movie_rationales

• Deskripsi :

Set data alasan film berisi alasan beranotasi manusia untuk ulasan film.

• Situs web : http://www.cs.jhu.edu/~ozaidan/rationales/

• Kode sumber : tfds.text.MovieRationales

• Versi :

  • 0.1.0 (default): Tidak ada catatan rilis.

• Ukuran unduhan : 3.72 MiB

• Ukuran kumpulan data : Unknown size

• Cache otomatis ( dokumentasi ): Tidak diketahui

• Split :

• Fitur :

FeaturesDict({
    'evidences': Sequence(Text(shape=(), dtype=tf.string)),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=2),
    'review': Text(shape=(), dtype=tf.string),
})

• Kunci yang diawasi (Lihat as_supervised doc ): None

• Kutipan :

@unpublished{eraser2019,
    title = {ERASER: A Benchmark to Evaluate Rationalized NLP Models},
    author = {Jay DeYoung and Sarthak Jain and Nazneen Fatema Rajani and Eric Lehman and Caiming Xiong and Richard Socher and Byron C. Wallace}
}
@InProceedings{zaidan-eisner-piatko-2008:nips,
  author    =  {Omar F. Zaidan  and  Jason Eisner  and  Christine Piatko},
  title     =  {Machine Learning with Annotator Rationales to Reduce Annotation Cost},
  booktitle =  {Proceedings of the NIPS*2008 Workshop on Cost Sensitive Learning},
  month     =  {December},
  year      =  {2008}
}

• Gambar ( tfds.show_examples ): Tidak didukung.

• Contoh ( tfds.as_dataframe ):