Datasets:

bangwu
/

rageval_qa

Error code:   FeaturesError
Exception:    OverflowError
Message:      value too large to convert to int32_t
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 4195, 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 2533, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2711, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2249, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 237, in _generate_tables
                  io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_json.pyx", line 54, in pyarrow._json.ReadOptions.__init__
                File "pyarrow/_json.pyx", line 79, in pyarrow._json.ReadOptions.block_size.__set__
              OverflowError: value too large to convert to int32_t

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rageval Dataset Bundle

This dataset repository stores the raw datasets currently available in the local rageval workspace together with the processed datasets used in the thesis experiments.

Repo:

bangwu/rageval_qa

Included data

Raw datasets

raw/docfinqa/
raw/financebench/
raw/lecardv2/
raw/loong/
raw/narrativeqa/
raw/peerqa/

Processed datasets

processed/docfinqa/docfinqa_unified.jsonl
processed/lecardv2/lecardv2_unified.jsonl
processed/loong/loong_unified.jsonl
processed/narrativeqa/narrativeqa_unified.jsonl
processed/peerqa/peerqa_unified.jsonl
processed/experiment/main_experiment.jsonl
processed/experiment/stress_test.jsonl
processed/experiment/ultra_long_finance.jsonl
processed/experiment/split_manifest.json
processed/experiment/ultra_long_finance_manifest.json

Notes

This repository is data-only. Scripts, experiment code, and thesis documents remain in the GitHub repository.
The processed files are the dataset artifacts used for the rageval comparison experiments.
Raw source materials may remain subject to their original licenses or redistribution constraints. Please review the original dataset licenses before reuse.

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