Datasets:
Sub-tasks:
semantic-similarity-classification
Languages:
Finnish
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Annotations Creators:
expert-generated
Source Datasets:
original
License:
Update README.md
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README.md
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- **Repository:** https://github.com/TurkuNLP/Turku-paraphrase-corpus
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- **Paper:** https://aclanthology.org/2021.nodalida-main.29
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- **Leaderboard:**
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- **Point of Contact:** jmnybl@utu.fi
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### Dataset Summary
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The project gathered a large dataset of Finnish paraphrase pairs (over 100,000). The paraphrases are selected and classified manually, so as to minimize lexical overlap, and provide examples that are maximally structurally and lexically different. The objective is to create a dataset which is challenging and better tests the capabilities of natural language understanding. An important feature of the data is that most paraphrase pairs are distributed in their document context. The primary application for the dataset is the development and evaluation of deep language models, and representation learning in general.
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### Supported Tasks and Leaderboards
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- **Repository:** https://github.com/TurkuNLP/Turku-paraphrase-corpus
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- **Paper:** https://aclanthology.org/2021.nodalida-main.29
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- **Leaderboard:**
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- **Point of Contact:** jmnybl@utu.fi; filip.ginter@gmail.com
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### Dataset Summary
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The project gathered a large dataset of Finnish paraphrase pairs (over 100,000). The paraphrases are selected and classified manually, so as to minimize lexical overlap, and provide examples that are maximally structurally and lexically different. The objective is to create a dataset which is challenging and better tests the capabilities of natural language understanding. An important feature of the data is that most paraphrase pairs are distributed in their document context. The primary application for the dataset is the development and evaluation of deep language models, and representation learning in general.
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Usage:
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```
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from datasets import load_dataset
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dataset = load_dataset('TurkuNLP/turku_paraphrase_corpus', name="plain")
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```
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where `name` is one of the supported loading options: `plain`, `plain-context`, `classification`, `classification-context`, or `generation`. See Data Fields for more information.
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### Supported Tasks and Leaderboards
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