Kogann/stockmatch-synthetic
StockMatch Synthetic Dataset & EDA Overview Dataset Overview This dataset contains 12,500 synthetic stock profiles designed for building an AI-powered stock recommendation system. It combines key numerical financial metrics with LLM-generated business summaries (Qwen2.5). Exploratory Data Analysis (EDA) & Cleaning Summary During the EDA process, we systematically analyzed and refined the dataset based on the following findings: Irrelevant Columns… See the full description on the dataset page: https://huggingface.co/datasets/Kogann/stockmatch-synthetic.
Update README.md
Update README.md (#13)
Update README.md (#12)
Update README.md
Update README.md (#10)
Update README.md (#9)
Update README.md (#8)
Update README.md
Update README.md
Update README.md
Update README.md (#7)
Delete data_science_FP_updated.ipynb
Upload StockMatch_FinalProject.ipynb
Upload data_science_FP_updated.ipynb (#6)
Update README.md (#4)
Update README.md (#3)
Create README.md (#2)
Upload data_science_FP_updated.ipynb (#1)
Upload quickstart_rationales.json with huggingface_hub
Delete stockmatch_synthetic.csv.new.csv
Upload embedding_config.json with huggingface_hub
Upload stock_metadata.parquet with huggingface_hub
Upload stock_embeddings_BGE-small.npy with huggingface_hub
Upload stockmatch_synthetic.csv with huggingface_hub
Upload stockmatch_synthetic.csv.new.csv
initial commit