Amharic AI Training Datasets
Amharic (አማርኛ) spoken in Ethiopia (Africa), written in Ge'ez, is one of the languages we build proprietary, rights-cleared datasets for. It is a low-resource language: usable training data barely exists on the open web, so it has to be collected from real speakers with consent. Every Amharic dataset ships with documented consent, provenance and published quality metrics, and is available with India data residency.
Amharic datasets in the catalog
Showing 2 of 41 datasets.
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Safety / EvalSafety / Eval Text
African Low-Resource Red-Team & Safety Eval Set
A native-speaker red-team and safety evaluation set across five major African languages — built to surface harms that English-only guardrails miss.
- Languages:
- Hausa, Yoruba, Amharic, Swahili, Zulu
- Size:
- 18,400 prompts
- IAA:
- 0.87
Rights-clearedLicence from
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GeneralGeneral Audio / Speech 🇮🇳 Sovereign
Low-Resource Language ASR & TTS Corpus
Paired speech-and-text for low-resource languages, built for both ASR and TTS — read prompts plus spontaneous speech, with studio-grade single-speaker sets for voice building.
- Languages:
- Santali, Bodo, Dogri, Maithili + Global-South LRLs
- Size:
- 410 hrs · 1,300 speakers · 12 languages
- IAA:
- 0.87
Rights-clearedLicence from
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Services for Amharic data
When the data you need doesn't exist yet, we build it — collection, annotation, alignment and evaluation, all rights-cleared and documented.
Multilingual Data Collection
Native-speaker audio, video, image and text collection across Indic, African and low-resource languages — field-grade, consented, documented.
Explore the serviceData Annotation
Speech, NLP, CV and multimodal annotation at IAA ≥ 0.85 with two-pass QA — built for foundation-model SLAs.
Explore the serviceSFT Gold-Standard Data
High-quality prompt/response curation for supervised fine-tuning — vetted by linguistic SMEs, not crowd-sourced noise.
Explore the serviceCultural & Cross-Lingual Evaluation
Evaluation for honorifics, code-mix, idioms, caste-safety and pragmatic correctness — beyond translated MMLU.
Explore the serviceCommon questions
- Is the Amharic data rights-cleared and safe to train on?
Yes. Every Amharic record is created or sourced under written contributor agreements granting commercial reuse, with a consent reference and authorship log — never scraped.
- Can you collect more Amharic data to spec?
Yes. When the Amharic data you need doesn't exist, we collect and annotate it to your specification across speech, text and multimodal modalities, with an India-residency option.
- How is Amharic data quality measured?
Each dataset ships with a data card: inter-annotator agreement, QA pass rate, and (for speech) word error rate, with two-pass QA and adjudication.
Need Amharic data your model can train on?
License what's in the catalog, or tell us exactly what you need — we build proprietary, rights-cleared datasets to spec, with India data residency.