The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 2 new columns ({'0.29052734375', 'does'}) and 2 missing columns ({'roadsweeper', '0.49072265625'}).
This happened while the csv dataset builder was generating data using
hf://datasets/artificial-memory-lab/imageability-geometry-data/experiment-data/allminilm/cc12m/imageability_nsm_scores.csv (at revision 6dadbb8c74a874b6fce6d2b872916e4717c71f4d)
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, 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 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
does: string
0.29052734375: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 497
to
{'roadsweeper': Value(dtype='string', id=None), '0.49072265625': Value(dtype='float64', id=None)}
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 1433, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 989, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, 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 1873, 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 2 new columns ({'0.29052734375', 'does'}) and 2 missing columns ({'roadsweeper', '0.49072265625'}).
This happened while the csv dataset builder was generating data using
hf://datasets/artificial-memory-lab/imageability-geometry-data/experiment-data/allminilm/cc12m/imageability_nsm_scores.csv (at revision 6dadbb8c74a874b6fce6d2b872916e4717c71f4d)
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.
roadsweeper string | 0.49072265625 float64 |
|---|---|
traindriver | 0.600342 |
tush | 0.469727 |
hairdress | 0.665039 |
pharmaceutics | 0.755859 |
hoover | 0.439941 |
shopkeeping | 0.537354 |
pushiness | 0.316406 |
underdevelop | 0.338623 |
tirelessness | 0.64209 |
oldfashioned | 0.428467 |
wellmannered | 0.299316 |
dismissiveness | 0.395752 |
spitefulness | 0.416992 |
untruthfulness | 0.461426 |
dispiritedness | 0.345947 |
sled | 0.518799 |
plunger | 0.496582 |
human | 0.987305 |
waterbed | 0.631836 |
cymbal | 0.470947 |
ginger | 0.686279 |
bobsled | 0.448242 |
cardboard | 0.663574 |
olive | 0.850586 |
dogsled | 0.516602 |
rubber | 0.579834 |
soybean | 0.505615 |
tangerine | 0.455322 |
headrest | 0.568848 |
eucalyptus | 0.53418 |
saltwater | 0.643311 |
armrest | 0.624268 |
paramedic | 0.61377 |
liquid | 0.540771 |
billfold | 0.386475 |
canine | 0.602539 |
flowerbed | 0.637451 |
soy | 0.537109 |
bald | 0.627197 |
lilac | 0.587891 |
hemorrhoid | 0.523438 |
orange | 0.756836 |
arachnid | 0.779785 |
underarm | 0.722656 |
barefoot | 0.671387 |
bearded | 0.832764 |
thyroid | 0.442383 |
wooden | 0.603027 |
sleeveless | 0.788818 |
concrete | 0.724365 |
panty | 0.577881 |
pregnant | 0.73999 |
helmeted | 0.803955 |
hula | 0.420654 |
female | 0.525879 |
crematory | 0.507813 |
pigtailed | 0.754883 |
sphincter | 0.491943 |
backrest | 0.575439 |
blonde | 0.728027 |
farmhand | 0.625 |
fat | 0.623047 |
hairless | 0.608643 |
afghan | 0.56665 |
binocular | 0.593994 |
naked | 0.49292 |
hairy | 0.60498 |
saline | 0.638916 |
sudsy | 0.304443 |
wet | 0.556641 |
wooded | 0.645264 |
male | 0.493164 |
rusted | 0.55249 |
aquamarine | 0.568359 |
shirtless | 0.605957 |
headless | 0.513184 |
solid | 0.385254 |
beaded | 0.695068 |
blond | 0.686768 |
soapy | 0.822021 |
woodcutting | 0.66748 |
prosthetic | 0.535645 |
roast | 0.66333 |
tartar | 0.701172 |
newborn | 0.701416 |
feline | 0.563965 |
undercooked | 0.393311 |
vertebrate | 0.555176 |
bloodstained | 0.641602 |
flatbed | 0.593506 |
joint | 0.644043 |
preschool | 0.643311 |
beardless | 0.832764 |
indigo | 0.474609 |
frozen | 0.598389 |
barefooted | 0.666748 |
hashish | 0.422363 |
jeweled | 0.697754 |
mummified | 0.414795 |
paralegal | 0.552002 |
End of preview.