| ---
|
| license: cc-by-4.0
|
| task_categories:
|
| - text-generation
|
| language:
|
| - en
|
| tags:
|
| - structured-data
|
| - sft
|
| - synthetic
|
| - json
|
| - xml
|
| - yaml
|
| - toml
|
| size_categories:
|
| - 1K<n<10K
|
| ---
|
|
|
| # Hard Synthetic Dataset for Structured Data Tasks (v1)
|
|
|
| This dataset contains **4,000 high-difficulty synthetic samples** designed to improve LLM performance on complex structured data conversion, extraction, and formatting tasks.
|
|
|
| The data is fully synthetic, generated using deterministic serialization to ensure syntax validity while maintaining high structural complexity (deep nesting and varied types).
|
|
|
| ## Dataset Summary
|
|
|
| The dataset addresses four "hard" areas typically encountered in structured data processing:
|
|
|
| | Task Subcategory | Task Type | Description | Count |
|
| | :--- | :--- | :--- | :--- |
|
| | **json_to_xml** | Transformation | Nested JSON to XML without attributes, preserving case. | 1,000 |
|
| | **xml_to_yaml** | Transformation | Deeply nested XML to YAML, preserving tag names and structure. | 1,000 |
|
| | **text_to_toml** | Extraction | Extracting attributes from text into TOML dotted tables/AOT. | 1,000 |
|
| | **text_to_yaml** | Extraction | Extracting attributes from text into nested YAML structures. | 1,000 |
|
|
|
| ## Data Format
|
|
|
| Each sample is in JSONL format with the following structure:
|
| - `id`: A unique hash derived from the content.
|
| - `category`: The high-level task category (e.g., `C_XML`, `C_TOML`, `C_YAML`).
|
| - `subcategory`: Specific conversion/extraction type.
|
| - `task`: Action (e.g., `transform`, `extract`).
|
| - `seed`: Marker for generation source (`dummy_hard`).
|
| - `messages`: Conversation format (User prompt and Assistant response).
|
|
|
| ## Features
|
|
|
| - **Structural Complexity**: Objects are built with random depths, including nested arrays of dictionaries and mixed scalar types.
|
| - **Strict Validity**: Every sample has been verified against standard parsers (PyYAML, tomllib/tomli, ElementTree).
|
| - **Deterministic Serialization**: Assistant responses follow strict formatting rules (e.g., 2-space indentation, specific XML tag sanitization) to serve as a reliable ground truth.
|
|
|
| ## License
|
|
|
| This dataset is licensed under **CC-BY-4.0** as it is a purely synthetic collection.
|
|
|
| ## Usage Note
|
|
|
| This dataset is intended for supervised fine-tuning (SFT) of LLMs to improve their structural reasoning and formatting capabilities across various formats including XML, YAML, and TOML.
|
|
|
