| dataset_info: | |
| features: | |
| - name: title | |
| dtype: string | |
| - name: synonyms | |
| dtype: string | |
| - name: labels | |
| dtype: int64 | |
| splits: | |
| - name: test | |
| num_bytes: 143699 | |
| num_examples: 2048 | |
| download_size: 94526 | |
| dataset_size: 143699 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: test | |
| path: data/test-* | |
| license: cc-by-nc-sa-4.0 | |
| task_categories: | |
| - text-classification | |
| language: | |
| - en | |
| tags: | |
| - chemistry | |
| - pubchem | |
| - chemteb | |
| pretty_name: PubChem Synonyms Pair Classification | |
| size_categories: | |
| - 1K<n<10K | |
| # PubChem Synonyms Pair Classification | |
| This dataset consists of pairs of chemical entity names and their corresponding synonyms, with labels indicating whether they refer to the same entity. A label of 1 means the name and synonym correspond to the same chemical entity, while a label of 0 indicates they refer to different entities. The dataset is sourced from PubChem ([ChEBI](https://www.ebi.ac.uk/chebi/)), providing a valuable resource for tasks involving synonym resolution and chemical entity matching. |