Datasets › ALTA 2021 Shared Task

ALTA 2021 Shared Task (Automatic Grading of Evidence, 10 years later)

Introduced by Diego Mollá in Overview of the 2021 ALTA Shared Task: Automatic Grading of Evidence, 10 years later1 Dec 2021 archive 2025-07-28

This dataset is described in the ALTA 2021 Shared Task website and associated CodaLab competition.

The basic task is to build an automatic evidence grading system for evidence-based medicine. Evidence-based medicine is a medical practice which requires practitioners to search medical literature for evidence when making clinical decisions. The practitioners are also required to grade the quality of extracted evidence on some chosen scale. The goal of the grading system is to automatically determine the grade of an evidence given the article abstract(s) from which the evidence is extracted.

The grading scale used for this task is the Strength of Recommendation Taxonomy (SORT). This taxonomy has 3 grades - A (strong), B (moderate) and C (weak). The grade of an evidence depends on multiple factors and information about this grading scale can be found in the paper by Ebell et al. (2004).

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 4 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • ALTA 2021 Shared Task

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections