datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ko-voicephishing-binary-classificationultrafeedback-binary-classificationThis dataset is derived from argilla/ultrafeedback-binarized-preferences-cleaned using the followig processing:
import random
import pandas as pd
from datasets import Dataset, load_dataset
from sklearn.model_selection import GroupKFold
data_df = load_dataset("argilla/ultrafeedback-binarized-preferences-cleaned", split="train").to_pandas()
rng = random.Random(42)
rng = random.Random(42)
def get_assistant_text(messages):
t = ""for msg in messages:
if msg["role"] == "assistant":… See the full description on the dataset page: https://huggingface.co/datasets/rbiswasfc/ultrafeedback-binary-classification.mazes-binary-classification-simplifiedhd-bert-voicephishing-binary-classification-ver4reward-bench-binary-classificationRepurposed allenai/reward-bench dataset for binary classification task, using the following script:
import random
import pandas as pd
from datasets import Dataset, load_dataset
from sklearn.model_selection import GroupKFold
data_df = load_dataset("allenai/reward-bench", split="raw").to_pandas()
rng = random.Random(43)
examples = []
for idx, row in data_df.iterrows():
if rng.random() > 0.5:
response_a = row["chosen"]
response_b = row["rejected"]
label = 0… See the full description on the dataset page: https://huggingface.co/datasets/rbiswasfc/reward-bench-binary-classification.ko-voicephishing-binary-classification-ver2qwen3_0.6b-rlvr_task1548_wiqa_binary_classificationhd-bert-voicephishing-binary-classification-ver3hd-bert-voicephishing-binary-classification-ver5synthetic-binary-classificationUCI_Heart_Disease_for_Binary_ClassificationTitle: Heart Disease Prediction Dataset (Processed UCI Version)
Subtitle:
A cleaned and machine learning-ready version of the UCI Heart Disease dataset for binary classification tasks.
Description:
Overview
This dataset is a processed version of the UCI Heart Disease dataset. It contains patient clinical information commonly used for heart disease prediction and binary classification machine learning tasks.
The dataset has been cleaned and prepared for educational purposes, machine learning… See the full description on the dataset page: https://huggingface.co/datasets/bharathp16/UCI_Heart_Disease_for_Binary_Classification.medical-abstracts-binary-classificationsynthetic_binary_classification_10k