tokyo
Qwen3-Swallow-32B-RL-v0.2-AWQ-INT4Qwen3-Swallow-32B-RL-v0.2Llama-3-Swallow-8B-Instruct-v0.1tokyotech-llm-Swallow-13b-instruct-v0.1-ggufLlama-3.1-Swallow-8B-Instruct-v0.5tokyotech-llm_-_Swallow-13b-instruct-v0.1-gguftokyotech-llm-Swallow-MS-7b-instruct-v0.1-gguftokyotech-llm-Swallow-70b-instruct-v0.1-gguf
Datasets
All datasets matching “tokyo”swallow-math-v2
SwallowMath-v2
Resources
📑 arXiv: Read our paper for detailed methodology at arXiv:2505.02881.
🤗 Sister Dataset: Discover SwallowCode2, our companion dataset for code generation.
🧮 What is it?
SwallowMath-v2 is a large-scale mathematical dataset containing 32 billion tokens, developed as the successor to SwallowMath-v1.
Building on the success of v1, this release aims to construct a larger-scale and more permissively licensed corpus to support open and… See the full description on the dataset page: https://huggingface.co/datasets/tokyotech-llm/swallow-math-v2.swallow-code-v2
SwallowCode-v2
Resources
📑 arXiv: Read our paper for detailed methodology and results at arXiv:2505.02881.
🤗 Sister Dataset: Discover SwallowMath-v2, our companion dataset for mathematical reasoning.
💻 What is it?
SwallowCode-v1 was a high-quality Python code dataset generated through an LLM-based rewriting pipeline.
However, it had two significant limitations:
(1) it was distributed under the Llama 3.3 Community License, and
(2) its size was limited to… See the full description on the dataset page: https://huggingface.co/datasets/tokyotech-llm/swallow-code-v2.RAM-W600
Dataset Card for RAM-W600
Benchmark code is available in https://github.com/YSongxiao/RAM-W600.
Download
Please run the following command to download RAM-W600:
git clone https://huggingface.co/datasets/TokyoTechMagicYang/RAM-W600
BoneSegmentation Mask Channel Mapping
The BoneSegmentation masks are stored as 14-channel .npy arrays with shape:
(14, H, W)
Each channel is a binary mask for one anatomical structure. The official channel order is:… See the full description on the dataset page: https://huggingface.co/datasets/TokyoTechMagicYang/RAM-W600.RAM-H1200-v1
[NeurIPS 2026] RAM-H1200
Dataset Summary
RAM-H1200 is a multi-task full-hand radiograph dataset for rheumatoid arthritis (RA) related image analysis. It is designed to support several clinically relevant computer vision tasks, including:
hand bone structure segmentation
bone erosion related segmentation
joint localization for Sharp/van der Heijde (SvdH) scoring
joint-level SvdH bone erosion (BE) scoring
joint-level SvdH joint space narrowing (JSN) scoring
The… See the full description on the dataset page: https://huggingface.co/datasets/TokyoTechMagicYang/RAM-H1200-v1.LiquidAI-Hackathon-Tokyo-CPT-Data
LiquidAI-Hackathon-Tokyo-CPT-Data
Liquid AI Hackathon Tokyoで作成したモデルのCPTに利用したデータセットです。
tokyomewmewnew
Bangumi Image Base of Tokyo Mew Mew New ♡
This is the image base of bangumi Tokyo Mew Mew New ♡, we detected 118 characters, 12865 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… See the full description on the dataset page: https://huggingface.co/datasets/BangumiBase/tokyomewmewnew.