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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 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.
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) |
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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