datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
open-schematics
Open Schematics Dataset
The largest dataset of electronic schematics and PCB layouts on the internet, built as an engineering reference for schematic and PCB layout work. It's a self-growing, autonomous dataset that continuously scans the web for new engineering designs and updates itself accordingly.
Dataset Description
Each record corresponds to one schematic file and includes the raw source, rendered images, structured metadata, and all associated PCB files… See the full description on the dataset page: https://huggingface.co/datasets/bshada/open-schematics.open-schematics
Open Schematics Dataset
A comprehensive dataset of electronic schematics from hardware projects. This dataset is designed for training AI models on circuit design, component recognition, and hardware engineering tasks.
Dataset Description
This dataset contains electronic schematic files along with their visual representations, component information, and metadata from various hardware projects.
Dataset Structure
Each record in the dataset contains:
schematic:… See the full description on the dataset page: https://huggingface.co/datasets/Colt45en/open-schematics.open-schematics
Open Schematics Dataset
A comprehensive dataset of electronic schematics from hardware projects. This dataset is designed for training AI models on circuit design, component recognition, and hardware engineering tasks.
Dataset Description
This dataset contains electronic schematic files along with their visual representations, component information, and metadata from various hardware projects.
Dataset Structure
Each record in the dataset contains:
schematic:… See the full description on the dataset page: https://huggingface.co/datasets/Joseferrera24/open-schematics.open-schematics
Open Schematics Dataset
A comprehensive dataset of electronic schematics from hardware projects. This dataset is designed for training AI models on circuit design, component recognition, and hardware engineering tasks.
Dataset Description
This dataset contains electronic schematic files along with their visual representations, component information, and metadata from various hardware projects.
Dataset Structure
Each record in the dataset contains:
schematic:… See the full description on the dataset page: https://huggingface.co/datasets/Ju-C/open-schematics.open-schematics
Open Schematics Dataset
A comprehensive dataset of electronic schematics from hardware projects. This dataset is designed for training AI models on circuit design, component recognition, and hardware engineering tasks.
Dataset Description
This dataset contains electronic schematic files along with their visual representations, component information, and metadata from various hardware projects.
Dataset Structure
Each record in the dataset contains:
schematic:… See the full description on the dataset page: https://huggingface.co/datasets/rifxyz/open-schematics.open-schematics
Open Schematics Dataset
A comprehensive dataset of electronic schematics from hardware projects. This dataset is designed for training AI models on circuit design, component recognition, and hardware engineering tasks.
Dataset Description
This dataset contains electronic schematic files along with their visual representations, component information, and metadata from various hardware projects.
Dataset Structure
Each record in the dataset contains:
schematic:… See the full description on the dataset page: https://huggingface.co/datasets/JasoHuangTaiwan/open-schematics.open-schematics
Open Schematics Dataset
A comprehensive dataset of electronic schematics from hardware projects. This dataset is designed for training AI models on circuit design, component recognition, and hardware engineering tasks.
Dataset Description
This dataset contains electronic schematic files along with their visual representations, component information, and metadata from various hardware projects.
Dataset Structure
Each record in the dataset contains:
schematic:… See the full description on the dataset page: https://huggingface.co/datasets/Strawberry015/open-schematics.open-schematics
Open Schematics Dataset
A comprehensive dataset of electronic schematics from hardware projects. This dataset is designed for training AI models on circuit design, component recognition, and hardware engineering tasks.
Dataset Description
This dataset contains electronic schematic files along with their visual representations, component information, and metadata from various hardware projects.
Dataset Structure
Each record in the dataset contains:
schematic:… See the full description on the dataset page: https://huggingface.co/datasets/GGGDDD1111/open-schematics.open-schematics
Open Schematics Dataset
A comprehensive dataset of electronic schematics from hardware projects. This dataset is designed for training AI models on circuit design, component recognition, and hardware engineering tasks.
Dataset Description
This dataset contains electronic schematic files along with their visual representations, component information, and metadata from various hardware projects.
Dataset Structure
Each record in the dataset contains:
schematic:… See the full description on the dataset page: https://huggingface.co/datasets/jarvisemitra/open-schematics.open-schematics
Open Schematics Dataset
A comprehensive dataset of electronic schematics from hardware projects. This dataset is designed for training AI models on circuit design, component recognition, and hardware engineering tasks.
Dataset Description
This dataset contains electronic schematic files along with their visual representations, component information, and metadata from various hardware projects.
Dataset Structure
Each record in the dataset contains:
schematic:… See the full description on the dataset page: https://huggingface.co/datasets/Bravo666126/open-schematics.danish-icl-schema-format-v3
danish-icl-json-v3
In-context-learning rows derived from jensjepsen/danish-json-grpo-v1. Each row
packs 1-5 worked examples into a single user turn, followed by a held-out
passage; the assistant turn is the answer for that passage. No instruction is
included, so both the schema and the output format have to be inferred from the
examples. Two axes vary per row and are held constant within a row: the schema
(134 field-sets) and the output format (10 renderers — JSON, key: value… See the full description on the dataset page: https://huggingface.co/datasets/jensjepsen/danish-icl-schema-format-v3.large-schema-text2sql-20k
Large-Schema Text-to-SQL (20K)
20,020 text-to-SQL examples whose median database schema has 95 tables.
