datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.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.a3-rl-laion_nemotron-gym-instruction-following-structurednemotron-gym-instruction-following-structured-qwen3.5-122b-131k-opencode-traces
Agent trace dataset
Decoding the literal token IDs
The prompt_token_ids / completion_token_ids / logprobs columns are the
verbatim tokens the serving engine emitted, stored PER AGENT STEP as a
list-of-lists (one inner list per turn). To turn them back into text you MUST
use the exact tokenizer the model was served with — a generic same-family
tokenizer will decode word tokens to garbage.
Served model / tokenizer source: Qwen/Qwen3.5-122B-A10B-FP8
from transformers… See the full description on the dataset page: https://huggingface.co/datasets/open-athena/nemotron-gym-instruction-following-structured-qwen3.5-122b-131k-opencode-traces.structured-cpt
Structured CPT - JSON + SQL pretrain documents
SmolLM2-1.7B continued-pretraining shard of structured documents. Each document
is a <task> / <input> / <output> block whose <output> is a canonical
JSON object, terminated by the SmolLM2 end-of-text token ``.
Sources:
source
description
rows
shards
repeat
sql_bmc2
b-mc2 sql-create-context -> JSON (4 keys, stub explanation)
392,885
1
5
sql_gretelai
gretelai synthetic_text_to_sql -> JSON (4 keys)
529,255
1
5… See the full description on the dataset page: https://huggingface.co/datasets/domofon/structured-cpt.turkish-structured-summarization-1.5m
Turkish Structured Summarization 1.5M v2
Üç cümlelik kurgusal operasyon kayıtları ve kısa Türkçe özetleri.
Doğrulanmış boyut
Train: 1,470,000
Validation: 15,000
Test: 15,000
Toplam: 1,500,000
Ana görev sütunları: id, document, summary, domain
Provenance
Veri insan mesajlarından, belgelerinden veya web kazımasından alınmamıştır. Tamamı
depodaki üretici koduyla deterministik olarak oluşturulur. Her satırda source_type,
provenance, generator_version… See the full description on the dataset page: https://huggingface.co/datasets/GoktugD/turkish-structured-summarization-1.5m.eu-ai-act-structured
EU AI Act, structured
Regulation (EU) 2024/1689 (the Artificial Intelligence Act) as tables: every article, recital, annex and definition, 677 obligations coded by actor, risk tier, application date and penalty basis, plus milestones, national competent authorities and fine tiers.
Built 2026-09-08 by SafeLegalAI (Cognesio LLP) from the official English texts served by the Publications Office of the European Union (Cellar): the consolidated text as of 27 July 2026 (CELEX… See the full description on the dataset page: https://huggingface.co/datasets/safelegalaidata/eu-ai-act-structured.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/Aregay01/structured-wikipedia.nemotron-gym-instruction-following-structured-minimax-m27-131k-tracestask210_logic2text_structured_text_generation
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task210_logic2text_structured_text_generation
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task210_logic2text_structured_text_generation.structured_imagesphased-self-discover-mistral-structured-5-shot-bbh-evalopenclassgen-structured-v1
OpenClassGen Structured v1
Derived from mrahman2025/OpenClassGen (Rahman et al. 2025, arXiv:2504.15564).
License: CC BY 2.0 (same as upstream). Keep repository_name and file_path when redistributing.
Underlying GitHub repos may carry additional software licenses.
gold_code is upstream human_written_code.
We add parsed fields, body-span indices, and a Variant-3 prompt/target pair (v3_prompt_text / v3_target_text).
No unit tests. Splits are repository-disjoint (train /… See the full description on the dataset page: https://huggingface.co/datasets/dhruveshpatel/openclassgen-structured-v1.cyber-evidence-kev-structured
Cyber Security Evidence Dataset — CISA KEV Structured CC0 Layer
This configuration is the structured CISA Known Exploited Vulnerabilities (KEV) layer of the broader Cyber Security Evidence Dataset project. It contains 1,687 deterministic records generated from the official CISA KEV database snapshot.
