Datasets:
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The dataset generation failed
Error code: DatasetGenerationError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/csv/csv.py", line 196, in _generate_tables
csv_file_reader = pd.read_csv(file, iterator=True, dtype=dtype, **self.config.pd_read_csv_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/streaming.py", line 73, in wrapper
return function(*args, download_config=download_config, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1250, in xpandas_read_csv
return pd.read_csv(xopen(filepath_or_buffer, "rb", download_config=download_config), **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1026, in read_csv
return _read(filepath_or_buffer, kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 620, in _read
parser = TextFileReader(filepath_or_buffer, **kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1620, in __init__
self._engine = self._make_engine(f, self.engine)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1898, in _make_engine
return mapping[engine](f, **self.options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 93, in __init__
self._reader = parsers.TextReader(src, **kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pandas/_libs/parsers.pyx", line 574, in pandas._libs.parsers.TextReader.__cinit__
File "pandas/_libs/parsers.pyx", line 663, in pandas._libs.parsers.TextReader._get_header
File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
File "pandas/_libs/parsers.pyx", line 2053, in pandas._libs.parsers.raise_parser_error
File "<frozen codecs>", line 322, in decode
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
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/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1922, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
filename string | label int64 | return_val float64 |
|---|---|---|
0/img_10.jpg | 0 | 28.526646 |
0/img_10023.jpg | 0 | 9.72973 |
0/img_10053.jpg | 2 | 0 |
0/img_10056.jpg | 0 | 0.512821 |
0/img_10057.jpg | 0 | 1.030928 |
0/img_10058.jpg | 0 | 3.875969 |
0/img_10060.jpg | 0 | 3.108808 |
0/img_10105.jpg | 0 | 1.09589 |
0/img_10109.jpg | 1 | -3.191489 |
0/img_10139.jpg | 0 | 2.96496 |
0/img_10154.jpg | 1 | -1.04712 |
0/img_10157.jpg | 1 | -0.261097 |
0/img_10167.jpg | 0 | 0.526316 |
0/img_10186.jpg | 1 | -2.894737 |
0/img_102.jpg | 1 | -5.014749 |
0/img_10205.jpg | 1 | -5.785124 |
0/img_10220.jpg | 0 | 3.80117 |
0/img_10234.jpg | 2 | 0 |
0/img_10237.jpg | 1 | -1.416431 |
0/img_10245.jpg | 1 | -3.133903 |
0/img_10246.jpg | 1 | -1.440922 |
0/img_10252.jpg | 2 | 0 |
0/img_10258.jpg | 0 | 2.616279 |
0/img_10268.jpg | 0 | 2.556818 |
0/img_10272.jpg | 0 | 6.515581 |
0/img_10273.jpg | 0 | 6.798867 |
0/img_10303.jpg | 0 | 0.550964 |
0/img_10324.jpg | 0 | 0.817439 |
0/img_1033.jpg | 0 | 2.464789 |
0/img_10331.jpg | 2 | 0 |
0/img_10338.jpg | 1 | -1.355014 |
0/img_10342.jpg | 1 | -1.358696 |
0/img_10350.jpg | 1 | -3.846154 |
0/img_10359.jpg | 1 | -3.3241 |
0/img_10360.jpg | 1 | -2.521008 |
0/img_10384.jpg | 1 | -3.458213 |
0/img_10403.jpg | 0 | 0.291545 |
0/img_10434.jpg | 1 | -3.746398 |
0/img_10451.jpg | 0 | 1.823708 |
0/img_10459.jpg | 1 | -2.654867 |
0/img_1046.jpg | 1 | -3.412969 |
0/img_10479.jpg | 1 | -1.230769 |
0/img_1048.jpg | 1 | -5.154639 |
0/img_10485.jpg | 1 | -3.333333 |
0/img_10486.jpg | 1 | -3.363914 |
