metadata

language: en
dataset_info:
  features:
    - name: question
      dtype: string
    - name: choices
      sequence: string
    - name: answer
      dtype: int8
    - name: hint
      dtype: string
    - name: task
      dtype: string
    - name: grade
      dtype: string
    - name: subject
      dtype: string
    - name: topic
      dtype: string
    - name: category
      dtype: string
    - name: skill
      dtype: string
    - name: lecture
      dtype: string
    - name: solution
      dtype: string
  splits:
    - name: train
      num_bytes: 8105771.787521609
      num_examples: 6508
    - name: validation
      num_bytes: 2638142.7097382694
      num_examples: 2144
    - name: test
      num_bytes: 2757852.295213393
      num_examples: 2224
  download_size: 2925662
  dataset_size: 13501766.792473271

Dataset Card for "scienceQA_text_only"

ScienceQA text-only examples (examples where no image was initially present, which means they should be doable with text-only models.)

@article{10.1007/s00799-022-00329-y,
author = {Saikh, Tanik and Ghosal, Tirthankar and Mittal, Amish and Ekbal, Asif and Bhattacharyya, Pushpak},
title = {ScienceQA: A Novel Resource for Question Answering on Scholarly Articles},
year = {2022},
journal = {Int. J. Digit. Libr.},
month = {sep}
}