The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
symbol: string
sequence: list<element: double>
child 0, element: double
window_start: string
window_end: string
-- schema metadata --
huggingface: '{"info": {"features": {"symbol": {"dtype": "string", "_type' + 208
to
{'symbol': Value('string'), 'period': Value('string'), 'prompt': Value('string'), 'answer': Value('string'), 'label': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
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 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 220, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
symbol: string
sequence: list<element: double>
child 0, element: double
window_start: string
window_end: string
-- schema metadata --
huggingface: '{"info": {"features": {"symbol": {"dtype": "string", "_type' + 208
to
{'symbol': Value('string'), 'period': Value('string'), 'prompt': Value('string'), 'answer': Value('string'), 'label': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
FinGPT Forecaster DOW30 — Chain-of-Thought Dataset
Weekly stock price movement predictions for DOW-30 constituents, augmented with Chain-of-Thought (CoT) reasoning generated via GPT-4.
Built on top of the base dataset: FinGPT/fingpt-forecaster-dow30-202305-202405
Schema
| Field | Description |
|---|---|
symbol |
DOW-30 ticker (e.g. AXP, MSFT) |
period |
Forecast week, e.g. 2023-05-14 to 2023-05-21 |
prompt |
Full instruction prompt fed to the model |
answer |
CoT reasoning + structured final answer (assistantfinal marker separates them) |
label |
Ground-truth direction: up / down / stable |
Answer format
<CoT reasoning preamble>
assistantfinal
[Positive Developments]:
1. ...
[Potential Concerns]:
1. ...
[Prediction & Analysis]:
...
Citation
@misc{fingpt2023,
title={FinGPT: Open-Source Financial Large Language Models},
author={Yang, Hongyang and Liu, Xiao-Yang and Wang, Christina Dan},
year={2023},
url={https://github.com/AI4Finance-Foundation/FinGPT}
}
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