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Melevir__cognitive_complexity-15
swe-agent-llama-70b
true
[ { "cutoff_date": "01.01.2023", "mask": false, "role": "system", "system_prompt": "SETTING: You are an autonomous programmer, and you're working directly in the command line with a special interface.\n\nThe special interface consists of a file editor that shows you 100 lines of a file at a time.\nIn ...
submitted
diff --git a/cognitive_complexity/utils/ast.py b/cognitive_complexity/utils/ast.py index 7e3938c..d85460a 100644 --- a/cognitive_complexity/utils/ast.py +++ b/cognitive_complexity/utils/ast.py @@ -85,7 +85,7 @@ def process_node_itself( return increment_by, 0, True elif isinstance(node, ast.BoolOp): ...
Will execute following command for apply_patch: ``` cd //cognitive_complexity && source activate base && conda activate cognitive_complexity && git apply -v /swebench_matterhorn/prediction_patch.patch --allow-empty ``` Checking patch cognitive_complexity/utils/ast.py... Checking patch tests/test_cognitive_complexity....
bihealth__biomedsheets-23
swe-agent-llama-70b
true
[ { "cutoff_date": "01.01.2023", "mask": false, "role": "system", "system_prompt": "SETTING: You are an autonomous programmer, and you're working directly in the command line with a special interface.\n\nThe special interface consists of a file editor that shows you 100 lines of a file at a time.\nIn ...
submitted
diff --git a/biomedsheets/io_tsv/germline.py b/biomedsheets/io_tsv/germline.py index 2214d46..c515317 100644 --- a/biomedsheets/io_tsv/germline.py +++ b/biomedsheets/io_tsv/germline.py @@ -106,15 +106,16 @@ class GermlineTSVReader(BaseTSVReader): def check_tsv_line(self, mapping, lineno): """Cancer sampl...
Will execute following command for apply_patch: ``` cd //biomedsheets && source activate base && conda activate biomedsheets && git apply -v /swebench_matterhorn/prediction_patch.patch --allow-empty ``` Checking patch biomedsheets/io_tsv/germline.py... Applied patch biomedsheets/io_tsv/germline.py cleanly. Will execu...
geopandas__geopandas-3240
swe-agent-llama-70b
true
[ { "cutoff_date": "01.01.2023", "mask": false, "role": "system", "system_prompt": "SETTING: You are an autonomous programmer, and you're working directly in the command line with a special interface.\n\nThe special interface consists of a file editor that shows you 100 lines of a file at a time.\nIn ...
submitted
diff --git a/geopandas/tools/sjoin.py b/geopandas/tools/sjoin.py index 9ac00d7..01bdc6c 100644 --- a/geopandas/tools/sjoin.py +++ b/geopandas/tools/sjoin.py @@ -195,7 +195,8 @@ def _geom_predicate_query(left_df, right_df, predicate, distance): if original_predicate == "within": # within is implemented as...
Will execute following command for apply_patch: ``` cd //geopandas && source activate base && conda activate geopandas && git apply -v /swebench_matterhorn/prediction_patch.patch --allow-empty ``` Checking patch geopandas/tools/sjoin.py... Applied patch geopandas/tools/sjoin.py cleanly. Will execute following command...
hugovk__pypistats-41
swe-agent-llama-70b
true
[{"cutoff_date":"01.01.2023","mask":false,"role":"system","system_prompt":"SETTING: You are an auton(...TRUNCATED)
submitted
"\ndiff --git a/pypistats/cli.py b/pypistats/cli.py\nindex 092f9b7..2560742 100644\n--- a/pypistats/(...TRUNCATED)
"Will execute following command for apply_patch:\n```\n\ncd //pypistats &&\nsource activate base &&\(...TRUNCATED)
iterative__dvc-5785
swe-agent-llama-70b
true
[{"cutoff_date":"01.01.2023","mask":false,"role":"system","system_prompt":"SETTING: You are an auton(...TRUNCATED)
submitted
"\ndiff --git a/dvc/command/experiments.py b/dvc/command/experiments.py\nindex 80b8f178b..b8a207a3b (...TRUNCATED)
"Will execute following command for apply_patch:\n```\n\ncd //dvc &&\nsource activate base &&\nconda(...TRUNCATED)
joke2k__django-environ-358
swe-agent-llama-70b
true
[{"cutoff_date":"01.01.2023","mask":false,"role":"system","system_prompt":"SETTING: You are an auton(...TRUNCATED)
submitted
"\ndiff --git a/environ/environ.py b/environ/environ.py\nindex acdfb15..32f6d76 100644\n--- a/enviro(...TRUNCATED)
"Will execute following command for apply_patch:\n```\n\ncd //django-environ &&\nsource activate bas(...TRUNCATED)
just-work__fffw-100
swe-agent-llama-70b
true
[{"cutoff_date":"01.01.2023","mask":false,"role":"system","system_prompt":"SETTING: You are an auton(...TRUNCATED)
submitted
"\ndiff --git a/fffw/encoding/filters.py b/fffw/encoding/filters.py\nindex 194424c..8f521e6 100644\n(...TRUNCATED)
"Will execute following command for apply_patch:\n```\n\ncd //fffw &&\nsource activate base &&\ncond(...TRUNCATED)
networkx__networkx-7024
swe-agent-llama-405b
true
[{"cutoff_date":"01.01.2023","mask":false,"role":"system","system_prompt":"SETTING: You are an auton(...TRUNCATED)
submitted
"\ndiff --git a/networkx/algorithms/connectivity/edge_augmentation.py b/networkx/algorithms/connecti(...TRUNCATED)
"Will execute following command for apply_patch:\n```\n\ncd //networkx &&\nsource activate base &&\n(...TRUNCATED)
ppizarror__pygame-menu-357
swe-agent-llama-70b
true
[{"cutoff_date":"01.01.2023","mask":false,"role":"system","system_prompt":"SETTING: You are an auton(...TRUNCATED)
submitted
"\ndiff --git a/pygame_menu/widgets/widget/rangeslider.py b/pygame_menu/widgets/widget/rangeslider.p(...TRUNCATED)
"Will execute following command for apply_patch:\n```\n\ncd //pygame-menu &&\nsource activate base &(...TRUNCATED)
python-visualization__folium-1633
swe-agent-llama-70b
true
[{"cutoff_date":"01.01.2023","mask":false,"role":"system","system_prompt":"SETTING: You are an auton(...TRUNCATED)
submitted
"\ndiff --git a/folium/utilities.py b/folium/utilities.py\nindex 875ac015..cb5e31ad 100644\n--- a/fo(...TRUNCATED)
"Will execute following command for apply_patch:\n```\n\ncd //folium &&\nsource activate base &&\nco(...TRUNCATED)
End of preview. Expand in Data Studio

