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Error code: DatasetGenerationError Exception: ArrowInvalid Message: Failed to parse string: 'Number of Test Takers Whose Total SAT Scores Are Greater or Equal to 1500' 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 2013, 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: 'Number of Test Takers Whose Total SAT Scores Are Greater or Equal to 1500' 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 1396, 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 1045, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, 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 1884, 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 2040, 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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original_column_name
string | column_name
null | column_description
string | data_format
string | value_description
null |
---|---|---|---|---|
CDSCode | null | CDSCode | integer | null |
Academic Year | null | Academic Year | integer | null |
County Code | null | County Code | integer | null |
District Code | null | District Code | integer | null |
School Code | null | School Code | integer | null |
County Name | null | County Code | text | null |
District Name | null | District Name | text | null |
School Name | null | School Name | text | null |
District Type | null | District Type | text | null |
School Type | null | School Type | text | null |
Educational Option Type | null | Educational Option Type | text | null |
NSLP Provision Status | null | NSLP Provision Status | text | null |
Charter School (Y/N) | null | Charter School (Y/N) | integer | null |
Charter School Number | null | Charter School Number | text | null |
Charter Funding Type | null | Charter Funding Type | text | null |
IRC | null | null | integer | null |
Low Grade | null | Low Grade | text | null |
High Grade | null | High Grade | text | null |
Enrollment (K-12) | null | Enrollment (K-12) | real | null |
Free Meal Count (K-12) | null | Free Meal Count (K-12) | real | null |
Percent (%) Eligible Free (K-12) | null | null | real | null |
FRPM Count (K-12) | null | Free or Reduced Price Meal Count (K-12) | real | null |
Percent (%) Eligible FRPM (K-12) | null | null | real | null |
Enrollment (Ages 5-17) | null | Enrollment (Ages 5-17) | real | null |
Free Meal Count (Ages 5-17) | null | Free Meal Count (Ages 5-17) | real | null |
Percent (%) Eligible Free (Ages 5-17) | null | null | real | null |
FRPM Count (Ages 5-17) | null | null | real | null |
Percent (%) Eligible FRPM (Ages 5-17) | null | null | real | null |
2013-14 CALPADS Fall 1 Certification Status | null | 2013-14 CALPADS Fall 1 Certification Status | integer | null |
cds | null | California Department Schools | text | null |
rtype | null | rtype | text | null |
sname | null | school name | text | null |
dname | null | district segment | text | null |
cname | null | county name | text | null |
enroll12 | null | enrollment (1st-12nd grade) | integer | null |
NumTstTakr | null | Number of Test Takers in this school | integer | null |
AvgScrRead | null | average scores in Reading | integer | null |
AvgScrMath | null | average scores in Math | integer | null |
AvgScrWrite | null | average scores in writing | integer | null |
NumGE1500 | null | Number of Test Takers Whose Total SAT Scores Are Greater or Equal to 1500 | integer | null |
CDSCode | null | CDSCode | text | null |
NCESDist | null | This field represents the 7-digit National Center for Educational Statistics (NCES) school district identification number. The first 2 digits identify the state and the last 5 digits identify the school district. Combined, they make a unique 7-digit ID for each school district. | text | null |
NCESSchool | null | This field represents the 5-digit NCES school identification number. The NCESSchool combined with the NCESDist form a unique 12-digit ID for each school. | text | null |
StatusType | null | This field identifies the status of the district. | text | null |
County | null | County name | text | null |
District | null | District | text | null |
School | null | School | text | null |
Street | null | Street | text | null |
StreetAbr | null | The abbreviated street address of the school, district, or administrative authority’s physical location. | text | null |
City | null | City | text | null |
Zip | null | Zip | text | null |
State | null | State | text | null |
MailStreet | null | MailStreet | text | null |
MailStrAbr | null | null | text | null |
MailCity | null | null | text | null |
MailZip | null | null | text | null |
MailState | null | null | text | null |
Phone | null | Phone | text | null |
