Added the dataset card.

README.md

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+---
+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](https://sites.google.com/cohere.com/aya-en/home) from Cohere For AI.
+
+This dataset can be used for any purpose, whether academic or commercial, under the terms of the [Apache 2.0](https://opensource.org/license/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:
+
+```python
+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](https://sites.google.com/cohere.com/aya-en/home) 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](https://telugupatham.blogspot.com/p/podupu-kathalu.html), [2](http://www.maganti.org/podupu/podupu1.html), [3](https://teluguadda.co.in/podupu-kathalu-telugu-with-answers/), [4](http://palukuteniyalu.blogspot.com/2016/03/blog-post_17.html) and [5](http://mostusefulthings.blogspot.com/2011/06/blog-post.html) 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.
+
+## Templates
+For the creation of instruct-style prompts and completions from the scraped data, the following one template was used:
+1. Given Title/Headline of the article, generate the article with that Title/Headline.
+```python
+Prompt:
+ఈ ("రిడిల్" / "పొడుపు కథ") కి సమాధానం ఇవ్వు
+{{Riddle}}
+
+Completion:
+మీరు అడిగిన ("రిడిల్" / "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.
+
+# Contributors
+[Desik98](https://github.com/desik1998) and [SuryaKrishna02](https://github.com/SuryaKrishna02)