The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowInvalid
Message: JSON parse error: Invalid value. in row 0
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 342, in _generate_tables
df = pandas_read_json(f)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 815, in read_json
return json_reader.read()
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1014, in read
obj = self._get_object_parser(self.data)
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
obj = FrameParser(json, **kwargs).parse()
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1176, in parse
self._parse()
~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1392, in _parse
ujson_loads(json, precise_float=self.precise_float), dtype=None
~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4645, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2866, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3073, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2581, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 345, in _generate_tables
raise e
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 291, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
HyperNatt Hyperliquid L2 sample BTC 20260911
One UTC day (2026-09-11) of the raw BTC streams of the HyperNatt Hyperliquid L2 archive, free under CC BY 4.0, so the format and the hashes can be checked before buying the archive.
DOI: 10.5281/zenodo.24151403 (Zenodo record of the same file).
Notebook: a public analysis of this day (cross-check of the four order-book views, stitched depth curve, sweep cost by order size): https://github.com/hypernatt/hyperliquid-l2-notebooks
Publisher: Hamet Diallo — DIALLOUBE RESEARCH / HyperNatt — https://hypernatt.com/datasets
Files written by the HyperNatt recorder from the public Hyperliquid API, unchanged. WebSocket streams
(l2Book_REF, l2Book_M2, l2Book_M5, l2Book_AGG4, bbo, trades): one compressed JSON Lines file (.jsonl.gz) per UTC hour, each matching the SHA-256
the recorder wrote when that hour closed (SEALS.jsonl). REST streams (CANDLES, FUNDING): one JSON snapshot
per UTC hour. Every file of the zip is listed in SHA256SUMS.
File
| File | Size (bytes) | Files inside | SHA-256 |
|---|---|---|---|
HYPERNATT_HL_L2_BTC_SAMPLE_20260911.zip |
88487924 | 203 | 128aa6beaff2aa294a3d711f810744977c46ee2eac4c1d9f9f80405e0c24df03 |
Check the download, then the content:
sha256sum HYPERNATT_HL_L2_BTC_SAMPLE_20260911.zip # must print 128aa6beaff2aa294a3d711f810744977c46ee2eac4c1d9f9f80405e0c24df03
unzip HYPERNATT_HL_L2_BTC_SAMPLE_20260911.zip && cd HYPERNATT_HL_L2_BTC_SAMPLE_20260911
sha256sum -c SHA256SUMS # macOS: shasum -a 256 -c SHA256SUMS
python verify_integrity.py
Streams in this sample
| Stream | Source | Levels per side | Median interval on the day |
|---|---|---|---|
l2Book_REF |
ws l2Book | 20 | 5.389 s |
l2Book_M2 |
ws l2Book (mantissa=2, nSigFigs=5) | 20 | 5.389 s |
l2Book_M5 |
ws l2Book (mantissa=5, nSigFigs=5) | 20 | 5.389 s |
l2Book_AGG4 |
ws l2Book (nSigFigs=4) | 20 | 5.389 s |
bbo |
ws bbo | 1 | 0.099 s |
trades |
ws trades | — | 0.404 s |
CANDLES |
rest candleSnapshot 15m, hourly (interval=15m) | — | hourly snapshot |
FUNDING |
rest fundingHistory, hourly | — | hourly snapshot |
Not in this sample (recorded after this day, present in the full archive): l2Book_FAST (recorded from 2026-10-09T19:00:00Z).
BBO mid on the day: open 76533.5, close 77179.5, high 79866.5 at 2026-09-11T14:03:07.339Z, low 76034.5 at 2026-09-11T12:30:28.355Z.
Field definitions: SCHEMA.md; inventory and verification: SECURITY.md; getting started: quickstart.py.
Full archive
BTC and ETH, 2026-09-06T14:00:00Z to 2026-11-10T23:00:00Z (last hour included), 1570 hours, release 20261110, under the hypernatt-commercial-research-licence-v1.1: https://hypernatt.com/datasets
Licence and attribution
CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Credit: HyperNatt Hyperliquid L2 archive, DIALLOUBE RESEARCH / HyperNatt, https://hypernatt.com/datasets.
Citation
Cite with the DOI https://doi.org/10.5281/zenodo.24151403 (Zenodo record of the same file).
The zip carries CITATION.cff (same title, author, version, date and address):
cff-version: 1.2.0
message: "If you use this dataset, please cite it as below."
type: dataset
title: "HyperNatt Hyperliquid L2 sample BTC 20260911"
authors:
- family-names: "Diallo"
given-names: "Hamet"
affiliation: "DIALLOUBE RESEARCH / HyperNatt"
version: "sample-20260911"
date-released: "2026-11-11"
url: "https://hypernatt.com/datasets"
keywords: [hyperliquid, order book, l2, market microstructure, bbo, trades]
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