AI training datasets
Monolingual, bilingual and domain specific corpora help train and adapt multilingual models for languages that remain underrepresented in many general purpose datasets.
Pangeanic is continuously seeking organisations and individuals who own legally licensable Indic language content suitable for AI training, evaluation and multilingual language technology.
Discuss your datasetsThis is not a time-limited vacancy. Pangeanic maintains an ongoing program to identify, license, and acquire high-quality Indic language resources for AI development projects. We welcome inquiries throughout the year.
We are interested in both existing datasets and organizations that own large volumes of original digital content with clear intellectual property rights.
We welcome discussions with organizations and individuals who own original Indic language content or have the legal rights to license it for AI training and language technology projects.
Books, newspapers, magazines, journals, educational publishers and digital media organizations with large language collections.
Translation memories, bilingual corpora, terminology databases, multilingual documentation and aligned content.
Knowledge bases, multilingual customer support data, documentation, annotated corpora and conversational datasets.
Research corpora, digitization initiatives, linguistic resources and academic language collections.
Digitized archives, public documentation, heritage collections and language preservation projects.
Individuals or organizations holding proprietary collections with clear ownership and licensing rights.
We continuously expand our language coverage according to customer demand. The following languages are representative rather than exhaustive.
Indic language assets support the development, evaluation and adaptation of multilingual AI systems. Their value depends on provenance, rights, domain coverage and how well they reflect real language use.
We assess each collection according to its language coverage, legal usability, structure, originality, metadata and potential application in production AI workflows.
Monolingual, bilingual and domain specific corpora help train and adapt multilingual models for languages that remain underrepresented in many general purpose datasets.
Curated text, expert references and controlled language collections can support benchmark creation, factual evaluation, model comparison and multilingual quality testing.
Translation memories, aligned documents, terminology and multilingual editorial content improve machine translation, cross language retrieval and domain adaptation.
Legally documented language resources can support multilingual systems for public services, regulated industries and organisations that require traceability, controlled access and reliable provenance.
Large datasets are valuable, but legally usable, well-documented and carefully curated collections are considerably more valuable for enterprise AI.
We are particularly interested in proprietary datasets with clear ownership, reliable provenance, metadata and licensing suitable for AI training, evaluation and language technology applications.
Providing the following information helps us evaluate potential collaboration more efficiently.
Languages, dialects and approximate volumes.
Who owns the content and licensing rights.
TXT, XML, TMX, PDF, DOCX, audio, databases or others.
Available annotations, transcriptions and descriptive metadata.
Words, pages, hours or files available.
Representative samples for technical evaluation.
Yes. We welcome inquiries from individuals who own substantial language collections and can demonstrate ownership or licensing rights.
No. We evaluate both raw and annotated datasets. Existing metadata and annotations are always appreciated but are not mandatory.
Yes. Digitisation projects and historical collections may also be suitable depending on ownership, quality and licensing.
Absolutely. Translation memories, aligned bilingual corpora and multilingual terminology resources remain among the most valuable language assets for multilingual AI.