Successful SWE-Agent Trajectories

This dataset contains successful software engineering agent trajectories filtered from:

nebius/SWE-agent-trajectories

Only rows where:

target == True

are included.

Source dataset

The source dataset contains 80,036 trajectories:

  • 13,389 successful trajectories
  • 66,647 unsuccessful trajectories

This repository is a filtered subset containing successful trajectories only.

Fields

Field Type Description
instance_id string Repository issue identifier
model_name string Model used to generate the trajectory
target bool Whether the issue was solved
trajectory list Full agent conversation
exit_status string Why the agent stopped
generated_patch string Final Git patch
eval_logs string Test execution logs

Trajectory message format

Each item in trajectory is a dictionary:

{
    "cutoff_date": "string or null",
    "mask": false,
    "role": "system/user/ai",
    "system_prompt": "string or null",
    "text": "string or null"
}

Usage

from datasets import load_dataset

ds = load_dataset(
    "antontuzovAI/swe-agent-successful-trajectories",
    streaming=True,
    split="train"
)

for sample in ds:
    print(sample["instance_id"], sample["model_name"], sample["target"])

License

The source dataset is licensed under CC-BY-4.0.

However, individual repositories used in SWE-bench instances may have their own licenses.

Also, if you use outputs from Llama-based agents, you must comply with the relevant Llama license.

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