
**Dataset Card for Indian Constitutional Law Instruction-Response Dataset**

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**Dataset Summary**

The dataset contains instruction-input-output pairs on Indian Constitutional Law, specifically addressing Articles 12, 14, 19, 21, and 15. It's designed to assist AI models, researchers, and learners in understanding and generating responses to complex legal questions related to the Indian Constitution.

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**Supported Tasks**

This dataset supports tasks such as question answering, text comprehension, language modelling, and conversational AI development in the legal domain.

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**Languages**

The dataset is in English.

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**Dataset Structure**

- **Data Instances**

Each instance includes an instruction, an input (a legal case), an output (the response), and a prompt that contextualizes the task.

- **Data Fields**

1. Instruction: The given instruction.
2. Input: The legal case.
3. Output: The response.
4. Prompt: The context for the instruction, input, and output.

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**Dataset Creation**

- **Curation Rationale**

The dataset aids in understanding and answering complex questions related to Indian Constitutional Law and the specified articles.


**Considerations for Using the Data**

- **Social Impact**

The dataset contributes to understanding certain articles of the Indian Constitution and assists in legal domain applications.

- **Known Limitations**

The dataset may not cover all possible questions on Indian Constitutional Law and is limited to English language.

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


Dataset Card for Indian Constitutional Law Instruction-Response Dataset

---

Dataset Summary

The dataset contains instruction-input-output pairs on Indian Constitutional Law, specifically addressing Articles 12, 14, 19, 21, and 15. It's designed to assist AI models, researchers, and learners in understanding and generating responses to complex legal questions related to the Indian Constitution.

---

Supported Tasks

This dataset supports tasks such as question answering, text comprehension, language modelling, and conversational AI development in the legal domain.

---

Languages

The dataset is in English.

---

Dataset Structure

- Data Instances

Each instance includes an instruction, an input (a legal case), an output (the response), and a prompt that contextualizes the task.

- Data Fields

1. Instruction: The given instruction.
2. Input: The legal case.
3. Output: The response.
4. Prompt: The context for the instruction, input, and output.

---

Dataset Creation

- Curation Rationale

The dataset aids in understanding and answering complex questions related to Indian Constitutional Law and the specified articles.


Considerations for Using the Data

- Social Impact

The dataset contributes to understanding certain articles of the Indian Constitution and assists in legal domain applications.

- Known Limitations

The dataset may not cover all possible questions on Indian Constitutional Law and is limited to English language.

---

TAGS
#license-apache-2.0 #region-us 

passage: TAGS
#license-apache-2.0 #region-us 
