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The dataset generation failed
Error code: DatasetGenerationError Exception: ArrowInvalid Message: Failed to parse string: 'مواطن عربي' as a scalar of type double Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table pa_table = table_cast(pa_table, self._schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in cast_table_to_schema arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()] File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp> arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()] File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in wrapper return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks]) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in <listcomp> return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks]) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2116, in cast_array_to_feature return array_cast( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1804, in wrapper return func(array, *args, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1963, in array_cast return array.cast(pa_type) File "pyarrow/array.pxi", line 996, in pyarrow.lib.Array.cast File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/compute.py", line 404, in cast return call_function("cast", [arr], options, memory_pool) File "pyarrow/_compute.pyx", line 590, in pyarrow._compute.call_function File "pyarrow/_compute.pyx", line 385, in pyarrow._compute.Function.call File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status pyarrow.lib.ArrowInvalid: Failed to parse string: 'مواطن عربي' as a scalar of type double 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 1529, 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 1154, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, in _prepare_split_single raise DatasetGenerationError("An error occurred while generating the dataset") from e datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset
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id
float64 |
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507,051,889,402,597,400 |
507,052,032,004,718,600 |
478,937,914,303,606,800 |
478,938,014,945,902,600 |
478,938,052,694,671,360 |
478,938,098,861,355,000 |
478,938,111,419,121,660 |
479,154,042,586,009,600 |
479,154,113,897,586,700 |
479,154,139,063,398,400 |
479,154,151,625,330,700 |
479,154,155,840,614,400 |
479,154,185,192,374,300 |
479,154,193,580,965,900 |
515,492,531,958,992,900 |
515,492,561,302,327,300 |
515,492,569,707,720,700 |
515,492,653,581,205,500 |
515,492,678,742,843,400 |
515,492,691,334,135,800 |
605,442,975,758,471,200 |
605,442,984,151,162,900 |
605,443,047,049,052,200 |
605,443,114,170,466,300 |
605,443,139,306,811,400 |
515,459,103,326,748,700 |
515,459,107,529,048,060 |
515,459,191,444,885,500 |
515,459,191,407,128,600 |
515,459,233,366,958,100 |
515,459,258,541,150,200 |
479,053,379,310,993,400 |
479,053,442,187,816,960 |
479,053,509,313,458,200 |
479,053,597,414,412,300 |
479,148,036,359,483,400 |
479,148,057,309,638,660 |
479,148,153,774,800,900 |
479,148,162,163,425,300 |
479,235,613,393,420,300 |
479,235,663,746,064,400 |
479,235,672,113,700,860 |
479,235,714,056,749,060 |
479,235,739,226,742,800 |
479,235,797,971,779,600 |
479,235,802,137,108,500 |
608,352,363,120,881,700 |
608,352,459,577,245,700 |
608,352,463,750,623,200 |
608,352,543,446,548,500 |
608,352,547,657,646,100 |
608,352,610,572,202,000 |
478,796,964,696,703,000 |
478,797,027,644,428,300 |
478,797,048,578,605,060 |
478,797,069,558,489,100 |
478,583,315,243,761,660 |
478,583,327,826,645,000 |
478,583,340,409,180,160 |
478,583,386,576,273,400 |
478,583,411,704,344,600 |
478,583,436,882,755,600 |
478,583,445,258,768,400 |
608,414,275,246,407,700 |
608,414,279,419,732,000 |
608,414,367,508,525,000 |
608,414,447,191,904,300 |
608,414,455,580,491,800 |
608,414,493,325,041,700 |
608,414,518,490,837,000 |
512,264,582,988,328,960 |
512,264,603,989,192,700 |
512,264,641,741,717,500 |
605,547,304,876,163,100 |
605,547,271,296,569,300 |
478,487,156,651,229,200 |
478,487,194,383,171,600 |
478,487,194,370,596,860 |
478,487,236,350,980,100 |
478,487,257,297,723,400 |
478,487,290,860,171,260 |
507,028,313,236,570,100 |
507,028,313,240,772,600 |
507,028,342,575,333,400 |
512,250,389,492,547,600 |
512,250,397,873,160,200 |
512,250,410,460,270,600 |
512,250,418,853,068,800 |
512,250,473,362,255,900 |
512,250,502,730,752,000 |
512,250,506,920,869,900 |
512,250,548,859,330,560 |
512,250,620,162,887,700 |
515,237,165,929,099,260 |
515,237,249,810,956,300 |
515,237,291,783,364,600 |
478,481,985,057,603,600 |
478,481,985,069,776,900 |
478,482,006,054,305,800 |
478,482,077,340,663,800 |
End of preview.
Egyptian Tweets Corpus: The corpus contains more than 34.33 million tweets in Egyptian dialect
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