Synthetic data
Plateau · emerged December 2020 · high April 2025 · -42% on the month before · 4 mentions on Trending in 14 days
Training and evaluation data generated by models or simulators instead of collected from people. Named by Wang et al., University of Washington: Self-Instruct: Aligning Language Models with Self-Generated Instructions (Dec 20, 2022). Also called Synthetic datasets, Model-generated data, Self-instruct.
Index 0 to 100, monthly
Signals
Hacker News stories, last 12 months40 stories, -37% on the 12 months before
arXiv papers, last 12 months559 papers, -17% on the 12 months before
Wikipedia views, October 20262,347, -21% on a year beforeAgainst its high-43% from the high of April 2025
Product releases naming it2 since Feb 19, 2026GitHub repositories19,910| Signal | Reads as | |
|---|---|---|
| Hacker News stories, last 12 months40 stories, -37% on the 12 months before | 40 stories, -37% on the 12 months before | Decline |
| arXiv papers, last 12 months559 papers, -17% on the 12 months before | 559 papers, -17% on the 12 months before | Decline |
| Wikipedia views, October 20262,347, -21% on a year before | 2,347, -21% on a year before | Decline |
| Against its high-43% from the high of April 2025 | -43% from the high of April 2025 | Decline |
| Product releases naming it2 since Feb 19, 2026 | 2 since Feb 19, 2026 | Adoption |
| GitHub repositories19,910 | 19,910 | Adoption |
Companies
Releases
2 releases since Feb 19, 2026| Name | |
|---|---|
| Sep 22, 20267 weeks ago | |
| Aug 1, 20263 months ago |
Papers
GitHub projects
19,910 repositoriesKiln-AI/KilnBuild, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and Belval/TextRecognitionDataGeneratorA synthetic data generator for text recognitionsdv-dev/SDVSynthetic data generation for tabular dataargilla-io/distilabelDistilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified hitsz-ids/synthetic-data-generatorSDG is a specialized framework designed to generate high-quality structured tabular data.NVIDIA-NeMo/DataDesigner🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
| Name | Stars | |
|---|---|---|
| Kiln-AI/KilnBuild, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and · Jul 23, 2024 2 years ago | Jul 23, 20242 years ago | 5,247 |
| Belval/TextRecognitionDataGeneratorA synthetic data generator for text recognition · Jul 1, 2017 9 years ago | Jul 1, 20179 years ago | 3,699 |
| sdv-dev/SDVSynthetic data generation for tabular data · May 11, 2018 8 years ago | May 11, 20188 years ago | 3,589 |
| argilla-io/distilabelDistilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified · Oct 16, 2023 3 years ago | Oct 16, 20233 years ago | 3,445 |
| hitsz-ids/synthetic-data-generatorSDG is a specialized framework designed to generate high-quality structured tabular data. · Aug 10, 2023 3 years ago | Aug 10, 20233 years ago | 2,441 |
| NVIDIA-NeMo/DataDesigner🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data. · Oct 16, 2025 1 year ago | Oct 16, 20251 year ago | 2,383 |
Related movements
Small language modelsCompact models, a few billion parameters or less, trained to be good enough and cheap to run anywhere.Reasoning modelsModels trained with reinforcement learning to think step by step, spending more compute at answer time.LLMOps and evalsMeasuring, tracing and monitoring model-backed software: eval suites, LLM observability and prompt management.
| Movement | Stage |
|---|---|
| Small language modelsCompact models, a few billion parameters or less, trained to be good enough and cheap to run anywhere. | Rising |
| Reasoning modelsModels trained with reinforcement learning to think step by step, spending more compute at answer time. | Peak |
| LLMOps and evalsMeasuring, tracing and monitoring model-backed software: eval suites, LLM observability and prompt management. | Peak |
History
Stage changed from declining to plateau
Tracking started: emerged December 2020, declining, 3 other names recorded
| Date | What changed |
|---|---|
| Oct 2, 2026 | Stage changed from declining to plateau |
| Sep 24, 2026 | Tracking started: emerged December 2020, declining, 3 other names recorded |
Sources: Curve: Hacker News story titles, Wikipedia pageviews and arXiv papers by month, refreshed Nov 1, 2026. Related entities from the other Glyph Ibis sources' public APIs, matched by name. How stages work.