datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sft-tool-calling-structured-output-v1
vericava/sft-tool-calling-structured-output-v1
Dataset to train (SFT) 3-20B LLMs for tool calling and structured outputs/classifications.
Includes contents in English as well as some Japanese.
structured-output-sft-100k
Structured Output SFT (100K)
100,000 ShareGPT conversations demonstrating correct generation of structured data formats: JSON, YAML, CSV, XML, Markdown tables, JSON Schema, and OpenAPI fragments. Each example pairs a natural language specification with a valid, well-formed output.
Motivation
Structured output generation is among the most commercially critical LLM capabilities. Models fail in characteristic ways:
Invalid JSON: unclosed brackets, trailing commas… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/structured-output-sft-100k.json-structured-output-dpo-3k
JSON Structured Output DPO Pairs (3K)
DPO preference pairs for training LLMs to produce valid, schema-compliant JSON output.
Motivation
Structured output (JSON mode) is critical for production AI applications — parsers fail, pipelines break, and downstream processing errors when models output malformed JSON, use wrong field names, or wrap responses in markdown. This dataset trains strict schema adherence.
Dataset Description
3,000 preference pairs… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/json-structured-output-dpo-3k.