datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sounio-code-examples
Sounio Curated Code Examples
Curated compile-clean .sio examples for training and evaluating code models on
Sounio, a self-hosted systems and scientific programming language for epistemic
computing, uncertainty propagation, and algebraic effects.
This directory is the Cx-1 expansion lane for
chiuratto-AIgourakis/sounio-code-examples.
Current batch
Examples: 5,000
Metadata files: 5,000
Compiler gate: bin/souc check pass rate 5,000/5,000
Utility layer: 5,000… See the full description on the dataset page: https://huggingface.co/datasets/chiuratto-AIgourakis/sounio-code-examples.opengloss-v1.3-query-examples-flat
See also OpenGloss v2.1 (2026-09-07): a deeper release of 109,633 of these headwords — sense-level ids, four reading levels, sense-tagged examples with spans, a judged relation graph, and retrieval supervision — published as a 16-dataset family. v1.3 remains the broader headword list.
OpenGloss Query Examples v1.3 (Flattened)
Dataset Summary
OpenGloss Query Examples is a synthetic dataset of search queries generated for vocabulary
terms. Each term has multiple… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v1.3-query-examples-flat.flutter-full-examples-v1
Flutter Codegen: Full Examples
Synthetic dataset of complete Flutter/Dart widgets, each paired with the goal
that describes them and (optionally) starting code. Unlike flutter-codegen-diff-steps,
there's no step history or diff structure here -- each row is a single, standalone
goal -> complete file example.
This is the whole-code counterpart to flutter-diff-steps-v1, intended for
training/evaluating a baseline that generates the entire file in one shot, to
compare against the… See the full description on the dataset page: https://huggingface.co/datasets/bbidpa/flutter-full-examples-v1.synthetic-abandoned-cart-email-examples
Synthetic Abandoned Cart Email Examples
An entirely synthetic, bilingual collection of abandoned-cart email drafts with transparent checklist annotations. It is intended for education, prototyping, and evaluation, and contains no real recipients, customer messages, orders, merchant data, or campaign results.
Dataset Description
The dataset mirrors the five visible checks in NeuroCheckout's public Abandoned Cart Email Checker:
message clarity;
primary call to… See the full description on the dataset page: https://huggingface.co/datasets/neurocheckout-ai/synthetic-abandoned-cart-email-examples.dictation-cleanup-examples
Dictation cleanup examples
A sample of the hand-written cases behind
SpeakoFlow Mini, published so the
conventions the model follows are inspectable rather than described.
Seven cases in each of fifteen categories, spread across short, medium and long transcripts.
Every case was written by hand. None of it is captured speech.
This is not a benchmark
Read that before using it for anything.
These cases are drawn from the training pool, not from the held-out set the… See the full description on the dataset page: https://huggingface.co/datasets/SpeakoFlow/dictation-cleanup-examples.opengloss-v1.3-contrastive-examples
See also OpenGloss v2.1 (2026-09-07): a deeper release of 109,633 of these headwords — sense-level ids, four reading levels, sense-tagged examples with spans, a judged relation graph, and retrieval supervision — published as a 16-dataset family. v1.3 remains the broader headword list.
OpenGloss Contrastive Examples v1.3
Dataset Summary
OpenGloss Contrastive Examples is a synthetic dataset of graduated semantic variations
designed for contrastive learning and… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v1.3-contrastive-examples.SwiftUI-Code-Examples
SwiftUI Code Solutions
Dataset Created by MCES10 Software has SwiftUI Code Problems and can be used for AI training for Code Generation
Recommendations
Train your LLM on the Swift and SwiftUI Framework Syntax before training it this
Fine Tune or Train Effectively at optimal Epochs and Learning Rates
Use the whole dataset for training
Your Model may need to be Prompt Tuned for the best performance but it isn't required.
Use test when testing or trialing the dataset
Use… See the full description on the dataset page: https://huggingface.co/datasets/MCES10-Software/SwiftUI-Code-Examples.opengloss-v1.3-query-examples
See also OpenGloss v2.1 (2026-09-07): a deeper release of 109,633 of these headwords — sense-level ids, four reading levels, sense-tagged examples with spans, a judged relation graph, and retrieval supervision — published as a 16-dataset family. v1.3 remains the broader headword list.
OpenGloss Query Examples v1.3
Dataset Summary
OpenGloss Query Examples is a synthetic dataset of search queries generated for vocabulary
terms. Each term has multiple query… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v1.3-query-examples.literary-genre-examples
Literary Genre Dataset
This dataset contains a curated list of 86 fiction and nonfiction genres, each accompanied by a representative example paragraph. The example texts illustrate the typical tone, writing style, and content characteristics for each genre.
Genres Covered: 86 total, spanning popular and niche categories in both fiction and nonfiction.
Genre Types: Marked as either Fiction or Nonfiction.
Example Paragraphs: Each genre includes a sample paragraph written to capture… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/literary-genre-examples.code-examples
MongoDB Code Examples
This dataset contains code examples of using MongoDB technologies. These code examples come from the
MongoDB documentation and developer blog.
