Datasets:
Dataset Viewer
The dataset viewer is not available for this split.
The info cannot be fetched for the config 'default' of the dataset.
Error code: InfoError
Exception: HfHubHTTPError
Message: 502 Server Error: Bad Gateway for url: https://huggingface.co/api/datasets/Abraxasccs/kraken-market-data/tree/f89a33d31a0f35ad792ca9afcac0401d34c73a55/data?expand=false&recursive=true&limit=1000&cursor=ZXlKbWFXeGxYMjVoYldVaU9pSmtZWFJoTDJOeWVYQjBieTkwY21Ga1pTOHlNREkxTFRFeUxURTRMekEwTG5CaGNuRjFaWFFpTENKMGNtVmxYMjlwWkNJNkltVmtNbVF4TTJVNU1UVXpORFU1TURSbE16VTNaV0U1T0RkbVltUmlZelE0WVRsa1kyVmhNVElpZlE9PToxMzAwMA%3D%3D
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 223, in compute_first_rows_from_streaming_response
info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
builder = load_dataset_builder(
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1132, in load_dataset_builder
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1031, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1004, in dataset_module_factory
).get_module()
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 631, in get_module
patterns = get_data_patterns(base_path, download_config=self.download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 473, in get_data_patterns
return _get_data_files_patterns(resolver)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 284, in _get_data_files_patterns
data_files = pattern_resolver(pattern)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/data_files.py", line 360, in resolve_pattern
for filepath, info in fs.glob(pattern, detail=True, **glob_kwargs).items()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 521, in glob
return super().glob(path, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/fsspec/spec.py", line 604, in glob
allpaths = self.find(root, maxdepth=depth, withdirs=True, detail=True, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 563, in find
out = self._ls_tree(path, recursive=True, refresh=refresh, revision=resolved_path.revision, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 446, in _ls_tree
self._ls_tree(
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 463, in _ls_tree
for path_info in tree:
^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 3140, in list_repo_tree
for path_info in paginate(path=tree_url, headers=headers, params={"recursive": recursive, "expand": expand}):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_pagination.py", line 46, in paginate
hf_raise_for_status(r)
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 482, in hf_raise_for_status
raise _format(HfHubHTTPError, str(e), response) from e
huggingface_hub.errors.HfHubHTTPError: 502 Server Error: Bad Gateway for url: https://huggingface.co/api/datasets/Abraxasccs/kraken-market-data/tree/f89a33d31a0f35ad792ca9afcac0401d34c73a55/data?expand=false&recursive=true&limit=1000&cursor=ZXlKbWFXeGxYMjVoYldVaU9pSmtZWFJoTDJOeWVYQjBieTkwY21Ga1pTOHlNREkxTFRFeUxURTRMekEwTG5CaGNuRjFaWFFpTENKMGNtVmxYMjlwWkNJNkltVmtNbVF4TTJVNU1UVXpORFU1TURSbE16VTNaV0U1T0RkbVltUmlZelE0WVRsa1kyVmhNVElpZlE9PToxMzAwMA%3D%3DNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Kraken Market Data
Real-time market data recorded from Kraken exchange WebSocket API.
Dataset Structure
data/
crypto/
ticker/ # Price snapshots (bid, ask, last, volume, etc.)
book/ # Order book depth (bids/asks as JSON)
ohlc/ # OHLC candlestick data
trade/ # Individual trade executions
Data Types
Ticker Schema
| Column | Type | Description |
|---|---|---|
| ts | Int64 | Timestamp (milliseconds since epoch) |
| pair | String | Trading pair (e.g., "BTC/USD") |
| bid | Float64 | Best bid price |
| ask | Float64 | Best ask price |
| last | Float64 | Last trade price |
| volume | Float64 | 24h volume |
| vwap | Float64 | 24h VWAP |
| high | Float64 | 24h high |
| low | Float64 | 24h low |
| change_pct | Float64 | 24h change percentage |
Order Book Schema
| Column | Type | Description |
|---|---|---|
| ts | Int64 | Timestamp (milliseconds since epoch) |
| pair | String | Trading pair |
| bids_json | String | JSON array of [price, qty] tuples |
| asks_json | String | JSON array of [price, qty] tuples |
OHLC Schema
| Column | Type | Description |
|---|---|---|
| ts | Int64 | Candle timestamp (milliseconds) |
| pair | String | Trading pair |
| open | Float64 | Open price |
| high | Float64 | High price |
| low | Float64 | Low price |
| close | Float64 | Close price |
| volume | Float64 | Volume |
| vwap | Float64 | Volume-weighted average price |
| trades | Int64 | Number of trades |
Trade Schema
| Column | Type | Description |
|---|---|---|
| ts | Int64 | Trade timestamp (milliseconds) |
| pair | String | Trading pair |
| side | String | "buy" or "sell" |
| price | Float64 | Trade price |
| qty | Float64 | Trade quantity |
| trade_id | Int64 | Exchange trade ID |
Usage
Python (datasets library)
from datasets import load_dataset
# Load ticker data
ds = load_dataset("Abraxasccs/kraken-market-data", data_dir="data/crypto/ticker")
# Load specific date
ds = load_dataset(
"Abraxasccs/kraken-market-data",
data_files="data/crypto/ticker/2025-12-17/*.parquet"
)
Python (pandas)
import pandas as pd
# Direct parquet read
df = pd.read_parquet("hf://datasets/Abraxasccs/kraken-market-data/data/crypto/ticker/2025-12-17/13.parquet")
Rust
use parquet::file::reader::FileReader;
// Download files from HuggingFace Hub first
Pairs Tracked
Crypto:
- BTC/USD, BTC/EUR
- ETH/USD, ETH/EUR
- SOL/USD, SOL/EUR
- DOT/USD, DOT/EUR
- MATIC/USD, MATIC/EUR
Data Recording
Data is recorded continuously using a Rust trading bot:
- Crypto sampling: Every 30 seconds
- Flush interval: Every hour
- Upload delay: 1 hour (ensures files are complete)
License
MIT
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