structured
ppt-pythia-1b-appendix-structured-seed3407-stage2ppt-pythia-1b-appendix-structured-seed3408-stage2ppt-pythia-1b-structured-seed3407-stage2ppt-pythia-1b-structured-seed3408-stage2DeepSeek-R1-Qwen2.5-1.5b-SFT-R1-JSON-Unstructured-To-Structured-i1-GGUFDeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured-GGUFDeepSeek-R1-Qwen-2.5-1.5b-Latest-Unstructured-To-Structured-GGUFDeepSeek-R1-Qwen2.5-1.5b-SFT-R1-JSON-Unstructured-To-Structured-GGUF
structured-wikipedia
Dataset Card for Wikimedia Structured Wikipedia
Quick Links
Wikimedia Enterprise
Structured Contents Documentation
Data Dictionary
Wikimedia Attribution Framework
Meta-Wiki Discussion
Dataset Summary
Pre-parsed English and French Wikipedia articles, extracted using the Wikimedia Enterprise Snapshot API.
This dataset contains all articles of the English and French language editions of Wikipedia, pre-parsed and output as structured data with a… See the full description on the dataset page: https://huggingface.co/datasets/wikimedia/structured-wikipedia.ndl-core-structured-data
NDL Core – Structured Data
Overview
NDL Core – Structured Data is a curated collection of structured UK public sector datasets, converted into Apache Parquet format for efficient analytics and machine learning workflows.
This repository is part of the broader NDL Core Corpus, which combines both textual and structured data sourced from authoritative UK government and public sector platforms.
Textual sources (e.g. GOV.UK, Hansard, legislation.gov.uk) are hosted separately… See the full description on the dataset page: https://huggingface.co/datasets/theodi/ndl-core-structured-data.sharegpt-structured-output-json
ShareGPT-Formatted Dataset for Structured JSON Output
Dataset Description
This dataset is formatted in the ShareGPT style and is designed for fine-tuning large language models (LLMs) to generate structured JSON outputs. It consists of multi-turn conversations where each response follows a predefined JSON schema, making it ideal for training models that need to produce structured data in natural language scenarios.
Usage
This dataset can be used to train LLMs… See the full description on the dataset page: https://huggingface.co/datasets/Arun63/sharegpt-structured-output-json.Nemotron-RL-Instruction-Following-Structured-Outputs-v2
Dataset Description:
Split 1: Direct Generation tests the model’s ability to perform freeform text structured outputs on JSON, YAML, and XML data, varying the complexity and presentation of the schema.
Split 2: Diversified Tasks adds 2 additional output formats: TOML and CSV, while increasing problem types to Direct Extraction from document, Translation between formats, Multistep Translation from known data, Multistep Extraction from unrelated context, Schema-Only Generation for… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-RL-Instruction-Following-Structured-Outputs-v2.a3-rl-laion_nemotron-gym-instruction-following-structuredstructured-file-audit-benchmark
Paper Data Release
This directory contains the benchmark dataset and evaluation scripts accompanying the ACL submission: the three data splits (SC-Flat, SC-Book, SC-Pro) and the code needed to score them.
Contents
datasets/
Benchmark data and per-task manifests for the three paper-facing splits.
datasets/sc_flat/data
SC-Flat is derived from DaBench, augmented with a replayable perturbation
injected into each task's input artifact. Each task… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-structured-agent/structured-file-audit-benchmark.