| 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. |