1. 安装datasets库 在终端中运行以下命令来安装datasets库: ```bash pip install datasets ``` 2. 从datasets模块中导入load_dataset方法 在你的Python脚本或Jupyter笔记本中,使用以下代码导入load_dataset方法: ```python from datasets import load_dataset ``` 这一步将允许你使用load_dataset方法来加载数据集。
importos os.environ["HF_ENDPOINT"]="https://hf-mirror.com"fromdatasetsimportload_dataset dataset=load_dataset(path='squad',split='train')print(dataset) 因为原网址是不可用的,如图 hf 原网址 上面修改的环境变量是在 datasets 库中的 config.py 文件中的变量,如下图: 环境变量...
from datasets import load_dataset , Dataset datasets = load_dataset('cail2018') # 导入数据 datasets_sample = datasets[ "exercise_contest_train" ].shuffle(seed= 42 ).select( range ( 1000 )) datasets_sample = datasets_sample.sort('punish_of_money') # 按照被罚金额排序,是从大到小的,这个排...
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...
frompaddlenlp.trlimportSFTConfig,SFTTrainerfromdatasetsimportload_datasetdataset=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_dataset=dataset, )...
Is your feature request related to a problem? Please describe. Is it possible to make load_dataset more universal similar to from_pretrained in transformers so that it can handle the hub, and the local path datasets of all supported type...
Datasets API: 丰富的中文数据集 Dataset API提供便捷、高效的数据集加载功能;内置千言数据集,提供丰富的面向自然语言理解与生成场景的中文数据集,为NLP研究人员提供一站式的科研体验。 from paddlenlp.datasets import load_dataset train_ds, dev_ds, test_ds = load_dataset("chnsenticorp", splits=["train"...
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() ...
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 ...
1. Only Explore admins have access to the Dataset Exports feature. This point is added to this article now.2. All Explore admins have access to all active and recent exports. So, the access is per account. 3. There is no way to create the export on someone's behalf but any admin ...