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--- |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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dataset_info: |
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features: |
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- name: text1 |
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dtype: string |
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- name: text2 |
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dtype: string |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': '-1' |
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'1': '1' |
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splits: |
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- name: train |
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num_bytes: 150266647.47592032 |
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num_examples: 50712 |
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- name: test |
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num_bytes: 64403801.52407967 |
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num_examples: 21735 |
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download_size: 129675237 |
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dataset_size: 214670449.0 |
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--- |
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# Dataset Card for "WikiMedical_sentence_similarity" |
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WikiMedical_sentence_similarity is an adapted and ready-to-use sentence similarity dataset based on [this dataset](https://huggingface.co/datasets/gamino/wiki_medical_terms). |
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The preprocessing followed three steps: |
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- Each text is splitted into sentences of 256 tokens (nltk tokenizer) |
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- Each sentence is paired with a positive pair if found, and a negative one. Negative one are drawn randomly in the whole dataset. |
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- Train and test split correspond to 70%/30% |
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
