Felix-ML/quoteli3

Dataset Card for quoteli3

Dataset Description

• —Homepage: https://nlp.stanford.edu/~muzny/quoteli.html
• —Repository: https://nlp.stanford.edu/~muzny/quoteli.html
• —Paper: Muzny, Grace, et al. "A two-stage sieve approach for quote attribution." Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers. 2017.

Dataset Summary

This dataset is based on the quoteli3 dataset by Muzny et al. (2017). It contains annotated quotes for three pieces of literature: Chekhov\\\\\\\\\\\\'s The Steppe, Austen\\\\\\\\\\\\'s Emma and Pride and Prejudice.

Languages

The text in the dataset is English.

Dataset Structure

Training data: -Quotes (1575, 11) -Characters (32, 6)

Test data: -Quotes (1513, 11) -Characters (145, 6)

Data Splits

-Quotes:

• —train:
• —features: ['mention', 'oid', 'speaker', 'connection', 'id', 'answer', 'answermention {'answer', 'answerstart', 'answerend', 'answerincontext'}, 'question', 'context', 'largecontext', 'book_title'],
• —num_rows: 1575
• —test:
• —features: ['mention', 'oid', 'speaker', 'connection', 'id', 'answer', 'answermention {'answer', 'answerstart', 'answerend', 'answerincontext'}, 'question', 'context', 'largecontext', 'book_title'],
• —num_rows: 1513 -Characters:
• —train:
• —features: ['aliases', 'description', 'gender', 'name', 'id', 'book_title'],
• —num_rows: 32
• —test:
• —features: ['aliases', 'description', 'gender', 'name', 'id', 'book_title'],
• —num_rows: 146