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Xhaheen/Alpaca_urdu_2024_1

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Hugging Face2024-03-06 更新2024-06-22 收录
下载链接:
https://hf-mirror.com/datasets/Xhaheen/Alpaca_urdu_2024_1
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资源简介:
--- dataset_info: features: - name: input dtype: string - name: output dtype: string - name: answer_lengths dtype: 'null' splits: - name: train num_bytes: 51251741 num_examples: 45622 download_size: 24545189 dataset_size: 51251741 configs: - config_name: default data_files: - split: train path: data/train-* license: apache-2.0 task_categories: - text-generation language: - ur size_categories: - 10K<n<100K --- Description The Alpaca Urdu 🦙 is a translation of the original dataset into Urdu. This dataset is a part of the Alpaca project and is designed for NLP tasks. 🌐 Dataset Information Size: The translated dataset contains [45,000] samples. Languages: Urdu License: [cc-by-4.0] Original Dataset: Alpaca Cleaned dataset Columns The translated dataset includes the following columns: input: input text in Urdu. output: translated output in Urdu. answer_lengths: Lengths of the answers. Example Usage from datasets import load_dataset # Load the translated dataset dataset = load_dataset("Xhaheen/Alpaca_urdu_2024_1") # Access a sample sample = dataset["train"][0] print(sample) ############## import pandas as pd # Assuming the dataset has a key named "train" containing the data df = pd.DataFrame(dataset["train"]) # Save the DataFrame to a CSV file named "alpaca_ur.csv" df.to_csv("alpaca_urdu.csv", index=False)
提供机构:
Xhaheen
原始信息汇总

数据集概述

基本信息

  • 数据集名称: Alpaca Urdu 🦙
  • 语言: Urdu
  • 许可证: Apache-2.0
  • 任务类别: 文本生成
  • 大小类别: 10K<n<100K

数据结构

  • 特征:
    • input: 输入文本,数据类型为字符串
    • output: 输出文本,数据类型为字符串
    • answer_lengths: 答案长度,数据类型为空

数据分割

  • 训练集:
    • 文件名: data/train-*
    • 样本数量: 45622
    • 字节数: 51251741

下载信息

  • 下载大小: 24545189
  • 数据集大小: 51251741

示例用法

python from datasets import load_dataset

加载翻译后的数据集

dataset = load_dataset("Xhaheen/Alpaca_urdu_2024_1")

访问样本

sample = dataset["train"][0] print(sample)

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