---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: text1
    dtype: string
  - name: text2
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': '-1'
          '1': '1'
  splits:
  - name: train
    num_bytes: 150266647.47592032
    num_examples: 50712
  - name: test
    num_bytes: 64403801.52407967
    num_examples: 21735
  download_size: 129675237
  dataset_size: 214670449.0
---
# Dataset Card for "WikiMedical_sentence_similarity"

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).

The preprocessing followed three steps:
- Each text is splitted into sentences of 256 tokens (nltk tokenizer)
- Each sentence is paired with a positive pair if found, and a negative one. Negative one are drawn randomly in the whole dataset.
- Train and test split correspond to 70%/30%

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)