README.md

---
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}
}
```