Initialize perp open data dataset

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LICENSE

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+Creative Commons Attribution 4.0 International (CC BY 4.0)
+
+You are free to share and adapt this dataset, including for commercial purposes, provided that appropriate credit is given.
+
+Canonical license text: https://creativecommons.org/licenses/by/4.0/

README.md

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+---
+license: cc-by-4.0
+pretty_name: Hyperliquid Perp Open Data
+tags:
+- finance
+- crypto
+- defi
+- trading
+- parquet
+- time-series
+task_categories:
+- tabular-regression
+---
+
+# Hyperliquid Perp Open Data
+
+Free, daily-updated perp-market data intended for quant research, backtesting, and market microstructure analysis.
+
+This repository is initialized for **chain-derived** Hyperliquid data. The public dataset must only contain records whose provenance is public chain/archive state, not venue REST API resale. The first production feed will publish Hyperliquid funding, trades, and open interest as partitioned Parquet.
+
+## Status
+
+Initialized. Data publication starts after the Hetzner chain-derived `hyperliquid_chain` sink is live.
+
+## Planned Layout
+
+```text
+hyperliquid_chain/
+  funding/date=YYYY-MM-DD/part-0000.parquet
+  trades/date=YYYY-MM-DD/part-0000.parquet
+  open_interest/date=YYYY-MM-DD/part-0000.parquet
+_schema.json
+_manifest.json
+```
+
+## Quickstart
+
+```python
+import pandas as pd
+
+repo = "GregM/hyperliquid-perp-open-data"
+url = f"https://huggingface.co/datasets/{repo}/resolve/main/hyperliquid_chain/funding/date=YYYY-MM-DD/part-0000.parquet"
+funding = pd.read_parquet(url)
+print(funding.head())
+```
+
+## Provenance
+
+Eligible public rows use one of these `source_kind` values:
+
+- `on_chain_event`
+- `chain_rpc`
+- `hypercore_s3`
+
+API-sourced internal research rows are intentionally excluded from this public dataset.

_manifest.json

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+{
+  "files": [],
+  "generated_at": "2026-05-10T11:25:12.152711+00:00",
+  "public_source_kinds": [
+    "chain_rpc",
+    "hypercore_s3",
+    "on_chain_event"
+  ],
+  "repo_id": "GregM/hyperliquid-perp-open-data",
+  "row_counts": {},
+  "status": "initialized"
+}

_schema.json

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+{
+  "allowed_public_source_kinds": [
+    "chain_rpc",
+    "hypercore_s3",
+    "on_chain_event"
+  ],
+  "datasets": {
+    "funding": [
+      "provider",
+      "symbol",
+      "recorded_at",
+      "exchange_time",
+      "funding_rate",
+      "mark_price",
+      "index_price",
+      "source_kind"
+    ],
+    "open_interest": [
+      "provider",
+      "symbol",
+      "recorded_at",
+      "open_interest_base",
+      "open_interest_usd",
+      "mark_price",
+      "index_price",
+      "source_kind"
+    ],
+    "trades": [
+      "provider",
+      "symbol",
+      "recorded_at",
+      "exchange_time",
+      "trade_id",
+      "side",
+      "price",
+      "size",
+      "notional_usd",
+      "source_kind"
+    ]
+  },
+  "public_dataset_rule": "Only chain-derived records are eligible for public parquet publishing.",
+  "schema_version": 1
+}

examples/quickstart.py

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+"""Minimal reader for GregM/hyperliquid-perp-open-data once daily parquet partitions are live."""
+
+import pandas as pd
+
+DATE = "YYYY-MM-DD"
+URL = "https://huggingface.co/datasets/GregM/hyperliquid-perp-open-data/resolve/main/hyperliquid_chain/funding/date={DATE}/part-0000.parquet"
+
+funding = pd.read_parquet(URL.format(DATE=DATE))
+print(funding.head())