lrana/MMLU_ita

---
task_categories:
- zero-shot-classification
- text-classification
- question-answering
- text-generation
language:
- it
tags:
- chemistry
- biology
- legal
- finance
- music
- code
- medical
pretty_name: MMLU Italian Version
size_categories:
- 1K<n<10K
---
# Dataset Card for Dataset Name

## Dataset Description

- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

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## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

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## Additional Information

### Dataset Curators

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### Licensing Information

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### Citation Information

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### Contributions

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原始信息汇总

数据集概述

基本信息

• 名称: MMLU Italian Version
• 任务类别:
  • zero-shot-classification
  • text-classification
  • question-answering
  • text-generation
• 语言: it
• 标签:
  • chemistry
  • biology
  • legal
  • finance
  • music
  • code
  • medical
• 大小: 1K<n<10K

数据集描述

• 概述: 该数据集是一个基础模板，用于生成新的数据集。

数据集结构

• 数据实例: [未提供]
• 数据字段: [未提供]
• 数据分割: [未提供]

数据集创建

• 筛选理由: [未提供]
• 源数据:
  • 初始数据收集和标准化: [未提供]
  • 源语言生产者: [未提供]
• 注释:
  • 注释过程: [未提供]
  • 注释者: [未提供]
• 个人和敏感信息: [未提供]

使用数据时的考虑

• 数据集的社会影响: [未提供]
• 讨论偏见: [未提供]
• 其他已知限制: [未提供]

附加信息

• 数据集管理者: [未提供]
• 许可信息: [未提供]
• 引用信息: [未提供]
• 贡献: [未提供]