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Datasets:
mastergokul
/
project-madurai-books

Tasks:
Text Classification
Question Answering
Sentence Similarity
Modalities:
Tabular
Text
Formats:
csv
Languages:
Tamil
Size:
1K - 10K
Libraries:
Datasets
pandas
License:
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metadata
configs:
  - config_name: Metadata
    data_files: pm_info_table.csv
  - config_name: Source Data
    data_files: pm_source_text.csv
task_categories:
  - text-classification
  - question-answering
  - sentence-similarity
  - token-classification
language:
  - ta
pretty_name: Project Madurai
size_categories:
  - n<1K
license: apache-2.0

Project Madurai Books Text Dataset

This dataset card aims to convert the Tamil books available on the Project Madurai website to the HF dataset. It has been scrapped from Project Madurai Website.

Dataset Details

  • You can see a table above called "Meta Data", which is just an info table. You can't able to preview the "Source Data" table, due to it is about 300MB. [Don't open the Dataset in Excel It will lead to a crash of the OS instead open it using Python in pandas or datasets]

  • "Project Madurai" was a great initiative in 2008, to make the Tamil Language available to everyone on the internet.

  • They converted almost 1006 books to the format of PDF and HTML pages.

  • By utilizing the website this dataset is created .

  • The dataset contains more genres of books from Tamil Literature to Fiction which can be very useful to develop an NLP model for Tamil.

Dataset Structure

First Table Structure

  • This Table Contains the Meta Data of the Dataset Which Tells the Index, Work.No[no of the book],Author of the Book,Title of the book, Unicode[The Html Page name which the source of the book is available].

  • This Table can be used to find the source of the data in the "Source Data"[second table].

Second Table Structure

  • This Table Contains the Source Data of the Dataset Which Tells the Index, Book_Id[HTML page name],Link of the Book,tamil_text of the book. Second_table

  • In this Table each of the row contains a single book or half of the book[due to one book in different html pages].

  • The 'tamil_text' column contains more than 95% tamil text , and others are romen letters, numberals, english text. While scarpping it the tamil text and english text both in single tag, it can be cleaned in future.

  • The 'tamil_text' column may contain delimeters like ['',.?!/n-] to process the data easier.

  • The Table contains more than 1006 rows due to some books splitted in to different parts.

Special Thanks

  • Project Madurai Team.