Aya Dataset (Swahili)
Human-annotated Swahili instruction data supporting multilingual instruction-following.
- Swahili
- Instruction
- Hugging Face
The data, in context
Human-annotated Swahili instruction data supporting multilingual instruction-following.
CommonMind uses it to train and evaluate Swahili-gemma-1B-it.
DATASET INFORMATION
- Language
- Swahili
- Data type
- Instruction
- Domain
- –
- Format
- –
- Size
- –
- Samples used
- 359 examples
- Version
- –
- License
- –
- Availability
- Hugging Face ↗
Explore what's in the dataset
Understand the language, content, and structure represented within the corpus.
DATA PREVIEW
| ID | Language | Type | Domain |
|---|---|---|---|
| 00001 | Swahili | Instruction | – |
| 00002 | Swahili | Instruction | – |
| 00003 | Swahili | Instruction | – |
| 00004 | Swahili | Instruction | – |
Sample rows will appear here once the preview is published.
What's represented
Understand the languages, data types, and contexts covered by this dataset.
- Language
- Swahili
- Data Type
- Instruction
- Source
- Hugging Face
- Version
- –
How the dataset was built
Learn how the data was collected, processed, structured, reviewed, and prepared for civic language research.
- 01 — CollectionHow the source language data was gathered.
- 02 — ProcessingHow speech and related resources were prepared and structured.
- 03 — AnnotationHow language and civic information were organised within the dataset.
- 04 — ReviewHow the resulting data was assessed and prepared for use.
Use Aya Dataset (Swahili)
Access the dataset for research, model development, evaluation, and civic language experimentation.
from datasets import load_dataset
# Datasets with several configurations take one as a second argument.
ds = load_dataset("CohereForAI/aya_dataset")
print(ds)Models connected to this dataset
Explore models and language tools built with Aya Dataset (Swahili).
Understand the boundaries of the data
Review known limitations, representation gaps, intended uses, and areas where additional language data or research may be needed.
- Known Limitations
- Document known gaps and constraints within the dataset.
- Intended Use
- Describe the research and development contexts the dataset is designed to support.
- Out-of-Scope Use
- Clarify applications or interpretations the dataset was not designed to support.
- Representation
- Document relevant considerations around language and contextual coverage.
Dataset history
Track changes, additions, and improvements across releases.
| Version | Released | Status | Notes |
|---|---|---|---|
| – | – | In use | 359 examples |