Add the dataset card

README.md

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 license: cc0-1.0
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+# NCBI Disease Corpus for Binary Sequence Classification
+
+## Description
+
+This dataset is part of the MSc dissertation study titled 'Investigating the Potential of Identifying Kidney Disease-Related Articles Using Transformer Models and Large Language Models' at the University of Southampton. It is a modified version of the [NCBI Disease Corpus](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951655/), with a binary label added to each sample. The binary label indicates whether the sample contains disease concepts (Class 1) or not (Class 0).
+
+## Dataset Structure
+
+The dataset is split into train and test sets:
+
+| Split | Class 1 | Class 0 | Total Samples per Split |
+| ----- | ------- | ------- | ----------------------- |
+| Train | 3,419   | 2,938   | 6,357                   |
+| Test  | 539     | 402     | 941                     |
+
+Columns:
+
+- **id**: Unique identifier for each sample. The ID indicate the original index of the sample in the NCBI Disease Corpus. For example, 'test-0' indicates the first sample in the test set.
+- **tokens**: The text content of the sample split into tokens.
+- **ner_tags**: The named entity recognition (NER) tags for each token. The tags are 0, 1, and 2. 0 indicates that the token is not part of a disease concept, 1 indicates the beginning of a disease concept, and 2 indicates the continuation of a disease concept.
+- **Text**: The joined text content of the sample.
+- **labels**: The binary label for the sample. 1 indicates that the sample contains disease concepts, and 0 indicates that the sample does not contain disease concepts.