Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: HfHubHTTPError
Message: 404 Client Error: Not Found for url: https://hf-hub-lfs-us-east-1.s3.us-east-1.amazonaws.com/repos/74/f9/74f9ec60f2f846935748017439ccaeb424c6a939e99a09ea1e993d1eb9d240b0/d3b134243a455a429f36b78398eb6e4dee70b203b05702e6d459be837dd9eb45?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA2JU7TKAQLC2QXPN7%2F20250624%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250624T232253Z&X-Amz-Expires=3600&X-Amz-Signature=2fe614740f73390f06a80f37d9cf2d6a72d1cf5044d7463936dfa22ade57eb88&X-Amz-SignedHeaders=host&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27000001.XSHE.csv%3B%20filename%3D%22000001.XSHE.csv%22%3B&response-content-type=text%2Fcsv&x-id=GetObject
<?xml version="1.0" encoding="UTF-8"?>
<Error><Code>NoSuchKey</Code><Message>The specified key does not exist.</Message><Key>repos/74/f9/74f9ec60f2f846935748017439ccaeb424c6a939e99a09ea1e993d1eb9d240b0/d3b134243a455a429f36b78398eb6e4dee70b203b05702e6d459be837dd9eb45</Key><RequestId>RB65G9H55ZAB29FJ</RequestId><HostId>eMJj6Kdgh/GoBHtABCEoCkOoxzoQ9oEY+jTrdGw7RNaabJmjD4d13ypTIYou6ej/2DsMc39cOq0/S/gzNFz5F7yX4TWo3gsO</HostId></Error>
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 409, in hf_raise_for_status
response.raise_for_status()
File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/models.py", line 1024, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://hf-hub-lfs-us-east-1.s3.us-east-1.amazonaws.com/repos/74/f9/74f9ec60f2f846935748017439ccaeb424c6a939e99a09ea1e993d1eb9d240b0/d3b134243a455a429f36b78398eb6e4dee70b203b05702e6d459be837dd9eb45?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA2JU7TKAQLC2QXPN7%2F20250624%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250624T232253Z&X-Amz-Expires=3600&X-Amz-Signature=2fe614740f73390f06a80f37d9cf2d6a72d1cf5044d7463936dfa22ade57eb88&X-Amz-SignedHeaders=host&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27000001.XSHE.csv%3B%20filename%3D%22000001.XSHE.csv%22%3B&response-content-type=text%2Fcsv&x-id=GetObject
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3357, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2111, in _head
return next(iter(self.iter(batch_size=n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2315, in iter
for key, example in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
for key, pa_table in self._iter_arrow():
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1878, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 476, in _iter_arrow
for key, pa_table in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 323, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/csv/csv.py", line 188, in _generate_tables
csv_file_reader = pd.read_csv(file, iterator=True, dtype=dtype, **self.config.pd_read_csv_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/streaming.py", line 75, in wrapper
return function(*args, download_config=download_config, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1213, in xpandas_read_csv
return pd.read_csv(xopen(filepath_or_buffer, "rb", download_config=download_config), **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1026, in read_csv
return _read(filepath_or_buffer, kwds)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 620, in _read
parser = TextFileReader(filepath_or_buffer, **kwds)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1620, in __init__
self._engine = self._make_engine(f, self.engine)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1898, in _make_engine
return mapping[engine](f, **self.options)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 93, in __init__
self._reader = parsers.TextReader(src, **kwds)
File "parsers.pyx", line 574, in pandas._libs.parsers.TextReader.__cinit__
File "parsers.pyx", line 663, in pandas._libs.parsers.TextReader._get_header
File "parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
File "parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
File "parsers.pyx", line 2053, in pandas._libs.parsers.raise_parser_error
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 827, in read_with_retries
out = read(*args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 1013, in read
return super().read(length)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1846, in read
out = self.cache._fetch(self.loc, self.loc + length)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/caching.py", line 189, in _fetch
self.cache = self.fetcher(start, end) # new block replaces old
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 976, in _fetch_range
hf_raise_for_status(r)
File "/src/services/worker/.venv/lib/python3.9/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: 404 Client Error: Not Found for url: https://hf-hub-lfs-us-east-1.s3.us-east-1.amazonaws.com/repos/74/f9/74f9ec60f2f846935748017439ccaeb424c6a939e99a09ea1e993d1eb9d240b0/d3b134243a455a429f36b78398eb6e4dee70b203b05702e6d459be837dd9eb45?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA2JU7TKAQLC2QXPN7%2F20250624%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250624T232253Z&X-Amz-Expires=3600&X-Amz-Signature=2fe614740f73390f06a80f37d9cf2d6a72d1cf5044d7463936dfa22ade57eb88&X-Amz-SignedHeaders=host&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27000001.XSHE.csv%3B%20filename%3D%22000001.XSHE.csv%22%3B&response-content-type=text%2Fcsv&x-id=GetObject
<?xml version="1.0" encoding="UTF-8"?>
<Error><Code>NoSuchKey</Code><Message>The specified key does not exist.</Message><Key>repos/74/f9/74f9ec60f2f846935748017439ccaeb424c6a939e99a09ea1e993d1eb9d240b0/d3b134243a455a429f36b78398eb6e4dee70b203b05702e6d459be837dd9eb45</Key><RequestId>RB65G9H55ZAB29FJ</RequestId><HostId>eMJj6Kdgh/GoBHtABCEoCkOoxzoQ9oEY+jTrdGw7RNaabJmjD4d13ypTIYou6ej/2DsMc39cOq0/S/gzNFz5F7yX4TWo3gsO</HostId></Error>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.
A-Share Minute-Level Historical Data
Dataset Description
This dataset contains minute-level trading data for Chinese A-share stocks from 2005 to 2023, covering 5267 stocks with complete historical trading records.
Data Format
Each CSV file corresponds to one stock and contains the following fields:
| Field | Description |
|---|---|
| open | Opening price |
| close | Closing price |
| high | Highest price |
| low | Lowest price |
| volume | Trading volume |
| money | Trading amount |
| avg | Average price |
| high_limit | Upper limit price |
| low_limit | Lower limit price |
| pre_close | Previous closing price |
| paused | Trading halt flag |
| factor | Adjustment factor |
Data Characteristics
- Time Range: 2005-2023
- Data Frequency: Minute-level
- Number of Stocks: 5267 A-share stocks
- Data Completeness: Includes trading halt and adjustment factor information
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