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The dataset generation failed
Error code: DatasetGenerationError
Exception: ValueError
Message: Expected object or value
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 246, in _generate_tables
pa_table = paj.read_json(
^^^^^^^^^^^^^^
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
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: JSON parse error: Column() changed from object to string in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 260, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 106, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1348, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
num_trajectories int64 | hidden_size int64 | model_name string | max_model_len int64 | n_truncated int64 | n_success int64 | n_failure int64 | split string | split_method string | trajectories dict |
|---|---|---|---|---|---|---|---|---|---|
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 24,
"reward": 0,
"task_id": "astropy__astropy-13236",
"trajectory_id": "claude-4-opus/astropy__astropy-13236"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 29,
"reward": 1,
"task_id": "astropy__astropy-13579",
"trajectory_id": "claude-4-opus/astropy__astropy-13579"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 19,
"reward": 1,
"task_id": "astropy__astropy-14096",
"trajectory_id": "claude-4-opus/astropy__astropy-14096"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 43,
"reward": 0,
"task_id": "astropy__astropy-14182",
"trajectory_id": "claude-4-opus/astropy__astropy-14182"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 26,
"reward": 1,
"task_id": "astropy__astropy-14309",
"trajectory_id": "claude-4-opus/astropy__astropy-14309"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 24,
"reward": 1,
"task_id": "astropy__astropy-14369",
"trajectory_id": "claude-4-opus/astropy__astropy-14369"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 27,
"reward": 1,
"task_id": "astropy__astropy-14508",
"trajectory_id": "claude-4-opus/astropy__astropy-14508"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 35,
"reward": 1,
"task_id": "astropy__astropy-14995",
"trajectory_id": "claude-4-opus/astropy__astropy-14995"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 20,
"reward": 1,
"task_id": "astropy__astropy-7166",
"trajectory_id": "claude-4-opus/astropy__astropy-7166"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 22,
"reward": 1,
"task_id": "astropy__astropy-7336",
"trajectory_id": "claude-4-opus/astropy__astropy-7336"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 17,
"reward": 1,
"task_id": "astropy__astropy-7671",
"trajectory_id": "claude-4-opus/astropy__astropy-7671"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 34,
"reward": 0,
"task_id": "astropy__astropy-8707",
"trajectory_id": "claude-4-opus/astropy__astropy-8707"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 23,
"reward": 0,
"task_id": "astropy__astropy-8872",
"trajectory_id": "claude-4-opus/astropy__astropy-8872"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 39,
"reward": 0,
"task_id": "django__django-10097",
"trajectory_id": "claude-4-opus/django__django-10097"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 15,
"reward": 1,
"task_id": "django__django-10880",
"trajectory_id": "claude-4-opus/django__django-10880"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 22,
"reward": 0,
"task_id": "django__django-10999",
"trajectory_id": "claude-4-opus/django__django-10999"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 40,
"reward": 0,
"task_id": "django__django-11087",
"trajectory_id": "claude-4-opus/django__django-11087"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 20,
"reward": 1,
"task_id": "django__django-11095",
"trajectory_id": "claude-4-opus/django__django-11095"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 14,
"reward": 1,
"task_id": "django__django-11099",
"trajectory_id": "claude-4-opus/django__django-11099"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 23,
"reward": 1,
"task_id": "django__django-11119",
"trajectory_id": "claude-4-opus/django__django-11119"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 29,
"reward": 0,
"task_id": "django__django-11149",
"trajectory_id": "claude-4-opus/django__django-11149"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 19,
"reward": 1,
"task_id": "django__django-11179",
"trajectory_id": "claude-4-opus/django__django-11179"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 14,
"reward": 0,
"task_id": "django__django-11206",
