
**Dataset Card for Indian Polity Question-Answer Dataset**

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**Dataset Summary**

This dataset contains a collection of question-answer pairs on the subject of Indian Polity. The aim is to provide comprehensive answers to a wide range of questions pertaining to the Indian Constitution, judiciary, legislative, and various socio-political issues in India. It serves as a valuable resource for learners, researchers, and AI systems seeking to understand or respond to questions about Indian Polity.

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**Supported Tasks and Leaderboards**

This dataset is useful for tasks such as question answering, text comprehension, language modelling, and conversational AI development. There's no specific leaderboard associated with this dataset.

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**Languages**

The dataset is in English.

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**Dataset Structure**

- **Data Instances**

Each instance in the dataset consists of a pair of a human-posed question and an assistant-provided answer on a specific topic in Indian Polity.

- **Data Fields**

1. Question: A text field containing the question.
2. Answer: A text field containing the corresponding answer.

- **Data Splits**

The dataset isn't divided into standard splits of training, validation, and test sets.

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**Dataset Creation**

- **Curation Rationale**

The dataset was curated to provide accurate and comprehensive answers to a range of questions about Indian Polity. It covers fundamental rights, constitutional provisions, legislative procedures, and socio-political issues, among others.

- **Source Data**
  
- **Initial Data Collection and Normalization**

Data collection involved generating questions on Indian Polity topics and providing detailed answers.

- **Who are the source language producers?**

The language was produced by a language model trained by OpenAI.

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**Annotations**

- **Annotation process**

Not applicable as the dataset doesn't contain annotations.

- **Who are the annotators?**

Not applicable as the dataset doesn't contain annotations.

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**Personal and Sensitive Information**

The dataset does not contain any personal or sensitive information.

---

**Considerations for Using the Data**

- **Social Impact of Dataset**

The dataset can contribute to the understanding of Indian Polity and Constitution. It can help in educational, research, and AI applications.

- **Discussion of Biases**

There is no obvious bias in the dataset as it provides factual information related to the Indian Constitution and Polity.

- **Other Known Limitations**

The dataset may not cover all possible questions on Indian Polity. Additionally, all answers are in English, which may limit its use for non-English speakers.

---

**Additional Information**

- **Dataset Curators**

The dataset has been curated by an OpenAI language model.

- **Licensing Information**

The dataset follows OpenAI's standard data use policy.

- **Citation Information**

Not applicable as this is an artificial dataset.

- **Contributions**

The dataset was generated by the ChatGPT model trained by OpenAI.
license:apache-2.0 region:us
{"license": "apache-2.0"}
TAGS
#license-apache-2.0 #region-us 


Dataset Card for Indian Polity Question-Answer Dataset

---

Dataset Summary

This dataset contains a collection of question-answer pairs on the subject of Indian Polity. The aim is to provide comprehensive answers to a wide range of questions pertaining to the Indian Constitution, judiciary, legislative, and various socio-political issues in India. It serves as a valuable resource for learners, researchers, and AI systems seeking to understand or respond to questions about Indian Polity.

---

Supported Tasks and Leaderboards

This dataset is useful for tasks such as question answering, text comprehension, language modelling, and conversational AI development. There's no specific leaderboard associated with this dataset.

---

Languages

The dataset is in English.

---

Dataset Structure

- Data Instances

Each instance in the dataset consists of a pair of a human-posed question and an assistant-provided answer on a specific topic in Indian Polity.

- Data Fields

1. Question: A text field containing the question.
2. Answer: A text field containing the corresponding answer.

- Data Splits

The dataset isn't divided into standard splits of training, validation, and test sets.

---

Dataset Creation

- Curation Rationale

The dataset was curated to provide accurate and comprehensive answers to a range of questions about Indian Polity. It covers fundamental rights, constitutional provisions, legislative procedures, and socio-political issues, among others.

- Source Data
  
- Initial Data Collection and Normalization

Data collection involved generating questions on Indian Polity topics and providing detailed answers.

- Who are the source language producers?

The language was produced by a language model trained by OpenAI.

---

Annotations

- Annotation process

Not applicable as the dataset doesn't contain annotations.

- Who are the annotators?

Not applicable as the dataset doesn't contain annotations.

---

Personal and Sensitive Information

The dataset does not contain any personal or sensitive information.

---

Considerations for Using the Data

- Social Impact of Dataset

The dataset can contribute to the understanding of Indian Polity and Constitution. It can help in educational, research, and AI applications.

- Discussion of Biases

There is no obvious bias in the dataset as it provides factual information related to the Indian Constitution and Polity.

- Other Known Limitations

The dataset may not cover all possible questions on Indian Polity. Additionally, all answers are in English, which may limit its use for non-English speakers.

---

Additional Information

- Dataset Curators

The dataset has been curated by an OpenAI language model.

- Licensing Information

The dataset follows OpenAI's standard data use policy.

- Citation Information

Not applicable as this is an artificial dataset.

- Contributions

The dataset was generated by the ChatGPT model trained by OpenAI.
TAGS
#license-apache-2.0 #region-us 

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