--- 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 - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) ## Dataset Description - **Point of Contact:** d.adelani@ucl.ac.uk ### 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 |