Dataset
ClinicalTrialSummary_Full
The ClinicalTrialSummary_Full resource lacks further documentation, with no additional details supplied.
Data preview
Dataset card
ClinicalTrialSummary_Full is a text summarization corpus distributed by publisher pat-jj, pairing clinical-trial article passages with their corresponding summaries. It contains roughly 203,860 rows split across train, validation and test partitions.
What this dataset contains
The dataset consists of paired long-form article text and condensed summary text drawn from clinical-trial sources. The full corpus totals about 203,860 rows, partitioned into train, validation and test splits, and is provided in Parquet format. Masked sample rows indicate that the article field holds paragraph-length clinical narrative passages and the summary field holds a brief study objective or conclusion.
Structure and fields
Two string columns are exposed in the schema: an `article` field containing the source clinical-trial passage and a `summary` field containing the corresponding condensed description. Both columns are typed as string values, and no additional metadata columns such as trial identifiers, dates or outcome variables are present in the documented schema.
How analysts use it
The corpus is suited to training and evaluating abstractive or extractive text-summarization models over biomedical literature rather than to direct quantitative signal extraction. Investment-relevant use cases are limited because the schema does not expose trial phase, sponsor, drug, indication or outcome fields that could be mapped to company- or therapy-level investment signals. Analysts typically treat it as a general-purpose NLP resource for fine-tuning summarization baselines rather than as an alternative-data feed.
Documentation & references 1
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