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Aiden0526
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SWE-Chain-Evo

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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
instance_id: string
version_chain_id: string
version_chain_index: int64
problem_statement: string
image: string
repo: string
version: string
fail_to_pass: list<item: string>
  child 0, item: string
pass_to_pass: list<item: string>
  child 0, item: string
raw: struct<repo: string, base_commit: string, target_commit: string, date: timestamp[s], subject: string (... 1427 chars omitted)
  child 0, repo: string
  child 1, base_commit: string
  child 2, target_commit: string
  child 3, date: timestamp[s]
  child 4, subject: string
  child 5, files: struct<prod: list<item: string>, test: list<item: string>, docs: list<item: string>, ci: list<item:  (... 6 chars omitted)
      child 0, prod: list<item: string>
          child 0, item: string
      child 1, test: list<item: string>
          child 0, item: string
      child 2, docs: list<item: string>
          child 0, item: string
      child 3, ci: list<item: null>
          child 0, item: null
  child 6, prod_file_count: int64
  child 7, test_file_count: int64
  child 8, docs_file_count: int64
  child 9, ci_file_count: int64
  child 10, insertions: int64
  child 11, deletions: int64
  child 12, patch: string
  child 13, test_patch: string
  child 14, test_cmds: list<item: string>
      child 0, item: string
  child 15, target_test_names: list<item: string>
      child 0, item: string
  child 16, p2p_guard_tests: list<item: string>
      child 0, item: string
  child 17, auxiliary_test_targets: list<item: null>
      child 0, item
...
, problem_statement: string
  child 34, milestone_goal_private: string
  child 35, source_commit_subjects_private: list<item: string>
      child 0, item: string
  child 36, FAIL_TO_PASS: list<item: string>
      child 0, item: string
  child 37, PASS_TO_PASS: list<item: string>
      child 0, item: string
  child 38, oracle_fields_hidden_from_model: list<item: string>
      child 0, item: string
  child 39, semantic_score: int64
  child 40, semantic_decision: string
  child 41, problem_statement_quality: string
  child 42, semantic_reasons: list<item: null>
      child 0, item: null
  child 43, semantic_tags: struct<weak: bool, toolchain_specific: bool, semantic_signal: bool, has_auto_tests: bool>
      child 0, weak: bool
      child 1, toolchain_specific: bool
      child 2, semantic_signal: bool
      child 3, has_auto_tests: bool
  child 44, step_index: int64
  child 45, version_chain_id: string
  child 46, version_chain_index: int64
  child 47, sequence_id: string
  child 48, sequence_problem_statement: string
  child 49, milestone_count: int64
  child 50, model_exposure_policy: string
instances: list<item: struct<instance_id: string, version_chain_index: int64, image: string, version: string>>
  child 0, item: struct<instance_id: string, version_chain_index: int64, image: string, version: string>
      child 0, instance_id: string
      child 1, version_chain_index: int64
      child 2, image: string
      child 3, version: string
chain_id: string
instance_count: int64
to
{'chain_id': Value('string'), 'repo': Value('string'), 'instance_count': Value('int64'), 'instances': List({'instance_id': Value('string'), 'version_chain_index': Value('int64'), 'image': Value('string'), 'version': Value('string')})}
because column names don't match
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 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 419, 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 310, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              instance_id: string
              version_chain_id: string
              version_chain_index: int64
              problem_statement: string
              image: string
              repo: string
              version: string
              fail_to_pass: list<item: string>
                child 0, item: string
              pass_to_pass: list<item: string>
                child 0, item: string
              raw: struct<repo: string, base_commit: string, target_commit: string, date: timestamp[s], subject: string (... 1427 chars omitted)
                child 0, repo: string
                child 1, base_commit: string
                child 2, target_commit: string
                child 3, date: timestamp[s]
                child 4, subject: string
                child 5, files: struct<prod: list<item: string>, test: list<item: string>, docs: list<item: string>, ci: list<item:  (... 6 chars omitted)
                    child 0, prod: list<item: string>
                        child 0, item: string
                    child 1, test: list<item: string>
                        child 0, item: string
                    child 2, docs: list<item: string>
                        child 0, item: string
                    child 3, ci: list<item: null>
                        child 0, item: null
                child 6, prod_file_count: int64
                child 7, test_file_count: int64
                child 8, docs_file_count: int64
                child 9, ci_file_count: int64
                child 10, insertions: int64
                child 11, deletions: int64
                child 12, patch: string
                child 13, test_patch: string
                child 14, test_cmds: list<item: string>
                    child 0, item: string
                child 15, target_test_names: list<item: string>
                    child 0, item: string
                child 16, p2p_guard_tests: list<item: string>
                    child 0, item: string
                child 17, auxiliary_test_targets: list<item: null>
                    child 0, item
              ...
              , problem_statement: string
                child 34, milestone_goal_private: string
                child 35, source_commit_subjects_private: list<item: string>
                    child 0, item: string
                child 36, FAIL_TO_PASS: list<item: string>
                    child 0, item: string
                child 37, PASS_TO_PASS: list<item: string>
                    child 0, item: string
                child 38, oracle_fields_hidden_from_model: list<item: string>
                    child 0, item: string
                child 39, semantic_score: int64
                child 40, semantic_decision: string
                child 41, problem_statement_quality: string
                child 42, semantic_reasons: list<item: null>
                    child 0, item: null
                child 43, semantic_tags: struct<weak: bool, toolchain_specific: bool, semantic_signal: bool, has_auto_tests: bool>
                    child 0, weak: bool
                    child 1, toolchain_specific: bool
                    child 2, semantic_signal: bool
                    child 3, has_auto_tests: bool
                child 44, step_index: int64
                child 45, version_chain_id: string
                child 46, version_chain_index: int64
                child 47, sequence_id: string
                child 48, sequence_problem_statement: string
                child 49, milestone_count: int64
                child 50, model_exposure_policy: string
              instances: list<item: struct<instance_id: string, version_chain_index: int64, image: string, version: string>>
                child 0, item: struct<instance_id: string, version_chain_index: int64, image: string, version: string>
                    child 0, instance_id: string
                    child 1, version_chain_index: int64
                    child 2, image: string
                    child 3, version: string
              chain_id: string
              instance_count: int64
              to
              {'chain_id': Value('string'), 'repo': Value('string'), 'instance_count': Value('int64'), 'instances': List({'instance_id': Value('string'), 'version_chain_index': Value('int64'), 'image': Value('string'), 'version': Value('string')})}
              because column names don't match

