titan
Datasets
All datasets matching “titan”tcga-brca-titan-idc-ilc
tcga-brca-titan-idc-ilc
1. Tổng quan
[CẦN ĐIỀN THỦ CÔNG: mục đích, ngữ cảnh tạo dataset]
Tổng số bản ghi (cộng tất cả manifest phát hiện được): 4228
Số manifest phát hiện được trong bộ nhớ: 3 (df, brca_df, full_df)
Repo HuggingFace: okbro1234/tcga-brca-titan-idc-ilc
2. Cấu trúc lưu trữ tại đích
/ # suy từ hàm `HfApi`
file.txt # suy từ hàm `HfApi`
lfs.bin # suy từ hàm `HfApi`
shard_{i}_of_5.bin # suy từ hàm `HfApi`
remote/file/path.h5 #… See the full description on the dataset page: https://huggingface.co/datasets/okbro1234/tcga-brca-titan-idc-ilc.Titan-Immersion-CDNTitan25
Titan25
Titan25 is an MLIP dataset constructed with GAIA.
It comprises 1.8M data points across 11 elements (C, H, N, O, Ag, Au, Cu, Pd, Pt, Rh, Ru),
which supports the development of MLIPs that robustly capture general chemical reactions, including interfacial processes.
To accelerate MLIP training, we recommend converting .extxyz files to .lmdb or similar formats.
GAIA paper includes
full details on the construction of the dataset
the evaluation results on the dataset
We also… See the full description on the dataset page: https://huggingface.co/datasets/aixsim/Titan25.Titan-CV-Agent-Benchmark
Titan CV Agent Benchmark
[中文版]
The Titan CV Benchmark is primarily designed to evaluate the performance of AGENTS in the field of computer vision (CV). We have collected more than 200 test examples to comprehensively test the performance of the agent, particularly their capability to solve problems step by step.
[!IMPORTANT]
Demo Video: https://youtu.be/dcUb4lUnGj4
Github: https://github.com/DataCanvasAILab/Titan-CV-Agent-Benchmark
Media files are also available for download via… See the full description on the dataset page: https://huggingface.co/datasets/DataCanvasAILab/Titan-CV-Agent-Benchmark.titanbench
TitanBench: A Benchmark for Agentic RTL Design and Verification
TitanBench evaluates agentic AI systems on chip design and verification (DV) tasks derived from the OpenTitan open-source SoC. The agent runs inside a containerised OpenTitan source tree and must locate the relevant RTL, register specifications, testplan descriptions, and testbench infrastructure on its own, then submit a solution that survives the upstream UVM regression flow.
This dataset is a read-only mirror of the… See the full description on the dataset page: https://huggingface.co/datasets/billshockley/titanbench.titanicThe legendary Titanic dataset from this Kaggle competition