q_re_cc

• Keterangan :

Kumpulan data yang berisi 14 ribu percakapan dengan 81 ribu pasangan tanya jawab. QReCC dibuat berdasarkan pertanyaan dari TREC CAsT, QuAC, dan Google Natural Questions.

• Beranda : https://github.com/apple/ml-qrecc

• Kode sumber : tfds.text.qrecc.QReCC

• Versi :

  • 1.0.0 (default): Rilis awal.

• Ukuran unduhan : 7.60 MiB

• Ukuran kumpulan data : 69.29 MiB

• Cache otomatis ( dokumentasi ): Ya

• Perpecahan :

• Struktur fitur :

FeaturesDict({
    'answer': Text(shape=(), dtype=string),
    'answer_url': Text(shape=(), dtype=string),
    'context': Sequence(Text(shape=(), dtype=string)),
    'conversation_id': Scalar(shape=(), dtype=int32, description=The id of the conversation.),
    'question': Text(shape=(), dtype=string),
    'question_rewrite': Text(shape=(), dtype=string),
    'source': Text(shape=(), dtype=string),
    'turn_id': Scalar(shape=(), dtype=int32, description=The id of the conversation turn, within a conversation.),
})

• Dokumentasi fitur :

• Kunci yang diawasi (Lihat dokumen as_supervised ): None

• Gambar ( tfds.show_examples ): Tidak didukung.

• Contoh ( tfds.as_dataframe ):

• Kutipan :

@article{qrecc,
  title={Open-Domain Question Answering Goes Conversational via Question Rewriting},
  author={Anantha, Raviteja and Vakulenko, Svitlana and Tu, Zhucheng and Longpre, Shayne and Pulman, Stephen and Chappidi, Srinivas},
  journal={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
  year={2021}
}