pretty_name: Cryptocurrency Market Research Dataset
tags:
- cryptocurrency
- finance
- time-series
- parquet
task_categories:
- time-series-forecasting
Crypto Market Research Dataset
Personal-use staging package for crypto market research and model training.
Scope
This package is organized into four layers:
market/: cleaned exchange market data.derivatives/: funding rate, open interest, and related derivatives data.derived/: aligned or transformed research features.quality_reports/: coverage, completeness, and provenance reports.legacy/market_data/: broader historical source archive preserved for personal research; it may contain mixed raw and derived data.
The source workspace remains unchanged. This directory is the only staging area intended for a future Hugging Face upload.
The current package version is documented in VERSION.md. The field contract
for market bars is documented in schemas/market_bar_schema.json, and the
integrity list is stored in FILE_SHA256.csv.
Initial candidates
| Dataset | Source | Status |
|---|---|---|
| BTCUSDT 5m, 3 years | Binance Data Vision | Ready for packaging; coverage report passed |
| BTCUSDT 15m, 3 years | Binance Data Vision | Candidate; verify coverage report before upload |
| BTCUSDT 30m, 3 years | Binance Data Vision | Candidate; verify coverage report before upload |
| Sector leader aligned data | Public exchange datasets | Candidate; preserve source per field and review redistribution terms |
Important exclusions
The legacy market_data, manifest, and config directories are protected
inputs and are not copied here automatically. Mixed combined data is not
treated as canonical raw market data. Runtime files, databases, virtualenvs,
code, tests, and caches are excluded.
The contents under legacy/market_data/ are included because this is a private
personal-use archive. They are intentionally not promoted to the canonical
market-data layer and should be filtered by source, exchange, and provenance
before modeling.
Intended upload mode
Private Hugging Face dataset repository for personal use. Before upload, add a dataset card with source attribution, date ranges, schema, quality status, and the applicable license or redistribution notes for every upstream source.