NextStep-1
Collection
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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'image_info' with no child field to Parquet. Consider adding a dummy child field.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1594, in _prepare_split_single
writer.write(example)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 599, in write
self.write_examples_on_file()
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 572, in write_examples_on_file
self.write_batch(batch_examples=batch_examples)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 662, in write_batch
self.write_table(pa_table, writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 673, in write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in _build_writer
self.pa_writer = pq.ParquetWriter(
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
self.writer = _parquet.ParquetWriter(
^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'image_info' with no child field to Parquet. Consider adding a dummy child field.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1608, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 685, in finalize
self.write_examples_on_file()
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 572, in write_examples_on_file
self.write_batch(batch_examples=batch_examples)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 662, in write_batch
self.write_table(pa_table, writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 673, in write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in _build_writer
self.pa_writer = pq.ParquetWriter(
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
self.writer = _parquet.ParquetWriter(
^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'image_info' with no child field to Parquet. Consider adding a dummy child field.
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 1342, 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 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1438, 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 1617, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
json dict | png image | __key__ string | __url__ string |
|---|---|---|---|
{
"caption": "a photo of a soap bar",
"image_info": {}
} | 59a9f308978d47f090903669a47189df | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a hair dryer",
"image_info": {}
} | 1429d1d7e3b34806b31bbeeb4e7a28fc | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a computer mouse and a sports ball",
"image_info": {}
} | c541aefcfefe454c853c46239bc3e259 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a soap bar and a lamp",
"image_info": {}
} | 788ca7b061464a3487f91c4a458b379f | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a computer keyboard and a bed",
"image_info": {}
} | e0fbcd7b38284fcb916184d0fbaef264 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a motorcycle and a fire hydrant",
"image_info": {}
} | 23c71bfc01ac4c919db461fe58195743 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a hair comb and a person",
"image_info": {}
} | 96b7ff6d5d304e34a8be62d157a7d4f4 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a broccoli and a refrigerator",
"image_info": {}
} | 6b9adbc7d46f40448e9c7d97c121ddb7 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a ruler and a battery",
"image_info": {}
} | 420cddbf9b50433cbb81625b8ac238ed | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a bicycle and a lotion bottle",
"image_info": {}
} | 72f7a94494254185938d8ac1fc17b3d7 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a wolf and a fire hydrant",
"image_info": {}
} | a2f739921cd94019a0b5f9f8d22f2df1 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a ruler and a chair",
"image_info": {}
} | 42d43151b5b54f10bf0dd33186787be4 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a stop sign and a tiger",
"image_info": {}
} | 7248ef9fec6f4a2388f14e61ec8bc0e7 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a cabinet and a sink",
"image_info": {}
} | ee12eda22cd141d5a887ce2871dbc0ee | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a stapler and a can opener",
"image_info": {}
} | 32fa74435dd147e3baa47c9eea71e105 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a parking meter and a ruler",
"image_info": {}
} | f84e5ade468847eba5cbbbdae0669199 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a snowboard and a scissors",
"image_info": {}
} | e6b29157c9b24134bcc74a46fff8e98b | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a frisbee and a nail clipper",
"image_info": {}
} | 49a8b57c9b564a52897b0132ab31a198 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a toilet brush and a zebra",
"image_info": {}
} | 19c0703357af43748468a488e15f3998 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a tablet and a spade",
"image_info": {}
} | 477ccb4f273e40bb93234c81506476bf | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of an adapter and a desktop computer",
"image_info": {}
} | 5513783f7e184ae18352e2e5702f478e | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a stapler and a bottle",
"image_info": {}
