Datasets:
annotations_creators:
- expert-generated
language:
- te
language_creators:
- expert-generated
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: Telugu Riddles
size_categories:
- n<1K
source_datasets:
- original
tags:
- riddles
task_categories:
- text-generation
task_ids:
- language-modeling
Summary
TeluguRiddles is an open source dataset of instruct-style records generated by webscraping multiple riddles websites. 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
TeluguRiddles is a corpus of more than 800 records generated by webscraping multiple riddles websites. This Dataset can be used for the following task:
- Given the riddle, generate the answer for that riddle.
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 additional riddles and their respective answers.
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('desik98/TeluguRiddles')
Purpose of Collection
Telugu is a low-resource language where there no riddles and their answers 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
- Mutiple Riddles Websites: Performed webscraping from 1, 2, 3, 4 and 5 websites which consists of riddles of varying difficulties. Next, performed some pre-processing of the data like removing unwanted characters and bad riddles from the scraped data. Finally, converted the scraped data into Instruct-style prompts and completions.
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 ininputsandtargets.template_lang: ISO code of the language used in theinputsandtargetswhere tel refers to Telugu.
Templates
For the creation of instruct-style prompts and completions from the scraped data, the following one template with 2 different templates were used:
- Given Title/Headline of the article, generate the article with that Title/Headline.
template_id inputs targets 1 ఈ రిడిల్ కి సమాధానం ఇవ్వు {{Riddle}}మీరు అడిగిన రిడిల్ కి సమాధానం: {{Answer}}2 ఈ పొడుపు కథ కి సమాధానం ఇవ్వు {{Riddle}}మీరు అడిగిన పొడుపు కథ కి సమాధానం: {{Answer}}
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 scraped from the mutiple riddle websites and the contents of this dataset may reflect the bias, factual errors, inappropriate 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.