xtreme_xnli

• Deskripsi :

Dataset ini berisi terjemahan mesin MNLI ke setiap bahasa XNLI. Data terjemahan disediakan oleh XTREME. Perhatikan bahwa ini berbeda dari data terjemahan mesin yang disediakan oleh kertas XNLI asli.

• Situs web : https://www.nyu.edu/projects/bowman/xnli/

• Kode sumber : tfds.text.xtreme_xnli.XtremeXnli

• Versi :

  • 1.1.0 (default): Tidak ada catatan rilis.

• Ukuran unduhan : 2.31 GiB

• Ukuran set data : 1.59 GiB

• Cache otomatis ( dokumentasi ): Tidak

• Split :

• Fitur :

FeaturesDict({
    'hypothesis': TranslationVariableLanguages({
        'language': Text(shape=(), dtype=tf.string),
        'translation': Text(shape=(), dtype=tf.string),
    }),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=3),
    'premise': Translation({
        'ar': Text(shape=(), dtype=tf.string),
        'bg': Text(shape=(), dtype=tf.string),
        'de': Text(shape=(), dtype=tf.string),
        'el': Text(shape=(), dtype=tf.string),
        'en': Text(shape=(), dtype=tf.string),
        'es': Text(shape=(), dtype=tf.string),
        'fr': Text(shape=(), dtype=tf.string),
        'hi': Text(shape=(), dtype=tf.string),
        'ru': Text(shape=(), dtype=tf.string),
        'sw': Text(shape=(), dtype=tf.string),
        'th': Text(shape=(), dtype=tf.string),
        'tr': Text(shape=(), dtype=tf.string),
        'ur': Text(shape=(), dtype=tf.string),
        'vi': Text(shape=(), dtype=tf.string),
        'zh': Text(shape=(), dtype=tf.string),
    }),
})

• Kunci yang diawasi (Lihat as_supervised doc ): None

• Kutipan :

@article{hu2020xtreme,
      author    = {Junjie Hu and Sebastian Ruder and Aditya Siddhant and Graham Neubig and Orhan Firat and Melvin Johnson},
      title     = {XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization},
      journal   = {CoRR},
      volume    = {abs/2003.11080},
      year      = {2020},
      archivePrefix = {arXiv},
      eprint    = {2003.11080}
}

• Gambar ( tfds.show_examples ): Tidak didukung.

• Contoh ( tfds.as_dataframe ):