"trajectory_id": "claude-4-opus/django__django-11206"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 39,
"reward": 1,
"task_id": "django__django-11211",
"trajectory_id": "claude-4-opus/django__django-11211"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 24,
"reward": 1,
"task_id": "django__django-11292",
"trajectory_id": "claude-4-opus/django__django-11292"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 30,
"reward": 0,
"task_id": "django__django-11400",
"trajectory_id": "claude-4-opus/django__django-11400"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 23,
"reward": 1,
"task_id": "django__django-11451",
"trajectory_id": "claude-4-opus/django__django-11451"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 29,
"reward": 0,
"task_id": "django__django-11477",
"trajectory_id": "claude-4-opus/django__django-11477"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 37,
"reward": 1,
"task_id": "django__django-11555",
"trajectory_id": "claude-4-opus/django__django-11555"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 18,
"reward": 1,
"task_id": "django__django-11603",
"trajectory_id": "claude-4-opus/django__django-11603"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 24,
"reward": 1,
"task_id": "django__django-11740",
"trajectory_id": "claude-4-opus/django__django-11740"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 26,
"reward": 1,
"task_id": "django__django-11815",
"trajectory_id": "claude-4-opus/django__django-11815"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 22,
"reward": 0,
"task_id": "django__django-11820",
"trajectory_id": "claude-4-opus/django__django-11820"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 48,
"reward": 0,
"task_id": "django__django-11885",
"trajectory_id": "claude-4-opus/django__django-11885"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 35,
"reward": 0,
"task_id": "django__django-11964",
"trajectory_id": "claude-4-opus/django__django-11964"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 31,
"reward": 1,
"task_id": "django__django-12039",
"trajectory_id": "claude-4-opus/django__django-12039"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 22,
"reward": 1,
"task_id": "django__django-12050",
"trajectory_id": "claude-4-opus/django__django-12050"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 20,
"reward": 0,
"task_id": "django__django-12125",
"trajectory_id": "claude-4-opus/django__django-12125"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 16,
"reward": 1,
"task_id": "django__django-12143",
"trajectory_id": "claude-4-opus/django__django-12143"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 13,
"reward": 1,
"task_id": "django__django-12155",
"trajectory_id": "claude-4-opus/django__django-12155"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 33,
"reward": 0,
"task_id": "django__django-12193",
"trajectory_id": "claude-4-opus/django__django-12193"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 43,
"reward": 1,
"task_id": "django__django-12209",
"trajectory_id": "claude-4-opus/django__django-12209"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 50,
"reward": 0,
"task_id": "django__django-12273",
"trajectory_id": "claude-4-opus/django__django-12273"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 27,
"reward": 1,
"task_id": "django__django-12276",
"trajectory_id": "claude-4-opus/django__django-12276"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 22,
"reward": 1,
"task_id": "django__django-12304",
"trajectory_id": "claude-4-opus/django__django-12304"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 35,
"reward": 0,
"task_id": "django__django-12308",
"trajectory_id": "claude-4-opus/django__django-12308"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 22,
"reward": 1,
"task_id": "django__django-12325",
"trajectory_id": "claude-4-opus/django__django-12325"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 31,
"reward": 0,
"task_id": "django__django-12406",
"trajectory_id": "claude-4-opus/django__django-12406"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 20,
"reward": 1,
"task_id": "django__django-12419",
"trajectory_id": "claude-4-opus/django__django-12419"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 54,
"reward": 1,
"task_id": "django__django-12663",
"trajectory_id": "claude-4-opus/django__django-12663"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 17,
"reward": 1,
"task_id": "django__django-12708",
"trajectory_id": "claude-4-opus/django__django-12708"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 22,
"reward": 1,
"task_id": "django__django-12713",
