CJ9096/Indian_IPO_datasets

Codes: https://github.com/sohomghosh/Indian_IPO

Main Files ----------------------

ipomainlinefinaldatav18.xlsx and SMEdatafinal_v11.xlsx are the main files containing all the relevant features.

These files contain the following columns. NOTE: P = Presence (B= Both, M = Main Board, S = SME), T = Type of variable (I = Independent Variable i.e. Features, D = Dependent Variable i.e. Target)

Files having DeBERTa probabilities - debertaprobabilities/debertaprobabilities\<mb or sme>success_\<open or high or close>.csv

Files having probabilities from Machine Learning models trained using Nomic - nomicembeddingsmlpredictions/\<mainboard or sme>textfeaturepredictions.zip

Files having Grey Maret Price (GMP) data - GMPdata/GMPMainline20192024YTDInvestorgrainCLEAN.xlsx, GMPSME20192024YTDInvestorgrainCLEANv2.xlsx

Files having raw text extracted from DRHP/RHP PDFs - textsextractedfrompdfs/ipomainlinetxtsextracted.zip, textsextractedfrompdfs/iposmetxtsextracted.zip

List of questions asked while leveraging the Retrieval-Augmented Generation (RAG) framework - questions/questionstoask_rhp.csv

@misc{ghosh2024experimentingmultimodalinformationpredict,
      title={Experimenting with Multi-modal Information to Predict Success of Indian IPOs}, 
      author={Sohom Ghosh and Arnab Maji and N Harsha Vardhan and Sudip Kumar Naskar},
      year={2024},
      eprint={2412.16174},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2412.16174}, 
}