Datasets:
crypto-execution-costs: 2026-09-01
Browse files
README.md
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- Depth covers a single venue, so it sizes that one book rather than the market. Treat it as
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one participant's view; a second venue would be a control and there is not one here.
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Partitions are parquet, one file per collection window, under `dataset/YYYY/MM/`. Every dataset here carries a FIXED 7-day sample
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```python
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from huggingface_hub import snapshot_download
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- Depth covers a single venue, so it sizes that one book rather than the market. Treat it as
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one participant's view; a second venue would be a control and there is not one here.
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Partitions are parquet, one file per collection window, under `dataset/YYYY/MM/`. Every dataset here carries a FIXED 7-day sample taken from its own first day of collection, together spanning 2026-08-25 to 2026-09-03, 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.
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```python
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from huggingface_hub import snapshot_download
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e0_run_manifest/2026/09/2026-09-01T0712Z.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:53eb3fe756740d46fa61df74b179cbbde56999db9bc31e670b0e24797bb9b620
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size 13290
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e16_dex_routes/2026/09/2026-09-01T0712Z.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:a89e1baf8292699928f27d4d9678b37266ccd6fc2ec13f7e90a15e3b970c6ba4
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size 46037
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e17_perp_depth/2026/09/2026-09-01T0712Z.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:41da611a0de32183ea936f6fe6cffea3c71eefdcc274b6a18f911480f12f48fd
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size 25470
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