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Error code: StreamingRowsError Exception: CastError Message: Couldn't cast filename: string image_hash: uint64 width: int64 height: int64 luminance: double image: list<element: uint8> child 0, element: uint8 -- schema metadata -- pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 759 to {'filename': Value(dtype='string', id=None), 'image': Image(mode=None, decode=True, id=None)} because column names don't match Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 323, in compute compute_first_rows_from_parquet_response( File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 88, in compute_first_rows_from_parquet_response rows_index = indexer.get_rows_index( File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 631, in get_rows_index return RowsIndex( File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 512, in __init__ self.parquet_index = self._init_parquet_index( File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 529, in _init_parquet_index response = get_previous_step_or_raise( File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 566, in get_previous_step_or_raise raise CachedArtifactError( libcommon.simple_cache.CachedArtifactError: The previous step failed. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/utils.py", line 92, in get_rows_or_raise return get_rows( File "/src/libs/libcommon/src/libcommon/utils.py", line 183, in decorator return func(*args, **kwargs) File "/src/services/worker/src/worker/utils.py", line 69, in get_rows rows_plus_one = list(itertools.islice(ds, rows_max_number + 1)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__ for key, pa_table in self.generate_tables_fn(**self.kwargs): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 97, in _generate_tables yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 75, in _cast_table pa_table = table_cast(pa_table, self.info.features.arrow_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 2256, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast filename: string image_hash: uint64 width: int64 height: int64 luminance: double image: list<element: uint8> child 0, element: uint8 -- schema metadata -- pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 759 to {'filename': Value(dtype='string', id=None), 'image': Image(mode=None, decode=True, id=None)} because column names don't match
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Not a Hot-dog
(The name of this dataset is a reference to the show Silicon Valley.)
Dataset Details
Dataset Description
This dataset is a small collection of user-submitted images that contain objects that are not hot dogs, but might be perceptibly shaped like one.
- Curated by: Public users
- Language(s) (NLP): None (no captions included)
- License: MIT
Dataset Sources
The images provided were submitted by random internet users on Reddit.
Uses
This dataset may be used to train safety checking neural networks, or low-rank adaptation networks that might be useful for a funny joke or two.
Direct Use
This dataset does not have any captions or phrases supplied with it.
The image
column contains a byte string of the JPEG data as read from storage.
Out-of-Scope Use
This data should not be used to generate offensive content.
Dataset Structure
Fields:
- filename (str)
- image hash (str)
- width (int)
- height (int)
- image (bytes, JPEG)
Dataset Creation
Curation Rationale
A LoRA exists that seems to use a similar dataset, but the dataset was not provided or available at any point in time. This dataset is an attempt to reproduce the same results.
Source Data
- User-submitted photographs
Personal and Sensitive Information
Some images may contain faces or identities of individuals. By using this dataset, you agree not to attempt to discover the identity of these people.
Bias, Risks, and Limitations
This dataset's bias is that of its users', as all images were hand-selected for inclusion.
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