Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
auth: struct<hf_token_env: string>
child 0, hf_token_env: string
batch: struct<direct_download_chunk: int64, direct_plan_scan_chunk: int64, direct_plan_tail_probe: int64, m (... 51 chars omitted)
child 0, direct_download_chunk: int64
child 1, direct_plan_scan_chunk: int64
child 2, direct_plan_tail_probe: int64
child 3, minimum_archive_images: int64
child 4, target_images: int64
dca: struct<adapter: string, archive_extension: string, archive_ratio_gate_min_staged_bytes: int64, av1_c (... 1239 chars omitted)
child 0, adapter: string
child 1, archive_extension: string
child 2, archive_ratio_gate_min_staged_bytes: int64
child 3, av1_chroma: string
child 4, av1_cpu_fast_mode: bool
child 5, av1_crf: int64
child 6, av1_decode_cache_mib: int64
child 7, av1_exact_residual: bool
child 8, av1_fast_accept_ratio: double
child 9, av1_group_size: int64
child 10, av1_group_timeout_seconds: int64
child 11, av1_max_archive_mib: int64
child 12, av1_max_scale: double
child 13, av1_min_group: int64
child 14, av1_min_savings: double
child 15, av1_prefetch: int64
child 16, av1_preset: int64
child 17, av1_residual_zstd_level: int64
child 18, av1_size_guard_min_seconds: int64
child 19, av1_threads: int64
child 20, av1_time_budget_seconds: int64
child 21, av1_workers: int64
child 22, candidate_workers: int64
child 23, command: list<item: string>
child 0, item: string
child 24, compressor: string
child 25, default_size: int64
child
...
ld 1, minimum_free_gib: int64
stop_file_retained: string
status: string
pipeline_state: struct<bytes: int64, path: string, quick_check: string, sha256: string>
child 0, bytes: int64
child 1, path: string
child 2, quick_check: string
child 3, sha256: string
elapsed_seconds: double
finalized_archives: list<item: struct<archive_index: int64, images: int64, status: string>>
child 0, item: struct<archive_index: int64, images: int64, status: string>
child 0, archive_index: int64
child 1, images: int64
child 2, status: string
format: string
canonical: struct<bytes: int64, path: string, quick_check: string, remote_path: string, repo_id: string, sha256 (... 9 chars omitted)
child 0, bytes: int64
child 1, path: string
child 2, quick_check: string
child 3, remote_path: string
child 4, repo_id: string
child 5, sha256: string
packaged_images: int64
producer: string
root_manifest_complete: bool
completed_at: timestamp[s]
collection_closed: bool
incremental_state: struct<bytes: int64, path: string, quick_check: string, sha256: string>
child 0, bytes: int64
child 1, path: string
child 2, quick_check: string
child 3, sha256: string
uploaded_shards: list<item: struct<dicas: int64, remote_path: string, rows: int64, shard_index: int64>>
child 0, item: struct<dicas: int64, remote_path: string, rows: int64, shard_index: int64>
child 0, dicas: int64
child 1, remote_path: string
child 2, rows: int64
child 3, shard_index: int64
to
{'canonical': {'bytes': Value('int64'), 'path': Value('string'), 'quick_check': Value('string'), 'remote_path': Value('string'), 'repo_id': Value('string'), 'sha256': Value('string')}, 'collection_closed': Value('bool'), 'completed_at': Value('timestamp[s]'), 'elapsed_seconds': Value('float64'), 'finalized_archives': List({'archive_index': Value('int64'), 'images': Value('int64'), 'status': Value('string')}), 'format': Value('string'), 'incremental_state': {'bytes': Value('int64'), 'path': Value('string'), 'quick_check': Value('string'), 'sha256': Value('string')}, 'packaged_images': Value('int64'), 'pipeline_state': {'bytes': Value('int64'), 'path': Value('string'), 'quick_check': Value('string'), 'sha256': Value('string')}, 'producer': Value('string'), 'root_manifest_complete': Value('bool'), 'status': Value('string'), 'stop_file_retained': Value('string'), 'uploaded_shards': List({'dicas': Value('int64'), 'remote_path': Value('string'), 'rows': Value('int64'), 'shard_index': Value('int64')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
auth: struct<hf_token_env: string>
child 0, hf_token_env: string
