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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 6 new columns ({'mean_sentiment', 'Lsa_summary_sent', 'Lexrank_summary_sent', 'Luhn_summary_sent', 'Textrank_summary_sent', 'Article_title_sent'}) and 16 missing columns ({'luhn_mean', 'Close', 'textrank_mean', 'High', 'Low', 'Date', 'sentiment_sum', 'Open', 'Volume', 'article_count', 'lsa_mean', 'Adj Close', 'lexrank_mean', 'title_mean', 'Symbol', 'summary_mean'}).
This happened while the csv dataset builder was generating data using
zip://sentiment_analysis_distilbert.csv::/tmp/hf-datasets-cache/medium/datasets/77975274629191-config-parquet-and-info-mtv47-127hours_data-92fd00d7/hub/datasets--mtv47--127hours_data/snapshots/bcfd20de4b324103819fee30691a6875d7741336/127hours_data.zip
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Article_title_sent: double
Lsa_summary_sent: double
Luhn_summary_sent: double
Textrank_summary_sent: double
Lexrank_summary_sent: double
mean_sentiment: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1081
to
{'Symbol': Value('string'), 'Date': Value('string'), 'Adj Close': Value('float64'), 'Close': Value('float64'), 'High': Value('float64'), 'Low': Value('float64'), 'Open': Value('float64'), 'Volume': Value('float64'), 'lsa_mean': Value('float64'), 'luhn_mean': Value('float64'), 'textrank_mean': Value('float64'), 'lexrank_mean': Value('float64'), 'summary_mean': Value('float64'), 'title_mean': Value('float64'), 'sentiment_sum': Value('float64'), 'article_count': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1339, 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 972, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 6 new columns ({'mean_sentiment', 'Lsa_summary_sent', 'Lexrank_summary_sent', 'Luhn_summary_sent', 'Textrank_summary_sent', 'Article_title_sent'}) and 16 missing columns ({'luhn_mean', 'Close', 'textrank_mean', 'High', 'Low', 'Date', 'sentiment_sum', 'Open', 'Volume', 'article_count', 'lsa_mean', 'Adj Close', 'lexrank_mean', 'title_mean', 'Symbol', 'summary_mean'}).
This happened while the csv dataset builder was generating data using
zip://sentiment_analysis_distilbert.csv::/tmp/hf-datasets-cache/medium/datasets/77975274629191-config-parquet-and-info-mtv47-127hours_data-92fd00d7/hub/datasets--mtv47--127hours_data/snapshots/bcfd20de4b324103819fee30691a6875d7741336/127hours_data.zip
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)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.
Symbol string | Date string | Adj Close float64 | Close float64 | High float64 | Low float64 | Open float64 | Volume float64 | lsa_mean null | luhn_mean null | textrank_mean null | lexrank_mean null | summary_mean null | title_mean null | sentiment_sum null | article_count float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BSMR | 2019-09-26 | 22.140091 | 25.021999 | 25.021999 | 25.021999 | 25.021999 | 300 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-09-27 | 22.140091 | 25.021999 | 25.021999 | 25.021999 | 25.021999 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-09-30 | 22.140091 | 25.021999 | 25.021999 | 25.021999 | 25.021999 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-01 | 22.140091 | 25.021999 | 25.021999 | 25.021999 | 25.021999 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-02 | 22.200262 | 25.09 | 25.09 | 25.09 | 25.09 | 300 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-03 | 22.200262 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-04 | 22.200262 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-07 | 22.200262 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-08 | 22.200262 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-09 | 22.200262 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-10 | 22.200262 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-11 | 22.200262 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-14 | 22.200262 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-15 | 22.200262 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-16 | 22.200262 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-17 | 22.200262 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-18 | 22.200262 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-21 | 22.234823 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-22 | 22.234823 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-23 | 22.234823 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-24 | 22.234823 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-25 | 22.234823 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-28 | 22.234823 | 25.09 | 25.09 | 25.09 | 25.09 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-29 | 22.039854 | 24.870001 | 24.870001 | 24.858999 | 24.858999 | 1,100 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-30 | 22.039854 | 24.870001 | 24.870001 | 24.870001 | 24.870001 | 2,000 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-10-31 | 22.039854 | 24.870001 | 24.870001 | 24.870001 | 24.870001 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-01 | 22.039854 | 24.870001 | 24.870001 | 24.870001 | 24.870001 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-04 | 22.110754 | 24.950001 | 24.950001 | 24.940001 | 24.940001 | 500 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-05 | 22.039854 | 24.870001 | 24.870001 | 24.870001 | 24.870001 | 200 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-06 | 22.039854 | 24.870001 | 24.870001 | 24.870001 | 24.870001 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-07 | 22.039854 | 24.870001 | 24.870001 | 24.870001 | 24.870001 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-08 | 22.039854 | 24.870001 | 24.870001 | 24.870001 | 24.870001 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-11 | 22.039854 | 24.870001 | 24.870001 | 24.870001 | 24.870001 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-12 | 22.039854 | 24.870001 | 24.870001 | 24.870001 | 24.870001 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-13 | 22.004408 | 24.83 | 24.879999 | 24.82 | 24.82 | 27,900 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-14 | 22.037191 | 24.867001 | 24.867001 | 24.867001 | 24.867001 | 2,000 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-15 | 22.037191 | 24.867001 | 24.867001 | 24.867001 | 24.867001 | 100 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-18 | 22.045183 | 24.84 | 24.860001 | 24.84 | 24.860001 | 600 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-19 | 22.045183 | 24.84 | 24.860001 | 24.84 | 24.85 | 5,900 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-20 | 22.133938 | 24.940001 | 24.940001 | 24.91 | 24.93 | 6,100 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-21 | 22.133938 | 24.940001 | 24.940001 | 24.940001 | 24.940001 | 100 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-22 | 22.133938 | 24.940001 | 24.940001 | 24.940001 | 24.940001 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-25 | 22.133938 | 24.940001 | 24.940001 | 24.940001 | 24.940001 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-26 | 22.107309 | 24.91 | 24.91 | 24.9 | 24.9 | 2,900 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-27 | 22.107309 | 24.91 | 24.91 | 24.91 | 24.91 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-11-29 | 22.107309 | 24.91 | 24.91 | 24.91 | 24.91 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-02 | 22.107309 | 24.91 | 24.91 | 24.91 | 24.91 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-03 | 22.107309 | 24.91 | 24.91 | 24.91 | 24.91 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-04 | 22.107309 | 24.91 | 24.91 | 24.91 | 24.91 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-05 | 22.107309 | 24.91 | 24.91 | 24.91 | 24.91 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-06 | 22.102865 | 24.905001 | 24.93 | 24.905001 | 24.921 | 1,300 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-09 | 22.129488 | 24.934999 | 24.945999 | 24.934999 | 24.945999 | 100 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-10 | 22.133938 | 24.940001 | 24.940001 | 24.940001 | 24.940001 | 200 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-11 | 22.133938 | 24.940001 | 24.940001 | 24.940001 | 24.940001 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-12 | 22.133938 | 24.940001 | 24.959999 | 24.940001 | 24.959999 | 500 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-13 | 22.133938 | 24.940001 | 24.940001 | 24.940001 | 24.940001 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-16 | 22.133938 | 24.940001 | 24.940001 | 24.940001 | 24.940001 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-17 | 22.164991 | 24.975 | 25 | 24.975 | 24.989 | 10,000 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-18 | 22.164991 | 24.975 | 24.975 | 24.975 | 24.975 | 100 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-19 | 22.169428 | 24.98 | 24.98 | 24.976999 | 24.98 | 300 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-20 | 22.133938 | 24.940001 | 24.947001 | 24.940001 | 24.947001 | 800 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-23 | 22.165937 | 24.940001 | 24.940001 | 24.940001 | 24.940001 | 400 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-24 | 22.165937 | 24.940001 | 24.940001 | 24.940001 | 24.940001 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-26 | 22.157038 | 24.93 | 24.940001 | 24.93 | 24.940001 | 400 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-27 | 22.161484 | 24.934999 | 24.950001 | 24.934999 | 24.950001 | 1,100 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-30 | 22.174818 | 24.950001 | 24.950001 | 24.947001 | 24.947001 | 1,100 | null | null | null | null | null | null | null | 0 |
