McGill-NLP/gemma-2-9b-it-Injongo-slot
Text Generation • 9B • Updated • 6
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InjongoIntent
There are 17 languages available :
The examples look like this for English:
from datasets import load_dataset
data = load_dataset('masakhane/InjongoIntent', 'eng')
# Please, specify the language code
# A data point example is below:
{
}
question: the question string to a grade school math problem.answer: the final numeric solution.All languages has two split the train and test and they correspond with the original train and test splits of the GSM8k dataset.
The splits have the following sizes :
| Language | train | test |
|---|---|---|
| am | 8 | 250 |
| ee | 8 | 250 |
| ha | 8 | 250 |
| kin | 8 | 250 |
| ln | 8 | 250 |
| lug | 8 | 250 |
| orm | 8 | 250 |
| sna | 8 | 250 |
| sw | 8 | 250 |
| tw | 8 | 250 |
| vai | 8 | 250 |
| wo | 8 | 250 |
| xh | 8 | 250 |
| yo | 8 | 250 |
| zu | 8 | 250 |
| en | 8 | 250 |