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Duplicate
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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type int64 to null
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2059, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                  ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2059, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                  ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2143, in cast_array_to_feature
                  return array_cast(
                      array,
                  ...<2 lines>...
                      allow_decimal_to_str=allow_decimal_to_str,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2005, in array_cast
                  raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
              TypeError: Couldn't cast array of type int64 to null
              
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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evaluation
dict
events
list
instance_id
string
language
string
normalization
dict
participant
dict
prompts
list
repository
string
run
dict
schema_version
string
trajectory_id
string
usage
dict
{ "agent_exit_status": "submitted", "evaluation_matches_selected": true, "resolved": true, "status": "resolved" }
[ { "completeness": "partial", "invocation": { "arguments": [ "--model=claude-fable-5", "--effort=high", "--tools=Bash,Read,Write,Edit,Glob,Grep", "--allowedTools=Bash,Read,Write,Edit,Glob,Grep", "--append-system-prompt=Implement the requested fix directly in the ...
ArcadeData__arcadedb-4281
java
{ "cache_tool_results_omitted": 0, "infrastructure_redactions": {}, "tool_result_limit_bytes": 65536, "truncated_tool_results": 0 }
{ "key": "claude-code", "model": "fable-5", "reasoning_effort": null, "scaffold": "claude-code", "type": "agentic_system" }
[ { "content": "Implement the requested fix directly in the repository. Inspect the relevant code, edit the necessary files, run appropriate tests or checks, and continue iterating until the task is resolved. Do not stop after only analyzing or proposing a solution.", "role": "system", "status": "exact_cl...
ArcadeData/arcadedb
{ "attempt": "canonical", "index": 0, "retry_number": null }
1.1.0
claude-code__run-0__ArcadeData__arcadedb-4281
{ "cost_usd": 0.589337, "model_calls": 1, "steps": 16, "tokens": { "aux_models": 0, "cache_creation": 20106, "cached_input": 483325, "input": 72, "note": "Token counter semantics are provider- and harness-specific.", "output": 8819, "primary_model": 512322, "reasoning": null, ...
{ "agent_exit_status": "submitted", "evaluation_matches_selected": true, "resolved": true, "status": "resolved" }
[ { "completeness": "partial", "invocation": { "arguments": [ "--model=claude-fable-5", "--effort=high", "--tools=Bash,Read,Write,Edit,Glob,Grep", "--allowedTools=Bash,Read,Write,Edit,Glob,Grep", "--append-system-prompt=Implement the requested fix directly in the ...
ArcadeData__arcadedb-4411
java
{ "cache_tool_results_omitted": 0, "infrastructure_redactions": {}, "tool_result_limit_bytes": 65536, "truncated_tool_results": 0 }
{ "key": "claude-code", "model": "fable-5", "reasoning_effort": null, "scaffold": "claude-code", "type": "agentic_system" }
[ { "content": "Implement the requested fix directly in the repository. Inspect the relevant code, edit the necessary files, run appropriate tests or checks, and continue iterating until the task is resolved. Do not stop after only analyzing or proposing a solution.", "role": "system", "status": "exact_cl...
ArcadeData/arcadedb
{ "attempt": "canonical", "index": 0, "retry_number": null }
1.1.0
claude-code__run-0__ArcadeData__arcadedb-4411
{ "cost_usd": 0.94488675, "model_calls": 1, "steps": 33, "tokens": { "aux_models": 0, "cache_creation": 32387, "cached_input": 1014426, "input": 60, "note": "Token counter semantics are provider- and harness-specific.", "output": 9370, "primary_model": 1056243, "reasoning": null,...
