Datasets › CC152K

CC152K (Conceptual Captions 152K)

Introduced by Xinran Ma et al. in Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining archive 2025-07-28

CC152K is a subset of Conceptual Captions. It contains 150,000 randomly selected samples from the training split for training, 1,000 samples from the validation split for validation, and 1,000 samples from the validation split for testing.

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
Cross-modal retrieval with noisy correspondence CC152K ReCon R-Sum 380.5 ReCon: Enhancing True Correspondence Discrimination... qxzha/ReCon 15 Compare

Papers archive 2025-07-28

15 shown of 15 papers 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 17. 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
ReCon: Enhancing True Correspondence Discrimination through Relation Consistency for Robust Noisy Correspondence Learning 1 1 27 Feb 2025 ran 3 of 5 samples (2 unverified)
UGNCL: Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching 1 1 11 Jul 2024 not harvested
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning 1 1 27 May 2024 ran 4 of 6 samples (2 unverified; 6 pointer-only for licence)
Learning with Noisy Correspondence 0 1 13 Apr 2024 not harvested
Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining 1 1 25 Mar 2024 not harvested
NAC: Mitigating Noisy Correspondence in Cross-Modal Matching Via Neighbor Auxiliary Corrector 0 1 18 Mar 2024 not harvested
REPAIR: Rank Correlation and Noisy Pair Half-replacing with Memory for Noisy Correspondence 0 1 13 Mar 2024 not harvested
Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval 1 1 8 Mar 2024 ran 8 of 10 samples (2 unverified; 10 pointer-only for licence)
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation 0 1 27 Dec 2023 not harvested
Cross-modal Active Complementary Learning with Self-refining Correspondence 1 1 26 Oct 2023 ran 23 of 28 samples (5 unverified; 28 pointer-only for licence)
Noisy Correspondence Learning with Meta Similarity Correction 1 1 13 Apr 2023 ran 2 of 2 samples (0 unverified)
BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency 1 1 22 Mar 2023 ran 9 of 11 samples (2 unverified; 11 pointer-only for licence)
Cross-Modal Retrieval with Partially Mismatched Pairs 1 1 22 Feb 2023 not harvested
Deep Evidential Learning with Noisy Correspondence for Cross-Modal Retrieval 1 1 10 Oct 2022 not harvested
Learning with Noisy Correspondence for Cross-modal Matching 1 1 1 Dec 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

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

  • CC152K

1 variant name, as the archive lists them.

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