} | a1a0449b3b7f40ecb03004ad6203fbce | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a carrot and a hello kitty",
"image_info": {}
} | 541a6efc5ed54dfd91d9e5a586f7bceb | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a stop sign and a lotion bottle",
"image_info": {}
} | ab348b3e7f5e4bd6a4a44d463a6b5d24 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a hot dog and a hair dryer",
"image_info": {}
} | d67976ba25bb4576b52d36afac180b4e | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of an apple and a bowl",
"image_info": {}
} | 886b25e7a9a143f1901dbf079f281590 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a battery and an envelope",
"image_info": {}
} | 879ae1eee920476381ee5c79dcfb937b | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a tennis racket and a giraffe",
"image_info": {}
} | 734710a17a52425bb37c5cadd6c5d5be | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a parking meter and a printer",
"image_info": {}
} | 69437ca8eb704e349a54b89ca7b1c403 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a camera and a headphones",
"image_info": {}
} | 0774f07fb9dd43a2ba7adcec0e2aae1e | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a trash can and a wine glass",
"image_info": {}
} | 72cd56b83e064e1d8c06bb0998a9213b | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a sponge and a bicycle",
"image_info": {}
} | 855cef23283a48ec97bd75263770d95e | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a sheep and a frisbee",
"image_info": {}
} | e66afa51da4e4cb5bda55d7b1f4c6f88 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of an elephant and a microwave",
"image_info": {}
} | e794249e7b8e4eb78b72c08d5f967c06 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a microphone and a toaster",
"image_info": {}
} | a97c77a70b924849b5791944c7efd139 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a tiger and a potted plant",
"image_info": {}
} | 1eb11cd69cd943a0b893d357d18ce315 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a toothbrush and a handbag",
"image_info": {}
} | 51987eac409b45c58e74c0092ff81356 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a baseball bat and a backpack",
"image_info": {}
} | 3be6df025e464c0790fea141ddbab600 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a sports ball and a cabinet",
"image_info": {}
} | eb5025ead35b41ce83b464a4ccacbe25 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of an orange and a backpack",
"image_info": {}
} | 9141dc62a2d749978af869f86c6ee036 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a book and a lawn mower",
"image_info": {}
} | c05ea10ba50548bb8dc9ed44a802f02c | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a clock and a microwave",
"image_info": {}
} | 1f2f3dc6c1544d9eb5139086adc4fa16 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a boat and a ruler",
"image_info": {}
} | b238c90091ea41a3844106e3457e1ef0 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a wine glass and a razor",
"image_info": {}
} | 336b16e266654ad9a84123251ee1cc46 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a lawn mower and a clock",
"image_info": {}
} | 364cbf8fc11341c18268649ffa9595f3 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a bottle and a bus",
"image_info": {}
} | 7a4643a3e9f24c869b8e39def97b808f | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a wolf and a hello kitty",
"image_info": {}
} | d207e423cb0342539d75710d929b48a3 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a clock and a person",
"image_info": {}
} | 8090062f21e8450b998ce955a1341a1d | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a bear and a broccoli",
"image_info": {}
} | 634f40d36f3c4f71be55739bcf00a07a | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a microwave and a scissors",
"image_info": {}
} | c42bd42cab7d41a7b01c20df8e549a21 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a tie and a bicycle",
"image_info": {}
} | fd7ad1026f324869bae1b7c50203ff99 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a carpet and a banana",
"image_info": {}
} | 52571200776040fd842e7b136409287e | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a skateboard and a packing tape",
"image_info": {}
} | 0c487efb1cac4cd198f19268929e2b17 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a carpet and a backpack",
"image_info": {}
} | ecc0a1ac74c9497ca6b9c97a2400df0d | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a can opener and a tennis racket",
"image_info": {}
} | 5bc9f41fc3374866a5baaebb6d31fe52 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a razor and a curtain",
"image_info": {}
} | bb6e2b36bac743eca233aab723b3e336 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a printer and a pizza",
"image_info": {}
} | e9275549bb054f179d2bf704fa0e7ce4 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a skis and a toothpaste",
"image_info": {}
} | b80af827989c46a9833a6983d45c7bc0 | hf://datasets/stepfun-ai/NextStep-data@45fdf9435998f2743b42d359895e143f14b73d5f/BLIP3o-60k/geneval_train/shards-00000.tar | |
{
"caption": "a photo of a toilet and a curtain",
"image_info": {}
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