metadata

license: cc-by-nc-sa-4.0
task_categories:
  - text-classification
language:
  - en
tags:
  - finance
size_categories:
  - 10K<n<100K

FinRAD: Financial Readability Assessment Dataset - 13,000+ Definitions of Financial Terms for Measuring Readability

This repository contains the dataset mentioned in the paper: FinRAD: Financial Readability Assessment Dataset - 13,000+ Definitions of Financial Terms for Measuring Readability (presented at The Financial Narrative Processing Workshop colocated with LREC-2022, Marseille, France).

In addition to this, data collection & cleaning scripts, embedding extraction & model development script, and a starter example are also present. You can dowloand the model along with the weights from Hugging Face.

The embeddings & labels of the full dataset are available in the embeddings_and_labels directory. Several model artifacts developed by training classiers like Logistic Regression, GBM, Random Forest on the entire dataset have been made available in the models directory.

Github version: https://github.com/sohomghosh/FinRAD_Financial_Readability_Assessment_Dataset/

Kaggle version: https://www.kaggle.com/datasets/sohomghosh/finrad-financial-readability-assessment-dataset

Metadata of FinRAD

Primary Columns:
"terms": This is the financial term
"definitions": This is the definition corresponding to the financial term
"source": This represents the source from which the term and the definition has been obtained.
"assigned_readability": This is the manually assigned readability. 0 means not readable, 1 means readable.

Other Columns:
"flesch_reading_ease", "flesch_kincaid_grade", "smog_index", "coleman_liau_index", "automated_readability_index", "dale_chall_readability_score", "linsear_write_formula", "gunning_fog"
These are readability scores extracted using the textstat library

Metadata of source

Tag	Description	Assigned Readability
prin	Principles of Corporate Finance by Richard A. Brealey, Stewart C. Myers, Franklin Allen	0
zvi	Investments by Zvi Bodie Alex Kane Alan J. Marcus	0
sam	Economics Textbook by Paul Samuelson and William Nordhaus	1
opod	Options, Futures, and Other Derivatives, Global Edition by John C. Hull	0
fmi	Financial Markets and Institutions by Frederic S. Mishkin Stanley Eakins	0
ncert_keec111	NCERT Indian Economic Development Economics Class 11	1
ncert_kest	NCERT Statistics for Economics Class 12	1
ncert	NCERT Introduction to MacroEconomics Class 12	1
ncert_class12_econ	NCERT Introduction to MicroEconomics Class 12	1
investopedia	Investopedia Data Dictionary	1
economist	The Economist terms dictionary	1
6_8_louis	Glossary of Economics and Personal Finance Terms from Federal Reserve Bank of St. Louis	1
9_12_louis	Glossary of Economics and Personal Finance Terms from Federal Reserve Bank of St. Louis	1
pre_louis	Glossary of Economics and Personal Finance Terms from Federal Reserve Bank of St. Louis	1
palgrave	The Palgrave Macmillan Dictionary of Finance, Investment and Banking by Erik Banks	0

Citing & Authors

If you find this repository helpful, feel free to cite our forthcoming publication [FinRAD: Financial Readability Assessment Dataset - 13,000+ Definitions of Financial Terms for Measuring Readability](to be updated):

@InProceedings{ghosh-EtAl:2022:FNP,
  author    = {Ghosh, Sohom  and  Sengupta, Shovon  and  Naskar, Sudip Kumar and  Singh, Sunny Kumar},
  title     = {FinRAD: Financial Readability Assessment Dataset - 13,000+ Definitions of Financial Terms for Measuring Readability},
  booktitle      = {Proceedings of the The 4th Financial Narrative Processing Workshop @LREC2022},
  month          = {June},
  year           = {2022},
  address        = {Marseille, France},
  publisher      = {European Language Resources Association},
  pages     = {1--9},
  url       = {http://www.lrec-conf.org/proceedings/lrec2022/workshops/FNP/pdf/2022.fnp-1.1.pdf}
}

and our demo/tool presented at ICON 2021. The artifacts of this demo are available in the old_model_FinRead directory.
New model trained on 13K+ instances (using Logistic Regression): HuggingFace Spaces link
Old model trained on 8K+ instances (using lightgbm classifier): Google Colab link

@inproceedings{ghosh-etal-2021-finread,
    title = "{F}in{R}ead: A Transfer Learning Based Tool to Assess Readability of Definitions of Financial Terms",
    author = "Ghosh, Sohom  and
      Sengupta, Shovon  and
      Naskar, Sudip  and
      Singh, Sunny Kumar",
    booktitle = "Proceedings of the 18th International Conference on Natural Language Processing (ICON)",
    month = dec,
    year = "2021",
    address = "National Institute of Technology Silchar, Silchar, India",
    publisher = "NLP Association of India (NLPAI)",
    url = "https://aclanthology.org/2021.icon-main.81",
    pages = "658--659"
    }

Contact: [email protected]

For any part of this work for which the license is applicable, this work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 Internationallicense. See LICENSE.CC-BY-NC-SA-4.0.