Add README.md dataset card

README.md

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+---
+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`)
+- `category`: Coarse group (`junk`, `filler`, `mediocre`, `educational`)
+- `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`.