| --- |
| dataset_info: |
| features: |
| - name: sentence1 |
| dtype: string |
| - name: labels |
| dtype: string |
| - name: metadata |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 578657578 |
| num_examples: 2211861 |
| - name: validation |
| num_bytes: 7601235 |
| num_examples: 28932 |
| - name: test |
| num_bytes: 7683141 |
| num_examples: 29493 |
| download_size: 224972141 |
| dataset_size: 593941954 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| - split: test |
| path: data/test-* |
| license: other |
| source_datasets: |
| - zj88zj/PubMed_200k_RCT |
| --- |
| |
| # pubmed-rct |
|
|
| PubMed 200k RCT sentence roles, retaining native PMID/abstract partitions. |
|
|
| Converts the pinned plaintext training Hub copy, preserving PMID headers |
| and numbers. Uses original dev/test files because the Hub dev file is RTF, |
| not plaintext. Streaming conversion avoids collecting 2.2 million sentence dictionaries in memory. Native train/dev/test |
| are preserved and verified PMID-disjoint. Original data distribution: |
| https://github.com/Franck-Dernoncourt/pubmed-rct. |
| Terms remain unspecified: the original README warns that PubMed abstracts |
| can be copyrighted; free availability does not establish redistribution rights. |
|
|
| Original data: [zj88zj/PubMed_200k_RCT](https://huggingface.co/datasets/zj88zj/PubMed_200k_RCT), [original distribution](https://github.com/Franck-Dernoncourt/pubmed-rct). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/specialized_text.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/specialized_text.py#L39). |
|
|
| [Conversion provenance](provenance.json): source revisions, hashes, configuration and exclusions. |
|
|