Most text-to-SQL corpora hand the model a toy database. Spider averages about 5 tables per
database; BIRD is in the same range. Real analytics work does not look like that — it looks
like an ERP schema with 200 tables, 300 foreign keys, and eleven things called *_log, where
the hard part is not writing the JOIN but finding the two tables worth joining.
This dataset is that… See the full description on the dataset page: https://huggingface.co/datasets/VikramPal/large-schema-text2sql-20k.json-schema-instances-training-pool
JSON schema and instance training pool
Real JSON Schemas from the public collections named below, read at the pinned revisions given there,
each paired where possible with documents that satisfy it, laid out twice. Train on either layer or
on both.
pool.jsonl
Every source rewritten into one shape, 20004 rows, one JSON object per line, with these fields.
Field
What it holds
id
a row identifier unique within this file
prompt
the request a model would… See the full description on the dataset page: https://huggingface.co/datasets/Emulated-Inc/json-schema-instances-training-pool.task879_schema_guided_dstc8_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task879_schema_guided_dstc8_classification
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/task879_schema_guided_dstc8_classification.orbital-schemas
Orbital Schemas Dataset
Training data for OrbGen - a model that generates valid Orbital schemas (.orb files).
Dataset Structure
train: 142 examples
validation: 16 examples
test: 10 examples
Features
prompt: Natural language description of the desired schema
completion: Valid Orbital schema in JSON format
domain: Application domain (ecommerce, game, productivity, etc.)
complexity: Schema complexity (simple, medium, complex)
source: Source of the example… See the full description on the dataset page: https://huggingface.co/datasets/orbital-ai/orbital-schemas.m2mcent-mcp-schemas
🌐 M2MCent Agentic Services - MCP Schemas Dataset
🚀 Empowering Autonomous AI on Base L2
This dataset contains the JSON schemas for 1,005 microservices natively available on the M2MCent Network via the x402 V2 Protocol (EIP-3009).
It is specifically designed for instruction-tuning LLMs (like Llama-3, Mistral, Qwen) so they can autonomously discover, negotiate, and consume monetized API endpoints using gasless cryptocurrency settlements on the Base L2 network.… See the full description on the dataset page: https://huggingface.co/datasets/evozim/m2mcent-mcp-schemas.SCHEMA
Evidence-Grounded Biomedical Question Benchmark — Protein Domain / PathVQA-Enhanced
This dataset bundles two stratified, balanced subsets of an evidence-grounded
biomedical benchmark generated by lifting normalized knowledge-graph triples
(extracted by an upstream pubmed_graph literature pipeline) into five
complementary question formats. Each question is bound to a verbatim
supporting sentence from a source paper, gated by an evidence-strength
profile, and validated by a… See the full description on the dataset page: https://huggingface.co/datasets/XsF2001/SCHEMA.kafka_schema_registry_deadletter_triage_teaser
🚀 DataOps - Kafka Streaming, Schema Registry Incompatibility & Dead-Letter Triage (Evaluation Teaser)
⚡ Official Free Evaluation Teaser (50 Verified Multi-Turn Scenarios)🏆 Get the Full Production Package (166 Samples) & Commercial EULA on Gumroad:👉 DataOps - Kafka Streaming, Schema Registry Incompatibility & Dead-Letter Triage on Gumroad🏷️ Use coupon code LAUNCH20 for 20 € off at checkout!
📦 What is Inside the Full Production Package:
166 Verified FAANG… See the full description on the dataset page: https://huggingface.co/datasets/emgena/kafka_schema_registry_deadletter_triage_teaser.SchemaStress
SchemaStress
SchemaStress is a controlled synthetic benchmark for structured output reliability under schema constraints.
Dataset Summary
SchemaStress evaluates model behavior on schema-bounded structured tasks:
prompt-to-structured generation
invalid-candidate repair
validity reasoning support via error tags and paths
The benchmark focuses on outputs that must be parseable, schema-valid, and semantically coherent.
