Merge branch 'main' of https://huggingface.co/datasets/Felix-ML/quoteli3 into main

README.md

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+---
+languages:
+- en
+licenses:
+- cc-by-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 1K<n<10K
+source_datasets: []
+---
+
+# 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, 9)
+-Characters (32, 5)
+
+Test data:
+-Quotes (1513, 9)
+-Characters (145, 5)
+
+### Data Splits
+-Quotes:
+  - train:
+    - features: ['mention', 'oid', 'speaker', 'connection', 'id', 'answer', 'answer_mention {'answer', 'answer_start', 'answer_end', 'answer_in_context'}, 'question', 'context'],
+    - num_rows: 1575
+  - test:
+    - features: ['mention', 'oid', 'speaker', 'connection', 'id', 'answer', 'answer_mention {'answer', 'answer_start', 'answer_end', 'answer_in_context'}, 'question', 'context'],
+    - num_rows: 1513
+-Characters:
+  - train:
+    - features: ['aliases', 'description', 'gender', 'name', 'id'],
+    - num_rows: 32
+  - test:
+    - features: ['aliases', 'description', 'gender', 'name', 'id'],
+    - num_rows: 146