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---
language:
- en
license:
- cc-by-sa-3.0
- gfdl
tags:
- rag
- long-context
- llm-search
- reasoning
- factuality
- retrieval
- question-answering
- iterative-search
task_categories:
- text-classification
- token-classification
- table-question-answering
- question-answering
dataset_info:
features:
- name: title
dtype: string
- name: link
dtype: string
- name: frames_prompt_id
sequence: int64
- name: original_link
sequence: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 57344587
num_examples: 2524
download_size: 33251945
dataset_size: 57344587
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# FRAMES Wikipedia Articles
This dataset contains fulltext of Wikipeida articles used in [FRAMES benchmark](https://huggingface.co/datasets/google/frames-benchmark) [(https://arxiv.org/abs/2409.12941)](https://arxiv.org/abs/2409.12941) for testing the capabilities of Retrieval-Augmented Generation (RAG) systems across factuality, retrieval accuracy, and reasoning.
The articles are retrieved in Oct. 2024. |