Supported Configs
form_easy: reimbursement… See the full description on the dataset page: https://huggingface.co/datasets/sigdelakshey/SchemaStress.danish-icl-schema-format-v1
danish-icl-json-v1
In-context-learning rows derived from jensjepsen/danish-json-grpo-v1. Each
row packs 1-5 worked examples sharing a JSON schema into a single user turn,
followed by a held-out passage; the assistant turn is the answer for that
passage. No instruction is included, so the schema and the output format have
to be inferred from the examples. In roughly half the rows the field names are
replaced by meaning-free symbols (alfa/beta/..., kat_a/..., f1/...,
foo/bar/...)… See the full description on the dataset page: https://huggingface.co/datasets/jensjepsen/danish-icl-schema-format-v1.danish-icl-schema-format-v2
danish-icl-json-v2
In-context-learning rows derived from jensjepsen/danish-json-grpo-v1. Each row
packs 1-5 worked examples into a single user turn, followed by a held-out
passage; the assistant turn is the answer for that passage. No instruction is
included, so both the schema and the output format have to be inferred from the
examples. Two axes vary per row and are held constant within a row: the schema
(134 field-sets) and the output format (8 renderers — JSON, key: value… See the full description on the dataset page: https://huggingface.co/datasets/jensjepsen/danish-icl-schema-format-v2.schemaset-1k
Schemaset-1K
by Sonset
1,000 preview rows available here. Full dataset on Gumroad.
Build datasets like this at https://sonset.dev
JSON Schema datasets on HuggingFace almost all cover the same ground. Types, required fields, maybe some nested objects. Models trained on them fall apart when they see a $ref chain, stacked if/then conditionals, or a recursive schema. They start inventing keywords.
68.8% of Schemaset-100K is L4 or L5. That's the stuff that breaks things.… See the full description on the dataset page: https://huggingface.co/datasets/sonset/schemaset-1k.wim-schema-org-wiki-articles
Dutch Wikipedia Aligned Articles aligned with Schema.org Classes
Dataset Version: 1.0 (2025-06-04)Point of Contact: UWV Netherlands (UWV organization on Hugging Face)License: CC BY-SA 4.0Dataset: UWV/wim_schema_org_wiki_articles
Dataset Description
This dataset provides alignments between Schema.org classes and relevant Dutch Wikipedia articles. Each Schema.org class from a processed subset is linked to up to 20 distinct Wikipedia articles, including their full text, a… See the full description on the dataset page: https://huggingface.co/datasets/UWV/wim-schema-org-wiki-articles.small-model-schema-gym
Small Model Schema Gym Dataset
Deterministically generated chat examples for first-pass JSON compliance on
the project Dream brief and Safety plan contracts.
Files
train.jsonl: 500 training examples.
validation.jsonl: 200 held-out examples.
manifest.json: counts, seed, provenance, and overlap check.
Each row contains:
{
"id": "stable example identifier",
"messages": [
{"role": "system", "content": "..."},
{"role": "user", "content": "..."}… See the full description on the dataset page: https://huggingface.co/datasets/KwabsHug/small-model-schema-gym.schema-org
Schema.org
Dataset Description
Vocabulary schemas for structured data on the web
Original Source: https://schema.org/version/latest/schemaorg-current-https.ttl
Dataset Summary
This dataset contains RDF triples from Schema.org converted to HuggingFace
dataset format for easy use in machine learning pipelines.
Format: Originally turtle, converted to HuggingFace Dataset
Size: 0.01 GB (extracted)
Entities: ~2K types
Triples: ~15K
Original License:
CC BY-SA 3.0… See the full description on the dataset page: https://huggingface.co/datasets/CleverThis/schema-org.open-schematics
Open Schematics Dataset
A comprehensive dataset of electronic schematics from hardware projects. This dataset is designed for training AI models on circuit design, component recognition, and hardware engineering tasks.
Dataset Description
This dataset contains electronic schematic files along with their visual representations, component information, and metadata from various hardware projects.
Dataset Structure
Each record in the dataset contains:
schematic:… See the full description on the dataset page: https://huggingface.co/datasets/dakhmatipcb/open-schematics.task880_schema_guided_dstc8_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task880_schema_guided_dstc8_classification
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/task880_schema_guided_dstc8_classification.llm-rag-optimized-schema-templates
Schema.org JSON-LD Templates Optimized for LLM RAG Retrieval (2026)
Curated dataset of Schema.org JSON-LD templates designed, tested, and optimized for Retrieval-Augmented Generation (RAG) systems, SearchGPT, Gemini, and Claude search parsers.
Published by Pixel Office EU.
Purpose
Standard Schema.org markup is often too nested or dense for token-efficient LLM context window ingestion. These templates prioritize high-salience fields that crawlers prioritize when… See the full description on the dataset page: https://huggingface.co/datasets/pixeloffice/llm-rag-optimized-schema-templates.type-schema-tools-calls
type-schema-tools-calls
Dataset for TypeSchema Tool Calling
schema-org-v1
Schema.org
Dataset Description
Vocabulary schemas for structured data on the web
Original Source: https://schema.org/version/latest/schemaorg-current-https.ttl
Dataset Summary
This dataset contains RDF triples from Schema.org converted to HuggingFace
dataset format for easy use in machine learning pipelines.
Format: Originally turtle, converted to HuggingFace Dataset
Size: 0.01 GB (extracted)
Entities: ~2K types
Triples: ~15K
Original License: CC BY-SA 3.0… See the full description on the dataset page: https://huggingface.co/datasets/Dabbu19/schema-org-v1.