Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
natural-language-inference
Size:
10K - 100K
License:
metadata
license: apache-2.0
language:
- en
- am
- ig
- fr
- sn
- ln
- lug
- wo
- ee
- xh
- kin
- tw
- zu
- orm
- yo
- ha
- sot
- sw
size_categories:
- n<1K
multilinguality:
- multilingual
pretty_name: afrixnli
language_details: >-
eng, amh, ibo, fra, sna, lin, wol, ewe, lug, xho, kin, twi, zul, orm, yor,
hau, sot, swa
source_datasets:
- xnli
tags:
- afrixnli
- afri-xnli
- africanxnli
task_categories:
- text-classification
task_ids:
- natural-language-inference
configs:
- config_name: amh
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/amh/dev.tsv
- split: test
path: data/amh/test.tsv
- config_name: eng
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/eng/dev.tsv
- split: test
path: data/eng/test.tsv
- config_name: ewe
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/ewe/dev.tsv
- split: test
path: data/ewe/test.tsv
- config_name: fra
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/fra/dev.tsv
- split: test
path: data/fra/test.tsv
- config_name: hau
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/hau/dev.tsv
- split: test
path: data/hau/test.tsv
- config_name: ibo
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/ibo/dev.tsv
- split: test
path: data/ibo/test.tsv
- config_name: kin
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/kin/dev.tsv
- split: test
path: data/kin/test.tsv
- config_name: lin
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/lin/dev.tsv
- split: test
path: data/lin/test.tsv
- config_name: lug
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/lug/dev.tsv
- split: test
path: data/lug/test.tsv
- config_name: orm
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/orm/dev.tsv
- split: test
path: data/orm/test.tsv
- config_name: sna
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/sna/dev.tsv
- split: test
path: data/sna/test.tsv
- config_name: sot
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/sot/dev.tsv
- split: test
path: data/sot/test.tsv
- config_name: swa
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/swa/dev.tsv
- split: test
path: data/swa/test.tsv
- config_name: twi
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/twi/dev.tsv
- split: test
path: data/twi/test.tsv
- config_name: wol
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/wol/dev.tsv
- split: test
path: data/wol/test.tsv
- config_name: xho
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/xho/dev.tsv
- split: test
path: data/xho/test.tsv
- config_name: yor
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/yor/dev.tsv
- split: test
path: data/yor/test.tsv
- config_name: zul
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
data_files:
- split: validation
path: data/zul/dev.tsv
- split: test
path: data/zul/test.tsv
Dataset Card for afrixnli
Table of Contents
Dataset Description
- Point of Contact: [email protected]
Dataset Summary
AFRIXNLI is an evaluation dataset comprising translations of a subset of the XNLI dataset into 16 African languages. It includes both validation and test sets across all 18 languages, maintaining the English and French subsets from the original XNLI dataset.
Languages
There are 18 languages available :
Dataset Structure
Data Instances
The examples look like this for English:
from datasets import load_dataset
data = load_dataset('masakhane/afrixnli', 'eng')
# Please, specify the language code
# A data point example is below:
{
'premise': 'The doors were locked when we went in.',
'hypothesis': 'All of the doors were open.',
'label': 0
}
Data Fields
premise: a multilingual string variable,hypothesis: a multilingual string variable,label: a classification label, with possible values including entailment (0), neutral (1), contradiction (2).
Data Splits
All languages has two splits, dev and test a subset of the original dev and test splits of the XNLI dataset.
The splits have the following sizes :
| Language | validation | test |
|---|---|---|
| English | 450 | 600 |