The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 127, in _split_generators
self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
~~~~~~~~~~~~~~^^^
File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 2424, in read_schema
file = ParquetFile(
where, memory_map=memory_map,
decryption_properties=decryption_properties)
File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 328, in __init__
self.reader.open(
~~~~~~~~~~~~~~~~^
source, use_memory_map=memory_map,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...<8 lines>...
arrow_extensions_enabled=arrow_extensions_enabled,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "pyarrow/_parquet.pyx", line 1656, in pyarrow._parquet.ParquetReader.open
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Parquet magic bytes not found in footer. Either the file is corrupted or this is not a parquet file.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Bitcoin OHLCV Pack — Full 6.5-Year Dataset (Free)
6 timeframes · 3.4M candles (1m) · 2020–2026 · Free, no email required
Complete Bitcoin OHLCV dataset built from audited tick-level trade data by The Glitch List.
What's Included
- 6 Parquet files: 1m, 5m, 15m, 1h, 4h, 1d
- Coverage: 2020-01-01 → 2026-07-04 (6.5 years)
- Zero look-ahead bias — verified
- Format: Apache Parquet (ZSTD compressed)
- Built from audited BTC/USDT tick-level trades
Quick Start
import polars as pl
df = pl.read_parquet("BTC_OHLCV_1m.parquet")
print(df.shape)
print(df.head())
Need Tick-Level Data?
The OHLCV pack is built from raw tick data. For HFT simulation, order flow imbalance, and market microstructure research, you need the tick-level dataset.
License
Personal research and trading bot development only. No commercial redistribution, resale, or public API deployment.
Citation
If you use this dataset, please credit The Glitch List and link to theglitchlist.com.
🎁 REGALO SORPRESA: Sovereign Setup — Hyperliquid Onboarding Kit
¡Sí, lo has leído bien! Con este dataset te regalamos además el Sovereign Setup — Hyperliquid Onboarding Kit completo, GRATIS: una guía interactiva paso a paso para salir de los exchanges centralizados y operar por fin en tu propia wallet, con control total de tus claves.
Lo encontrarás dentro del ZIP como BONUS_sovereign-setup-hyperliquid-kit.zip. Ábrelo, sigue los pasos, y bienvenido a la soberanía financiera. 🚀
Want the full audited dataset? The Glitch List publishes tick-level and OHLCV crypto data with a documented integrity declaration (gaps included). Full 12-month tick-level version: https://whop.com/btc-spot-tick-last-year/?utm_source=hf&utm_medium=sample&utm_campaign=btc
Also from The Glitch List
This dataset is published by The Glitch List. We also run TGL Macro Alerts: Gold and S&P 500 breakout alerts in Discord, scored 0-6, with public rules and a public log of every alert.
Alerts, not financial advice. Past alerts don't predict future results.
Free breakout log (open data, no email): https://theglitchlist.com/breakout-log/?utm_source=hf&utm_medium=sample&utm_campaign=breakout-log
Building a bot? Audit your backtest before you trust it. The Backtest CSV Auditor runs 8 automated checks on a trade log: look-ahead bias, sample size, win-rate plausibility, round-number P&L, walk-forward drift and more: https://theglitchlist.com/product/backtest-csv-auditor/?utm_source=hf&utm_medium=sample&utm_campaign=auditor
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