一、Load dataset 1.1 Hugging Face Hub 1.2 本地和远程文件 1.2.1 CSV 1.2.2 JSON 1.2.3 text 1.2.4 Parquet 1.2.5 内存数据(python字典和DataFrame) 1.2.6 Offline离线(见原文) 1.3 切片拆分(Slice splits) 1.3.1 字符串拆分(包括交叉验证) 1.4 Troubleshooting故障排除 1.4.1手动下载 1.4.2 Specify fe...
下载的文件格式为TSV,因为TSV是CSV格式的一种(CSV 使用逗号做分隔符,TSV使用\t制表符做分隔符),所以我们可以使用csv脚本来加载该类文件,但是需要在函数load_dataset()函数中指定delemiter参数为\t。 fromdatasetsimportload_datasetdata_files={"train":"drugsComTrain_raw.tsv","test":"drugsComTest_raw.t...
从本地文件加载:使用Dataset.from_(format)方法,例如Dataset.from_csv、Dataset.from_json等,根据数据集的格式选择对应的方法,从本地文件中加载数据集。 从Hugging Face Datasets Hub加载:使用datasets.load_dataset方法,从Hugging Face Datasets Hub中下载和加载数据集。 从Pandas DataFrame加载:使用Dataset.from_pandas...
2. 跨平台兼容性:Hugging Face 库与 TensorFlow、PyTorch 和 Keras 等标准深度学习系统兼容,可以轻松集成到您现有的工作流程中。 3. 简单的微调:Hugging Face 库包含用于微调数据集上预训练模型的工具,与从头开始训练模型相比,可以节省时间和精力。 4. 活跃的社区:Hugging Face 图书馆拥有庞大而活跃的用户社区,这意...
from datasets import load_dataset my_dataset = load_dataset('my_username/my_dataset') But I'm getting the error FileNotFoundError: Couldn't find a dataset script at my_local_path or any data file in the same directory. Couldn't find 'my_username/my_dataset' on the Hugging Face Hub...
Thanks to the flexibility of the HuggingFace library, you can easily adapt the code shown in this post for other types of transformer models, such as t5, BART, and more. Load your own dataset to fine-tune a Hugging Face model To load a custom dataset from a CSV file, we us...
How does one make dataset.take(512) work with streaming = False with hugging face data set? 0 Hugging face HTTP request on data from parquet format when the only way to get it is from the website's data viewer, how to fix? 0 How does one create a pytorch data ...
dataset = load_dataset("tatsu-lab/alpaca") train = dataset['train'] Additionally, we would save the data in the CSV format as we would need them for our fine-tuning. train.to_csv('train.csv', index = False) With the environment and the dataset ready, let’s try to use HuggingFace...
data=pd.read_csv("ChnSentiCorp_htl_all.csv")data.head() 输出: 打印一下数据集看一下数据集的信息和介绍: 然后就输数据清洗,删除空行和一些无效的数据 3.创建数据集: 代码语言:javascript 复制 from torch.utils.dataimportDatasetclassMyDataSet(Dataset):def__init__(self):super().__init__()self.dat...
A similar approach can also be used to find relevant models and datasets on the Hugging Face Hub. ## Walkthrough: how can you add a GLAM dataset to the Hub? We can make datasets available via the Hugging Face hub in various ways. I'll walk through an example of adding a CSV dataset...