This repository contains a preparation pipeline and a small metadata sample for Finance work with Image Depth inputs. It does not claim to be a complete benchmark release; the loader documents how source data is normalized and validated. - preprocess.py — loading, cleaning, and split preparation code. - datasetinfos.json — schema and split metadata. - metadatasample.jsonl — small, human-readable records for checking the schema. - README.md — data card and usage notes. Before using the prepared data, verify source licenses, duplicates across splits, missing values, label balance, and modality-specific corruption. Record the source version and every filtering rule so a later run can reproduce…
Independent publisher
Austin Davis
austindavis4
fine-tuning, embedding
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