ITS
Datasets
All datasets matching “ITS”LolDatasoftTissueTumorousLesions
AutoTrain Dataset for project: soft-tissue-tumor-species
Dataset Description
This dataset has been automatically processed by AutoTrain for project bone-tumor-species.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<512x512 RGB PIL image>",
"target": 16
},
{
"image": "<512x512 RGB PIL image>",
"target": 29
}]… See the full description on the dataset page: https://huggingface.co/datasets/itslogannye/softTissueTumorousLesions.biggest-ru-bookA bigger version of its5Q/bigger-ru-book, the smaller set being a subset of this one. Almost 1000 hours of high-quality audio.
pxr-structure-pose-pool
PXR Structure Challenge — Full Multi-Model Pose Pool (184 ligands)
Every protein–ligand pose generated during the OpenADMET PXR (pregnane X receptor / NR1I2)
structure-prediction challenge, released openly with per-pose labels so the community can
reuse the compute already spent — and, we hope, crack the problem this data makes visible.
What's here
poses/<model>/<SID>.pdb — one best pose per (model, ligand). Protein chain A + ligand
(resname LIG). 15 models, up… See the full description on the dataset page: https://huggingface.co/datasets/xX-its-amit-Xx/pxr-structure-pose-pool.BACHI_Chord_Recognition
BACHI: Boundary-Aware Symbolic Chord Recognition Through Masked Iterative Decoding on Pop and Classical Music
Paper | Project Page | Code | POP909-CL Dataset
This repository contains trained model weights and classical datasets for the paper:
Mingyang Yao, Ke Chen, Shlomo Dubnov and Taylor Berg-Kirkpatrick
"BACHI: Boundary-Aware Symbolic Chord Recognition Through Masked Iterative Decoding on Pop and Classical Music."ICASSP 2026, 2025
Abstract
Automatic chord… See the full description on the dataset page: https://huggingface.co/datasets/Itsuki-music/BACHI_Chord_Recognition.research-papers
research-papers Dataset
Overview
The Research Papers Dataset is a collection of academic research documents in PDF format, categorized by their primary research topic. This dataset is designed for tasks such as document classification, optical character recognition (OCR) testing, and multimodal document understanding.
Curated by: tegridy
Language: English
Format: PDF
Repo Structure
The dataset contains PDF files and their associated topic labels.… See the full description on the dataset page: https://huggingface.co/datasets/itstheprakash/research-papers.