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Dataset Card for Dataset Name
Dataset Description
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Dataset Summary
Prospectus text mining is very important for the investor community to identify major risks. factors and evaluate the use of the amount to be raised during an IPO. For this dataset author downloaded 100 prospectuses from the Indian Market Regulator website. The dataset contains the URL and OCR text for 100 prospectuses. Further, the author released a Roberta LM and sentence transformer for usage.
Supported Tasks and Leaderboards
N.A.
Languages
ENGLISH
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
There are 4 columns: title_prospectus: Title of the IPO prospectus href_prospectus: Location of HTML pdf_prospectus : Pdf of prospectus content_whole_prospectus: OCR text for the whole prospectus
Data Splits
N.A.
Dataset Creation
Curation Rationale
Prospectus text mining
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
This will help investors and the merchant bank community explore prospectuses in a more automated way, thus saving time.
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
@misc{ROBERTA GOES FOR IPO: PROSPECTUS ANALYSIS WITH LANGUAGE MODELS FOR INDIAN INITIAL PUBLIC OFFERINGS,
author = {Abhishek Mishra and Yogendra Sisodia},
title = {ROBERTA GOES FOR IPO: PROSPECTUS ANALYSIS WITH LANGUAGE MODELS FOR INDIAN INITIAL PUBLIC OFFERINGS},
year = {2022},
url = {https://aircconline.com/csit/papers/vol12/csit121905.pdf},
}
Contributions
Made by Author Scholarly360.