{"agent_exit_status":"submitted","evaluation_matches_selected":true,"resolved":true,"status":"resolv(...TRUNCATED)
[{"completeness":"partial","invocation":{"arguments":["--model=claude-fable-5","--effort=high","--to(...TRUNCATED)
ArcadeData__arcadedb-4455
java
{"cache_tool_results_omitted":0,"infrastructure_redactions":{"known_secrets":1,"sensitive_env_values(...TRUNCATED)
{"key":"claude-code","model":"fable-5","reasoning_effort":null,"scaffold":"claude-code","type":"agen(...TRUNCATED)
[{"content":"Implement the requested fix directly in the repository. Inspect the relevant code, edit(...TRUNCATED)
ArcadeData/arcadedb
{ "attempt": "canonical", "index": 0, "retry_number": null }
1.1.0
claude-code__run-0__ArcadeData__arcadedb-4455
{"cost_usd":9.25167,"model_calls":1,"steps":86,"tokens":{"aux_models":0,"cache_creation":207494,"cac(...TRUNCATED)
{"agent_exit_status":"submitted","evaluation_matches_selected":true,"resolved":true,"status":"resolv(...TRUNCATED)
[{"completeness":"partial","invocation":{"arguments":["--model=claude-fable-5","--effort=high","--to(...TRUNCATED)
Gentleman-Programming__gentle-ai-595
go
{"cache_tool_results_omitted":0,"infrastructure_redactions":{},"tool_result_limit_bytes":65536,"trun(...TRUNCATED)
{"key":"claude-code","model":"fable-5","reasoning_effort":null,"scaffold":"claude-code","type":"agen(...TRUNCATED)
[{"content":"Implement the requested fix directly in the repository. Inspect the relevant code, edit(...TRUNCATED)
Gentleman-Programming/gentle-ai
{ "attempt": "canonical", "index": 0, "retry_number": null }
1.1.0
claude-code__run-0__Gentleman-Programming__gentle-ai-595
{"cost_usd":1.1375215,"model_calls":1,"steps":22,"tokens":{"aux_models":0,"cache_creation":60190,"ca(...TRUNCATED)
{"agent_exit_status":"submitted","evaluation_matches_selected":true,"resolved":true,"status":"resolv(...TRUNCATED)
[{"completeness":"partial","invocation":{"arguments":["--model=claude-fable-5","--effort=high","--to(...TRUNCATED)
HKUDS__nanobot-4048
python
{"cache_tool_results_omitted":0,"infrastructure_redactions":{},"tool_result_limit_bytes":65536,"trun(...TRUNCATED)
{"key":"claude-code","model":"fable-5","reasoning_effort":null,"scaffold":"claude-code","type":"agen(...TRUNCATED)
[{"content":"Implement the requested fix directly in the repository. Inspect the relevant code, edit(...TRUNCATED)
HKUDS/nanobot
{ "attempt": "canonical", "index": 0, "retry_number": null }
1.1.0
claude-code__run-0__HKUDS__nanobot-4048
{"cost_usd":1.3632795,"model_calls":1,"steps":28,"tokens":{"aux_models":0,"cache_creation":53670,"ca(...TRUNCATED)
{"agent_exit_status":"submitted","evaluation_matches_selected":true,"resolved":false,"status":"faile(...TRUNCATED)
[{"completeness":"partial","invocation":{"arguments":["--model=claude-fable-5","--effort=high","--to(...TRUNCATED)
HKUDS__nanobot-4129
python
{"cache_tool_results_omitted":0,"infrastructure_redactions":{},"tool_result_limit_bytes":65536,"trun(...TRUNCATED)
{"key":"claude-code","model":"fable-5","reasoning_effort":null,"scaffold":"claude-code","type":"agen(...TRUNCATED)
[{"content":"Implement the requested fix directly in the repository. Inspect the relevant code, edit(...TRUNCATED)
HKUDS/nanobot
{ "attempt": "canonical", "index": 0, "retry_number": null }
1.1.0
claude-code__run-0__HKUDS__nanobot-4129
{"cost_usd":1.11908675,"model_calls":1,"steps":23,"tokens":{"aux_models":0,"cache_creation":34825,"c(...TRUNCATED)
{"agent_exit_status":"submitted","evaluation_matches_selected":true,"resolved":false,"status":"faile(...TRUNCATED)
[{"completeness":"partial","invocation":{"arguments":["--model=claude-fable-5","--effort=high","--to(...TRUNCATED)
HKUDS__nanobot-4274
python
{"cache_tool_results_omitted":0,"infrastructure_redactions":{},"tool_result_limit_bytes":65536,"trun(...TRUNCATED)
{"key":"claude-code","model":"fable-5","reasoning_effort":null,"scaffold":"claude-code","type":"agen(...TRUNCATED)
[{"content":"Implement the requested fix directly in the repository. Inspect the relevant code, edit(...TRUNCATED)
