metadata

license: mit
task_categories:
  - question-answering
language:
  - en
tags:
  - general_knowledge
  - Question_Answers
pretty_name: Rep00Zon
size_categories:
  - n<1K

Dataset Card for Repo00Zo

Dataset Details

Dataset Description

Rep00Zon is a small dataset designed for practicing question-answering tasks. It contains fewer than 1,000 question-context-answer pairs in English, providing a manageable size for beginners to work with.

Curated by: Prabin Panta
Funded by: N/A
Shared by: Prabin Panta
Language(s) (NLP): English
License: MIT

Dataset Sources

Repository: https://huggingface.co/datasets/prabinpanta0/Rep00Zon
Paper [optional]: N/A
Demo [optional]: N/A

Uses

Direct Use

This dataset is intended for use in question-answering tasks, suitable for educational purposes, small-scale experiments, and proof-of-concept models.

Out-of-Scope Use

This dataset is not intended for high-stakes applications or tasks requiring large-scale data. It should not be used for any malicious purposes or to make critical decisions without further validation.

Dataset Structure

The dataset is organized in a CSV format with three columns: question, context, and answer.

Example data:

question,context,answer
"What is the capital of France?","France is a country in Europe. Its capital is Paris.","Paris"
"Who wrote 'Hamlet'?","'Hamlet' is a play written by William Shakespeare.","William Shakespeare"

Dataset Creation

Curation Rationale

The Rep00Zon dataset was created to provide a straightforward example for practicing question-answering tasks. Its small size makes it ideal for beginners to understand and implement basic NLP techniques without the complexity of larger datasets.

Source Data

Data Collection and Processing

The data was gathered from various sources, including online forums, manually created examples, and public domain texts. Each entry was processed to ensure it contained a clear question, a relevant context, and a precise answer. The dataset was curated to maintain simplicity and relevance for practice purposes.

Who are the source data producers?

The data producers include contributors from online forums, authors of public domain texts, and the dataset creator, who manually crafted some of the examples to ensure a well-rounded collection of question-answer pairs.

Annotations

Annotation Process

The annotation process was conducted manually by the dataset creator. Each question-context-answer triplet was reviewed for accuracy and relevance to ensure high-quality annotations suitable for educational use.

Who are the annotators?

The annotations were performed solely by Prabin Panta, the dataset creator.

Personal and Sensitive Information

The dataset does not contain personal, sensitive, or private information. All entries are general knowledge questions and answers, free from identifiable personal data.

Bias, Risks, and Limitations

The dataset is intentionally small and may not represent the diversity found in larger, real-world datasets. It is designed for practice and educational purposes and may not generalize well to broader applications. Users should be aware of its limited scope and potential biases, considering additional validation when using it in different contexts.

Recommendations

Users should utilize this dataset for educational and experimental purposes. For critical applications, it's advisable to augment this dataset with more diverse data and conduct thorough validation to mitigate potential biases and limitations.

Citation

If you use this dataset, please cite it as follows:

BibTeX:

@dataset{rep00zon,
  title={Rep00Zon Question-Answering Dataset},
  author={Prabin Panta},
  year={2024}
}

APA:

Prabin Panta. (2024). Rep00Zon Question-Answering Dataset.

Glossary

N/A

More Information

For further details, visit the dataset repository

Dataset Card Authors

Prabin Panta

Dataset Card Contact

For any questions or issues, contact Prabin Panta at [email protected]