Nusa Crowd
A collaborative project to collect datasets in Indonesian languages.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Nusa Crowd | 247 | 4 months ago | 37 | apache-2.0 | Jupyter Notebook | |||||
| A collaborative project to collect datasets in Indonesian languages. | ||||||||||
| Freesound Datasets | 135 | 6 months ago | 24 | agpl-3.0 | Python | |||||
| A platform for the collaborative creation of open audio collections labeled by humans and based on Freesound content. | ||||||||||
| Oos Eval | 100 | 3 years ago | other | |||||||
| Repository that accompanies "An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction" (EMNLP 2019) | ||||||||||
| Medtagger | 82 | 2 years ago | 117 | apache-2.0 | Python | |||||
| A collaborative framework for annotating medical datasets using crowdsourcing. | ||||||||||
| Sketchyscene | 75 | 3 years ago | mit | Python | ||||||
| SketchyScene: Richly-Annotated Scene Sketches. (ECCV 2018) | ||||||||||
| Qamr | 40 | 2 years ago | 3 | mit | Scala | |||||
| Question-Answer Meaning Representation | ||||||||||
| Osdg Data | 20 | 6 months ago | gpl-3.0 | |||||||
| The OSDG Community Dataset (OSDG-CD) is a public dataset of thousands of text excerpts, validated by OSDG Community Platform (OSDG-CP) citizen scientists with respect to the Sustainable Development Goals (SDGs). The dataset is updated every quarter and published on Zenodo. | ||||||||||
| Perspectrum | 17 | 4 years ago | Jupyter Notebook | |||||||
| Perspectrum: a dataset of claims, perspectives and evidences | ||||||||||
| Streetview Crosswalk Classification | 15 | 3 years ago | Jupyter Notebook | |||||||
| Automatic Large-Scale Data Acquisition via Crowdsourcing for Crosswalk Classification: A Deep Learning Approach | ||||||||||
| Mamao App | 13 | 3 months ago | gpl-3.0 | JavaScript | ||||||
| An open-source platform designed for the crowdsourcing of sign language datasets. The project aims to foster a diverse and inclusive dataset, collected from a broad user base, to train and improve AI-driven sign language translation systems | ||||||||||
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