asc
Datasets
All datasets matching “asc”P2PEvalascad-v2-1
ascad-v2-1
This script downloads, extracts, and uploads the optimized ASCAD v2 (1-100k traces) dataset to Hugging Face Hub.
Dataset Structure
This dataset is stored in Zarr format, optimized for chunked and compressed cloud storage.
Traces (/traces)
Shape: [100000, 1000000] (Traces x Time Samples)
Data Type: int8
Chunk Shape: [50000, 200]
Metadata (/metadata)
ciphertext: shape [100000, 16], dtype uint8
key: shape [100000, 16], dtype uint8
mask:… See the full description on the dataset page: https://huggingface.co/datasets/DLSCA/ascad-v2-1.ASCEND
Dataset Card for ASCEND
Dataset Summary
ASCEND (A Spontaneous Chinese-English Dataset) introduces a high-quality resource of spontaneous multi-turn conversational dialogue Chinese-English code-switching corpus collected in Hong Kong. ASCEND consists of 10.62 hours of spontaneous speech with a total of ~12.3K utterances. The corpus is split into 3 sets: training, validation, and test with a ratio of 8:1:1 while maintaining a balanced gender proportion on each set.… See the full description on the dataset page: https://huggingface.co/datasets/CAiRE/ASCEND.ASCII_Alphabet_Dataset_571_Fonts
Dataset Description
This dataset provides programmatically generated ASCII representations of the English alphabet rendered using 571 fonts from the PyFiglet library. Each letter (A–Z) is available in multiple typographic styles, resulting in a structured and high-variability dataset suitable for research, experimentation, and creative applications.
The dataset was created to support tasks involving text-based pattern recognition, synthetic data generation, typography analysis, and… See the full description on the dataset page: https://huggingface.co/datasets/beta3/ASCII_Alphabet_Dataset_571_Fonts.kklt_de_sitterAsclepius-Synthetic-Clinical-Notes
Asclepius: Synthetic Clincal Notes & Instruction Dataset
Dataset Summary
This dataset is official dataset for Asclepius (arxiv)
This dataset is composed with Clinical Note - Question - Answer format to build a clinical LLMs.
We first synthesized synthetic notes from PMC-Patients case reports with GPT-3.5
Then, we generate instruction-answer pairs for 157k synthetic discharge summaries
Supported Tasks
This dataset covers below 8 tasks
Named Entity… See the full description on the dataset page: https://huggingface.co/datasets/starmpcc/Asclepius-Synthetic-Clinical-Notes.