datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Open-Sora-Plan-v1.0.0
Open-Sora-Dataset
Welcome to the Open-Sora-DataSet project! As part of the Open-Sora-Plan project, we specifically talk about the collection and processing of data sets. To build a high-quality video dataset for the open-source world, we started this project. 💪
We warmly welcome you to join us! Let's contribute to the open-source world together! Thank you for your support and contribution.
If you like our project, please give us a star ⭐ on GitHub for latest update.… See the full description on the dataset page: https://huggingface.co/datasets/LanguageBind/Open-Sora-Plan-v1.0.0.ureader-instruction-1.0majestrino-1.00-16xk5-sae-features
Majestrino 1.00 SAE — Feature Audio Samples (16x, k=5)
Top-2000 activating audio samples for each feature in the
Majestrino 1.00 SAE.
Overview
Metric
Value
SAE Architecture
16x expansion, k=5, d_model=768
Total Features
12,288
Alive Features
10,684
Audio per Feature
Up to 2,000 highest-activating
Audio Format
Opus (24 kbps OGG container)
Total TAR Files
1069
Source Dataset
laion/majestrino-data
File Structure
Each TAR file… See the full description on the dataset page: https://huggingface.co/datasets/laion/majestrino-1.00-16xk5-sae-features.Open-Sora-Plan-v1.0.0Open Sora plan collected 40,258 high-quality, watermark-free videos from open-source websites under the CC0 license. About 60% of the videos are in landscape format, with a total duration of approximately 274 hours, 5 minutes, and 13 seconds.
The dataset is divided into three main sources:
Mixkit:
Videos: 1,234
Total duration: 6h 19m 32s
Total frames: 570,815
Resolution and aspect ratio distributions (less than 1% not listed).
Pexels:
Videos: 7,408
Total duration: 48h 49m 24s
Total… See the full description on the dataset page: https://huggingface.co/datasets/Hemgg/Open-Sora-Plan-v1.0.0.stortinget_speech_corpus_v1.0
Dataset Card for Stortinget Speech Corpus V1.0
Overview
This is the WebDataset version of the Stortinget Speech Corpus V1.0, originally created by the National Library of Norway. We re-organize it into WebDataset format for better usability.
The Stortinget Speech Corpus (SSC) is a 5000+ hours speech dataset for weak supervision ASR created from audio andaligned proceedings text from Stortinget, the Norwegian Parliament. For more information, please refer to the original… See the full description on the dataset page: https://huggingface.co/datasets/Aalto-Speech-Synthesis/stortinget_speech_corpus_v1.0.objaverse-1.0-renderingsdroid_1.0.1-ara-cache