metadata
license: mit
dataset_info:
- config_name: documents
features:
- name: question_id
dtype: int64
- name: documents
sequence: string
splits:
- name: train
num_bytes: 18770828
num_examples: 1172
download_size: 10608695
dataset_size: 18770828
- config_name: question-answer
features:
- name: id
dtype: int64
- name: question
dtype: string
- name: answer
dtype: string
- name: relevant_passage_ids
dtype: string
splits:
- name: train
num_bytes: 386574
num_examples: 1172
download_size: 252573
dataset_size: 386574
configs:
- config_name: documents
data_files:
- split: train
path: documents/train-*
- config_name: question-answer
data_files:
- split: train
path: question-answer/train-*
task_categories:
- question-answering
language:
- en
tags:
- biology
size_categories:
- 1K<n<10K
This dataset is a fork of rag-datasets/rag-mini-bioasq.
The use case for this dataset is to test and evaluate an LLM or a RAG application's ability to filter out irrelevant information to answer a given question.
This forks filters away all questions with one or more "NaN" passages, and adds an average of 80% irrelevant passages to each question.