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-simplifiedreward-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-ver2hd-bert-voicephishing-binary-classification-ver4qwen3_0.6b-rlvr_task1548_wiqa_binary_classificationhd-bert-voicephishing-binary-classification-ver3hd-bert-voicephishing-binary-classification-ver5synthetic-binary-classification