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Datasets:
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xnli_gl

Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
Galician
Size:
1K - 10K
Libraries:
Datasets
pandas
License:
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metadata
language:
  - gl
license:
  - cc-by-nc-4.0
pretty_name: xnli-gl
dataset_info:
  - config_name: test
    features:
      - name: sentence1
        dtype: string
      - name: sentence2
        dtype: string
      - name: gold_label
        dtype: string
configs:
  - config_name: default
    data_files:
      - split: test
        path: xnli.test.gl.tsv
task_categories:
  - text-classification

Dataset Card for XNLI_gl

XNLI_gl is an extension of XNLI translated to Galician. It has been designed as a cross-lingual dataset for the Natural Language Inference task, a text-classification task that consists on classifying pairs of sentences, a premise and a hypothesis, according to their semantic relation out of three possible labels: entailment, contradiction and neutral.

XNLI is restricted to only non-commercial research purposes under the Creative Commons Attribution Non-commercial 4.0 International Public License.

Dataset Details

Dataset Sources

Supported Tasks and Leaderboards

Textual entailment, Text classification, Language Model

Dataset Structure

Dataset Fields

  • sentence1: text with the premise (string variable)
  • sentence2: hypothesis, text related to the premise (string variable)
  • gold_label: a classification label, showing the relation between premise and hypothesis. Possible values:
    • entailment
    • neutral
    • contradiction