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README.md
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---
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pretty_name: NAEP Civics – Extracted Items (CSV)
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language:
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- en
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task_categories:
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- question-answering
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- multiple-choice
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license: other
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---
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# NAEP Civics – Extracted Items (CSV)
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This dataset contains **20** rows parsed into a single CSV file.
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## Files
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- `naep_civics.csv` — flat table with the following columns:
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- `source_html`
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- `question_id`
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- `stimulus_text`
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- `question_text`
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- `option_A`
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- `option_B`
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- `option_C`
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- `option_D`
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- `option_E`
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- `option_F`
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- `option_G`
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- `option_H`
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- `correct_labels`
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- `correct_texts`
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- `images`
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- `videos`
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## Load with `datasets`
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```python
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from datasets import load_dataset
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ds = load_dataset('csv', data_files='naep_civics.csv', split='train')
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print(len(ds), ds.column_names)
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ds[0] # sample
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```
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## Media columns
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The CSV includes these media-related columns: `images`, `videos`.
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Values are semicolon-separated lists of paths or URLs when present.
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## Example row (truncated)
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- **source_html**: D:/masterthesis/National_exams/NAEP/civics/grade8_year2022_20qsns.htm
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- **question_id**: 2022-8C7 #1 P0656MS
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- **question_text**: Of the careers listed, select two that are primarily in public service. The word two is underlined.
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- **option_A**: Video game designer
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- **option_B**: Mayor
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- **option_C**: Police Officer
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- **option_D**: Photographer
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- **option_E**: Farmer
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- **correct_labels**: B;C
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- **correct_texts**: Mayor;Police officer
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- **images**: images/grade8_year2022_20qsns_2022-8C7_1_P0656MS_img1.png
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## Notes
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- Some rows may be media-only (images/videos) with blank text fields if the source page lacked machine-readable text.
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- Answer labels/texts are included only when present in the source.
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