task_categories:question-answering task_categories:text-generation task_categories:translation license:mit size_categories:1M<n<10M region:us
---
license: mit
task_categories:
- question-answering
- text-generation
- translation
size_categories:
- 1M<n<10M
---
# Dataset Card for DOJ Dataset

This dataset card provides details about the DOJ dataset containing information about the Ministry of Law and Justice of India, focusing on its three main divisions: the Department of Legal Affairs, the Legislative Department, and the Department of Justice.

## Dataset Details

### Dataset Description

This dataset contains information about the Ministry of Law and Justice of India, including descriptions of the roles and functions of its three main departments: the Department of Legal Affairs, the Legislative Department, and the Department of Justice. It also includes links to relevant government pages and official documents.

- **Curated by:** [More Information Needed]
- **License:** MIT
- **Language(s) (NLP):** [More Information Needed]

### Dataset Sources

- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

### Direct Use

This dataset is intended for training machine learning models focused on the legal domain, specifically related to government departments, legal affairs, and public administration in India.

### Out-of-Scope Use

The dataset should not be used for malicious purposes or for creating models that spread misinformation or violate any legal terms.

## Dataset Structure

The dataset contains the following fields:

- **division_name**: Name of the department/division.
- **description**: Description of the roles and responsibilities of the division.
- **link**: A link to relevant official government documents or pages.

## Dataset Creation

### Curation Rationale

This dataset was curated to provide structured, machine-readable information about the Ministry of Law and Justice of India. It is designed to facilitate natural language processing (NLP) tasks, specifically in the legal domain.

### Source Data

The source data for this dataset comes from official government publications, reports, and websites.

#### Data Collection and Processing

Data was manually extracted from official government documents, ensuring consistency in formatting and normalization for machine readability.

#### Source Data Producers

The source data was produced by government agencies and departments of India.

### Annotations

No additional annotations were made to the dataset.

#### Annotation Process

N/A

#### Annotators

N/A

#### Personal and Sensitive Information

The dataset does not contain any personal or sensitive information.

## Bias, Risks, and Limitations

The dataset may contain inherent biases due to its reliance on government documents, which may not fully represent all perspectives within the legal field in India.

### Recommendations

Users should be cautious of potential biases in the dataset and apply it carefully, particularly in legal applications.

## Citation [optional]

**BibTeX:**

[More Information Needed]

**APA:**

[More Information Needed]

## Glossary [optional]

[More Information Needed]

## More Information [optional]

[More Information Needed]

## Dataset Card Authors [optional]

[More Information Needed]

## Dataset Card Contact

[More Information Needed]

## Files Available

- **DO.csv**: Original dataset in CSV format.
- **DO.csv.parquet**: Optimized Parquet format for faster processing.

## Usage

To load the Parquet file in Python:

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("RTHGV/NJD", data_files="DO.csv.parque")

# Display the dataset
print(dataset)