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Datasets:
masakhane
/
InjongoIntent

Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
intent-classification
multi-class-classification
Languages:
Amharic
Ewe
Hausa
Size:
10K - 100K
Tags:
injongoIntent
injongo-intent
injongointent
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ language:
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+ - am
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+ - ee
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+ - ha
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+ - ig
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+ - kin
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+ - ln
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+ - lug
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+ - orm
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+ - sna
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+ - sot
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+ - sw
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+ - tw
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+ - wo
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+ - xh
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+ - vai
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+ - yo
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+ - zu
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+ - en
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+ multilinguality:
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+ - multilingual
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+ pretty_name: injongoIntent
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+ size_categories:
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+ - n<1K
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+ language_details: >-
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+ amh, eng, ewe, hau, ibo, kin, lin, lug, orm, sna, sot, swa, twi, wol, xho, yor, zul
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+ source_datasets:
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+ - gsm8k
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+ tags:
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+ - injongoIntent
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+ - injongo-intent
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+ - injongointent
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+ task_categories:
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+ - text2text-generation
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+ task_ids:
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+ - natural-language-inference
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+ configs:
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+ - config_name: amh
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+ data_files:
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+ - split: train
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+ path: amh/dev.jsonl
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+ - split: test
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+ path: amh/test.jsonl
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+ - config_name: eng
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+ data_files:
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+ - split: train
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+ path: eng/dev.jsonl
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+ - split: test
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+ path: eng/test.jsonl
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+ - config_name: ewe
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+ data_files:
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+ - split: train
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+ path: ewe/dev.jsonl
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+ - split: test
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+ path: ewe/test.jsonl
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+ - config_name: hau
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+ data_files:
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+ - split: train
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+ path: hau/dev.jsonl
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+ - split: test
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+ path: hau/test.jsonl
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+ - config_name: ibo
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+ data_files:
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+ - split: train
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+ path: ibo/dev.jsonl
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+ - split: test
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+ path: ibo/test.jsonl
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+ - config_name: kin
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+ data_files:
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+ - split: train
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+ path: kin/dev.jsonl
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+ - split: test
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+ path: kin/test.jsonl
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+ - config_name: lin
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+ data_files:
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+ - split: train
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+ path: lin/dev.jsonl
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+ - split: test
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+ path: lin/test.jsonl
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+ - config_name: lug
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+ data_files:
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+ - split: train
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+ path: lug/dev.jsonl
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+ - split: test
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+ path: lug/test.jsonl
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+ - config_name: orm
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+ data_files:
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+ - split: train
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+ path: orm/dev.jsonl
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+ - split: test
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+ path: orm/test.jsonl
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+ - config_name: sna
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+ data_files:
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+ - split: train
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+ path: sna/dev.jsonl
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+ - split: test
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+ path: sna/test.jsonl
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+ - config_name: sot
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+ data_files:
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+ - split: train
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+ path: sot/dev.jsonl
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+ - split: test
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+ path: sot/test.jsonl
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+ - config_name: swa
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+ data_files:
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+ - split: train
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+ path: swa/dev.jsonl
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+ - split: test
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+ path: swa/test.jsonl
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+ - config_name: twi
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+ data_files:
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+ - split: train
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+ path: twi/dev.jsonl
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+ - split: test
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+ path: twi/test.jsonl
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+ - config_name: wol
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+ data_files:
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+ - split: train
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+ path: wol/dev.jsonl
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+ - split: test
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+ path: wol/test.jsonl
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+ - config_name: xho
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+ data_files:
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+ - split: train
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+ path: xho/dev.jsonl
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+ - split: test
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+ path: xho/test.jsonl
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+ - config_name: yor
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+ data_files:
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+ - split: train
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+ path: yor/dev.jsonl
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+ - split: test
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+ path: yor/test.jsonl
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+ - config_name: zul
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+ data_files:
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+ - split: train
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+ path: zul/dev.jsonl
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+ - split: test
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+ path: zul/test.jsonl
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+ ---
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+
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+ # Dataset Card for afrimgsm
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+
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+ ## Table of Contents
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+ - [Table of Contents](#table-of-contents)
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+
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+ ## Dataset Description
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+
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+ - **Point of Contact:** d.adelani@ucl.ac.uk
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+
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+ ### Dataset Summary
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+
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+ AFRIMGSM is an evaluation dataset comprising translations of a subset of the GSM8k dataset into 16 African languages.
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+ It includes test sets across all 18 languages, maintaining an English and French subsets from the original GSM8k dataset.
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+
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+ ### Languages
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+
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+ There are 18 languages available :
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ The examples look like this for English:
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+
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+ ```
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+ from datasets import load_dataset
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+ data = load_dataset('masakhane/afrimgsm', 'eng')
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+ # Please, specify the language code
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+ # A data point example is below:
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+ {
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+ 'question': 'A football team played 22 games. They won 8 more than they lost. How many did they win?',
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+ 'answer': 15
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+ }
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+ ```
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+
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+ ### Data Fields
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+
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+ - `question`: the question string to a grade school math problem.
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+ - `answer`: the final numeric solution.
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+
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+ ### Data Splits
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+
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+ All languages has two split the `train` and `test` and they correspond with the original `train` and `test` splits of the GSM8k dataset.
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+
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+ The splits have the following sizes :
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+
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+ | Language | train | test |
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+ |----------|------:|-----:|
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+ | am | 8 | 250 |
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+ | ee | 8 | 250 |
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+ | ha | 8 | 250 |
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+ | kin | 8 | 250 |
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+ | ln | 8 | 250 |
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+ | lug | 8 | 250 |
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+ | orm | 8 | 250 |
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+ | sna | 8 | 250 |
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+ | sw | 8 | 250 |
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+ | tw | 8 | 250 |
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+ | vai | 8 | 250 |
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+ | wo | 8 | 250 |
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+ | xh | 8 | 250 |
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+ | yo | 8 | 250 |
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+ | zu | 8 | 250 |
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+ | en | 8 | 250 |
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+ | fr | 8 | 250 |