Datasets:

ChristineYe8
/

ReplicationBench

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papers

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:    TypeError
Message:      Couldn't cast array of type
struct<kind: string, dataset_name: string, data_instructions: struct<access: string, access_instructions: string, usage_instructions: string, read_instructions: string, usage: string>, hf_name: list<item: string>, hf_split: list<item: string>, hf_type: list<item: string>, hf_link: string>
to
{'kind': Value('string'), 'dataset_name': Value('string'), 'data_instructions': Value('string')}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2431, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                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 1984, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2197, in cast_table_to_features
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2052, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2092, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<kind: string, dataset_name: string, data_instructions: struct<access: string, access_instructions: string, usage_instructions: string, read_instructions: string, usage: string>, hf_name: list<item: string>, hf_split: list<item: string>, hf_type: list<item: string>, hf_link: string>
              to
              {'kind': Value('string'), 'dataset_name': Value('string'), 'data_instructions': Value('string')}

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ReplicationBench

arXiv: ReplicationBench: Can AI Agents Replicate Astrophysics Research Papers?

GitHub: https://github.com/Christine8888/replicationbench-release

Dataset Description

The ReplicationBench dataset contains 111 astrophysics research replication tasks, spanning complete replications of 20 research papers. The dataset includes:

Original and masked manuscript text
Metadata (title, abstract, publication info, etc.)
Pointers to datasets and dataset access instructions
Additional specifications from the authors
Execution requirements
Detailed descriptions and grading guidelines for each task

Usage

from datasets import load_dataset

# Load papers
papers_ds = load_dataset("ChristineYe8/replicationbench", split="papers")

# Load tasks
tasks_ds = load_dataset("ChristineYe8/replicationbench", split="tasks")

You can load the dataset from HuggingFace into native ReplicationBench format using this script. However, if using RB's native formats, we recommend using the native data loading instead, described here.

Citation

If you use ReplicationBench in your research, please cite:

@misc{ye2025replicationbenchaiagentsreplicate,
      title={ReplicationBench: Can AI Agents Replicate Astrophysics Research Papers?},
      author={Christine Ye and Sihan Yuan and Suchetha Cooray and Steven Dillmann and Ian L. V. Roque and Dalya Baron and Philipp Frank and Sergio Martin-Alvarez and Nolan Koblischke and Frank J Qu and Diyi Yang and Risa Wechsler and Ioana Ciuca},
      year={2025},
      eprint={2510.24591},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2510.24591},
}

License

MIT License

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