The dataset is updated regularly to stay relatively up-to-date with the latest published content.
Schema
The dataset includes the code example text and useful metadata for working with the code examples. Every code example in the dataset includes the following:
export interface CodeExampleDatasetEntry… See the full description on the dataset page: https://huggingface.co/datasets/mongodb-eai/code-examples.omni-rewriter-pe-examples
Omni-Rewriter PE examples
Validated prompt-expansion envelopes for Omni-Rewriter. These are prompts, not generated videos.
pip install omni-rewriter
omni-rewriter validate fixtures/t2va_kite.json
Layout
Path
What
fixtures/
Small H3 / image PE envelopes from the repo tests
fixtures/seedance/
Seedance PE profile examples (PE only; no Seedance generate)
observation/
VideoObservation JSON for omni-rewriter reconstruct --from-observation
reconstruct/… See the full description on the dataset page: https://huggingface.co/datasets/Wayne-King/omni-rewriter-pe-examples.nanochat-wasm-examples
WASM Coprocessor Pretraining Examples
Synthetic training data for models that learn to invoke a WebAssembly coprocessor
to solve computational tasks. Each example pairs a natural-language question with
a WASM bytecode program that solves it.
Schema
Column
Type
Description
text
string
Human-readable representation (question + WASM program + answer)
input_ids
list[int]
Pre-tokenized sequence with text tokens (0-65535) and WASM tokens (65536+)
category
string… See the full description on the dataset page: https://huggingface.co/datasets/eastlondoner/nanochat-wasm-examples.hardware-cvdp-examples
hardware-cvdp-examples
CVDP Example Problems - 5 comprehensive hardware design problems
Dataset Overview
This dataset is part of a comprehensive collection of hardware design datasets for training and evaluating LLMs on Verilog/SystemVerilog code generation and hardware design tasks.
Files
cvdp_problems.json: 5 CVDP example problems with full content
analysis.json: Analysis of CVDP problems
Usage
from datasets import load_dataset
# Load the… See the full description on the dataset page: https://huggingface.co/datasets/AbiralArch/hardware-cvdp-examples.opengloss-v1.1-contrastive-examples
OpenGloss Contrastive Examples v1.1
Dataset Summary
OpenGloss Contrastive Examples is a synthetic dataset of graduated semantic variations
designed for contrastive learning and semantic similarity training. Each example contains
a source sentence and a 5-point semantic gradient showing how meaning shifts from
antonym to synonym poles.
This dataset is derived from the OpenGloss
encyclopedic dictionary, using example sentences and their lexical context to generate… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v1.1-contrastive-examples.worked-examples-gsm8k-v0
Worked Examples + Faded Scaffolds (GSM8K smoke pack)
Built from openai/gsm8k (main) for continued pretraining ablations.
Arms
Path
Description
rms/bare/docs.jsonl
problem + final answer only
rms/complete/docs.jsonl
full step-by-step solution
rms/fade_ordered/docs.jsonl
decreasing scaffold length (ordered)
rms/fade_shuffled/docs.jsonl
same fade multiset, shuffled within family
okenized//shard-00000.npy
dolma2-tokenized shards for training… See the full description on the dataset page: https://huggingface.co/datasets/hiyasvyas/worked-examples-gsm8k-v0.sui-lang-examples
Sui lang examples
Simple examlpes of the Sui language.https://github.com/TakatoHonda/sui-lang
The sui codes are generated with gpt-oss 20b.
aether-build-protocol-examples
Aether Build Protocol Examples
Aether Build Protocol Examples is a small public dataset of machine-readable physical build intent artifacts.
It is designed for AI developers, agent-framework builders, CAD/design workflows, fabrication review systems, and researchers studying machine-to-machine physical transaction protocols.
GitHub source of truth:
https://github.com/chevy155/Aether-build-protocol
Live demo:
https://huggingface.co/spaces/lonestar155/aether-cad-to-agent-sandbox
Open… See the full description on the dataset page: https://huggingface.co/datasets/lonestar155/aether-build-protocol-examples.radon-examples
radon-examples
Description
Usage examples and expected responses for RADON model with Russian and English samples
Usage
Load Dataset
from datasets import load_dataset
dataset = load_dataset("MagistrTheOne/radon-examples")
print(dataset)
Use with RADON Model
from transformers import AutoModelForCausalLM, AutoTokenizer
# Load RADON model
model = AutoModelForCausalLM.from_pretrained("MagistrTheOne/RadonSAI")
tokenizer =… See the full description on the dataset page: https://huggingface.co/datasets/MagistrTheOne/radon-examples.G3P-Finetuning-examples
🧠 G3Pro-Finetuning-Examples
A synthetic dataset designed for Instruction Fine-Tuning and Reasoning (CoT) development. Generated using the Gemini 3 Pro preview model, this dataset focuses on technical tasks, complex configurations, and logical step-by-step problem-solving.
