Create README.md

README.md

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+---
+license: other
+language:
+- en
+tags:
+- english
+---
+# English Teaching Dataset
+
+A massive, clean dataset designed to teach English to Large Language Models.
+
+## Dataset Description
+
+**Size:** 20 GB  
+**Rows:** ~85 million examples  
+**Format:** CSV  
+**Purpose:** English language instruction fine-tuning for LLM development
+
+This dataset provides structured, pedagogical English teaching examples optimised for training language models. Each entry follows consistent formatting to ensure clean, predictable learning patterns for AI systems.
+
+## Dataset Structure
+
+The dataset contains the following fields:
+
+| Field | Description | Example |
+|-------|-------------|---------|
+| `id` | Unique row identifier | 12345678 |
+| `word` | Target English word or phrase | "ephemeral" |
+| `part_of_speech` | Grammatical category | adjective |
+| `pronunciation` | IPA phonetic notation | "/ɪˈfem.ər.əl/" |
+| `definition` | Clear, concise meaning | "Lasting for a very short time" |
+| `example_sentence` | Contextual usage example | "The beauty of cherry blossoms is ephemeral, lasting only a few weeks." |
+| `additional_example` | Secondary usage context | "Fame in the modern world is often ephemeral and fleeting." |
+| `instruction` | Teaching prompt format variations | Multiple pedagogical structures |
+
+## Data Quality
+
+This dataset has been meticulously cleaned to ensure:
+- ✅ No duplicate entries
+- ✅ Consistent formatting across all fields
+- ✅ Proper escaping of CSV special characters (quotes, newlines, commas)
+- ✅ Valid UTF-8 encoding throughout
+- ✅ Standardised field delimiters
+- ✅ No malformed or truncated rows
+## License
+Open Data Attribution Training Disclosure License (ODATL‑1.0)