tasksource/ScienceQA_text_only

1---2language: en3dataset_info:4  features:5  - name: question6    dtype: string7  - name: choices8    sequence: string9  - name: answer10    dtype: int811  - name: hint12    dtype: string13  - name: task14    dtype: string15  - name: grade16    dtype: string17  - name: subject18    dtype: string19  - name: topic20    dtype: string21  - name: category22    dtype: string23  - name: skill24    dtype: string25  - name: lecture26    dtype: string27  - name: solution28    dtype: string29  splits:30  - name: train31    num_bytes: 8105771.78752160932    num_examples: 650833  - name: validation34    num_bytes: 2638142.709738269435    num_examples: 214436  - name: test37    num_bytes: 2757852.29521339338    num_examples: 222439  download_size: 292566240  dataset_size: 13501766.79247327141---42# Dataset Card for "scienceQA_text_only"43 44ScienceQA text-only examples (examples where no image was initially present, which means they should be doable with text-only models.)45 46```47@article{10.1007/s00799-022-00329-y,48author = {Saikh, Tanik and Ghosal, Tirthankar and Mittal, Amish and Ekbal, Asif and Bhattacharyya, Pushpak},49title = {ScienceQA: A Novel Resource for Question Answering on Scholarly Articles},50year = {2022},51journal = {Int. J. Digit. Libr.},52month = {sep}53}54```