doi
Datasets
All datasets matching “doi”HaramMusic_Dataset
HaramMusic Dataset v35.0 In-place
Binary audio dataset upgraded in place. Music is label 1; nonmusic is label 0.
The original v21.5 SQLite ledger is restored directly, so existing source
IDs, completed shards, queries and FLEURS locales are not repeated.
Existing speech is untouched. Curated FLEURS/VoxPopuli/MLS/AMI/MLSW/
LibriSpeech labels are trusted. Curated FMA CC0/CC-BY tracks add full-song
genre/artist variety and are sampled for voice-plus-music mixtures.
Mixed, uncertain… See the full description on the dataset page: https://huggingface.co/datasets/doirty/HaramMusic_Dataset.2382026_doithuHAIQUAN_THIEUdoityourself
Bangumi Image Base of Do It Yourself!!
This is the image base of bangumi Do It Yourself!!, we detected 46 characters, 5317 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).
Here is the… See the full description on the dataset page: https://huggingface.co/datasets/BangumiBase/doityourself.doitllfrom datasets import load_dataset, concatenate_datasets
# List of dataset paths
dataset_paths = [
"V3N0M/Jenna-50K-Alpaca-Uncensored",
"SaisExperiments/Alpaca-Uncensored",
"SaisExperiments/Big-Alpaca-Uncensored",
"xzuyn/open-instruct-uncensored-alpaca",
"xzuyn/tulu-uncensored-alpaca",
"xzuyn/tv-alpaca-open-instruct-uncensored-blend",
"dim/dolphin_flan1m_alpaca_uncensored_3k",
"dataautogpt3/flan1m-alpaca-uncensored",
"ShubhVenom/Uncensored-Alpaca-v01"… See the full description on the dataset page: https://huggingface.co/datasets/natemiller1928/doitll.reachy-doing-things
Reachy Doing Things Dataset
Overview
The Reachy Doing Things Images Dataset consists of images captured from the perspective of the Reachy humanoid robot. These images were taken during teleoperation sessions, providing a unique view of the environment as perceived by the robot during manipulation tasks. The images were captured with a RGBD camera mounted on the shoulder of the robot.
Purpose
This dataset is primarily aimed at testing and validating the… See the full description on the dataset page: https://huggingface.co/datasets/pollen-robotics/reachy-doing-things.ontology-doid
