you still want to use it you will find the data in the previous commit history.
Dataset Description
Dataset Summary
T2-RAGBench is a benchmark dataset designed to evaluate Retrieval-Augmented Generation (RAG) on financial documents containing both text and tables. It consists of 23,088… See the full description on the dataset page: https://huggingface.co/datasets/tomsummerfield/t2-ragbench.ragbench-ru
New Dataset (Russian Translation)
This dataset is a translation of the original dataset from English to Russian.
Translated by model Qwen2.5-72B-Instruct.
License
The dataset is licensed under the CC BY 4.0.
Original Source
The original dataset can be found at Dataset Source Link.
ragbench-dual-clf-preprocessedvectara_open_ragbench
Dataset Card for Vectara Open RAGBench
Dataset Description
Dataset Summary
Vectara Open RAGBench is a benchmark dataset designed to evaluate Retrieval-Augmented Generation (RAG) on open-source scientific documents containing text, tables & images. It consists of 3045 questions-answers-triples coming from in total 2301* documents. The dataset is split up into two main parts: text-table questions and image-based questions. The text-table part contains 2062… See the full description on the dataset page: https://huggingface.co/datasets/G4KMU/vectara_open_ragbench.ragbench
RAGBench
Dataset Overview
RAGBEnch is a large-scale RAG benchmark dataset of 100k RAG examples.
It covers five unique industry-specific domains and various RAG task types.
RAGBench examples are sourced from industry corpora such as user manuals, making it particularly relevant for industry applications.
RAGBench comrises 12 sub-component datasets, each one split into train/validation/test splits
Usage
from datasets import load_dataset
# load… See the full description on the dataset page: https://huggingface.co/datasets/menggaotian/ragbench.ragbench_10row_tester_synthetic_mistakeragbench-5dragbench_10row_tester_synthetic_mistake_evaluatedragbench-allragbench_10row_tester_annotatedragbench_10row_testerQwen7b_ragbench_emanual_400row_mistake_addedragbench_delucionqa_400row_mistake_addedragbench_emanual_400row_mistake_addedMistral8b_ragbench_delucionqa_400row_mistake_addedrag-bench-private-texts-dragon-upmilDRAGON bench history private texts (mappings). Date: 2025.12.29
rag-bench-private-qa-dragon-upmilDRAGON bench history private QA dataset. Date: 2025.12.29
ragbench-test-sampleragbench_emanual_400rowragbench_techqa_400row_mistake_addedragbench
RAGBench
Dataset Overview
RAGBEnch is a large-scale RAG benchmark dataset of 100k RAG examples.
It covers five unique industry-specific domains and various RAG task types.
RAGBench examples are sourced from industry corpora such as user manuals, making it particularly relevant for industry applications.
RAGBench comrises 12 sub-component datasets, each one split into train/validation/test splits
Usage
from datasets import load_dataset
# load… See the full description on the dataset page: https://huggingface.co/datasets/suniltvl/ragbench.DeepSeek7b_ragbench_techqa_400row_mistake_addedLlama8b_ragbench_emanual_400row_mistake_addedopen_ragbench_chunks