Datasets:
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
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.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.
SOLUSDT 180 Days (TsFile 格式)
原数据集链接：https://huggingface.co/datasets/roadz/solusdt_enhanced_180
本数据集由 HuggingFace 数据集 roadz/solusdt_enhanced_180 转换为 TsFile 格式，数据内容与原数据集完全一致。
- 原始数据集：roadz/solusdt_enhanced_180
- 原作者：roadz (HuggingFace)
- 许可证：apache-2.0
转换说明
- 原数据集是单个 CSV（
data_SOLUSDT_180d.csv），单一交易对 SOL/USDT，转换后输出一个 TsFile（train.tsfile），不合并、不拆分。 - 不设 TAG：整个文件就是一个交易对，
open_time全局唯一且严格单调递增（间隔恒为 60000ms = 1 分钟），没有天然的 device 维度，所有列均为 FIELD。 - 原始
open_time列本身就是 epoch 毫秒整数，直接用作 TsFile 的 Time 列（INT64，毫秒精度），时间信息完整保留。 - 其余 9 列全部以 DOUBLE 保留（含
number_of_trades，虽为整数值但原 dtype 为 float）。 - 不丢弃任何列、任何行（259200 行全部保留）。
SOLUSDT Raw Dataset
以下为原数据集介绍，内容保持一致。
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 |
在 TsFile 中，
open_time作为 Time 列（INT64 毫秒），其余 9 列作为 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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