README.md

metadata

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://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.