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01allenai /Molmo2-VideoPoint Molmo2-VideoPoint Molmo2-VideoPoint is a dataset of video pointing data collected from human annotators. It can be used to fine-tune vision-language models for video grounding by pointing. Molmo2-VideoPoint is part of the Molmo2 dataset collection and was used to train the Molmo2 family of models. Quick links: 📃 Paper 🎥 Blog with Videos Usage from datasets import load_dataset # Load entire dataset ds = load_dataset("allenai/Molmo2-VideoPoint", split="train") #… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Molmo2-VideoPoint.tabular1M<n<10M10 likes754 downloads6mo agoHugging Face02michalsr /molmo2-moments Molmo-2 Moments (M2M) Long-video QA dataset where every question is anchored to a specific [start, end] clip interval in seconds. Released alongside the ToolMerge paper, "Decomposing Queries into Tool Calls for Long-Video Keyframe Retrieval". ⚠️ Source videos & ownership The videos/*.mp4 files in this repository were collected from YouTube. We do not own these videos and claim no copyright over them. All rights to the video content remain with the original… See the full description on the dataset page: https://huggingface.co/datasets/michalsr/molmo2-moments.tabularvideo-text-to-text10K<n<100K0 likes298 downloads2mo agoHugging Face03allenai /Molmo2-VideoTrack Molmo2-VideoTrack Molmo2-VideoTrack is a dataset of video point tracking annotations collected from human annotators across 16 video datasets. It can be used to fine-tune vision-language models for video object tracking via point trajectories. Molmo2-VideoTrack is part of the Molmo2 dataset collection and was used to train the Molmo2 family of models. Quick links: 📃 Paper 🎥 Blog with Videos Usage from datasets import load_dataset # Load entire dataset ds =… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Molmo2-VideoTrack.tabular10K<n<100K5 likes296 downloads9mo agoHugging Face04allenai /Molmo2-TVQAtabular100K<n<1M0 likes233 downloads7mo agoHugging Face05allenai /molmo2-single-object-track Single Object Tracking Dataset with Point as Input Video object tracking annotations for single object tracking, where the input is a single point. This dataset is derived from the original datasets by converting bbox annotations to point tracks. Each config corresponds to a different source dataset. All share the same task (single_point_track) and schema. Configs Config Description Splits all (default) All source datasets combined train lvosv1 lvosv1 single… See the full description on the dataset page: https://huggingface.co/datasets/allenai/molmo2-single-object-track.tabularvideo-classification100K<n<1M1 likes217 downloads7mo agoHugging Face06allenai /Molmo2-VideoTrackEval Molmo2-VideoTrackEval Molmo2-VideoTrackEval is an evaluation benchmark for video point tracking, containing human-annotated ground truth expressions. It includes segmentation masks for evaluating whether predicted points fall within the correct object regions. Currently, there are five categories for evaluation: animal dance sports person misc This benchmark is part of the Molmo2 dataset collection and is used to evaluate the Molmo2 family of models on video object tracking via… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Molmo2-VideoTrackEval.tabular1K<n<10K3 likes148 downloads9mo agoHugging Face07allenai /Molmo2-VideoPointEval Molmo2-VideoPointEval Molmo2-VideoPointEval is a validation set of Molmo2-VideoPoint video pointing data collected from human annotators. It can be used to evaluate vision-language models' video pointing capability. Molmo2-VideoPointEval is part of the Molmo2 dataset collection and was used to evaluate the Molmo2 family of models. Quick links: 📃 Paper 🎥 Blog with Videos Data Format video_source: There are three video sources: youtube, generated and MammalNet.… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Molmo2-VideoPointEval.tabularn<1K2 likes125 downloads7mo agoHugging Face08allenai /molmo2-mevis mevis Tracking Dataset Video object tracking annotations for mevis. Configs Config Description Splits track (default) Track points across all frames train, valid_u ground First and last appearance of points train single_point_track Given starting point, track to end train Usage from datasets import load_dataset # Default (track) ds = load_dataset("allenai/molmo2-mevis", split="train") # Specific config ds =… See the full description on the dataset page: https://huggingface.co/datasets/allenai/molmo2-mevis.tabularvideo-classification100K<n<1M2 likes110 downloads7mo agoHugging Face09allenai /molmo2-vicas vicas Tracking Dataset Video object tracking annotations for vicas. Configs Config Description Splits track (default) Track points across all frames train ground First and last appearance of points train single_point_track Given starting point, track to end train Usage from datasets import load_dataset # Default (track) ds = load_dataset("allenai/molmo2-vicas", split="train") # Specific config ds = load_dataset("allenai/molmo2-vicas"… See the full description on the dataset page: https://huggingface.co/datasets/allenai/molmo2-vicas.tabularvideo-classification100K<n<1M1 likes109 downloads7mo agoHugging Face10allenai /molmo2-track-instructiontabular100K<n<1M1 likes108 downloads7mo agoHugging Face11allenai /molmo2-yt-vis yt-vis Tracking Dataset Video object tracking annotations for yt-vis. Configs Config Description Splits track (default) Track points across all frames train Usage from datasets import load_dataset # Default (track) ds = load_dataset("allenai/molmo2-yt-vis", split="train") # Specific config ds = load_dataset("allenai/molmo2-yt-vis", "ground", split="train") tabularvideo-classification1K<n<10K0 likes100 downloads1mo agoHugging Face12allenai /Molmo2-VideoCountEval Molmo2-VideoCountEval Molmo2-VideoCountEval is a validation set of video pointing data collected from human annotators. It can be used to evaluate vision-language models' video counting capability. Molmo2-VideoCountEval is part of the Molmo2 dataset collection and was used to evaluate the Molmo2 family of models. Quick links: 📃 Paper 🎥 Blog with Videos Data Format video_source: There are two video sources: youtube, and MammalNet. For YouTube videos, you need to… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Molmo2-VideoCountEval.tabularn<1K2 likes89 downloads7mo agoHugging Face13allenai /molmo2-ref-davis17 ref-davis17 Tracking Dataset Video object tracking annotations for ref-davis17. Configs Config Description Splits track (default) Track points across all frames train, valid Usage from datasets import load_dataset # Default (track) ds = load_dataset("allenai/molmo2-ref-davis17", split="train") # Specific config ds = load_dataset("allenai/molmo2-ref-davis17", "ground", split="train") tabularvideo-classification1K<n<10K0 likes73 downloads7mo agoHugging Face14allenai /molmo2-academic-video-points AcademicTrackingPoints Video object tracking point annotations derived from academic video segmentation and tracking benchmarks. Each row contains per-frame point locations for tracked objects across video clips, along with category labels, frame metadata, and object counts. Subsets Subset Description Train Val lvvis Large Vocabulary Video Instance Segmentation yes yes ovis Occluded Video Instance Segmentation yes burst Benchmark for Unifying Recognition… See the full description on the dataset page: https://huggingface.co/datasets/allenai/molmo2-academic-video-points.tabular10K<n<100K0 likes63 downloads7mo agoHugging Face15allenai /molmo2-ref-yt-vos ref-yt-vos Tracking Dataset Video object tracking annotations for ref-yt-vos. Configs Config Description Splits track (default) Track points across all frames train, valid Usage from datasets import load_dataset # Default (track) ds = load_dataset("allenai/molmo2-ref-yt-vos", split="train") # Specific config ds = load_dataset("allenai/molmo2-ref-yt-vos", "ground", split="train") tabularvideo-classification10K<n<100K1 likes62 downloads7mo agoHugging Face16allenai /molmo2-burst burst Tracking Dataset Video object tracking annotations for burst. Configs Config Description Splits track (default) Track points across all frames train ground First and last appearance of points train single_point_track Given starting point, track to end train Usage from datasets import load_dataset # Default (track) ds = load_dataset("allenai/molmo2-burst", split="train") # Specific config ds = load_dataset("allenai/molmo2-burst"… See the full description on the dataset