Datasets:
Mermaid Expert Corpus 500k
Mermaid Expert Corpus 500k is a validated, deduplicated, metadata-rich text-to-Mermaid dataset for companies building, training, evaluating, or benchmarking diagram-generation systems.
This package contains the full 500,000-record accepted corpus and rendered SVG artifacts for every accepted record.
Licensing inquiries: corefidelity@proton.me
Public 1,000-record sample: CoreFidelity/Mermaid_500k_1KSample
Repository access is gated and granted only to licensed users.
Visual Examples
Representative examples from the corpus:
| Diagram type | Domain | Mermaid source | Rendered SVG |
|---|---|---|---|
| Flowchart | auth/identity | flowchart_145698.mmd |
|
| ER | finance operations | er_008810.mmd |
|
| Sequence | auth/identity | sequence_056143.mmd |
|
| Class | ecommerce | class_654245.mmd |
|
| State | auth/identity | state_092222.mmd |
|
| Architecture | observability | architecture_039411.mmd |
Quick Statistics
accepted records 500,000
diagram modalities 6
software/system domains 15
template families 82
rendered SVGs 500,000
Sample Row
A representative flat viewer row:
{
"id": 56143,
"diagram_type": "sequence",
"domain": "auth_identity",
"subdomain": "auth_login_seq",
"complexity_tier": "intermediate",
"template_name": "auth_login_seq",
"description": "We need to map out the user login flow. The Mobile App sends login credentials to the Authn service. The Authn service then queries the Identity DB to look up the user. If the password is valid, the Authn service issues an access token back to the Mobile App; otherwise, it returns a 401 Unauthorized error.",
"mermaid": "sequenceDiagram\n autonumber\n actor C as Mobile App\n participant A as Authn service\n participant D as Identity DB\n C->>A: Login {credentials}\n A->>D: Lookup user\n D-->>A: User record\n alt Valid password\n A-->>C: Issue access token\n else Invalid password\n A->>C: 401 Unauthorized\n end",
"svg_path": "examples/sequence_056143.svg"
}
License Required
No use of this full dataset is permitted without a paid license.
Once licensed, licensees may use the dataset broadly for commercial and internal purposes, including model training, model evaluation, benchmarking, product integration, documentation automation, developer tooling, and derivative dataset workflows, subject to the written license agreement.
See LICENSE for the package terms and contact corefidelity@proton.me for licensing.
Package Contents
500k_full/
README.md
LICENSE
manifest.json
records.jsonl
viewer.jsonl
index.csv
examples/
svgs/
Notes:
records.jsonlcontains the 500,000 validated accepted records.viewer.jsonlis a flat Hugging Face Dataset Viewer split with core fields and SVG paths.index.csvis a lightweight browsing index with ids, diagram metadata, validation flags, Mermaid/description sizes, coverage tags, and SVG paths.examples/contains six representative SVG, Mermaid, and compact JSON examples.svgs/contains rendered SVGs for the accepted records.- In this working copy,
records.jsonlis hard-linked from the canonical accepted JSONL file to avoid duplicating the 2 GB record file.
Accepted Corpus Size
accepted records 500,000
rendered SVGs 500,000
diagram types 6
commercial domains 15
template families 82
Diagram Type Distribution
flowchart 159,727
er 105,371
sequence 85,207
class 53,220
state 50,824
architecture 45,651
Difficulty Distribution
expert 193,533
advanced 189,917
intermediate 68,809
principal 44,012
basic 3,729
Domain Coverage
The corpus spans practical software and system-design domains, including:
- ecommerce
- auth and identity
- data platforms
- messaging and streaming
- distributed systems
- DevOps and CI/CD
- ML infrastructure
- observability
- finance operations
- payments
- security
- cloud architecture
- enterprise SaaS
- healthcare operations
- support operations
Top domain counts:
ecommerce 90,480
auth_identity 83,767
data_platforms 50,423
messaging_streaming 50,111
distributed_systems 49,754
devops_ci_cd 47,672
ml_infrastructure 40,460
observability 27,632
finance_ops 19,754
payments 18,191
security 9,587
cloud_architecture 4,347
enterprise_saas 4,076
healthcare_ops 1,936
support_ops 1,810
What The Dataset Is For
The full corpus is designed for companies that need high-quality Mermaid generation data across real software documentation and system-design use cases:
- fine-tuning text-to-diagram models
- training Mermaid-generation models
- evaluating Mermaid syntax and semantic quality
- building diagram-type routers and prompt classifiers
- constructing benchmark and eval suites
- curriculum training by diagram type, domain, and difficulty
- developer-tool and documentation-automation workflows
- synthetic data augmentation for software and systems documentation
Quality And Validation
The accepted corpus has been filtered and audited for:
- parse/render-valid Mermaid
- exact Mermaid duplicate removal
- exact prompt/description duplicate removal
- structural near-duplicate filtering
- artifact and broken-text detection
- metadata-rich slicing by diagram type, domain, difficulty tier, and template family
- filtering provenance through the build pipeline
Final accepted-corpus audit:
accepted records 500,000
exact Mermaid duplicate clusters 0
exact prompt duplicate clusters 0
structural near-duplicate clusters 0
artifact records 0
SVG audit:
rendered SVG files 500,000
failed SVG renders 0
Release Integrity
The licensed corpus is distributed as clean training/evaluation data.
It does not include watermark strings, canary records, trap examples, poisoned samples, or intentionally degraded records. The accepted release is intended to be directly usable for model training, evaluation, and benchmark construction without hidden compromise mechanisms.
Dataset access and commercial rights are controlled through licensing rather than embedded watermark/canary contamination.
Record Format
Records are JSONL. Field sets vary by diagram type, but records generally include:
- stable record id
- diagram type
- domain
- complexity tier
- template family
- natural-language prompt/description
- Mermaid source
- diagram-specific metadata
- quality/filtering provenance
The schema is intentionally metadata-rich so buyers can slice the corpus by modality, commercial domain, difficulty tier, template family, and workflow type.
Licensing
This full dataset is a commercial data product. No inspection, copying, redistribution, model training, evaluation, product integration, commercial implementation, or other use is permitted unless a paid license has been granted.
Paid licensees may use the dataset broadly according to their written license agreement.
Licensing contact: corefidelity@proton.me
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