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luisml77
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babilong-qa1-2k

Tags:
nlp
long-context
babilong
qa
dataset
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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 1 was different: 
task: string
length: string
input_file: string
output_dir: string
num_rows: int64
vs
input: string
question: string
target: string
supporting_facts: list<item: string>
all_facts: list<item: string>
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 3608, 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 2368, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 572, 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 1 was different: 
              task: string
              length: string
              input_file: string
              output_dir: string
              num_rows: int64
              vs
              input: string
              question: string
              target: string
              supporting_facts: list<item: string>
              all_facts: list<item: string>

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luisml77/babilong-qa1-2k

This dataset was generated from the public BABILong scripts and is intended for long-context QA1 workflows.

Format

Each sample is a standalone JSON file for easy inspection.

  • Path pattern: samples/qa1/2k/000000.json
  • No JSONL bundle required for browsing individual samples.

Data Recipe

  • Task: qa1_single-supporting-fact
  • Context length: 2k
  • Sample count: 400
  • Noise corpus: wikitext-2 (used instead of PG19 for efficiency in this release)

Sample JSON Fields

  • input
  • question
  • target
  • supporting_facts
  • all_facts

Collection

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