| 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`. | |