SIB-200
Benchmark for 200+ Languages
topic-classification
benchmarking
evaluation
Based on FLORES-200
CC-BY-SA 4.0
Description
Large-scale benchmark for topic classification in 200+ languages. Excellent for benchmarking compressed models.
Quick Start
Python
from datasets import load_dataset
dataset = load_dataset("Davlan/sib200", "hau_Latn", split="test")
Project Ideas
Quantization Benchmark
Quantize AfroXLMR to 8-bit and benchmark accuracy loss
IntermediateSpeed Comparison
Compare mBERT vs DistilmBERT inference speed
BeginnerEthical Considerations
- None significant