SuryaKrishna02's picture
Update README.md
e2ade17 verified
|
raw
history blame
4.88 kB
metadata
annotations_creators:
  - expert-generated
language:
  - te
language_creators:
  - expert-generated
license:
  - apache-2.0
multilinguality:
  - monolingual
pretty_name: Telugu Paraphrase
size_categories:
  - n<1K
source_datasets:
  - extended|ai4bharat/IndicXParaphrase
tags:
  - paraphrase
task_categories:
  - text-generation
task_ids:
  - language-modeling

Summary

aya-telugu-paraphrase is an open source dataset of instruct-style records generated from the Telugu split of ai4bharat/IndicXParaphrase dataset. This was created as part of Aya Open Science Initiative from Cohere For AI.

This dataset can be used for any purpose, whether academic or commercial, under the terms of the Apache 2.0 License.

Supported Tasks:

  • Training LLMs
  • Synthetic Data Generation
  • Data Augmentation

Languages: Telugu Version: 1.0

Dataset Overview

aya-telugu-paraphrase is a corpus of more than 1.5k records generated by conversion of Telugu split of ai4bharat/IndicXParaphrase dataset into Instruct-Style format. This Dataset can be used for the following task:

  • Given a sentence, generate a sentence with similar meaning.

Intended Uses

While immediately valuable for instruction fine tuning large language models, as a corpus of instruction prompts, this dataset also presents a valuable opportunity for synthetic data generation in the methods. For example, prompt-completions could be submitted as few-shot examples to a large open language model to generate sentence and corresponding paraphrased sentence.

Dataset

Load with Datasets

To load this dataset with Datasets, you'll just need to install Datasets as pip install datasets --upgrade and then use the following code:

from datasets import load_dataset
ds = load_dataset('SuryaKrishna02/aya-telugu-paraphrase')

Purpose of Collection

Telugu is a low-resource language where there no paraphase generation instruct-style dataset to the best of my knowledge. This was created as a part of Aya Open Science Initiative from Cohere For AI to make sure Telugu is well represented in the space of AI/ML. Unlike other datasets that are limited to non-commercial use, this dataset can be used, modified, and extended for any purpose, including academic or commercial applications.

Sources

Data Fields

  • inputs : Prompt or input to the language model.
  • targets : Completion or output of the language model.
  • template_id : Id of the template used in inputs and targets.
  • template_lang: ISO code of the language used in the inputs and targets where tel refers to Telugu.

Templates

For the creation of instruct-style prompts and completions from the original dataset, the following one template category with 6 different variations were used:

  1. Given a sentence, generate a sentence with similar meaning.

    template_id inputs targets
    1 ఈ క్రింది వాక్యం మరోరీతిలో రాయి:\n{{Original Sentence}} {{Paraphrased Sentence}}
    2 ఈ వాక్యం మరోరీతిలో రాయి: {Original Sentence}} {{Paraphrased Sentence}}
    3 ఈ క్రింది వాక్యం ఇంకొలాగా రాయి:\n{{Original Sentence}} {{Paraphrased Sentence}}
    4 ఈ వాక్యం ఇంకొలాగా రాయి: {{Original Sentence}} {{Paraphrased Sentence}}
    5 ఈ క్రింది వాక్యం మరోరకంగా రాయి:\n{{Original Sentence}} {{Paraphrased Sentence}}
    6 ఈ వాక్యం మరోరకంగా రాయి: {{Original Sentence}} {{Paraphrased Sentence}}

Personal or Sensitive Data

This dataset contains public information. To our knowledge, there are no private person’s personal identifiers or sensitive information.

Language

Telugu

Known Limitations

  • The Dataset is converted from the existing dataset and the contents of this dataset may reflect the bias, factual errors and sensitive matters.
  • Although there is utmost care taken to keep the dataset as monolingual, there might be some records that may contain English Language along with Telugu.

Contributors

SuryaKrishna02 and Desik98