Datasetpublic

sohomghosh/MiMIC_Multi-Modal_Indian_Earnings_Calls_Dataset

MiMIC_analysis_code.ipynb : This is the actual code file with results MiMIC_Multi-Modal_Indian_Earnings_Calls.xlsx : This is the main file having to be used for training. Descripton of columns of this file is given below. getting_all_texts_together_embeddings_dim128_CPU.pkl : This is the file having embeddings of texts (extracted from transcripts, images) and tables (extracted from images) concatenated one after the other.… See the full description on the dataset page: https://huggingface.co/datasets/sohomghosh/MiMIC_Multi-Modal_Indian_Earnings_Calls_Dataset.

sourceHugging Facecc-by-nc-sa-4.0updated 1y agoView on Hugging Face

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Dataset Card

MiMICanalysiscode.ipynb : This is the actual code file with results

MiMICMulti-ModalIndianEarningsCalls.xlsx : This is the main file having to be used for training. Descripton of columns of this file is given below.

gettingalltextstogetherembeddingsdim128CPU.pkl : This is the file having embeddings of texts (extracted from transcripts, images) and tables (extracted from images) concatenated one after the other.

gettingalltexts_together.pkl : This is the file having concatenated texts mentioned above.

imageembeddingmeanpooled128dimCPU_df.csv : This is the file having embeddings of images. For instances with multiple images, we have performed mean pooling.

rawdata/extractedtexts.zip : This is the file having texts extracted from the transcripts and presentations.

rawdata/extractedtablesfromimagesnewfiltered.zip : This is the file having tables extracted from the presentations.

rawdata/extractedimagesnewfiltered.zip : This is the file having images extracted from the presentations.

final_train.csv : Final training file with text & image classifier probabilities

final_valid.csv : Final validation file with text & image classifier probabilities

final_test.csv : Final test file with text & image classifier probabilities

BestPerformingModelonMiMIC.zip : Compressed version of best performing artifact

Description of Columns ----------------------

column_name	column_description
company_name	Name of the company
ticker	Ticker symbol of the company
companywebsitelink	Link to the company website
screener_link	Link to the screener
transcript_link	Link to the transcript
transcriptfilename	File name of the transcript
ppt_link	Link to the presentation
pptfilename	File name of the presentation
RESULT DATE	Result date
year	Year from Result date
month_numeric	Month from Result date
RESULT DATE open price	Open price on the result date
RESULT DATE+1	Date following the result date
SMA20	Simple Moving Average of 20 periods
SMA50	Simple Moving Average of 50 periods
RSI14	Relative Strength Index
gdp_growth	GDP growth rate
inflation	Inflation rate
NIFTY50_open	NIFTY 50 open price
NIFTY50_close	NIFTY 50 close price
NIFTY50_volume	NIFTY 50 traded volume
previous_year	Previous year
financial_year	Financial year
Sales	Company Sales
Expenses	Expenses incurred by company
Operating Profit	Operating Profit
OPM %	Operating profit margin
Other Income	Other income sources
Interest	Interest expense
Depreciation	Depreciation expense
Profit before tax	Profit before tax deduction
Tax %	Tax Percentage
Net Profit	Net Profit after tax
EPS in Rs	Earnings per share
Dividend Payout %	Dividend payout ratio
Equity Capital	Equity capital
Reserves	Reserves held by the company
Borrowings	Borrowings amount
Other Liabilities	Other liabilities
Total Liabilities	Total liabilities of company
Fixed Assets	Fixed assets of company
CWIP	Capital Work in Progress
Investments	Investments held
Other Assets	Other assets
Total Assets	Total assets of company
Cash from Operating Activity	Cash flow from operating activities
Cash from Investing Activity	Cash flow from investing activities
Cash from Financing Activity	Cash flow from financing activities
Net Cash Flow	Net cash flow
Revenue	Revenue generated
Financing Profit	Profit from financing activities
Financing Margin %	Financing Margin percentage
Deposits	Deposits amount
Borrowing	Borrowing amount
RESULT DATE+1 open price	Open price on the next day
TARGET-2 REGRESSION NORMALIZED	Target variable for regression (normalized)
split	Data split (train, validation, test)

bibtex

@misc{ghosh2025mimicmultimodalindianearnings,
      title={MiMIC: Multi-Modal Indian Earnings Calls Dataset to Predict Stock Prices}, 
      author={Sohom Ghosh and Arnab Maji and Sudip Kumar Naskar},
      year={2025},
      eprint={2504.09257},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2504.09257}, 
}