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: ClientResponseError Message: 503, message='Service Temporarily Unavailable', url=URL('https://downloads.cs.stanford.edu/nlp/data/gqa/images.zip') Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 322, 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 444, in get_rows_index return RowsIndex( File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 347, in __init__ self.parquet_index = self._init_parquet_index( File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 364, 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 126, in get_rows_or_raise return get_rows( File "/src/services/worker/src/worker/utils.py", line 64, in decorator return func(*args, **kwargs) File "/src/services/worker/src/worker/utils.py", line 103, 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 1392, in __iter__ example = _apply_feature_types_on_example( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1082, in _apply_feature_types_on_example decoded_example = features.decode_example(encoded_example, token_per_repo_id=token_per_repo_id) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1939, in decode_example return { File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1940, in <dictcomp> column_name: decode_nested_example(feature, value, token_per_repo_id=token_per_repo_id) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1340, in decode_nested_example return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 180, in decode_example with xopen(path, "rb", download_config=download_config) as f: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 512, in xopen file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open() File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 452, in open out = open_files( File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 280, in open_files fs, fs_token, paths = get_fs_token_paths( File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 622, in get_fs_token_paths fs = filesystem(protocol, **inkwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 290, in filesystem return cls(**storage_options) File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 79, in __call__ obj = super().__call__(*args, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 57, in __init__ self.zip = zipfile.ZipFile( File "/usr/local/lib/python3.9/zipfile.py", line 1266, in __init__ self._RealGetContents() File "/usr/local/lib/python3.9/zipfile.py", line 1329, in _RealGetContents endrec = _EndRecData(fp) File "/usr/local/lib/python3.9/zipfile.py", line 273, in _EndRecData data = fpin.read() File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 612, in read return super().read(length) File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1856, in read out = self.cache._fetch(self.loc, self.loc + length) File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/caching.py", line 418, in _fetch self.cache = self.fetcher(start, bend) File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 118, in wrapper return sync(self.loop, func, *args, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 103, in sync raise return_result File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py", line 56, in _runner result[0] = await coro File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py", line 667, in async_fetch_range r.raise_for_status() File "/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/client_reqrep.py", line 1060, in raise_for_status raise ClientResponseError( aiohttp.client_exceptions.ClientResponseError: 503, message='Service Temporarily Unavailable', url=URL('https://downloads.cs.stanford.edu/nlp/data/gqa/images.zip')
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