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nyuuzyou

nyuuzyou
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New activity 2 days ago
nyuuzyou/tamago:[bot] Conversion to Parquet
Reacted to AkimfromParis's post with ❀️ 3 days ago
πŸ‡―πŸ‡΅ The Open Japanese LLM Leaderboard created by LLM-jp 🌸 in partnership with HuggingFace πŸ€— was released today! Blog: https://huggingface.co/blog/leaderboard-japanese Space: https://huggingface.co/spaces/llm-jp/open-japanese-llm-leaderboard 🌍 The leaderboard is available in both Japanese and English πŸ“š Based on the evaluation tool, llm-jp-eval with more than 20 datasets for Japanese LLMs πŸ“Š The leaderboard showcases all the metrics for NLP experts, plus averages for NLP beginners πŸ’» For the comfort of users, we chose a horizontal UI, and implemented it in a light and dark theme on Gradio πŸ”¬ The radar chart provides a very interesting visualization of metrics! 🌱 We are using the Japanese research platform, MDX, so please be patient! ⚑ LLMs bigger than +70B will be evaluated soon… How do you say β€œGPUs Go Brrr” in Japanese - > GPUγŒγƒ–γƒ³γƒ–γƒ³ο½ž! (To pronounce "GPU ga bunbun!") πŸ”₯
posted an update 3 days ago
🎡 Introducing Tamago Music Dataset - https://huggingface.co/datasets/nyuuzyou/tamago A collection of 1,567 music tracks featuring: - Complete metadata with audio files and cover artwork - Rich track information including titles, descriptions, and genres - User engagement metrics like play counts and reactions - English language content from independent artists - Released under Creative Commons Zero (CC0) license Dataset structure includes: - Track metadata (titles, descriptions, genres, tags) - Associated media (audio files, cover images) - Artist information and engagement metrics Particularly valuable for: - Music generation model training - Cross-modal analysis - Audio classification tasks - Music style and genre analysis
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🎡 Introducing Tamago Music Dataset - nyuuzyou/tamago

A collection of 1,567 music tracks featuring:

- Complete metadata with audio files and cover artwork
- Rich track information including titles, descriptions, and genres
- User engagement metrics like play counts and reactions
- English language content from independent artists
- Released under Creative Commons Zero (CC0) license

Dataset structure includes:
- Track metadata (titles, descriptions, genres, tags)
- Associated media (audio files, cover images)
- Artist information and engagement metrics

Particularly valuable for:
- Music generation model training
- Cross-modal analysis
- Audio classification tasks
- Music style and genre analysis
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914
πŸ–ΌοΈ Introducing Public Domain Pictures Dataset - nyuuzyou/publicdomainpictures

Dataset highlights:
- 644,412 public domain images with comprehensive metadata from publicdomainpictures.net
- English language metadata including titles, descriptions, and keywords
- Each entry contains rich metadata including:
- Unique image ID and full-size image URLs
- Detailed titles and descriptions
- Keyword/tag collections
- Creator attribution
- Released to the public domain under Creative Commons Zero (CC0) license
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