financial-dataset
Multimodal-Dataset-Image_Text_Table_TimeSeries-for-Financial-Time-Series-ForecastingThe sp500stock_data_description.csv file provides detailed information on the existence of four modalities (text, image, time series, and table) for 4,213 S&P 500 stocks.
The hs300stock_data_description.csv file provides detailed information on the existence of four modalities (text, image, time series, and table) for 858 HS 300 stocks.
If you find our research helpful, please cite our paper:
@article{xu2025finmultitime,
title={FinMultiTime: A Four-Modal Bilingual Dataset for… See the full description on the dataset page: https://huggingface.co/datasets/Wenyan0110/Multimodal-Dataset-Image_Text_Table_TimeSeries-for-Financial-Time-Series-Forecasting.Financial_datasetsBangla_Financial_news_articles_Dataset
Bangla-Financial-news-articles-Dataset
A Comprehensive Resource for Analyzing Sentiments in over 7600+ Bangla News.
Downloads
🔴 Download the "💥Bangla_fin_news.zip" file for all "7,695" news and extract it.
About Dataset
Welcome to our Bengali Financial News Sentiment Analysis dataset! This collection comprises 7,695 financial news articles extracted, covering the period from March 3, 2014, to December 29, 2021. Utilizing the powerful web scraping tool… See the full description on the dataset page: https://huggingface.co/datasets/ashtrayAI/Bangla_Financial_news_articles_Dataset.financial-qa-dataset
financial-qa-dataset
This dataset consists of Question-Answer_Context Pairs. It also consists of metadata for filtering the records.
Repo Structure
financial-qa-dataset
├── financial-qa-dataset.csv
├── metadata.csv
├── notebooks
│ |── loading_dataset.ipynb
│ |── Loading_dataset_huggingface.ipynb
│ |── basic_rag_langchain_vertexai.ipynb
│ |── basic_rag_with_evaluation.ipynb
|
├── data
|── Statements
|── Reports… See the full description on the dataset page: https://huggingface.co/datasets/adityarane/financial-qa-dataset.FinQA_TAT-QA_financial_finetuning_dataset
Dataset Summary
This dataset provides a unified, flattened context / question / answer format for
question answering over financial documents that combine tabular and textual data. It is
built to support training and evaluating models on numerical and discrete reasoning
tasks in the finance domain, drawing on the structure and style of established
finance-QA benchmarks such as TAT-QA and FinQA.
Each example pairs a passage of financial context (derived from a table and/or… See the full description on the dataset page: https://huggingface.co/datasets/hellotayssir/FinQA_TAT-QA_financial_finetuning_dataset.Sujet-Financial-RAG-EN-Dataset
Sujet Financial RAG EN Dataset 📊💼
Description 📝
The Sujet Financial RAG EN Dataset is a comprehensive collection of English question-context pairs, specifically designed for training and evaluating embedding models in the financial domain. To demonstrate the importance of this approach, we hand-selected a variety of publicly available English financial documents, with a focus on 10-K Forms.
A 10-K Form is a comprehensive report filed annually by public companies about… See the full description on the dataset page: https://huggingface.co/datasets/sujet-ai/Sujet-Financial-RAG-EN-Dataset.