Datasets:
Tasks:
Sentence Similarity
Formats:
csv
Languages:
German
Size:
10M - 100M
ArXiv:
Tags:
sentence-transformers
License:
improve formatting
Browse files
README.md
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The English texts were machine translated back into German. This is how the paraphrases were obtained.
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## Columns description
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## Load this dataset with Pandas
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If you want to download the csv file and then load it with Pandas you can do it like this:
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The English texts were machine translated back into German. This is how the paraphrases were obtained.
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## Columns description
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- **`uuid`**: a uuid calculated with Python `uuid.uuid4()`
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- **`de`**: the original German texts from the corpus
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- **`en_de`**: the German texts translated back from English
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- **`corpus`**: the name of the corpus
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- **`min_char_len`**: the number of characters of the shortest text
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- **`jaccard_similarity`**: the [Jaccard similarity coefficient](https://en.wikipedia.org/wiki/Jaccard_index) of both sentences - see below for more details
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- **`de_token_count`**: number of tokens of the `de` text, tokenized with [deepset/gbert-large](https://huggingface.co/deepset/gbert-large)
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- **`en_de_token_count`**: number of tokens of the `de` text, tokenized with [deepset/gbert-large](https://huggingface.co/deepset/gbert-large)
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- **`cos_sim`**: the [cosine similarity](https://en.wikipedia.org/wiki/Cosine_similarity) of both sentences measured with [sentence-transformers/paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2)
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## Load this dataset with Pandas
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If you want to download the csv file and then load it with Pandas you can do it like this:
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