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Datasets:
SatyamDev
/
alpaca_data_cleaned_bhojpuri

Tasks:
Translation
Text2Text Generation
Question Answering
Modalities:
Text
Formats:
csv
Languages:
Bihari
Hindi
Size:
10K - 100K
Libraries:
Datasets
pandas
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metadata
task_categories:
  - translation
  - text2text-generation
  - question-answering
language:
  - bh
  - hi
pretty_name: Bhojpuri Dataset
size_categories:
  - 10K<n<100K

Dataset Card for Dataset Name

This repository contains a translated version of the Alpaca-Cleaned dataset, originally provided by Yahma on Hugging Face. The dataset has been translated into Bhojpuri, a language spoken in the northern-eastern part of India and the Terai region of Nepal. This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Dataset Details

Dataset Description

The Alpaca-Cleaned dataset is a collection of instructional data designed for natural language understanding and generation tasks. The Bhojpuri version of the dataset aims to provide a resource for training and evaluating language models in Bhojpuri.

  • Curated by: Satyam Tiwari
  • Language(s) (NLP): Bhojpuri
  • License: [More Information Needed]

Features

  • Language: Bhojpuri
  • Source: Translated from the original English dataset
  • Size: 51760 Lines
  • Format: CSV

How it Translated

Visit this github repo - https://github.com/SatyamDevv/DatasetTranslator

Dataset Sources [optional]

Uses

Direct Use

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Dataset Structure

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

https://huggingface.co/datasets/yahma/alpaca-cleaned

Data Collection and Processing

[More Information Needed]

Who are the source data producers?

[More Information Needed]

Annotations [optional]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Bias, Risks, and Limitations

  1. This is directly translated dataset it translated code, and other things which should not be translated.
  2. There are more issue it just translated by the Google Translator which may be not totally right.

Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

Citation [optional]

BibTeX:

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APA:

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Dataset Card Authors [optional]

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