page: https://huggingface.co/datasets/allenai/molmo2-burst.tabularvideo-classification1K<n<10K0 likes61 downloads7mo agoHugging Face17allenai /molmo2-lv-vis lv-vis Tracking Dataset Video object tracking annotations for lv-vis. Configs Config Description Splits track (default) Track points across all frames train ground First and last appearance of points train single_point_track Given starting point, track to end train Usage from datasets import load_dataset # Default (track) ds = load_dataset("allenai/molmo2-lv-vis", split="train") # Specific config ds =… See the full description on the dataset page: https://huggingface.co/datasets/allenai/molmo2-lv-vis.tabularvideo-classification10K<n<100K1 likes61 downloads7mo agoHugging Face18allenai /Molmo2-CapEval Molmo2-CapEval Molmo2-CapEval is a dataset of very long, detailed video captions from multiple annotators per video. It can be used to test the caption capability of vision-language models. Molmo2-Cap is part of the Molmo2 dataset collection and was used to test the Molmo2 family of models. Quick links: 📃 Paper 🎥 Blog with Videos Evaluation code Please check out the caption_eval.py file for caption evaluation used in Molmo2 paper. Prepare videos… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Molmo2-CapEval.tabularn<1K3 likes56 downloads7mo agoHugging Face19allenai /molmo2-revos revos Tracking Dataset Video object tracking annotations for revos. Configs Config Description Splits track (default) Track points across all frames train ground First and last appearance of points train single_point_track Given starting point, track to end train Usage from datasets import load_dataset # Default (track) ds = load_dataset("allenai/molmo2-revos", split="train") # Specific config ds = load_dataset("allenai/molmo2-revos"… See the full description on the dataset page: https://huggingface.co/datasets/allenai/molmo2-revos.tabularvideo-classification10K<n<100K0 likes51 downloads7mo agoHugging Face20allenai /molmo2-reasonvos reasonvos Tracking Dataset Video object tracking annotations for reasonvos. Configs Config Description Splits track (default) Track points across all frames test Usage from datasets import load_dataset # Default (track) ds = load_dataset("allenai/molmo2-reasonvos", split="train") # Specific config ds = load_dataset("allenai/molmo2-reasonvos", "ground", split="train") tabularvideo-classificationn<1K1 likes48 downloads7mo agoHugging Face21allenai /molmo2-moca moca Tracking Dataset Video object tracking annotations for moca. Configs Config Description Splits track (default) Track points across all frames train ground First and last appearance of points train Usage from datasets import load_dataset # Default (track) ds = load_dataset("allenai/molmo2-moca", split="train") # Specific config ds = load_dataset("allenai/molmo2-moca", "ground", split="train") tabularvideo-classificationn<1K0 likes46 downloads7mo agoHugging Face22allenai /molmo2-mevis-valid mevis-valid Tracking Dataset Video object tracking annotations for mevis-valid. Configs Config Description Splits track (default) Track points across all frames valid Usage from datasets import load_dataset # Default (track) ds = load_dataset("allenai/molmo2-mevis-valid", split="train") # Specific config ds = load_dataset("allenai/molmo2-mevis-valid", "ground", split="train") tabularvideo-classification1K<n<10K0 likes40 downloads7mo agoHugging Face23allenai /Molmo2-Countixtabular1K<n<10K0 likes29 downloads7mo agoHugging Face24allenai /Molmo2-NewsVideoQAtabular1K<n<10K0 likes18 downloads7mo agoHugging Face25lessen1024 /Molmo2-VideoPoint Molmo2-VideoPoint Molmo2-VideoPoint is a dataset of video pointing data collected from human annotators. It can be used to fine-tune vision-language models for video grounding by pointing. Molmo2-VideoPoint is part of the Molmo2 dataset collection and was used to train the Molmo2 family of models. Quick links: 📃 Paper 🎥 Blog with Videos Usage from datasets import load_dataset # Load entire dataset ds = load_dataset("allenai/Molmo2-VideoPoint", split="train") #… See the full description on the dataset page: https://huggingface.co/datasets/lessen1024/Molmo2-VideoPoint.tabular1M<n<10M0 likes6 downloads8mo agoHugging Face

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