large-traversaal/urdu_datasets

这个数据集包含了六个不同的配置：Urdu Alpaca、Urdu Chat Alpaca、Urdu CommonsenseQA、Urdu GSM8k、Urdu Instruct和Urdu OpenBookQA。每个数据集都由训练集组成，包含对话内容（content）和角色（role）两种类型的字符串信息。具体数据集的大小和示例数量如下：Urdu Alpaca有28910个示例，大小为52406517字节；Urdu Chat Alpaca有19997个示例，大小为119128301字节；Urdu CommonsenseQA有9741个示例，大小为2746558字节；Urdu GSM8k有7473个示例，大小为6713749字节；Urdu Instruct有51686个示例，大小为15365764字节；Urdu OpenBookQA有4957个示例，大小为1424798字节。

The dataset consists of six different configurations: Urdu Alpaca, Urdu Chat Alpaca, Urdu CommonsenseQA, Urdu GSM8k, Urdu Instruct, and Urdu OpenBookQA. Each dataset is composed of a training set, including string information of conversation content (content) and role (role). The size and number of examples for each dataset are as follows: Urdu Alpaca has 28,910 examples with a size of 52,406,517 bytes; Urdu Chat Alpaca has 19,997 examples with a size of 119,128,301 bytes; Urdu CommonsenseQA has 9,741 examples with a size of 2,746,558 bytes; Urdu GSM8k has 7,473 examples with a size of 6,713,749 bytes; Urdu Instruct has 51,686 examples with a size of 15,365,764 bytes; Urdu OpenBookQA has 4,957 examples with a size of 1,424,798 bytes.