Textual Time Series
Textual time series is a data representation that structures clinical events as natural-language sequences ordered chronologically. Events such as test results, medication changes, and symptom progression are arranged by timestamp, enabling models to explicitly perceive event order and facilitating temporal reasoning evaluation.
Timeline (last 90 days)
Each case is presented in two forms — textual narrative and text time series (TTS) — with TTS further divided into manually annotated and LLM-generated versions.
Text time series (TTS) is a representation that structures clinical events into natural-language sequences in chronological order, as distinct from unstructured medical record narratives.
All Facts (2)
Each case is presented in two forms — textual narrative and text time series (TTS) — with TTS further divided into manually annotated and LLM-generated versions.
50%UnverifiedText time series (TTS) is a representation that structures clinical events into natural-language sequences in chronological order, as distinct from unstructured medical record narratives.
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