📊 Dataset Summary
Feature
Details
Version
v1.4
License
MIT License
Languages
Russian (ru), English (en)
Size
3,898 records (~13 MB)
Primary Task
Instruction Following & Reasoning… See the full description on the dataset page: https://huggingface.co/datasets/Losa10/G3P-Finetuning-examples.opengloss-v1.2-query-examples-flat
OpenGloss Query Examples v1.2 (Flattened)
Dataset Summary
OpenGloss Query Examples is a synthetic dataset of search queries generated for vocabulary
terms. Each term has multiple query profiles covering different search intents and user personas,
making it ideal for training query generation, intent classification, and RAG systems.
This dataset contains flattened profile records (one per query).
It is derived from the OpenGloss
encyclopedic dictionary.
Key… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v1.2-query-examples-flat.opengloss-v1.2-contrastive-examples
OpenGloss Contrastive Examples v1.2
Dataset Summary
OpenGloss Contrastive Examples is a synthetic dataset of graduated semantic variations
designed for contrastive learning and semantic similarity training. Each example contains
a source sentence and a 5-point semantic gradient showing how meaning shifts from
antonym to synonym poles.
This dataset is derived from the OpenGloss
encyclopedic dictionary, using example sentences and their lexical context to generate… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v1.2-contrastive-examples.opengloss-v1.1-query-examples
OpenGloss Query Examples v1.1 (Flattened)
Dataset Summary
OpenGloss Query Examples is a synthetic dataset of search queries generated for vocabulary
terms. Each term has multiple query profiles covering different search intents and user personas,
making it ideal for training query generation, intent classification, and RAG systems.
This dataset contains flattened profile records (one per query).
It is derived from the OpenGloss
encyclopedic dictionary.
Key… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v1.1-query-examples.opengloss-v1.2-query-examples
OpenGloss Query Examples v1.2
Dataset Summary
OpenGloss Query Examples is a synthetic dataset of search queries generated for vocabulary
terms. Each term has multiple query profiles covering different search intents and user personas,
making it ideal for training query generation, intent classification, and RAG systems.
This dataset contains word-level records with nested profiles.
It is derived from the OpenGloss
encyclopedic dictionary.
Key Statistics
21… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v1.2-query-examples.celestial-tool-calling-examples-v2
CELESTIAL Tool Calling Examples Dataset
Dataset Description
This dataset is part of the CELESTIAL spiritual AI platform, designed for training Mistral-7B models on spiritual and astrological guidance tasks.
Dataset Summary
Total Examples: 2000
Categories: tool_calling
Languages: English, Hindi (transliterated)
Format: Conversational format with tool calling examples
Dataset Structure
{
"messages": [
{"role": "user", "content": "User message"}… See the full description on the dataset page: https://huggingface.co/datasets/dp1812/celestial-tool-calling-examples-v2.OpenVerification1_aux_adaptation_examples
Dataset Card for ReexpressAI/OpenVerification1_aux_adaptation_examples
This is additional data as part of ReexpressAI/OpenVerification1. The data fields are slightly different for this data source, so we include this as a separate dataset.
This is example output from the Reexpress MCP Server when using the ReexpressAddTrue, ReexpressAddFalse, or ReexpressAddOOD tools. These are the lines that get saved to the adaptation/running_updates.jsonl file in the model directory.
Refer to… See the full description on the dataset page: https://huggingface.co/datasets/ReexpressAI/OpenVerification1_aux_adaptation_examples.preset-examplescompliance-policy-examples
compliance-policy-examples
Structured examples of FERPA, HIPAA, GDPR, CCPA, GLBA, and SOC 2 policy patterns
with Python code implementations from the
Open Regulated AI Trilogy.
Purpose
This dataset provides concrete, executable policy pattern examples for AI engineers
building regulated enterprise AI systems. Each example maps a compliance requirement
to a Python implementation using the regulated-ai-governance and
enterprise-rag-patterns libraries.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/ashuenterprise/compliance-policy-examples.ruby-code-examplesThis is a dataset for AI training. The data consists of Ruby functions generated with synthetic data, including the name, description, code, usage, and output.
Over 5,000 functions have been synthetically created.
Each of the 5,000 functions has been executed and is valid.
intentspec-examples
IntentSpec Examples
Synthetic examples showing how raw product evidence can be transformed into agent-ready IntentSpecs.
Each row contains customer evidence, a weak implementation prompt, and a stronger structured IntentSpec with objective, outcomes, constraints, and edge cases. The examples are designed to teach the difference between asking an AI coding agent to perform a task and giving it the product intent it should preserve while building.
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/pathmode/intentspec-examples.date-arithmetic-incorrect-examples
Date Arithmetic Incorrect Examples
Overview
This dataset presents incorrect predictions made by Qwen/Qwen3.5-0.8B-Base on a focused set of date-arithmetic and calendar-reasoning questions. The goal is to provide a compact, high-signal collection of failure cases that makes it easier to study where a small base language model struggles with temporal reasoning.
The examples center on tasks such as weekday identification, date offsets, counting days between dates… See the full description on the dataset page: https://huggingface.co/datasets/rabeya-akter/date-arithmetic-incorrect-examples.