Dataset
ClinicalTrialSummary
ClinicalTrialSummary is a Hugging Face dataset published under the pat-jj account that pairs long-form clinical trial article text with shorter plain-language summaries. It is distributed in Parquet format with predefined train, validation, and test splits totaling 77,516 rows.
Data preview
Dataset card
What this dataset contains
The dataset contains 77,516 rows organized into train, validation, and test splits, placing it in the 10K–100K size band. Each row pairs a piece of clinical-trial source text with a corresponding summary, framing it as a text-to-text summarization resource rather than as primary trial registry data. Licensing is described through an OpenRAIL tag, while the underlying source license is not explicitly stated by the publisher.
Structure and fields
The schema is minimal, with two string-valued Value fields named article and summary. The article column holds the longer clinical-trial description and the summary column holds the condensed, plain-language version, an arrangement consistent with the masked sample rows showing truncated trial text aligned with abbreviated summaries. Files are delivered in Parquet and can be loaded through the datasets, pandas, polars, or mlcroissant libraries.
How analysts use it
Use cases skew toward natural language processing research, including fine-tuning encoder-decoder models for biomedical summarization and benchmarking long-document summarization pipelines. Direct investment signals are not the primary purpose, and the factual coverage above does not support specific fund-style applications beyond treating the corpus as a general-purpose clinical text resource. Because the source license is unstated, downstream commercial use would require separate verification.
Documentation & references 1
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