Datasets › QC-Science

QC-Science

Introduced by Venktesh V et al. in TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy3 Jul 2021 archive 2025-07-28

QC-Science contains 47832 question-answer pairs belonging to the science domain tagged with labels of the form subject - chapter - topic. The dataset was collected with the help of a leading e-learning platform. The dataset consists of 40895 samples for training, 2153 samples for validation and 4784 samples for testing.

Description adopted from: https://arxiv.org/pdf/2107.10649v1.pdf

Image source: https://arxiv.org/pdf/2107.10649v1.pdf

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
Question-Answer categorization QC-Science TagRec(BERT+USE) R@5 0.86 TagRec: Automated Tagging of Questions with Hierarchical... VenkteshV/TagRec_EMCL_PKDD_2021 6 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 4. 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
TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy 1 6 3 Jul 2021 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • QC-Science

1 variant name, as the archive lists them.

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