---
# Indian Legal Case Reasoning Dataset

This dataset is a collection of legal reasoning tasks based on Indian case laws. Each entry in the dataset consists of an instruction for a legal reasoning task, the context necessary to complete the task, the correct response to the task, and a formatted prompt to guide the response. The dataset is designed for training and evaluating models on a variety of legal reasoning tasks, including case analysis, issue identification, legal argument formulation, and precedent identification.

## Data Details

- **Instruction**: A string field containing the instruction for the task.
- **Input**: A string field providing the context necessary to complete the task.
- **Output**: A string field containing the correct response to the task.
- **Prompt**: A string field containing a formatted version of the instruction and input, intended to guide the response.

## Dataset Use

The dataset can be used to train a model for a variety of legal reasoning tasks. Given the instruction and input, the model must generate the correct output. Performance could be evaluated based on the accuracy of the generated output.

## Languages

The text in the dataset is in English.

## Data Splits

The dataset provided does not have predefined splits.

## Dataset Creation

The dataset was curated to provide a resource for training and evaluating models on a variety of legal reasoning tasks. The entries in the dataset represent a diverse range of legal reasoning tasks and are based on actual case laws, providing a realistic and practical dataset for legal reasoning tasks.

## Source Data

The dataset is based on case laws from the Indian legal system.


## Considerations for Using the Data

The dataset contains real-world legal texts and should be used in accordance with all relevant legal and ethical guidelines. Users should be aware that legal texts may contain sensitive information and should use the dataset responsibly.

---
license:apache-2.0 region:us
{"license": "apache-2.0"}
TAGS
#license-apache-2.0 #region-us 

---
# Indian Legal Case Reasoning Dataset

This dataset is a collection of legal reasoning tasks based on Indian case laws. Each entry in the dataset consists of an instruction for a legal reasoning task, the context necessary to complete the task, the correct response to the task, and a formatted prompt to guide the response. The dataset is designed for training and evaluating models on a variety of legal reasoning tasks, including case analysis, issue identification, legal argument formulation, and precedent identification.

## Data Details

- Instruction: A string field containing the instruction for the task.
- Input: A string field providing the context necessary to complete the task.
- Output: A string field containing the correct response to the task.
- Prompt: A string field containing a formatted version of the instruction and input, intended to guide the response.

## Dataset Use

The dataset can be used to train a model for a variety of legal reasoning tasks. Given the instruction and input, the model must generate the correct output. Performance could be evaluated based on the accuracy of the generated output.

## Languages

The text in the dataset is in English.

## Data Splits

The dataset provided does not have predefined splits.

## Dataset Creation

The dataset was curated to provide a resource for training and evaluating models on a variety of legal reasoning tasks. The entries in the dataset represent a diverse range of legal reasoning tasks and are based on actual case laws, providing a realistic and practical dataset for legal reasoning tasks.

## Source Data

The dataset is based on case laws from the Indian legal system.


## Considerations for Using the Data

The dataset contains real-world legal texts and should be used in accordance with all relevant legal and ethical guidelines. Users should be aware that legal texts may contain sensitive information and should use the dataset responsibly.

---
# Indian Legal Case Reasoning Dataset

This dataset is a collection of legal reasoning tasks based on Indian case laws. Each entry in the dataset consists of an instruction for a legal reasoning task, the context necessary to complete the task, the correct response to the task, and a formatted prompt to guide the response. The dataset is designed for training and evaluating models on a variety of legal reasoning tasks, including case analysis, issue identification, legal argument formulation, and precedent identification. ## Data Details

- Instruction: A string field containing the instruction for the task.
- Input: A string field providing the context necessary to complete the task.
- Output: A string field containing the correct response to the task.
- Prompt: A string field containing a formatted version of the instruction and input, intended to guide the response. ## Dataset Use

The dataset can be used to train a model for a variety of legal reasoning tasks. Given the instruction and input, the model must generate the correct output. Performance could be evaluated based on the accuracy of the generated output. ## Languages

The text in the dataset is in English. ## Data Splits

The dataset provided does not have predefined splits. ## Dataset Creation

The dataset was curated to provide a resource for training and evaluating models on a variety of legal reasoning tasks. The entries in the dataset represent a diverse range of legal reasoning tasks and are based on actual case laws, providing a realistic and practical dataset for legal reasoning tasks. ## Source Data

The dataset is based on case laws from the Indian legal system. ## Considerations for Using the Data

The dataset contains real-world legal texts and should be used in accordance with all relevant legal and ethical guidelines. Users should be aware that legal texts may contain sensitive information and should use the dataset responsibly.

---
TAGS
#license-apache-2.0 #region-us 
 # Indian Legal Case Reasoning Dataset

This dataset is a collection of legal reasoning tasks based on Indian case laws. Each entry in the dataset consists of an instruction for a legal reasoning task, the context necessary to complete the task, the correct response to the task, and a formatted prompt to guide the response. The dataset is designed for training and evaluating models on a variety of legal reasoning tasks, including case analysis, issue identification, legal argument formulation, and precedent identification. ## Data Details

- Instruction: A string field containing the instruction for the task.
- Input: A string field providing the context necessary to complete the task.
- Output: A string field containing the correct response to the task.
- Prompt: A string field containing a formatted version of the instruction and input, intended to guide the response. ## Dataset Use

The dataset can be used to train a model for a variety of legal reasoning tasks. Given the instruction and input, the model must generate the correct output. Performance could be evaluated based on the accuracy of the generated output. ## Languages

The text in the dataset is in English. ## Data Splits

The dataset provided does not have predefined splits. ## Dataset Creation

The dataset was curated to provide a resource for training and evaluating models on a variety of legal reasoning tasks. The entries in the dataset represent a diverse range of legal reasoning tasks and are based on actual case laws, providing a realistic and practical dataset for legal reasoning tasks. ## Source Data

The dataset is based on case laws from the Indian legal system. ## Considerations for Using the Data

The dataset contains real-world legal texts and should be used in accordance with all relevant legal and ethical guidelines. Users should be aware that legal texts may contain sensitive information and should use the dataset responsibly.

---
passage: TAGS
#license-apache-2.0 #region-us 
# Indian Legal Case Reasoning Dataset

This dataset is a collection of legal reasoning tasks based on Indian case laws. Each entry in the dataset consists of an instruction for a legal reasoning task, the context necessary to complete the task, the correct response to the task, and a formatted prompt to guide the response. The dataset is designed for training and evaluating models on a variety of legal reasoning tasks, including case analysis, issue identification, legal argument formulation, and precedent identification.## Data Details

- Instruction: A string field containing the instruction for the task.
- Input: A string field providing the context necessary to complete the task.
- Output: A string field containing the correct response to the task.
- Prompt: A string field containing a formatted version of the instruction and input, intended to guide the response.## Dataset Use

The dataset can be used to train a model for a variety of legal reasoning tasks. Given the instruction and input, the model must generate the correct output. Performance could be evaluated based on the accuracy of the generated output.## Languages

The text in the dataset is in English.## Data Splits

The dataset provided does not have predefined splits.## Dataset Creation

The dataset was curated to provide a resource for training and evaluating models on a variety of legal reasoning tasks. The entries in the dataset represent a diverse range of legal reasoning tasks and are based on actual case laws, providing a realistic and practical dataset for legal reasoning tasks.## Source Data

The dataset is based on case laws from the Indian legal system.## Considerations for Using the Data

The dataset contains real-world legal texts and should be used in accordance with all relevant legal and ethical guidelines. Users should be aware that legal texts may contain sensitive information and should use the dataset responsibly.

---