Datasets:

smilegeng
/

solusdt_enhanced_180

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 304, in _scan_metadata
                  from tsfile.constants import TIME_COLUMN, ColumnCategory
              ModuleNotFoundError: No module named 'tsfile'
              
              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 66, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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.

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SOLUSDT 180 Days (TsFile format)

Original dataset: https://huggingface.co/datasets/roadz/solusdt_enhanced_180

This dataset is a conversion to TsFile format of the Hugging Face dataset roadz/solusdt_enhanced_180, with data content identical to the original.

Original dataset: roadz/solusdt_enhanced_180
Original author: roadz (Hugging Face)
License: apache-2.0

Conversion Notes

The original dataset is a single CSV (data_SOLUSDT_180d.csv) for the single SOL/USDT pair; the conversion outputs one TsFile (train.tsfile), neither merged nor split.
No TAG: the whole file is one trading pair; open_time is globally unique and strictly increasing (constant 60000 ms = 1 minute interval), so there is no natural device dimension and all columns are FIELD.
The original open_time column is already epoch milliseconds as integers and is used directly as the TsFile Time column (INT64, millisecond precision); the time info is fully preserved.
The other 9 columns are all kept as DOUBLE (including number_of_trades, which holds integer values but has float dtype in the source).
No columns or rows dropped (all 259,200 rows retained).

SOLUSDT Raw Dataset

The following is the original dataset description, kept verbatim.

Dataset Summary

Raw minute-by-minute trading data for SOL/USDT pair from Binance exchange. The dataset covers 180 days of trading activity, providing comprehensive market data including price, volume, and trade information. This data is suitable for various financial analysis tasks, time series forecasting, and market research.

Supported Tasks

Time Series Forecasting
Price Prediction
Market Analysis
Trading Strategy Development
Volume Analysis
Market Microstructure Research

Dataset Structure

The dataset contains 259,200 records with 10 features.

Time Range

Start Date: 2024-04-29 17:24:00
End Date: 2024-10-26 17:23:00
Interval: 1 minute

Features

Feature Name	Description	Type
open_time	Timestamp of the candlestick open	timestamp
open	Opening price in USDT	float
high	Highest price in USDT	float
low	Lowest price in USDT	float
close	Closing price in USDT	float
volume	Trading volume in SOL	float
quote_asset_volume	Trading volume in USDT	float
number_of_trades	Number of trades executed	float
taker_buy_base_asset_volume	Taker buy volume in SOL	float
taker_buy_quote_asset_volume	Taker buy volume in USDT	float

In TsFile, open_time is the Time column (INT64 milliseconds) and the remaining 9 columns are FIELD (DOUBLE).

Dataset Creation

Source Data

Source: Binance Public API
Original Format: Minute candlesticks
Collection Method: Direct API download

Citation

@misc{solusdt_dataset,
  title={SOLUSDT 180 Days Trading Data},
  author={roadz},
  year={2024},
  publisher={Hugging Face},
  howpublished={\url{https://huggingface.co/datasets/roadz/solusdt_enhanced_180}}
}

Acknowledgements

Data sourced from Binance exchange through their public API.

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