Ext | null | The phone number extension of the school, district, or administrative authority. | text | null |
Website | null | The website address of the school, district, or administrative authority. | text | null |
OpenDate | null | The date the school opened. | date | null |
ClosedDate | null | The date the school closed. | date | null |
Charter | null | This field identifies a charter school. | integer | null |
CharterNum | null | The charter school number, | text | null |
FundingType | null | Indicates the charter school funding type | text | null |
DOC | null | District Ownership Code | text | null |
DOCType | null | The District Ownership Code Type is the text description of the DOC category. | text | null |
SOC | null | The School Ownership Code is a numeric code used to identify the type of school. | text | null |
SOCType | null | The School Ownership Code Type is the text description of the type of school. | text | null |
EdOpsCode | null | The Education Option Code is a short text description of the type of education offered. | text | null |
EdOpsName | null | Educational Option Name | text | null |
EILCode | null | The Educational Instruction Level Code is a short text description of the institution's type relative to the grade range served. | text | null |
EILName | null | The Educational Instruction Level Name is the long text description of the institution’s type relative to the grade range served. | text | null |
GSoffered | null | The grade span offered is the lowest grade and the highest grade offered or supported by the school, district, or administrative authority. This field might differ from the grade span served as reported in the most recent certified California Longitudinal Pupil Achievement (CALPADS) Fall 1 data collection. | text | null |
GSserved | null | It is the lowest grade and the highest grade of student enrollment as reported in the most recent certified CALPADS Fall 1 data collection. Only K–12 enrollment is reported through CALPADS. This field may differ from the grade span offered. | text | null |
Virtual | null | This field identifies the type of virtual instruction offered by the school. Virtual instruction is instruction in which students and teachers are separated by time and/or location, and interaction occurs via computers and/or telecommunications technologies. | text | null |
Magnet | null | This field identifies whether a school is a magnet school and/or provides a magnet program. | text | null |
Latitude | null | The angular distance (expressed in degrees) between the location of the school, district, or administrative authority and the equator measured north to south. | real | null |
Longitude | null | The angular distance (expressed in degrees) between the location of the school, district, or administrative authority and the prime meridian (Greenwich, England) measured from west to east. | real | null |
AdmFName1 | null | administrator's first name | text | null |
AdmLName1 | null | administrator's last name | text | null |
AdmEmail1 | null | administrator's email address | text | null |
AdmFName2 | null | null | text | null |
AdmLName2 | null | null | text | null |
AdmEmail2 | null | null | text | null |
AdmFName3 | null | null | text | null |
AdmLName3 | null | null | text | null |
AdmEmail3 | null | null | text | null |
LastUpdate | null | null | date | null |
id | null | null | integer | null |
artist | null | The name of the artist that illustrated the card art. | text | null |
asciiName | null | The ASCII(opens new window) (Basic/128) code formatted card name with no special unicode characters. | text | null |
availability | null | A list of the card's available printing types. | text | null |
borderColor | null | The color of the card border. | text | null |
cardKingdomFoilId | null | card Kingdom Foil Id | text | null |
cardKingdomId | null | card Kingdom Id | text | null |
colorIdentity | null | A list of all the colors found in manaCost, colorIndicator, and text | text | null |
colorIndicator | null | A list of all the colors in the color indicator (The symbol prefixed to a card's types). | text | null |
colors | null | A list of all the colors in manaCost and colorIndicator. | text | null |
convertedManaCost | null | The converted mana cost of the card. Use the manaValue property. | real | null |
End of preview.
link to original dataset: https://bird-bench.github.io/
Li, J., Hui, B., Qu, G., Yang, J., Li, B., Li, B., Wang, B., Qin, B., Geng, R., Huo, N. and Zhou, X., 2024. Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls. Advances in Neural Information Processing Systems, 36.
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