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 Tick-Level Trade Data — Free 1-Week Sample
Free sample of tick-level trade data for BTC/USDT, covering February 19–26, 2025.
This is a 1-week excerpt from a fully audited 6.5-year historical dataset (2020–2026), part of The Glitch List — a data engineering lab based in Barcelona producing institutional-grade crypto trade datasets.
Dataset Summary
- Rows in this sample: ~27.9M
- Format: Apache Parquet (ZSTD compressed)
- Period: 2025-02-19 → 2025-02-26 (7 days)
- Schema: 9 columns —
exchange, symbol, trade_id, exchange_ts, ingest_ts, price, quantity, aggressor_side, raw_side - Quality: Row-by-row audited — no interpolated or synthetic data. Timestamp normalization applied and documented.
Quick Start
import pandas as pd
df = pd.read_parquet("data/sample_BTC_2025-02-19_to_2025-02-26.parquet")
print(df.shape)
print(df.head())
Or via datasets:
from datasets import load_dataset
ds = load_dataset("jalvart/bitcoin-tick-level-trade-data-free-sample")
Strategy Starter Kit (Free Jupyter Notebook)
The full dataset includes a free Jupyter notebook with pre-built analysis ready to run:
- VWAP (Volume Weighted Average Price) — hourly buckets
- Realized volatility — rolling 24h window
- Order Flow Imbalance (OFI) — buy vs sell taker pressure, tick by tick
⚠️ Order flow imbalance can only be calculated with tick-level data — it cannot be reconstructed from OHLCV candles.
Full Dataset
This sample is a 1-week excerpt from the Last Year rolling dataset — the most recent 12 months of Bitcoin (BTC/USDT) tick-level trade data, updated every quarter.
More assets and full catalog: theglitchlist.com
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?utm_source=huggingface&utm_medium=referral&utm_campaign=free_sample.
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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