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。
Describe the bug A clear and concise description of what the bug is. Steps to reproduce the bug # Sample code to reproduce the bug from datasets import Dataset Expected results A clear and concise description of the expected results. Act...
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...
import pandas as pd df = pd.read_json(jsonl_path, lines=True) df.head() from datasets import Dataset dataset = Dataset.from_pandas(df) 加载后的dataset也能使用,但后续用dataset.map进行处理也会非常慢。 高效解决方案 一种方法是先将jsonl文件转换成arrow格式,然后使用load_from_disk进行加载: # ...
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File /opt/conda/lib/python3.10/site-packages/setfit/model_card.py:14 12 import transformers 13 from datasets import Dataset --->14 from huggingface_hub import CardData, DatasetFilter, ModelCard, dataset_info, list_datasets, model_info 15 from huggingface_hub.repocard_data import EvalResult, ...
I have checked out several other similar questions but cannot quiet find any code that works for my data. I have 2 datasets (df1 and df2), one with a time interval (df1) and one with precipitation data (df2). I would like to get the total amount of precipitation for...
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...
importosfromtransformersimportTrainingArgumentsfromdatasetsimportload_datasetfromtrlimportSFTTrainerfrompeftimportLoraConfigdataset=load_dataset("imdb",split="train")output_dir="test"training_args=TrainingArguments(output_dir=output_dir,per_device_train_batch_size=1,per_device_eval_batch_size=1,max_steps=...