Krishna5T/naep-civics-2022

NAEP Civics – Extracted Items (CSV)

This dataset contains 20 rows parsed into a single CSV file.

Files

• naep_civics.csv — flat table with the following columns:
• source_html
• question_id
• stimulus_text
• question_text
• option_A
• option_B
• option_C
• option_D
• option_E
• option_F
• option_G
• option_H
• correct_labels
• correct_texts
• images
• videos

Load with datasets

from datasets import load_dataset
ds = load_dataset('csv', data_files='naep_civics.csv', split='train')
print(len(ds), ds.column_names)
ds[0]  # sample

Media columns

The CSV includes these media-related columns: images, videos. Values are semicolon-separated lists of paths or URLs when present.

Example row (truncated)

• source_html: D:/masterthesis/National_exams/NAEP/civics/grade8_year2022_20qsns.htm
• question_id: 2022-8C7 #1 P0656MS
• question_text: Of the careers listed, select two that are primarily in public service. The word two is underlined.
• option_A: Video game designer
• option_B: Mayor
• option_C: Police Officer
• option_D: Photographer
• option_E: Farmer
• correct_labels: B;C
• correct_texts: Mayor;Police officer
• images: images/grade8_year2022_20qsns_2022-8C7_1_P0656MS_img1.png

Notes

• Some rows may be media-only (images/videos) with blank text fields if the source page lacked machine-readable text.
• Answer labels/texts are included only when present in the source.