datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Evaluation_google-bert-bert-base-uncasedbert_base_uncased_6_clusters
bert_base_uncased_6_clusters
This repository contains k-means cluster subsets for training. Each subset is a config (name=cluster_X), backed by Parquet.
Load examples
from datasets import load_dataset
# Single cluster
ds0 = load_dataset("{username}/bert_base_uncased_6_clusters", name="cluster_0")
# Specific cluster
ds3 = load_dataset("{username}/bert_base_uncased_6_clusters", name="cluster_3")
# Or with data_files directly (optional alternative):
ds =… See the full description on the dataset page: https://huggingface.co/datasets/Adanato/bert_base_uncased_6_clusters.Evaluation_Loragoogle-bert-bert-base-uncasedbert_base_multilingual_uncased_predictionsEvaluation_QuantizedLoragoogle-bert-bert-base-uncased