README.md

metadata

language:
  - en
license: cc-by-4.0
task_categories:
  - text-generation
pretty_name: The Forge
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/parquet/*.parquet
tags:
  - reasoning
  - step-by-step-explanations
  - mathematics
  - science
  - programming
  - cybersecurity
  - defensive-cybersecurity
  - artificial-intelligence
  - machine-learning
  - education
  - instruction-tuning
  - synthetic-data
  - supervised-fine-tuning
  - evaluation
  - english

The Forge

The Forge is an English educational reasoning dataset project owned and maintained by TokenAI. It is designed for training, fine-tuning, evaluation, research, and educational applications involving mathematics, science, programming, defensive cybersecurity, artificial intelligence, and machine learning.

Dataset description

Property	Value
Owner	TokenAI
Project date	1 November 2026
Dataset size	50,000 records
Primary language	English
Domains	Mathematics, science, programming, defensive cybersecurity, artificial intelligence, and machine learning
License	Creative Commons Attribution 4.0 International (CC BY 4.0)

Dataset structure

The dataset is provided as JSONL records in the data/ directory. Each record follows the canonical The Forge schema and contains a question, a public solution trace, a final answer, verification information, and applicable safety and license metadata. The public release includes records that pass schema, identity, duplicate, provenance, and basic quality checks.

External-source attribution

The Forge includes reviewed material prepared through TokenAI's documented generation and data-review workflow. Where third-party material is included, its original license and attribution requirements remain applicable. Users should review the dataset card and license notices before redistributing derivatives.

Intended use

The dataset is intended for:

supervised fine-tuning and instruction tuning, reasoning and solution- explanation evaluation, educational assistants and tutoring research, mathematics, science, programming, artificial intelligence, and machine learning research, defensive cybersecurity education and safety-oriented analysis, and dataset-quality, provenance, and synthetic-data research.

Domains

The dataset covers the following domains:

Domain	Coverage
Mathematics	Algebra, geometry, probability, calculus, number theory, linear algebra, and discrete mathematics
Science	Physics, chemistry, biology, earth science, astronomy, experiments, and measurement
Programming	Algorithms, data structures, debugging, systems, SQL, APIs, testing, and performance
Cybersecurity	Defensive analysis, secure coding, threat modeling, incident response, IAM, monitoring, and triage

AI and ML are cross-cutting topics and may appear across the science, programming, and reviewed future tranches.

Data format

The canonical unit is one validated JSONL record. A complete record contains a learner-facing question, a public solution trace, a final answer, verification information, and provenance metadata. A prompt/completion view may be derived for a specific training framework, but the canonical dataset count is based on complete validated records.

Conceptual fields include:

{
  "id": "the-forge-000001",
  "domain": "mathematics",
  "topic": "algebra",
  "difficulty": "intermediate",
  "question": "...",
  "solution_trace": "...",
  "answer": "...",
  "verification": "...",
  "safety_notes": "",
  "source": "TokenAI original",
  "license": "CC BY 4.0"
}

The public solution_trace is a learner-facing explanation of the steps required to solve the problem. It is not a disclosure of hidden private chain-of-thought, system prompts, provider metadata, or confidential model deliberation.

Generation and provenance

The TokenAI-generated tranche is produced through an authorized generation and review workflow. Public records are model-agnostic: they intentionally omit generating-model names, checkpoint identifiers, provider identifiers, server addresses, API credentials, and private prompts.

External datasets are not included in this release unless they have been independently reviewed, converted to the official The Forge schema, deduplicated, and documented with their original license and attribution requirements. Third-party material is never silently relicensed as TokenAI-owned material.

Cybersecurity safety

Cybersecurity content is restricted to defensive and authorized educational use. It may cover threat modeling, secure configuration, detection, logging, incident response, access control, vulnerability interpretation, and remediation. The dataset must not be used to facilitate unauthorized access, credential theft, persistence, evasion, destructive activity, or harmful operational payloads.

Limitations

Generated examples can contain mathematical, scientific, factual, programming, or security-analysis errors. Verification fields improve auditability but do not guarantee correctness. Users should validate examples for their target model, domain, jurisdiction, and deployment context before training or publication.

The dataset is English-focused and may not represent all educational styles, cultures, disciplines, or levels of expertise. Domain balance does not imply equal difficulty or equal real-world coverage.

License and ownership

TokenAI-controlled original records and project materials are released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. The license permits copying, redistribution, adaptation, training, fine-tuning, evaluation, and research, provided that appropriate attribution is given, a link to the license is included, and changes are indicated.

Third-party records, if added in a future composite release, retain their upstream licenses and attribution requirements. Users must inspect the per-record or per-source license metadata before using composite content.

Citation

@dataset{tokenai_the_forge_2026,
  author = {TokenAI},
  title = {The Forge},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/tokenaii/the-forge},
  note = {English educational reasoning dataset project}
}

Links and contact

Company website: tokenai.llc
Contact: info@tokenai.llc

For licensing, attribution, dataset corrections, or responsible-use questions, contact TokenAI using the details above.