Datasets › IBM-Rank-30k

IBM-Rank-30k (IBM-ArgQ-Rank-30kArgs)

Introduced by Shai Gretz et al. in A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis26 Nov 2019 archive 2025-07-28

The IBM-Rank-30k is a dataset for the task of argument quality ranking. It is a corpus of 30,497 arguments carefully annotated for point-wise quality.

Image Source: A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis

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 6 papers for it but never published that list.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

No task tagged in the archive.

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

  • IBM-Rank-30k

1 variant name, as the archive lists them.

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