license: apache-2.0
task_categories:
- text-generation
- question-answering
- conversational
language:
- ta
size_categories:
- 1K<n<2K
language_creators:
- expert-generated
- machine-generated
multilinguality:
- monolingual
pretty_name: tamil_stories
Summary
tamil_stories is an open source dataset of instruct-style records generated by scraping publicly available short stories on the following websites.
Apart from scraping and automated cleaning, the data was also tagged manually by a group of volunteers. This dataset created as part of Aya Open Science Initiative by 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
- Question Answering
Languages: Tamil Version: 1.0
Dataset Overview
tamil_stories is a corpus of 1202 records generated by converting scraped stories into instruction-style. This Dataset can be used for the following tasks:
- Given the story, generate the appropriate title for the story.
- Given some prominent characters/words from the story along with the title, generate the complete story.
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. For example, prompt-completions could be submitted as few-shot examples to a large open language model to generate new stories in a similar style.
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('aitamilnadu/tamil_stories')
Purpose of Collection
Tamil is a low-resource language (inspite of having rich literature) where there are no 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 Tamil 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
The following are the websites from which the data is scraped.
The scripts used for scraping and cleaning the data can be found here: Tamilsurangam Webscraper, Siruvarmalar Webscraper Dataset Creation
- The scraped data is carefully analysed making sure there are no missed words, spelling mistakes and the data is in Tamil only.
- Words/characters are manually added to stories by volunteers.
- Finally, converted the pre-processed data into instruct-style prompts and completions.
Templates
For the creation of instruct-style prompts and completions from the scraped data, the following templates were used:
Template Id: 1. Given the story, generate the appropriate title for the story.
Prompt:
கீழே கொடுக்கப்பட்டுள்ள கதைக்குப் பொருத்தமான தலைப்பைக் கொடு.
கதை: {Story}
Completion:
கொடுக்கப்பட்டுள்ள கதைக்குப் பொருத்தமான தலைப்பு '{Title}' என்பதாகும்.
Template Id: 2. Given some prominent characters/words from the story along with the title, generate the complete story.
Prompt:
கீழே கொடுக்கப்பட்டுள்ள வார்த்தைகளையும் தலைப்பையும் பயன்படுத்தி சிறு கதை எழுதுக.
வார்த்தைகள்: {Comma_Seperated_Words}
தலைப்பு: {Title}
Completion:
{Story}
Personal or Sensitive Data
This dataset contains public information. To my knowledge, there are no private person’s personal identifiers or sensitive information.
Language
Tamil
Known Limitations
- The meanings used in the prompts/completions are chosen randomly based on the availability of complete sentences and this may reflect some bias by ignoring other meanings written by other scholars.