What is included
The records contain the official KEV database fields: CVE identifier, vendor/project, product, vulnerability name, short description, dates… See the full description on the dataset page: https://huggingface.co/datasets/frangelbarrera/cyber-evidence-kev-structured.tt-structured-content
Dataset Summary
This dataset contains structured textual content in Markdown format extracted from Tatar-language documents, originally in EPUB and PDF formats. The documents include books and other long-form content with rich formatting. The dataset is intended to provide clean, structured, and semantically meaningful content to support natural language processing tasks, content modeling, and research in Tatar language technologies.
The extracted Markdown preserves key… See the full description on the dataset page: https://huggingface.co/datasets/yasalma/tt-structured-content.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/NewCarbon37/structured-wikipedia.task128_scan_structured_text_generation_command_action_short
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task128_scan_structured_text_generation_command_action_short
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task128_scan_structured_text_generation_command_action_short.Toucan-1.5M-structured-Qwenstructured-vitalsTCGA_Reports_ja_structured-filtered
🧠 TCGA 日本語翻訳・構造化データセット
このデータセットは、The Cancer Genome Atlas (TCGA) により公開された英語の病理報告書をもとに、大規模言語モデル（LLM）を用いて 日本語翻訳 および 情報抽出による構造化 を行ったものです。
📘 概要
原データ：
Mendeley Data — TCGA Pathology Reports (Version 1)https://data.mendeley.com/datasets/hyg5xkznpx/1
本データセットは上記を基にし、以下の2種類の加工を行っています。
カラム名
内容
生成方法
question_en
英語の病理報告書原文
TCGA オリジナル
question_ja
英語報告書の日本語訳
LLMによる翻訳
answer_ja
構造化データ（JSON形式）
LLMによる情報抽出
🧾 データ構成… See the full description on the dataset page: https://huggingface.co/datasets/morizon/TCGA_Reports_ja_structured-filtered.terminal_bench_2_a3_rl_laion_nemotron_gym_instruction_following_structured_75_8B_25b4cef3dtask1566_propara_structured_text_generation
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1566_propara_structured_text_generation
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1566_propara_structured_text_generation.task130_scan_structured_text_generation_command_action_long
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task130_scan_structured_text_generation_command_action_long
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task130_scan_structured_text_generation_command_action_long.omnimcp_browser_dom_structured_extractor_teaser
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📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_browser_dom_structured_extractor_teaser.structured_paper_summarization
structured_paper_summarization
A 151 k‑example dataset of chat‐style prompt → structured abstract pairs, built from ~19 000 research papers across business, management, information‑systems and social‑science domains. Each example shows the full paper (body text) being summarised into a five‑section Emerald‑style structured abstract (Purpose, Design/methodology/approach, Findings, Practical implications, Originality/value).
Why this dataset?
Large‑language models… See the full description on the dataset page: https://huggingface.co/datasets/Neooooo/structured_paper_summarization.dev_set_v2_a3_rl_laion_nemotron_gym_instruction_following_structured_75_8B_20260825_181735CaSSA-catalan-structured-sentiment-analysis
Dataset Card for CaSSA, the Catalan Structured Sentiment Analysis dataset
Dataset Summary
The CaSSA dataset is a corpus of 6,400 reviews and forum messages annotated with polar expressions. Each piece of text is annotated with all the expressions of polarity that it contains. For each polar expression, we annotated the expression itself, the target (the object of the expression), and the source (the subject expressing the sentiment). 25,453 polar expressions have been… See the full description on the dataset page: https://huggingface.co/datasets/projecte-aina/CaSSA-catalan-structured-sentiment-analysis.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/surucu35/structured-wikipedia.economic-index-structured
Economic Index - Structured & Cleaned Dataset
This dataset is a cleaned, structured version of the Anthropic Economic Index, organized for easy integration with persona-based scenario generation pipelines.
Dataset Description
The Anthropic Economic Index tracks how people use Claude AI for work-related tasks. This structured version extracts and organizes the key information into easy-to-use tables.
Original Data Period: August 4-11, 2025Source: Anthropic Economic… See the full description on the dataset page: https://huggingface.co/datasets/seeaman/economic-index-structured.