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AggreFact

Introduced by Liyan Tang et al. in Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors25 May 2022 archive 2025-07-28

The AggreFact dataset is a benchmark for evaluating the factuality of summaries generated by different summarization models. It aggregates factuality error annotations from nine existing datasets and stratifies them according to the underlying summarization model.

The dataset contains the following columns: - dataset: Name of the original annotated dataset. - origin: Summarization dataset. Either cnndm or xsum. - id: Document id. - doc: Input article. - summary: Model generated summary. - model_name: Name of the model used to generate the summary. - label: Factual consistency of the generated summary. 1 is factually consistent, 0 otherwise. - cut: Either val or test. - system _score: The output score from a factuality system. - system _label: The binary factual consistency label based on the score of the factuality system.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Summarization Consistency Evaluation AggreFact FENICE Balanced Accuracy 72.7 FENICE: Factuality Evaluation of summarization based on... Babelscape/FENICE 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 18. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
FENICE: Factuality Evaluation of summarization based on Natural language Inference and Claim Extraction 1 1 4 Mar 2024 not harvested

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

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • AggreFact

1 variant name, as the archive lists them.

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