git clone <https://huggingface.co/datasets/eli5> 对加载脚本进行编辑,然后通过传递其本地路径到 load_dataset() 来加载它: from datasets import load_dataset eli5 = load_dataset("path/to/local/eli5") 本地和远程文件 可以从计算机上存储的本地文件和远程文件加载数据集。数据集很可能存储为 csv、json、...
dataset = load_dataset('text', data_files='https://huggingface.co/datasets/lhoestq/test/resolve/main/some_text.txt') 1.2.4 Parquet 与基于行的文件(如 CSV)不同,Parquet 文件以柱状格式存储。大型数据集可以存储在 Parquet 文件中,因为它更高效,返回查询的速度更快。#加载 Parquet 文件,如下例所示...
git clone https://huggingface.co/datasets/eli5fromdatasetsimportload_dataset eli5=load_dataset("path/to/local/eli5") 本地和远程文件 数据集可以从你本地文件或者远程文件加载。数据集文件一般以csv,json,txt,或者parquent文件存储。 CSV 可以从一个或者多个csv文件加载数据集,如果多个csv,就以列表形式传入csv...
关于数据集的任何其他信息,例如文本标题或转录,都可以包含在包含数据集的文件夹中的metadata.csv文件中。元数据文件需要有一个file_name列,将图像或音频文件链接到相应的元数据: file_name,text bulbasaur.png,Thereisa plant seed on its back rightfromthe daythisPokémonisborn.charmander.png,Ithas a preference...
我的目标是使用加载的SlovakBert模型和HuggingFace库训练一个能够用斯洛伐克语进行情感分析的分类器。代码在Google Colaboratory上执行。 我的测试数据集是从以下csv文件读取的:https://raw.githubusercontent.com/kinit-sk/slovakbert-auxiliary/main/sentiment_reviews/kinit_golden_games.csv ...
I was following this huggingface tutorial on uploading my dataset (a json file) to the Hub. In the link they mention: or text data extensions like .csv, .json, .jsonl, and .txt, we recommend compressing them before uploading to the Hub (to .zip or .gz file extension for example) So...
I'm trying to load a custom dataset to use for finetuning a Huggingface model. My data is a csv file with 2 columns: one is 'sequence' which is a string , the other one is 'label' which is also a string, with 8 classes. I want to load my dataset and assign the typ...
dataset = load_dataset('csv', data_files=['train.csv', 'test.csv']) 当使用 HuggingFace 提供的预训练模型对自己的数据集进行微调时,使用自定义数据集会非常方便。 总结 Hugging Face 为我们提供了提供的大量资源,使端到端处理大型 NLP 和 ML 工作负载变得容易。虽然在灵活性等某些方面还是不足,但是Huggin...
Link to the hub repo: https://huggingface.co/datasets/pietrolesci/ag_newsBONUS: how can I make the data viewer work in this specific case? :)pietrolesci added the dataset request label Nov 19, 2021 Member lhoestq commented Nov 19, 2021 Hi ! In the next version of datasets, your...
Hugging Face is a valuable resource, offering access to over 120,000 free and open datasets spanning various formats, including CSV, Parquet, JSON, audio, and image files. @@ -79,7 +79,7 @@ For this demo, we will be using the [world-cities-geo](https://huggingface.co/da Dataset...