nanakonoda/xnli_parallel

Dataset Card for XNLI Parallel Corpus

Dataset Summary

Supported Tasks and Leaderboards

Binary mode classification (spoken vs written)

Languages

• English
• German
• French

Dataset Structure

Data Instances

{ 'text': "And he said , Mama , I 'm home .", 'label': 0 }

Data Fields

• text: sentence
• label: binary label of text (0: spoken 1: written)

Data Splits

• train: 830
• test: 1669

Other Statistics

Vocabulary Size

• English

  • train: 4363
  • test: 7128

• German

  • train: 5070
  • test: 8601

• French

  • train: 4881
  • test: 7935

Average Sentence Length

• English

  • train: 20.689156626506023
  • test: 20.75254643499101

• German

  • train: 20.367469879518072
  • test: 20.639904134212102

• French

  • train: 23.455421686746988
  • test: 23.731575793888556

Label Split

• train:
  • 0: 166
  • 1: 664
• test:
  • 0: 334
  • 1: 1335

Out-of-vocabulary words in model

• English

  • BERT (bert-base-uncased)

    • train: 800
    • test: 1638

  • mBERT (bert-base-multilingual-uncased)

    • train: 1347
    • test: 2693

  • German BERT (bert-base-german-dbmdz-uncased)

    • train: 3228
    • test: 5581

  • flauBERT (flaubert-base-uncased)

    • train: 4363
    • test: 7128

• German

  • BERT (bert-base-uncased)

    • train: 4285
    • test: 7387

  • mBERT (bert-base-multilingual-uncased)

    • train: 3126
    • test: 5863

  • German BERT (bert-base-german-dbmdz-uncased)

    • train: 2033
    • test: 3938

  • flauBERT (flaubert-base-uncased)

    • train: 5069
    • test: 8600

• French

  • BERT (bert-base-uncased)

    • train: 3784
    • test: 6289

  • mBERT (bert-base-multilingual-uncased)

    • train: 2847
    • test: 5084

  • German BERT (bert-base-german-dbmdz-uncased)

    • train: 4212
    • test: 6964

  • flauBERT (flaubert-base-uncased)

    • train: 4881
    • test: 7935

Dataset Creation

Curation Rationale

N/A

Source Data

https://github.com/facebookresearch/XNLI

Here is the citation for the original XNLI paper.

@InProceedings{conneau2018xnli,
  author = "Conneau, Alexis
        and Rinott, Ruty
        and Lample, Guillaume
        and Williams, Adina
        and Bowman, Samuel R.
        and Schwenk, Holger
        and Stoyanov, Veselin",
  title = "XNLI: Evaluating Cross-lingual Sentence Representations",
  booktitle = "Proceedings of the 2018 Conference on Empirical Methods
               in Natural Language Processing",
  year = "2018",
  publisher = "Association for Computational Linguistics",
  location = "Brussels, Belgium",
}

Initial Data Collection and Normalization

N/A

Who are the source language producers?

N/A

Annotations

Annotation process

N/A

Who are the annotators?

N/A

Personal and Sensitive Information

N/A

Considerations for Using the Data

Social Impact of Dataset

N/A

Discussion of Biases

N/A

Other Known Limitations

N/A

Additional Information

Dataset Curators

N/A

Licensing Information

N/A

Citation Information

Contributions

N/A