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Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError Message: The split names could not be parsed from the dataset config. Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/mongoengine/queryset/base.py", line 269, in get result = next(queryset) File "/src/services/worker/.venv/lib/python3.9/site-packages/mongoengine/queryset/base.py", line 1608, in __next__ raw_doc = next(self._cursor) File "/src/services/worker/.venv/lib/python3.9/site-packages/pymongo/cursor.py", line 1267, in next raise StopIteration StopIteration During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 516, in get_response_with_details CachedResponseDocument.objects(kind=kind, dataset=dataset, config=config, split=split) File "/src/services/worker/.venv/lib/python3.9/site-packages/mongoengine/queryset/base.py", line 272, in get raise queryset._document.DoesNotExist(msg) libcommon.simple_cache.DoesNotExist: CachedResponseDocument matching query does not exist. 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/split_names.py", line 159, in compute compute_split_names_from_info_response( File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 131, in compute_split_names_from_info_response config_info_response = get_previous_step_or_raise(kind="config-info", dataset=dataset, config=config) File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 565, in get_previous_step_or_raise response = get_response_with_details(kind=kind, dataset=dataset, config=config, split=split) File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 529, in get_response_with_details raise CachedArtifactNotFoundError(kind=kind, dataset=dataset, config=config, split=split) from e libcommon.simple_cache.CachedArtifactNotFoundError: Cache entry does not exist: kind='config-info' dataset='csarron/4m-img-caps' config='default' split=None During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 499, in get_dataset_config_info for split_generator in builder._split_generators( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/arrow/arrow.py", line 50, in _split_generators self.info.features = datasets.Features.from_arrow_schema(pa.ipc.open_stream(f).schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/ipc.py", line 190, in open_stream return RecordBatchStreamReader(source, options=options, File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/ipc.py", line 52, in __init__ self._open(source, options=options, memory_pool=memory_pool) File "pyarrow/ipc.pxi", line 974, in pyarrow.lib._RecordBatchStreamReader._open File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status OSError: Invalid flatbuffers message. 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/split_names.py", line 75, in compute_split_names_from_streaming_response for split in get_dataset_split_names( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 572, in get_dataset_split_names info = get_dataset_config_info( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 504, in get_dataset_config_info raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.
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YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
see read_pyarrow.py for how to read one pyarrow file.
example PyTorch dataset:
from torch.utils.data import Dataset
class ImageCaptionArrowDataset(Dataset):
def __init__(
self,
dataset_file,
tokenizer,
):
import pyarrow as pa
data = [pa.ipc.open_file(pa.memory_map(f, "rb")).read_all() for f in glob.glob(dataset_file)]
self.data = pa.concat_tables(data)
# do other initialization, like init image preprocessing fn,
def __getitem__(self, index):
# item_id = self.data["id"][index].as_py()
text = self.data["text"][index].as_py() # get text
if isinstance(text, list):
text = random.choice(text)
img_bytes = self.data["image"][index].as_py() # get image bytes
# do some processing with image and text, return the features
# img_feat = self.image_bytes_to_tensor(img_bytes)
# inputs = self.tokenizer(
# text,
# padding="max_length",
# max_length=self.max_text_len,
# truncation=True,
# return_token_type_ids=True,
# return_attention_mask=True,
# add_special_tokens=True,
# return_tensors="pt",
# )
# input_ids = inputs.input_ids.squeeze(0)
# attention_mask = inputs.attention_mask.squeeze(0)
# return {
# # "item_ids": item_id,
# "text_ids": input_ids,
# "input_ids": input_ids,
# "text_masks": attention_mask,
# "pixel_values": img_feat,
# }
def __len__(self):
return len(self.data)
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