README.md

metadata

license: apache-2.0
language:
  - am
  - ee
  - ha
  - ig
  - rw
  - ln
  - lg
  - om
  - sn
  - st
  - sw
  - tw
  - wo
  - xh
  - yo
  - zu
  - en
multilinguality:
  - multilingual
pretty_name: injongoIntent
size_categories:
  - n<1K
language_details: >-
  amh, eng, ewe, hau, ibo, kin, lin, lug, orm, sna, sot, swa, twi, wol, xho,
  yor, zul
source_datasets:
  - clinc/clinc_oos
tags:
  - injongoIntent
  - injongo-intent
  - injongointent
task_categories:
  - text-classification
task_ids:
  - intent-classification
  - multi-class-classification
configs:
  - config_name: amh
    data_files:
      - split: train
        path: amh/train.jsonl
      - split: validation
        path: amh/dev.jsonl
      - split: test
        path: amh/test.jsonl

Dataset Card for InjongoIntent

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits

Dataset Description

• Point of Contact: david.adelani@mila.quebec

Dataset Summary

InjongoIntent

Languages

There are 17 languages available :

Dataset Structure

Data Instances

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:
{

}

Data Fields

• question: the question string to a grade school math problem.
• answer: the final numeric solution.

Data Splits

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