HKUDS/nanobot
{ "attempt": "canonical", "index": 0, "retry_number": null }
1.1.0
claude-code__run-0__HKUDS__nanobot-4274
{"cost_usd":5.195418,"model_calls":1,"steps":84,"tokens":{"aux_models":0,"cache_creation":127390,"ca(...TRUNCATED)
{"agent_exit_status":"submitted","evaluation_matches_selected":true,"resolved":false,"status":"faile(...TRUNCATED)
[{"completeness":"partial","invocation":{"arguments":["--model=claude-fable-5","--effort=high","--to(...TRUNCATED)
Martian-Engineering__lossless-claw-814
typescript
{"cache_tool_results_omitted":0,"infrastructure_redactions":{},"tool_result_limit_bytes":65536,"trun(...TRUNCATED)
{"key":"claude-code","model":"fable-5","reasoning_effort":null,"scaffold":"claude-code","type":"agen(...TRUNCATED)
[{"content":"Implement the requested fix directly in the repository. Inspect the relevant code, edit(...TRUNCATED)
Martian-Engineering/lossless-claw
{ "attempt": "canonical", "index": 0, "retry_number": null }
1.1.0
claude-code__run-0__Martian-Engineering__lossless-claw-814
{"cost_usd":5.1765185,"model_calls":1,"steps":76,"tokens":{"aux_models":0,"cache_creation":128268,"c(...TRUNCATED)
{"agent_exit_status":"submitted","evaluation_matches_selected":true,"resolved":false,"status":"faile(...TRUNCATED)
[{"completeness":"partial","invocation":{"arguments":["--model=claude-fable-5","--effort=high","--to(...TRUNCATED)
PerryTS__perry-3982
rust
{"cache_tool_results_omitted":0,"infrastructure_redactions":{},"tool_result_limit_bytes":65536,"trun(...TRUNCATED)
{"key":"claude-code","model":"fable-5","reasoning_effort":null,"scaffold":"claude-code","type":"agen(...TRUNCATED)
[{"content":"Implement the requested fix directly in the supplied repository. Work autonomously: ins(...TRUNCATED)
PerryTS/perry
{ "attempt": "canonical", "index": 0, "retry_number": null }
1.1.0
claude-code__run-0__PerryTS__perry-3982
{"cost_usd":3.6967035,"model_calls":1,"steps":75,"tokens":{"aux_models":0,"cache_creation":89046,"ca(...TRUNCATED)
{"agent_exit_status":"submitted","evaluation_matches_selected":true,"resolved":false,"status":"faile(...TRUNCATED)
[{"completeness":"partial","invocation":{"arguments":["--model=claude-fable-5","--effort=high","--to(...TRUNCATED)
Soju06__codex-lb-744
python
{"cache_tool_results_omitted":0,"infrastructure_redactions":{},"tool_result_limit_bytes":65536,"trun(...TRUNCATED)
{"key":"claude-code","model":"fable-5","reasoning_effort":null,"scaffold":"claude-code","type":"agen(...TRUNCATED)
[{"content":"Implement the requested fix directly in the repository. Inspect the relevant code, edit(...TRUNCATED)
Soju06/codex-lb
{ "attempt": "canonical", "index": 0, "retry_number": null }
1.1.0
claude-code__run-0__Soju06__codex-lb-744
{"cost_usd":1.751026,"model_calls":1,"steps":45,"tokens":{"aux_models":0,"cache_creation":49886,"cac(...TRUNCATED)
End of preview.

SWE-rebench trajectories

This dataset contains 9,435 normalized software-engineering agent trajectories: 111 tasks, 17 participants, and five runs per participant. It includes 13 standalone models in a common scaffold and four agentic systems: Claude Code, Codex, Cursor, and Junie.

Each JSONL row contains the participant and run, rendered or exposed prompts, ordered agent/tool events, available time and token usage, and evaluation and exit statuses. Submitted patches are not included.

Files are organized as:

trajectories/<participant>/run_<0..4>.jsonl.gz

Each shard contains 111 trajectories. The record format is defined in schema.json; example_trajectory.pretty.json contains a readable example.

License

Task text, repository-derived content, and code excerpts remain subject to the licenses of their respective source repositories. Agent trajectories and model outputs remain subject to the applicable licenses and terms of the corresponding agents and model providers. This dataset does not relicense third-party content; users are responsible for complying with those licenses and terms.

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