Datasets › DiDeMo

DiDeMo (Distinct Describable Moments)

Introduced by Lisa Anne Hendricks et al. in Localizing Moments in Video with Natural Language1 Jan 2017 archive 2025-07-28

The Distinct Describable Moments (DiDeMo) dataset is one of the largest and most diverse datasets for the temporal localization of events in videos given natural language descriptions. The videos are collected from Flickr and each video is trimmed to a maximum of 30 seconds. The videos in the dataset are divided into 5-second segments to reduce the complexity of annotation. The dataset is split into training, validation and test sets containing 8,395, 1,065 and 1,004 videos respectively. The dataset contains a total of 26,892 moments and one moment could be associated with descriptions from multiple annotators. The descriptions in DiDeMo dataset are detailed and contain camera movement, temporal transition indicators, and activities. Moreover, the descriptions in DiDeMo are verified so that each description refers to a single moment.

Source: Weakly Supervised Video Moment Retrieval From Text Queries Image Source: https://www.di.ens.fr/~miech/datasetviz/

Benchmarks archive 2025-07-28

All 3 leaderboards 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.

Papers archive 2025-07-28

30 shown of 46 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 216. 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
Gramian Multimodal Representation Learning and Alignment 2 2 16 Dec 2024 ran 2 of 12 samples (10 unverified)
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding 2 3 22 Mar 2024 not harvested
vid-TLDR: Training Free Token merging for Light-weight Video Transformer 1 2 20 Mar 2024 ran 3 of 4 samples (1 unverified)
RTQ: Rethinking Video-language Understanding Based on Image-text Model 2 1 1 Dec 2023 not harvested
TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding 1 1 29 Oct 2023 ran 11 of 15 samples (4 unverified)
LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment 6 2 3 Oct 2023 ran 7 of 14 samples (7 unverified)
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval 1 1 29 Sep 2023 ran 12 of 19 samples (7 unverified)
BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning 1 1 27 Sep 2023 ran 1 of 4 samples (3 unverified)
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning 1 1 20 Sep 2023 not harvested
COSA: Concatenated Sample Pretrained Vision-Language Foundation Model 1 1 15 Jun 2023 not harvested
VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset 2 2 29 May 2023 ran 15 of 42 samples (27 unverified)
VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending 0 1 22 May 2023 not harvested
VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset 1 1 17 Apr 2023 not harvested
Unmasked Teacher: Towards Training-Efficient Video Foundation Models 1 2 28 Mar 2023 ran 3 of 8 samples (5 unverified)
Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning 4 1 25 Mar 2023 ran 11 of 16 samples (5 unverified)
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model 4 2 17 Mar 2023 ran 5 of 6 samples (1 unverified)
MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling 0 1 10 Mar 2023 not harvested
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video 4 2 1 Feb 2023 ran 9 of 19 samples (10 unverified)
Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge Transferring 1 1 26 Jan 2023 not harvested
Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval? 4 1 31 Dec 2022 ran 14 of 25 samples (11 unverified)
HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training 0 3 30 Dec 2022 not harvested
VindLU: A Recipe for Effective Video-and-Language Pretraining 1 1 9 Dec 2022 not harvested
InternVideo: General Video Foundation Models via Generative and Discriminative Learning 2 2 6 Dec 2022 ran 3 of 3 samples (0 unverified)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks 0 2 15 Sep 2022 not harvested
CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment 1 1 14 Sep 2022 ran 4 of 4 samples (0 unverified; 4 pointer-only for licence)
An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling 1 1 4 Sep 2022 not harvested
Clover: Towards A Unified Video-Language Alignment and Fusion Model 1 2 16 Jul 2022 not harvested
X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval 3 1 15 Jul 2022 ran 1 of 2 samples (1 unverified; 1 pointer-only for licence)
LaT: Latent Translation with Cycle-Consistency for Video-Text Retrieval 0 1 11 Jul 2022 not harvested
Revealing Single Frame Bias for Video-and-Language Learning 2 3 7 Jun 2022 ran 4 of 12 samples (8 unverified)

The full list of 46 is in the JSON twin.

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

License archive 2025-07-28

BSD 2-Clause

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • DiDeMo

1 variant name, as the archive lists them.

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