---
language:
- en
license: mit
task_categories:
- text-classification
pretty_name: Educational & Quality Classifier Stress Test (16 Samples)
size_categories:
- n<1K
---

# Educational & Quality Classifier Stress Test (16 Docs)

A lightweight 16-sample synthetic stress-test benchmark designed to test the floor and ceiling behavior of educational and text quality classifiers (e.g. TinyBERT FineWeb-Edu classifiers, DistilBERT, BERT-109M).

## Dataset Structure

Each record contains:
- `label`: Name of the specific test case (e.g. `casino_spam`, `stack_trace`, `thin_content`, `wikipedia_style`)
- `text`: The raw document text

## Overview of Test Cases

- **Junk**: `casino_spam`, `spam_ads`, `corrupted_binary`, `keyword_stuffing`, `stack_trace`, `broken_html_dump`
- **Filler**: `listicle_filler`, `auto_generated_filler`
- **Mediocre**: `blog_post_med`
- **Educational**: `detailed_lesson`, `basic_tutorial`, `research_summary`, `wikipedia_style`, `comprehensive_guide`, `textbook_explanation`, `thin_content`

## Context
Published for testing and reproducing evaluations from the discussion in `qikp/qes#1`.