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YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

SWE-EVO Long-Chain Dataset (50 chains)

This repository contains the SWE-EVO long-chain dataset, which is part of the EvoArena benchmark for evaluating robust LLM agents in dynamic software-engineering environments. It is a SWE-bench-style benchmark of sequential-milestone chains for evaluating long-horizon software-engineering agents (and patch-memory methods). Each "chain" is an ordered sequence of related code-change milestones in one repository; an agent must solve them in order, ideally carrying context (patch memory) across milestones.

Project page: https://aiden0526.github.io/EvoArena/

GitHub repository: https://github.com/Aiden0526/EvoArena

Contents

  • chains50.txt — the 50 chain IDs (one per line).
  • chains/<chain_id>/chain.json — chain manifest: chain_id, repo, instance_count, instances.
  • chains/<chain_id>/instances/NNN-<instance_id>.json — per-milestone instance: instance_id, version_chain_id, version_chain_index, problem_statement, image, repo, version, fail_to_pass, pass_to_pass, raw.
  • chains/<chain_id>/instances/NNN-<instance_id>.prompt.md — per-milestone prompt text.

Chain ID format: <owner>__<repo>_multistep_v25_L<NN>_s<K> where L<NN> = chain length (milestones) and s<K> = sequence variant.

External resources

Dataset statistics

  • 50 chains · 12 repositories · 493 milestones (instances)
  • Chain length: min 5, max 15, mean 9.9 — distribution: L5×10, L7×9, L10×10, L12×7, L13×7, L15×7
  • Language: 40 Go chains (404 ms) / 10 Python chains (89 ms)
  • Tests: 3,514 Fail-to-Pass + 12,743 Pass-to-Pass across all milestones
    • F2P per milestone: min 1, median 2, mean 7.1, max 71 (right-skewed)
    • P2P per milestone: min 1, median 4, mean 25.8, max 694

Repositories

Repository Lang Chains Milestones
coredns/coredns Go 6 62
grafana/loki Go 6 62
istio/istio Go 6 62
nats-io/nats-server Go 6 62
prometheus/prometheus Go 6 62
pallets/click Python 6 62
gofiber/fiber Go 5 57
containerd/containerd Go 3 22
sqlfluff/sqlfluff Python 3 22
argoproj/argo-workflows Go 1 10
cli/cli Go 1 5
pytest-dev/pytest Python 1 5

Notes

  • This is the finalized V25 evaluation set (lengths capped at 15). Longer candidate chains (up to L30) exist in earlier dataset versions but are not part of this 50-chain release.
  • Docker eval images are referenced by the image field per instance and are not bundled in this metadata repository.

Citation

If you use this dataset, please cite our paper:

@article{xu2026evoarena,
  title   = {EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments},
  author  = {Jundong Xu and Qingchuan Li and Jiaying Wu and Yihuai Lan and Shuyue Stella Li and Huichi Zhou and Bowen Jiang and Lei Wang and Jun Wang and Anh Tuan Luu and Caiming Xiong and Hae Won Park and Bryan Hooi and Zhiyuan Hu},
  journal = {arXiv preprint arXiv:XXXX.XXXXX},
  year    = {2026}
}
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