"trajectory_id": "claude-4-opus/django__django-12713"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 19,
"reward": 1,
"task_id": "django__django-12741",
"trajectory_id": "claude-4-opus/django__django-12741"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 48,
"reward": 1,
"task_id": "django__django-12754",
"trajectory_id": "claude-4-opus/django__django-12754"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 30,
"reward": 1,
"task_id": "django__django-12858",
"trajectory_id": "claude-4-opus/django__django-12858"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 29,
"reward": 1,
"task_id": "django__django-13012",
"trajectory_id": "claude-4-opus/django__django-13012"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 25,
"reward": 1,
"task_id": "django__django-13023",
"trajectory_id": "claude-4-opus/django__django-13023"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 36,
"reward": 1,
"task_id": "django__django-13028",
"trajectory_id": "claude-4-opus/django__django-13028"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 17,
"reward": 1,
"task_id": "django__django-13089",
"trajectory_id": "claude-4-opus/django__django-13089"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 48,
"reward": 1,
"task_id": "django__django-13112",
"trajectory_id": "claude-4-opus/django__django-13112"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 76,
"reward": 1,
"task_id": "django__django-13121",
"trajectory_id": "claude-4-opus/django__django-13121"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 38,
"reward": 0,
"task_id": "django__django-13195",
"trajectory_id": "claude-4-opus/django__django-13195"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 20,
"reward": 1,
"task_id": "django__django-13279",
"trajectory_id": "claude-4-opus/django__django-13279"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 30,
"reward": 1,
"task_id": "django__django-13315",
"trajectory_id": "claude-4-opus/django__django-13315"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 25,
"reward": 1,
"task_id": "django__django-13343",
"trajectory_id": "claude-4-opus/django__django-13343"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 60,
"reward": 0,
"task_id": "django__django-13344",
"trajectory_id": "claude-4-opus/django__django-13344"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 32,
"reward": 1,
"task_id": "django__django-13401",
"trajectory_id": "claude-4-opus/django__django-13401"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 30,
"reward": 1,
"task_id": "django__django-13406",
"trajectory_id": "claude-4-opus/django__django-13406"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 20,
"reward": 1,
"task_id": "django__django-13417",
"trajectory_id": "claude-4-opus/django__django-13417"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 35,
"reward": 0,
"task_id": "django__django-13449",
"trajectory_id": "claude-4-opus/django__django-13449"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 15,
"reward": 0,
"task_id": "django__django-13513",
"trajectory_id": "claude-4-opus/django__django-13513"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 36,
"reward": 1,
"task_id": "django__django-13516",
"trajectory_id": "claude-4-opus/django__django-13516"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 35,
"reward": 1,
"task_id": "django__django-13569",
"trajectory_id": "claude-4-opus/django__django-13569"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 18,
"reward": 1,
"task_id": "django__django-13590",
"trajectory_id": "claude-4-opus/django__django-13590"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 15,
"reward": 1,
"task_id": "django__django-13658",
"trajectory_id": "claude-4-opus/django__django-13658"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 24,
"reward": 1,
"task_id": "django__django-13670",
"trajectory_id": "claude-4-opus/django__django-13670"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 22,
"reward": 1,
"task_id": "django__django-13741",
"trajectory_id": "claude-4-opus/django__django-13741"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 34,
"reward": 0,
"task_id": "django__django-13794",
"trajectory_id": "claude-4-opus/django__django-13794"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 26,
"reward": 1,
"task_id": "django__django-13807",
"trajectory_id": "claude-4-opus/django__django-13807"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 17,
"reward": 1,
"task_id": "django__django-13809",
"trajectory_id": "claude-4-opus/django__django-13809"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 25,
"reward": 1,
"task_id": "django__django-13810",