0/img_10498.jpg | 0 | 0.3125 |
0/img_10522.jpg | 1 | -4.984424 |
0/img_10527.jpg | 1 | -4.716981 |
0/img_10529.jpg | 1 | -3.785489 |
0/img_10559.jpg | 1 | -9.324759 |
0/img_10560.jpg | 1 | -10.289389 |
0/img_10570.jpg | 1 | -16.118421 |
0/img_10575.jpg | 1 | -6.810036 |
0/img_10607.jpg | 0 | 4.489796 |
0/img_10613.jpg | 0 | 0.390625 |
0/img_10617.jpg | 0 | 1.158301 |
0/img_10638.jpg | 0 | 0.3861 |
0/img_10647.jpg | 1 | -0.381679 |
0/img_10653.jpg | 0 | 1.153846 |
0/img_10655.jpg | 0 | 1.162791 |
0/img_10690.jpg | 2 | 0 |
0/img_10703.jpg | 1 | -1.976285 |
0/img_10722.jpg | 0 | 0.401606 |
0/img_10727.jpg | 1 | -2.788845 |
0/img_10729.jpg | 1 | -3.174603 |
0/img_10733.jpg | 1 | -0.398406 |
0/img_10744.jpg | 2 | 0 |
0/img_1076.jpg | 1 | -1.083032 |
0/img_10761.jpg | 0 | 7.786885 |
0/img_10773.jpg | 0 | 11.382114 |
0/img_10778.jpg | 0 | 0.359712 |
0/img_1078.jpg | 1 | -0.363636 |
0/img_10794.jpg | 1 | -0.35461 |
0/img_10800.jpg | 0 | 0.716846 |
0/img_10824.jpg | 0 | 2.739726 |
0/img_10852.jpg | 1 | -5.351171 |
0/img_10861.jpg | 1 | -3.496503 |
0/img_10865.jpg | 1 | -1.77305 |
0/img_10866.jpg | 1 | -2.12766 |
0/img_10867.jpg | 1 | -1.060071 |
0/img_10868.jpg | 2 | 0 |
0/img_10879.jpg | 0 | 0.361011 |
0/img_10906.jpg | 0 | 1.465201 |
0/img_10938.jpg | 1 | -6.227106 |
0/img_10959.jpg | 1 | -1.953125 |
0/img_10973.jpg | 0 | 0.4 |
0/img_1101.jpg | 0 | 1.094891 |
0/img_11012.jpg | 0 | 5.204461 |
0/img_11018.jpg | 1 | -4.912281 |
0/img_11022.jpg | 1 | -2.836879 |
0/img_11034.jpg | 1 | -2.573529 |
0/img_11046.jpg | 0 | 3.745318 |
0/img_11055.jpg | 0 | 6.463878 |
0/img_1106.jpg | 0 | 1.090909 |
0/img_11075.jpg | 0 | 1.444043 |
0/img_11085.jpg | 1 | -0.359712 |
0/img_1109.jpg | 0 | 3.284672 |
0/img_11099.jpg | 0 | 5.395683 |
0/img_11108.jpg | 1 | -2.083333 |
0/img_1111.jpg | 0 | 4.044118 |
End of preview.
Candlestick Chaos Dataset
This dataset contains ultra_chaos.zip, likely related to candlestick data for financial analysis or machine learning experiments.
Usage
To use this dataset, you would typically download the ultra_chaos.zip file and extract its contents. Here's a basic example of how you might download and load it in Python (assuming it contains CSVs after extraction):
from huggingface_hub import hf_hub_download
import zipfile
import pandas as pd
# Download the dataset file
file_path = hf_hub_download(repo_id='sujinwo/candlestick-chaos', filename='ultra_chaos.zip', repo_type='dataset')
print(f"Downloaded: {file_path}")
# Unzip the file
with zipfile.ZipFile(file_path, 'r') as zip_ref:
zip_ref.extractall('./data')
print("Dataset unzipped to ./data/")
# Example: If the zip contains a CSV named 'data.csv'
# df = pd.read_csv('./data/data.csv')
# print(df.head())
Disclaimer
This dataset is provided as-is. Users are responsible for understanding and complying with any licensing or usage terms associated with the original data sources.
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Purpose
: This dataset is intended for [e.g., training machine learning models, research on financial market patterns, etc.].
Content
file is expected to contain raw or preprocessed data related to candlestick patterns. Users should unzip it to explore its contents.
Data Format
: [Specify the expected data format inside the zip, e.g., CSV, JSON, Parquet, if known. Otherwise, state 'Unknown, requires extraction.']