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ner

rishitdagli /nerf-gs-datasetsI keep a collection compiled of existing datasets from various sources for training NeRFs or Splats. This dataset is most of that collection. All of the individual scenes also have a trained Gaussian Splat. https://rishit-dagli.github.io/2025/03/28/nerf-gs-datasets.html image1K<n<10K2 likes27k downloads1y agoHugging Facehf-internal-testing /ner-jsonltext10K<n<100K0 likes8.2k downloads1y agoHugging Faceneonmist /ner0 likes6k downloads1y agoHugging FaceDFKI-SLT /few-nerd Dataset Card for "Few-NERD" #dataset-description) Dataset Summary Supported Tasks and Leaderboards Languages Dataset Structure Data Instances Data Fields Data Splits Dataset Creation Curation Rationale Source Data Annotations Personal and Sensitive InformationConsiderations for Using the Data Social Impact of Dataset Discussion of Biases Other Known Limitations Additional Information Dataset Curators Licensing Information Citation Information Contributions Dataset… See the full description on the dataset page: https://huggingface.co/datasets/DFKI-SLT/few-nerd.texttoken-classification100K<n<1M22 likes4.5k downloads11mo agoHugging Facewengflow /robust-e-nerf Robust e-NeRF Synthetic Event Dataset This repository contains the synthetic event dataset used in Robust e-NeRF to study the collective effect of camera speed profile, contrast threshold variation and refractory period on the quality of NeRF reconstruction from a moving event camera. The dataset is simulated using an improved version of ESIM with three different camera configurations of increasing difficulty levels (i.e. easy, medium and hard)… See the full description on the dataset page: https://huggingface.co/datasets/wengflow/robust-e-nerf.n<1K0 likes4k downloads3y agoHugging FaceBiomedical-TeMU /ProfNER_corpus_NER Description Gold standard annotations for profession detection in Spanish COVID-19 tweets The entire corpus contains 10,000 annotated tweets. It has been split into training, validation, and test (60-20-20). The current version contains the training and development set of the shared task with Gold Standard annotations. In addition, it contains the unannotated test, and background sets will be released. For Named Entity Recognition, profession detection, annotations are distributed… See the full description on the dataset page: https://huggingface.co/datasets/Biomedical-TeMU/ProfNER_corpus_NER.text1 likes2.7k downloads5y agoHugging Face

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