batch: struct<direct_download_chunk: int64, direct_plan_scan_chunk: int64, direct_plan_tail_probe: int64, m (... 51 chars omitted)
child 0, direct_download_chunk: int64
child 1, direct_plan_scan_chunk: int64
child 2, direct_plan_tail_probe: int64
child 3, minimum_archive_images: int64
child 4, target_images: int64
dca: struct<adapter: string, archive_extension: string, archive_ratio_gate_min_staged_bytes: int64, av1_c (... 1239 chars omitted)
child 0, adapter: string
child 1, archive_extension: string
child 2, archive_ratio_gate_min_staged_bytes: int64
child 3, av1_chroma: string
child 4, av1_cpu_fast_mode: bool
child 5, av1_crf: int64
child 6, av1_decode_cache_mib: int64
child 7, av1_exact_residual: bool
child 8, av1_fast_accept_ratio: double
child 9, av1_group_size: int64
child 10, av1_group_timeout_seconds: int64
child 11, av1_max_archive_mib: int64
child 12, av1_max_scale: double
child 13, av1_min_group: int64
child 14, av1_min_savings: double
child 15, av1_prefetch: int64
child 16, av1_preset: int64
child 17, av1_residual_zstd_level: int64
child 18, av1_size_guard_min_seconds: int64
child 19, av1_threads: int64
child 20, av1_time_budget_seconds: int64
child 21, av1_workers: int64
child 22, candidate_workers: int64
child 23, command: list<item: string>
child 0, item: string
child 24, compressor: string
child 25, default_size: int64
child
...
ld 1, minimum_free_gib: int64
stop_file_retained: string
status: string
pipeline_state: struct<bytes: int64, path: string, quick_check: string, sha256: string>
child 0, bytes: int64
child 1, path: string
child 2, quick_check: string
child 3, sha256: string
elapsed_seconds: double
finalized_archives: list<item: struct<archive_index: int64, images: int64, status: string>>
child 0, item: struct<archive_index: int64, images: int64, status: string>
child 0, archive_index: int64
child 1, images: int64
child 2, status: string
format: string
canonical: struct<bytes: int64, path: string, quick_check: string, remote_path: string, repo_id: string, sha256 (... 9 chars omitted)
child 0, bytes: int64
child 1, path: string
child 2, quick_check: string
child 3, remote_path: string
child 4, repo_id: string
child 5, sha256: string
packaged_images: int64
producer: string
root_manifest_complete: bool
completed_at: timestamp[s]
collection_closed: bool
incremental_state: struct<bytes: int64, path: string, quick_check: string, sha256: string>
child 0, bytes: int64
child 1, path: string
child 2, quick_check: string
child 3, sha256: string
uploaded_shards: list<item: struct<dicas: int64, remote_path: string, rows: int64, shard_index: int64>>
child 0, item: struct<dicas: int64, remote_path: string, rows: int64, shard_index: int64>
child 0, dicas: int64
child 1, remote_path: string
child 2, rows: int64
child 3, shard_index: int64
to
{'canonical': {'bytes': Value('int64'), 'path': Value('string'), 'quick_check': Value('string'), 'remote_path': Value('string'), 'repo_id': Value('string'), 'sha256': Value('string')}, 'collection_closed': Value('bool'), 'completed_at': Value('timestamp[s]'), 'elapsed_seconds': Value('float64'), 'finalized_archives': List({'archive_index': Value('int64'), 'images': Value('int64'), 'status': Value('string')}), 'format': Value('string'), 'incremental_state': {'bytes': Value('int64'), 'path': Value('string'), 'quick_check': Value('string'), 'sha256': Value('string')}, 'packaged_images': Value('int64'), 'pipeline_state': {'bytes': Value('int64'), 'path': Value('string'), 'quick_check': Value('string'), 'sha256': Value('string')}, 'producer': Value('string'), 'root_manifest_complete': Value('bool'), 'status': Value('string'), 'stop_file_retained': Value('string'), 'uploaded_shards': List({'dicas': Value('int64'), 'remote_path': Value('string'), 'rows': Value('int64'), 'shard_index': Value('int64')})}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Testing new way to compress images
All file contains 20,000 WebP images in 1536 resolutions instead
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