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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 2 was different: 
num_sequences: int64
dtype: string
files: struct<data-1-of-1.bin: int64>
scales: list<item: struct<offset: int64, length: int64>>
vs
num_sequences: int64
dtype: string
files: struct<data-1-of-8.bin: int64, data-2-of-8.bin: int64, data-3-of-8.bin: int64, data-4-of-8.bin: int64, data-5-of-8.bin: int64, data-6-of-8.bin: int64, data-7-of-8.bin: int64, data-8-of-8.bin: int64>
scales: list<item: struct<offset: int64, length: int64>>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 563, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                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.ArrowInvalid: Schema at index 2 was different: 
              num_sequences: int64
              dtype: string
              files: struct<data-1-of-1.bin: int64>
              scales: list<item: struct<offset: int64, length: int64>>
              vs
              num_sequences: int64
              dtype: string
              files: struct<data-1-of-8.bin: int64, data-2-of-8.bin: int64, data-3-of-8.bin: int64, data-4-of-8.bin: int64, data-5-of-8.bin: int64, data-6-of-8.bin: int64, data-7-of-8.bin: int64, data-8-of-8.bin: int64>
              scales: list<item: struct<offset: int64, length: int64>>

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Dataset Card for Time-300B

This repository contains the Time-300B dataset of the paper Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts.

For details on how to use this dataset, please visit our GitHub page.

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Paper for hao987654321/Time-300B