datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.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.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.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.