datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
schemas
SQaLe — schemas
Unique database schemas and their synthetic contents, one row per schema.
The questions live in
cwolff/queries, joined on schema id.
These two columns were previously stored inline on every question row of
cwolff/data_work_in_progress.
With ~25 questions per schema that was a ~25x duplication of the largest columns
in the corpus; holding them once here is the entire point of the split.
Columns
column
schema id
join key into… See the full description on the dataset page: https://huggingface.co/datasets/cwolff/schemas.schemas_newschemas
KYE Protocol™ — JSON Schemas
Canonical JSON Schemas (Draft 2020-12) for every public KYE Protocol™
contract, mirrored here as a Hugging Face dataset for AI-tooling
discoverability. The source of truth is the GitHub repository.
Coverage
The schemas span the full KYE™ stack:
Profile
Schemas
KYE Core™
identity, authority, scope, state, capability, evidence, graph, signals
KYE Continuity Profile™
continuity-context, continuity-decision, intent-trace
KYE… See the full description on the dataset page: https://huggingface.co/datasets/KYE-Protocol/schemas.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.schemas_new2db-schemas-test
Dataset Card for db-schemas-test
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/mgfrantz/db-schemas-test/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/mgfrantz/db-schemas-test.schemas_new3SchemaStress
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.schemasage-sql-clean-text2sql
SchemaSage-SQL Clean Text-to-SQL Dataset
Dataset repo: rishhh/schemasage-sql-clean-text2sql
This dataset contains normalized SchemaSage-SQL supervised examples with a consistent schema/question/answer format. Destructive SQL targets are converted to explicit refusal examples, invalid SQL targets are removed, and answer SQL that references tables or columns absent from the provided schema is filtered.
Files
text2sql_train.jsonl
text2sql_validation.jsonl… See the full description on the dataset page: https://huggingface.co/datasets/rishhh/schemasage-sql-clean-text2sql.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.schema-summarization_spider
Dataset Card for schema-summarization_spider
Dataset Description
Dataset Summary
This dataset has been built to train and benchmark models uppon the schema-summarization task. This task aims to generate the smallest schema needed to answer a NL question with the help of the original database schema.
This dataset has been build by crossing these two datasets :
xlangai/spider
richardr1126/spider-schema
With the first dataset we take the natural language… See the full description on the dataset page: https://huggingface.co/datasets/avinot/schema-summarization_spider.pre-conceptual-schemas-alpacaPre-Conceptual Schemas Dataset in Alpaca Format
This repository contains the dataset used for fine-tuning the Phi-3.5-PCS-Finetuned model, designed for the interpretation of Pre-Conceptual Schemas (PCS).
The dataset is a result of the master's thesis project "Natural Language Processing in Pre-conceptual Schemas for Representing Knowledge by Using Large Language Models" from the Master's Degree in Systems and Computing Engineering at the University of Nariño.
Dataset Curators: Felipe Roa… See the full description on the dataset page: https://huggingface.co/datasets/Galerasnet/pre-conceptual-schemas-alpaca.weaviate-gorilla-schemasdataset-schemas-with-task-categoriesaif-command-schemas
AIF Command Schemas
Canonical JSON Schema definitions for all AIF commands, requests, and responses.
Schema Categories
Category
Count
Description
Agent
3
Agent lifecycle commands
Skill
2
Skill management operations
Workflow
4
DAG creation, execution, control
Policy
3
Governance rule definitions
Event
2
Event publication and subscription
Execution
3
Task dispatch and monitoring
Identity
2
Authentication and authorization… See the full description on the dataset page: https://huggingface.co/datasets/FrostyJay7813/aif-command-schemas.aif-memory-schemas
AIF Memory Schemas
Event sourcing schemas, memory type definitions, and persistence models for the AIF platform.
Memory Types
Type
Purpose
Schema
Semantic
Factual knowledge, concepts
Entity-Relation triples
Procedural
Skills, workflows, patterns
Step sequences with conditions
Episodic
Session history, interactions
Event streams with metadata
Organizational
Team structures, policies
Hierarchical role graphs
Event Sourcing Schema… See the full description on the dataset page: https://huggingface.co/datasets/FrostyJay7813/aif-memory-schemas.schemas-damenagement-et-de-gestion-de-leau-sage
Schémas d’aménagement et de gestion de l’eau (SAGE)
[!NOTE]
Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données Schémas d’aménagement et de gestion de l’eau (SAGE) qui est disponible à l'adresse https://www.data.gouv.fr/datasets/66719e12735d9874a8a76314
Description
Le schéma d’aménagement et de gestion de l’eau (SAGE) est un outil de planification, institué par la loi sur l'eau de 1992, visant la gestion équilibrée et… See the full description on the dataset page: https://huggingface.co/datasets/french-open-data/schemas-damenagement-et-de-gestion-de-leau-sage.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/javasop/orbital-schemas.schemas-embeddedbird_spider_schemasstackoverflow_survey_schemasparquet_schemasdefault-schemas-test