"trajectory_id": "claude-4-opus/django__django-13810"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 31,
"reward": 1,
"task_id": "django__django-13821",
"trajectory_id": "claude-4-opus/django__django-13821"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 19,
"reward": 1,
"task_id": "django__django-13837",
"trajectory_id": "claude-4-opus/django__django-13837"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 36,
"reward": 1,
"task_id": "django__django-13925",
"trajectory_id": "claude-4-opus/django__django-13925"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 29,
"reward": 1,
"task_id": "django__django-13933",
"trajectory_id": "claude-4-opus/django__django-13933"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 66,
"reward": 0,
"task_id": "django__django-13964",
"trajectory_id": "claude-4-opus/django__django-13964"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 51,
"reward": 1,
"task_id": "django__django-14017",
"trajectory_id": "claude-4-opus/django__django-14017"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 30,
"reward": 0,
"task_id": "django__django-14034",
"trajectory_id": "claude-4-opus/django__django-14034"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 20,
"reward": 0,
"task_id": "django__django-14053",
"trajectory_id": "claude-4-opus/django__django-14053"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 27,
"reward": 1,
"task_id": "django__django-14122",
"trajectory_id": "claude-4-opus/django__django-14122"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 29,
"reward": 1,
"task_id": "django__django-14140",
"trajectory_id": "claude-4-opus/django__django-14140"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 20,
"reward": 0,
"task_id": "django__django-14170",
"trajectory_id": "claude-4-opus/django__django-14170"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 29,
"reward": 1,
"task_id": "django__django-14238",
"trajectory_id": "claude-4-opus/django__django-14238"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 17,
"reward": 0,
"task_id": "django__django-14315",
"trajectory_id": "claude-4-opus/django__django-14315"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 23,
"reward": 1,
"task_id": "django__django-14349",
"trajectory_id": "claude-4-opus/django__django-14349"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 43,
"reward": 0,
"task_id": "django__django-14351",
"trajectory_id": "claude-4-opus/django__django-14351"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 13,
"reward": 1,
"task_id": "django__django-14373",
"trajectory_id": "claude-4-opus/django__django-14373"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 11,
"reward": 0,
"task_id": "django__django-14376",
"trajectory_id": "claude-4-opus/django__django-14376"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 19,
"reward": 1,
"task_id": "django__django-14493",
"trajectory_id": "claude-4-opus/django__django-14493"
} |
10,107 | 5,120 | Qwen/Qwen3.6-27B | 32,768 | -1 | 6,108 | 3,999 | train | stable_hash_on_task_id(seed=42, val_ratio=0.2) | {
"agent_name": "mini-swe-agent",
"model": "claude-4-opus",
"n_steps": 24,
"reward": 1,
"task_id": "django__django-14500",
"trajectory_id": "claude-4-opus/django__django-14500"
} |
End of preview.
SWE-Bench Verified TRM Trajectory Embeddings (25 Models, task-disjoint)
Precomputed trajectory embeddings for the 25-model SWE-Bench Verified TRM set, the embedding companion to tarsur385/swev-trm-trajectories-25models. Same trajectories, same task-disjoint split (stable hash on task_id, val_ratio=0.20, seed=42); trajectory_id matches the text dataset 1:1.
Each trajectory is embedded with Qwen/Qwen3.6-27B (mean-pooled last hidden state), hidden size 5120.
| Split | Trajectories | Tasks | Pos | Neg | dim |
|---|---|---|---|---|---|
| train | 10,107 | 405 | 6,108 | 3,999 | 5120 |
| val | 2,366 | 95 | 1,440 | 926 | 5120 |
Train/val are task-disjoint: every SWE-bench instance_id is in exactly one split.
Files
train/trajectory_embeddings.pt # float tensor [N, 5120], row i aligns with metadata trajectories[i]
train/rewards.pt # float tensor [N] (1.0 resolved / 0.0 failed)
train/metadata.json # num_trajectories, hidden_size, model_name, split_method, trajectories[]
val/ ... # same layout
metadata.json trajectories[i] has trajectory_id, task_id, agent_name, model, reward, n_steps and is row-aligned with the tensors.
Loading
import torch, json
emb = torch.load("train/trajectory_embeddings.pt")
rew = torch.load("train/rewards.pt")
meta = json.load(open("train/metadata.json"))["trajectories"]
assert emb.shape[0] == rew.shape[0] == len(meta)
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