---
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.