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metadata
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.