datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Aneumo
Aneumo Datasets
AneumoDataset is a comprehensive multi-modal dataset containing 3D anatomical structures and simulated hemodynamic parameters for cerebral aneurysms, supporting both computational modeling and AI-based analysis.
med_historySQuAD_HindiThis dataset is created by translating a part of the Stanford QA dataset.
It contains 5k QA pairs from the original SQuad dataset translated to Hindi using the googletrans api.
ids_att_v4anesthesia-coding-31.5kids_test_allhouse-price-streamlitSmellDBchem_trainAnthropicInterviewer
Anthropic Interviewer
A tool for conducting AI-powered qualitative research interviews at scale. In this study, we used Anthropic Interviewer to explore how 1,250 professionals integrate AI into their work and how they feel about its role in their future.
Associated Research: Introducing Anthropic Interviewer: What 1,250 professionals told us about working with AI
Dataset
This repository contains interview transcripts from 1,250 professionals:
General Workforce (N=1… See the full description on the dataset page: https://huggingface.co/datasets/Anees-umrani507gmail-com/AnthropicInterviewer.clinical-5node-airway-buf-lag-cpl-anesthesia-airway-compromise-v0.1import csv
import json
import sys
from typing import Dict, List
TARGET_NAME = "cascade_state"
LABEL_COL = f"label_{TARGET_NAME}"
PRED_COL_CANDIDATES = ["prediction", "pred", "y_pred", "model_pred"]
def _to_int(x: str) -> int:
x = (x or "").strip()
if x == "":
raise ValueError("Empty value")
v = float(x)
return 1 if v >= 0.5 else 0
def safe_div(n: float, d: float) -> float:
return n / d if d else 0.0
def confusion(y_true: List[int], y_pred: List[int]) -> Dict[str… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-5node-airway-buf-lag-cpl-anesthesia-airway-compromise-v0.1.adeolaadesina_factors-affecting-children-anemia-level
Factors Affecting Children Anemia Level
This is a cross-sectional data from the 2018 Nigeria DHS
Dataset Info
Source: Kaggle
Original Size: 0.25 MB
Kaggle Downloads: 5,556
Files: 1
Files
children anemia.csv
Mirrored from Kaggle
Legal_factsspam-messages
Dataset
The dataset is composed of messages labeled by ham or spam, merged from three data sources:
SMS Spam Collection https://www.kaggle.com/datasets/uciml/sms-spam-collection-dataset
Telegram Spam Ham https://huggingface.co/datasets/thehamkercat/telegram-spam-ham/tree/main
Enron Spam: https://huggingface.co/datasets/SetFit/enron_spam/tree/main (only used message column and labels)
The prepare script for enron is available at… See the full description on the dataset page: https://huggingface.co/datasets/anees-void/spam-messages.