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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    HfHubHTTPError
Message:      404 Client Error: Not Found for url: https://cas-bridge-direct.xethub.hf.co/xet-bridge-us/698de6c155455448339a041a/624fd267127c1003131ea47c1245268947992203a4b11b5a8b17b2d2f5f62cb3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=cas%2F20260212%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20260212T192612Z&X-Amz-Expires=3600&X-Amz-Signature=cc27a6c79c3494eecda7dad12c8d41db9b41b5269a6ee6eb308c3935fa01720a&X-Amz-SignedHeaders=host&X-Xet-Cas-Uid=app%3A6241c288797aadd4ac9dd1a9&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27val_2021_H1_candlestick.png%3B%20filename%3D%22val_2021_H1_candlestick.png%22%3B&response-content-type=image%2Fpng&x-id=GetObject

request_id: 01KH9N2WSRGG5HXHF5FM551101; (1) not found
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 409, in hf_raise_for_status
                  response.raise_for_status()
                File "/usr/local/lib/python3.12/site-packages/requests/models.py", line 1026, in raise_for_status
                  raise HTTPError(http_error_msg, response=self)
              requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://cas-bridge-direct.xethub.hf.co/xet-bridge-us/698de6c155455448339a041a/624fd267127c1003131ea47c1245268947992203a4b11b5a8b17b2d2f5f62cb3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=cas%2F20260212%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20260212T192612Z&X-Amz-Expires=3600&X-Amz-Signature=cc27a6c79c3494eecda7dad12c8d41db9b41b5269a6ee6eb308c3935fa01720a&X-Amz-SignedHeaders=host&X-Xet-Cas-Uid=app%3A6241c288797aadd4ac9dd1a9&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27val_2021_H1_candlestick.png%3B%20filename%3D%22val_2021_H1_candlestick.png%22%3B&response-content-type=image%2Fpng&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/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2543, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2061, in __iter__
                  batch = formatter.format_batch(pa_table)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/formatting/formatting.py", line 472, in format_batch
                  batch = self.python_features_decoder.decode_batch(batch)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/formatting/formatting.py", line 234, in decode_batch
                  return self.features.decode_batch(batch, token_per_repo_id=self.token_per_repo_id) if self.features else batch
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2161, in decode_batch
                  decode_nested_example(self[column_name], value, token_per_repo_id=token_per_repo_id)
                File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1419, in decode_nested_example
                  return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/image.py", line 189, in decode_example
                  bytes_ = BytesIO(f.read())
                                   ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 844, in read_with_retries
                  out = read(*args, **kwargs)
                        ^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 1012, in read
                  out = f.read()
                        ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 1078, in read
                  hf_raise_for_status(self.response)
                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: 404 Client Error: Not Found for url: https://cas-bridge-direct.xethub.hf.co/xet-bridge-us/698de6c155455448339a041a/624fd267127c1003131ea47c1245268947992203a4b11b5a8b17b2d2f5f62cb3?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=cas%2F20260212%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20260212T192612Z&X-Amz-Expires=3600&X-Amz-Signature=cc27a6c79c3494eecda7dad12c8d41db9b41b5269a6ee6eb308c3935fa01720a&X-Amz-SignedHeaders=host&X-Xet-Cas-Uid=app%3A6241c288797aadd4ac9dd1a9&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%27val_2021_H1_candlestick.png%3B%20filename%3D%22val_2021_H1_candlestick.png%22%3B&response-content-type=image%2Fpng&x-id=GetObject
              
              request_id: 01KH9N2WSRGG5HXHF5FM551101; (1) not found

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The sp500stock_data_description.csv file provides detailed information on the existence of four modalities (text, image, time series, and table) for 4,213 S&P 500 stocks.

The hs300stock_data_description.csv file provides detailed information on the existence of four modalities (text, image, time series, and table) for 858 HS 300 stocks.


If you find our research helpful, please cite our paper:

@article{xu2025finmultitime,
  title={FinMultiTime: A Four-Modal Bilingual Dataset for Financial Time-Series Analysis},
  author={Xu, Wenyan and Xiang, Dawei and Liu, Yue and Wang, Xiyu and Ma, Yanxiang and Zhang, Liang and Xu, Chang and Zhang, Jiaheng},
  journal={arXiv preprint arXiv:2506.05019},
  year={2025}
}
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