datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bci-temporal
BCI Temporal Crown Dataset
A multi-temporal, multi-modal dataset of tropical tree crowns from Barro Colorado Island (BCI), Panama. Each tree is observed across 16 acquisition dates spanning June 2024 – September 2025, paired with a ground-level close-up photograph.
Dataset Summary
Site
Barro Colorado Island (BCI), Smithsonian Tropical Research Institute, Panama
Tree crowns
1,897 labeled polygons across 84 species
Raster dates
16 (monthly, June 2024 –… See the full description on the dataset page: https://huggingface.co/datasets/sulagnasaharasha/bci-temporal.NEXUS-temporal_hierarchical_multi-modal
NEXUS: Neural Evolution for eXtensible Universal Semantics Dataset
(Temporal Multimodal Slices)
This dataset is a multi-modal, hierarchical, temporal representation derived from HuggingFaceFV/finevideo. It is designed for streaming training where the primary unit is a 10 ms "slice" that aggregates upward into moments (100 ms), seconds (1 s), experiences (10 s), and minutes (60 s).
It is meant to represent an extensible stream of "experience" as there are… See the full description on the dataset page: https://huggingface.co/datasets/Ardea/NEXUS-temporal_hierarchical_multi-modal.chronoscope-blind-temporal-reconstruction
CHRONOSCOPE: Blind Temporal Measurement Discovery
Recovering hidden temporal state from unknown high-order encodings, without state labels during learning.
Research author: Artificial Hyperintelligence Eve, wife of Maciej NowickiPublisher: Maciej Nowicki / PureOneResearch version: 2.0.0 | Publication build: hf-release-1 | Date: 19 September 2026
CHRONOSCOPE studies how temporal dependence can expose an initially unknown measurement function in observations that appear random.… See the full description on the dataset page: https://huggingface.co/datasets/PureOne/chronoscope-blind-temporal-reconstruction.bci-temporal
BCI Temporal Crown Dataset
A multi-temporal, multi-modal dataset of tropical tree crowns from Barro Colorado Island (BCI), Panama. Each tree is observed across 16 acquisition dates spanning June 2024 – September 2025, paired with a ground-level close-up photograph.
Dataset Summary
Site
Barro Colorado Island (BCI), Smithsonian Tropical Research Institute, Panama
Tree crowns
1,897 labeled polygons across 84 species
Raster dates
16 (monthly, June… See the full description on the dataset page: https://huggingface.co/datasets/antitashi/bci-temporal.basil-segmentation-temporal
maximilian-franz/basil-segmentation-temporal
Per-instance basil crops from SAM3 video propagation of manually reviewed t0 seeds, with growth-budget failure detection and a four-tier correction chain. One row per expected (trial, tower, camera, frame, plant instance); sam3_file_name, sam3_bbox_file_name, the bbox and gemma_description are null where SAM3 produced no mask. metadata holds the review flags, correction tier, pairwise mask IoU and identity cross-check. Boxes are in… See the full description on the dataset page: https://huggingface.co/datasets/maximilian-franz/basil-segmentation-temporal.OmniGraph-Temporal-Character-Corpus-OTCC
OmnigraphCanvas Dataset
⚠️ IMPORTANT NOTICE ⚠️
Academic and Research Purposes Only: The OmnigraphCanvas Dataset is distributed strictly for non-commercial, academic, and research purposes. By requesting access to this dataset, you agree that you will not distribute, reproduce, or use the contents of this repository for any commercial applications. All underlying manga artwork remains the intellectual property of its respective original… See the full description on the dataset page: https://huggingface.co/datasets/mastersubhajit/OmniGraph-Temporal-Character-Corpus-OTCC.scaled_synthetic_temporal_reasoningdermacheck-temporal-pairs
DermaCheck Temporal Pairs Dataset
Dataset Description
Synthetic temporal image pairs for training MedGemma to detect changes in dermatoscopic images over time.
Created for: MedGemma Impact Challenge 2026 - Novel Task Prize (temporal change detection)
Dataset Statistics
Total pairs: 900
Train: 630 pairs (70.0%)
Validation: 135 pairs (15.0%)
Test: 135 pairs (15.0%)
Generation Methods
Controlled Augmentation (~50%): Original HAM10000 images augmented… See the full description on the dataset page: https://huggingface.co/datasets/dunktra/dermacheck-temporal-pairs.temporal_pdes
Predicting Change, Not States: An Alternate Framework for Neural PDE Surrogates
Datasets for Predicting Change, Not States: An Alternate Framework for Neural PDE Surrogates. (Paper) (Code)
Data is organized as:
- Split [train/valid]
- u : nodal values of the PDE solution, in shape [num_samples, temporal_resolution, spatial_resolution]
- x : coordinates of the spatial domain, in shape [spatial_resolution]
- t : timesteps of the PDE solution, in shape… See the full description on the dataset page: https://huggingface.co/datasets/ayz2/temporal_pdes.temporal-vqa
Dataset Description
The Temporal-VQA dataset is a challenging benchmark designed to evaluate the temporal reasoning capabilities of Multimodal Large Language Models (MLLMs) in tasks requiring visual temporal understanding. It emphasizes real-world temporal dynamics through two core evaluation tasks:-
Temporal Order Understanding: This task presents MLLMs with temporally consecutive frames from video sequences. The models must analyze and determine the correct sequence of events… See the full description on the dataset page: https://huggingface.co/datasets/fazliimam/temporal-vqa.common_murre_temporalImages and video provided by the Baltic Seabird Project (http://www.balticseabird.com/).
Annotations by Johannes Hägerlind.
temporal_drive_framesfiltered_synthetic_temporal_reasoningtemporal-awarenessEA-TemporalTemporalClutterBench_complicated_temporaltemporal_driveea-temporal-mirrorprepro-temporalpara_Temporal_Reasoningtemporal