from datasets import load_dataset datasets = load_dataset('cail2018') print(datasets) # 查看数据的结构 datasets_sample = datasets[ "exercise_contest_train" ].shuffle(seed= 42 ).select( range ( 1000 )) 2.2 map map顾名思义就是映射,map接收一个函数,Dataset中的每个元素都会被当作这个函数的输入...
from datasets import load_dataset dataset = load_dataset("squad", split="train") dataset.features {'answers': Sequence(feature={'text': Value(dtype='string', id=None), 'answer_start': Value(dtype='int32', id=None)}, length=-1, id=None), 'context': Value(dtype='string', id=None...
dataset_names = DataLoader.get_all_files('DataProcessed') dataset_names = [x.split('/')[-1].split('.')[0]forxindataset_names] results_file = open(experiment_name +"_results.txt","w+")fordataset_i, (X, y)inenumerate(zip(X_list, y_list)):ifuse_embedding: embedding = embedding...
trl import SFTConfig, SFTTrainer from datasets import load_dataset dataset = load_dataset("ZHUI/alpaca_demo", split="train") training_args = SFTConfig(output_dir="Qwen/Qwen2.5-0.5B-SFT", device="gpu") trainer = SFTTrainer( args=training_args, model="Qwen/Qwen2.5-0.5B-Instruct", train_...
$ git clone https://huggingface.co/datasets/severo/test-parquet $ python -c 'from datasets import load_dataset; ds=load_dataset("test-parquet"); \ ds.save_to_disk("my_dataset"); load_dataset("my_dataset")' [...] Traceback (most recent call last): File "<string>", line 1, in...
cache_file = os.path.join(self.task_core.cache_dir,'features_test_'+ str(len(data_df.index)) +'.p')ifos.path.isfile(cache_file): print('Loading test features from file') x = DataSet.load_from_file(cache_file)else: x = ds_from_df(data_df, sessions_df,True) ...
import numpy as np import sklearn.cluster as skc from sklearn import metrics from sklearn.cluster import DBSCAN import matplotlib.pyplot as plt #*===2. 读入数据并进行处理===** mac2id = dict() #mac2id是一个字典:key是mac地址value是对应mac地址的上网...
import tensorflow as tf from tensorflow import keras def load_dataset(): # Step0 准备数据集, 可以是自己动手丰衣足食, 也可以从 tf.keras.datasets 加载需要的数据集(获取到的是numpy数据) # 这里以 mnist 为例 (x, y), (x_test, y_test) = keras.datasets.mnist.load_data() ...
I would like to know if it is possible to import data from MS Excel 2000 to a dataset using asp.net. The excel file would need to be uploaded to the server from a web page first, before the loaded into a dataset. After the data is stored in the dataset, i would need to write ...
import tensorflow as tf from tensorflow import keras def load_dataset(): # Step0 准备数据集, 可以是自己动手丰衣足食, 也可以从 tf.keras.datasets 加载需要的数据集(获取到的是numpy数据) # 这里以 mnist 为例 (x, y), (x_test, y_test) = keras.datasets.mnist.load_data() # Step1 使用 ...