--- license: odc-by pretty_name: "Bitcoin mempool lifecycle, dwell times and fee estimates" tags: - mempool - transaction-fees - fee-estimation - bitcoin - litecoin - ethereum - blockchain - cryptocurrency - time-series task_categories: - time-series-forecasting size_categories: - 1M 0` if a zero would break your arithmetic rather than treating it as a decode fault. - Timestamps are ours, taken at observation. They are not consensus timestamps and carry our network distance to whatever served the data. - Ethereum rows are included for comparison. If Ethereum is your subject, the Flashbots Mempool Dumpster publishes the same measurement daily under CC-0 from a wider node set and a longer history. Theirs is better; use it. Partitions are parquet, one file per collection window, under `dataset/YYYY/MM/`. This repo carries a FIXED 7-day sample (2026-08-25 to 2026-08-31) so you can check schema, coverage and quality before asking for more. It does not advance, so there is nothing to gain by re-downloading it. The full history is held privately, available on request. ```python from huggingface_hub import snapshot_download import pandas as pd, glob path = snapshot_download("dataforge-labs/bitcoin-mempool-lifecycle", repo_type="dataset", allow_patterns="e8_btc_mempool_lifecycle/**") df = pd.concat(map(pd.read_parquet, glob.glob(f"{path}/e8_btc_mempool_lifecycle/**/*.parquet", recursive=True))) ``` ## Coverage `e0_run_manifest` lists every collection window with its poll counts and failure counts, and is published in full rather than windowed. Gaps between windows are real, cannot be filled in afterwards, and nothing here is interpolated. ## License and contact ODC-BY: use it freely, credit "DataForge (dataforge-labs)". Questions and requests for the full history via the discussions tab.