BSMR | 2019-12-31 | 22.174818 | 24.950001 | 24.950001 | 24.950001 | 24.950001 | 100 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-02 | 22.183706 | 24.959999 | 24.961 | 24.952999 | 24.961 | 4,200 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-03 | 22.183706 | 24.959999 | 24.959999 | 24.959999 | 24.959999 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-06 | 22.294798 | 25.084999 | 25.1 | 25.084999 | 25.09 | 1,500 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-07 | 22.294798 | 25.084999 | 25.084999 | 25.084999 | 25.084999 | 100 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-08 | 22.341913 | 25.138 | 25.15 | 25.138 | 25.15 | 9,200 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-09 | 22.348135 | 25.145 | 25.145 | 25.139999 | 25.139999 | 1,400 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-10 | 22.348135 | 25.145 | 25.145 | 25.145 | 25.145 | 200 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-13 | 22.348135 | 25.145 | 25.145 | 25.145 | 25.145 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-14 | 22.361458 | 25.16 | 25.18 | 25.16 | 25.16 | 4,300 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-15 | 22.361458 | 25.16 | 25.16 | 25.16 | 25.16 | 100 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-16 | 22.43701 | 25.245001 | 25.26 | 25.245001 | 25.26 | 1,000 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-17 | 22.468107 | 25.280001 | 25.280001 | 25.280001 | 25.280001 | 500 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-21 | 22.468102 | 25.243 | 25.243 | 25.243 | 25.243 | 200 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-22 | 22.456541 | 25.23 | 25.25 | 25.23 | 25.232 | 4,000 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-23 | 22.456541 | 25.23 | 25.23 | 25.23 | 25.23 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-24 | 22.456541 | 25.23 | 25.23 | 25.23 | 25.23 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-27 | 22.598949 | 25.389999 | 25.41 | 25.389999 | 25.41 | 2,000 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-28 | 22.598949 | 25.389999 | 25.389999 | 25.389999 | 25.389999 | 400 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-29 | 22.598949 | 25.389999 | 25.389999 | 25.389999 | 25.389999 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-30 | 22.643461 | 25.440001 | 25.452999 | 25.440001 | 25.452999 | 2,000 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-01-31 | 22.674606 | 25.475 | 25.48 | 25.459999 | 25.48 | 2,100 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-02-03 | 22.670164 | 25.469999 | 25.469999 | 25.440001 | 25.440001 | 200 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-02-04 | 22.616743 | 25.41 | 25.415001 | 25.41 | 25.415001 | 200 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-02-05 | 22.581152 | 25.370001 | 25.4 | 25.370001 | 25.389999 | 800 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-02-06 | 22.576698 | 25.365 | 25.365 | 25.365 | 25.365 | 900 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-02-07 | 22.576698 | 25.365 | 25.365 | 25.365 | 25.365 | 0 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-02-10 | 22.652353 | 25.450001 | 25.48 | 25.450001 | 25.469999 | 2,000 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-02-11 | 22.670164 | 25.469999 | 25.48 | 25.469999 | 25.48 | 2,200 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-02-12 | 22.661257 | 25.459999 | 25.459999 | 25.450001 | 25.450001 | 1,000 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-02-13 | 22.661257 | 25.459999 | 25.459999 | 25.459999 | 25.459999 | 100 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-02-14 | 22.661257 | 25.459999 | 25.459999 | 25.459999 | 25.459999 | 100 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-02-18 | 22.705759 | 25.51 | 25.540001 | 25.51 | 25.530001 | 3,200 | null | null | null | null | null | null | null | 0 |
BSMR | 2020-02-19 | 22.723558 | 25.530001 | 25.549999 | 25.530001 | 25.549999 | 12,200 | null | null | null | null | null | null | null | 0 |
End of preview.
The file nasdaq_external_data.csv was obtained from the dataset available at Hugging Face. The folders ETFs and Stocks, along with the files symbols_sectores.csv and symbols_valid_meta.csv, were generated using the yfinance library to retrieve data from Yahoo Finance. The sentiment files were created by us.
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