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01links-ads /fmars-dataset FMARS: Foundation Model Annotations for Remote Sensing Images FMARS is a large-scale dataset of Very High Resolution (VHR) remote sensing images with annotations generated using Vision Foundation Models. The dataset focuses on disaster management applications and provides pre-event imagery and annotations for major crisis events worldwide from 2021 to 2023. Paper: https://arxiv.org/abs/2405.20109 Dataset Features VHR Imagery: The dataset uses pre-event VHR… See the full description on the dataset page: https://huggingface.co/datasets/links-ads/fmars-dataset.tabular10M<n<100M2 likes3.3k downloads8mo agoHugging Face02links-ads /wildfire-risk-static-datageospatial1M<n<10M0 likes180 downloads12h agoHugging Face03cometadata /arxiv-software-repo-links arXiv Software Repository Links A dataset mapping arXiv papers (via DOI) to software repositories they reference or which are implementations of the work. Additionaly includes co-citation analysis and community clustering. Implementation detection is conducted using the evamxb/dev-author-em-clf model from sci-soft-models Quick Start from datasets import load_dataset # Load DOI-to-repo links links = load_dataset("cometadata/arxiv-software-repo-links", "links") #… See the full description on the dataset page: https://huggingface.co/datasets/cometadata/arxiv-software-repo-links.tabulartext-classification1M<n<10M0 likes143 downloads4mo agoHugging Face04OrderDraconis /act_phase2align_Varianz_rechts_links_20260916_124805This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 30, "features": { "action": { "dtype": "float32", "names": [ "left_shoulder_pan.pos", "left_shoulder_lift.pos", "left_elbow_flex.pos", "left_wrist_flex.pos", "left_wrist_roll.pos", "left_gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/OrderDraconis/act_phase2align_Varianz_rechts_links_20260916_124805.tabularrobotics10K<n<100K0 likes103 downloads8d agoHugging Face05Linkseed /hacker_news_with_comments Dataset Card for [Dataset Name] Dataset Summary Hacker news until 2015 with comments. Collect from Google BigQuery open dataset. We didn't do any pre-processing except remove HTML tags. Supported Tasks and Leaderboards Comment Generation; News analysis with comments; Other comment-based NLP tasks. Languages English Data Fields [More Information Needed] Data Splits [More Information Needed] Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/Linkseed/hacker_news_with_comments.tabulartext-generation1M<n<10M6 likes94 downloads4y agoHugging Face06Zuru7 /Spotify_Songs_with_SoundCloud_linkstabular10K<n<100K1 likes69 downloads2y agoHugging Face07rafidirtiza /arxiv-software-repo-links arXiv Software Repository Links A dataset mapping arXiv papers (via DOI) to software repositories they reference or which are implementations of the work. Additionaly includes co-citation analysis and community clustering. Implementation detection is conducted using the evamxb/dev-author-em-clf model from sci-soft-models Quick Start from datasets import load_dataset # Load DOI-to-repo links links = load_dataset("cometadata/arxiv-software-repo-links", "links") #… See the full description on the dataset page: https://huggingface.co/datasets/rafidirtiza/arxiv-software-repo-links.tabulartext-classification1M<n<10M0 likes44 downloads3mo agoHugging Face08jc4p /farcaster-links Farcaster Public Links Dataset This dataset contains public follow relationships from the Farcaster social protocol that have not been deleted by their authors. The dataset includes comprehensive metadata for each link, allowing for detailed analysis of the social graph in the Farcaster ecosystem. Dataset Description The dataset contains the following fields for each active link: Fid: The Farcaster ID of the user who created the link MessageType: Type of message (all are… See the full description on the dataset page: https://huggingface.co/datasets/jc4p/farcaster-links.tabular100M<n<1B2 likes30 downloads1y agoHugging Face09Vikhrmodels /2ch-24-09-2024-no-linkstabular10K<n<100K3 likes26 downloads2y agoHugging Face10dim /povarenok_links Dataset Card for "povarenok_links" More Information needed tabular10K<n<100K0 likes16 downloads3y agoHugging Face11links-ads /nodes-datasetsgeospatial1M<n<10M0 likes15 downloads10mo agoHugging Face12NLP-UniBW /linksunten_classifiedtabular10K<n<100K0 likes14 downloads4mo agoHugging Face13SinclairSchneider /linksuntentabular10K<n<100K0 likes12 downloads1y agoHugging Face14links7 /soarm_101_2_20260605_153821tabular1K<n<10K0 likes12 downloads4mo agoHugging Face15cc-platform-links /platform-urls-sample-roberta-tiny-filtered Dataset Card for "platform-urls-sample-roberta-tiny-filtered" More Information needed tabular10K<n<100K0 likes11 downloads3y agoHugging Face16hwaseem04 /sample-linkstabular100K<n<1M0 likes11 downloads2y agoHugging Face17hcsolakoglu /turkish-podcast-linksgated Turkish Podcast RSS Links This dataset contains podcast RSS feed metadata for podcasts classified as Turkish by both lingua-py and fast-langdetect. It includes only feed metadata and URLs (e.g., RSS URLs), not any podcast audio or episode content. Why and how was it built? I wanted to create this dataset because I could not find an existing one that met my needs. I then downloaded the Podcast Index dataset, which contains 4.5 million podcasts globally. Although entries… See the full description on the dataset page: https://huggingface.co/datasets/hcsolakoglu/turkish-podcast-links.imageaudio-classification10K<n<100K0 likes8 downloads8mo agoHugging Face18SinclairSchneider /tweets_with_suspicious_linkstabular100K<n<1M0 likes8 downloads7mo agoHugging Face19laion /podcast-linkstabular10M<n<100M3 likes6 downloads1y agoHugging Face20tungvu3196 /vlm-data-with-images-linkstabular10K<n<100K0 likes5 downloads2y agoHugging Face21netseecxld /link-scrap3rtabularn<1K1 likes5 downloads3mo agoHugging Face22PaDaS-Lab /wikipedia-ref-links-20260101gated Wikipedia Multilingual Dataset This dataset contains 10 language configurations, each with its own train split. The data for each config is stored in its respective subfolder. Usage Example from datasets import load_dataset # Load the 'eng' config eng_ds = load_dataset("danghaidang-passau/wikipedia-ref-links-20260101", name="eng") # Load the 'ger' config ger_ds = load_dataset("danghaidang-passau/wikipedia-ref-links-20260101", name="ger") tabular10M<n<100M0 likes4 downloads7mo agoHugging Face23gaygaaa /LINKS_SMALLtabular1K<n<10K0 likes2 downloads3y agoHugging Face24gaygaaa /LINKStabular10K<n<100K0 likes1 downloads3y agoHugging Face

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